Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 130902.0020.fits,dispaxis = 1 130902.0020.fits updated add 130902.0022.fits,dispaxis = 1 130902.0022.fits updated add 130902.0023.fits,dispaxis = 1 130902.0023.fits updated add 130902.0025.fits,dispaxis = 1 130902.0025.fits updated add 130902.0026.fits,dispaxis = 1 130902.0026.fits updated add 130902.0027.fits,dispaxis = 1 130902.0027.fits updated add 130902.0029.fits,dispaxis = 1 130902.0029.fits updated add 130902.0030.fits,dispaxis = 1 130902.0030.fits updated add 130902.0032.fits,dispaxis = 1 130902.0032.fits updated add 130902.0033.fits,dispaxis = 1 130902.0033.fits updated add 130902.0034.fits,dispaxis = 1 130902.0034.fits updated add 130902.0035.fits,dispaxis = 1 130902.0035.fits updated add 130902.0036.fits,dispaxis = 1 130902.0036.fits updated add 130902.0037.fits,dispaxis = 1 130902.0037.fits updated add 130902.0038.fits,dispaxis = 1 130902.0038.fits updated add 130902.0041.fits,dispaxis = 1 130902.0041.fits updated add 130902.0042.fits,dispaxis = 1 130902.0042.fits updated add 130902.0043.fits,dispaxis = 1 130902.0043.fits updated add 130902.0045.fits,dispaxis = 1 130902.0045.fits updated add 130902.0046.fits,dispaxis = 1 130902.0046.fits updated add 130902.0048.fits,dispaxis = 1 130902.0048.fits updated add 130902.0050.fits,dispaxis = 1 130902.0050.fits updated add 130902.0051.fits,dispaxis = 1 130902.0051.fits updated add 130902.0052.fits,dispaxis = 1 130902.0052.fits updated add 130902.0054.fits,dispaxis = 1 130902.0054.fits updated add 130902.0056.fits,dispaxis = 1 130902.0056.fits updated add 130902_ThAr.0021.fits,dispaxis = 1 130902_ThAr.0021.fits updated add 130902_ThAr.0024.fits,dispaxis = 1 130902_ThAr.0024.fits updated add 130902_ThAr.0028.fits,dispaxis = 1 130902_ThAr.0028.fits updated add 130902_ThAr.0031.fits,dispaxis = 1 130902_ThAr.0031.fits updated add Flat.0003.fits,dispaxis = 1 Flat.0003.fits updated add Flat.0004.fits,dispaxis = 1 Flat.0004.fits updated add Flat.0005.fits,dispaxis = 1 Flat.0005.fits updated add Flat.0006.fits,dispaxis = 1 Flat.0006.fits updated add Flat.0007.fits,dispaxis = 1 Flat.0007.fits updated add Flat.0008.fits,dispaxis = 1 Flat.0008.fits updated add Flat.0009.fits,dispaxis = 1 Flat.0009.fits updated add Flat.0010.fits,dispaxis = 1 Flat.0010.fits updated add Flat.0011.fits,dispaxis = 1 Flat.0011.fits updated add FlatBlue.0012.fits,dispaxis = 1 FlatBlue.0012.fits updated add FlatBlue.0013.fits,dispaxis = 1 FlatBlue.0013.fits updated add FlatBlue.0014.fits,dispaxis = 1 FlatBlue.0014.fits updated add FlatBlue.0015.fits,dispaxis = 1 FlatBlue.0015.fits updated add FlatBlue.0016.fits,dispaxis = 1 FlatBlue.0016.fits updated add FlatBlue.0017.fits,dispaxis = 1 FlatBlue.0017.fits updated add FlatBlue.0018.fits,dispaxis = 1 FlatBlue.0018.fits updated add ThAr.0001.fits,dispaxis = 1 ThAr.0001.fits updated add ThAr.0002.fits,dispaxis = 1 ThAr.0002.fits updated add ThAr.0040.fits,dispaxis = 1 ThAr.0040.fits updated add ThAr.0044.fits,dispaxis = 1 ThAr.0044.fits updated add ThAr.0049.fits,dispaxis = 1 ThAr.0049.fits updated add ThAr.0053.fits,dispaxis = 1 ThAr.0053.fits updated add ThAr.0055.fits,dispaxis = 1 ThAr.0055.fits updated FIXPIX: image Flat.0003.fits with mask echmask.pl FIXPIX: image Flat.0004.fits with mask echmask.pl FIXPIX: image Flat.0005.fits with mask echmask.pl FIXPIX: image Flat.0006.fits with mask echmask.pl FIXPIX: image Flat.0007.fits with mask echmask.pl FIXPIX: image Flat.0008.fits with mask echmask.pl FIXPIX: image Flat.0009.fits with mask echmask.pl FIXPIX: image Flat.0010.fits with mask echmask.pl FIXPIX: image Flat.0011.fits with mask echmask.pl FIXPIX: image FlatBlue.0012.fits with mask echmask.pl FIXPIX: image FlatBlue.0013.fits with mask echmask.pl FIXPIX: image FlatBlue.0014.fits with mask echmask.pl FIXPIX: image FlatBlue.0015.fits with mask echmask.pl FIXPIX: image FlatBlue.0016.fits with mask echmask.pl FIXPIX: image FlatBlue.0017.fits with mask echmask.pl FIXPIX: image FlatBlue.0018.fits with mask echmask.pl FIXPIX: image 130902.0020.fits with mask echmask.pl FIXPIX: image 130902.0022.fits with mask echmask.pl FIXPIX: image 130902.0023.fits with mask echmask.pl FIXPIX: image 130902.0025.fits with mask echmask.pl FIXPIX: image 130902.0026.fits with mask echmask.pl FIXPIX: image 130902.0027.fits with mask echmask.pl FIXPIX: image 130902.0029.fits with mask echmask.pl FIXPIX: image 130902.0030.fits with mask echmask.pl FIXPIX: image 130902.0032.fits with mask echmask.pl FIXPIX: image 130902.0041.fits with mask echmask.pl FIXPIX: image 130902.0042.fits with mask echmask.pl FIXPIX: image 130902.0043.fits with mask echmask.pl FIXPIX: image 130902.0045.fits with mask echmask.pl FIXPIX: image 130902.0046.fits with mask echmask.pl FIXPIX: image 130902.0048.fits with mask echmask.pl FIXPIX: image 130902.0050.fits with mask echmask.pl FIXPIX: image 130902.0051.fits with mask echmask.pl FIXPIX: image 130902.0052.fits with mask echmask.pl FIXPIX: image 130902.0054.fits with mask echmask.pl FIXPIX: image 130902.0056.fits with mask echmask.pl FIXPIX: image 130902_ThAr.0021.fits with mask echmask.pl FIXPIX: image 130902_ThAr.0024.fits with mask echmask.pl FIXPIX: image 130902_ThAr.0028.fits with mask echmask.pl FIXPIX: image 130902_ThAr.0031.fits with mask echmask.pl FIXPIX: image ThAr.0001.fits with mask echmask.pl FIXPIX: image ThAr.0002.fits with mask echmask.pl FIXPIX: image ThAr.0040.fits with mask echmask.pl FIXPIX: image ThAr.0044.fits with mask echmask.pl FIXPIX: image ThAr.0049.fits with mask echmask.pl FIXPIX: image ThAr.0053.fits with mask echmask.pl FIXPIX: image ThAr.0055.fits with mask echmask.pl Dec 9 16:43: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp 130902.0033.fits 0.0 130902.0034.fits 0.9 130902.0035.fits 0.0 130902.0036.fits 0.9 130902.0037.fits 0.0 130902.0038.fits 0.9 Output image = bias_fid, ncombine = 6 Calibrating object images and flats (bias, and trimming)... 130902.0020.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] bias_fid: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0020.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0022.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0022.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0023.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0023.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0025.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0025.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0026.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0026.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0027.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0027.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0029.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0029.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0030.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0030.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0032.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0032.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0041.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0041.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0042.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0042.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0043.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0043.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0045.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0045.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0046.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0046.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0048.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0048.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0050.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0050.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0051.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0051.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0052.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0052.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0054.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0054.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902.0056.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902.0056.fits: Dec 9 16:43 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Flat.0003.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] Flat.0003.fits: Dec 9 16:43 Zero level correction image is bias_fid Flat.0004.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] Flat.0004.fits: Dec 9 16:43 Zero level correction image is bias_fid Flat.0005.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] Flat.0005.fits: Dec 9 16:43 Zero level correction image is bias_fid Flat.0006.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] Flat.0006.fits: Dec 9 16:43 Zero level correction image is bias_fid Flat.0007.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] Flat.0007.fits: Dec 9 16:43 Zero level correction image is bias_fid Flat.0008.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] Flat.0008.fits: Dec 9 16:43 Zero level correction image is bias_fid Flat.0009.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] Flat.0009.fits: Dec 9 16:43 Zero level correction image is bias_fid Flat.0010.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] Flat.0010.fits: Dec 9 16:43 Zero level correction image is bias_fid Flat.0011.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] Flat.0011.fits: Dec 9 16:43 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... FlatBlue.0012.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] FlatBlue.0012.fits: Dec 9 16:43 Zero level correction image is bias_fid FlatBlue.0013.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] FlatBlue.0013.fits: Dec 9 16:43 Zero level correction image is bias_fid FlatBlue.0014.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] FlatBlue.0014.fits: Dec 9 16:43 Zero level correction image is bias_fid FlatBlue.0015.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] FlatBlue.0015.fits: Dec 9 16:43 Zero level correction image is bias_fid FlatBlue.0016.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] FlatBlue.0016.fits: Dec 9 16:43 Zero level correction image is bias_fid FlatBlue.0017.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] FlatBlue.0017.fits: Dec 9 16:43 Zero level correction image is bias_fid FlatBlue.0018.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] FlatBlue.0018.fits: Dec 9 16:43 Zero level correction image is bias_fid Calibrating ThAr arcs... 130902_ThAr.0021.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902_ThAr.0021.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902_ThAr.0024.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902_ThAr.0024.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902_ThAr.0028.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902_ThAr.0028.fits: Dec 9 16:43 Zero level correction image is bias_fid 130902_ThAr.0031.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] 130902_ThAr.0031.fits: Dec 9 16:43 Zero level correction image is bias_fid ThAr.0001.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] ThAr.0001.fits: Dec 9 16:43 Zero level correction image is bias_fid ThAr.0002.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] ThAr.0002.fits: Dec 9 16:43 Zero level correction image is bias_fid ThAr.0040.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] ThAr.0040.fits: Dec 9 16:43 Zero level correction image is bias_fid ThAr.0044.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] ThAr.0044.fits: Dec 9 16:43 Zero level correction image is bias_fid ThAr.0049.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] ThAr.0049.fits: Dec 9 16:43 Zero level correction image is bias_fid ThAr.0053.fits: Dec 9 16:43 Trim data section is [200:1850,1:2048] ThAr.0053.fits: Dec 9 16:43 Zero level correction image is bias_fid ThAr.0055.fits: Dec 9 16:44 Trim data section is [200:1850,1:2048] ThAr.0055.fits: Dec 9 16:44 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 9 16:47: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp FlatBlue.0012.fits 200.0 FlatBlue.0013.fits 200.0 FlatBlue.0014.fits 200.0 FlatBlue.0015.fits 200.0 FlatBlue.0016.fits 200.0 FlatBlue.0017.fits 200.0 FlatBlue.0018.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 7 Dec 9 16:47: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp Flat.0003.fits 7.0 Flat.0004.fits 7.0 Flat.0005.fits 7.0 Flat.0006.fits 7.0 Flat.0007.fits 7.0 Flat.0008.fits 7.0 Flat.0009.fits 7.0 Flat.0010.fits 7.0 Flat.0011.fits 7.0 Output image = flat_red_mean.fits, ncombine = 9 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 9 16:47: TRACE - Trace of aperture 95 in flat_fid_mag lost at column 100. Dec 9 16:47: TRACE - Trace of aperture 95 in flat_fid_mag recovered at column 99. Dec 9 16:47: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 97. Dec 9 16:47: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 96. Dec 9 16:47: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 95. Dec 9 16:47: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1618. Dec 9 16:47: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1619. Dec 9 16:47: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1620. Dec 9 16:47: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1594. Dec 9 16:47: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1595. Dec 9 16:47: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1596. Dec 9 16:47: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 105. Dec 9 16:47: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 104. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1560. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1561. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1590. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1591. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1594. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1595. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1597. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1598. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1603. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1604. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1610. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1611. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1622. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1623. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1625. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1626. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1627. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 152. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 151. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 92. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 91. Dec 9 16:47: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 90. Dec 9 16:47: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1573. Dec 9 16:47: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1574. Dec 9 16:47: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1575. Dec 9 16:47: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 178. Dec 9 16:47: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 177. Dec 9 16:47: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 140. Dec 9 16:47: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 139. Dec 9 16:47: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 138. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1509. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1510. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1511. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1546. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1547. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1548. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 163. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 162. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 152. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 151. Dec 9 16:47: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 150. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1500. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1501. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1534. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1535. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1536. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1578. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1579. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1588. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1589. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1590. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1595. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1596. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1597. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1598. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1599. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1605. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1606. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1607. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1608. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1609. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1615. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1616. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1634. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1635. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1636. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 151. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 150. Dec 9 16:47: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 149. Dec 9 16:47: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1532. Dec 9 16:47: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1533. Dec 9 16:47: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1534. Dec 9 16:47: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 178. Dec 9 16:47: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 177. Dec 9 16:47: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 176. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1503. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1504. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1507. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1508. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1525. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1526. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1527. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1533. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1534. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1539. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1540. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1541. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1551. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1552. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1561. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1562. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1563. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 207. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 206. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 188. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 187. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 186. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 166. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 165. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 164. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 161. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 160. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 159. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 157. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 156. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 152. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 151. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 150. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 148. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 147. Dec 9 16:47: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 146. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1450. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1451. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1457. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1458. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1478. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1479. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1480. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1481. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1482. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 249. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 248. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 207. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 206. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 182. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 181. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 177. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 176. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 175. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 174. Dec 9 16:47: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 173. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1386. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1387. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1388. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1427. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1428. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1429. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 263. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 262. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 211. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 210. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 208. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 207. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 175. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 174. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 134. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 133. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 132. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 131. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 130. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 129. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 125. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 124. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 119. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 118. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 112. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 111. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 110. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 105. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 104. Dec 9 16:47: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 103. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1451. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1452. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1453. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 312. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 311. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 276. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 275. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 232. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 231. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 222. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 221. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 220. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 219. Dec 9 16:47: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 218. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1388. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1389. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1398. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1399. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1400. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 316. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 315. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 281. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 280. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 275. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 274. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 273. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 244. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 243. Dec 9 16:47: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 242. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1274. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1275. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1276. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1277. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1325. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1326. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1331. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1332. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1334. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1335. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1336. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1337. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1338. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1343. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1344. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1345. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 333. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 332. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 273. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 272. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 271. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 262. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 261. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 256. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 255. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 245. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 244. Dec 9 16:47: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 243. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1160. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1161. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1162. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1224. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1225. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1226. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1233. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1234. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1235. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1236. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1237. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1244. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1245. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1246. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 309. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 308. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 284. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 283. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 278. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 277. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 269. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 268. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 257. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 256. Dec 9 16:47: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 255. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1138. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1139. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1140. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1171. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1172. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1197. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1198. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1199. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 565. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 564. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 459. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 458. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 420. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 419. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 380. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 379. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 367. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 366. Dec 9 16:47: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 365. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 860. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 861. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 925. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 926. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 927. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 928. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 939. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 940. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 941. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1037. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1038. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1076. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1077. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1078. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 807. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 806. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 805. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 764. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 763. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 762. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 761. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 505. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 504. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 463. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 462. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 461. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 374. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 373. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 372. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 358. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 357. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 356. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 343. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 342. Dec 9 16:47: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 341. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 10.78 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... 130902_ThAr.0021.fits Magnify image 130902_ThAr.0021.fits to image 130902_ThAr.0021.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902_ThAr.0021.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902_ThAr.0021.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 130902_ThAr.0024.fits Magnify image 130902_ThAr.0024.fits to image 130902_ThAr.0024.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902_ThAr.0024.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902_ThAr.0024.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 130902_ThAr.0028.fits Magnify image 130902_ThAr.0028.fits to image 130902_ThAr.0028.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902_ThAr.0028.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902_ThAr.0028.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 130902_ThAr.0031.fits Magnify image 130902_ThAr.0031.fits to image 130902_ThAr.0031.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902_ThAr.0031.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902_ThAr.0031.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0001.fits Magnify image ThAr.0001.fits to image ThAr.0001.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0001.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0001.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0002.fits Magnify image ThAr.0002.fits to image ThAr.0002.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0002.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0002.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0040.fits Magnify image ThAr.0040.fits to image ThAr.0040.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0040.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0040.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0044.fits Magnify image ThAr.0044.fits to image ThAr.0044.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0044.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0044.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0049.fits Magnify image ThAr.0049.fits to image ThAr.0049.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0049.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0049.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0053.fits Magnify image ThAr.0053.fits to image ThAr.0053.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0053.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0053.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0055.fits Magnify image ThAr.0055.fits to image ThAr.0055.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0055.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0055.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130902.0020 Magnify image 130902.0020 to image 130902.0020. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0020,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0020 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0020 -> noscat130902.0020 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130902.0022 Magnify image 130902.0022 to image 130902.0022. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0022 -> noscat130902.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 16:52: EXTRACT: WARNING - Aperture 105: Dec 9 16:52: Total variance weighted spectrum flux is 17893.93 Dec 9 16:52: Total unweighted spectrum flux is 7429.741 Dec 9 16:52: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4152101 Dec 9 16:52: EXTRACT: WARNING - Aperture 106: Dec 9 16:52: Total variance weighted spectrum flux is 8840.304 Dec 9 16:52: Total unweighted spectrum flux is 2943.229 Dec 9 16:52: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3329329 Dec 9 16:52: EXTRACT: WARNING - Aperture 107: Dec 9 16:52: Total variance weighted spectrum flux is 9626.563 Dec 9 16:52: Total unweighted spectrum flux is 3999.288 Dec 9 16:52: EXTRACT: Aperture 107 variance spectrum bias factor is 0.415443 Dec 9 16:52: EXTRACT: WARNING - Aperture 108: Dec 9 16:52: Total variance weighted spectrum flux is 9102.897 Dec 9 16:52: Total unweighted spectrum flux is 3632.831 Dec 9 16:52: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3990851 Dec 9 16:52: EXTRACT: WARNING - Aperture 109: Dec 9 16:52: Total variance weighted spectrum flux is 3894.778 Dec 9 16:52: Total unweighted spectrum flux is 1203.292 Dec 9 16:52: EXTRACT: Aperture 109 variance spectrum bias factor is 0.30895 Dec 9 16:52: EXTRACT: WARNING - Aperture 110: Dec 9 16:52: Total variance weighted spectrum flux is 8905.483 Dec 9 16:52: Total unweighted spectrum flux is 3042.765 Dec 9 16:52: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3416732 Dec 9 16:52: EXTRACT: WARNING - Aperture 111: Dec 9 16:52: Total variance weighted spectrum flux is 6689.171 Dec 9 16:52: Total unweighted spectrum flux is 1144.572 Dec 9 16:52: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1711081 Dec 9 16:52: EXTRACT: WARNING - Aperture 112: Dec 9 16:52: Total variance weighted spectrum flux is 10509.01 Dec 9 16:52: Total unweighted spectrum flux is 4085.82 Dec 9 16:52: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3887921 Dec 9 16:52: EXTRACT: WARNING - Aperture 113: Dec 9 16:52: Total variance weighted spectrum flux is 9220.277 Dec 9 16:52: Total unweighted spectrum flux is 3997.109 Dec 9 16:52: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4335129 Dec 9 16:52: EXTRACT: WARNING - Aperture 114: Dec 9 16:52: Total variance weighted spectrum flux is 6550.209 Dec 9 16:52: Total unweighted spectrum flux is -740.881 Dec 9 16:52: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 130902.0023 Magnify image 130902.0023 to image 130902.0023. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0023 -> noscat130902.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 16:54: EXTRACT: WARNING - Aperture 101: Dec 9 16:54: Total variance weighted spectrum flux is 8096.066 Dec 9 16:54: Total unweighted spectrum flux is -3839.591 Dec 9 16:54: Variance spectrum bias factor ignored Dec 9 16:54: EXTRACT: WARNING - Aperture 107: Dec 9 16:54: Total variance weighted spectrum flux is 10110.25 Dec 9 16:54: Total unweighted spectrum flux is 3323.834 Dec 9 16:54: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3287589 Dec 9 16:54: EXTRACT: WARNING - Aperture 108: Dec 9 16:54: Total variance weighted spectrum flux is 4264.691 Dec 9 16:54: Total unweighted spectrum flux is 1718.57 Dec 9 16:54: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4029765 Dec 9 16:54: EXTRACT: WARNING - Aperture 109: Dec 9 16:54: Total variance weighted spectrum flux is 11167.68 Dec 9 16:54: Total unweighted spectrum flux is 3143.944 Dec 9 16:54: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2815216 Dec 9 16:54: EXTRACT: WARNING - Aperture 111: Dec 9 16:54: Total variance weighted spectrum flux is 8161.975 Dec 9 16:54: Total unweighted spectrum flux is 3891.23 Dec 9 16:54: EXTRACT: Aperture 111 variance spectrum bias factor is 0.476751 Dec 9 16:54: EXTRACT: WARNING - Aperture 112: Dec 9 16:54: Total variance weighted spectrum flux is 5458.01 Dec 9 16:54: Total unweighted spectrum flux is 2002.575 Dec 9 16:54: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3669057 Dec 9 16:54: EXTRACT: WARNING - Aperture 113: Dec 9 16:54: Total variance weighted spectrum flux is 6531.081 Dec 9 16:54: Total unweighted spectrum flux is 3165.323 Dec 9 16:54: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4846552 Dec 9 16:54: EXTRACT: WARNING - Aperture 114: Dec 9 16:54: Total variance weighted spectrum flux is 2448.235 Dec 9 16:54: Total unweighted spectrum flux is -147.1064 Dec 9 16:54: Variance spectrum bias factor ignored Dec 9 16:54: EXTRACT: WARNING - Aperture 115: Dec 9 16:54: Total variance weighted spectrum flux is 1892.239 Dec 9 16:54: Total unweighted spectrum flux is 680.1718 Dec 9 16:54: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3594534 Resampling the object by a factor of 4 in the y direction... 130902.0025 Magnify image 130902.0025 to image 130902.0025. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0025 -> noscat130902.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 16:57: EXTRACT: WARNING - Aperture 114: Dec 9 16:57: Total variance weighted spectrum flux is 7308.95 Dec 9 16:57: Total unweighted spectrum flux is 1741.447 Dec 9 16:57: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2382623 Dec 9 16:57: EXTRACT: WARNING - Aperture 115: Dec 9 16:57: Total variance weighted spectrum flux is 6549.295 Dec 9 16:57: Total unweighted spectrum flux is 3062.118 Dec 9 16:57: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4675492 Resampling the object by a factor of 4 in the y direction... 130902.0026 Magnify image 130902.0026 to image 130902.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0026 -> noscat130902.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 16:59: EXTRACT: WARNING - Aperture 107: Dec 9 16:59: Total variance weighted spectrum flux is 7626.137 Dec 9 16:59: Total unweighted spectrum flux is 3427.279 Dec 9 16:59: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4494122 Dec 9 16:59: EXTRACT: WARNING - Aperture 108: Dec 9 16:59: Total variance weighted spectrum flux is 14810.95 Dec 9 16:59: Total unweighted spectrum flux is 6054.754 Dec 9 16:59: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4088025 Dec 9 16:59: EXTRACT: WARNING - Aperture 109: Dec 9 16:59: Total variance weighted spectrum flux is 2887.556 Dec 9 16:59: Total unweighted spectrum flux is -1803.559 Dec 9 16:59: Variance spectrum bias factor ignored Dec 9 16:59: EXTRACT: WARNING - Aperture 110: Dec 9 16:59: Total variance weighted spectrum flux is 10502.12 Dec 9 16:59: Total unweighted spectrum flux is 3441.683 Dec 9 16:59: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3277132 Dec 9 16:59: EXTRACT: WARNING - Aperture 111: Dec 9 16:59: Total variance weighted spectrum flux is 12009.54 Dec 9 16:59: Total unweighted spectrum flux is 3773.207 Dec 9 16:59: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3141841 Dec 9 16:59: EXTRACT: WARNING - Aperture 112: Dec 9 16:59: Total variance weighted spectrum flux is 7724.358 Dec 9 16:59: Total unweighted spectrum flux is 2776.504 Dec 9 16:59: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3594478 Dec 9 16:59: EXTRACT: WARNING - Aperture 113: Dec 9 16:59: Total variance weighted spectrum flux is 3959.615 Dec 9 16:59: Total unweighted spectrum flux is 797.9728 Dec 9 16:59: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2015278 Dec 9 16:59: EXTRACT: WARNING - Aperture 114: Dec 9 16:59: Total variance weighted spectrum flux is 4277.53 Dec 9 16:59: Total unweighted spectrum flux is 154.7393 Dec 9 16:59: EXTRACT: Aperture 114 variance spectrum bias factor is 0.03617491 Dec 9 16:59: EXTRACT: WARNING - Aperture 115: Dec 9 16:59: Total variance weighted spectrum flux is 5858.851 Dec 9 16:59: Total unweighted spectrum flux is 2256.662 Dec 9 16:59: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3851715 Resampling the object by a factor of 4 in the y direction... 130902.0027 Magnify image 130902.0027 to image 130902.0027. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0027 -> noscat130902.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 17:01: EXTRACT: WARNING - Aperture 113: Dec 9 17:01: Total variance weighted spectrum flux is 10045.92 Dec 9 17:01: Total unweighted spectrum flux is 4443.722 Dec 9 17:01: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4423408 Resampling the object by a factor of 4 in the y direction... 130902.0029 Magnify image 130902.0029 to image 130902.0029. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0029 -> noscat130902.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 17:03: EXTRACT: WARNING - Aperture 104: Dec 9 17:03: Total variance weighted spectrum flux is 13255.82 Dec 9 17:03: Total unweighted spectrum flux is 3977.84 Dec 9 17:03: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3000824 Dec 9 17:03: EXTRACT: WARNING - Aperture 105: Dec 9 17:03: Total variance weighted spectrum flux is 10286.32 Dec 9 17:03: Total unweighted spectrum flux is 4130.174 Dec 9 17:03: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4015211 Dec 9 17:03: EXTRACT: WARNING - Aperture 106: Dec 9 17:03: Total variance weighted spectrum flux is 7155.659 Dec 9 17:03: Total unweighted spectrum flux is 2907.473 Dec 9 17:03: EXTRACT: Aperture 106 variance spectrum bias factor is 0.406318 Dec 9 17:03: EXTRACT: WARNING - Aperture 107: Dec 9 17:03: Total variance weighted spectrum flux is 8983.548 Dec 9 17:03: Total unweighted spectrum flux is 402.6713 Dec 9 17:03: EXTRACT: Aperture 107 variance spectrum bias factor is 0.04482319 Dec 9 17:03: EXTRACT: WARNING - Aperture 108: Dec 9 17:03: Total variance weighted spectrum flux is 10782.57 Dec 9 17:03: Total unweighted spectrum flux is 3580.054 Dec 9 17:03: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3320223 Dec 9 17:03: EXTRACT: WARNING - Aperture 109: Dec 9 17:03: Total variance weighted spectrum flux is 5908.968 Dec 9 17:03: Total unweighted spectrum flux is 2400.151 Dec 9 17:03: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4061879 Dec 9 17:03: EXTRACT: WARNING - Aperture 110: Dec 9 17:03: Total variance weighted spectrum flux is 4099.598 Dec 9 17:03: Total unweighted spectrum flux is 1873.242 Dec 9 17:03: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4569332 Dec 9 17:03: EXTRACT: WARNING - Aperture 111: Dec 9 17:03: Total variance weighted spectrum flux is 7945.136 Dec 9 17:03: Total unweighted spectrum flux is 2540.491 Dec 9 17:03: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3197543 Dec 9 17:03: EXTRACT: WARNING - Aperture 112: Dec 9 17:03: Total variance weighted spectrum flux is 6470.395 Dec 9 17:03: Total unweighted spectrum flux is 281.3564 Dec 9 17:03: EXTRACT: Aperture 112 variance spectrum bias factor is 0.04348365 Dec 9 17:03: EXTRACT: WARNING - Aperture 113: Dec 9 17:03: Total variance weighted spectrum flux is 1208.265 Dec 9 17:03: Total unweighted spectrum flux is -758.2087 Dec 9 17:03: Variance spectrum bias factor ignored Dec 9 17:03: EXTRACT: WARNING - Aperture 114: Dec 9 17:03: Total variance weighted spectrum flux is 4995.925 Dec 9 17:03: Total unweighted spectrum flux is 526.4864 Dec 9 17:03: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1053832 Dec 9 17:03: EXTRACT: WARNING - Aperture 115: Dec 9 17:03: Total variance weighted spectrum flux is 3923.577 Dec 9 17:03: Total unweighted spectrum flux is 1733.946 Dec 9 17:03: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4419299 Resampling the object by a factor of 4 in the y direction... 130902.0030 Magnify image 130902.0030 to image 130902.0030. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0030 -> noscat130902.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 17:04: EXTRACT: WARNING - Aperture 95: Dec 9 17:04: Total variance weighted spectrum flux is 17070. Dec 9 17:04: Total unweighted spectrum flux is 8279.607 Dec 9 17:04: EXTRACT: Aperture 95 variance spectrum bias factor is 0.4850386 Dec 9 17:04: EXTRACT: WARNING - Aperture 96: Dec 9 17:04: Total variance weighted spectrum flux is 18106.12 Dec 9 17:04: Total unweighted spectrum flux is 8831.321 Dec 9 17:04: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4877534 Dec 9 17:04: EXTRACT: WARNING - Aperture 97: Dec 9 17:04: Total variance weighted spectrum flux is 8805.721 Dec 9 17:04: Total unweighted spectrum flux is 3602.18 Dec 9 17:04: EXTRACT: Aperture 97 variance spectrum bias factor is 0.4090728 Dec 9 17:04: EXTRACT: WARNING - Aperture 100: Dec 9 17:04: Total variance weighted spectrum flux is 11195.84 Dec 9 17:04: Total unweighted spectrum flux is 5507.221 Dec 9 17:04: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4918989 Dec 9 17:04: EXTRACT: WARNING - Aperture 103: Dec 9 17:04: Total variance weighted spectrum flux is 8616.884 Dec 9 17:04: Total unweighted spectrum flux is -996.8549 Dec 9 17:04: Variance spectrum bias factor ignored Dec 9 17:04: EXTRACT: WARNING - Aperture 104: Dec 9 17:04: Total variance weighted spectrum flux is 4329.348 Dec 9 17:04: Total unweighted spectrum flux is 1520.44 Dec 9 17:04: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3511938 Dec 9 17:04: EXTRACT: WARNING - Aperture 105: Dec 9 17:04: Total variance weighted spectrum flux is 15854.46 Dec 9 17:04: Total unweighted spectrum flux is 4775.762 Dec 9 17:04: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3012251 Dec 9 17:04: EXTRACT: WARNING - Aperture 106: Dec 9 17:04: Total variance weighted spectrum flux is 6503.204 Dec 9 17:04: Total unweighted spectrum flux is 1901.07 Dec 9 17:04: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2923281 Dec 9 17:04: EXTRACT: WARNING - Aperture 107: Dec 9 17:04: Total variance weighted spectrum flux is 8363.949 Dec 9 17:04: Total unweighted spectrum flux is 1757.98 Dec 9 17:04: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2101854 Dec 9 17:04: EXTRACT: WARNING - Aperture 108: Dec 9 17:04: Total variance weighted spectrum flux is 8679.317 Dec 9 17:04: Total unweighted spectrum flux is 3040.23 Dec 9 17:04: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3502844 Dec 9 17:04: EXTRACT: WARNING - Aperture 109: Dec 9 17:04: Total variance weighted spectrum flux is 6854.457 Dec 9 17:04: Total unweighted spectrum flux is 1376.299 Dec 9 17:04: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2007889 Dec 9 17:04: EXTRACT: WARNING - Aperture 110: Dec 9 17:04: Total variance weighted spectrum flux is 6698.557 Dec 9 17:04: Total unweighted spectrum flux is 2547.1 Dec 9 17:04: EXTRACT: Aperture 110 variance spectrum bias factor is 0.380246 Dec 9 17:05: EXTRACT: WARNING - Aperture 111: Dec 9 17:05: Total variance weighted spectrum flux is 5676.674 Dec 9 17:05: Total unweighted spectrum flux is 733.0408 Dec 9 17:05: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1291321 Dec 9 17:05: EXTRACT: WARNING - Aperture 112: Dec 9 17:05: Total variance weighted spectrum flux is 8427.979 Dec 9 17:05: Total unweighted spectrum flux is 276.653 Dec 9 17:05: EXTRACT: Aperture 112 variance spectrum bias factor is 0.03282554 Dec 9 17:05: EXTRACT: WARNING - Aperture 113: Dec 9 17:05: Total variance weighted spectrum flux is 3967.176 Dec 9 17:05: Total unweighted spectrum flux is -2276.027 Dec 9 17:05: Variance spectrum bias factor ignored Dec 9 17:05: EXTRACT: WARNING - Aperture 114: Dec 9 17:05: Total variance weighted spectrum flux is 2896.936 Dec 9 17:05: Total unweighted spectrum flux is -3.466789 Dec 9 17:05: Variance spectrum bias factor ignored Dec 9 17:05: EXTRACT: WARNING - Aperture 115: Dec 9 17:05: Total variance weighted spectrum flux is 6001.337 Dec 9 17:05: Total unweighted spectrum flux is 2329.376 Dec 9 17:05: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3881428 Resampling the object by a factor of 4 in the y direction... 130902.0032 Magnify image 130902.0032 to image 130902.0032. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0032,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0032 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0032 -> noscat130902.0032 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 17:06: EXTRACT: WARNING - Aperture 102: Dec 9 17:06: Total variance weighted spectrum flux is 7159.155 Dec 9 17:06: Total unweighted spectrum flux is 779.3984 Dec 9 17:06: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1088674 Dec 9 17:06: EXTRACT: WARNING - Aperture 104: Dec 9 17:06: Total variance weighted spectrum flux is 5214.583 Dec 9 17:06: Total unweighted spectrum flux is 2509.332 Dec 9 17:06: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4812143 Dec 9 17:06: EXTRACT: WARNING - Aperture 105: Dec 9 17:06: Total variance weighted spectrum flux is 16792.28 Dec 9 17:06: Total unweighted spectrum flux is 7368.652 Dec 9 17:06: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4388118 Dec 9 17:06: EXTRACT: WARNING - Aperture 106: Dec 9 17:06: Total variance weighted spectrum flux is 15038.34 Dec 9 17:06: Total unweighted spectrum flux is 7492.285 Dec 9 17:06: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4982123 Dec 9 17:06: EXTRACT: WARNING - Aperture 108: Dec 9 17:06: Total variance weighted spectrum flux is 6335.84 Dec 9 17:06: Total unweighted spectrum flux is -555.3417 Dec 9 17:06: Variance spectrum bias factor ignored Dec 9 17:06: EXTRACT: WARNING - Aperture 109: Dec 9 17:06: Total variance weighted spectrum flux is 7601.649 Dec 9 17:06: Total unweighted spectrum flux is -1379.717 Dec 9 17:06: Variance spectrum bias factor ignored Dec 9 17:06: EXTRACT: WARNING - Aperture 110: Dec 9 17:06: Total variance weighted spectrum flux is 9328.235 Dec 9 17:06: Total unweighted spectrum flux is 4386.16 Dec 9 17:06: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4702025 Dec 9 17:06: EXTRACT: WARNING - Aperture 111: Dec 9 17:06: Total variance weighted spectrum flux is 7531.279 Dec 9 17:06: Total unweighted spectrum flux is 825.8608 Dec 9 17:06: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1096575 Dec 9 17:06: EXTRACT: WARNING - Aperture 112: Dec 9 17:06: Total variance weighted spectrum flux is 7765.209 Dec 9 17:06: Total unweighted spectrum flux is 1630.083 Dec 9 17:06: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2099213 Dec 9 17:06: EXTRACT: WARNING - Aperture 113: Dec 9 17:06: Total variance weighted spectrum flux is 3698.165 Dec 9 17:06: Total unweighted spectrum flux is 298.7802 Dec 9 17:06: EXTRACT: Aperture 113 variance spectrum bias factor is 0.0807915 Dec 9 17:06: EXTRACT: WARNING - Aperture 115: Dec 9 17:06: Total variance weighted spectrum flux is 1155.923 Dec 9 17:06: Total unweighted spectrum flux is 49.16183 Dec 9 17:06: EXTRACT: Aperture 115 variance spectrum bias factor is 0.04253035 Resampling the object by a factor of 4 in the y direction... 130902.0041 Magnify image 130902.0041 to image 130902.0041. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0041,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0041 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0041 -> noscat130902.0041 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130902.0042 Magnify image 130902.0042 to image 130902.0042. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0042,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0042 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0042 -> noscat130902.0042 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130902.0043 Magnify image 130902.0043 to image 130902.0043. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0043,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0043 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0043 -> noscat130902.0043 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130902.0045 Magnify image 130902.0045 to image 130902.0045. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0045,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0045 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0045 -> noscat130902.0045 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130902.0046 Magnify image 130902.0046 to image 130902.0046. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0046,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0046 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0046 -> noscat130902.0046 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130902.0048 Magnify image 130902.0048 to image 130902.0048. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0048,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0048 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0048 -> noscat130902.0048 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130902.0050 Magnify image 130902.0050 to image 130902.0050. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0050,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0050 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0050 -> noscat130902.0050 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130902.0051 Magnify image 130902.0051 to image 130902.0051. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0051,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0051 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0051 -> noscat130902.0051 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 17:17: EXTRACT: WARNING - Aperture 114: Dec 9 17:17: Total variance weighted spectrum flux is 1965.063 Dec 9 17:17: Total unweighted spectrum flux is 641.5191 Dec 9 17:17: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3264623 Resampling the object by a factor of 4 in the y direction... 130902.0052 Magnify image 130902.0052 to image 130902.0052. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0052,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0052 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0052 -> noscat130902.0052 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 17:17: EXTRACT: WARNING - Aperture 115: Dec 9 17:17: Total variance weighted spectrum flux is 4255.535 Dec 9 17:17: Total unweighted spectrum flux is 1356.169 Dec 9 17:17: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3186835 Resampling the object by a factor of 4 in the y direction... 130902.0054 Magnify image 130902.0054 to image 130902.0054. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0054,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0054 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0054 -> noscat130902.0054 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 17:18: EXTRACT: WARNING - Aperture 115: Dec 9 17:18: Total variance weighted spectrum flux is 2948.835 Dec 9 17:18: Total unweighted spectrum flux is -5.310177 Dec 9 17:18: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 130902.0056 Magnify image 130902.0056 to image 130902.0056. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130902.0056,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130902.0056 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130902.0056 -> noscat130902.0056 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add 130902_ThAr.0021.ec.fits,REFSPEC1 = 130902_ThAr.0021.ec.fits 130902_ThAr.0021.ec.fits updated add 130902_ThAr.0024.ec.fits,REFSPEC1 = 130902_ThAr.0024.ec.fits 130902_ThAr.0024.ec.fits updated add 130902_ThAr.0028.ec.fits,REFSPEC1 = 130902_ThAr.0028.ec.fits 130902_ThAr.0028.ec.fits updated add 130902_ThAr.0031.ec.fits,REFSPEC1 = 130902_ThAr.0031.ec.fits 130902_ThAr.0031.ec.fits updated add ThAr.0001.ec.fits,REFSPEC1 = ThAr.0001.ec.fits ThAr.0001.ec.fits updated add ThAr.0002.ec.fits,REFSPEC1 = ThAr.0002.ec.fits ThAr.0002.ec.fits updated add ThAr.0040.ec.fits,REFSPEC1 = ThAr.0040.ec.fits ThAr.0040.ec.fits updated add ThAr.0044.ec.fits,REFSPEC1 = ThAr.0044.ec.fits ThAr.0044.ec.fits updated add ThAr.0049.ec.fits,REFSPEC1 = ThAr.0049.ec.fits ThAr.0049.ec.fits updated add ThAr.0053.ec.fits,REFSPEC1 = ThAr.0053.ec.fits ThAr.0053.ec.fits updated add ThAr.0055.ec.fits,REFSPEC1 = ThAr.0055.ec.fits ThAr.0055.ec.fits updated Flatfielding extracted arcs and object spectra... add 130902_ThAr.0021.ec.fits,UTMIDDLE = 0 130902_ThAr.0021.ec.fits updated 130902_ThAr.0021.ec.fits,UTMIDDLE: 0 -> 02:36:35.777195 130902_ThAr.0021.ec.fits updated add 130902_ThAr.0024.ec.fits,UTMIDDLE = 0 130902_ThAr.0024.ec.fits updated 130902_ThAr.0024.ec.fits,UTMIDDLE: 0 -> 03:32:22.740223 130902_ThAr.0024.ec.fits updated add 130902_ThAr.0028.ec.fits,UTMIDDLE = 0 130902_ThAr.0028.ec.fits updated 130902_ThAr.0028.ec.fits,UTMIDDLE: 0 -> 04:31:36.829188 130902_ThAr.0028.ec.fits updated add 130902_ThAr.0031.ec.fits,UTMIDDLE = 0 130902_ThAr.0031.ec.fits updated 130902_ThAr.0031.ec.fits,UTMIDDLE: 0 -> 05:30:47.883715 130902_ThAr.0031.ec.fits updated add ThAr.0001.ec.fits,UTMIDDLE = 0 ThAr.0001.ec.fits updated ThAr.0001.ec.fits,UTMIDDLE: 0 -> 00:43:03.632206 ThAr.0001.ec.fits updated add ThAr.0002.ec.fits,UTMIDDLE = 0 ThAr.0002.ec.fits updated ThAr.0002.ec.fits,UTMIDDLE: 0 -> 00:46:05.772702 ThAr.0002.ec.fits updated add ThAr.0040.ec.fits,UTMIDDLE = 0 ThAr.0040.ec.fits updated ThAr.0040.ec.fits,UTMIDDLE: 0 -> 06:18:28.482174 ThAr.0040.ec.fits updated add ThAr.0044.ec.fits,UTMIDDLE = 0 ThAr.0044.ec.fits updated ThAr.0044.ec.fits,UTMIDDLE: 0 -> 07:32:06.020732 ThAr.0044.ec.fits updated add ThAr.0049.ec.fits,UTMIDDLE = 0 ThAr.0049.ec.fits updated ThAr.0049.ec.fits,UTMIDDLE: 0 -> 08:23:21.395238 ThAr.0049.ec.fits updated add ThAr.0053.ec.fits,UTMIDDLE = 0 ThAr.0053.ec.fits updated ThAr.0053.ec.fits,UTMIDDLE: 0 -> 09:29:50.303183 ThAr.0053.ec.fits updated add ThAr.0055.ec.fits,UTMIDDLE = 0 ThAr.0055.ec.fits updated ThAr.0055.ec.fits,UTMIDDLE: 0 -> 09:59:22.545183 ThAr.0055.ec.fits updated add 130902.0020.ec.fits,UTMIDDLE = 0 130902.0020.ec.fits updated 130902.0020.ec.fits,UTMIDDLE: 0 -> 02:18:03.884964 130902.0020.ec.fits updated add 130902.0022.ec.fits,UTMIDDLE = 0 130902.0022.ec.fits updated 130902.0022.ec.fits,UTMIDDLE: 0 -> 02:54:20.344788 130902.0022.ec.fits updated add 130902.0023.ec.fits,UTMIDDLE = 0 130902.0023.ec.fits updated 130902.0023.ec.fits,UTMIDDLE: 0 -> 03:19:24.442604 130902.0023.ec.fits updated add 130902.0025.ec.fits,UTMIDDLE = 0 130902.0025.ec.fits updated 130902.0025.ec.fits,UTMIDDLE: 0 -> 03:44:47.021960 130902.0025.ec.fits updated add 130902.0026.ec.fits,UTMIDDLE = 0 130902.0026.ec.fits updated 130902.0026.ec.fits,UTMIDDLE: 0 -> 04:05:45.313105 130902.0026.ec.fits updated add 130902.0027.ec.fits,UTMIDDLE = 0 130902.0027.ec.fits updated 130902.0027.ec.fits,UTMIDDLE: 0 -> 04:23:36.302703 130902.0027.ec.fits updated add 130902.0029.ec.fits,UTMIDDLE = 0 130902.0029.ec.fits updated 130902.0029.ec.fits,UTMIDDLE: 0 -> 04:47:40.468801 130902.0029.ec.fits updated add 130902.0030.ec.fits,UTMIDDLE = 0 130902.0030.ec.fits updated 130902.0030.ec.fits,UTMIDDLE: 0 -> 05:15:19.684795 130902.0030.ec.fits updated add 130902.0032.ec.fits,UTMIDDLE = 0 130902.0032.ec.fits updated 130902.0032.ec.fits,UTMIDDLE: 0 -> 05:46:53.667813 130902.0032.ec.fits updated add 130902.0041.ec.fits,UTMIDDLE = 0 130902.0041.ec.fits updated 130902.0041.ec.fits,UTMIDDLE: 0 -> 06:35:28.017006 130902.0041.ec.fits updated add 130902.0042.ec.fits,UTMIDDLE = 0 130902.0042.ec.fits updated 130902.0042.ec.fits,UTMIDDLE: 0 -> 06:50:00.156515 130902.0042.ec.fits updated add 130902.0043.ec.fits,UTMIDDLE = 0 130902.0043.ec.fits updated 130902.0043.ec.fits,UTMIDDLE: 0 -> 07:14:06.332968 130902.0043.ec.fits updated add 130902.0045.ec.fits,UTMIDDLE = 0 130902.0045.ec.fits updated 130902.0045.ec.fits,UTMIDDLE: 0 -> 07:41:27.657045 130902.0045.ec.fits updated add 130902.0046.ec.fits,UTMIDDLE = 0 130902.0046.ec.fits updated 130902.0046.ec.fits,UTMIDDLE: 0 -> 07:56:00.476049 130902.0046.ec.fits updated add 130902.0048.ec.fits,UTMIDDLE = 0 130902.0048.ec.fits updated 130902.0048.ec.fits,UTMIDDLE: 0 -> 08:12:50.689439 130902.0048.ec.fits updated add 130902.0050.ec.fits,UTMIDDLE = 0 130902.0050.ec.fits updated 130902.0050.ec.fits,UTMIDDLE: 0 -> 08:35:41.896156 130902.0050.ec.fits updated add 130902.0051.ec.fits,UTMIDDLE = 0 130902.0051.ec.fits updated 130902.0051.ec.fits,UTMIDDLE: 0 -> 08:55:38.814186 130902.0051.ec.fits updated add 130902.0052.ec.fits,UTMIDDLE = 0 130902.0052.ec.fits updated 130902.0052.ec.fits,UTMIDDLE: 0 -> 09:16:53.534074 130902.0052.ec.fits updated add 130902.0054.ec.fits,UTMIDDLE = 0 130902.0054.ec.fits updated 130902.0054.ec.fits,UTMIDDLE: 0 -> 09:44:30.240870 130902.0054.ec.fits updated add 130902.0056.ec.fits,UTMIDDLE = 0 130902.0056.ec.fits updated 130902.0056.ec.fits,UTMIDDLE: 0 -> 10:15:52.695855 130902.0056.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 130902.0020.ec.fits 2456537.59588 2456537.59838 2456537 130902.0022.ec.fits 2456537.62107 2456537.62328 2456537 130902.0023.ec.fits 2456537.63848 2456537.64054 2456537 130902.0025.ec.fits 2456537.65610 2456537.65838 2456537 130902.0026.ec.fits 2456537.67066 2456537.67287 2456537 130902.0027.ec.fits 2456537.68306 2456537.68516 2456537 130902.0029.ec.fits 2456537.69977 2456537.70151 2456537 130902.0030.ec.fits 2456537.71898 2456537.72123 2456537 130902.0032.ec.fits 2456537.74090 2456537.74331 2456537 130902.0041.ec.fits 2456537.77463 2456537.77766 2456537 130902.0042.ec.fits 2456537.78472 2456537.78775 2456537 130902.0043.ec.fits 2456537.80146 2456537.80403 2456537 130902.0045.ec.fits 2456537.82046 2456537.82349 2456537 130902.0046.ec.fits 2456537.83056 2456537.83359 2456537 130902.0048.ec.fits 2456537.84225 2456537.84528 2456537 130902.0050.ec.fits 2456537.85812 2456537.86115 2456537 130902.0051.ec.fits 2456537.87198 2456537.87501 2456537 130902.0052.ec.fits 2456537.88673 2456537.88976 2456537 130902.0054.ec.fits 2456537.90591 2456537.90893 2456537 130902.0056.ec.fits 2456537.92769 2456537.92939 2456537 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Mon 17:19:24 09-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS 130902_ThAr.0021.ec 1966/2055 1966/1966 4.03 -29.5 -5.2E-5 0.0111 130902_ThAr.0024.ec 1964/2055 1964/1964 3.93 -28.8 -5.1E-5 0.0102 130902_ThAr.0028.ec 1952/2055 1952/1952 3.67 -26.9 -4.8E-5 0.0109 130902_ThAr.0031.ec 1903/2055 1903/1903 3.47 -25.5 -4.5E-5 0.0111 ThAr.0001.ec 1956/2055 1956/1956 3.09 -22.7 -4.0E-5 0.0114 ThAr.0002.ec 1943/2055 1943/1943 3.13 -23. -4.1E-5 0.0113 ThAr.0040.ec 1899/2055 1899/1899 3.3 -24.2 -4.3E-5 0.011 ThAr.0044.ec 1902/2055 1902/1902 3.1 -22.7 -4.0E-5 0.0103 ThAr.0049.ec 1878/2055 1878/1878 2.97 -21.7 -3.8E-5 0.0108 ThAr.0053.ec 1918/2055 1918/1918 2.67 -19.5 -3.4E-5 0.0107 ThAr.0055.ec 1947/2055 1947/1947 2.59 -19. -3.3E-5 0.0099 [130902.0020.ec] refspec1='ThAr.0002.ec 0.1677061' [130902.0020.ec] refspec2='130902_ThAr.0021.ec 0.83229387' [130902.0022.ec] refspec1='130902_ThAr.0021.ec 0.6819303' [130902.0022.ec] refspec2='130902_ThAr.0024.ec 0.31806973' [130902.0023.ec] refspec1='130902_ThAr.0021.ec 0.23253846' [130902.0023.ec] refspec2='130902_ThAr.0024.ec 0.76746154' [130902.0025.ec] refspec1='130902_ThAr.0024.ec 0.79058439' [130902.0025.ec] refspec2='130902_ThAr.0028.ec 0.20941561' [130902.0026.ec] refspec1='130902_ThAr.0024.ec 0.43654397' [130902.0026.ec] refspec2='130902_ThAr.0028.ec 0.56345606' [130902.0027.ec] refspec1='130902_ThAr.0024.ec 0.13520384' [130902.0027.ec] refspec2='130902_ThAr.0028.ec 0.86479616' [130902.0029.ec] refspec1='130902_ThAr.0028.ec 0.72863281' [130902.0029.ec] refspec2='130902_ThAr.0031.ec 0.27136716' [130902.0030.ec] refspec1='130902_ThAr.0028.ec 0.26138684' [130902.0030.ec] refspec2='130902_ThAr.0031.ec 0.73861319' [130902.0032.ec] refspec1='130902_ThAr.0031.ec 0.66238391' [130902.0032.ec] refspec2='ThAr.0040.ec 0.33761612' [130902.0041.ec] refspec1='ThAr.0040.ec 0.76920748' [130902.0041.ec] refspec2='ThAr.0044.ec 0.23079251' [130902.0042.ec] refspec1='ThAr.0040.ec 0.57178092' [130902.0042.ec] refspec2='ThAr.0044.ec 0.42821908' [130902.0043.ec] refspec1='ThAr.0040.ec 0.24440935' [130902.0043.ec] refspec2='ThAr.0044.ec 0.75559062' [130902.0045.ec] refspec1='ThAr.0044.ec 0.81737632' [130902.0045.ec] refspec2='ThAr.0049.ec 0.18262371' [130902.0046.ec] refspec1='ThAr.0044.ec 0.53356725' [130902.0046.ec] refspec2='ThAr.0049.ec 0.46643272' [130902.0048.ec] refspec1='ThAr.0044.ec 0.2050826' [130902.0048.ec] refspec2='ThAr.0049.ec 0.7949174' [130902.0050.ec] refspec1='ThAr.0049.ec 0.81435996' [130902.0050.ec] refspec2='ThAr.0053.ec 0.18564001' [130902.0051.ec] refspec1='ThAr.0049.ec 0.51429838' [130902.0051.ec] refspec2='ThAr.0053.ec 0.48570159' [130902.0052.ec] refspec1='ThAr.0049.ec 0.19473228' [130902.0052.ec] refspec2='ThAr.0053.ec 0.80526775' [130902.0054.ec] refspec1='ThAr.0053.ec 0.50348896' [130902.0054.ec] refspec2='ThAr.0055.ec 0.49651101' [130902.0056.ec] refspec1='ThAr.0055.ec' [130902_ThAr.0021.ec] refspec1='130902_ThAr.0021.ec' [130902_ThAr.0024.ec] refspec1='130902_ThAr.0024.ec' [130902_ThAr.0028.ec] refspec1='130902_ThAr.0028.ec' [130902_ThAr.0031.ec] refspec1='130902_ThAr.0031.ec' [ThAr.0001.ec] refspec1='ThAr.0001.ec' [ThAr.0002.ec] refspec1='ThAr.0002.ec' [ThAr.0040.ec] refspec1='ThAr.0040.ec' [ThAr.0044.ec] refspec1='ThAr.0044.ec' [ThAr.0049.ec] refspec1='ThAr.0049.ec' [ThAr.0053.ec] refspec1='ThAr.0053.ec' [ThAr.0055.ec] refspec1='ThAr.0055.ec' 130902.0020.ec.fits: REFSPEC1 = 'ThAr.0002.ec 0.1677061' 130902.0020.ec.fits: REFSPEC2 = '130902_ThAr.0021.ec 0.83229387' 130902.0020.ec.fits: ap = 1, w1 = 10812.27, w2 = 10584.08, dw = -0.1383, nw = 1651 130902.0020.ec.fits: ap = 2, w1 = 10612.05, w2 = 10388.1, dw = -0.13573, nw = 1651 130902.0020.ec.fits: ap = 3, w1 = 10419.12, w2 = 10199.24, dw = -0.13326, nw = 1651 130902.0020.ec.fits: ap = 4, w1 = 10233.08, w2 = 10017.13, dw = -0.13088, nw = 1651 130902.0020.ec.fits: ap = 5, w1 = 10053.56, w2 = 9841.414, dw = -0.12858, nw = 1651 130902.0020.ec.fits: ap = 6, w1 = 9880.24, w2 = 9671.753, dw = -0.12636, nw = 1651 130902.0020.ec.fits: ap = 7, w1 = 9712.791, w2 = 9507.843, dw = -0.12421, nw = 1651 130902.0020.ec.fits: ap = 8, w1 = 9550.924, w2 = 9349.397, dw = -0.12214, nw = 1651 130902.0020.ec.fits: ap = 9, w1 = 9394.364, w2 = 9196.145, dw = -0.12013, nw = 1651 130902.0020.ec.fits: ap = 10, w1 = 9242.854, w2 = 9047.836, dw = -0.11819, nw = 1651 130902.0020.ec.fits: ap = 11, w1 = 9096.154, w2 = 8904.236, dw = -0.11631, nw = 1651 130902.0020.ec.fits: ap = 12, w1 = 8954.039, w2 = 8765.123, dw = -0.11449, nw = 1651 130902.0020.ec.fits: ap = 13, w1 = 8816.296, w2 = 8630.29, dw = -0.11273, nw = 1651 130902.0020.ec.fits: ap = 14, w1 = 8682.728, w2 = 8499.543, dw = -0.11102, nw = 1651 130902.0020.ec.fits: ap = 15, w1 = 8553.146, w2 = 8372.699, dw = -0.10936, nw = 1651 130902.0020.ec.fits: ap = 16, w1 = 8427.376, w2 = 8249.585, dw = -0.10775, nw = 1651 130902.0020.ec.fits: ap = 17, w1 = 8305.251, w2 = 8130.04, dw = -0.10619, nw = 1651 130902.0020.ec.fits: ap = 18, w1 = 8186.615, w2 = 8013.91, dw = -0.10467, nw = 1651 130902.0020.ec.fits: ap = 19, w1 = 8071.322, w2 = 7901.051, dw = -0.10319, nw = 1651 130902.0020.ec.fits: ap = 20, w1 = 7959.231, w2 = 7791.327, dw = -0.10176, nw = 1651 130902.0020.ec.fits: ap = 21, w1 = 7850.211, w2 = 7684.61, dw = -0.10036, nw = 1651 130902.0020.ec.fits: ap = 22, w1 = 7744.137, w2 = 7580.776, dw = -0.09901, nw = 1651 130902.0020.ec.fits: ap = 23, w1 = 7640.892, w2 = 7479.712, dw = -0.09769, nw = 1651 130902.0020.ec.fits: ap = 24, w1 = 7540.364, w2 = 7381.307, dw = -0.0964, nw = 1651 130902.0020.ec.fits: ap = 25, w1 = 7442.448, w2 = 7285.458, dw = -0.09515, nw = 1651 130902.0020.ec.fits: ap = 26, w1 = 7347.042, w2 = 7192.066, dw = -0.09392, nw = 1651 130902.0020.ec.fits: ap = 27, w1 = 7254.051, w2 = 7101.039, dw = -0.09273, nw = 1651 130902.0020.ec.fits: ap = 28, w1 = 7163.385, w2 = 7012.288, dw = -0.09157, nw = 1651 130902.0020.ec.fits: ap = 29, w1 = 7074.958, w2 = 6925.728, dw = -0.09044, nw = 1651 130902.0020.ec.fits: ap = 30, w1 = 6988.687, w2 = 6841.279, dw = -0.08934, nw = 1651 130902.0020.ec.fits: ap = 31, w1 = 6904.496, w2 = 6758.865, dw = -0.08826, nw = 1651 130902.0020.ec.fits: ap = 32, w1 = 6822.309, w2 = 6678.413, dw = -0.08721, nw = 1651 130902.0020.ec.fits: ap = 33, w1 = 6742.055, w2 = 6599.855, dw = -0.08618, nw = 1651 130902.0020.ec.fits: ap = 34, w1 = 6663.669, w2 = 6523.123, dw = -0.08518, nw = 1651 130902.0020.ec.fits: ap = 35, w1 = 6587.084, w2 = 6448.155, dw = -0.0842, nw = 1651 130902.0020.ec.fits: ap = 36, w1 = 6512.24, w2 = 6374.891, dw = -0.08324, nw = 1651 130902.0020.ec.fits: ap = 37, w1 = 6439.077, w2 = 6303.274, dw = -0.08231, nw = 1651 130902.0020.ec.fits: ap = 38, w1 = 6367.541, w2 = 6233.248, dw = -0.08139, nw = 1651 130902.0020.ec.fits: ap = 39, w1 = 6297.577, w2 = 6164.761, dw = -0.08049, nw = 1651 130902.0020.ec.fits: ap = 40, w1 = 6229.134, w2 = 6097.763, dw = -0.07962, nw = 1651 130902.0020.ec.fits: ap = 41, w1 = 6162.162, w2 = 6032.206, dw = -0.07876, nw = 1651 130902.0020.ec.fits: ap = 42, w1 = 6096.616, w2 = 5968.044, dw = -0.07792, nw = 1651 130902.0020.ec.fits: ap = 43, w1 = 6032.45, w2 = 5905.233, dw = -0.0771, nw = 1651 130902.0020.ec.fits: ap = 44, w1 = 5969.62, w2 = 5843.73, dw = -0.0763, nw = 1651 130902.0020.ec.fits: ap = 45, w1 = 5908.086, w2 = 5783.496, dw = -0.07551, nw = 1651 130902.0020.ec.fits: ap = 46, w1 = 5847.808, w2 = 5724.491, dw = -0.07474, nw = 1651 130902.0020.ec.fits: ap = 47, w1 = 5788.748, w2 = 5666.678, dw = -0.07398, nw = 1651 130902.0020.ec.fits: ap = 48, w1 = 5730.869, w2 = 5610.021, dw = -0.07324, nw = 1651 130902.0020.ec.fits: ap = 49, w1 = 5674.136, w2 = 5554.486, dw = -0.07251, nw = 1651 130902.0020.ec.fits: ap = 50, w1 = 5618.515, w2 = 5500.041, dw = -0.0718, nw = 1651 130902.0020.ec.fits: ap = 51, w1 = 5563.975, w2 = 5446.652, dw = -0.0711, nw = 1651 130902.0020.ec.fits: ap = 52, w1 = 5510.483, w2 = 5394.29, dw = -0.07042, nw = 1651 130902.0020.ec.fits: ap = 53, w1 = 5458.011, w2 = 5342.926, dw = -0.06975, nw = 1651 130902.0020.ec.fits: ap = 54, w1 = 5406.528, w2 = 5292.531, dw = -0.06909, nw = 1651 130902.0020.ec.fits: ap = 55, w1 = 5356.008, w2 = 5243.078, dw = -0.06844, nw = 1651 130902.0020.ec.fits: ap = 56, w1 = 5306.423, w2 = 5194.541, dw = -0.06781, nw = 1651 130902.0020.ec.fits: ap = 57, w1 = 5257.749, w2 = 5146.895, dw = -0.06718, nw = 1651 130902.0020.ec.fits: ap = 58, w1 = 5209.959, w2 = 5100.115, dw = -0.06657, nw = 1651 130902.0020.ec.fits: ap = 59, w1 = 5163.031, w2 = 5054.178, dw = -0.06597, nw = 1651 130902.0020.ec.fits: ap = 60, w1 = 5116.94, w2 = 5009.061, dw = -0.06538, nw = 1651 130902.0020.ec.fits: ap = 61, w1 = 5071.666, w2 = 4964.743, dw = -0.0648, nw = 1651 130902.0020.ec.fits: ap = 62, w1 = 5027.185, w2 = 4921.202, dw = -0.06423, nw = 1651 130902.0020.ec.fits: ap = 63, w1 = 4983.479, w2 = 4878.419, dw = -0.06367, nw = 1651 130902.0020.ec.fits: ap = 64, w1 = 4940.526, w2 = 4836.374, dw = -0.06312, nw = 1651 130902.0020.ec.fits: ap = 65, w1 = 4898.307, w2 = 4795.047, dw = -0.06258, nw = 1651 130902.0020.ec.fits: ap = 66, w1 = 4856.804, w2 = 4754.421, dw = -0.06205, nw = 1651 130902.0020.ec.fits: ap = 67, w1 = 4815.998, w2 = 4714.478, dw = -0.06153, nw = 1651 130902.0020.ec.fits: ap = 68, w1 = 4775.873, w2 = 4675.2, dw = -0.06101, nw = 1651 130902.0020.ec.fits: ap = 69, w1 = 4736.411, w2 = 4636.572, dw = -0.06051, nw = 1651 130902.0020.ec.fits: ap = 70, w1 = 4697.596, w2 = 4598.577, dw = -0.06001, nw = 1651 130902.0020.ec.fits: ap = 71, w1 = 4659.412, w2 = 4561.2, dw = -0.05952, nw = 1651 130902.0020.ec.fits: ap = 72, w1 = 4621.844, w2 = 4524.426, dw = -0.05904, nw = 1651 130902.0020.ec.fits: ap = 73, w1 = 4584.878, w2 = 4488.241, dw = -0.05857, nw = 1651 130902.0020.ec.fits: ap = 74, w1 = 4548.498, w2 = 4452.63, dw = -0.0581, nw = 1651 130902.0020.ec.fits: ap = 75, w1 = 4512.691, w2 = 4417.579, dw = -0.05764, nw = 1651 130902.0020.ec.fits: ap = 76, w1 = 4477.444, w2 = 4383.077, dw = -0.05719, nw = 1651 130902.0020.ec.fits: ap = 77, w1 = 4442.743, w2 = 4349.109, dw = -0.05675, nw = 1651 130902.0020.ec.fits: ap = 78, w1 = 4408.576, w2 = 4315.664, dw = -0.05631, nw = 1651 130902.0020.ec.fits: ap = 79, w1 = 4374.931, w2 = 4282.73, dw = -0.05588, nw = 1651 130902.0020.ec.fits: ap = 80, w1 = 4341.796, w2 = 4250.295, dw = -0.05546, nw = 1651 130902.0020.ec.fits: ap = 81, w1 = 4309.159, w2 = 4218.348, dw = -0.05504, nw = 1651 130902.0020.ec.fits: ap = 82, w1 = 4277.009, w2 = 4186.877, dw = -0.05463, nw = 1651 130902.0020.ec.fits: ap = 83, w1 = 4245.336, w2 = 4155.873, dw = -0.05422, nw = 1651 130902.0020.ec.fits: ap = 84, w1 = 4214.129, w2 = 4125.325, dw = -0.05382, nw = 1651 130902.0020.ec.fits: ap = 85, w1 = 4183.377, w2 = 4095.223, dw = -0.05343, nw = 1651 130902.0020.ec.fits: ap = 86, w1 = 4153.071, w2 = 4065.557, dw = -0.05304, nw = 1651 130902.0020.ec.fits: ap = 87, w1 = 4123.201, w2 = 4036.318, dw = -0.05266, nw = 1651 130902.0020.ec.fits: ap = 88, w1 = 4093.758, w2 = 4007.497, dw = -0.05228, nw = 1651 130902.0020.ec.fits: ap = 89, w1 = 4064.733, w2 = 3979.084, dw = -0.05191, nw = 1651 130902.0020.ec.fits: ap = 90, w1 = 4036.117, w2 = 3951.072, dw = -0.05154, nw = 1651 130902.0020.ec.fits: ap = 91, w1 = 4007.901, w2 = 3923.452, dw = -0.05118, nw = 1651 130902.0020.ec.fits: ap = 92, w1 = 3980.077, w2 = 3896.215, dw = -0.05083, nw = 1651 130902.0020.ec.fits: ap = 93, w1 = 3952.636, w2 = 3869.354, dw = -0.05047, nw = 1651 130902.0020.ec.fits: ap = 94, w1 = 3925.572, w2 = 3842.861, dw = -0.05013, nw = 1651 130902.0020.ec.fits: ap = 95, w1 = 3898.876, w2 = 3816.729, dw = -0.04979, nw = 1651 130902.0020.ec.fits: ap = 96, w1 = 3872.541, w2 = 3790.949, dw = -0.04945, nw = 1651 130902.0020.ec.fits: ap = 97, w1 = 3846.56, w2 = 3765.516, dw = -0.04912, nw = 1651 130902.0020.ec.fits: ap = 98, w1 = 3820.925, w2 = 3740.422, dw = -0.04879, nw = 1651 130902.0020.ec.fits: ap = 99, w1 = 3795.63, w2 = 3715.66, dw = -0.04847, nw = 1651 130902.0020.ec.fits: ap = 100, w1 = 3770.668, w2 = 3691.224, dw = -0.04815, nw = 1651 130902.0020.ec.fits: ap = 101, w1 = 3746.032, w2 = 3667.107, dw = -0.04783, nw = 1651 130902.0020.ec.fits: ap = 102, w1 = 3721.716, w2 = 3643.304, dw = -0.04752, nw = 1651 130902.0020.ec.fits: ap = 103, w1 = 3697.714, w2 = 3619.808, dw = -0.04722, nw = 1651 130902.0020.ec.fits: ap = 104, w1 = 3674.02, w2 = 3596.613, dw = -0.04691, nw = 1651 130902.0020.ec.fits: ap = 105, w1 = 3650.628, w2 = 3573.713, dw = -0.04662, nw = 1651 130902.0020.ec.fits: ap = 106, w1 = 3627.532, w2 = 3551.104, dw = -0.04632, nw = 1651 130902.0020.ec.fits: ap = 107, w1 = 3604.727, w2 = 3528.778, dw = -0.04603, nw = 1651 130902.0020.ec.fits: ap = 108, w1 = 3582.207, w2 = 3506.732, dw = -0.04574, nw = 1651 130902.0020.ec.fits: ap = 109, w1 = 3559.967, w2 = 3484.96, dw = -0.04546, nw = 1651 130902.0020.ec.fits: ap = 110, w1 = 3538.001, w2 = 3463.456, dw = -0.04518, nw = 1651 130902.0020.ec.fits: ap = 111, w1 = 3516.305, w2 = 3442.217, dw = -0.0449, nw = 1651 130902.0020.ec.fits: ap = 112, w1 = 3494.874, w2 = 3421.236, dw = -0.04463, nw = 1651 130902.0020.ec.fits: ap = 113, w1 = 3473.703, w2 = 3400.509, dw = -0.04436, nw = 1651 130902.0020.ec.fits: ap = 114, w1 = 3452.787, w2 = 3380.032, dw = -0.04409, nw = 1651 130902.0020.ec.fits: ap = 115, w1 = 3432.122, w2 = 3359.801, dw = -0.04383, nw = 1651 130902.0022.ec.fits: REFSPEC1 = '130902_ThAr.0021.ec 0.6819303' 130902.0022.ec.fits: REFSPEC2 = '130902_ThAr.0024.ec 0.31806973' 130902.0022.ec.fits: ap = 1, w1 = 10812.28, w2 = 10584.09, dw = -0.1383, nw = 1651 130902.0022.ec.fits: ap = 2, w1 = 10612.07, w2 = 10388.11, dw = -0.13573, nw = 1651 130902.0022.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.26, dw = -0.13326, nw = 1651 130902.0022.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.15, dw = -0.13088, nw = 1651 130902.0022.ec.fits: ap = 5, w1 = 10053.58, w2 = 9841.429, dw = -0.12858, nw = 1651 130902.0022.ec.fits: ap = 6, w1 = 9880.258, w2 = 9671.768, dw = -0.12636, nw = 1651 130902.0022.ec.fits: ap = 7, w1 = 9712.81, w2 = 9507.858, dw = -0.12421, nw = 1651 130902.0022.ec.fits: ap = 8, w1 = 9550.943, w2 = 9349.411, dw = -0.12214, nw = 1651 130902.0022.ec.fits: ap = 9, w1 = 9394.383, w2 = 9196.159, dw = -0.12014, nw = 1651 130902.0022.ec.fits: ap = 10, w1 = 9242.874, w2 = 9047.85, dw = -0.1182, nw = 1651 130902.0022.ec.fits: ap = 11, w1 = 9096.174, w2 = 8904.249, dw = -0.11632, nw = 1651 130902.0022.ec.fits: ap = 12, w1 = 8954.058, w2 = 8765.136, dw = -0.1145, nw = 1651 130902.0022.ec.fits: ap = 13, w1 = 8816.316, w2 = 8630.304, dw = -0.11273, nw = 1651 130902.0022.ec.fits: ap = 14, w1 = 8682.747, w2 = 8499.556, dw = -0.11102, nw = 1651 130902.0022.ec.fits: ap = 15, w1 = 8553.165, w2 = 8372.711, dw = -0.10937, nw = 1651 130902.0022.ec.fits: ap = 16, w1 = 8427.394, w2 = 8249.597, dw = -0.10776, nw = 1651 130902.0022.ec.fits: ap = 17, w1 = 8305.269, w2 = 8130.051, dw = -0.10619, nw = 1651 130902.0022.ec.fits: ap = 18, w1 = 8186.633, w2 = 8013.921, dw = -0.10467, nw = 1651 130902.0022.ec.fits: ap = 19, w1 = 8071.339, w2 = 7901.062, dw = -0.1032, nw = 1651 130902.0022.ec.fits: ap = 20, w1 = 7959.247, w2 = 7791.337, dw = -0.10176, nw = 1651 130902.0022.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.62, dw = -0.10037, nw = 1651 130902.0022.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.786, dw = -0.09901, nw = 1651 130902.0022.ec.fits: ap = 23, w1 = 7640.908, w2 = 7479.721, dw = -0.09769, nw = 1651 130902.0022.ec.fits: ap = 24, w1 = 7540.38, w2 = 7381.316, dw = -0.0964, nw = 1651 130902.0022.ec.fits: ap = 25, w1 = 7442.463, w2 = 7285.467, dw = -0.09515, nw = 1651 130902.0022.ec.fits: ap = 26, w1 = 7347.056, w2 = 7192.075, dw = -0.09393, nw = 1651 130902.0022.ec.fits: ap = 27, w1 = 7254.065, w2 = 7101.048, dw = -0.09274, nw = 1651 130902.0022.ec.fits: ap = 28, w1 = 7163.399, w2 = 7012.296, dw = -0.09158, nw = 1651 130902.0022.ec.fits: ap = 29, w1 = 7074.971, w2 = 6925.736, dw = -0.09045, nw = 1651 130902.0022.ec.fits: ap = 30, w1 = 6988.7, w2 = 6841.287, dw = -0.08934, nw = 1651 130902.0022.ec.fits: ap = 31, w1 = 6904.508, w2 = 6758.872, dw = -0.08826, nw = 1651 130902.0022.ec.fits: ap = 32, w1 = 6822.321, w2 = 6678.421, dw = -0.08721, nw = 1651 130902.0022.ec.fits: ap = 33, w1 = 6742.068, w2 = 6599.862, dw = -0.08619, nw = 1651 130902.0022.ec.fits: ap = 34, w1 = 6663.68, w2 = 6523.13, dw = -0.08518, nw = 1651 130902.0022.ec.fits: ap = 35, w1 = 6587.095, w2 = 6448.162, dw = -0.0842, nw = 1651 130902.0022.ec.fits: ap = 36, w1 = 6512.251, w2 = 6374.898, dw = -0.08324, nw = 1651 130902.0022.ec.fits: ap = 37, w1 = 6439.088, w2 = 6303.281, dw = -0.08231, nw = 1651 130902.0022.ec.fits: ap = 38, w1 = 6367.552, w2 = 6233.255, dw = -0.08139, nw = 1651 130902.0022.ec.fits: ap = 39, w1 = 6297.587, w2 = 6164.768, dw = -0.0805, nw = 1651 130902.0022.ec.fits: ap = 40, w1 = 6229.144, w2 = 6097.77, dw = -0.07962, nw = 1651 130902.0022.ec.fits: ap = 41, w1 = 6162.172, w2 = 6032.213, dw = -0.07876, nw = 1651 130902.0022.ec.fits: ap = 42, w1 = 6096.626, w2 = 5968.051, dw = -0.07792, nw = 1651 130902.0022.ec.fits: ap = 43, w1 = 6032.459, w2 = 5905.239, dw = -0.0771, nw = 1651 130902.0022.ec.fits: ap = 44, w1 = 5969.63, w2 = 5843.737, dw = -0.0763, nw = 1651 130902.0022.ec.fits: ap = 45, w1 = 5908.096, w2 = 5783.502, dw = -0.07551, nw = 1651 130902.0022.ec.fits: ap = 46, w1 = 5847.817, w2 = 5724.497, dw = -0.07474, nw = 1651 130902.0022.ec.fits: ap = 47, w1 = 5788.757, w2 = 5666.684, dw = -0.07398, nw = 1651 130902.0022.ec.fits: ap = 48, w1 = 5730.878, w2 = 5610.027, dw = -0.07324, nw = 1651 130902.0022.ec.fits: ap = 49, w1 = 5674.145, w2 = 5554.493, dw = -0.07252, nw = 1651 130902.0022.ec.fits: ap = 50, w1 = 5618.524, w2 = 5500.047, dw = -0.0718, nw = 1651 130902.0022.ec.fits: ap = 51, w1 = 5563.983, w2 = 5446.659, dw = -0.07111, nw = 1651 130902.0022.ec.fits: ap = 52, w1 = 5510.492, w2 = 5394.297, dw = -0.07042, nw = 1651 130902.0022.ec.fits: ap = 53, w1 = 5458.019, w2 = 5342.933, dw = -0.06975, nw = 1651 130902.0022.ec.fits: ap = 54, w1 = 5406.537, w2 = 5292.538, dw = -0.06909, nw = 1651 130902.0022.ec.fits: ap = 55, w1 = 5356.016, w2 = 5243.085, dw = -0.06844, nw = 1651 130902.0022.ec.fits: ap = 56, w1 = 5306.432, w2 = 5194.548, dw = -0.06781, nw = 1651 130902.0022.ec.fits: ap = 57, w1 = 5257.757, w2 = 5146.902, dw = -0.06719, nw = 1651 130902.0022.ec.fits: ap = 58, w1 = 5209.967, w2 = 5100.122, dw = -0.06657, nw = 1651 130902.0022.ec.fits: ap = 59, w1 = 5163.039, w2 = 5054.185, dw = -0.06597, nw = 1651 130902.0022.ec.fits: ap = 60, w1 = 5116.948, w2 = 5009.068, dw = -0.06538, nw = 1651 130902.0022.ec.fits: ap = 61, w1 = 5071.673, w2 = 4964.75, dw = -0.0648, nw = 1651 130902.0022.ec.fits: ap = 62, w1 = 5027.193, w2 = 4921.209, dw = -0.06423, nw = 1651 130902.0022.ec.fits: ap = 63, w1 = 4983.486, w2 = 4878.426, dw = -0.06367, nw = 1651 130902.0022.ec.fits: ap = 64, w1 = 4940.533, w2 = 4836.381, dw = -0.06312, nw = 1651 130902.0022.ec.fits: ap = 65, w1 = 4898.314, w2 = 4795.054, dw = -0.06258, nw = 1651 130902.0022.ec.fits: ap = 66, w1 = 4856.811, w2 = 4754.428, dw = -0.06205, nw = 1651 130902.0022.ec.fits: ap = 67, w1 = 4816.005, w2 = 4714.485, dw = -0.06153, nw = 1651 130902.0022.ec.fits: ap = 68, w1 = 4775.88, w2 = 4675.207, dw = -0.06101, nw = 1651 130902.0022.ec.fits: ap = 69, w1 = 4736.417, w2 = 4636.579, dw = -0.06051, nw = 1651 130902.0022.ec.fits: ap = 70, w1 = 4697.602, w2 = 4598.584, dw = -0.06001, nw = 1651 130902.0022.ec.fits: ap = 71, w1 = 4659.418, w2 = 4561.207, dw = -0.05952, nw = 1651 130902.0022.ec.fits: ap = 72, w1 = 4621.85, w2 = 4524.432, dw = -0.05904, nw = 1651 130902.0022.ec.fits: ap = 73, w1 = 4584.882, w2 = 4488.247, dw = -0.05857, nw = 1651 130902.0022.ec.fits: ap = 74, w1 = 4548.502, w2 = 4452.635, dw = -0.0581, nw = 1651 130902.0022.ec.fits: ap = 75, w1 = 4512.695, w2 = 4417.585, dw = -0.05764, nw = 1651 130902.0022.ec.fits: ap = 76, w1 = 4477.447, w2 = 4383.082, dw = -0.05719, nw = 1651 130902.0022.ec.fits: ap = 77, w1 = 4442.746, w2 = 4349.114, dw = -0.05675, nw = 1651 130902.0022.ec.fits: ap = 78, w1 = 4408.578, w2 = 4315.669, dw = -0.05631, nw = 1651 130902.0022.ec.fits: ap = 79, w1 = 4374.932, w2 = 4282.734, dw = -0.05588, nw = 1651 130902.0022.ec.fits: ap = 80, w1 = 4341.796, w2 = 4250.298, dw = -0.05545, nw = 1651 130902.0022.ec.fits: ap = 81, w1 = 4309.159, w2 = 4218.351, dw = -0.05504, nw = 1651 130902.0022.ec.fits: ap = 82, w1 = 4277.008, w2 = 4186.879, dw = -0.05462, nw = 1651 130902.0022.ec.fits: ap = 83, w1 = 4245.334, w2 = 4155.875, dw = -0.05422, nw = 1651 130902.0022.ec.fits: ap = 84, w1 = 4214.125, w2 = 4125.326, dw = -0.05382, nw = 1651 130902.0022.ec.fits: ap = 85, w1 = 4183.373, w2 = 4095.223, dw = -0.05342, nw = 1651 130902.0022.ec.fits: ap = 86, w1 = 4153.065, w2 = 4065.556, dw = -0.05304, nw = 1651 130902.0022.ec.fits: ap = 87, w1 = 4123.194, w2 = 4036.316, dw = -0.05265, nw = 1651 130902.0022.ec.fits: ap = 88, w1 = 4093.75, w2 = 4007.494, dw = -0.05228, nw = 1651 130902.0022.ec.fits: ap = 89, w1 = 4064.723, w2 = 3979.081, dw = -0.0519, nw = 1651 130902.0022.ec.fits: ap = 90, w1 = 4036.105, w2 = 3951.068, dw = -0.05154, nw = 1651 130902.0022.ec.fits: ap = 91, w1 = 4007.888, w2 = 3923.446, dw = -0.05118, nw = 1651 130902.0022.ec.fits: ap = 92, w1 = 3980.062, w2 = 3896.208, dw = -0.05082, nw = 1651 130902.0022.ec.fits: ap = 93, w1 = 3952.62, w2 = 3869.346, dw = -0.05047, nw = 1651 130902.0022.ec.fits: ap = 94, w1 = 3925.554, w2 = 3842.852, dw = -0.05012, nw = 1651 130902.0022.ec.fits: ap = 95, w1 = 3898.856, w2 = 3816.718, dw = -0.04978, nw = 1651 130902.0022.ec.fits: ap = 96, w1 = 3872.519, w2 = 3790.937, dw = -0.04944, nw = 1651 130902.0022.ec.fits: ap = 97, w1 = 3846.535, w2 = 3765.502, dw = -0.04911, nw = 1651 130902.0022.ec.fits: ap = 98, w1 = 3820.898, w2 = 3740.406, dw = -0.04878, nw = 1651 130902.0022.ec.fits: ap = 99, w1 = 3795.6, w2 = 3715.643, dw = -0.04846, nw = 1651 130902.0022.ec.fits: ap = 100, w1 = 3770.636, w2 = 3691.205, dw = -0.04814, nw = 1651 130902.0022.ec.fits: ap = 101, w1 = 3745.997, w2 = 3667.087, dw = -0.04782, nw = 1651 130902.0022.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.281, dw = -0.04751, nw = 1651 130902.0022.ec.fits: ap = 103, w1 = 3697.674, w2 = 3619.783, dw = -0.04721, nw = 1651 130902.0022.ec.fits: ap = 104, w1 = 3673.977, w2 = 3596.586, dw = -0.0469, nw = 1651 130902.0022.ec.fits: ap = 105, w1 = 3650.582, w2 = 3573.685, dw = -0.0466, nw = 1651 130902.0022.ec.fits: ap = 106, w1 = 3627.483, w2 = 3551.073, dw = -0.04631, nw = 1651 130902.0022.ec.fits: ap = 107, w1 = 3604.674, w2 = 3528.745, dw = -0.04602, nw = 1651 130902.0022.ec.fits: ap = 108, w1 = 3582.151, w2 = 3506.696, dw = -0.04573, nw = 1651 130902.0022.ec.fits: ap = 109, w1 = 3559.907, w2 = 3484.922, dw = -0.04545, nw = 1651 130902.0022.ec.fits: ap = 110, w1 = 3537.937, w2 = 3463.415, dw = -0.04517, nw = 1651 130902.0022.ec.fits: ap = 111, w1 = 3516.237, w2 = 3442.172, dw = -0.04489, nw = 1651 130902.0022.ec.fits: ap = 112, w1 = 3494.802, w2 = 3421.188, dw = -0.04461, nw = 1651 130902.0022.ec.fits: ap = 113, w1 = 3473.626, w2 = 3400.459, dw = -0.04434, nw = 1651 130902.0022.ec.fits: ap = 114, w1 = 3452.706, w2 = 3379.979, dw = -0.04408, nw = 1651 130902.0022.ec.fits: ap = 115, w1 = 3432.036, w2 = 3359.744, dw = -0.04381, nw = 1651 130902.0023.ec.fits: REFSPEC1 = '130902_ThAr.0021.ec 0.23253846' 130902.0023.ec.fits: REFSPEC2 = '130902_ThAr.0024.ec 0.76746154' 130902.0023.ec.fits: ap = 1, w1 = 10812.25, w2 = 10584.09, dw = -0.13828, nw = 1651 130902.0023.ec.fits: ap = 2, w1 = 10612.05, w2 = 10388.11, dw = -0.13572, nw = 1651 130902.0023.ec.fits: ap = 3, w1 = 10419.12, w2 = 10199.25, dw = -0.13325, nw = 1651 130902.0023.ec.fits: ap = 4, w1 = 10233.08, w2 = 10017.15, dw = -0.13087, nw = 1651 130902.0023.ec.fits: ap = 5, w1 = 10053.57, w2 = 9841.426, dw = -0.12857, nw = 1651 130902.0023.ec.fits: ap = 6, w1 = 9880.252, w2 = 9671.766, dw = -0.12635, nw = 1651 130902.0023.ec.fits: ap = 7, w1 = 9712.806, w2 = 9507.856, dw = -0.12421, nw = 1651 130902.0023.ec.fits: ap = 8, w1 = 9550.941, w2 = 9349.409, dw = -0.12214, nw = 1651 130902.0023.ec.fits: ap = 9, w1 = 9394.383, w2 = 9196.157, dw = -0.12014, nw = 1651 130902.0023.ec.fits: ap = 10, w1 = 9242.875, w2 = 9047.849, dw = -0.1182, nw = 1651 130902.0023.ec.fits: ap = 11, w1 = 9096.176, w2 = 8904.248, dw = -0.11632, nw = 1651 130902.0023.ec.fits: ap = 12, w1 = 8954.061, w2 = 8765.135, dw = -0.1145, nw = 1651 130902.0023.ec.fits: ap = 13, w1 = 8816.319, w2 = 8630.301, dw = -0.11274, nw = 1651 130902.0023.ec.fits: ap = 14, w1 = 8682.751, w2 = 8499.554, dw = -0.11103, nw = 1651 130902.0023.ec.fits: ap = 15, w1 = 8553.169, w2 = 8372.709, dw = -0.10937, nw = 1651 130902.0023.ec.fits: ap = 16, w1 = 8427.399, w2 = 8249.594, dw = -0.10776, nw = 1651 130902.0023.ec.fits: ap = 17, w1 = 8305.274, w2 = 8130.048, dw = -0.1062, nw = 1651 130902.0023.ec.fits: ap = 18, w1 = 8186.638, w2 = 8013.918, dw = -0.10468, nw = 1651 130902.0023.ec.fits: ap = 19, w1 = 8071.343, w2 = 7901.058, dw = -0.1032, nw = 1651 130902.0023.ec.fits: ap = 20, w1 = 7959.252, w2 = 7791.334, dw = -0.10177, nw = 1651 130902.0023.ec.fits: ap = 21, w1 = 7850.231, w2 = 7684.615, dw = -0.10037, nw = 1651 130902.0023.ec.fits: ap = 22, w1 = 7744.157, w2 = 7580.781, dw = -0.09902, nw = 1651 130902.0023.ec.fits: ap = 23, w1 = 7640.911, w2 = 7479.716, dw = -0.09769, nw = 1651 130902.0023.ec.fits: ap = 24, w1 = 7540.382, w2 = 7381.31, dw = -0.09641, nw = 1651 130902.0023.ec.fits: ap = 25, w1 = 7442.465, w2 = 7285.46, dw = -0.09515, nw = 1651 130902.0023.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.068, dw = -0.09393, nw = 1651 130902.0023.ec.fits: ap = 27, w1 = 7254.066, w2 = 7101.041, dw = -0.09274, nw = 1651 130902.0023.ec.fits: ap = 28, w1 = 7163.399, w2 = 7012.289, dw = -0.09158, nw = 1651 130902.0023.ec.fits: ap = 29, w1 = 7074.971, w2 = 6925.728, dw = -0.09045, nw = 1651 130902.0023.ec.fits: ap = 30, w1 = 6988.7, w2 = 6841.279, dw = -0.08935, nw = 1651 130902.0023.ec.fits: ap = 31, w1 = 6904.507, w2 = 6758.865, dw = -0.08827, nw = 1651 130902.0023.ec.fits: ap = 32, w1 = 6822.319, w2 = 6678.413, dw = -0.08722, nw = 1651 130902.0023.ec.fits: ap = 33, w1 = 6742.065, w2 = 6599.854, dw = -0.08619, nw = 1651 130902.0023.ec.fits: ap = 34, w1 = 6663.678, w2 = 6523.122, dw = -0.08519, nw = 1651 130902.0023.ec.fits: ap = 35, w1 = 6587.092, w2 = 6448.154, dw = -0.08421, nw = 1651 130902.0023.ec.fits: ap = 36, w1 = 6512.247, w2 = 6374.89, dw = -0.08325, nw = 1651 130902.0023.ec.fits: ap = 37, w1 = 6439.085, w2 = 6303.272, dw = -0.08231, nw = 1651 130902.0023.ec.fits: ap = 38, w1 = 6367.548, w2 = 6233.246, dw = -0.08139, nw = 1651 130902.0023.ec.fits: ap = 39, w1 = 6297.583, w2 = 6164.759, dw = -0.0805, nw = 1651 130902.0023.ec.fits: ap = 40, w1 = 6229.139, w2 = 6097.761, dw = -0.07962, nw = 1651 130902.0023.ec.fits: ap = 41, w1 = 6162.168, w2 = 6032.204, dw = -0.07877, nw = 1651 130902.0023.ec.fits: ap = 42, w1 = 6096.621, w2 = 5968.042, dw = -0.07793, nw = 1651 130902.0023.ec.fits: ap = 43, w1 = 6032.454, w2 = 5905.231, dw = -0.0771, nw = 1651 130902.0023.ec.fits: ap = 44, w1 = 5969.624, w2 = 5843.729, dw = -0.0763, nw = 1651 130902.0023.ec.fits: ap = 45, w1 = 5908.09, w2 = 5783.494, dw = -0.07551, nw = 1651 130902.0023.ec.fits: ap = 46, w1 = 5847.812, w2 = 5724.489, dw = -0.07474, nw = 1651 130902.0023.ec.fits: ap = 47, w1 = 5788.751, w2 = 5666.677, dw = -0.07398, nw = 1651 130902.0023.ec.fits: ap = 48, w1 = 5730.872, w2 = 5610.02, dw = -0.07324, nw = 1651 130902.0023.ec.fits: ap = 49, w1 = 5674.139, w2 = 5554.486, dw = -0.07252, nw = 1651 130902.0023.ec.fits: ap = 50, w1 = 5618.519, w2 = 5500.04, dw = -0.07181, nw = 1651 130902.0023.ec.fits: ap = 51, w1 = 5563.978, w2 = 5446.652, dw = -0.07111, nw = 1651 130902.0023.ec.fits: ap = 52, w1 = 5510.487, w2 = 5394.291, dw = -0.07042, nw = 1651 130902.0023.ec.fits: ap = 53, w1 = 5458.014, w2 = 5342.927, dw = -0.06975, nw = 1651 130902.0023.ec.fits: ap = 54, w1 = 5406.531, w2 = 5292.532, dw = -0.06909, nw = 1651 130902.0023.ec.fits: ap = 55, w1 = 5356.011, w2 = 5243.079, dw = -0.06844, nw = 1651 130902.0023.ec.fits: ap = 56, w1 = 5306.427, w2 = 5194.543, dw = -0.06781, nw = 1651 130902.0023.ec.fits: ap = 57, w1 = 5257.752, w2 = 5146.897, dw = -0.06719, nw = 1651 130902.0023.ec.fits: ap = 58, w1 = 5209.963, w2 = 5100.117, dw = -0.06657, nw = 1651 130902.0023.ec.fits: ap = 59, w1 = 5163.034, w2 = 5054.18, dw = -0.06597, nw = 1651 130902.0023.ec.fits: ap = 60, w1 = 5116.944, w2 = 5009.064, dw = -0.06538, nw = 1651 130902.0023.ec.fits: ap = 61, w1 = 5071.669, w2 = 4964.746, dw = -0.0648, nw = 1651 130902.0023.ec.fits: ap = 62, w1 = 5027.189, w2 = 4921.206, dw = -0.06423, nw = 1651 130902.0023.ec.fits: ap = 63, w1 = 4983.482, w2 = 4878.423, dw = -0.06367, nw = 1651 130902.0023.ec.fits: ap = 64, w1 = 4940.529, w2 = 4836.377, dw = -0.06312, nw = 1651 130902.0023.ec.fits: ap = 65, w1 = 4898.31, w2 = 4795.051, dw = -0.06258, nw = 1651 130902.0023.ec.fits: ap = 66, w1 = 4856.806, w2 = 4754.425, dw = -0.06205, nw = 1651 130902.0023.ec.fits: ap = 67, w1 = 4816.001, w2 = 4714.482, dw = -0.06153, nw = 1651 130902.0023.ec.fits: ap = 68, w1 = 4775.875, w2 = 4675.204, dw = -0.06101, nw = 1651 130902.0023.ec.fits: ap = 69, w1 = 4736.413, w2 = 4636.576, dw = -0.06051, nw = 1651 130902.0023.ec.fits: ap = 70, w1 = 4697.597, w2 = 4598.581, dw = -0.06001, nw = 1651 130902.0023.ec.fits: ap = 71, w1 = 4659.412, w2 = 4561.204, dw = -0.05952, nw = 1651 130902.0023.ec.fits: ap = 72, w1 = 4621.844, w2 = 4524.429, dw = -0.05904, nw = 1651 130902.0023.ec.fits: ap = 73, w1 = 4584.876, w2 = 4488.243, dw = -0.05857, nw = 1651 130902.0023.ec.fits: ap = 74, w1 = 4548.495, w2 = 4452.632, dw = -0.0581, nw = 1651 130902.0023.ec.fits: ap = 75, w1 = 4512.687, w2 = 4417.581, dw = -0.05764, nw = 1651 130902.0023.ec.fits: ap = 76, w1 = 4477.439, w2 = 4383.078, dw = -0.05719, nw = 1651 130902.0023.ec.fits: ap = 77, w1 = 4442.737, w2 = 4349.11, dw = -0.05674, nw = 1651 130902.0023.ec.fits: ap = 78, w1 = 4408.568, w2 = 4315.664, dw = -0.05631, nw = 1651 130902.0023.ec.fits: ap = 79, w1 = 4374.922, w2 = 4282.729, dw = -0.05587, nw = 1651 130902.0023.ec.fits: ap = 80, w1 = 4341.785, w2 = 4250.292, dw = -0.05545, nw = 1651 130902.0023.ec.fits: ap = 81, w1 = 4309.146, w2 = 4218.344, dw = -0.05503, nw = 1651 130902.0023.ec.fits: ap = 82, w1 = 4276.994, w2 = 4186.872, dw = -0.05462, nw = 1651 130902.0023.ec.fits: ap = 83, w1 = 4245.318, w2 = 4155.866, dw = -0.05421, nw = 1651 130902.0023.ec.fits: ap = 84, w1 = 4214.108, w2 = 4125.317, dw = -0.05381, nw = 1651 130902.0023.ec.fits: ap = 85, w1 = 4183.353, w2 = 4095.213, dw = -0.05342, nw = 1651 130902.0023.ec.fits: ap = 86, w1 = 4153.044, w2 = 4065.545, dw = -0.05303, nw = 1651 130902.0023.ec.fits: ap = 87, w1 = 4123.171, w2 = 4036.304, dw = -0.05265, nw = 1651 130902.0023.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.481, dw = -0.05227, nw = 1651 130902.0023.ec.fits: ap = 89, w1 = 4064.696, w2 = 3979.066, dw = -0.0519, nw = 1651 130902.0023.ec.fits: ap = 90, w1 = 4036.075, w2 = 3951.051, dw = -0.05153, nw = 1651 130902.0023.ec.fits: ap = 91, w1 = 4007.855, w2 = 3923.428, dw = -0.05117, nw = 1651 130902.0023.ec.fits: ap = 92, w1 = 3980.026, w2 = 3896.188, dw = -0.05081, nw = 1651 130902.0023.ec.fits: ap = 93, w1 = 3952.581, w2 = 3869.324, dw = -0.05046, nw = 1651 130902.0023.ec.fits: ap = 94, w1 = 3925.512, w2 = 3842.828, dw = -0.05011, nw = 1651 130902.0023.ec.fits: ap = 95, w1 = 3898.811, w2 = 3816.692, dw = -0.04977, nw = 1651 130902.0023.ec.fits: ap = 96, w1 = 3872.47, w2 = 3790.909, dw = -0.04943, nw = 1651 130902.0023.ec.fits: ap = 97, w1 = 3846.483, w2 = 3765.472, dw = -0.0491, nw = 1651 130902.0023.ec.fits: ap = 98, w1 = 3820.841, w2 = 3740.373, dw = -0.04877, nw = 1651 130902.0023.ec.fits: ap = 99, w1 = 3795.539, w2 = 3715.607, dw = -0.04844, nw = 1651 130902.0023.ec.fits: ap = 100, w1 = 3770.57, w2 = 3691.167, dw = -0.04812, nw = 1651 130902.0023.ec.fits: ap = 101, w1 = 3745.927, w2 = 3667.045, dw = -0.04781, nw = 1651 130902.0023.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.237, dw = -0.04749, nw = 1651 130902.0023.ec.fits: ap = 103, w1 = 3697.593, w2 = 3619.736, dw = -0.04719, nw = 1651 130902.0023.ec.fits: ap = 104, w1 = 3673.891, w2 = 3596.535, dw = -0.04688, nw = 1651 130902.0023.ec.fits: ap = 105, w1 = 3650.49, w2 = 3573.63, dw = -0.04658, nw = 1651 130902.0023.ec.fits: ap = 106, w1 = 3627.384, w2 = 3551.014, dw = -0.04628, nw = 1651 130902.0023.ec.fits: ap = 107, w1 = 3604.569, w2 = 3528.683, dw = -0.04599, nw = 1651 130902.0023.ec.fits: ap = 108, w1 = 3582.039, w2 = 3506.63, dw = -0.0457, nw = 1651 130902.0023.ec.fits: ap = 109, w1 = 3559.788, w2 = 3484.851, dw = -0.04542, nw = 1651 130902.0023.ec.fits: ap = 110, w1 = 3537.812, w2 = 3463.34, dw = -0.04513, nw = 1651 130902.0023.ec.fits: ap = 111, w1 = 3516.104, w2 = 3442.092, dw = -0.04486, nw = 1651 130902.0023.ec.fits: ap = 112, w1 = 3494.661, w2 = 3421.104, dw = -0.04458, nw = 1651 130902.0023.ec.fits: ap = 113, w1 = 3473.477, w2 = 3400.369, dw = -0.04431, nw = 1651 130902.0023.ec.fits: ap = 114, w1 = 3452.548, w2 = 3379.884, dw = -0.04404, nw = 1651 130902.0023.ec.fits: ap = 115, w1 = 3431.87, w2 = 3359.644, dw = -0.04377, nw = 1651 130902.0025.ec.fits: REFSPEC1 = '130902_ThAr.0024.ec 0.79058439' 130902.0025.ec.fits: REFSPEC2 = '130902_ThAr.0028.ec 0.20941561' 130902.0025.ec.fits: ap = 1, w1 = 10812.24, w2 = 10584.07, dw = -0.13829, nw = 1651 130902.0025.ec.fits: ap = 2, w1 = 10612.03, w2 = 10388.09, dw = -0.13572, nw = 1651 130902.0025.ec.fits: ap = 3, w1 = 10419.11, w2 = 10199.24, dw = -0.13325, nw = 1651 130902.0025.ec.fits: ap = 4, w1 = 10233.07, w2 = 10017.13, dw = -0.13087, nw = 1651 130902.0025.ec.fits: ap = 5, w1 = 10053.56, w2 = 9841.411, dw = -0.12858, nw = 1651 130902.0025.ec.fits: ap = 6, w1 = 9880.242, w2 = 9671.751, dw = -0.12636, nw = 1651 130902.0025.ec.fits: ap = 7, w1 = 9712.797, w2 = 9507.842, dw = -0.12422, nw = 1651 130902.0025.ec.fits: ap = 8, w1 = 9550.933, w2 = 9349.396, dw = -0.12214, nw = 1651 130902.0025.ec.fits: ap = 9, w1 = 9394.376, w2 = 9196.145, dw = -0.12014, nw = 1651 130902.0025.ec.fits: ap = 10, w1 = 9242.868, w2 = 9047.836, dw = -0.1182, nw = 1651 130902.0025.ec.fits: ap = 11, w1 = 9096.17, w2 = 8904.236, dw = -0.11632, nw = 1651 130902.0025.ec.fits: ap = 12, w1 = 8954.056, w2 = 8765.123, dw = -0.1145, nw = 1651 130902.0025.ec.fits: ap = 13, w1 = 8816.314, w2 = 8630.29, dw = -0.11274, nw = 1651 130902.0025.ec.fits: ap = 14, w1 = 8682.746, w2 = 8499.543, dw = -0.11103, nw = 1651 130902.0025.ec.fits: ap = 15, w1 = 8553.165, w2 = 8372.698, dw = -0.10937, nw = 1651 130902.0025.ec.fits: ap = 16, w1 = 8427.395, w2 = 8249.584, dw = -0.10776, nw = 1651 130902.0025.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.038, dw = -0.1062, nw = 1651 130902.0025.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.907, dw = -0.10468, nw = 1651 130902.0025.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.048, dw = -0.10321, nw = 1651 130902.0025.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.324, dw = -0.10177, nw = 1651 130902.0025.ec.fits: ap = 21, w1 = 7850.227, w2 = 7684.605, dw = -0.10038, nw = 1651 130902.0025.ec.fits: ap = 22, w1 = 7744.153, w2 = 7580.771, dw = -0.09902, nw = 1651 130902.0025.ec.fits: ap = 23, w1 = 7640.907, w2 = 7479.706, dw = -0.0977, nw = 1651 130902.0025.ec.fits: ap = 24, w1 = 7540.378, w2 = 7381.3, dw = -0.09641, nw = 1651 130902.0025.ec.fits: ap = 25, w1 = 7442.46, w2 = 7285.451, dw = -0.09516, nw = 1651 130902.0025.ec.fits: ap = 26, w1 = 7347.053, w2 = 7192.059, dw = -0.09394, nw = 1651 130902.0025.ec.fits: ap = 27, w1 = 7254.062, w2 = 7101.031, dw = -0.09275, nw = 1651 130902.0025.ec.fits: ap = 28, w1 = 7163.395, w2 = 7012.279, dw = -0.09159, nw = 1651 130902.0025.ec.fits: ap = 29, w1 = 7074.966, w2 = 6925.718, dw = -0.09045, nw = 1651 130902.0025.ec.fits: ap = 30, w1 = 6988.695, w2 = 6841.269, dw = -0.08935, nw = 1651 130902.0025.ec.fits: ap = 31, w1 = 6904.502, w2 = 6758.855, dw = -0.08827, nw = 1651 130902.0025.ec.fits: ap = 32, w1 = 6822.314, w2 = 6678.403, dw = -0.08722, nw = 1651 130902.0025.ec.fits: ap = 33, w1 = 6742.06, w2 = 6599.844, dw = -0.08619, nw = 1651 130902.0025.ec.fits: ap = 34, w1 = 6663.672, w2 = 6523.112, dw = -0.08519, nw = 1651 130902.0025.ec.fits: ap = 35, w1 = 6587.087, w2 = 6448.144, dw = -0.08421, nw = 1651 130902.0025.ec.fits: ap = 36, w1 = 6512.242, w2 = 6374.88, dw = -0.08325, nw = 1651 130902.0025.ec.fits: ap = 37, w1 = 6439.079, w2 = 6303.262, dw = -0.08231, nw = 1651 130902.0025.ec.fits: ap = 38, w1 = 6367.542, w2 = 6233.236, dw = -0.0814, nw = 1651 130902.0025.ec.fits: ap = 39, w1 = 6297.577, w2 = 6164.75, dw = -0.0805, nw = 1651 130902.0025.ec.fits: ap = 40, w1 = 6229.133, w2 = 6097.752, dw = -0.07963, nw = 1651 130902.0025.ec.fits: ap = 41, w1 = 6162.161, w2 = 6032.195, dw = -0.07877, nw = 1651 130902.0025.ec.fits: ap = 42, w1 = 6096.615, w2 = 5968.033, dw = -0.07793, nw = 1651 130902.0025.ec.fits: ap = 43, w1 = 6032.448, w2 = 5905.222, dw = -0.07711, nw = 1651 130902.0025.ec.fits: ap = 44, w1 = 5969.618, w2 = 5843.719, dw = -0.0763, nw = 1651 130902.0025.ec.fits: ap = 45, w1 = 5908.084, w2 = 5783.485, dw = -0.07551, nw = 1651 130902.0025.ec.fits: ap = 46, w1 = 5847.806, w2 = 5724.48, dw = -0.07474, nw = 1651 130902.0025.ec.fits: ap = 47, w1 = 5788.745, w2 = 5666.667, dw = -0.07399, nw = 1651 130902.0025.ec.fits: ap = 48, w1 = 5730.866, w2 = 5610.011, dw = -0.07325, nw = 1651 130902.0025.ec.fits: ap = 49, w1 = 5674.133, w2 = 5554.477, dw = -0.07252, nw = 1651 130902.0025.ec.fits: ap = 50, w1 = 5618.512, w2 = 5500.031, dw = -0.07181, nw = 1651 130902.0025.ec.fits: ap = 51, w1 = 5563.972, w2 = 5446.643, dw = -0.07111, nw = 1651 130902.0025.ec.fits: ap = 52, w1 = 5510.48, w2 = 5394.282, dw = -0.07042, nw = 1651 130902.0025.ec.fits: ap = 53, w1 = 5458.008, w2 = 5342.918, dw = -0.06975, nw = 1651 130902.0025.ec.fits: ap = 54, w1 = 5406.525, w2 = 5292.524, dw = -0.06909, nw = 1651 130902.0025.ec.fits: ap = 55, w1 = 5356.005, w2 = 5243.071, dw = -0.06844, nw = 1651 130902.0025.ec.fits: ap = 56, w1 = 5306.421, w2 = 5194.534, dw = -0.06781, nw = 1651 130902.0025.ec.fits: ap = 57, w1 = 5257.746, w2 = 5146.889, dw = -0.06719, nw = 1651 130902.0025.ec.fits: ap = 58, w1 = 5209.957, w2 = 5100.109, dw = -0.06657, nw = 1651 130902.0025.ec.fits: ap = 59, w1 = 5163.028, w2 = 5054.172, dw = -0.06597, nw = 1651 130902.0025.ec.fits: ap = 60, w1 = 5116.938, w2 = 5009.056, dw = -0.06538, nw = 1651 130902.0025.ec.fits: ap = 61, w1 = 5071.663, w2 = 4964.738, dw = -0.0648, nw = 1651 130902.0025.ec.fits: ap = 62, w1 = 5027.183, w2 = 4921.198, dw = -0.06423, nw = 1651 130902.0025.ec.fits: ap = 63, w1 = 4983.476, w2 = 4878.415, dw = -0.06367, nw = 1651 130902.0025.ec.fits: ap = 64, w1 = 4940.523, w2 = 4836.37, dw = -0.06312, nw = 1651 130902.0025.ec.fits: ap = 65, w1 = 4898.305, w2 = 4795.044, dw = -0.06258, nw = 1651 130902.0025.ec.fits: ap = 66, w1 = 4856.801, w2 = 4754.418, dw = -0.06205, nw = 1651 130902.0025.ec.fits: ap = 67, w1 = 4815.996, w2 = 4714.475, dw = -0.06153, nw = 1651 130902.0025.ec.fits: ap = 68, w1 = 4775.87, w2 = 4675.198, dw = -0.06101, nw = 1651 130902.0025.ec.fits: ap = 69, w1 = 4736.407, w2 = 4636.57, dw = -0.06051, nw = 1651 130902.0025.ec.fits: ap = 70, w1 = 4697.592, w2 = 4598.575, dw = -0.06001, nw = 1651 130902.0025.ec.fits: ap = 71, w1 = 4659.407, w2 = 4561.198, dw = -0.05952, nw = 1651 130902.0025.ec.fits: ap = 72, w1 = 4621.839, w2 = 4524.424, dw = -0.05904, nw = 1651 130902.0025.ec.fits: ap = 73, w1 = 4584.871, w2 = 4488.237, dw = -0.05857, nw = 1651 130902.0025.ec.fits: ap = 74, w1 = 4548.49, w2 = 4452.626, dw = -0.0581, nw = 1651 130902.0025.ec.fits: ap = 75, w1 = 4512.682, w2 = 4417.575, dw = -0.05764, nw = 1651 130902.0025.ec.fits: ap = 76, w1 = 4477.434, w2 = 4383.073, dw = -0.05719, nw = 1651 130902.0025.ec.fits: ap = 77, w1 = 4442.732, w2 = 4349.105, dw = -0.05674, nw = 1651 130902.0025.ec.fits: ap = 78, w1 = 4408.564, w2 = 4315.659, dw = -0.05631, nw = 1651 130902.0025.ec.fits: ap = 79, w1 = 4374.916, w2 = 4282.724, dw = -0.05587, nw = 1651 130902.0025.ec.fits: ap = 80, w1 = 4341.779, w2 = 4250.287, dw = -0.05545, nw = 1651 130902.0025.ec.fits: ap = 81, w1 = 4309.14, w2 = 4218.339, dw = -0.05503, nw = 1651 130902.0025.ec.fits: ap = 82, w1 = 4276.988, w2 = 4186.867, dw = -0.05462, nw = 1651 130902.0025.ec.fits: ap = 83, w1 = 4245.312, w2 = 4155.862, dw = -0.05421, nw = 1651 130902.0025.ec.fits: ap = 84, w1 = 4214.101, w2 = 4125.312, dw = -0.05381, nw = 1651 130902.0025.ec.fits: ap = 85, w1 = 4183.347, w2 = 4095.208, dw = -0.05342, nw = 1651 130902.0025.ec.fits: ap = 86, w1 = 4153.037, w2 = 4065.54, dw = -0.05303, nw = 1651 130902.0025.ec.fits: ap = 87, w1 = 4123.164, w2 = 4036.299, dw = -0.05265, nw = 1651 130902.0025.ec.fits: ap = 88, w1 = 4093.717, w2 = 4007.475, dw = -0.05227, nw = 1651 130902.0025.ec.fits: ap = 89, w1 = 4064.687, w2 = 3979.061, dw = -0.0519, nw = 1651 130902.0025.ec.fits: ap = 90, w1 = 4036.066, w2 = 3951.046, dw = -0.05153, nw = 1651 130902.0025.ec.fits: ap = 91, w1 = 4007.846, w2 = 3923.422, dw = -0.05117, nw = 1651 130902.0025.ec.fits: ap = 92, w1 = 3980.016, w2 = 3896.183, dw = -0.05081, nw = 1651 130902.0025.ec.fits: ap = 93, w1 = 3952.571, w2 = 3869.318, dw = -0.05046, nw = 1651 130902.0025.ec.fits: ap = 94, w1 = 3925.501, w2 = 3842.822, dw = -0.05011, nw = 1651 130902.0025.ec.fits: ap = 95, w1 = 3898.799, w2 = 3816.686, dw = -0.04977, nw = 1651 130902.0025.ec.fits: ap = 96, w1 = 3872.457, w2 = 3790.902, dw = -0.04943, nw = 1651 130902.0025.ec.fits: ap = 97, w1 = 3846.469, w2 = 3765.465, dw = -0.04909, nw = 1651 130902.0025.ec.fits: ap = 98, w1 = 3820.827, w2 = 3740.366, dw = -0.04876, nw = 1651 130902.0025.ec.fits: ap = 99, w1 = 3795.524, w2 = 3715.599, dw = -0.04844, nw = 1651 130902.0025.ec.fits: ap = 100, w1 = 3770.554, w2 = 3691.158, dw = -0.04812, nw = 1651 130902.0025.ec.fits: ap = 101, w1 = 3745.909, w2 = 3667.037, dw = -0.0478, nw = 1651 130902.0025.ec.fits: ap = 102, w1 = 3721.584, w2 = 3643.228, dw = -0.04749, nw = 1651 130902.0025.ec.fits: ap = 103, w1 = 3697.573, w2 = 3619.726, dw = -0.04718, nw = 1651 130902.0025.ec.fits: ap = 104, w1 = 3673.869, w2 = 3596.524, dw = -0.04688, nw = 1651 130902.0025.ec.fits: ap = 105, w1 = 3650.467, w2 = 3573.618, dw = -0.04657, nw = 1651 130902.0025.ec.fits: ap = 106, w1 = 3627.36, w2 = 3551.002, dw = -0.04628, nw = 1651 130902.0025.ec.fits: ap = 107, w1 = 3604.544, w2 = 3528.67, dw = -0.04598, nw = 1651 130902.0025.ec.fits: ap = 108, w1 = 3582.012, w2 = 3506.616, dw = -0.04569, nw = 1651 130902.0025.ec.fits: ap = 109, w1 = 3559.759, w2 = 3484.836, dw = -0.04541, nw = 1651 130902.0025.ec.fits: ap = 110, w1 = 3537.781, w2 = 3463.324, dw = -0.04513, nw = 1651 130902.0025.ec.fits: ap = 111, w1 = 3516.072, w2 = 3442.076, dw = -0.04485, nw = 1651 130902.0025.ec.fits: ap = 112, w1 = 3494.627, w2 = 3421.087, dw = -0.04457, nw = 1651 130902.0025.ec.fits: ap = 113, w1 = 3473.441, w2 = 3400.351, dw = -0.0443, nw = 1651 130902.0025.ec.fits: ap = 114, w1 = 3452.51, w2 = 3379.865, dw = -0.04403, nw = 1651 130902.0025.ec.fits: ap = 115, w1 = 3431.829, w2 = 3359.623, dw = -0.04376, nw = 1651 130902.0026.ec.fits: REFSPEC1 = '130902_ThAr.0024.ec 0.43654397' 130902.0026.ec.fits: REFSPEC2 = '130902_ThAr.0028.ec 0.56345606' 130902.0026.ec.fits: ap = 1, w1 = 10812.23, w2 = 10584.04, dw = -0.1383, nw = 1651 130902.0026.ec.fits: ap = 2, w1 = 10612.03, w2 = 10388.06, dw = -0.13574, nw = 1651 130902.0026.ec.fits: ap = 3, w1 = 10419.1, w2 = 10199.21, dw = -0.13327, nw = 1651 130902.0026.ec.fits: ap = 4, w1 = 10233.06, w2 = 10017.1, dw = -0.13088, nw = 1651 130902.0026.ec.fits: ap = 5, w1 = 10053.55, w2 = 9841.386, dw = -0.12859, nw = 1651 130902.0026.ec.fits: ap = 6, w1 = 9880.232, w2 = 9671.727, dw = -0.12637, nw = 1651 130902.0026.ec.fits: ap = 7, w1 = 9712.787, w2 = 9507.819, dw = -0.12422, nw = 1651 130902.0026.ec.fits: ap = 8, w1 = 9550.923, w2 = 9349.374, dw = -0.12215, nw = 1651 130902.0026.ec.fits: ap = 9, w1 = 9394.365, w2 = 9196.124, dw = -0.12015, nw = 1651 130902.0026.ec.fits: ap = 10, w1 = 9242.857, w2 = 9047.817, dw = -0.11821, nw = 1651 130902.0026.ec.fits: ap = 11, w1 = 9096.159, w2 = 8904.217, dw = -0.11633, nw = 1651 130902.0026.ec.fits: ap = 12, w1 = 8954.045, w2 = 8765.105, dw = -0.11451, nw = 1651 130902.0026.ec.fits: ap = 13, w1 = 8816.303, w2 = 8630.273, dw = -0.11275, nw = 1651 130902.0026.ec.fits: ap = 14, w1 = 8682.735, w2 = 8499.526, dw = -0.11104, nw = 1651 130902.0026.ec.fits: ap = 15, w1 = 8553.154, w2 = 8372.682, dw = -0.10938, nw = 1651 130902.0026.ec.fits: ap = 16, w1 = 8427.384, w2 = 8249.568, dw = -0.10777, nw = 1651 130902.0026.ec.fits: ap = 17, w1 = 8305.259, w2 = 8130.023, dw = -0.1062, nw = 1651 130902.0026.ec.fits: ap = 18, w1 = 8186.623, w2 = 8013.893, dw = -0.10468, nw = 1651 130902.0026.ec.fits: ap = 19, w1 = 8071.329, w2 = 7901.034, dw = -0.10321, nw = 1651 130902.0026.ec.fits: ap = 20, w1 = 7959.238, w2 = 7791.311, dw = -0.10177, nw = 1651 130902.0026.ec.fits: ap = 21, w1 = 7850.217, w2 = 7684.593, dw = -0.10038, nw = 1651 130902.0026.ec.fits: ap = 22, w1 = 7744.143, w2 = 7580.759, dw = -0.09902, nw = 1651 130902.0026.ec.fits: ap = 23, w1 = 7640.898, w2 = 7479.694, dw = -0.0977, nw = 1651 130902.0026.ec.fits: ap = 24, w1 = 7540.369, w2 = 7381.289, dw = -0.09641, nw = 1651 130902.0026.ec.fits: ap = 25, w1 = 7442.452, w2 = 7285.439, dw = -0.09516, nw = 1651 130902.0026.ec.fits: ap = 26, w1 = 7347.045, w2 = 7192.048, dw = -0.09394, nw = 1651 130902.0026.ec.fits: ap = 27, w1 = 7254.053, w2 = 7101.02, dw = -0.09275, nw = 1651 130902.0026.ec.fits: ap = 28, w1 = 7163.386, w2 = 7012.268, dw = -0.09159, nw = 1651 130902.0026.ec.fits: ap = 29, w1 = 7074.958, w2 = 6925.708, dw = -0.09045, nw = 1651 130902.0026.ec.fits: ap = 30, w1 = 6988.687, w2 = 6841.259, dw = -0.08935, nw = 1651 130902.0026.ec.fits: ap = 31, w1 = 6904.495, w2 = 6758.845, dw = -0.08827, nw = 1651 130902.0026.ec.fits: ap = 32, w1 = 6822.307, w2 = 6678.393, dw = -0.08722, nw = 1651 130902.0026.ec.fits: ap = 33, w1 = 6742.053, w2 = 6599.834, dw = -0.08619, nw = 1651 130902.0026.ec.fits: ap = 34, w1 = 6663.665, w2 = 6523.102, dw = -0.08519, nw = 1651 130902.0026.ec.fits: ap = 35, w1 = 6587.08, w2 = 6448.134, dw = -0.08421, nw = 1651 130902.0026.ec.fits: ap = 36, w1 = 6512.235, w2 = 6374.87, dw = -0.08325, nw = 1651 130902.0026.ec.fits: ap = 37, w1 = 6439.072, w2 = 6303.253, dw = -0.08231, nw = 1651 130902.0026.ec.fits: ap = 38, w1 = 6367.535, w2 = 6233.227, dw = -0.0814, nw = 1651 130902.0026.ec.fits: ap = 39, w1 = 6297.571, w2 = 6164.74, dw = -0.0805, nw = 1651 130902.0026.ec.fits: ap = 40, w1 = 6229.127, w2 = 6097.742, dw = -0.07963, nw = 1651 130902.0026.ec.fits: ap = 41, w1 = 6162.155, w2 = 6032.186, dw = -0.07877, nw = 1651 130902.0026.ec.fits: ap = 42, w1 = 6096.609, w2 = 5968.024, dw = -0.07793, nw = 1651 130902.0026.ec.fits: ap = 43, w1 = 6032.442, w2 = 5905.212, dw = -0.07711, nw = 1651 130902.0026.ec.fits: ap = 44, w1 = 5969.612, w2 = 5843.71, dw = -0.0763, nw = 1651 130902.0026.ec.fits: ap = 45, w1 = 5908.078, w2 = 5783.476, dw = -0.07552, nw = 1651 130902.0026.ec.fits: ap = 46, w1 = 5847.8, w2 = 5724.471, dw = -0.07474, nw = 1651 130902.0026.ec.fits: ap = 47, w1 = 5788.739, w2 = 5666.658, dw = -0.07399, nw = 1651 130902.0026.ec.fits: ap = 48, w1 = 5730.86, w2 = 5610.002, dw = -0.07325, nw = 1651 130902.0026.ec.fits: ap = 49, w1 = 5674.127, w2 = 5554.467, dw = -0.07252, nw = 1651 130902.0026.ec.fits: ap = 50, w1 = 5618.506, w2 = 5500.022, dw = -0.07181, nw = 1651 130902.0026.ec.fits: ap = 51, w1 = 5563.966, w2 = 5446.634, dw = -0.07111, nw = 1651 130902.0026.ec.fits: ap = 52, w1 = 5510.475, w2 = 5394.273, dw = -0.07043, nw = 1651 130902.0026.ec.fits: ap = 53, w1 = 5458.002, w2 = 5342.909, dw = -0.06975, nw = 1651 130902.0026.ec.fits: ap = 54, w1 = 5406.52, w2 = 5292.514, dw = -0.06909, nw = 1651 130902.0026.ec.fits: ap = 55, w1 = 5356., w2 = 5243.062, dw = -0.06845, nw = 1651 130902.0026.ec.fits: ap = 56, w1 = 5306.415, w2 = 5194.525, dw = -0.06781, nw = 1651 130902.0026.ec.fits: ap = 57, w1 = 5257.741, w2 = 5146.879, dw = -0.06719, nw = 1651 130902.0026.ec.fits: ap = 58, w1 = 5209.951, w2 = 5100.1, dw = -0.06658, nw = 1651 130902.0026.ec.fits: ap = 59, w1 = 5163.023, w2 = 5054.163, dw = -0.06598, nw = 1651 130902.0026.ec.fits: ap = 60, w1 = 5116.932, w2 = 5009.047, dw = -0.06539, nw = 1651 130902.0026.ec.fits: ap = 61, w1 = 5071.658, w2 = 4964.729, dw = -0.06481, nw = 1651 130902.0026.ec.fits: ap = 62, w1 = 5027.178, w2 = 4921.189, dw = -0.06424, nw = 1651 130902.0026.ec.fits: ap = 63, w1 = 4983.471, w2 = 4878.407, dw = -0.06368, nw = 1651 130902.0026.ec.fits: ap = 64, w1 = 4940.518, w2 = 4836.362, dw = -0.06313, nw = 1651 130902.0026.ec.fits: ap = 65, w1 = 4898.299, w2 = 4795.035, dw = -0.06258, nw = 1651 130902.0026.ec.fits: ap = 66, w1 = 4856.796, w2 = 4754.41, dw = -0.06205, nw = 1651 130902.0026.ec.fits: ap = 67, w1 = 4815.991, w2 = 4714.467, dw = -0.06153, nw = 1651 130902.0026.ec.fits: ap = 68, w1 = 4775.865, w2 = 4675.19, dw = -0.06102, nw = 1651 130902.0026.ec.fits: ap = 69, w1 = 4736.403, w2 = 4636.562, dw = -0.06051, nw = 1651 130902.0026.ec.fits: ap = 70, w1 = 4697.588, w2 = 4598.567, dw = -0.06001, nw = 1651 130902.0026.ec.fits: ap = 71, w1 = 4659.404, w2 = 4561.19, dw = -0.05952, nw = 1651 130902.0026.ec.fits: ap = 72, w1 = 4621.835, w2 = 4524.417, dw = -0.05904, nw = 1651 130902.0026.ec.fits: ap = 73, w1 = 4584.868, w2 = 4488.231, dw = -0.05857, nw = 1651 130902.0026.ec.fits: ap = 74, w1 = 4548.488, w2 = 4452.62, dw = -0.0581, nw = 1651 130902.0026.ec.fits: ap = 75, w1 = 4512.68, w2 = 4417.57, dw = -0.05764, nw = 1651 130902.0026.ec.fits: ap = 76, w1 = 4477.432, w2 = 4383.067, dw = -0.05719, nw = 1651 130902.0026.ec.fits: ap = 77, w1 = 4442.731, w2 = 4349.1, dw = -0.05675, nw = 1651 130902.0026.ec.fits: ap = 78, w1 = 4408.563, w2 = 4315.655, dw = -0.05631, nw = 1651 130902.0026.ec.fits: ap = 79, w1 = 4374.916, w2 = 4282.72, dw = -0.05588, nw = 1651 130902.0026.ec.fits: ap = 80, w1 = 4341.78, w2 = 4250.284, dw = -0.05545, nw = 1651 130902.0026.ec.fits: ap = 81, w1 = 4309.141, w2 = 4218.336, dw = -0.05503, nw = 1651 130902.0026.ec.fits: ap = 82, w1 = 4276.99, w2 = 4186.865, dw = -0.05462, nw = 1651 130902.0026.ec.fits: ap = 83, w1 = 4245.315, w2 = 4155.86, dw = -0.05421, nw = 1651 130902.0026.ec.fits: ap = 84, w1 = 4214.106, w2 = 4125.311, dw = -0.05381, nw = 1651 130902.0026.ec.fits: ap = 85, w1 = 4183.352, w2 = 4095.208, dw = -0.05342, nw = 1651 130902.0026.ec.fits: ap = 86, w1 = 4153.043, w2 = 4065.541, dw = -0.05303, nw = 1651 130902.0026.ec.fits: ap = 87, w1 = 4123.171, w2 = 4036.301, dw = -0.05265, nw = 1651 130902.0026.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.479, dw = -0.05227, nw = 1651 130902.0026.ec.fits: ap = 89, w1 = 4064.697, w2 = 3979.065, dw = -0.0519, nw = 1651 130902.0026.ec.fits: ap = 90, w1 = 4036.078, w2 = 3951.051, dw = -0.05153, nw = 1651 130902.0026.ec.fits: ap = 91, w1 = 4007.858, w2 = 3923.429, dw = -0.05117, nw = 1651 130902.0026.ec.fits: ap = 92, w1 = 3980.03, w2 = 3896.19, dw = -0.05081, nw = 1651 130902.0026.ec.fits: ap = 93, w1 = 3952.586, w2 = 3869.327, dw = -0.05046, nw = 1651 130902.0026.ec.fits: ap = 94, w1 = 3925.518, w2 = 3842.832, dw = -0.05011, nw = 1651 130902.0026.ec.fits: ap = 95, w1 = 3898.818, w2 = 3816.697, dw = -0.04977, nw = 1651 130902.0026.ec.fits: ap = 96, w1 = 3872.478, w2 = 3790.915, dw = -0.04943, nw = 1651 130902.0026.ec.fits: ap = 97, w1 = 3846.492, w2 = 3765.479, dw = -0.0491, nw = 1651 130902.0026.ec.fits: ap = 98, w1 = 3820.852, w2 = 3740.382, dw = -0.04877, nw = 1651 130902.0026.ec.fits: ap = 99, w1 = 3795.551, w2 = 3715.617, dw = -0.04844, nw = 1651 130902.0026.ec.fits: ap = 100, w1 = 3770.583, w2 = 3691.178, dw = -0.04812, nw = 1651 130902.0026.ec.fits: ap = 101, w1 = 3745.941, w2 = 3667.058, dw = -0.04781, nw = 1651 130902.0026.ec.fits: ap = 102, w1 = 3721.619, w2 = 3643.25, dw = -0.0475, nw = 1651 130902.0026.ec.fits: ap = 103, w1 = 3697.61, w2 = 3619.75, dw = -0.04719, nw = 1651 130902.0026.ec.fits: ap = 104, w1 = 3673.909, w2 = 3596.551, dw = -0.04688, nw = 1651 130902.0026.ec.fits: ap = 105, w1 = 3650.509, w2 = 3573.647, dw = -0.04658, nw = 1651 130902.0026.ec.fits: ap = 106, w1 = 3627.405, w2 = 3551.033, dw = -0.04629, nw = 1651 130902.0026.ec.fits: ap = 107, w1 = 3604.592, w2 = 3528.703, dw = -0.04599, nw = 1651 130902.0026.ec.fits: ap = 108, w1 = 3582.063, w2 = 3506.651, dw = -0.0457, nw = 1651 130902.0026.ec.fits: ap = 109, w1 = 3559.814, w2 = 3484.873, dw = -0.04542, nw = 1651 130902.0026.ec.fits: ap = 110, w1 = 3537.839, w2 = 3463.364, dw = -0.04514, nw = 1651 130902.0026.ec.fits: ap = 111, w1 = 3516.133, w2 = 3442.119, dw = -0.04486, nw = 1651 130902.0026.ec.fits: ap = 112, w1 = 3494.692, w2 = 3421.132, dw = -0.04458, nw = 1651 130902.0026.ec.fits: ap = 113, w1 = 3473.51, w2 = 3400.399, dw = -0.04431, nw = 1651 130902.0026.ec.fits: ap = 114, w1 = 3452.583, w2 = 3379.915, dw = -0.04404, nw = 1651 130902.0026.ec.fits: ap = 115, w1 = 3431.906, w2 = 3359.676, dw = -0.04378, nw = 1651 130902.0027.ec.fits: REFSPEC1 = '130902_ThAr.0024.ec 0.13520384' 130902.0027.ec.fits: REFSPEC2 = '130902_ThAr.0028.ec 0.86479616' 130902.0027.ec.fits: ap = 1, w1 = 10812.23, w2 = 10584.01, dw = -0.13831, nw = 1651 130902.0027.ec.fits: ap = 2, w1 = 10612.02, w2 = 10388.04, dw = -0.13575, nw = 1651 130902.0027.ec.fits: ap = 3, w1 = 10419.09, w2 = 10199.19, dw = -0.13328, nw = 1651 130902.0027.ec.fits: ap = 4, w1 = 10233.05, w2 = 10017.08, dw = -0.13089, nw = 1651 130902.0027.ec.fits: ap = 5, w1 = 10053.54, w2 = 9841.365, dw = -0.12859, nw = 1651 130902.0027.ec.fits: ap = 6, w1 = 9880.224, w2 = 9671.707, dw = -0.12637, nw = 1651 130902.0027.ec.fits: ap = 7, w1 = 9712.778, w2 = 9507.8, dw = -0.12423, nw = 1651 130902.0027.ec.fits: ap = 8, w1 = 9550.914, w2 = 9349.356, dw = -0.12216, nw = 1651 130902.0027.ec.fits: ap = 9, w1 = 9394.356, w2 = 9196.106, dw = -0.12015, nw = 1651 130902.0027.ec.fits: ap = 10, w1 = 9242.848, w2 = 9047.8, dw = -0.11821, nw = 1651 130902.0027.ec.fits: ap = 11, w1 = 9096.15, w2 = 8904.201, dw = -0.11633, nw = 1651 130902.0027.ec.fits: ap = 12, w1 = 8954.035, w2 = 8765.089, dw = -0.11451, nw = 1651 130902.0027.ec.fits: ap = 13, w1 = 8816.294, w2 = 8630.258, dw = -0.11275, nw = 1651 130902.0027.ec.fits: ap = 14, w1 = 8682.726, w2 = 8499.512, dw = -0.11104, nw = 1651 130902.0027.ec.fits: ap = 15, w1 = 8553.145, w2 = 8372.668, dw = -0.10938, nw = 1651 130902.0027.ec.fits: ap = 16, w1 = 8427.375, w2 = 8249.555, dw = -0.10777, nw = 1651 130902.0027.ec.fits: ap = 17, w1 = 8305.25, w2 = 8130.01, dw = -0.10621, nw = 1651 130902.0027.ec.fits: ap = 18, w1 = 8186.614, w2 = 8013.881, dw = -0.10469, nw = 1651 130902.0027.ec.fits: ap = 19, w1 = 8071.321, w2 = 7901.023, dw = -0.10321, nw = 1651 130902.0027.ec.fits: ap = 20, w1 = 7959.229, w2 = 7791.299, dw = -0.10178, nw = 1651 130902.0027.ec.fits: ap = 21, w1 = 7850.209, w2 = 7684.582, dw = -0.10038, nw = 1651 130902.0027.ec.fits: ap = 22, w1 = 7744.135, w2 = 7580.748, dw = -0.09902, nw = 1651 130902.0027.ec.fits: ap = 23, w1 = 7640.89, w2 = 7479.684, dw = -0.0977, nw = 1651 130902.0027.ec.fits: ap = 24, w1 = 7540.361, w2 = 7381.279, dw = -0.09641, nw = 1651 130902.0027.ec.fits: ap = 25, w1 = 7442.444, w2 = 7285.43, dw = -0.09516, nw = 1651 130902.0027.ec.fits: ap = 26, w1 = 7347.037, w2 = 7192.038, dw = -0.09394, nw = 1651 130902.0027.ec.fits: ap = 27, w1 = 7254.046, w2 = 7101.011, dw = -0.09275, nw = 1651 130902.0027.ec.fits: ap = 28, w1 = 7163.379, w2 = 7012.259, dw = -0.09159, nw = 1651 130902.0027.ec.fits: ap = 29, w1 = 7074.952, w2 = 6925.699, dw = -0.09046, nw = 1651 130902.0027.ec.fits: ap = 30, w1 = 6988.68, w2 = 6841.25, dw = -0.08935, nw = 1651 130902.0027.ec.fits: ap = 31, w1 = 6904.488, w2 = 6758.836, dw = -0.08827, nw = 1651 130902.0027.ec.fits: ap = 32, w1 = 6822.301, w2 = 6678.385, dw = -0.08722, nw = 1651 130902.0027.ec.fits: ap = 33, w1 = 6742.047, w2 = 6599.826, dw = -0.08619, nw = 1651 130902.0027.ec.fits: ap = 34, w1 = 6663.659, w2 = 6523.094, dw = -0.08519, nw = 1651 130902.0027.ec.fits: ap = 35, w1 = 6587.074, w2 = 6448.126, dw = -0.08421, nw = 1651 130902.0027.ec.fits: ap = 36, w1 = 6512.229, w2 = 6374.863, dw = -0.08325, nw = 1651 130902.0027.ec.fits: ap = 37, w1 = 6439.067, w2 = 6303.245, dw = -0.08232, nw = 1651 130902.0027.ec.fits: ap = 38, w1 = 6367.53, w2 = 6233.219, dw = -0.0814, nw = 1651 130902.0027.ec.fits: ap = 39, w1 = 6297.565, w2 = 6164.732, dw = -0.0805, nw = 1651 130902.0027.ec.fits: ap = 40, w1 = 6229.122, w2 = 6097.735, dw = -0.07963, nw = 1651 130902.0027.ec.fits: ap = 41, w1 = 6162.15, w2 = 6032.178, dw = -0.07877, nw = 1651 130902.0027.ec.fits: ap = 42, w1 = 6096.603, w2 = 5968.016, dw = -0.07793, nw = 1651 130902.0027.ec.fits: ap = 43, w1 = 6032.437, w2 = 5905.205, dw = -0.07711, nw = 1651 130902.0027.ec.fits: ap = 44, w1 = 5969.607, w2 = 5843.702, dw = -0.07631, nw = 1651 130902.0027.ec.fits: ap = 45, w1 = 5908.073, w2 = 5783.468, dw = -0.07552, nw = 1651 130902.0027.ec.fits: ap = 46, w1 = 5847.795, w2 = 5724.463, dw = -0.07475, nw = 1651 130902.0027.ec.fits: ap = 47, w1 = 5788.734, w2 = 5666.65, dw = -0.07399, nw = 1651 130902.0027.ec.fits: ap = 48, w1 = 5730.855, w2 = 5609.994, dw = -0.07325, nw = 1651 130902.0027.ec.fits: ap = 49, w1 = 5674.122, w2 = 5554.459, dw = -0.07252, nw = 1651 130902.0027.ec.fits: ap = 50, w1 = 5618.502, w2 = 5500.014, dw = -0.07181, nw = 1651 130902.0027.ec.fits: ap = 51, w1 = 5563.961, w2 = 5446.626, dw = -0.07111, nw = 1651 130902.0027.ec.fits: ap = 52, w1 = 5510.47, w2 = 5394.265, dw = -0.07043, nw = 1651 130902.0027.ec.fits: ap = 53, w1 = 5457.997, w2 = 5342.901, dw = -0.06976, nw = 1651 130902.0027.ec.fits: ap = 54, w1 = 5406.515, w2 = 5292.506, dw = -0.0691, nw = 1651 130902.0027.ec.fits: ap = 55, w1 = 5355.995, w2 = 5243.054, dw = -0.06845, nw = 1651 130902.0027.ec.fits: ap = 56, w1 = 5306.41, w2 = 5194.517, dw = -0.06781, nw = 1651 130902.0027.ec.fits: ap = 57, w1 = 5257.736, w2 = 5146.871, dw = -0.06719, nw = 1651 130902.0027.ec.fits: ap = 58, w1 = 5209.946, w2 = 5100.092, dw = -0.06658, nw = 1651 130902.0027.ec.fits: ap = 59, w1 = 5163.018, w2 = 5054.155, dw = -0.06598, nw = 1651 130902.0027.ec.fits: ap = 60, w1 = 5116.928, w2 = 5009.039, dw = -0.06539, nw = 1651 130902.0027.ec.fits: ap = 61, w1 = 5071.653, w2 = 4964.721, dw = -0.06481, nw = 1651 130902.0027.ec.fits: ap = 62, w1 = 5027.173, w2 = 4921.182, dw = -0.06424, nw = 1651 130902.0027.ec.fits: ap = 63, w1 = 4983.467, w2 = 4878.399, dw = -0.06368, nw = 1651 130902.0027.ec.fits: ap = 64, w1 = 4940.514, w2 = 4836.354, dw = -0.06313, nw = 1651 130902.0027.ec.fits: ap = 65, w1 = 4898.295, w2 = 4795.028, dw = -0.06259, nw = 1651 130902.0027.ec.fits: ap = 66, w1 = 4856.792, w2 = 4754.402, dw = -0.06205, nw = 1651 130902.0027.ec.fits: ap = 67, w1 = 4815.987, w2 = 4714.46, dw = -0.06153, nw = 1651 130902.0027.ec.fits: ap = 68, w1 = 4775.861, w2 = 4675.183, dw = -0.06102, nw = 1651 130902.0027.ec.fits: ap = 69, w1 = 4736.399, w2 = 4636.555, dw = -0.06051, nw = 1651 130902.0027.ec.fits: ap = 70, w1 = 4697.584, w2 = 4598.561, dw = -0.06001, nw = 1651 130902.0027.ec.fits: ap = 71, w1 = 4659.401, w2 = 4561.184, dw = -0.05953, nw = 1651 130902.0027.ec.fits: ap = 72, w1 = 4621.833, w2 = 4524.411, dw = -0.05904, nw = 1651 130902.0027.ec.fits: ap = 73, w1 = 4584.866, w2 = 4488.225, dw = -0.05857, nw = 1651 130902.0027.ec.fits: ap = 74, w1 = 4548.485, w2 = 4452.615, dw = -0.0581, nw = 1651 130902.0027.ec.fits: ap = 75, w1 = 4512.678, w2 = 4417.565, dw = -0.05764, nw = 1651 130902.0027.ec.fits: ap = 76, w1 = 4477.431, w2 = 4383.063, dw = -0.05719, nw = 1651 130902.0027.ec.fits: ap = 77, w1 = 4442.73, w2 = 4349.095, dw = -0.05675, nw = 1651 130902.0027.ec.fits: ap = 78, w1 = 4408.562, w2 = 4315.651, dw = -0.05631, nw = 1651 130902.0027.ec.fits: ap = 79, w1 = 4374.916, w2 = 4282.717, dw = -0.05588, nw = 1651 130902.0027.ec.fits: ap = 80, w1 = 4341.78, w2 = 4250.282, dw = -0.05545, nw = 1651 130902.0027.ec.fits: ap = 81, w1 = 4309.143, w2 = 4218.334, dw = -0.05504, nw = 1651 130902.0027.ec.fits: ap = 82, w1 = 4276.992, w2 = 4186.864, dw = -0.05462, nw = 1651 130902.0027.ec.fits: ap = 83, w1 = 4245.318, w2 = 4155.859, dw = -0.05422, nw = 1651 130902.0027.ec.fits: ap = 84, w1 = 4214.109, w2 = 4125.311, dw = -0.05382, nw = 1651 130902.0027.ec.fits: ap = 85, w1 = 4183.356, w2 = 4095.209, dw = -0.05342, nw = 1651 130902.0027.ec.fits: ap = 86, w1 = 4153.049, w2 = 4065.542, dw = -0.05303, nw = 1651 130902.0027.ec.fits: ap = 87, w1 = 4123.177, w2 = 4036.303, dw = -0.05265, nw = 1651 130902.0027.ec.fits: ap = 88, w1 = 4093.733, w2 = 4007.481, dw = -0.05227, nw = 1651 130902.0027.ec.fits: ap = 89, w1 = 4064.705, w2 = 3979.068, dw = -0.0519, nw = 1651 130902.0027.ec.fits: ap = 90, w1 = 4036.087, w2 = 3951.056, dw = -0.05153, nw = 1651 130902.0027.ec.fits: ap = 91, w1 = 4007.869, w2 = 3923.434, dw = -0.05117, nw = 1651 130902.0027.ec.fits: ap = 92, w1 = 3980.042, w2 = 3896.197, dw = -0.05082, nw = 1651 130902.0027.ec.fits: ap = 93, w1 = 3952.6, w2 = 3869.335, dw = -0.05046, nw = 1651 130902.0027.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.841, dw = -0.05012, nw = 1651 130902.0027.ec.fits: ap = 95, w1 = 3898.834, w2 = 3816.707, dw = -0.04977, nw = 1651 130902.0027.ec.fits: ap = 96, w1 = 3872.496, w2 = 3790.926, dw = -0.04944, nw = 1651 130902.0027.ec.fits: ap = 97, w1 = 3846.511, w2 = 3765.491, dw = -0.0491, nw = 1651 130902.0027.ec.fits: ap = 98, w1 = 3820.873, w2 = 3740.395, dw = -0.04877, nw = 1651 130902.0027.ec.fits: ap = 99, w1 = 3795.574, w2 = 3715.632, dw = -0.04845, nw = 1651 130902.0027.ec.fits: ap = 100, w1 = 3770.608, w2 = 3691.194, dw = -0.04813, nw = 1651 130902.0027.ec.fits: ap = 101, w1 = 3745.968, w2 = 3667.075, dw = -0.04781, nw = 1651 130902.0027.ec.fits: ap = 102, w1 = 3721.648, w2 = 3643.27, dw = -0.0475, nw = 1651 130902.0027.ec.fits: ap = 103, w1 = 3697.641, w2 = 3619.771, dw = -0.04719, nw = 1651 130902.0027.ec.fits: ap = 104, w1 = 3673.942, w2 = 3596.574, dw = -0.04689, nw = 1651 130902.0027.ec.fits: ap = 105, w1 = 3650.545, w2 = 3573.671, dw = -0.04659, nw = 1651 130902.0027.ec.fits: ap = 106, w1 = 3627.444, w2 = 3551.059, dw = -0.04629, nw = 1651 130902.0027.ec.fits: ap = 107, w1 = 3604.633, w2 = 3528.731, dw = -0.046, nw = 1651 130902.0027.ec.fits: ap = 108, w1 = 3582.107, w2 = 3506.681, dw = -0.04571, nw = 1651 130902.0027.ec.fits: ap = 109, w1 = 3559.86, w2 = 3484.905, dw = -0.04543, nw = 1651 130902.0027.ec.fits: ap = 110, w1 = 3537.888, w2 = 3463.398, dw = -0.04515, nw = 1651 130902.0027.ec.fits: ap = 111, w1 = 3516.186, w2 = 3442.155, dw = -0.04487, nw = 1651 130902.0027.ec.fits: ap = 112, w1 = 3494.747, w2 = 3421.17, dw = -0.04459, nw = 1651 130902.0027.ec.fits: ap = 113, w1 = 3473.569, w2 = 3400.439, dw = -0.04432, nw = 1651 130902.0027.ec.fits: ap = 114, w1 = 3452.645, w2 = 3379.958, dw = -0.04405, nw = 1651 130902.0027.ec.fits: ap = 115, w1 = 3431.972, w2 = 3359.721, dw = -0.04379, nw = 1651 130902.0029.ec.fits: REFSPEC1 = '130902_ThAr.0028.ec 0.72863281' 130902.0029.ec.fits: REFSPEC2 = '130902_ThAr.0031.ec 0.27136716' 130902.0029.ec.fits: ap = 1, w1 = 10812.21, w2 = 10583.99, dw = -0.13832, nw = 1651 130902.0029.ec.fits: ap = 2, w1 = 10612.01, w2 = 10388.02, dw = -0.13575, nw = 1651 130902.0029.ec.fits: ap = 3, w1 = 10419.08, w2 = 10199.17, dw = -0.13328, nw = 1651 130902.0029.ec.fits: ap = 4, w1 = 10233.04, w2 = 10017.07, dw = -0.1309, nw = 1651 130902.0029.ec.fits: ap = 5, w1 = 10053.53, w2 = 9841.351, dw = -0.1286, nw = 1651 130902.0029.ec.fits: ap = 6, w1 = 9880.213, w2 = 9671.694, dw = -0.12638, nw = 1651 130902.0029.ec.fits: ap = 7, w1 = 9712.768, w2 = 9507.787, dw = -0.12423, nw = 1651 130902.0029.ec.fits: ap = 8, w1 = 9550.903, w2 = 9349.344, dw = -0.12216, nw = 1651 130902.0029.ec.fits: ap = 9, w1 = 9394.346, w2 = 9196.094, dw = -0.12015, nw = 1651 130902.0029.ec.fits: ap = 10, w1 = 9242.838, w2 = 9047.788, dw = -0.11821, nw = 1651 130902.0029.ec.fits: ap = 11, w1 = 9096.14, w2 = 8904.19, dw = -0.11633, nw = 1651 130902.0029.ec.fits: ap = 12, w1 = 8954.026, w2 = 8765.079, dw = -0.11451, nw = 1651 130902.0029.ec.fits: ap = 13, w1 = 8816.284, w2 = 8630.247, dw = -0.11275, nw = 1651 130902.0029.ec.fits: ap = 14, w1 = 8682.717, w2 = 8499.502, dw = -0.11104, nw = 1651 130902.0029.ec.fits: ap = 15, w1 = 8553.135, w2 = 8372.658, dw = -0.10938, nw = 1651 130902.0029.ec.fits: ap = 16, w1 = 8427.365, w2 = 8249.545, dw = -0.10777, nw = 1651 130902.0029.ec.fits: ap = 17, w1 = 8305.241, w2 = 8130.001, dw = -0.10621, nw = 1651 130902.0029.ec.fits: ap = 18, w1 = 8186.605, w2 = 8013.871, dw = -0.10469, nw = 1651 130902.0029.ec.fits: ap = 19, w1 = 8071.311, w2 = 7901.013, dw = -0.10321, nw = 1651 130902.0029.ec.fits: ap = 20, w1 = 7959.22, w2 = 7791.29, dw = -0.10178, nw = 1651 130902.0029.ec.fits: ap = 21, w1 = 7850.2, w2 = 7684.572, dw = -0.10038, nw = 1651 130902.0029.ec.fits: ap = 22, w1 = 7744.126, w2 = 7580.739, dw = -0.09902, nw = 1651 130902.0029.ec.fits: ap = 23, w1 = 7640.881, w2 = 7479.675, dw = -0.0977, nw = 1651 130902.0029.ec.fits: ap = 24, w1 = 7540.353, w2 = 7381.27, dw = -0.09641, nw = 1651 130902.0029.ec.fits: ap = 25, w1 = 7442.436, w2 = 7285.421, dw = -0.09516, nw = 1651 130902.0029.ec.fits: ap = 26, w1 = 7347.029, w2 = 7192.03, dw = -0.09394, nw = 1651 130902.0029.ec.fits: ap = 27, w1 = 7254.038, w2 = 7101.003, dw = -0.09275, nw = 1651 130902.0029.ec.fits: ap = 28, w1 = 7163.371, w2 = 7012.251, dw = -0.09159, nw = 1651 130902.0029.ec.fits: ap = 29, w1 = 7074.943, w2 = 6925.691, dw = -0.09046, nw = 1651 130902.0029.ec.fits: ap = 30, w1 = 6988.672, w2 = 6841.242, dw = -0.08935, nw = 1651 130902.0029.ec.fits: ap = 31, w1 = 6904.48, w2 = 6758.828, dw = -0.08827, nw = 1651 130902.0029.ec.fits: ap = 32, w1 = 6822.293, w2 = 6678.376, dw = -0.08722, nw = 1651 130902.0029.ec.fits: ap = 33, w1 = 6742.039, w2 = 6599.818, dw = -0.08619, nw = 1651 130902.0029.ec.fits: ap = 34, w1 = 6663.652, w2 = 6523.086, dw = -0.08519, nw = 1651 130902.0029.ec.fits: ap = 35, w1 = 6587.066, w2 = 6448.118, dw = -0.08421, nw = 1651 130902.0029.ec.fits: ap = 36, w1 = 6512.222, w2 = 6374.854, dw = -0.08325, nw = 1651 130902.0029.ec.fits: ap = 37, w1 = 6439.058, w2 = 6303.236, dw = -0.08232, nw = 1651 130902.0029.ec.fits: ap = 38, w1 = 6367.521, w2 = 6233.21, dw = -0.0814, nw = 1651 130902.0029.ec.fits: ap = 39, w1 = 6297.557, w2 = 6164.723, dw = -0.08051, nw = 1651 130902.0029.ec.fits: ap = 40, w1 = 6229.113, w2 = 6097.726, dw = -0.07963, nw = 1651 130902.0029.ec.fits: ap = 41, w1 = 6162.142, w2 = 6032.169, dw = -0.07877, nw = 1651 130902.0029.ec.fits: ap = 42, w1 = 6096.595, w2 = 5968.007, dw = -0.07793, nw = 1651 130902.0029.ec.fits: ap = 43, w1 = 6032.429, w2 = 5905.196, dw = -0.07711, nw = 1651 130902.0029.ec.fits: ap = 44, w1 = 5969.599, w2 = 5843.693, dw = -0.07631, nw = 1651 130902.0029.ec.fits: ap = 45, w1 = 5908.065, w2 = 5783.459, dw = -0.07552, nw = 1651 130902.0029.ec.fits: ap = 46, w1 = 5847.787, w2 = 5724.454, dw = -0.07475, nw = 1651 130902.0029.ec.fits: ap = 47, w1 = 5788.727, w2 = 5666.641, dw = -0.07399, nw = 1651 130902.0029.ec.fits: ap = 48, w1 = 5730.847, w2 = 5609.985, dw = -0.07325, nw = 1651 130902.0029.ec.fits: ap = 49, w1 = 5674.115, w2 = 5554.45, dw = -0.07252, nw = 1651 130902.0029.ec.fits: ap = 50, w1 = 5618.494, w2 = 5500.005, dw = -0.07181, nw = 1651 130902.0029.ec.fits: ap = 51, w1 = 5563.954, w2 = 5446.617, dw = -0.07111, nw = 1651 130902.0029.ec.fits: ap = 52, w1 = 5510.462, w2 = 5394.256, dw = -0.07043, nw = 1651 130902.0029.ec.fits: ap = 53, w1 = 5457.99, w2 = 5342.892, dw = -0.06976, nw = 1651 130902.0029.ec.fits: ap = 54, w1 = 5406.508, w2 = 5292.497, dw = -0.0691, nw = 1651 130902.0029.ec.fits: ap = 55, w1 = 5355.988, w2 = 5243.045, dw = -0.06845, nw = 1651 130902.0029.ec.fits: ap = 56, w1 = 5306.403, w2 = 5194.508, dw = -0.06782, nw = 1651 130902.0029.ec.fits: ap = 57, w1 = 5257.729, w2 = 5146.862, dw = -0.06719, nw = 1651 130902.0029.ec.fits: ap = 58, w1 = 5209.94, w2 = 5100.084, dw = -0.06658, nw = 1651 130902.0029.ec.fits: ap = 59, w1 = 5163.012, w2 = 5054.147, dw = -0.06598, nw = 1651 130902.0029.ec.fits: ap = 60, w1 = 5116.922, w2 = 5009.031, dw = -0.06539, nw = 1651 130902.0029.ec.fits: ap = 61, w1 = 5071.648, w2 = 4964.714, dw = -0.06481, nw = 1651 130902.0029.ec.fits: ap = 62, w1 = 5027.168, w2 = 4921.174, dw = -0.06424, nw = 1651 130902.0029.ec.fits: ap = 63, w1 = 4983.461, w2 = 4878.391, dw = -0.06368, nw = 1651 130902.0029.ec.fits: ap = 64, w1 = 4940.509, w2 = 4836.346, dw = -0.06313, nw = 1651 130902.0029.ec.fits: ap = 65, w1 = 4898.29, w2 = 4795.02, dw = -0.06259, nw = 1651 130902.0029.ec.fits: ap = 66, w1 = 4856.788, w2 = 4754.395, dw = -0.06206, nw = 1651 130902.0029.ec.fits: ap = 67, w1 = 4815.982, w2 = 4714.452, dw = -0.06153, nw = 1651 130902.0029.ec.fits: ap = 68, w1 = 4775.857, w2 = 4675.176, dw = -0.06102, nw = 1651 130902.0029.ec.fits: ap = 69, w1 = 4736.395, w2 = 4636.548, dw = -0.06051, nw = 1651 130902.0029.ec.fits: ap = 70, w1 = 4697.581, w2 = 4598.554, dw = -0.06002, nw = 1651 130902.0029.ec.fits: ap = 71, w1 = 4659.397, w2 = 4561.178, dw = -0.05953, nw = 1651 130902.0029.ec.fits: ap = 72, w1 = 4621.829, w2 = 4524.404, dw = -0.05905, nw = 1651 130902.0029.ec.fits: ap = 73, w1 = 4584.863, w2 = 4488.219, dw = -0.05857, nw = 1651 130902.0029.ec.fits: ap = 74, w1 = 4548.483, w2 = 4452.609, dw = -0.05811, nw = 1651 130902.0029.ec.fits: ap = 75, w1 = 4512.676, w2 = 4417.559, dw = -0.05765, nw = 1651 130902.0029.ec.fits: ap = 76, w1 = 4477.428, w2 = 4383.057, dw = -0.05719, nw = 1651 130902.0029.ec.fits: ap = 77, w1 = 4442.728, w2 = 4349.09, dw = -0.05675, nw = 1651 130902.0029.ec.fits: ap = 78, w1 = 4408.561, w2 = 4315.645, dw = -0.05631, nw = 1651 130902.0029.ec.fits: ap = 79, w1 = 4374.914, w2 = 4282.711, dw = -0.05588, nw = 1651 130902.0029.ec.fits: ap = 80, w1 = 4341.779, w2 = 4250.276, dw = -0.05546, nw = 1651 130902.0029.ec.fits: ap = 81, w1 = 4309.142, w2 = 4218.329, dw = -0.05504, nw = 1651 130902.0029.ec.fits: ap = 82, w1 = 4276.991, w2 = 4186.859, dw = -0.05463, nw = 1651 130902.0029.ec.fits: ap = 83, w1 = 4245.318, w2 = 4155.855, dw = -0.05422, nw = 1651 130902.0029.ec.fits: ap = 84, w1 = 4214.109, w2 = 4125.307, dw = -0.05382, nw = 1651 130902.0029.ec.fits: ap = 85, w1 = 4183.357, w2 = 4095.205, dw = -0.05343, nw = 1651 130902.0029.ec.fits: ap = 86, w1 = 4153.05, w2 = 4065.539, dw = -0.05304, nw = 1651 130902.0029.ec.fits: ap = 87, w1 = 4123.179, w2 = 4036.3, dw = -0.05265, nw = 1651 130902.0029.ec.fits: ap = 88, w1 = 4093.735, w2 = 4007.479, dw = -0.05228, nw = 1651 130902.0029.ec.fits: ap = 89, w1 = 4064.709, w2 = 3979.066, dw = -0.0519, nw = 1651 130902.0029.ec.fits: ap = 90, w1 = 4036.091, w2 = 3951.054, dw = -0.05154, nw = 1651 130902.0029.ec.fits: ap = 91, w1 = 4007.873, w2 = 3923.432, dw = -0.05118, nw = 1651 130902.0029.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.195, dw = -0.05082, nw = 1651 130902.0029.ec.fits: ap = 93, w1 = 3952.604, w2 = 3869.333, dw = -0.05047, nw = 1651 130902.0029.ec.fits: ap = 94, w1 = 3925.538, w2 = 3842.84, dw = -0.05012, nw = 1651 130902.0029.ec.fits: ap = 95, w1 = 3898.84, w2 = 3816.706, dw = -0.04978, nw = 1651 130902.0029.ec.fits: ap = 96, w1 = 3872.502, w2 = 3790.926, dw = -0.04944, nw = 1651 130902.0029.ec.fits: ap = 97, w1 = 3846.518, w2 = 3765.491, dw = -0.04911, nw = 1651 130902.0029.ec.fits: ap = 98, w1 = 3820.881, w2 = 3740.396, dw = -0.04878, nw = 1651 130902.0029.ec.fits: ap = 99, w1 = 3795.582, w2 = 3715.633, dw = -0.04845, nw = 1651 130902.0029.ec.fits: ap = 100, w1 = 3770.617, w2 = 3691.195, dw = -0.04813, nw = 1651 130902.0029.ec.fits: ap = 101, w1 = 3745.978, w2 = 3667.077, dw = -0.04782, nw = 1651 130902.0029.ec.fits: ap = 102, w1 = 3721.658, w2 = 3643.272, dw = -0.04751, nw = 1651 130902.0029.ec.fits: ap = 103, w1 = 3697.652, w2 = 3619.774, dw = -0.0472, nw = 1651 130902.0029.ec.fits: ap = 104, w1 = 3673.954, w2 = 3596.577, dw = -0.0469, nw = 1651 130902.0029.ec.fits: ap = 105, w1 = 3650.557, w2 = 3573.675, dw = -0.0466, nw = 1651 130902.0029.ec.fits: ap = 106, w1 = 3627.457, w2 = 3551.063, dw = -0.0463, nw = 1651 130902.0029.ec.fits: ap = 107, w1 = 3604.647, w2 = 3528.735, dw = -0.04601, nw = 1651 130902.0029.ec.fits: ap = 108, w1 = 3582.122, w2 = 3506.686, dw = -0.04572, nw = 1651 130902.0029.ec.fits: ap = 109, w1 = 3559.876, w2 = 3484.911, dw = -0.04543, nw = 1651 130902.0029.ec.fits: ap = 110, w1 = 3537.905, w2 = 3463.404, dw = -0.04515, nw = 1651 130902.0029.ec.fits: ap = 111, w1 = 3516.203, w2 = 3442.161, dw = -0.04487, nw = 1651 130902.0029.ec.fits: ap = 112, w1 = 3494.766, w2 = 3421.177, dw = -0.0446, nw = 1651 130902.0029.ec.fits: ap = 113, w1 = 3473.588, w2 = 3400.447, dw = -0.04433, nw = 1651 130902.0029.ec.fits: ap = 114, w1 = 3452.665, w2 = 3379.966, dw = -0.04406, nw = 1651 130902.0029.ec.fits: ap = 115, w1 = 3431.993, w2 = 3359.73, dw = -0.0438, nw = 1651 130902.0030.ec.fits: REFSPEC1 = '130902_ThAr.0028.ec 0.26138684' 130902.0030.ec.fits: REFSPEC2 = '130902_ThAr.0031.ec 0.73861319' 130902.0030.ec.fits: ap = 1, w1 = 10812.2, w2 = 10583.99, dw = -0.13831, nw = 1651 130902.0030.ec.fits: ap = 2, w1 = 10611.99, w2 = 10388.01, dw = -0.13575, nw = 1651 130902.0030.ec.fits: ap = 3, w1 = 10419.07, w2 = 10199.16, dw = -0.13327, nw = 1651 130902.0030.ec.fits: ap = 4, w1 = 10233.03, w2 = 10017.06, dw = -0.13089, nw = 1651 130902.0030.ec.fits: ap = 5, w1 = 10053.52, w2 = 9841.344, dw = -0.12859, nw = 1651 130902.0030.ec.fits: ap = 6, w1 = 9880.201, w2 = 9671.687, dw = -0.12637, nw = 1651 130902.0030.ec.fits: ap = 7, w1 = 9712.756, w2 = 9507.78, dw = -0.12423, nw = 1651 130902.0030.ec.fits: ap = 8, w1 = 9550.892, w2 = 9349.337, dw = -0.12215, nw = 1651 130902.0030.ec.fits: ap = 9, w1 = 9394.335, w2 = 9196.088, dw = -0.12015, nw = 1651 130902.0030.ec.fits: ap = 10, w1 = 9242.828, w2 = 9047.782, dw = -0.11821, nw = 1651 130902.0030.ec.fits: ap = 11, w1 = 9096.13, w2 = 8904.183, dw = -0.11633, nw = 1651 130902.0030.ec.fits: ap = 12, w1 = 8954.016, w2 = 8765.072, dw = -0.11451, nw = 1651 130902.0030.ec.fits: ap = 13, w1 = 8816.275, w2 = 8630.241, dw = -0.11275, nw = 1651 130902.0030.ec.fits: ap = 14, w1 = 8682.707, w2 = 8499.495, dw = -0.11104, nw = 1651 130902.0030.ec.fits: ap = 15, w1 = 8553.126, w2 = 8372.652, dw = -0.10938, nw = 1651 130902.0030.ec.fits: ap = 16, w1 = 8427.357, w2 = 8249.539, dw = -0.10777, nw = 1651 130902.0030.ec.fits: ap = 17, w1 = 8305.232, w2 = 8129.994, dw = -0.1062, nw = 1651 130902.0030.ec.fits: ap = 18, w1 = 8186.597, w2 = 8013.865, dw = -0.10469, nw = 1651 130902.0030.ec.fits: ap = 19, w1 = 8071.303, w2 = 7901.007, dw = -0.10321, nw = 1651 130902.0030.ec.fits: ap = 20, w1 = 7959.212, w2 = 7791.283, dw = -0.10177, nw = 1651 130902.0030.ec.fits: ap = 21, w1 = 7850.192, w2 = 7684.566, dw = -0.10038, nw = 1651 130902.0030.ec.fits: ap = 22, w1 = 7744.118, w2 = 7580.732, dw = -0.09902, nw = 1651 130902.0030.ec.fits: ap = 23, w1 = 7640.873, w2 = 7479.668, dw = -0.0977, nw = 1651 130902.0030.ec.fits: ap = 24, w1 = 7540.344, w2 = 7381.263, dw = -0.09641, nw = 1651 130902.0030.ec.fits: ap = 25, w1 = 7442.427, w2 = 7285.414, dw = -0.09516, nw = 1651 130902.0030.ec.fits: ap = 26, w1 = 7347.02, w2 = 7192.022, dw = -0.09394, nw = 1651 130902.0030.ec.fits: ap = 27, w1 = 7254.029, w2 = 7100.995, dw = -0.09275, nw = 1651 130902.0030.ec.fits: ap = 28, w1 = 7163.362, w2 = 7012.243, dw = -0.09159, nw = 1651 130902.0030.ec.fits: ap = 29, w1 = 7074.935, w2 = 6925.683, dw = -0.09046, nw = 1651 130902.0030.ec.fits: ap = 30, w1 = 6988.664, w2 = 6841.234, dw = -0.08935, nw = 1651 130902.0030.ec.fits: ap = 31, w1 = 6904.471, w2 = 6758.82, dw = -0.08827, nw = 1651 130902.0030.ec.fits: ap = 32, w1 = 6822.284, w2 = 6678.368, dw = -0.08722, nw = 1651 130902.0030.ec.fits: ap = 33, w1 = 6742.03, w2 = 6599.81, dw = -0.08619, nw = 1651 130902.0030.ec.fits: ap = 34, w1 = 6663.643, w2 = 6523.078, dw = -0.08519, nw = 1651 130902.0030.ec.fits: ap = 35, w1 = 6587.057, w2 = 6448.11, dw = -0.08421, nw = 1651 130902.0030.ec.fits: ap = 36, w1 = 6512.213, w2 = 6374.846, dw = -0.08325, nw = 1651 130902.0030.ec.fits: ap = 37, w1 = 6439.05, w2 = 6303.228, dw = -0.08232, nw = 1651 130902.0030.ec.fits: ap = 38, w1 = 6367.513, w2 = 6233.202, dw = -0.0814, nw = 1651 130902.0030.ec.fits: ap = 39, w1 = 6297.549, w2 = 6164.716, dw = -0.0805, nw = 1651 130902.0030.ec.fits: ap = 40, w1 = 6229.105, w2 = 6097.718, dw = -0.07963, nw = 1651 130902.0030.ec.fits: ap = 41, w1 = 6162.134, w2 = 6032.161, dw = -0.07877, nw = 1651 130902.0030.ec.fits: ap = 42, w1 = 6096.587, w2 = 5967.999, dw = -0.07793, nw = 1651 130902.0030.ec.fits: ap = 43, w1 = 6032.421, w2 = 5905.188, dw = -0.07711, nw = 1651 130902.0030.ec.fits: ap = 44, w1 = 5969.591, w2 = 5843.685, dw = -0.07631, nw = 1651 130902.0030.ec.fits: ap = 45, w1 = 5908.057, w2 = 5783.451, dw = -0.07552, nw = 1651 130902.0030.ec.fits: ap = 46, w1 = 5847.779, w2 = 5724.446, dw = -0.07475, nw = 1651 130902.0030.ec.fits: ap = 47, w1 = 5788.719, w2 = 5666.633, dw = -0.07399, nw = 1651 130902.0030.ec.fits: ap = 48, w1 = 5730.84, w2 = 5609.977, dw = -0.07325, nw = 1651 130902.0030.ec.fits: ap = 49, w1 = 5674.107, w2 = 5554.443, dw = -0.07252, nw = 1651 130902.0030.ec.fits: ap = 50, w1 = 5618.487, w2 = 5499.997, dw = -0.07181, nw = 1651 130902.0030.ec.fits: ap = 51, w1 = 5563.947, w2 = 5446.609, dw = -0.07111, nw = 1651 130902.0030.ec.fits: ap = 52, w1 = 5510.455, w2 = 5394.248, dw = -0.07043, nw = 1651 130902.0030.ec.fits: ap = 53, w1 = 5457.983, w2 = 5342.884, dw = -0.06976, nw = 1651 130902.0030.ec.fits: ap = 54, w1 = 5406.501, w2 = 5292.49, dw = -0.0691, nw = 1651 130902.0030.ec.fits: ap = 55, w1 = 5355.981, w2 = 5243.037, dw = -0.06845, nw = 1651 130902.0030.ec.fits: ap = 56, w1 = 5306.397, w2 = 5194.501, dw = -0.06782, nw = 1651 130902.0030.ec.fits: ap = 57, w1 = 5257.723, w2 = 5146.855, dw = -0.06719, nw = 1651 130902.0030.ec.fits: ap = 58, w1 = 5209.934, w2 = 5100.076, dw = -0.06658, nw = 1651 130902.0030.ec.fits: ap = 59, w1 = 5163.006, w2 = 5054.14, dw = -0.06598, nw = 1651 130902.0030.ec.fits: ap = 60, w1 = 5116.916, w2 = 5009.024, dw = -0.06539, nw = 1651 130902.0030.ec.fits: ap = 61, w1 = 5071.642, w2 = 4964.706, dw = -0.06481, nw = 1651 130902.0030.ec.fits: ap = 62, w1 = 5027.162, w2 = 4921.166, dw = -0.06424, nw = 1651 130902.0030.ec.fits: ap = 63, w1 = 4983.456, w2 = 4878.384, dw = -0.06368, nw = 1651 130902.0030.ec.fits: ap = 64, w1 = 4940.504, w2 = 4836.339, dw = -0.06313, nw = 1651 130902.0030.ec.fits: ap = 65, w1 = 4898.285, w2 = 4795.013, dw = -0.06259, nw = 1651 130902.0030.ec.fits: ap = 66, w1 = 4856.783, w2 = 4754.388, dw = -0.06206, nw = 1651 130902.0030.ec.fits: ap = 67, w1 = 4815.978, w2 = 4714.445, dw = -0.06153, nw = 1651 130902.0030.ec.fits: ap = 68, w1 = 4775.853, w2 = 4675.169, dw = -0.06102, nw = 1651 130902.0030.ec.fits: ap = 69, w1 = 4736.391, w2 = 4636.541, dw = -0.06052, nw = 1651 130902.0030.ec.fits: ap = 70, w1 = 4697.577, w2 = 4598.547, dw = -0.06002, nw = 1651 130902.0030.ec.fits: ap = 71, w1 = 4659.393, w2 = 4561.171, dw = -0.05953, nw = 1651 130902.0030.ec.fits: ap = 72, w1 = 4621.826, w2 = 4524.397, dw = -0.05905, nw = 1651 130902.0030.ec.fits: ap = 73, w1 = 4584.859, w2 = 4488.212, dw = -0.05857, nw = 1651 130902.0030.ec.fits: ap = 74, w1 = 4548.48, w2 = 4452.602, dw = -0.05811, nw = 1651 130902.0030.ec.fits: ap = 75, w1 = 4512.673, w2 = 4417.552, dw = -0.05765, nw = 1651 130902.0030.ec.fits: ap = 76, w1 = 4477.426, w2 = 4383.05, dw = -0.0572, nw = 1651 130902.0030.ec.fits: ap = 77, w1 = 4442.725, w2 = 4349.083, dw = -0.05675, nw = 1651 130902.0030.ec.fits: ap = 78, w1 = 4408.558, w2 = 4315.639, dw = -0.05631, nw = 1651 130902.0030.ec.fits: ap = 79, w1 = 4374.913, w2 = 4282.705, dw = -0.05588, nw = 1651 130902.0030.ec.fits: ap = 80, w1 = 4341.777, w2 = 4250.27, dw = -0.05546, nw = 1651 130902.0030.ec.fits: ap = 81, w1 = 4309.14, w2 = 4218.323, dw = -0.05504, nw = 1651 130902.0030.ec.fits: ap = 82, w1 = 4276.99, w2 = 4186.852, dw = -0.05463, nw = 1651 130902.0030.ec.fits: ap = 83, w1 = 4245.316, w2 = 4155.848, dw = -0.05422, nw = 1651 130902.0030.ec.fits: ap = 84, w1 = 4214.108, w2 = 4125.3, dw = -0.05382, nw = 1651 130902.0030.ec.fits: ap = 85, w1 = 4183.355, w2 = 4095.198, dw = -0.05343, nw = 1651 130902.0030.ec.fits: ap = 86, w1 = 4153.049, w2 = 4065.532, dw = -0.05304, nw = 1651 130902.0030.ec.fits: ap = 87, w1 = 4123.178, w2 = 4036.293, dw = -0.05266, nw = 1651 130902.0030.ec.fits: ap = 88, w1 = 4093.733, w2 = 4007.471, dw = -0.05228, nw = 1651 130902.0030.ec.fits: ap = 89, w1 = 4064.707, w2 = 3979.059, dw = -0.05191, nw = 1651 130902.0030.ec.fits: ap = 90, w1 = 4036.089, w2 = 3951.046, dw = -0.05154, nw = 1651 130902.0030.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.425, dw = -0.05118, nw = 1651 130902.0030.ec.fits: ap = 92, w1 = 3980.045, w2 = 3896.187, dw = -0.05082, nw = 1651 130902.0030.ec.fits: ap = 93, w1 = 3952.603, w2 = 3869.325, dw = -0.05047, nw = 1651 130902.0030.ec.fits: ap = 94, w1 = 3925.536, w2 = 3842.831, dw = -0.05012, nw = 1651 130902.0030.ec.fits: ap = 95, w1 = 3898.838, w2 = 3816.698, dw = -0.04978, nw = 1651 130902.0030.ec.fits: ap = 96, w1 = 3872.5, w2 = 3790.917, dw = -0.04944, nw = 1651 130902.0030.ec.fits: ap = 97, w1 = 3846.516, w2 = 3765.482, dw = -0.04911, nw = 1651 130902.0030.ec.fits: ap = 98, w1 = 3820.878, w2 = 3740.386, dw = -0.04878, nw = 1651 130902.0030.ec.fits: ap = 99, w1 = 3795.579, w2 = 3715.623, dw = -0.04846, nw = 1651 130902.0030.ec.fits: ap = 100, w1 = 3770.613, w2 = 3691.185, dw = -0.04814, nw = 1651 130902.0030.ec.fits: ap = 101, w1 = 3745.973, w2 = 3667.066, dw = -0.04782, nw = 1651 130902.0030.ec.fits: ap = 102, w1 = 3721.654, w2 = 3643.261, dw = -0.04751, nw = 1651 130902.0030.ec.fits: ap = 103, w1 = 3697.647, w2 = 3619.762, dw = -0.0472, nw = 1651 130902.0030.ec.fits: ap = 104, w1 = 3673.948, w2 = 3596.565, dw = -0.0469, nw = 1651 130902.0030.ec.fits: ap = 105, w1 = 3650.551, w2 = 3573.662, dw = -0.0466, nw = 1651 130902.0030.ec.fits: ap = 106, w1 = 3627.45, w2 = 3551.05, dw = -0.0463, nw = 1651 130902.0030.ec.fits: ap = 107, w1 = 3604.64, w2 = 3528.721, dw = -0.04601, nw = 1651 130902.0030.ec.fits: ap = 108, w1 = 3582.114, w2 = 3506.672, dw = -0.04572, nw = 1651 130902.0030.ec.fits: ap = 109, w1 = 3559.867, w2 = 3484.896, dw = -0.04544, nw = 1651 130902.0030.ec.fits: ap = 110, w1 = 3537.895, w2 = 3463.388, dw = -0.04516, nw = 1651 130902.0030.ec.fits: ap = 111, w1 = 3516.193, w2 = 3442.145, dw = -0.04488, nw = 1651 130902.0030.ec.fits: ap = 112, w1 = 3494.755, w2 = 3421.16, dw = -0.0446, nw = 1651 130902.0030.ec.fits: ap = 113, w1 = 3473.576, w2 = 3400.429, dw = -0.04433, nw = 1651 130902.0030.ec.fits: ap = 114, w1 = 3452.652, w2 = 3379.947, dw = -0.04406, nw = 1651 130902.0030.ec.fits: ap = 115, w1 = 3431.979, w2 = 3359.71, dw = -0.0438, nw = 1651 130902.0032.ec.fits: REFSPEC1 = '130902_ThAr.0031.ec 0.66238391' 130902.0032.ec.fits: REFSPEC2 = 'ThAr.0040.ec 0.33761612' 130902.0032.ec.fits: ap = 1, w1 = 10812.18, w2 = 10583.98, dw = -0.1383, nw = 1651 130902.0032.ec.fits: ap = 2, w1 = 10611.97, w2 = 10388., dw = -0.13574, nw = 1651 130902.0032.ec.fits: ap = 3, w1 = 10419.05, w2 = 10199.16, dw = -0.13327, nw = 1651 130902.0032.ec.fits: ap = 4, w1 = 10233.01, w2 = 10017.05, dw = -0.13089, nw = 1651 130902.0032.ec.fits: ap = 5, w1 = 10053.5, w2 = 9841.336, dw = -0.12859, nw = 1651 130902.0032.ec.fits: ap = 6, w1 = 9880.186, w2 = 9671.679, dw = -0.12637, nw = 1651 130902.0032.ec.fits: ap = 7, w1 = 9712.741, w2 = 9507.772, dw = -0.12422, nw = 1651 130902.0032.ec.fits: ap = 8, w1 = 9550.878, w2 = 9349.329, dw = -0.12215, nw = 1651 130902.0032.ec.fits: ap = 9, w1 = 9394.321, w2 = 9196.08, dw = -0.12015, nw = 1651 130902.0032.ec.fits: ap = 10, w1 = 9242.814, w2 = 9047.774, dw = -0.11821, nw = 1651 130902.0032.ec.fits: ap = 11, w1 = 9096.117, w2 = 8904.175, dw = -0.11633, nw = 1651 130902.0032.ec.fits: ap = 12, w1 = 8954.003, w2 = 8765.064, dw = -0.11451, nw = 1651 130902.0032.ec.fits: ap = 13, w1 = 8816.263, w2 = 8630.233, dw = -0.11275, nw = 1651 130902.0032.ec.fits: ap = 14, w1 = 8682.695, w2 = 8499.487, dw = -0.11104, nw = 1651 130902.0032.ec.fits: ap = 15, w1 = 8553.114, w2 = 8372.643, dw = -0.10938, nw = 1651 130902.0032.ec.fits: ap = 16, w1 = 8427.345, w2 = 8249.53, dw = -0.10777, nw = 1651 130902.0032.ec.fits: ap = 17, w1 = 8305.22, w2 = 8129.985, dw = -0.1062, nw = 1651 130902.0032.ec.fits: ap = 18, w1 = 8186.586, w2 = 8013.856, dw = -0.10468, nw = 1651 130902.0032.ec.fits: ap = 19, w1 = 8071.293, w2 = 7900.998, dw = -0.10321, nw = 1651 130902.0032.ec.fits: ap = 20, w1 = 7959.202, w2 = 7791.275, dw = -0.10177, nw = 1651 130902.0032.ec.fits: ap = 21, w1 = 7850.182, w2 = 7684.557, dw = -0.10038, nw = 1651 130902.0032.ec.fits: ap = 22, w1 = 7744.108, w2 = 7580.724, dw = -0.09902, nw = 1651 130902.0032.ec.fits: ap = 23, w1 = 7640.863, w2 = 7479.659, dw = -0.0977, nw = 1651 130902.0032.ec.fits: ap = 24, w1 = 7540.335, w2 = 7381.254, dw = -0.09641, nw = 1651 130902.0032.ec.fits: ap = 25, w1 = 7442.418, w2 = 7285.405, dw = -0.09516, nw = 1651 130902.0032.ec.fits: ap = 26, w1 = 7347.011, w2 = 7192.013, dw = -0.09394, nw = 1651 130902.0032.ec.fits: ap = 27, w1 = 7254.02, w2 = 7100.986, dw = -0.09275, nw = 1651 130902.0032.ec.fits: ap = 28, w1 = 7163.354, w2 = 7012.234, dw = -0.09159, nw = 1651 130902.0032.ec.fits: ap = 29, w1 = 7074.926, w2 = 6925.674, dw = -0.09046, nw = 1651 130902.0032.ec.fits: ap = 30, w1 = 6988.655, w2 = 6841.225, dw = -0.08935, nw = 1651 130902.0032.ec.fits: ap = 31, w1 = 6904.463, w2 = 6758.811, dw = -0.08827, nw = 1651 130902.0032.ec.fits: ap = 32, w1 = 6822.275, w2 = 6678.359, dw = -0.08722, nw = 1651 130902.0032.ec.fits: ap = 33, w1 = 6742.022, w2 = 6599.8, dw = -0.0862, nw = 1651 130902.0032.ec.fits: ap = 34, w1 = 6663.635, w2 = 6523.068, dw = -0.08519, nw = 1651 130902.0032.ec.fits: ap = 35, w1 = 6587.05, w2 = 6448.101, dw = -0.08421, nw = 1651 130902.0032.ec.fits: ap = 36, w1 = 6512.205, w2 = 6374.837, dw = -0.08325, nw = 1651 130902.0032.ec.fits: ap = 37, w1 = 6439.043, w2 = 6303.22, dw = -0.08232, nw = 1651 130902.0032.ec.fits: ap = 38, w1 = 6367.506, w2 = 6233.194, dw = -0.0814, nw = 1651 130902.0032.ec.fits: ap = 39, w1 = 6297.542, w2 = 6164.707, dw = -0.08051, nw = 1651 130902.0032.ec.fits: ap = 40, w1 = 6229.099, w2 = 6097.709, dw = -0.07963, nw = 1651 130902.0032.ec.fits: ap = 41, w1 = 6162.127, w2 = 6032.153, dw = -0.07877, nw = 1651 130902.0032.ec.fits: ap = 42, w1 = 6096.581, w2 = 5967.991, dw = -0.07793, nw = 1651 130902.0032.ec.fits: ap = 43, w1 = 6032.415, w2 = 5905.18, dw = -0.07711, nw = 1651 130902.0032.ec.fits: ap = 44, w1 = 5969.585, w2 = 5843.677, dw = -0.07631, nw = 1651 130902.0032.ec.fits: ap = 45, w1 = 5908.051, w2 = 5783.443, dw = -0.07552, nw = 1651 130902.0032.ec.fits: ap = 46, w1 = 5847.773, w2 = 5724.439, dw = -0.07475, nw = 1651 130902.0032.ec.fits: ap = 47, w1 = 5788.713, w2 = 5666.626, dw = -0.07399, nw = 1651 130902.0032.ec.fits: ap = 48, w1 = 5730.834, w2 = 5609.97, dw = -0.07325, nw = 1651 130902.0032.ec.fits: ap = 49, w1 = 5674.102, w2 = 5554.435, dw = -0.07252, nw = 1651 130902.0032.ec.fits: ap = 50, w1 = 5618.481, w2 = 5499.99, dw = -0.07181, nw = 1651 130902.0032.ec.fits: ap = 51, w1 = 5563.941, w2 = 5446.602, dw = -0.07111, nw = 1651 130902.0032.ec.fits: ap = 52, w1 = 5510.45, w2 = 5394.241, dw = -0.07043, nw = 1651 130902.0032.ec.fits: ap = 53, w1 = 5457.978, w2 = 5342.878, dw = -0.06976, nw = 1651 130902.0032.ec.fits: ap = 54, w1 = 5406.496, w2 = 5292.483, dw = -0.0691, nw = 1651 130902.0032.ec.fits: ap = 55, w1 = 5355.976, w2 = 5243.031, dw = -0.06845, nw = 1651 130902.0032.ec.fits: ap = 56, w1 = 5306.392, w2 = 5194.495, dw = -0.06782, nw = 1651 130902.0032.ec.fits: ap = 57, w1 = 5257.717, w2 = 5146.849, dw = -0.06719, nw = 1651 130902.0032.ec.fits: ap = 58, w1 = 5209.928, w2 = 5100.069, dw = -0.06658, nw = 1651 130902.0032.ec.fits: ap = 59, w1 = 5163., w2 = 5054.133, dw = -0.06598, nw = 1651 130902.0032.ec.fits: ap = 60, w1 = 5116.91, w2 = 5009.017, dw = -0.06539, nw = 1651 130902.0032.ec.fits: ap = 61, w1 = 5071.636, w2 = 4964.7, dw = -0.06481, nw = 1651 130902.0032.ec.fits: ap = 62, w1 = 5027.156, w2 = 4921.16, dw = -0.06424, nw = 1651 130902.0032.ec.fits: ap = 63, w1 = 4983.45, w2 = 4878.377, dw = -0.06368, nw = 1651 130902.0032.ec.fits: ap = 64, w1 = 4940.497, w2 = 4836.333, dw = -0.06313, nw = 1651 130902.0032.ec.fits: ap = 65, w1 = 4898.279, w2 = 4795.007, dw = -0.06259, nw = 1651 130902.0032.ec.fits: ap = 66, w1 = 4856.777, w2 = 4754.382, dw = -0.06206, nw = 1651 130902.0032.ec.fits: ap = 67, w1 = 4815.972, w2 = 4714.44, dw = -0.06153, nw = 1651 130902.0032.ec.fits: ap = 68, w1 = 4775.847, w2 = 4675.163, dw = -0.06102, nw = 1651 130902.0032.ec.fits: ap = 69, w1 = 4736.385, w2 = 4636.535, dw = -0.06052, nw = 1651 130902.0032.ec.fits: ap = 70, w1 = 4697.571, w2 = 4598.541, dw = -0.06002, nw = 1651 130902.0032.ec.fits: ap = 71, w1 = 4659.387, w2 = 4561.165, dw = -0.05953, nw = 1651 130902.0032.ec.fits: ap = 72, w1 = 4621.819, w2 = 4524.391, dw = -0.05905, nw = 1651 130902.0032.ec.fits: ap = 73, w1 = 4584.853, w2 = 4488.206, dw = -0.05857, nw = 1651 130902.0032.ec.fits: ap = 74, w1 = 4548.473, w2 = 4452.596, dw = -0.05811, nw = 1651 130902.0032.ec.fits: ap = 75, w1 = 4512.666, w2 = 4417.546, dw = -0.05765, nw = 1651 130902.0032.ec.fits: ap = 76, w1 = 4477.419, w2 = 4383.044, dw = -0.0572, nw = 1651 130902.0032.ec.fits: ap = 77, w1 = 4442.718, w2 = 4349.076, dw = -0.05675, nw = 1651 130902.0032.ec.fits: ap = 78, w1 = 4408.55, w2 = 4315.632, dw = -0.05631, nw = 1651 130902.0032.ec.fits: ap = 79, w1 = 4374.905, w2 = 4282.697, dw = -0.05588, nw = 1651 130902.0032.ec.fits: ap = 80, w1 = 4341.769, w2 = 4250.262, dw = -0.05546, nw = 1651 130902.0032.ec.fits: ap = 81, w1 = 4309.132, w2 = 4218.315, dw = -0.05504, nw = 1651 130902.0032.ec.fits: ap = 82, w1 = 4276.981, w2 = 4186.844, dw = -0.05463, nw = 1651 130902.0032.ec.fits: ap = 83, w1 = 4245.307, w2 = 4155.84, dw = -0.05422, nw = 1651 130902.0032.ec.fits: ap = 84, w1 = 4214.098, w2 = 4125.291, dw = -0.05382, nw = 1651 130902.0032.ec.fits: ap = 85, w1 = 4183.346, w2 = 4095.189, dw = -0.05343, nw = 1651 130902.0032.ec.fits: ap = 86, w1 = 4153.038, w2 = 4065.522, dw = -0.05304, nw = 1651 130902.0032.ec.fits: ap = 87, w1 = 4123.167, w2 = 4036.282, dw = -0.05266, nw = 1651 130902.0032.ec.fits: ap = 88, w1 = 4093.722, w2 = 4007.46, dw = -0.05228, nw = 1651 130902.0032.ec.fits: ap = 89, w1 = 4064.695, w2 = 3979.047, dw = -0.05191, nw = 1651 130902.0032.ec.fits: ap = 90, w1 = 4036.076, w2 = 3951.033, dw = -0.05154, nw = 1651 130902.0032.ec.fits: ap = 91, w1 = 4007.858, w2 = 3923.412, dw = -0.05118, nw = 1651 130902.0032.ec.fits: ap = 92, w1 = 3980.032, w2 = 3896.174, dw = -0.05082, nw = 1651 130902.0032.ec.fits: ap = 93, w1 = 3952.59, w2 = 3869.312, dw = -0.05047, nw = 1651 130902.0032.ec.fits: ap = 94, w1 = 3925.522, w2 = 3842.816, dw = -0.05012, nw = 1651 130902.0032.ec.fits: ap = 95, w1 = 3898.823, w2 = 3816.682, dw = -0.04978, nw = 1651 130902.0032.ec.fits: ap = 96, w1 = 3872.485, w2 = 3790.9, dw = -0.04945, nw = 1651 130902.0032.ec.fits: ap = 97, w1 = 3846.5, w2 = 3765.464, dw = -0.04911, nw = 1651 130902.0032.ec.fits: ap = 98, w1 = 3820.861, w2 = 3740.368, dw = -0.04878, nw = 1651 130902.0032.ec.fits: ap = 99, w1 = 3795.562, w2 = 3715.603, dw = -0.04846, nw = 1651 130902.0032.ec.fits: ap = 100, w1 = 3770.596, w2 = 3691.164, dw = -0.04814, nw = 1651 130902.0032.ec.fits: ap = 101, w1 = 3745.955, w2 = 3667.044, dw = -0.04782, nw = 1651 130902.0032.ec.fits: ap = 102, w1 = 3721.634, w2 = 3643.238, dw = -0.04751, nw = 1651 130902.0032.ec.fits: ap = 103, w1 = 3697.627, w2 = 3619.738, dw = -0.04721, nw = 1651 130902.0032.ec.fits: ap = 104, w1 = 3673.928, w2 = 3596.539, dw = -0.0469, nw = 1651 130902.0032.ec.fits: ap = 105, w1 = 3650.53, w2 = 3573.635, dw = -0.0466, nw = 1651 130902.0032.ec.fits: ap = 106, w1 = 3627.428, w2 = 3551.021, dw = -0.04631, nw = 1651 130902.0032.ec.fits: ap = 107, w1 = 3604.617, w2 = 3528.691, dw = -0.04602, nw = 1651 130902.0032.ec.fits: ap = 108, w1 = 3582.09, w2 = 3506.64, dw = -0.04573, nw = 1651 130902.0032.ec.fits: ap = 109, w1 = 3559.843, w2 = 3484.863, dw = -0.04544, nw = 1651 130902.0032.ec.fits: ap = 110, w1 = 3537.87, w2 = 3463.353, dw = -0.04516, nw = 1651 130902.0032.ec.fits: ap = 111, w1 = 3516.166, w2 = 3442.108, dw = -0.04488, nw = 1651 130902.0032.ec.fits: ap = 112, w1 = 3494.727, w2 = 3421.121, dw = -0.04461, nw = 1651 130902.0032.ec.fits: ap = 113, w1 = 3473.547, w2 = 3400.388, dw = -0.04434, nw = 1651 130902.0032.ec.fits: ap = 114, w1 = 3452.622, w2 = 3379.905, dw = -0.04407, nw = 1651 130902.0032.ec.fits: ap = 115, w1 = 3431.948, w2 = 3359.666, dw = -0.04381, nw = 1651 130902.0041.ec.fits: REFSPEC1 = 'ThAr.0040.ec 0.76920748' 130902.0041.ec.fits: REFSPEC2 = 'ThAr.0044.ec 0.23079251' 130902.0041.ec.fits: ap = 1, w1 = 10812.17, w2 = 10583.98, dw = -0.1383, nw = 1651 130902.0041.ec.fits: ap = 2, w1 = 10611.96, w2 = 10388., dw = -0.13574, nw = 1651 130902.0041.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.15, dw = -0.13326, nw = 1651 130902.0041.ec.fits: ap = 4, w1 = 10233., w2 = 10017.04, dw = -0.13088, nw = 1651 130902.0041.ec.fits: ap = 5, w1 = 10053.49, w2 = 9841.327, dw = -0.12858, nw = 1651 130902.0041.ec.fits: ap = 6, w1 = 9880.169, w2 = 9671.669, dw = -0.12636, nw = 1651 130902.0041.ec.fits: ap = 7, w1 = 9712.725, w2 = 9507.762, dw = -0.12422, nw = 1651 130902.0041.ec.fits: ap = 8, w1 = 9550.86, w2 = 9349.318, dw = -0.12215, nw = 1651 130902.0041.ec.fits: ap = 9, w1 = 9394.303, w2 = 9196.067, dw = -0.12014, nw = 1651 130902.0041.ec.fits: ap = 10, w1 = 9242.795, w2 = 9047.76, dw = -0.1182, nw = 1651 130902.0041.ec.fits: ap = 11, w1 = 9096.097, w2 = 8904.161, dw = -0.11632, nw = 1651 130902.0041.ec.fits: ap = 12, w1 = 8953.984, w2 = 8765.049, dw = -0.11451, nw = 1651 130902.0041.ec.fits: ap = 13, w1 = 8816.242, w2 = 8630.217, dw = -0.11274, nw = 1651 130902.0041.ec.fits: ap = 14, w1 = 8682.676, w2 = 8499.472, dw = -0.11103, nw = 1651 130902.0041.ec.fits: ap = 15, w1 = 8553.096, w2 = 8372.628, dw = -0.10937, nw = 1651 130902.0041.ec.fits: ap = 16, w1 = 8427.326, w2 = 8249.515, dw = -0.10776, nw = 1651 130902.0041.ec.fits: ap = 17, w1 = 8305.202, w2 = 8129.97, dw = -0.1062, nw = 1651 130902.0041.ec.fits: ap = 18, w1 = 8186.568, w2 = 8013.841, dw = -0.10468, nw = 1651 130902.0041.ec.fits: ap = 19, w1 = 8071.275, w2 = 7900.982, dw = -0.10321, nw = 1651 130902.0041.ec.fits: ap = 20, w1 = 7959.184, w2 = 7791.259, dw = -0.10177, nw = 1651 130902.0041.ec.fits: ap = 21, w1 = 7850.165, w2 = 7684.541, dw = -0.10038, nw = 1651 130902.0041.ec.fits: ap = 22, w1 = 7744.092, w2 = 7580.708, dw = -0.09902, nw = 1651 130902.0041.ec.fits: ap = 23, w1 = 7640.847, w2 = 7479.644, dw = -0.0977, nw = 1651 130902.0041.ec.fits: ap = 24, w1 = 7540.319, w2 = 7381.239, dw = -0.09641, nw = 1651 130902.0041.ec.fits: ap = 25, w1 = 7442.403, w2 = 7285.39, dw = -0.09516, nw = 1651 130902.0041.ec.fits: ap = 26, w1 = 7346.997, w2 = 7191.998, dw = -0.09394, nw = 1651 130902.0041.ec.fits: ap = 27, w1 = 7254.006, w2 = 7100.971, dw = -0.09275, nw = 1651 130902.0041.ec.fits: ap = 28, w1 = 7163.341, w2 = 7012.22, dw = -0.09159, nw = 1651 130902.0041.ec.fits: ap = 29, w1 = 7074.914, w2 = 6925.66, dw = -0.09046, nw = 1651 130902.0041.ec.fits: ap = 30, w1 = 6988.643, w2 = 6841.211, dw = -0.08935, nw = 1651 130902.0041.ec.fits: ap = 31, w1 = 6904.452, w2 = 6758.797, dw = -0.08828, nw = 1651 130902.0041.ec.fits: ap = 32, w1 = 6822.265, w2 = 6678.346, dw = -0.08722, nw = 1651 130902.0041.ec.fits: ap = 33, w1 = 6742.012, w2 = 6599.787, dw = -0.0862, nw = 1651 130902.0041.ec.fits: ap = 34, w1 = 6663.625, w2 = 6523.056, dw = -0.08519, nw = 1651 130902.0041.ec.fits: ap = 35, w1 = 6587.04, w2 = 6448.088, dw = -0.08421, nw = 1651 130902.0041.ec.fits: ap = 36, w1 = 6512.196, w2 = 6374.825, dw = -0.08326, nw = 1651 130902.0041.ec.fits: ap = 37, w1 = 6439.034, w2 = 6303.208, dw = -0.08232, nw = 1651 130902.0041.ec.fits: ap = 38, w1 = 6367.498, w2 = 6233.182, dw = -0.0814, nw = 1651 130902.0041.ec.fits: ap = 39, w1 = 6297.534, w2 = 6164.696, dw = -0.08051, nw = 1651 130902.0041.ec.fits: ap = 40, w1 = 6229.091, w2 = 6097.698, dw = -0.07963, nw = 1651 130902.0041.ec.fits: ap = 41, w1 = 6162.12, w2 = 6032.142, dw = -0.07877, nw = 1651 130902.0041.ec.fits: ap = 42, w1 = 6096.574, w2 = 5967.98, dw = -0.07794, nw = 1651 130902.0041.ec.fits: ap = 43, w1 = 6032.408, w2 = 5905.169, dw = -0.07711, nw = 1651 130902.0041.ec.fits: ap = 44, w1 = 5969.579, w2 = 5843.667, dw = -0.07631, nw = 1651 130902.0041.ec.fits: ap = 45, w1 = 5908.045, w2 = 5783.433, dw = -0.07552, nw = 1651 130902.0041.ec.fits: ap = 46, w1 = 5847.767, w2 = 5724.429, dw = -0.07475, nw = 1651 130902.0041.ec.fits: ap = 47, w1 = 5788.707, w2 = 5666.616, dw = -0.07399, nw = 1651 130902.0041.ec.fits: ap = 48, w1 = 5730.828, w2 = 5609.96, dw = -0.07325, nw = 1651 130902.0041.ec.fits: ap = 49, w1 = 5674.096, w2 = 5554.426, dw = -0.07253, nw = 1651 130902.0041.ec.fits: ap = 50, w1 = 5618.475, w2 = 5499.981, dw = -0.07181, nw = 1651 130902.0041.ec.fits: ap = 51, w1 = 5563.935, w2 = 5446.593, dw = -0.07112, nw = 1651 130902.0041.ec.fits: ap = 52, w1 = 5510.444, w2 = 5394.232, dw = -0.07043, nw = 1651 130902.0041.ec.fits: ap = 53, w1 = 5457.972, w2 = 5342.869, dw = -0.06976, nw = 1651 130902.0041.ec.fits: ap = 54, w1 = 5406.49, w2 = 5292.475, dw = -0.0691, nw = 1651 130902.0041.ec.fits: ap = 55, w1 = 5355.97, w2 = 5243.023, dw = -0.06845, nw = 1651 130902.0041.ec.fits: ap = 56, w1 = 5306.386, w2 = 5194.486, dw = -0.06782, nw = 1651 130902.0041.ec.fits: ap = 57, w1 = 5257.711, w2 = 5146.841, dw = -0.06719, nw = 1651 130902.0041.ec.fits: ap = 58, w1 = 5209.922, w2 = 5100.062, dw = -0.06658, nw = 1651 130902.0041.ec.fits: ap = 59, w1 = 5162.994, w2 = 5054.125, dw = -0.06598, nw = 1651 130902.0041.ec.fits: ap = 60, w1 = 5116.903, w2 = 5009.01, dw = -0.06539, nw = 1651 130902.0041.ec.fits: ap = 61, w1 = 5071.629, w2 = 4964.692, dw = -0.06481, nw = 1651 130902.0041.ec.fits: ap = 62, w1 = 5027.149, w2 = 4921.153, dw = -0.06424, nw = 1651 130902.0041.ec.fits: ap = 63, w1 = 4983.442, w2 = 4878.37, dw = -0.06368, nw = 1651 130902.0041.ec.fits: ap = 64, w1 = 4940.49, w2 = 4836.326, dw = -0.06313, nw = 1651 130902.0041.ec.fits: ap = 65, w1 = 4898.271, w2 = 4795., dw = -0.06259, nw = 1651 130902.0041.ec.fits: ap = 66, w1 = 4856.768, w2 = 4754.374, dw = -0.06206, nw = 1651 130902.0041.ec.fits: ap = 67, w1 = 4815.962, w2 = 4714.432, dw = -0.06153, nw = 1651 130902.0041.ec.fits: ap = 68, w1 = 4775.837, w2 = 4675.155, dw = -0.06102, nw = 1651 130902.0041.ec.fits: ap = 69, w1 = 4736.375, w2 = 4636.527, dw = -0.06051, nw = 1651 130902.0041.ec.fits: ap = 70, w1 = 4697.56, w2 = 4598.533, dw = -0.06002, nw = 1651 130902.0041.ec.fits: ap = 71, w1 = 4659.375, w2 = 4561.157, dw = -0.05953, nw = 1651 130902.0041.ec.fits: ap = 72, w1 = 4621.807, w2 = 4524.383, dw = -0.05904, nw = 1651 130902.0041.ec.fits: ap = 73, w1 = 4584.84, w2 = 4488.198, dw = -0.05857, nw = 1651 130902.0041.ec.fits: ap = 74, w1 = 4548.46, w2 = 4452.587, dw = -0.0581, nw = 1651 130902.0041.ec.fits: ap = 75, w1 = 4512.652, w2 = 4417.537, dw = -0.05765, nw = 1651 130902.0041.ec.fits: ap = 76, w1 = 4477.403, w2 = 4383.034, dw = -0.05719, nw = 1651 130902.0041.ec.fits: ap = 77, w1 = 4442.702, w2 = 4349.067, dw = -0.05675, nw = 1651 130902.0041.ec.fits: ap = 78, w1 = 4408.534, w2 = 4315.622, dw = -0.05631, nw = 1651 130902.0041.ec.fits: ap = 79, w1 = 4374.889, w2 = 4282.688, dw = -0.05588, nw = 1651 130902.0041.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.253, dw = -0.05545, nw = 1651 130902.0041.ec.fits: ap = 81, w1 = 4309.114, w2 = 4218.306, dw = -0.05504, nw = 1651 130902.0041.ec.fits: ap = 82, w1 = 4276.963, w2 = 4186.834, dw = -0.05462, nw = 1651 130902.0041.ec.fits: ap = 83, w1 = 4245.288, w2 = 4155.83, dw = -0.05422, nw = 1651 130902.0041.ec.fits: ap = 84, w1 = 4214.079, w2 = 4125.281, dw = -0.05382, nw = 1651 130902.0041.ec.fits: ap = 85, w1 = 4183.325, w2 = 4095.178, dw = -0.05342, nw = 1651 130902.0041.ec.fits: ap = 86, w1 = 4153.017, w2 = 4065.511, dw = -0.05303, nw = 1651 130902.0041.ec.fits: ap = 87, w1 = 4123.145, w2 = 4036.271, dw = -0.05265, nw = 1651 130902.0041.ec.fits: ap = 88, w1 = 4093.7, w2 = 4007.449, dw = -0.05227, nw = 1651 130902.0041.ec.fits: ap = 89, w1 = 4064.672, w2 = 3979.035, dw = -0.0519, nw = 1651 130902.0041.ec.fits: ap = 90, w1 = 4036.053, w2 = 3951.021, dw = -0.05153, nw = 1651 130902.0041.ec.fits: ap = 91, w1 = 4007.834, w2 = 3923.399, dw = -0.05117, nw = 1651 130902.0041.ec.fits: ap = 92, w1 = 3980.006, w2 = 3896.161, dw = -0.05082, nw = 1651 130902.0041.ec.fits: ap = 93, w1 = 3952.563, w2 = 3869.298, dw = -0.05046, nw = 1651 130902.0041.ec.fits: ap = 94, w1 = 3925.495, w2 = 3842.803, dw = -0.05012, nw = 1651 130902.0041.ec.fits: ap = 95, w1 = 3898.796, w2 = 3816.668, dw = -0.04977, nw = 1651 130902.0041.ec.fits: ap = 96, w1 = 3872.457, w2 = 3790.886, dw = -0.04944, nw = 1651 130902.0041.ec.fits: ap = 97, w1 = 3846.471, w2 = 3765.45, dw = -0.0491, nw = 1651 130902.0041.ec.fits: ap = 98, w1 = 3820.832, w2 = 3740.353, dw = -0.04878, nw = 1651 130902.0041.ec.fits: ap = 99, w1 = 3795.532, w2 = 3715.588, dw = -0.04845, nw = 1651 130902.0041.ec.fits: ap = 100, w1 = 3770.565, w2 = 3691.149, dw = -0.04813, nw = 1651 130902.0041.ec.fits: ap = 101, w1 = 3745.924, w2 = 3667.028, dw = -0.04782, nw = 1651 130902.0041.ec.fits: ap = 102, w1 = 3721.602, w2 = 3643.221, dw = -0.0475, nw = 1651 130902.0041.ec.fits: ap = 103, w1 = 3697.595, w2 = 3619.721, dw = -0.0472, nw = 1651 130902.0041.ec.fits: ap = 104, w1 = 3673.895, w2 = 3596.522, dw = -0.04689, nw = 1651 130902.0041.ec.fits: ap = 105, w1 = 3650.496, w2 = 3573.618, dw = -0.04659, nw = 1651 130902.0041.ec.fits: ap = 106, w1 = 3627.394, w2 = 3551.003, dw = -0.0463, nw = 1651 130902.0041.ec.fits: ap = 107, w1 = 3604.582, w2 = 3528.673, dw = -0.04601, nw = 1651 130902.0041.ec.fits: ap = 108, w1 = 3582.055, w2 = 3506.622, dw = -0.04572, nw = 1651 130902.0041.ec.fits: ap = 109, w1 = 3559.807, w2 = 3484.844, dw = -0.04543, nw = 1651 130902.0041.ec.fits: ap = 110, w1 = 3537.834, w2 = 3463.334, dw = -0.04515, nw = 1651 130902.0041.ec.fits: ap = 111, w1 = 3516.13, w2 = 3442.088, dw = -0.04487, nw = 1651 130902.0041.ec.fits: ap = 112, w1 = 3494.69, w2 = 3421.101, dw = -0.0446, nw = 1651 130902.0041.ec.fits: ap = 113, w1 = 3473.51, w2 = 3400.368, dw = -0.04433, nw = 1651 130902.0041.ec.fits: ap = 114, w1 = 3452.585, w2 = 3379.884, dw = -0.04406, nw = 1651 130902.0041.ec.fits: ap = 115, w1 = 3431.91, w2 = 3359.645, dw = -0.0438, nw = 1651 130902.0042.ec.fits: REFSPEC1 = 'ThAr.0040.ec 0.57178092' 130902.0042.ec.fits: REFSPEC2 = 'ThAr.0044.ec 0.42821908' 130902.0042.ec.fits: ap = 1, w1 = 10812.18, w2 = 10583.98, dw = -0.1383, nw = 1651 130902.0042.ec.fits: ap = 2, w1 = 10611.97, w2 = 10388., dw = -0.13574, nw = 1651 130902.0042.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.15, dw = -0.13327, nw = 1651 130902.0042.ec.fits: ap = 4, w1 = 10233., w2 = 10017.04, dw = -0.13088, nw = 1651 130902.0042.ec.fits: ap = 5, w1 = 10053.49, w2 = 9841.327, dw = -0.12858, nw = 1651 130902.0042.ec.fits: ap = 6, w1 = 9880.17, w2 = 9671.668, dw = -0.12637, nw = 1651 130902.0042.ec.fits: ap = 7, w1 = 9712.724, w2 = 9507.76, dw = -0.12422, nw = 1651 130902.0042.ec.fits: ap = 8, w1 = 9550.859, w2 = 9349.315, dw = -0.12215, nw = 1651 130902.0042.ec.fits: ap = 9, w1 = 9394.301, w2 = 9196.064, dw = -0.12014, nw = 1651 130902.0042.ec.fits: ap = 10, w1 = 9242.793, w2 = 9047.757, dw = -0.1182, nw = 1651 130902.0042.ec.fits: ap = 11, w1 = 9096.094, w2 = 8904.157, dw = -0.11633, nw = 1651 130902.0042.ec.fits: ap = 12, w1 = 8953.98, w2 = 8765.045, dw = -0.11451, nw = 1651 130902.0042.ec.fits: ap = 13, w1 = 8816.239, w2 = 8630.213, dw = -0.11274, nw = 1651 130902.0042.ec.fits: ap = 14, w1 = 8682.671, w2 = 8499.467, dw = -0.11103, nw = 1651 130902.0042.ec.fits: ap = 15, w1 = 8553.091, w2 = 8372.623, dw = -0.10937, nw = 1651 130902.0042.ec.fits: ap = 16, w1 = 8427.321, w2 = 8249.51, dw = -0.10776, nw = 1651 130902.0042.ec.fits: ap = 17, w1 = 8305.197, w2 = 8129.965, dw = -0.1062, nw = 1651 130902.0042.ec.fits: ap = 18, w1 = 8186.562, w2 = 8013.836, dw = -0.10468, nw = 1651 130902.0042.ec.fits: ap = 19, w1 = 8071.269, w2 = 7900.978, dw = -0.10321, nw = 1651 130902.0042.ec.fits: ap = 20, w1 = 7959.179, w2 = 7791.254, dw = -0.10177, nw = 1651 130902.0042.ec.fits: ap = 21, w1 = 7850.159, w2 = 7684.537, dw = -0.10038, nw = 1651 130902.0042.ec.fits: ap = 22, w1 = 7744.086, w2 = 7580.703, dw = -0.09902, nw = 1651 130902.0042.ec.fits: ap = 23, w1 = 7640.841, w2 = 7479.639, dw = -0.0977, nw = 1651 130902.0042.ec.fits: ap = 24, w1 = 7540.314, w2 = 7381.234, dw = -0.09641, nw = 1651 130902.0042.ec.fits: ap = 25, w1 = 7442.397, w2 = 7285.385, dw = -0.09516, nw = 1651 130902.0042.ec.fits: ap = 26, w1 = 7346.991, w2 = 7191.994, dw = -0.09394, nw = 1651 130902.0042.ec.fits: ap = 27, w1 = 7254.001, w2 = 7100.967, dw = -0.09275, nw = 1651 130902.0042.ec.fits: ap = 28, w1 = 7163.335, w2 = 7012.216, dw = -0.09159, nw = 1651 130902.0042.ec.fits: ap = 29, w1 = 7074.908, w2 = 6925.656, dw = -0.09046, nw = 1651 130902.0042.ec.fits: ap = 30, w1 = 6988.638, w2 = 6841.207, dw = -0.08935, nw = 1651 130902.0042.ec.fits: ap = 31, w1 = 6904.447, w2 = 6758.793, dw = -0.08827, nw = 1651 130902.0042.ec.fits: ap = 32, w1 = 6822.26, w2 = 6678.342, dw = -0.08722, nw = 1651 130902.0042.ec.fits: ap = 33, w1 = 6742.007, w2 = 6599.784, dw = -0.0862, nw = 1651 130902.0042.ec.fits: ap = 34, w1 = 6663.62, w2 = 6523.052, dw = -0.08519, nw = 1651 130902.0042.ec.fits: ap = 35, w1 = 6587.036, w2 = 6448.085, dw = -0.08421, nw = 1651 130902.0042.ec.fits: ap = 36, w1 = 6512.192, w2 = 6374.821, dw = -0.08325, nw = 1651 130902.0042.ec.fits: ap = 37, w1 = 6439.03, w2 = 6303.204, dw = -0.08232, nw = 1651 130902.0042.ec.fits: ap = 38, w1 = 6367.494, w2 = 6233.179, dw = -0.0814, nw = 1651 130902.0042.ec.fits: ap = 39, w1 = 6297.53, w2 = 6164.693, dw = -0.08051, nw = 1651 130902.0042.ec.fits: ap = 40, w1 = 6229.087, w2 = 6097.695, dw = -0.07963, nw = 1651 130902.0042.ec.fits: ap = 41, w1 = 6162.116, w2 = 6032.139, dw = -0.07877, nw = 1651 130902.0042.ec.fits: ap = 42, w1 = 6096.57, w2 = 5967.977, dw = -0.07794, nw = 1651 130902.0042.ec.fits: ap = 43, w1 = 6032.404, w2 = 5905.166, dw = -0.07711, nw = 1651 130902.0042.ec.fits: ap = 44, w1 = 5969.575, w2 = 5843.664, dw = -0.07631, nw = 1651 130902.0042.ec.fits: ap = 45, w1 = 5908.042, w2 = 5783.43, dw = -0.07552, nw = 1651 130902.0042.ec.fits: ap = 46, w1 = 5847.764, w2 = 5724.426, dw = -0.07475, nw = 1651 130902.0042.ec.fits: ap = 47, w1 = 5788.704, w2 = 5666.613, dw = -0.07399, nw = 1651 130902.0042.ec.fits: ap = 48, w1 = 5730.825, w2 = 5609.957, dw = -0.07325, nw = 1651 130902.0042.ec.fits: ap = 49, w1 = 5674.093, w2 = 5554.423, dw = -0.07253, nw = 1651 130902.0042.ec.fits: ap = 50, w1 = 5618.473, w2 = 5499.978, dw = -0.07181, nw = 1651 130902.0042.ec.fits: ap = 51, w1 = 5563.933, w2 = 5446.59, dw = -0.07112, nw = 1651 130902.0042.ec.fits: ap = 52, w1 = 5510.442, w2 = 5394.229, dw = -0.07043, nw = 1651 130902.0042.ec.fits: ap = 53, w1 = 5457.969, w2 = 5342.866, dw = -0.06976, nw = 1651 130902.0042.ec.fits: ap = 54, w1 = 5406.487, w2 = 5292.472, dw = -0.0691, nw = 1651 130902.0042.ec.fits: ap = 55, w1 = 5355.967, w2 = 5243.02, dw = -0.06845, nw = 1651 130902.0042.ec.fits: ap = 56, w1 = 5306.383, w2 = 5194.483, dw = -0.06782, nw = 1651 130902.0042.ec.fits: ap = 57, w1 = 5257.709, w2 = 5146.838, dw = -0.06719, nw = 1651 130902.0042.ec.fits: ap = 58, w1 = 5209.92, w2 = 5100.058, dw = -0.06658, nw = 1651 130902.0042.ec.fits: ap = 59, w1 = 5162.991, w2 = 5054.122, dw = -0.06598, nw = 1651 130902.0042.ec.fits: ap = 60, w1 = 5116.901, w2 = 5009.006, dw = -0.06539, nw = 1651 130902.0042.ec.fits: ap = 61, w1 = 5071.627, w2 = 4964.689, dw = -0.06481, nw = 1651 130902.0042.ec.fits: ap = 62, w1 = 5027.147, w2 = 4921.149, dw = -0.06424, nw = 1651 130902.0042.ec.fits: ap = 63, w1 = 4983.44, w2 = 4878.367, dw = -0.06368, nw = 1651 130902.0042.ec.fits: ap = 64, w1 = 4940.487, w2 = 4836.322, dw = -0.06313, nw = 1651 130902.0042.ec.fits: ap = 65, w1 = 4898.269, w2 = 4794.996, dw = -0.06259, nw = 1651 130902.0042.ec.fits: ap = 66, w1 = 4856.766, w2 = 4754.371, dw = -0.06206, nw = 1651 130902.0042.ec.fits: ap = 67, w1 = 4815.96, w2 = 4714.428, dw = -0.06153, nw = 1651 130902.0042.ec.fits: ap = 68, w1 = 4775.835, w2 = 4675.151, dw = -0.06102, nw = 1651 130902.0042.ec.fits: ap = 69, w1 = 4736.373, w2 = 4636.524, dw = -0.06051, nw = 1651 130902.0042.ec.fits: ap = 70, w1 = 4697.557, w2 = 4598.53, dw = -0.06002, nw = 1651 130902.0042.ec.fits: ap = 71, w1 = 4659.373, w2 = 4561.153, dw = -0.05953, nw = 1651 130902.0042.ec.fits: ap = 72, w1 = 4621.805, w2 = 4524.38, dw = -0.05905, nw = 1651 130902.0042.ec.fits: ap = 73, w1 = 4584.838, w2 = 4488.195, dw = -0.05857, nw = 1651 130902.0042.ec.fits: ap = 74, w1 = 4548.457, w2 = 4452.584, dw = -0.0581, nw = 1651 130902.0042.ec.fits: ap = 75, w1 = 4512.65, w2 = 4417.534, dw = -0.05765, nw = 1651 130902.0042.ec.fits: ap = 76, w1 = 4477.401, w2 = 4383.032, dw = -0.05719, nw = 1651 130902.0042.ec.fits: ap = 77, w1 = 4442.7, w2 = 4349.065, dw = -0.05675, nw = 1651 130902.0042.ec.fits: ap = 78, w1 = 4408.532, w2 = 4315.62, dw = -0.05631, nw = 1651 130902.0042.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.686, dw = -0.05588, nw = 1651 130902.0042.ec.fits: ap = 80, w1 = 4341.75, w2 = 4250.251, dw = -0.05545, nw = 1651 130902.0042.ec.fits: ap = 81, w1 = 4309.112, w2 = 4218.304, dw = -0.05503, nw = 1651 130902.0042.ec.fits: ap = 82, w1 = 4276.96, w2 = 4186.833, dw = -0.05462, nw = 1651 130902.0042.ec.fits: ap = 83, w1 = 4245.285, w2 = 4155.829, dw = -0.05422, nw = 1651 130902.0042.ec.fits: ap = 84, w1 = 4214.076, w2 = 4125.281, dw = -0.05382, nw = 1651 130902.0042.ec.fits: ap = 85, w1 = 4183.323, w2 = 4095.178, dw = -0.05342, nw = 1651 130902.0042.ec.fits: ap = 86, w1 = 4153.015, w2 = 4065.512, dw = -0.05303, nw = 1651 130902.0042.ec.fits: ap = 87, w1 = 4123.143, w2 = 4036.272, dw = -0.05265, nw = 1651 130902.0042.ec.fits: ap = 88, w1 = 4093.697, w2 = 4007.45, dw = -0.05227, nw = 1651 130902.0042.ec.fits: ap = 89, w1 = 4064.669, w2 = 3979.037, dw = -0.0519, nw = 1651 130902.0042.ec.fits: ap = 90, w1 = 4036.05, w2 = 3951.024, dw = -0.05153, nw = 1651 130902.0042.ec.fits: ap = 91, w1 = 4007.832, w2 = 3923.403, dw = -0.05117, nw = 1651 130902.0042.ec.fits: ap = 92, w1 = 3980.004, w2 = 3896.165, dw = -0.05081, nw = 1651 130902.0042.ec.fits: ap = 93, w1 = 3952.561, w2 = 3869.303, dw = -0.05046, nw = 1651 130902.0042.ec.fits: ap = 94, w1 = 3925.493, w2 = 3842.809, dw = -0.05011, nw = 1651 130902.0042.ec.fits: ap = 95, w1 = 3898.794, w2 = 3816.675, dw = -0.04977, nw = 1651 130902.0042.ec.fits: ap = 96, w1 = 3872.455, w2 = 3790.894, dw = -0.04943, nw = 1651 130902.0042.ec.fits: ap = 97, w1 = 3846.47, w2 = 3765.459, dw = -0.0491, nw = 1651 130902.0042.ec.fits: ap = 98, w1 = 3820.831, w2 = 3740.363, dw = -0.04877, nw = 1651 130902.0042.ec.fits: ap = 99, w1 = 3795.531, w2 = 3715.599, dw = -0.04844, nw = 1651 130902.0042.ec.fits: ap = 100, w1 = 3770.564, w2 = 3691.161, dw = -0.04812, nw = 1651 130902.0042.ec.fits: ap = 101, w1 = 3745.923, w2 = 3667.042, dw = -0.04781, nw = 1651 130902.0042.ec.fits: ap = 102, w1 = 3721.602, w2 = 3643.236, dw = -0.04749, nw = 1651 130902.0042.ec.fits: ap = 103, w1 = 3697.595, w2 = 3619.737, dw = -0.04719, nw = 1651 130902.0042.ec.fits: ap = 104, w1 = 3673.895, w2 = 3596.539, dw = -0.04688, nw = 1651 130902.0042.ec.fits: ap = 105, w1 = 3650.497, w2 = 3573.637, dw = -0.04658, nw = 1651 130902.0042.ec.fits: ap = 106, w1 = 3627.395, w2 = 3551.024, dw = -0.04629, nw = 1651 130902.0042.ec.fits: ap = 107, w1 = 3604.584, w2 = 3528.695, dw = -0.04599, nw = 1651 130902.0042.ec.fits: ap = 108, w1 = 3582.057, w2 = 3506.645, dw = -0.0457, nw = 1651 130902.0042.ec.fits: ap = 109, w1 = 3559.81, w2 = 3484.869, dw = -0.04542, nw = 1651 130902.0042.ec.fits: ap = 110, w1 = 3537.837, w2 = 3463.362, dw = -0.04514, nw = 1651 130902.0042.ec.fits: ap = 111, w1 = 3516.134, w2 = 3442.118, dw = -0.04486, nw = 1651 130902.0042.ec.fits: ap = 112, w1 = 3494.695, w2 = 3421.132, dw = -0.04458, nw = 1651 130902.0042.ec.fits: ap = 113, w1 = 3473.515, w2 = 3400.401, dw = -0.04431, nw = 1651 130902.0042.ec.fits: ap = 114, w1 = 3452.591, w2 = 3379.92, dw = -0.04404, nw = 1651 130902.0042.ec.fits: ap = 115, w1 = 3431.917, w2 = 3359.683, dw = -0.04378, nw = 1651 130902.0043.ec.fits: REFSPEC1 = 'ThAr.0040.ec 0.24440935' 130902.0043.ec.fits: REFSPEC2 = 'ThAr.0044.ec 0.75559062' 130902.0043.ec.fits: ap = 1, w1 = 10812.19, w2 = 10583.98, dw = -0.13831, nw = 1651 130902.0043.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.01, dw = -0.13574, nw = 1651 130902.0043.ec.fits: ap = 3, w1 = 10419.05, w2 = 10199.15, dw = -0.13327, nw = 1651 130902.0043.ec.fits: ap = 4, w1 = 10233.01, w2 = 10017.04, dw = -0.13089, nw = 1651 130902.0043.ec.fits: ap = 5, w1 = 10053.49, w2 = 9841.325, dw = -0.12859, nw = 1651 130902.0043.ec.fits: ap = 6, w1 = 9880.172, w2 = 9671.665, dw = -0.12637, nw = 1651 130902.0043.ec.fits: ap = 7, w1 = 9712.724, w2 = 9507.756, dw = -0.12422, nw = 1651 130902.0043.ec.fits: ap = 8, w1 = 9550.858, w2 = 9349.31, dw = -0.12215, nw = 1651 130902.0043.ec.fits: ap = 9, w1 = 9394.298, w2 = 9196.059, dw = -0.12015, nw = 1651 130902.0043.ec.fits: ap = 10, w1 = 9242.789, w2 = 9047.751, dw = -0.1182, nw = 1651 130902.0043.ec.fits: ap = 11, w1 = 9096.09, w2 = 8904.151, dw = -0.11633, nw = 1651 130902.0043.ec.fits: ap = 12, w1 = 8953.975, w2 = 8765.038, dw = -0.11451, nw = 1651 130902.0043.ec.fits: ap = 13, w1 = 8816.232, w2 = 8630.206, dw = -0.11274, nw = 1651 130902.0043.ec.fits: ap = 14, w1 = 8682.664, w2 = 8499.46, dw = -0.11103, nw = 1651 130902.0043.ec.fits: ap = 15, w1 = 8553.083, w2 = 8372.616, dw = -0.10937, nw = 1651 130902.0043.ec.fits: ap = 16, w1 = 8427.313, w2 = 8249.502, dw = -0.10776, nw = 1651 130902.0043.ec.fits: ap = 17, w1 = 8305.189, w2 = 8129.957, dw = -0.1062, nw = 1651 130902.0043.ec.fits: ap = 18, w1 = 8186.553, w2 = 8013.828, dw = -0.10468, nw = 1651 130902.0043.ec.fits: ap = 19, w1 = 8071.26, w2 = 7900.97, dw = -0.10321, nw = 1651 130902.0043.ec.fits: ap = 20, w1 = 7959.169, w2 = 7791.246, dw = -0.10177, nw = 1651 130902.0043.ec.fits: ap = 21, w1 = 7850.15, w2 = 7684.529, dw = -0.10038, nw = 1651 130902.0043.ec.fits: ap = 22, w1 = 7744.077, w2 = 7580.696, dw = -0.09902, nw = 1651 130902.0043.ec.fits: ap = 23, w1 = 7640.832, w2 = 7479.631, dw = -0.0977, nw = 1651 130902.0043.ec.fits: ap = 24, w1 = 7540.304, w2 = 7381.227, dw = -0.09641, nw = 1651 130902.0043.ec.fits: ap = 25, w1 = 7442.388, w2 = 7285.378, dw = -0.09516, nw = 1651 130902.0043.ec.fits: ap = 26, w1 = 7346.982, w2 = 7191.987, dw = -0.09394, nw = 1651 130902.0043.ec.fits: ap = 27, w1 = 7253.992, w2 = 7100.96, dw = -0.09275, nw = 1651 130902.0043.ec.fits: ap = 28, w1 = 7163.326, w2 = 7012.209, dw = -0.09159, nw = 1651 130902.0043.ec.fits: ap = 29, w1 = 7074.9, w2 = 6925.649, dw = -0.09045, nw = 1651 130902.0043.ec.fits: ap = 30, w1 = 6988.63, w2 = 6841.201, dw = -0.08935, nw = 1651 130902.0043.ec.fits: ap = 31, w1 = 6904.438, w2 = 6758.787, dw = -0.08827, nw = 1651 130902.0043.ec.fits: ap = 32, w1 = 6822.252, w2 = 6678.336, dw = -0.08722, nw = 1651 130902.0043.ec.fits: ap = 33, w1 = 6741.999, w2 = 6599.778, dw = -0.08619, nw = 1651 130902.0043.ec.fits: ap = 34, w1 = 6663.613, w2 = 6523.047, dw = -0.08519, nw = 1651 130902.0043.ec.fits: ap = 35, w1 = 6587.028, w2 = 6448.079, dw = -0.08421, nw = 1651 130902.0043.ec.fits: ap = 36, w1 = 6512.185, w2 = 6374.816, dw = -0.08325, nw = 1651 130902.0043.ec.fits: ap = 37, w1 = 6439.023, w2 = 6303.199, dw = -0.08232, nw = 1651 130902.0043.ec.fits: ap = 38, w1 = 6367.487, w2 = 6233.174, dw = -0.0814, nw = 1651 130902.0043.ec.fits: ap = 39, w1 = 6297.523, w2 = 6164.687, dw = -0.08051, nw = 1651 130902.0043.ec.fits: ap = 40, w1 = 6229.081, w2 = 6097.69, dw = -0.07963, nw = 1651 130902.0043.ec.fits: ap = 41, w1 = 6162.11, w2 = 6032.134, dw = -0.07877, nw = 1651 130902.0043.ec.fits: ap = 42, w1 = 6096.564, w2 = 5967.972, dw = -0.07793, nw = 1651 130902.0043.ec.fits: ap = 43, w1 = 6032.399, w2 = 5905.161, dw = -0.07711, nw = 1651 130902.0043.ec.fits: ap = 44, w1 = 5969.57, w2 = 5843.659, dw = -0.07631, nw = 1651 130902.0043.ec.fits: ap = 45, w1 = 5908.036, w2 = 5783.425, dw = -0.07552, nw = 1651 130902.0043.ec.fits: ap = 46, w1 = 5847.759, w2 = 5724.421, dw = -0.07475, nw = 1651 130902.0043.ec.fits: ap = 47, w1 = 5788.699, w2 = 5666.608, dw = -0.07399, nw = 1651 130902.0043.ec.fits: ap = 48, w1 = 5730.821, w2 = 5609.952, dw = -0.07325, nw = 1651 130902.0043.ec.fits: ap = 49, w1 = 5674.088, w2 = 5554.418, dw = -0.07253, nw = 1651 130902.0043.ec.fits: ap = 50, w1 = 5618.468, w2 = 5499.973, dw = -0.07182, nw = 1651 130902.0043.ec.fits: ap = 51, w1 = 5563.928, w2 = 5446.585, dw = -0.07112, nw = 1651 130902.0043.ec.fits: ap = 52, w1 = 5510.437, w2 = 5394.224, dw = -0.07043, nw = 1651 130902.0043.ec.fits: ap = 53, w1 = 5457.965, w2 = 5342.861, dw = -0.06976, nw = 1651 130902.0043.ec.fits: ap = 54, w1 = 5406.483, w2 = 5292.467, dw = -0.0691, nw = 1651 130902.0043.ec.fits: ap = 55, w1 = 5355.963, w2 = 5243.014, dw = -0.06845, nw = 1651 130902.0043.ec.fits: ap = 56, w1 = 5306.379, w2 = 5194.478, dw = -0.06782, nw = 1651 130902.0043.ec.fits: ap = 57, w1 = 5257.705, w2 = 5146.832, dw = -0.0672, nw = 1651 130902.0043.ec.fits: ap = 58, w1 = 5209.916, w2 = 5100.053, dw = -0.06658, nw = 1651 130902.0043.ec.fits: ap = 59, w1 = 5162.988, w2 = 5054.117, dw = -0.06598, nw = 1651 130902.0043.ec.fits: ap = 60, w1 = 5116.897, w2 = 5009.001, dw = -0.06539, nw = 1651 130902.0043.ec.fits: ap = 61, w1 = 5071.623, w2 = 4964.683, dw = -0.06481, nw = 1651 130902.0043.ec.fits: ap = 62, w1 = 5027.143, w2 = 4921.144, dw = -0.06424, nw = 1651 130902.0043.ec.fits: ap = 63, w1 = 4983.437, w2 = 4878.361, dw = -0.06368, nw = 1651 130902.0043.ec.fits: ap = 64, w1 = 4940.484, w2 = 4836.316, dw = -0.06313, nw = 1651 130902.0043.ec.fits: ap = 65, w1 = 4898.265, w2 = 4794.99, dw = -0.06259, nw = 1651 130902.0043.ec.fits: ap = 66, w1 = 4856.762, w2 = 4754.365, dw = -0.06206, nw = 1651 130902.0043.ec.fits: ap = 67, w1 = 4815.956, w2 = 4714.423, dw = -0.06154, nw = 1651 130902.0043.ec.fits: ap = 68, w1 = 4775.831, w2 = 4675.146, dw = -0.06102, nw = 1651 130902.0043.ec.fits: ap = 69, w1 = 4736.369, w2 = 4636.518, dw = -0.06052, nw = 1651 130902.0043.ec.fits: ap = 70, w1 = 4697.553, w2 = 4598.524, dw = -0.06002, nw = 1651 130902.0043.ec.fits: ap = 71, w1 = 4659.369, w2 = 4561.148, dw = -0.05953, nw = 1651 130902.0043.ec.fits: ap = 72, w1 = 4621.801, w2 = 4524.375, dw = -0.05905, nw = 1651 130902.0043.ec.fits: ap = 73, w1 = 4584.834, w2 = 4488.19, dw = -0.05857, nw = 1651 130902.0043.ec.fits: ap = 74, w1 = 4548.453, w2 = 4452.579, dw = -0.05811, nw = 1651 130902.0043.ec.fits: ap = 75, w1 = 4512.646, w2 = 4417.53, dw = -0.05765, nw = 1651 130902.0043.ec.fits: ap = 76, w1 = 4477.397, w2 = 4383.028, dw = -0.05719, nw = 1651 130902.0043.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.061, dw = -0.05675, nw = 1651 130902.0043.ec.fits: ap = 78, w1 = 4408.528, w2 = 4315.617, dw = -0.05631, nw = 1651 130902.0043.ec.fits: ap = 79, w1 = 4374.882, w2 = 4282.683, dw = -0.05588, nw = 1651 130902.0043.ec.fits: ap = 80, w1 = 4341.745, w2 = 4250.248, dw = -0.05545, nw = 1651 130902.0043.ec.fits: ap = 81, w1 = 4309.107, w2 = 4218.302, dw = -0.05503, nw = 1651 130902.0043.ec.fits: ap = 82, w1 = 4276.956, w2 = 4186.832, dw = -0.05462, nw = 1651 130902.0043.ec.fits: ap = 83, w1 = 4245.281, w2 = 4155.828, dw = -0.05421, nw = 1651 130902.0043.ec.fits: ap = 84, w1 = 4214.072, w2 = 4125.28, dw = -0.05381, nw = 1651 130902.0043.ec.fits: ap = 85, w1 = 4183.319, w2 = 4095.178, dw = -0.05342, nw = 1651 130902.0043.ec.fits: ap = 86, w1 = 4153.011, w2 = 4065.513, dw = -0.05303, nw = 1651 130902.0043.ec.fits: ap = 87, w1 = 4123.139, w2 = 4036.274, dw = -0.05265, nw = 1651 130902.0043.ec.fits: ap = 88, w1 = 4093.693, w2 = 4007.453, dw = -0.05227, nw = 1651 130902.0043.ec.fits: ap = 89, w1 = 4064.666, w2 = 3979.041, dw = -0.05189, nw = 1651 130902.0043.ec.fits: ap = 90, w1 = 4036.047, w2 = 3951.029, dw = -0.05153, nw = 1651 130902.0043.ec.fits: ap = 91, w1 = 4007.828, w2 = 3923.409, dw = -0.05116, nw = 1651 130902.0043.ec.fits: ap = 92, w1 = 3980.001, w2 = 3896.172, dw = -0.05081, nw = 1651 130902.0043.ec.fits: ap = 93, w1 = 3952.558, w2 = 3869.312, dw = -0.05045, nw = 1651 130902.0043.ec.fits: ap = 94, w1 = 3925.491, w2 = 3842.819, dw = -0.0501, nw = 1651 130902.0043.ec.fits: ap = 95, w1 = 3898.792, w2 = 3816.686, dw = -0.04976, nw = 1651 130902.0043.ec.fits: ap = 96, w1 = 3872.453, w2 = 3790.907, dw = -0.04942, nw = 1651 130902.0043.ec.fits: ap = 97, w1 = 3846.468, w2 = 3765.473, dw = -0.04909, nw = 1651 130902.0043.ec.fits: ap = 98, w1 = 3820.829, w2 = 3740.379, dw = -0.04876, nw = 1651 130902.0043.ec.fits: ap = 99, w1 = 3795.53, w2 = 3715.617, dw = -0.04843, nw = 1651 130902.0043.ec.fits: ap = 100, w1 = 3770.563, w2 = 3691.181, dw = -0.04811, nw = 1651 130902.0043.ec.fits: ap = 101, w1 = 3745.923, w2 = 3667.064, dw = -0.04779, nw = 1651 130902.0043.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.26, dw = -0.04748, nw = 1651 130902.0043.ec.fits: ap = 103, w1 = 3697.596, w2 = 3619.764, dw = -0.04717, nw = 1651 130902.0043.ec.fits: ap = 104, w1 = 3673.897, w2 = 3596.568, dw = -0.04687, nw = 1651 130902.0043.ec.fits: ap = 105, w1 = 3650.499, w2 = 3573.668, dw = -0.04656, nw = 1651 130902.0043.ec.fits: ap = 106, w1 = 3627.398, w2 = 3551.058, dw = -0.04627, nw = 1651 130902.0043.ec.fits: ap = 107, w1 = 3604.587, w2 = 3528.732, dw = -0.04597, nw = 1651 130902.0043.ec.fits: ap = 108, w1 = 3582.061, w2 = 3506.685, dw = -0.04568, nw = 1651 130902.0043.ec.fits: ap = 109, w1 = 3559.815, w2 = 3484.912, dw = -0.0454, nw = 1651 130902.0043.ec.fits: ap = 110, w1 = 3537.843, w2 = 3463.407, dw = -0.04511, nw = 1651 130902.0043.ec.fits: ap = 111, w1 = 3516.14, w2 = 3442.166, dw = -0.04483, nw = 1651 130902.0043.ec.fits: ap = 112, w1 = 3494.702, w2 = 3421.185, dw = -0.04456, nw = 1651 130902.0043.ec.fits: ap = 113, w1 = 3473.524, w2 = 3400.457, dw = -0.04428, nw = 1651 130902.0043.ec.fits: ap = 114, w1 = 3452.601, w2 = 3379.979, dw = -0.04401, nw = 1651 130902.0043.ec.fits: ap = 115, w1 = 3431.927, w2 = 3359.746, dw = -0.04375, nw = 1651 130902.0045.ec.fits: REFSPEC1 = 'ThAr.0044.ec 0.81737632' 130902.0045.ec.fits: REFSPEC2 = 'ThAr.0049.ec 0.18262371' 130902.0045.ec.fits: ap = 1, w1 = 10812.19, w2 = 10583.99, dw = -0.1383, nw = 1651 130902.0045.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.01, dw = -0.13574, nw = 1651 130902.0045.ec.fits: ap = 3, w1 = 10419.05, w2 = 10199.16, dw = -0.13327, nw = 1651 130902.0045.ec.fits: ap = 4, w1 = 10233.01, w2 = 10017.05, dw = -0.13088, nw = 1651 130902.0045.ec.fits: ap = 5, w1 = 10053.49, w2 = 9841.325, dw = -0.12859, nw = 1651 130902.0045.ec.fits: ap = 6, w1 = 9880.167, w2 = 9671.663, dw = -0.12637, nw = 1651 130902.0045.ec.fits: ap = 7, w1 = 9712.719, w2 = 9507.753, dw = -0.12422, nw = 1651 130902.0045.ec.fits: ap = 8, w1 = 9550.852, w2 = 9349.305, dw = -0.12215, nw = 1651 130902.0045.ec.fits: ap = 9, w1 = 9394.292, w2 = 9196.053, dw = -0.12014, nw = 1651 130902.0045.ec.fits: ap = 10, w1 = 9242.782, w2 = 9047.745, dw = -0.1182, nw = 1651 130902.0045.ec.fits: ap = 11, w1 = 9096.082, w2 = 8904.143, dw = -0.11633, nw = 1651 130902.0045.ec.fits: ap = 12, w1 = 8953.967, w2 = 8765.03, dw = -0.11451, nw = 1651 130902.0045.ec.fits: ap = 13, w1 = 8816.224, w2 = 8630.198, dw = -0.11274, nw = 1651 130902.0045.ec.fits: ap = 14, w1 = 8682.656, w2 = 8499.451, dw = -0.11103, nw = 1651 130902.0045.ec.fits: ap = 15, w1 = 8553.075, w2 = 8372.607, dw = -0.10937, nw = 1651 130902.0045.ec.fits: ap = 16, w1 = 8427.304, w2 = 8249.493, dw = -0.10776, nw = 1651 130902.0045.ec.fits: ap = 17, w1 = 8305.18, w2 = 8129.948, dw = -0.1062, nw = 1651 130902.0045.ec.fits: ap = 18, w1 = 8186.545, w2 = 8013.819, dw = -0.10468, nw = 1651 130902.0045.ec.fits: ap = 19, w1 = 8071.251, w2 = 7900.96, dw = -0.10321, nw = 1651 130902.0045.ec.fits: ap = 20, w1 = 7959.161, w2 = 7791.237, dw = -0.10177, nw = 1651 130902.0045.ec.fits: ap = 21, w1 = 7850.141, w2 = 7684.52, dw = -0.10038, nw = 1651 130902.0045.ec.fits: ap = 22, w1 = 7744.068, w2 = 7580.687, dw = -0.09902, nw = 1651 130902.0045.ec.fits: ap = 23, w1 = 7640.823, w2 = 7479.623, dw = -0.0977, nw = 1651 130902.0045.ec.fits: ap = 24, w1 = 7540.296, w2 = 7381.218, dw = -0.09641, nw = 1651 130902.0045.ec.fits: ap = 25, w1 = 7442.379, w2 = 7285.369, dw = -0.09516, nw = 1651 130902.0045.ec.fits: ap = 26, w1 = 7346.974, w2 = 7191.979, dw = -0.09394, nw = 1651 130902.0045.ec.fits: ap = 27, w1 = 7253.983, w2 = 7100.952, dw = -0.09275, nw = 1651 130902.0045.ec.fits: ap = 28, w1 = 7163.318, w2 = 7012.201, dw = -0.09159, nw = 1651 130902.0045.ec.fits: ap = 29, w1 = 7074.891, w2 = 6925.641, dw = -0.09045, nw = 1651 130902.0045.ec.fits: ap = 30, w1 = 6988.621, w2 = 6841.193, dw = -0.08935, nw = 1651 130902.0045.ec.fits: ap = 31, w1 = 6904.43, w2 = 6758.78, dw = -0.08827, nw = 1651 130902.0045.ec.fits: ap = 32, w1 = 6822.243, w2 = 6678.329, dw = -0.08722, nw = 1651 130902.0045.ec.fits: ap = 33, w1 = 6741.991, w2 = 6599.771, dw = -0.08619, nw = 1651 130902.0045.ec.fits: ap = 34, w1 = 6663.604, w2 = 6523.04, dw = -0.08519, nw = 1651 130902.0045.ec.fits: ap = 35, w1 = 6587.02, w2 = 6448.072, dw = -0.08421, nw = 1651 130902.0045.ec.fits: ap = 36, w1 = 6512.177, w2 = 6374.81, dw = -0.08325, nw = 1651 130902.0045.ec.fits: ap = 37, w1 = 6439.016, w2 = 6303.193, dw = -0.08232, nw = 1651 130902.0045.ec.fits: ap = 38, w1 = 6367.48, w2 = 6233.168, dw = -0.0814, nw = 1651 130902.0045.ec.fits: ap = 39, w1 = 6297.516, w2 = 6164.682, dw = -0.08051, nw = 1651 130902.0045.ec.fits: ap = 40, w1 = 6229.074, w2 = 6097.685, dw = -0.07963, nw = 1651 130902.0045.ec.fits: ap = 41, w1 = 6162.103, w2 = 6032.128, dw = -0.07877, nw = 1651 130902.0045.ec.fits: ap = 42, w1 = 6096.558, w2 = 5967.967, dw = -0.07793, nw = 1651 130902.0045.ec.fits: ap = 43, w1 = 6032.392, w2 = 5905.156, dw = -0.07711, nw = 1651 130902.0045.ec.fits: ap = 44, w1 = 5969.563, w2 = 5843.654, dw = -0.07631, nw = 1651 130902.0045.ec.fits: ap = 45, w1 = 5908.03, w2 = 5783.42, dw = -0.07552, nw = 1651 130902.0045.ec.fits: ap = 46, w1 = 5847.752, w2 = 5724.416, dw = -0.07475, nw = 1651 130902.0045.ec.fits: ap = 47, w1 = 5788.693, w2 = 5666.603, dw = -0.07399, nw = 1651 130902.0045.ec.fits: ap = 48, w1 = 5730.814, w2 = 5609.947, dw = -0.07325, nw = 1651 130902.0045.ec.fits: ap = 49, w1 = 5674.082, w2 = 5554.413, dw = -0.07253, nw = 1651 130902.0045.ec.fits: ap = 50, w1 = 5618.462, w2 = 5499.968, dw = -0.07181, nw = 1651 130902.0045.ec.fits: ap = 51, w1 = 5563.922, w2 = 5446.58, dw = -0.07112, nw = 1651 130902.0045.ec.fits: ap = 52, w1 = 5510.431, w2 = 5394.219, dw = -0.07043, nw = 1651 130902.0045.ec.fits: ap = 53, w1 = 5457.959, w2 = 5342.856, dw = -0.06976, nw = 1651 130902.0045.ec.fits: ap = 54, w1 = 5406.477, w2 = 5292.461, dw = -0.0691, nw = 1651 130902.0045.ec.fits: ap = 55, w1 = 5355.958, w2 = 5243.009, dw = -0.06845, nw = 1651 130902.0045.ec.fits: ap = 56, w1 = 5306.374, w2 = 5194.473, dw = -0.06782, nw = 1651 130902.0045.ec.fits: ap = 57, w1 = 5257.699, w2 = 5146.827, dw = -0.0672, nw = 1651 130902.0045.ec.fits: ap = 58, w1 = 5209.91, w2 = 5100.048, dw = -0.06658, nw = 1651 130902.0045.ec.fits: ap = 59, w1 = 5162.982, w2 = 5054.111, dw = -0.06598, nw = 1651 130902.0045.ec.fits: ap = 60, w1 = 5116.892, w2 = 5008.995, dw = -0.06539, nw = 1651 130902.0045.ec.fits: ap = 61, w1 = 5071.618, w2 = 4964.678, dw = -0.06481, nw = 1651 130902.0045.ec.fits: ap = 62, w1 = 5027.138, w2 = 4921.138, dw = -0.06424, nw = 1651 130902.0045.ec.fits: ap = 63, w1 = 4983.431, w2 = 4878.355, dw = -0.06368, nw = 1651 130902.0045.ec.fits: ap = 64, w1 = 4940.479, w2 = 4836.311, dw = -0.06313, nw = 1651 130902.0045.ec.fits: ap = 65, w1 = 4898.26, w2 = 4794.985, dw = -0.06259, nw = 1651 130902.0045.ec.fits: ap = 66, w1 = 4856.757, w2 = 4754.359, dw = -0.06206, nw = 1651 130902.0045.ec.fits: ap = 67, w1 = 4815.952, w2 = 4714.417, dw = -0.06154, nw = 1651 130902.0045.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.14, dw = -0.06102, nw = 1651 130902.0045.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.512, dw = -0.06052, nw = 1651 130902.0045.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.518, dw = -0.06002, nw = 1651 130902.0045.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.142, dw = -0.05953, nw = 1651 130902.0045.ec.fits: ap = 72, w1 = 4621.797, w2 = 4524.369, dw = -0.05905, nw = 1651 130902.0045.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.184, dw = -0.05857, nw = 1651 130902.0045.ec.fits: ap = 74, w1 = 4548.45, w2 = 4452.574, dw = -0.05811, nw = 1651 130902.0045.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.524, dw = -0.05765, nw = 1651 130902.0045.ec.fits: ap = 76, w1 = 4477.395, w2 = 4383.022, dw = -0.0572, nw = 1651 130902.0045.ec.fits: ap = 77, w1 = 4442.693, w2 = 4349.056, dw = -0.05675, nw = 1651 130902.0045.ec.fits: ap = 78, w1 = 4408.525, w2 = 4315.611, dw = -0.05631, nw = 1651 130902.0045.ec.fits: ap = 79, w1 = 4374.879, w2 = 4282.678, dw = -0.05588, nw = 1651 130902.0045.ec.fits: ap = 80, w1 = 4341.743, w2 = 4250.243, dw = -0.05545, nw = 1651 130902.0045.ec.fits: ap = 81, w1 = 4309.105, w2 = 4218.297, dw = -0.05504, nw = 1651 130902.0045.ec.fits: ap = 82, w1 = 4276.955, w2 = 4186.828, dw = -0.05462, nw = 1651 130902.0045.ec.fits: ap = 83, w1 = 4245.281, w2 = 4155.825, dw = -0.05422, nw = 1651 130902.0045.ec.fits: ap = 84, w1 = 4214.072, w2 = 4125.278, dw = -0.05381, nw = 1651 130902.0045.ec.fits: ap = 85, w1 = 4183.319, w2 = 4095.176, dw = -0.05342, nw = 1651 130902.0045.ec.fits: ap = 86, w1 = 4153.012, w2 = 4065.512, dw = -0.05303, nw = 1651 130902.0045.ec.fits: ap = 87, w1 = 4123.141, w2 = 4036.274, dw = -0.05265, nw = 1651 130902.0045.ec.fits: ap = 88, w1 = 4093.695, w2 = 4007.453, dw = -0.05227, nw = 1651 130902.0045.ec.fits: ap = 89, w1 = 4064.668, w2 = 3979.042, dw = -0.05189, nw = 1651 130902.0045.ec.fits: ap = 90, w1 = 4036.05, w2 = 3951.031, dw = -0.05153, nw = 1651 130902.0045.ec.fits: ap = 91, w1 = 4007.832, w2 = 3923.412, dw = -0.05116, nw = 1651 130902.0045.ec.fits: ap = 92, w1 = 3980.006, w2 = 3896.176, dw = -0.05081, nw = 1651 130902.0045.ec.fits: ap = 93, w1 = 3952.563, w2 = 3869.316, dw = -0.05045, nw = 1651 130902.0045.ec.fits: ap = 94, w1 = 3925.497, w2 = 3842.824, dw = -0.0501, nw = 1651 130902.0045.ec.fits: ap = 95, w1 = 3898.798, w2 = 3816.693, dw = -0.04976, nw = 1651 130902.0045.ec.fits: ap = 96, w1 = 3872.461, w2 = 3790.915, dw = -0.04942, nw = 1651 130902.0045.ec.fits: ap = 97, w1 = 3846.477, w2 = 3765.483, dw = -0.04909, nw = 1651 130902.0045.ec.fits: ap = 98, w1 = 3820.839, w2 = 3740.39, dw = -0.04876, nw = 1651 130902.0045.ec.fits: ap = 99, w1 = 3795.541, w2 = 3715.63, dw = -0.04843, nw = 1651 130902.0045.ec.fits: ap = 100, w1 = 3770.575, w2 = 3691.195, dw = -0.04811, nw = 1651 130902.0045.ec.fits: ap = 101, w1 = 3745.936, w2 = 3667.08, dw = -0.04779, nw = 1651 130902.0045.ec.fits: ap = 102, w1 = 3721.617, w2 = 3643.278, dw = -0.04748, nw = 1651 130902.0045.ec.fits: ap = 103, w1 = 3697.611, w2 = 3619.784, dw = -0.04717, nw = 1651 130902.0045.ec.fits: ap = 104, w1 = 3673.913, w2 = 3596.59, dw = -0.04686, nw = 1651 130902.0045.ec.fits: ap = 105, w1 = 3650.517, w2 = 3573.692, dw = -0.04656, nw = 1651 130902.0045.ec.fits: ap = 106, w1 = 3627.417, w2 = 3551.085, dw = -0.04626, nw = 1651 130902.0045.ec.fits: ap = 107, w1 = 3604.608, w2 = 3528.761, dw = -0.04597, nw = 1651 130902.0045.ec.fits: ap = 108, w1 = 3582.083, w2 = 3506.717, dw = -0.04568, nw = 1651 130902.0045.ec.fits: ap = 109, w1 = 3559.838, w2 = 3484.946, dw = -0.04539, nw = 1651 130902.0045.ec.fits: ap = 110, w1 = 3537.868, w2 = 3463.444, dw = -0.04511, nw = 1651 130902.0045.ec.fits: ap = 111, w1 = 3516.167, w2 = 3442.206, dw = -0.04482, nw = 1651 130902.0045.ec.fits: ap = 112, w1 = 3494.731, w2 = 3421.228, dw = -0.04455, nw = 1651 130902.0045.ec.fits: ap = 113, w1 = 3473.554, w2 = 3400.503, dw = -0.04427, nw = 1651 130902.0045.ec.fits: ap = 114, w1 = 3452.633, w2 = 3380.028, dw = -0.044, nw = 1651 130902.0045.ec.fits: ap = 115, w1 = 3431.962, w2 = 3359.799, dw = -0.04374, nw = 1651 130902.0046.ec.fits: REFSPEC1 = 'ThAr.0044.ec 0.53356725' 130902.0046.ec.fits: REFSPEC2 = 'ThAr.0049.ec 0.46643272' 130902.0046.ec.fits: ap = 1, w1 = 10812.18, w2 = 10584., dw = -0.13829, nw = 1651 130902.0046.ec.fits: ap = 2, w1 = 10611.97, w2 = 10388.02, dw = -0.13573, nw = 1651 130902.0046.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130902.0046.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130902.0046.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.326, dw = -0.12858, nw = 1651 130902.0046.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.663, dw = -0.12636, nw = 1651 130902.0046.ec.fits: ap = 7, w1 = 9712.711, w2 = 9507.752, dw = -0.12422, nw = 1651 130902.0046.ec.fits: ap = 8, w1 = 9550.845, w2 = 9349.304, dw = -0.12215, nw = 1651 130902.0046.ec.fits: ap = 9, w1 = 9394.285, w2 = 9196.051, dw = -0.12014, nw = 1651 130902.0046.ec.fits: ap = 10, w1 = 9242.776, w2 = 9047.742, dw = -0.1182, nw = 1651 130902.0046.ec.fits: ap = 11, w1 = 9096.077, w2 = 8904.14, dw = -0.11633, nw = 1651 130902.0046.ec.fits: ap = 12, w1 = 8953.962, w2 = 8765.027, dw = -0.11451, nw = 1651 130902.0046.ec.fits: ap = 13, w1 = 8816.22, w2 = 8630.194, dw = -0.11274, nw = 1651 130902.0046.ec.fits: ap = 14, w1 = 8682.652, w2 = 8499.446, dw = -0.11103, nw = 1651 130902.0046.ec.fits: ap = 15, w1 = 8553.071, w2 = 8372.602, dw = -0.10937, nw = 1651 130902.0046.ec.fits: ap = 16, w1 = 8427.301, w2 = 8249.488, dw = -0.10777, nw = 1651 130902.0046.ec.fits: ap = 17, w1 = 8305.177, w2 = 8129.943, dw = -0.1062, nw = 1651 130902.0046.ec.fits: ap = 18, w1 = 8186.542, w2 = 8013.814, dw = -0.10468, nw = 1651 130902.0046.ec.fits: ap = 19, w1 = 8071.249, w2 = 7900.955, dw = -0.10321, nw = 1651 130902.0046.ec.fits: ap = 20, w1 = 7959.158, w2 = 7791.232, dw = -0.10177, nw = 1651 130902.0046.ec.fits: ap = 21, w1 = 7850.138, w2 = 7684.515, dw = -0.10038, nw = 1651 130902.0046.ec.fits: ap = 22, w1 = 7744.065, w2 = 7580.682, dw = -0.09902, nw = 1651 130902.0046.ec.fits: ap = 23, w1 = 7640.821, w2 = 7479.618, dw = -0.0977, nw = 1651 130902.0046.ec.fits: ap = 24, w1 = 7540.293, w2 = 7381.213, dw = -0.09641, nw = 1651 130902.0046.ec.fits: ap = 25, w1 = 7442.377, w2 = 7285.365, dw = -0.09516, nw = 1651 130902.0046.ec.fits: ap = 26, w1 = 7346.971, w2 = 7191.974, dw = -0.09394, nw = 1651 130902.0046.ec.fits: ap = 27, w1 = 7253.981, w2 = 7100.948, dw = -0.09275, nw = 1651 130902.0046.ec.fits: ap = 28, w1 = 7163.315, w2 = 7012.197, dw = -0.09159, nw = 1651 130902.0046.ec.fits: ap = 29, w1 = 7074.889, w2 = 6925.637, dw = -0.09046, nw = 1651 130902.0046.ec.fits: ap = 30, w1 = 6988.619, w2 = 6841.189, dw = -0.08935, nw = 1651 130902.0046.ec.fits: ap = 31, w1 = 6904.427, w2 = 6758.776, dw = -0.08827, nw = 1651 130902.0046.ec.fits: ap = 32, w1 = 6822.241, w2 = 6678.325, dw = -0.08722, nw = 1651 130902.0046.ec.fits: ap = 33, w1 = 6741.988, w2 = 6599.767, dw = -0.08619, nw = 1651 130902.0046.ec.fits: ap = 34, w1 = 6663.602, w2 = 6523.036, dw = -0.08519, nw = 1651 130902.0046.ec.fits: ap = 35, w1 = 6587.017, w2 = 6448.069, dw = -0.08421, nw = 1651 130902.0046.ec.fits: ap = 36, w1 = 6512.174, w2 = 6374.807, dw = -0.08325, nw = 1651 130902.0046.ec.fits: ap = 37, w1 = 6439.013, w2 = 6303.19, dw = -0.08232, nw = 1651 130902.0046.ec.fits: ap = 38, w1 = 6367.477, w2 = 6233.165, dw = -0.0814, nw = 1651 130902.0046.ec.fits: ap = 39, w1 = 6297.513, w2 = 6164.679, dw = -0.08051, nw = 1651 130902.0046.ec.fits: ap = 40, w1 = 6229.07, w2 = 6097.682, dw = -0.07963, nw = 1651 130902.0046.ec.fits: ap = 41, w1 = 6162.1, w2 = 6032.126, dw = -0.07877, nw = 1651 130902.0046.ec.fits: ap = 42, w1 = 6096.554, w2 = 5967.964, dw = -0.07793, nw = 1651 130902.0046.ec.fits: ap = 43, w1 = 6032.388, w2 = 5905.154, dw = -0.07711, nw = 1651 130902.0046.ec.fits: ap = 44, w1 = 5969.559, w2 = 5843.652, dw = -0.07631, nw = 1651 130902.0046.ec.fits: ap = 45, w1 = 5908.026, w2 = 5783.418, dw = -0.07552, nw = 1651 130902.0046.ec.fits: ap = 46, w1 = 5847.748, w2 = 5724.414, dw = -0.07475, nw = 1651 130902.0046.ec.fits: ap = 47, w1 = 5788.689, w2 = 5666.601, dw = -0.07399, nw = 1651 130902.0046.ec.fits: ap = 48, w1 = 5730.81, w2 = 5609.945, dw = -0.07325, nw = 1651 130902.0046.ec.fits: ap = 49, w1 = 5674.078, w2 = 5554.411, dw = -0.07253, nw = 1651 130902.0046.ec.fits: ap = 50, w1 = 5618.458, w2 = 5499.966, dw = -0.07181, nw = 1651 130902.0046.ec.fits: ap = 51, w1 = 5563.918, w2 = 5446.579, dw = -0.07111, nw = 1651 130902.0046.ec.fits: ap = 52, w1 = 5510.427, w2 = 5394.218, dw = -0.07043, nw = 1651 130902.0046.ec.fits: ap = 53, w1 = 5457.955, w2 = 5342.854, dw = -0.06976, nw = 1651 130902.0046.ec.fits: ap = 54, w1 = 5406.473, w2 = 5292.46, dw = -0.0691, nw = 1651 130902.0046.ec.fits: ap = 55, w1 = 5355.953, w2 = 5243.007, dw = -0.06845, nw = 1651 130902.0046.ec.fits: ap = 56, w1 = 5306.369, w2 = 5194.471, dw = -0.06782, nw = 1651 130902.0046.ec.fits: ap = 57, w1 = 5257.695, w2 = 5146.825, dw = -0.06719, nw = 1651 130902.0046.ec.fits: ap = 58, w1 = 5209.906, w2 = 5100.046, dw = -0.06658, nw = 1651 130902.0046.ec.fits: ap = 59, w1 = 5162.978, w2 = 5054.109, dw = -0.06598, nw = 1651 130902.0046.ec.fits: ap = 60, w1 = 5116.888, w2 = 5008.993, dw = -0.06539, nw = 1651 130902.0046.ec.fits: ap = 61, w1 = 5071.614, w2 = 4964.675, dw = -0.06481, nw = 1651 130902.0046.ec.fits: ap = 62, w1 = 5027.134, w2 = 4921.136, dw = -0.06424, nw = 1651 130902.0046.ec.fits: ap = 63, w1 = 4983.428, w2 = 4878.353, dw = -0.06368, nw = 1651 130902.0046.ec.fits: ap = 64, w1 = 4940.475, w2 = 4836.308, dw = -0.06313, nw = 1651 130902.0046.ec.fits: ap = 65, w1 = 4898.257, w2 = 4794.982, dw = -0.06259, nw = 1651 130902.0046.ec.fits: ap = 66, w1 = 4856.754, w2 = 4754.357, dw = -0.06206, nw = 1651 130902.0046.ec.fits: ap = 67, w1 = 4815.949, w2 = 4714.414, dw = -0.06154, nw = 1651 130902.0046.ec.fits: ap = 68, w1 = 4775.824, w2 = 4675.137, dw = -0.06102, nw = 1651 130902.0046.ec.fits: ap = 69, w1 = 4736.362, w2 = 4636.51, dw = -0.06052, nw = 1651 130902.0046.ec.fits: ap = 70, w1 = 4697.547, w2 = 4598.515, dw = -0.06002, nw = 1651 130902.0046.ec.fits: ap = 71, w1 = 4659.363, w2 = 4561.139, dw = -0.05953, nw = 1651 130902.0046.ec.fits: ap = 72, w1 = 4621.795, w2 = 4524.366, dw = -0.05905, nw = 1651 130902.0046.ec.fits: ap = 73, w1 = 4584.829, w2 = 4488.181, dw = -0.05857, nw = 1651 130902.0046.ec.fits: ap = 74, w1 = 4548.449, w2 = 4452.57, dw = -0.05811, nw = 1651 130902.0046.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.521, dw = -0.05765, nw = 1651 130902.0046.ec.fits: ap = 76, w1 = 4477.395, w2 = 4383.019, dw = -0.0572, nw = 1651 130902.0046.ec.fits: ap = 77, w1 = 4442.694, w2 = 4349.052, dw = -0.05675, nw = 1651 130902.0046.ec.fits: ap = 78, w1 = 4408.526, w2 = 4315.608, dw = -0.05631, nw = 1651 130902.0046.ec.fits: ap = 79, w1 = 4374.881, w2 = 4282.674, dw = -0.05588, nw = 1651 130902.0046.ec.fits: ap = 80, w1 = 4341.745, w2 = 4250.24, dw = -0.05546, nw = 1651 130902.0046.ec.fits: ap = 81, w1 = 4309.108, w2 = 4218.294, dw = -0.05504, nw = 1651 130902.0046.ec.fits: ap = 82, w1 = 4276.958, w2 = 4186.824, dw = -0.05463, nw = 1651 130902.0046.ec.fits: ap = 83, w1 = 4245.284, w2 = 4155.821, dw = -0.05422, nw = 1651 130902.0046.ec.fits: ap = 84, w1 = 4214.076, w2 = 4125.274, dw = -0.05382, nw = 1651 130902.0046.ec.fits: ap = 85, w1 = 4183.324, w2 = 4095.173, dw = -0.05343, nw = 1651 130902.0046.ec.fits: ap = 86, w1 = 4153.018, w2 = 4065.508, dw = -0.05304, nw = 1651 130902.0046.ec.fits: ap = 87, w1 = 4123.147, w2 = 4036.27, dw = -0.05265, nw = 1651 130902.0046.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.45, dw = -0.05227, nw = 1651 130902.0046.ec.fits: ap = 89, w1 = 4064.676, w2 = 3979.039, dw = -0.0519, nw = 1651 130902.0046.ec.fits: ap = 90, w1 = 4036.059, w2 = 3951.028, dw = -0.05153, nw = 1651 130902.0046.ec.fits: ap = 91, w1 = 4007.842, w2 = 3923.408, dw = -0.05117, nw = 1651 130902.0046.ec.fits: ap = 92, w1 = 3980.016, w2 = 3896.173, dw = -0.05081, nw = 1651 130902.0046.ec.fits: ap = 93, w1 = 3952.575, w2 = 3869.313, dw = -0.05046, nw = 1651 130902.0046.ec.fits: ap = 94, w1 = 3925.509, w2 = 3842.822, dw = -0.05011, nw = 1651 130902.0046.ec.fits: ap = 95, w1 = 3898.812, w2 = 3816.691, dw = -0.04977, nw = 1651 130902.0046.ec.fits: ap = 96, w1 = 3872.475, w2 = 3790.913, dw = -0.04943, nw = 1651 130902.0046.ec.fits: ap = 97, w1 = 3846.492, w2 = 3765.481, dw = -0.0491, nw = 1651 130902.0046.ec.fits: ap = 98, w1 = 3820.856, w2 = 3740.389, dw = -0.04877, nw = 1651 130902.0046.ec.fits: ap = 99, w1 = 3795.558, w2 = 3715.629, dw = -0.04844, nw = 1651 130902.0046.ec.fits: ap = 100, w1 = 3770.594, w2 = 3691.195, dw = -0.04812, nw = 1651 130902.0046.ec.fits: ap = 101, w1 = 3745.956, w2 = 3667.08, dw = -0.0478, nw = 1651 130902.0046.ec.fits: ap = 102, w1 = 3721.638, w2 = 3643.278, dw = -0.04749, nw = 1651 130902.0046.ec.fits: ap = 103, w1 = 3697.634, w2 = 3619.784, dw = -0.04718, nw = 1651 130902.0046.ec.fits: ap = 104, w1 = 3673.937, w2 = 3596.591, dw = -0.04688, nw = 1651 130902.0046.ec.fits: ap = 105, w1 = 3650.543, w2 = 3573.694, dw = -0.04657, nw = 1651 130902.0046.ec.fits: ap = 106, w1 = 3627.444, w2 = 3551.087, dw = -0.04628, nw = 1651 130902.0046.ec.fits: ap = 107, w1 = 3604.636, w2 = 3528.764, dw = -0.04598, nw = 1651 130902.0046.ec.fits: ap = 108, w1 = 3582.113, w2 = 3506.72, dw = -0.04569, nw = 1651 130902.0046.ec.fits: ap = 109, w1 = 3559.87, w2 = 3484.95, dw = -0.04541, nw = 1651 130902.0046.ec.fits: ap = 110, w1 = 3537.901, w2 = 3463.449, dw = -0.04512, nw = 1651 130902.0046.ec.fits: ap = 111, w1 = 3516.202, w2 = 3442.212, dw = -0.04484, nw = 1651 130902.0046.ec.fits: ap = 112, w1 = 3494.767, w2 = 3421.234, dw = -0.04457, nw = 1651 130902.0046.ec.fits: ap = 113, w1 = 3473.592, w2 = 3400.511, dw = -0.04429, nw = 1651 130902.0046.ec.fits: ap = 114, w1 = 3452.672, w2 = 3380.037, dw = -0.04402, nw = 1651 130902.0046.ec.fits: ap = 115, w1 = 3432.003, w2 = 3359.808, dw = -0.04375, nw = 1651 130902.0048.ec.fits: REFSPEC1 = 'ThAr.0044.ec 0.2050826' 130902.0048.ec.fits: REFSPEC2 = 'ThAr.0049.ec 0.7949174' 130902.0048.ec.fits: ap = 1, w1 = 10812.16, w2 = 10584.01, dw = -0.13828, nw = 1651 130902.0048.ec.fits: ap = 2, w1 = 10611.95, w2 = 10388.02, dw = -0.13572, nw = 1651 130902.0048.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.16, dw = -0.13325, nw = 1651 130902.0048.ec.fits: ap = 4, w1 = 10232.98, w2 = 10017.05, dw = -0.13087, nw = 1651 130902.0048.ec.fits: ap = 5, w1 = 10053.47, w2 = 9841.327, dw = -0.12857, nw = 1651 130902.0048.ec.fits: ap = 6, w1 = 9880.149, w2 = 9671.663, dw = -0.12636, nw = 1651 130902.0048.ec.fits: ap = 7, w1 = 9712.702, w2 = 9507.751, dw = -0.12421, nw = 1651 130902.0048.ec.fits: ap = 8, w1 = 9550.837, w2 = 9349.302, dw = -0.12214, nw = 1651 130902.0048.ec.fits: ap = 9, w1 = 9394.278, w2 = 9196.048, dw = -0.12014, nw = 1651 130902.0048.ec.fits: ap = 10, w1 = 9242.77, w2 = 9047.738, dw = -0.1182, nw = 1651 130902.0048.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.136, dw = -0.11632, nw = 1651 130902.0048.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.022, dw = -0.11451, nw = 1651 130902.0048.ec.fits: ap = 13, w1 = 8816.215, w2 = 8630.189, dw = -0.11274, nw = 1651 130902.0048.ec.fits: ap = 14, w1 = 8682.647, w2 = 8499.441, dw = -0.11103, nw = 1651 130902.0048.ec.fits: ap = 15, w1 = 8553.066, w2 = 8372.597, dw = -0.10938, nw = 1651 130902.0048.ec.fits: ap = 16, w1 = 8427.297, w2 = 8249.483, dw = -0.10777, nw = 1651 130902.0048.ec.fits: ap = 17, w1 = 8305.173, w2 = 8129.938, dw = -0.1062, nw = 1651 130902.0048.ec.fits: ap = 18, w1 = 8186.538, w2 = 8013.808, dw = -0.10468, nw = 1651 130902.0048.ec.fits: ap = 19, w1 = 8071.245, w2 = 7900.95, dw = -0.10321, nw = 1651 130902.0048.ec.fits: ap = 20, w1 = 7959.155, w2 = 7791.226, dw = -0.10177, nw = 1651 130902.0048.ec.fits: ap = 21, w1 = 7850.135, w2 = 7684.509, dw = -0.10038, nw = 1651 130902.0048.ec.fits: ap = 22, w1 = 7744.062, w2 = 7580.676, dw = -0.09902, nw = 1651 130902.0048.ec.fits: ap = 23, w1 = 7640.818, w2 = 7479.612, dw = -0.0977, nw = 1651 130902.0048.ec.fits: ap = 24, w1 = 7540.29, w2 = 7381.208, dw = -0.09641, nw = 1651 130902.0048.ec.fits: ap = 25, w1 = 7442.374, w2 = 7285.359, dw = -0.09516, nw = 1651 130902.0048.ec.fits: ap = 26, w1 = 7346.968, w2 = 7191.969, dw = -0.09394, nw = 1651 130902.0048.ec.fits: ap = 27, w1 = 7253.978, w2 = 7100.942, dw = -0.09275, nw = 1651 130902.0048.ec.fits: ap = 28, w1 = 7163.313, w2 = 7012.192, dw = -0.09159, nw = 1651 130902.0048.ec.fits: ap = 29, w1 = 7074.886, w2 = 6925.633, dw = -0.09046, nw = 1651 130902.0048.ec.fits: ap = 30, w1 = 6988.616, w2 = 6841.185, dw = -0.08935, nw = 1651 130902.0048.ec.fits: ap = 31, w1 = 6904.425, w2 = 6758.772, dw = -0.08827, nw = 1651 130902.0048.ec.fits: ap = 32, w1 = 6822.238, w2 = 6678.321, dw = -0.08722, nw = 1651 130902.0048.ec.fits: ap = 33, w1 = 6741.985, w2 = 6599.763, dw = -0.08619, nw = 1651 130902.0048.ec.fits: ap = 34, w1 = 6663.599, w2 = 6523.033, dw = -0.08519, nw = 1651 130902.0048.ec.fits: ap = 35, w1 = 6587.014, w2 = 6448.066, dw = -0.08421, nw = 1651 130902.0048.ec.fits: ap = 36, w1 = 6512.171, w2 = 6374.803, dw = -0.08325, nw = 1651 130902.0048.ec.fits: ap = 37, w1 = 6439.009, w2 = 6303.187, dw = -0.08232, nw = 1651 130902.0048.ec.fits: ap = 38, w1 = 6367.473, w2 = 6233.162, dw = -0.0814, nw = 1651 130902.0048.ec.fits: ap = 39, w1 = 6297.509, w2 = 6164.676, dw = -0.0805, nw = 1651 130902.0048.ec.fits: ap = 40, w1 = 6229.066, w2 = 6097.679, dw = -0.07963, nw = 1651 130902.0048.ec.fits: ap = 41, w1 = 6162.096, w2 = 6032.123, dw = -0.07877, nw = 1651 130902.0048.ec.fits: ap = 42, w1 = 6096.55, w2 = 5967.962, dw = -0.07793, nw = 1651 130902.0048.ec.fits: ap = 43, w1 = 6032.384, w2 = 5905.151, dw = -0.07711, nw = 1651 130902.0048.ec.fits: ap = 44, w1 = 5969.555, w2 = 5843.649, dw = -0.07631, nw = 1651 130902.0048.ec.fits: ap = 45, w1 = 5908.021, w2 = 5783.416, dw = -0.07552, nw = 1651 130902.0048.ec.fits: ap = 46, w1 = 5847.744, w2 = 5724.411, dw = -0.07475, nw = 1651 130902.0048.ec.fits: ap = 47, w1 = 5788.684, w2 = 5666.599, dw = -0.07399, nw = 1651 130902.0048.ec.fits: ap = 48, w1 = 5730.805, w2 = 5609.943, dw = -0.07325, nw = 1651 130902.0048.ec.fits: ap = 49, w1 = 5674.073, w2 = 5554.409, dw = -0.07252, nw = 1651 130902.0048.ec.fits: ap = 50, w1 = 5618.453, w2 = 5499.964, dw = -0.07181, nw = 1651 130902.0048.ec.fits: ap = 51, w1 = 5563.913, w2 = 5446.576, dw = -0.07111, nw = 1651 130902.0048.ec.fits: ap = 52, w1 = 5510.422, w2 = 5394.215, dw = -0.07043, nw = 1651 130902.0048.ec.fits: ap = 53, w1 = 5457.95, w2 = 5342.852, dw = -0.06976, nw = 1651 130902.0048.ec.fits: ap = 54, w1 = 5406.468, w2 = 5292.457, dw = -0.0691, nw = 1651 130902.0048.ec.fits: ap = 55, w1 = 5355.948, w2 = 5243.005, dw = -0.06845, nw = 1651 130902.0048.ec.fits: ap = 56, w1 = 5306.364, w2 = 5194.469, dw = -0.06782, nw = 1651 130902.0048.ec.fits: ap = 57, w1 = 5257.69, w2 = 5146.823, dw = -0.06719, nw = 1651 130902.0048.ec.fits: ap = 58, w1 = 5209.901, w2 = 5100.043, dw = -0.06658, nw = 1651 130902.0048.ec.fits: ap = 59, w1 = 5162.973, w2 = 5054.107, dw = -0.06598, nw = 1651 130902.0048.ec.fits: ap = 60, w1 = 5116.883, w2 = 5008.991, dw = -0.06539, nw = 1651 130902.0048.ec.fits: ap = 61, w1 = 5071.609, w2 = 4964.673, dw = -0.06481, nw = 1651 130902.0048.ec.fits: ap = 62, w1 = 5027.13, w2 = 4921.133, dw = -0.06424, nw = 1651 130902.0048.ec.fits: ap = 63, w1 = 4983.423, w2 = 4878.35, dw = -0.06368, nw = 1651 130902.0048.ec.fits: ap = 64, w1 = 4940.471, w2 = 4836.305, dw = -0.06313, nw = 1651 130902.0048.ec.fits: ap = 65, w1 = 4898.253, w2 = 4794.979, dw = -0.06259, nw = 1651 130902.0048.ec.fits: ap = 66, w1 = 4856.75, w2 = 4754.354, dw = -0.06206, nw = 1651 130902.0048.ec.fits: ap = 67, w1 = 4815.945, w2 = 4714.411, dw = -0.06154, nw = 1651 130902.0048.ec.fits: ap = 68, w1 = 4775.821, w2 = 4675.134, dw = -0.06102, nw = 1651 130902.0048.ec.fits: ap = 69, w1 = 4736.359, w2 = 4636.506, dw = -0.06052, nw = 1651 130902.0048.ec.fits: ap = 70, w1 = 4697.545, w2 = 4598.512, dw = -0.06002, nw = 1651 130902.0048.ec.fits: ap = 71, w1 = 4659.361, w2 = 4561.136, dw = -0.05953, nw = 1651 130902.0048.ec.fits: ap = 72, w1 = 4621.794, w2 = 4524.362, dw = -0.05905, nw = 1651 130902.0048.ec.fits: ap = 73, w1 = 4584.828, w2 = 4488.177, dw = -0.05858, nw = 1651 130902.0048.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.567, dw = -0.05811, nw = 1651 130902.0048.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.517, dw = -0.05765, nw = 1651 130902.0048.ec.fits: ap = 76, w1 = 4477.395, w2 = 4383.015, dw = -0.0572, nw = 1651 130902.0048.ec.fits: ap = 77, w1 = 4442.694, w2 = 4349.048, dw = -0.05676, nw = 1651 130902.0048.ec.fits: ap = 78, w1 = 4408.528, w2 = 4315.604, dw = -0.05632, nw = 1651 130902.0048.ec.fits: ap = 79, w1 = 4374.883, w2 = 4282.67, dw = -0.05589, nw = 1651 130902.0048.ec.fits: ap = 80, w1 = 4341.748, w2 = 4250.236, dw = -0.05546, nw = 1651 130902.0048.ec.fits: ap = 81, w1 = 4309.111, w2 = 4218.29, dw = -0.05504, nw = 1651 130902.0048.ec.fits: ap = 82, w1 = 4276.962, w2 = 4186.82, dw = -0.05463, nw = 1651 130902.0048.ec.fits: ap = 83, w1 = 4245.289, w2 = 4155.817, dw = -0.05423, nw = 1651 130902.0048.ec.fits: ap = 84, w1 = 4214.082, w2 = 4125.27, dw = -0.05383, nw = 1651 130902.0048.ec.fits: ap = 85, w1 = 4183.33, w2 = 4095.168, dw = -0.05343, nw = 1651 130902.0048.ec.fits: ap = 86, w1 = 4153.024, w2 = 4065.504, dw = -0.05304, nw = 1651 130902.0048.ec.fits: ap = 87, w1 = 4123.154, w2 = 4036.266, dw = -0.05266, nw = 1651 130902.0048.ec.fits: ap = 88, w1 = 4093.711, w2 = 4007.446, dw = -0.05228, nw = 1651 130902.0048.ec.fits: ap = 89, w1 = 4064.686, w2 = 3979.035, dw = -0.05191, nw = 1651 130902.0048.ec.fits: ap = 90, w1 = 4036.069, w2 = 3951.024, dw = -0.05154, nw = 1651 130902.0048.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.405, dw = -0.05118, nw = 1651 130902.0048.ec.fits: ap = 92, w1 = 3980.029, w2 = 3896.17, dw = -0.05082, nw = 1651 130902.0048.ec.fits: ap = 93, w1 = 3952.588, w2 = 3869.31, dw = -0.05047, nw = 1651 130902.0048.ec.fits: ap = 94, w1 = 3925.524, w2 = 3842.819, dw = -0.05012, nw = 1651 130902.0048.ec.fits: ap = 95, w1 = 3898.828, w2 = 3816.688, dw = -0.04978, nw = 1651 130902.0048.ec.fits: ap = 96, w1 = 3872.492, w2 = 3790.911, dw = -0.04944, nw = 1651 130902.0048.ec.fits: ap = 97, w1 = 3846.51, w2 = 3765.479, dw = -0.04911, nw = 1651 130902.0048.ec.fits: ap = 98, w1 = 3820.875, w2 = 3740.387, dw = -0.04878, nw = 1651 130902.0048.ec.fits: ap = 99, w1 = 3795.579, w2 = 3715.627, dw = -0.04846, nw = 1651 130902.0048.ec.fits: ap = 100, w1 = 3770.616, w2 = 3691.194, dw = -0.04813, nw = 1651 130902.0048.ec.fits: ap = 101, w1 = 3745.98, w2 = 3667.079, dw = -0.04782, nw = 1651 130902.0048.ec.fits: ap = 102, w1 = 3721.663, w2 = 3643.279, dw = -0.04751, nw = 1651 130902.0048.ec.fits: ap = 103, w1 = 3697.66, w2 = 3619.785, dw = -0.0472, nw = 1651 130902.0048.ec.fits: ap = 104, w1 = 3673.965, w2 = 3596.593, dw = -0.04689, nw = 1651 130902.0048.ec.fits: ap = 105, w1 = 3650.572, w2 = 3573.696, dw = -0.04659, nw = 1651 130902.0048.ec.fits: ap = 106, w1 = 3627.475, w2 = 3551.089, dw = -0.04629, nw = 1651 130902.0048.ec.fits: ap = 107, w1 = 3604.669, w2 = 3528.767, dw = -0.046, nw = 1651 130902.0048.ec.fits: ap = 108, w1 = 3582.147, w2 = 3506.724, dw = -0.04571, nw = 1651 130902.0048.ec.fits: ap = 109, w1 = 3559.906, w2 = 3484.955, dw = -0.04542, nw = 1651 130902.0048.ec.fits: ap = 110, w1 = 3537.939, w2 = 3463.455, dw = -0.04514, nw = 1651 130902.0048.ec.fits: ap = 111, w1 = 3516.241, w2 = 3442.219, dw = -0.04486, nw = 1651 130902.0048.ec.fits: ap = 112, w1 = 3494.809, w2 = 3421.242, dw = -0.04459, nw = 1651 130902.0048.ec.fits: ap = 113, w1 = 3473.636, w2 = 3400.52, dw = -0.04431, nw = 1651 130902.0048.ec.fits: ap = 114, w1 = 3452.718, w2 = 3380.047, dw = -0.04404, nw = 1651 130902.0048.ec.fits: ap = 115, w1 = 3432.051, w2 = 3359.819, dw = -0.04378, nw = 1651 130902.0050.ec.fits: REFSPEC1 = 'ThAr.0049.ec 0.81435996' 130902.0050.ec.fits: REFSPEC2 = 'ThAr.0053.ec 0.18564001' 130902.0050.ec.fits: ap = 1, w1 = 10812.15, w2 = 10583.99, dw = -0.13828, nw = 1651 130902.0050.ec.fits: ap = 2, w1 = 10611.94, w2 = 10388.01, dw = -0.13572, nw = 1651 130902.0050.ec.fits: ap = 3, w1 = 10419.01, w2 = 10199.15, dw = -0.13325, nw = 1651 130902.0050.ec.fits: ap = 4, w1 = 10232.97, w2 = 10017.04, dw = -0.13087, nw = 1651 130902.0050.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.314, dw = -0.12857, nw = 1651 130902.0050.ec.fits: ap = 6, w1 = 9880.138, w2 = 9671.65, dw = -0.12636, nw = 1651 130902.0050.ec.fits: ap = 7, w1 = 9712.691, w2 = 9507.738, dw = -0.12421, nw = 1651 130902.0050.ec.fits: ap = 8, w1 = 9550.826, w2 = 9349.29, dw = -0.12214, nw = 1651 130902.0050.ec.fits: ap = 9, w1 = 9394.268, w2 = 9196.037, dw = -0.12014, nw = 1651 130902.0050.ec.fits: ap = 10, w1 = 9242.76, w2 = 9047.727, dw = -0.1182, nw = 1651 130902.0050.ec.fits: ap = 11, w1 = 9096.062, w2 = 8904.126, dw = -0.11632, nw = 1651 130902.0050.ec.fits: ap = 12, w1 = 8953.948, w2 = 8765.012, dw = -0.11451, nw = 1651 130902.0050.ec.fits: ap = 13, w1 = 8816.206, w2 = 8630.179, dw = -0.11274, nw = 1651 130902.0050.ec.fits: ap = 14, w1 = 8682.639, w2 = 8499.431, dw = -0.11103, nw = 1651 130902.0050.ec.fits: ap = 15, w1 = 8553.058, w2 = 8372.587, dw = -0.10938, nw = 1651 130902.0050.ec.fits: ap = 16, w1 = 8427.289, w2 = 8249.473, dw = -0.10777, nw = 1651 130902.0050.ec.fits: ap = 17, w1 = 8305.165, w2 = 8129.928, dw = -0.1062, nw = 1651 130902.0050.ec.fits: ap = 18, w1 = 8186.531, w2 = 8013.798, dw = -0.10469, nw = 1651 130902.0050.ec.fits: ap = 19, w1 = 8071.238, w2 = 7900.94, dw = -0.10321, nw = 1651 130902.0050.ec.fits: ap = 20, w1 = 7959.147, w2 = 7791.217, dw = -0.10178, nw = 1651 130902.0050.ec.fits: ap = 21, w1 = 7850.128, w2 = 7684.5, dw = -0.10038, nw = 1651 130902.0050.ec.fits: ap = 22, w1 = 7744.055, w2 = 7580.667, dw = -0.09902, nw = 1651 130902.0050.ec.fits: ap = 23, w1 = 7640.811, w2 = 7479.603, dw = -0.0977, nw = 1651 130902.0050.ec.fits: ap = 24, w1 = 7540.284, w2 = 7381.199, dw = -0.09641, nw = 1651 130902.0050.ec.fits: ap = 25, w1 = 7442.367, w2 = 7285.351, dw = -0.09516, nw = 1651 130902.0050.ec.fits: ap = 26, w1 = 7346.962, w2 = 7191.96, dw = -0.09394, nw = 1651 130902.0050.ec.fits: ap = 27, w1 = 7253.971, w2 = 7100.934, dw = -0.09275, nw = 1651 130902.0050.ec.fits: ap = 28, w1 = 7163.306, w2 = 7012.183, dw = -0.09159, nw = 1651 130902.0050.ec.fits: ap = 29, w1 = 7074.879, w2 = 6925.624, dw = -0.09046, nw = 1651 130902.0050.ec.fits: ap = 30, w1 = 6988.609, w2 = 6841.176, dw = -0.08935, nw = 1651 130902.0050.ec.fits: ap = 31, w1 = 6904.418, w2 = 6758.763, dw = -0.08828, nw = 1651 130902.0050.ec.fits: ap = 32, w1 = 6822.231, w2 = 6678.313, dw = -0.08722, nw = 1651 130902.0050.ec.fits: ap = 33, w1 = 6741.979, w2 = 6599.755, dw = -0.0862, nw = 1651 130902.0050.ec.fits: ap = 34, w1 = 6663.592, w2 = 6523.025, dw = -0.08519, nw = 1651 130902.0050.ec.fits: ap = 35, w1 = 6587.008, w2 = 6448.058, dw = -0.08421, nw = 1651 130902.0050.ec.fits: ap = 36, w1 = 6512.164, w2 = 6374.795, dw = -0.08325, nw = 1651 130902.0050.ec.fits: ap = 37, w1 = 6439.003, w2 = 6303.18, dw = -0.08232, nw = 1651 130902.0050.ec.fits: ap = 38, w1 = 6367.467, w2 = 6233.155, dw = -0.0814, nw = 1651 130902.0050.ec.fits: ap = 39, w1 = 6297.503, w2 = 6164.669, dw = -0.08051, nw = 1651 130902.0050.ec.fits: ap = 40, w1 = 6229.06, w2 = 6097.672, dw = -0.07963, nw = 1651 130902.0050.ec.fits: ap = 41, w1 = 6162.089, w2 = 6032.116, dw = -0.07877, nw = 1651 130902.0050.ec.fits: ap = 42, w1 = 6096.544, w2 = 5967.955, dw = -0.07793, nw = 1651 130902.0050.ec.fits: ap = 43, w1 = 6032.378, w2 = 5905.145, dw = -0.07711, nw = 1651 130902.0050.ec.fits: ap = 44, w1 = 5969.549, w2 = 5843.643, dw = -0.07631, nw = 1651 130902.0050.ec.fits: ap = 45, w1 = 5908.015, w2 = 5783.41, dw = -0.07552, nw = 1651 130902.0050.ec.fits: ap = 46, w1 = 5847.737, w2 = 5724.405, dw = -0.07475, nw = 1651 130902.0050.ec.fits: ap = 47, w1 = 5788.678, w2 = 5666.593, dw = -0.07399, nw = 1651 130902.0050.ec.fits: ap = 48, w1 = 5730.799, w2 = 5609.937, dw = -0.07325, nw = 1651 130902.0050.ec.fits: ap = 49, w1 = 5674.066, w2 = 5554.403, dw = -0.07252, nw = 1651 130902.0050.ec.fits: ap = 50, w1 = 5618.446, w2 = 5499.958, dw = -0.07181, nw = 1651 130902.0050.ec.fits: ap = 51, w1 = 5563.906, w2 = 5446.571, dw = -0.07111, nw = 1651 130902.0050.ec.fits: ap = 52, w1 = 5510.415, w2 = 5394.209, dw = -0.07043, nw = 1651 130902.0050.ec.fits: ap = 53, w1 = 5457.943, w2 = 5342.846, dw = -0.06976, nw = 1651 130902.0050.ec.fits: ap = 54, w1 = 5406.461, w2 = 5292.451, dw = -0.0691, nw = 1651 130902.0050.ec.fits: ap = 55, w1 = 5355.941, w2 = 5242.999, dw = -0.06845, nw = 1651 130902.0050.ec.fits: ap = 56, w1 = 5306.357, w2 = 5194.463, dw = -0.06781, nw = 1651 130902.0050.ec.fits: ap = 57, w1 = 5257.683, w2 = 5146.817, dw = -0.06719, nw = 1651 130902.0050.ec.fits: ap = 58, w1 = 5209.894, w2 = 5100.038, dw = -0.06658, nw = 1651 130902.0050.ec.fits: ap = 59, w1 = 5162.966, w2 = 5054.101, dw = -0.06598, nw = 1651 130902.0050.ec.fits: ap = 60, w1 = 5116.876, w2 = 5008.985, dw = -0.06539, nw = 1651 130902.0050.ec.fits: ap = 61, w1 = 5071.602, w2 = 4964.668, dw = -0.06481, nw = 1651 130902.0050.ec.fits: ap = 62, w1 = 5027.123, w2 = 4921.128, dw = -0.06424, nw = 1651 130902.0050.ec.fits: ap = 63, w1 = 4983.417, w2 = 4878.346, dw = -0.06368, nw = 1651 130902.0050.ec.fits: ap = 64, w1 = 4940.465, w2 = 4836.301, dw = -0.06313, nw = 1651 130902.0050.ec.fits: ap = 65, w1 = 4898.247, w2 = 4794.975, dw = -0.06259, nw = 1651 130902.0050.ec.fits: ap = 66, w1 = 4856.744, w2 = 4754.349, dw = -0.06206, nw = 1651 130902.0050.ec.fits: ap = 67, w1 = 4815.94, w2 = 4714.407, dw = -0.06154, nw = 1651 130902.0050.ec.fits: ap = 68, w1 = 4775.815, w2 = 4675.13, dw = -0.06102, nw = 1651 130902.0050.ec.fits: ap = 69, w1 = 4736.354, w2 = 4636.502, dw = -0.06052, nw = 1651 130902.0050.ec.fits: ap = 70, w1 = 4697.54, w2 = 4598.508, dw = -0.06002, nw = 1651 130902.0050.ec.fits: ap = 71, w1 = 4659.357, w2 = 4561.132, dw = -0.05953, nw = 1651 130902.0050.ec.fits: ap = 72, w1 = 4621.79, w2 = 4524.358, dw = -0.05905, nw = 1651 130902.0050.ec.fits: ap = 73, w1 = 4584.824, w2 = 4488.173, dw = -0.05858, nw = 1651 130902.0050.ec.fits: ap = 74, w1 = 4548.445, w2 = 4452.563, dw = -0.05811, nw = 1651 130902.0050.ec.fits: ap = 75, w1 = 4512.639, w2 = 4417.513, dw = -0.05765, nw = 1651 130902.0050.ec.fits: ap = 76, w1 = 4477.392, w2 = 4383.011, dw = -0.0572, nw = 1651 130902.0050.ec.fits: ap = 77, w1 = 4442.692, w2 = 4349.044, dw = -0.05676, nw = 1651 130902.0050.ec.fits: ap = 78, w1 = 4408.526, w2 = 4315.6, dw = -0.05632, nw = 1651 130902.0050.ec.fits: ap = 79, w1 = 4374.882, w2 = 4282.667, dw = -0.05589, nw = 1651 130902.0050.ec.fits: ap = 80, w1 = 4341.748, w2 = 4250.232, dw = -0.05546, nw = 1651 130902.0050.ec.fits: ap = 81, w1 = 4309.112, w2 = 4218.286, dw = -0.05505, nw = 1651 130902.0050.ec.fits: ap = 82, w1 = 4276.963, w2 = 4186.816, dw = -0.05463, nw = 1651 130902.0050.ec.fits: ap = 83, w1 = 4245.29, w2 = 4155.813, dw = -0.05423, nw = 1651 130902.0050.ec.fits: ap = 84, w1 = 4214.084, w2 = 4125.265, dw = -0.05383, nw = 1651 130902.0050.ec.fits: ap = 85, w1 = 4183.333, w2 = 4095.164, dw = -0.05344, nw = 1651 130902.0050.ec.fits: ap = 86, w1 = 4153.028, w2 = 4065.499, dw = -0.05305, nw = 1651 130902.0050.ec.fits: ap = 87, w1 = 4123.159, w2 = 4036.261, dw = -0.05267, nw = 1651 130902.0050.ec.fits: ap = 88, w1 = 4093.717, w2 = 4007.441, dw = -0.05229, nw = 1651 130902.0050.ec.fits: ap = 89, w1 = 4064.692, w2 = 3979.03, dw = -0.05192, nw = 1651 130902.0050.ec.fits: ap = 90, w1 = 4036.077, w2 = 3951.019, dw = -0.05155, nw = 1651 130902.0050.ec.fits: ap = 91, w1 = 4007.862, w2 = 3923.399, dw = -0.05119, nw = 1651 130902.0050.ec.fits: ap = 92, w1 = 3980.039, w2 = 3896.165, dw = -0.05083, nw = 1651 130902.0050.ec.fits: ap = 93, w1 = 3952.6, w2 = 3869.305, dw = -0.05048, nw = 1651 130902.0050.ec.fits: ap = 94, w1 = 3925.537, w2 = 3842.814, dw = -0.05014, nw = 1651 130902.0050.ec.fits: ap = 95, w1 = 3898.842, w2 = 3816.683, dw = -0.04979, nw = 1651 130902.0050.ec.fits: ap = 96, w1 = 3872.508, w2 = 3790.905, dw = -0.04946, nw = 1651 130902.0050.ec.fits: ap = 97, w1 = 3846.527, w2 = 3765.473, dw = -0.04912, nw = 1651 130902.0050.ec.fits: ap = 98, w1 = 3820.893, w2 = 3740.381, dw = -0.0488, nw = 1651 130902.0050.ec.fits: ap = 99, w1 = 3795.599, w2 = 3715.621, dw = -0.04847, nw = 1651 130902.0050.ec.fits: ap = 100, w1 = 3770.637, w2 = 3691.186, dw = -0.04815, nw = 1651 130902.0050.ec.fits: ap = 101, w1 = 3746.002, w2 = 3667.072, dw = -0.04784, nw = 1651 130902.0050.ec.fits: ap = 102, w1 = 3721.688, w2 = 3643.271, dw = -0.04753, nw = 1651 130902.0050.ec.fits: ap = 103, w1 = 3697.687, w2 = 3619.777, dw = -0.04722, nw = 1651 130902.0050.ec.fits: ap = 104, w1 = 3673.993, w2 = 3596.584, dw = -0.04691, nw = 1651 130902.0050.ec.fits: ap = 105, w1 = 3650.602, w2 = 3573.687, dw = -0.04662, nw = 1651 130902.0050.ec.fits: ap = 106, w1 = 3627.507, w2 = 3551.079, dw = -0.04632, nw = 1651 130902.0050.ec.fits: ap = 107, w1 = 3604.702, w2 = 3528.757, dw = -0.04603, nw = 1651 130902.0050.ec.fits: ap = 108, w1 = 3582.183, w2 = 3506.713, dw = -0.04574, nw = 1651 130902.0050.ec.fits: ap = 109, w1 = 3559.944, w2 = 3484.944, dw = -0.04545, nw = 1651 130902.0050.ec.fits: ap = 110, w1 = 3537.979, w2 = 3463.443, dw = -0.04517, nw = 1651 130902.0050.ec.fits: ap = 111, w1 = 3516.284, w2 = 3442.206, dw = -0.0449, nw = 1651 130902.0050.ec.fits: ap = 112, w1 = 3494.854, w2 = 3421.228, dw = -0.04462, nw = 1651 130902.0050.ec.fits: ap = 113, w1 = 3473.683, w2 = 3400.505, dw = -0.04435, nw = 1651 130902.0050.ec.fits: ap = 114, w1 = 3452.768, w2 = 3380.032, dw = -0.04408, nw = 1651 130902.0050.ec.fits: ap = 115, w1 = 3432.103, w2 = 3359.804, dw = -0.04382, nw = 1651 130902.0051.ec.fits: REFSPEC1 = 'ThAr.0049.ec 0.51429838' 130902.0051.ec.fits: REFSPEC2 = 'ThAr.0053.ec 0.48570159' 130902.0051.ec.fits: ap = 1, w1 = 10812.14, w2 = 10583.96, dw = -0.1383, nw = 1651 130902.0051.ec.fits: ap = 2, w1 = 10611.93, w2 = 10387.98, dw = -0.13573, nw = 1651 130902.0051.ec.fits: ap = 3, w1 = 10419., w2 = 10199.12, dw = -0.13326, nw = 1651 130902.0051.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.01, dw = -0.13088, nw = 1651 130902.0051.ec.fits: ap = 5, w1 = 10053.45, w2 = 9841.29, dw = -0.12858, nw = 1651 130902.0051.ec.fits: ap = 6, w1 = 9880.13, w2 = 9671.629, dw = -0.12636, nw = 1651 130902.0051.ec.fits: ap = 7, w1 = 9712.683, w2 = 9507.719, dw = -0.12422, nw = 1651 130902.0051.ec.fits: ap = 8, w1 = 9550.818, w2 = 9349.272, dw = -0.12215, nw = 1651 130902.0051.ec.fits: ap = 9, w1 = 9394.259, w2 = 9196.02, dw = -0.12014, nw = 1651 130902.0051.ec.fits: ap = 10, w1 = 9242.751, w2 = 9047.712, dw = -0.11821, nw = 1651 130902.0051.ec.fits: ap = 11, w1 = 9096.053, w2 = 8904.112, dw = -0.11633, nw = 1651 130902.0051.ec.fits: ap = 12, w1 = 8953.939, w2 = 8764.999, dw = -0.11451, nw = 1651 130902.0051.ec.fits: ap = 13, w1 = 8816.197, w2 = 8630.167, dw = -0.11275, nw = 1651 130902.0051.ec.fits: ap = 14, w1 = 8682.63, w2 = 8499.42, dw = -0.11104, nw = 1651 130902.0051.ec.fits: ap = 15, w1 = 8553.05, w2 = 8372.576, dw = -0.10938, nw = 1651 130902.0051.ec.fits: ap = 16, w1 = 8427.28, w2 = 8249.463, dw = -0.10777, nw = 1651 130902.0051.ec.fits: ap = 17, w1 = 8305.157, w2 = 8129.918, dw = -0.10621, nw = 1651 130902.0051.ec.fits: ap = 18, w1 = 8186.522, w2 = 8013.789, dw = -0.10469, nw = 1651 130902.0051.ec.fits: ap = 19, w1 = 8071.229, w2 = 7900.931, dw = -0.10321, nw = 1651 130902.0051.ec.fits: ap = 20, w1 = 7959.139, w2 = 7791.208, dw = -0.10178, nw = 1651 130902.0051.ec.fits: ap = 21, w1 = 7850.12, w2 = 7684.491, dw = -0.10038, nw = 1651 130902.0051.ec.fits: ap = 22, w1 = 7744.047, w2 = 7580.659, dw = -0.09902, nw = 1651 130902.0051.ec.fits: ap = 23, w1 = 7640.803, w2 = 7479.595, dw = -0.0977, nw = 1651 130902.0051.ec.fits: ap = 24, w1 = 7540.276, w2 = 7381.191, dw = -0.09642, nw = 1651 130902.0051.ec.fits: ap = 25, w1 = 7442.36, w2 = 7285.343, dw = -0.09516, nw = 1651 130902.0051.ec.fits: ap = 26, w1 = 7346.955, w2 = 7191.952, dw = -0.09394, nw = 1651 130902.0051.ec.fits: ap = 27, w1 = 7253.965, w2 = 7100.926, dw = -0.09275, nw = 1651 130902.0051.ec.fits: ap = 28, w1 = 7163.299, w2 = 7012.175, dw = -0.09159, nw = 1651 130902.0051.ec.fits: ap = 29, w1 = 7074.873, w2 = 6925.616, dw = -0.09046, nw = 1651 130902.0051.ec.fits: ap = 30, w1 = 6988.603, w2 = 6841.169, dw = -0.08935, nw = 1651 130902.0051.ec.fits: ap = 31, w1 = 6904.412, w2 = 6758.756, dw = -0.08828, nw = 1651 130902.0051.ec.fits: ap = 32, w1 = 6822.225, w2 = 6678.305, dw = -0.08722, nw = 1651 130902.0051.ec.fits: ap = 33, w1 = 6741.972, w2 = 6599.747, dw = -0.0862, nw = 1651 130902.0051.ec.fits: ap = 34, w1 = 6663.586, w2 = 6523.017, dw = -0.08519, nw = 1651 130902.0051.ec.fits: ap = 35, w1 = 6587.002, w2 = 6448.05, dw = -0.08421, nw = 1651 130902.0051.ec.fits: ap = 36, w1 = 6512.158, w2 = 6374.787, dw = -0.08325, nw = 1651 130902.0051.ec.fits: ap = 37, w1 = 6438.997, w2 = 6303.172, dw = -0.08232, nw = 1651 130902.0051.ec.fits: ap = 38, w1 = 6367.461, w2 = 6233.147, dw = -0.0814, nw = 1651 130902.0051.ec.fits: ap = 39, w1 = 6297.497, w2 = 6164.661, dw = -0.08051, nw = 1651 130902.0051.ec.fits: ap = 40, w1 = 6229.054, w2 = 6097.664, dw = -0.07963, nw = 1651 130902.0051.ec.fits: ap = 41, w1 = 6162.084, w2 = 6032.108, dw = -0.07877, nw = 1651 130902.0051.ec.fits: ap = 42, w1 = 6096.538, w2 = 5967.947, dw = -0.07793, nw = 1651 130902.0051.ec.fits: ap = 43, w1 = 6032.372, w2 = 5905.137, dw = -0.07711, nw = 1651 130902.0051.ec.fits: ap = 44, w1 = 5969.543, w2 = 5843.635, dw = -0.07631, nw = 1651 130902.0051.ec.fits: ap = 45, w1 = 5908.009, w2 = 5783.402, dw = -0.07552, nw = 1651 130902.0051.ec.fits: ap = 46, w1 = 5847.732, w2 = 5724.398, dw = -0.07475, nw = 1651 130902.0051.ec.fits: ap = 47, w1 = 5788.672, w2 = 5666.586, dw = -0.07399, nw = 1651 130902.0051.ec.fits: ap = 48, w1 = 5730.793, w2 = 5609.93, dw = -0.07325, nw = 1651 130902.0051.ec.fits: ap = 49, w1 = 5674.061, w2 = 5554.396, dw = -0.07252, nw = 1651 130902.0051.ec.fits: ap = 50, w1 = 5618.441, w2 = 5499.951, dw = -0.07181, nw = 1651 130902.0051.ec.fits: ap = 51, w1 = 5563.901, w2 = 5446.564, dw = -0.07111, nw = 1651 130902.0051.ec.fits: ap = 52, w1 = 5510.409, w2 = 5394.203, dw = -0.07043, nw = 1651 130902.0051.ec.fits: ap = 53, w1 = 5457.937, w2 = 5342.839, dw = -0.06976, nw = 1651 130902.0051.ec.fits: ap = 54, w1 = 5406.455, w2 = 5292.445, dw = -0.0691, nw = 1651 130902.0051.ec.fits: ap = 55, w1 = 5355.936, w2 = 5242.993, dw = -0.06845, nw = 1651 130902.0051.ec.fits: ap = 56, w1 = 5306.352, w2 = 5194.457, dw = -0.06781, nw = 1651 130902.0051.ec.fits: ap = 57, w1 = 5257.678, w2 = 5146.812, dw = -0.06719, nw = 1651 130902.0051.ec.fits: ap = 58, w1 = 5209.889, w2 = 5100.033, dw = -0.06658, nw = 1651 130902.0051.ec.fits: ap = 59, w1 = 5162.961, w2 = 5054.096, dw = -0.06598, nw = 1651 130902.0051.ec.fits: ap = 60, w1 = 5116.871, w2 = 5008.981, dw = -0.06539, nw = 1651 130902.0051.ec.fits: ap = 61, w1 = 5071.597, w2 = 4964.663, dw = -0.06481, nw = 1651 130902.0051.ec.fits: ap = 62, w1 = 5027.118, w2 = 4921.124, dw = -0.06424, nw = 1651 130902.0051.ec.fits: ap = 63, w1 = 4983.412, w2 = 4878.342, dw = -0.06368, nw = 1651 130902.0051.ec.fits: ap = 64, w1 = 4940.459, w2 = 4836.297, dw = -0.06313, nw = 1651 130902.0051.ec.fits: ap = 65, w1 = 4898.241, w2 = 4794.971, dw = -0.06259, nw = 1651 130902.0051.ec.fits: ap = 66, w1 = 4856.739, w2 = 4754.346, dw = -0.06206, nw = 1651 130902.0051.ec.fits: ap = 67, w1 = 4815.935, w2 = 4714.404, dw = -0.06153, nw = 1651 130902.0051.ec.fits: ap = 68, w1 = 4775.81, w2 = 4675.127, dw = -0.06102, nw = 1651 130902.0051.ec.fits: ap = 69, w1 = 4736.349, w2 = 4636.5, dw = -0.06051, nw = 1651 130902.0051.ec.fits: ap = 70, w1 = 4697.535, w2 = 4598.506, dw = -0.06002, nw = 1651 130902.0051.ec.fits: ap = 71, w1 = 4659.352, w2 = 4561.129, dw = -0.05953, nw = 1651 130902.0051.ec.fits: ap = 72, w1 = 4621.785, w2 = 4524.356, dw = -0.05905, nw = 1651 130902.0051.ec.fits: ap = 73, w1 = 4584.819, w2 = 4488.171, dw = -0.05857, nw = 1651 130902.0051.ec.fits: ap = 74, w1 = 4548.441, w2 = 4452.561, dw = -0.05811, nw = 1651 130902.0051.ec.fits: ap = 75, w1 = 4512.635, w2 = 4417.512, dw = -0.05765, nw = 1651 130902.0051.ec.fits: ap = 76, w1 = 4477.388, w2 = 4383.01, dw = -0.0572, nw = 1651 130902.0051.ec.fits: ap = 77, w1 = 4442.689, w2 = 4349.043, dw = -0.05675, nw = 1651 130902.0051.ec.fits: ap = 78, w1 = 4408.523, w2 = 4315.599, dw = -0.05632, nw = 1651 130902.0051.ec.fits: ap = 79, w1 = 4374.879, w2 = 4282.665, dw = -0.05589, nw = 1651 130902.0051.ec.fits: ap = 80, w1 = 4341.745, w2 = 4250.231, dw = -0.05546, nw = 1651 130902.0051.ec.fits: ap = 81, w1 = 4309.11, w2 = 4218.284, dw = -0.05505, nw = 1651 130902.0051.ec.fits: ap = 82, w1 = 4276.961, w2 = 4186.815, dw = -0.05463, nw = 1651 130902.0051.ec.fits: ap = 83, w1 = 4245.289, w2 = 4155.811, dw = -0.05423, nw = 1651 130902.0051.ec.fits: ap = 84, w1 = 4214.083, w2 = 4125.264, dw = -0.05383, nw = 1651 130902.0051.ec.fits: ap = 85, w1 = 4183.333, w2 = 4095.162, dw = -0.05344, nw = 1651 130902.0051.ec.fits: ap = 86, w1 = 4153.028, w2 = 4065.497, dw = -0.05305, nw = 1651 130902.0051.ec.fits: ap = 87, w1 = 4123.16, w2 = 4036.259, dw = -0.05267, nw = 1651 130902.0051.ec.fits: ap = 88, w1 = 4093.718, w2 = 4007.439, dw = -0.05229, nw = 1651 130902.0051.ec.fits: ap = 89, w1 = 4064.694, w2 = 3979.027, dw = -0.05192, nw = 1651 130902.0051.ec.fits: ap = 90, w1 = 4036.08, w2 = 3951.016, dw = -0.05155, nw = 1651 130902.0051.ec.fits: ap = 91, w1 = 4007.865, w2 = 3923.396, dw = -0.05119, nw = 1651 130902.0051.ec.fits: ap = 92, w1 = 3980.043, w2 = 3896.16, dw = -0.05084, nw = 1651 130902.0051.ec.fits: ap = 93, w1 = 3952.605, w2 = 3869.3, dw = -0.05049, nw = 1651 130902.0051.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.808, dw = -0.05014, nw = 1651 130902.0051.ec.fits: ap = 95, w1 = 3898.848, w2 = 3816.676, dw = -0.0498, nw = 1651 130902.0051.ec.fits: ap = 96, w1 = 3872.515, w2 = 3790.898, dw = -0.04947, nw = 1651 130902.0051.ec.fits: ap = 97, w1 = 3846.536, w2 = 3765.465, dw = -0.04913, nw = 1651 130902.0051.ec.fits: ap = 98, w1 = 3820.903, w2 = 3740.372, dw = -0.04881, nw = 1651 130902.0051.ec.fits: ap = 99, w1 = 3795.61, w2 = 3715.611, dw = -0.04848, nw = 1651 130902.0051.ec.fits: ap = 100, w1 = 3770.649, w2 = 3691.176, dw = -0.04817, nw = 1651 130902.0051.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.06, dw = -0.04785, nw = 1651 130902.0051.ec.fits: ap = 102, w1 = 3721.702, w2 = 3643.258, dw = -0.04754, nw = 1651 130902.0051.ec.fits: ap = 103, w1 = 3697.702, w2 = 3619.762, dw = -0.04724, nw = 1651 130902.0051.ec.fits: ap = 104, w1 = 3674.01, w2 = 3596.568, dw = -0.04693, nw = 1651 130902.0051.ec.fits: ap = 105, w1 = 3650.621, w2 = 3573.67, dw = -0.04664, nw = 1651 130902.0051.ec.fits: ap = 106, w1 = 3627.527, w2 = 3551.061, dw = -0.04634, nw = 1651 130902.0051.ec.fits: ap = 107, w1 = 3604.724, w2 = 3528.737, dw = -0.04605, nw = 1651 130902.0051.ec.fits: ap = 108, w1 = 3582.207, w2 = 3506.691, dw = -0.04577, nw = 1651 130902.0051.ec.fits: ap = 109, w1 = 3559.969, w2 = 3484.92, dw = -0.04548, nw = 1651 130902.0051.ec.fits: ap = 110, w1 = 3538.006, w2 = 3463.417, dw = -0.04521, nw = 1651 130902.0051.ec.fits: ap = 111, w1 = 3516.313, w2 = 3442.179, dw = -0.04493, nw = 1651 130902.0051.ec.fits: ap = 112, w1 = 3494.884, w2 = 3421.199, dw = -0.04466, nw = 1651 130902.0051.ec.fits: ap = 113, w1 = 3473.716, w2 = 3400.473, dw = -0.04439, nw = 1651 130902.0051.ec.fits: ap = 114, w1 = 3452.802, w2 = 3379.998, dw = -0.04412, nw = 1651 130902.0051.ec.fits: ap = 115, w1 = 3432.14, w2 = 3359.767, dw = -0.04386, nw = 1651 130902.0052.ec.fits: REFSPEC1 = 'ThAr.0049.ec 0.19473228' 130902.0052.ec.fits: REFSPEC2 = 'ThAr.0053.ec 0.80526775' 130902.0052.ec.fits: ap = 1, w1 = 10812.14, w2 = 10583.92, dw = -0.13831, nw = 1651 130902.0052.ec.fits: ap = 2, w1 = 10611.93, w2 = 10387.94, dw = -0.13575, nw = 1651 130902.0052.ec.fits: ap = 3, w1 = 10419., w2 = 10199.09, dw = -0.13328, nw = 1651 130902.0052.ec.fits: ap = 4, w1 = 10232.96, w2 = 10016.98, dw = -0.13089, nw = 1651 130902.0052.ec.fits: ap = 5, w1 = 10053.44, w2 = 9841.266, dw = -0.12859, nw = 1651 130902.0052.ec.fits: ap = 6, w1 = 9880.121, w2 = 9671.607, dw = -0.12637, nw = 1651 130902.0052.ec.fits: ap = 7, w1 = 9712.674, w2 = 9507.698, dw = -0.12423, nw = 1651 130902.0052.ec.fits: ap = 8, w1 = 9550.809, w2 = 9349.253, dw = -0.12215, nw = 1651 130902.0052.ec.fits: ap = 9, w1 = 9394.25, w2 = 9196.003, dw = -0.12015, nw = 1651 130902.0052.ec.fits: ap = 10, w1 = 9242.742, w2 = 9047.696, dw = -0.11821, nw = 1651 130902.0052.ec.fits: ap = 11, w1 = 9096.043, w2 = 8904.097, dw = -0.11633, nw = 1651 130902.0052.ec.fits: ap = 12, w1 = 8953.929, w2 = 8764.985, dw = -0.11451, nw = 1651 130902.0052.ec.fits: ap = 13, w1 = 8816.188, w2 = 8630.154, dw = -0.11275, nw = 1651 130902.0052.ec.fits: ap = 14, w1 = 8682.621, w2 = 8499.408, dw = -0.11104, nw = 1651 130902.0052.ec.fits: ap = 15, w1 = 8553.04, w2 = 8372.565, dw = -0.10938, nw = 1651 130902.0052.ec.fits: ap = 16, w1 = 8427.271, w2 = 8249.452, dw = -0.10777, nw = 1651 130902.0052.ec.fits: ap = 17, w1 = 8305.148, w2 = 8129.908, dw = -0.10621, nw = 1651 130902.0052.ec.fits: ap = 18, w1 = 8186.513, w2 = 8013.779, dw = -0.10469, nw = 1651 130902.0052.ec.fits: ap = 19, w1 = 8071.221, w2 = 7900.922, dw = -0.10321, nw = 1651 130902.0052.ec.fits: ap = 20, w1 = 7959.131, w2 = 7791.199, dw = -0.10178, nw = 1651 130902.0052.ec.fits: ap = 21, w1 = 7850.112, w2 = 7684.482, dw = -0.10038, nw = 1651 130902.0052.ec.fits: ap = 22, w1 = 7744.039, w2 = 7580.65, dw = -0.09902, nw = 1651 130902.0052.ec.fits: ap = 23, w1 = 7640.795, w2 = 7479.586, dw = -0.0977, nw = 1651 130902.0052.ec.fits: ap = 24, w1 = 7540.268, w2 = 7381.182, dw = -0.09642, nw = 1651 130902.0052.ec.fits: ap = 25, w1 = 7442.352, w2 = 7285.334, dw = -0.09516, nw = 1651 130902.0052.ec.fits: ap = 26, w1 = 7346.947, w2 = 7191.944, dw = -0.09394, nw = 1651 130902.0052.ec.fits: ap = 27, w1 = 7253.957, w2 = 7100.918, dw = -0.09275, nw = 1651 130902.0052.ec.fits: ap = 28, w1 = 7163.292, w2 = 7012.167, dw = -0.09159, nw = 1651 130902.0052.ec.fits: ap = 29, w1 = 7074.865, w2 = 6925.608, dw = -0.09046, nw = 1651 130902.0052.ec.fits: ap = 30, w1 = 6988.596, w2 = 6841.16, dw = -0.08935, nw = 1651 130902.0052.ec.fits: ap = 31, w1 = 6904.405, w2 = 6758.747, dw = -0.08828, nw = 1651 130902.0052.ec.fits: ap = 32, w1 = 6822.218, w2 = 6678.297, dw = -0.08723, nw = 1651 130902.0052.ec.fits: ap = 33, w1 = 6741.966, w2 = 6599.739, dw = -0.0862, nw = 1651 130902.0052.ec.fits: ap = 34, w1 = 6663.58, w2 = 6523.009, dw = -0.08519, nw = 1651 130902.0052.ec.fits: ap = 35, w1 = 6586.995, w2 = 6448.042, dw = -0.08421, nw = 1651 130902.0052.ec.fits: ap = 36, w1 = 6512.152, w2 = 6374.779, dw = -0.08326, nw = 1651 130902.0052.ec.fits: ap = 37, w1 = 6438.99, w2 = 6303.163, dw = -0.08232, nw = 1651 130902.0052.ec.fits: ap = 38, w1 = 6367.454, w2 = 6233.138, dw = -0.0814, nw = 1651 130902.0052.ec.fits: ap = 39, w1 = 6297.491, w2 = 6164.652, dw = -0.08051, nw = 1651 130902.0052.ec.fits: ap = 40, w1 = 6229.048, w2 = 6097.656, dw = -0.07963, nw = 1651 130902.0052.ec.fits: ap = 41, w1 = 6162.077, w2 = 6032.1, dw = -0.07877, nw = 1651 130902.0052.ec.fits: ap = 42, w1 = 6096.532, w2 = 5967.939, dw = -0.07794, nw = 1651 130902.0052.ec.fits: ap = 43, w1 = 6032.366, w2 = 5905.129, dw = -0.07711, nw = 1651 130902.0052.ec.fits: ap = 44, w1 = 5969.537, w2 = 5843.627, dw = -0.07631, nw = 1651 130902.0052.ec.fits: ap = 45, w1 = 5908.003, w2 = 5783.394, dw = -0.07552, nw = 1651 130902.0052.ec.fits: ap = 46, w1 = 5847.726, w2 = 5724.39, dw = -0.07475, nw = 1651 130902.0052.ec.fits: ap = 47, w1 = 5788.666, w2 = 5666.578, dw = -0.07399, nw = 1651 130902.0052.ec.fits: ap = 48, w1 = 5730.787, w2 = 5609.922, dw = -0.07325, nw = 1651 130902.0052.ec.fits: ap = 49, w1 = 5674.055, w2 = 5554.389, dw = -0.07252, nw = 1651 130902.0052.ec.fits: ap = 50, w1 = 5618.435, w2 = 5499.944, dw = -0.07181, nw = 1651 130902.0052.ec.fits: ap = 51, w1 = 5563.895, w2 = 5446.557, dw = -0.07111, nw = 1651 130902.0052.ec.fits: ap = 52, w1 = 5510.404, w2 = 5394.196, dw = -0.07043, nw = 1651 130902.0052.ec.fits: ap = 53, w1 = 5457.932, w2 = 5342.833, dw = -0.06976, nw = 1651 130902.0052.ec.fits: ap = 54, w1 = 5406.45, w2 = 5292.439, dw = -0.0691, nw = 1651 130902.0052.ec.fits: ap = 55, w1 = 5355.93, w2 = 5242.987, dw = -0.06845, nw = 1651 130902.0052.ec.fits: ap = 56, w1 = 5306.346, w2 = 5194.451, dw = -0.06781, nw = 1651 130902.0052.ec.fits: ap = 57, w1 = 5257.672, w2 = 5146.806, dw = -0.06719, nw = 1651 130902.0052.ec.fits: ap = 58, w1 = 5209.883, w2 = 5100.027, dw = -0.06658, nw = 1651 130902.0052.ec.fits: ap = 59, w1 = 5162.955, w2 = 5054.091, dw = -0.06598, nw = 1651 130902.0052.ec.fits: ap = 60, w1 = 5116.865, w2 = 5008.976, dw = -0.06539, nw = 1651 130902.0052.ec.fits: ap = 61, w1 = 5071.591, w2 = 4964.659, dw = -0.06481, nw = 1651 130902.0052.ec.fits: ap = 62, w1 = 5027.112, w2 = 4921.119, dw = -0.06424, nw = 1651 130902.0052.ec.fits: ap = 63, w1 = 4983.406, w2 = 4878.337, dw = -0.06368, nw = 1651 130902.0052.ec.fits: ap = 64, w1 = 4940.454, w2 = 4836.293, dw = -0.06313, nw = 1651 130902.0052.ec.fits: ap = 65, w1 = 4898.236, w2 = 4794.968, dw = -0.06259, nw = 1651 130902.0052.ec.fits: ap = 66, w1 = 4856.734, w2 = 4754.342, dw = -0.06206, nw = 1651 130902.0052.ec.fits: ap = 67, w1 = 4815.929, w2 = 4714.4, dw = -0.06153, nw = 1651 130902.0052.ec.fits: ap = 68, w1 = 4775.805, w2 = 4675.124, dw = -0.06102, nw = 1651 130902.0052.ec.fits: ap = 69, w1 = 4736.344, w2 = 4636.497, dw = -0.06051, nw = 1651 130902.0052.ec.fits: ap = 70, w1 = 4697.53, w2 = 4598.503, dw = -0.06002, nw = 1651 130902.0052.ec.fits: ap = 71, w1 = 4659.347, w2 = 4561.127, dw = -0.05953, nw = 1651 130902.0052.ec.fits: ap = 72, w1 = 4621.78, w2 = 4524.354, dw = -0.05905, nw = 1651 130902.0052.ec.fits: ap = 73, w1 = 4584.815, w2 = 4488.169, dw = -0.05857, nw = 1651 130902.0052.ec.fits: ap = 74, w1 = 4548.436, w2 = 4452.559, dw = -0.05811, nw = 1651 130902.0052.ec.fits: ap = 75, w1 = 4512.631, w2 = 4417.51, dw = -0.05765, nw = 1651 130902.0052.ec.fits: ap = 76, w1 = 4477.385, w2 = 4383.008, dw = -0.0572, nw = 1651 130902.0052.ec.fits: ap = 77, w1 = 4442.685, w2 = 4349.042, dw = -0.05675, nw = 1651 130902.0052.ec.fits: ap = 78, w1 = 4408.52, w2 = 4315.598, dw = -0.05632, nw = 1651 130902.0052.ec.fits: ap = 79, w1 = 4374.876, w2 = 4282.664, dw = -0.05589, nw = 1651 130902.0052.ec.fits: ap = 80, w1 = 4341.743, w2 = 4250.23, dw = -0.05546, nw = 1651 130902.0052.ec.fits: ap = 81, w1 = 4309.107, w2 = 4218.283, dw = -0.05504, nw = 1651 130902.0052.ec.fits: ap = 82, w1 = 4276.959, w2 = 4186.813, dw = -0.05463, nw = 1651 130902.0052.ec.fits: ap = 83, w1 = 4245.288, w2 = 4155.81, dw = -0.05423, nw = 1651 130902.0052.ec.fits: ap = 84, w1 = 4214.082, w2 = 4125.262, dw = -0.05383, nw = 1651 130902.0052.ec.fits: ap = 85, w1 = 4183.332, w2 = 4095.161, dw = -0.05344, nw = 1651 130902.0052.ec.fits: ap = 86, w1 = 4153.028, w2 = 4065.495, dw = -0.05305, nw = 1651 130902.0052.ec.fits: ap = 87, w1 = 4123.161, w2 = 4036.257, dw = -0.05267, nw = 1651 130902.0052.ec.fits: ap = 88, w1 = 4093.72, w2 = 4007.436, dw = -0.05229, nw = 1651 130902.0052.ec.fits: ap = 89, w1 = 4064.697, w2 = 3979.024, dw = -0.05192, nw = 1651 130902.0052.ec.fits: ap = 90, w1 = 4036.083, w2 = 3951.012, dw = -0.05156, nw = 1651 130902.0052.ec.fits: ap = 91, w1 = 4007.869, w2 = 3923.392, dw = -0.0512, nw = 1651 130902.0052.ec.fits: ap = 92, w1 = 3980.048, w2 = 3896.156, dw = -0.05084, nw = 1651 130902.0052.ec.fits: ap = 93, w1 = 3952.61, w2 = 3869.295, dw = -0.05049, nw = 1651 130902.0052.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.802, dw = -0.05015, nw = 1651 130902.0052.ec.fits: ap = 95, w1 = 3898.856, w2 = 3816.67, dw = -0.04981, nw = 1651 130902.0052.ec.fits: ap = 96, w1 = 3872.523, w2 = 3790.89, dw = -0.04947, nw = 1651 130902.0052.ec.fits: ap = 97, w1 = 3846.545, w2 = 3765.457, dw = -0.04914, nw = 1651 130902.0052.ec.fits: ap = 98, w1 = 3820.913, w2 = 3740.363, dw = -0.04882, nw = 1651 130902.0052.ec.fits: ap = 99, w1 = 3795.621, w2 = 3715.601, dw = -0.0485, nw = 1651 130902.0052.ec.fits: ap = 100, w1 = 3770.662, w2 = 3691.164, dw = -0.04818, nw = 1651 130902.0052.ec.fits: ap = 101, w1 = 3746.03, w2 = 3667.047, dw = -0.04787, nw = 1651 130902.0052.ec.fits: ap = 102, w1 = 3721.717, w2 = 3643.244, dw = -0.04756, nw = 1651 130902.0052.ec.fits: ap = 103, w1 = 3697.719, w2 = 3619.747, dw = -0.04726, nw = 1651 130902.0052.ec.fits: ap = 104, w1 = 3674.029, w2 = 3596.552, dw = -0.04696, nw = 1651 130902.0052.ec.fits: ap = 105, w1 = 3650.64, w2 = 3573.651, dw = -0.04666, nw = 1651 130902.0052.ec.fits: ap = 106, w1 = 3627.548, w2 = 3551.041, dw = -0.04637, nw = 1651 130902.0052.ec.fits: ap = 107, w1 = 3604.747, w2 = 3528.715, dw = -0.04608, nw = 1651 130902.0052.ec.fits: ap = 108, w1 = 3582.231, w2 = 3506.668, dw = -0.0458, nw = 1651 130902.0052.ec.fits: ap = 109, w1 = 3559.995, w2 = 3484.895, dw = -0.04552, nw = 1651 130902.0052.ec.fits: ap = 110, w1 = 3538.034, w2 = 3463.39, dw = -0.04524, nw = 1651 130902.0052.ec.fits: ap = 111, w1 = 3516.343, w2 = 3442.149, dw = -0.04497, nw = 1651 130902.0052.ec.fits: ap = 112, w1 = 3494.917, w2 = 3421.167, dw = -0.0447, nw = 1651 130902.0052.ec.fits: ap = 113, w1 = 3473.75, w2 = 3400.439, dw = -0.04443, nw = 1651 130902.0052.ec.fits: ap = 114, w1 = 3452.839, w2 = 3379.961, dw = -0.04417, nw = 1651 130902.0052.ec.fits: ap = 115, w1 = 3432.179, w2 = 3359.728, dw = -0.04391, nw = 1651 130902.0054.ec.fits: REFSPEC1 = 'ThAr.0053.ec 0.50348896' 130902.0054.ec.fits: REFSPEC2 = 'ThAr.0055.ec 0.49651101' 130902.0054.ec.fits: ap = 1, w1 = 10812.14, w2 = 10583.91, dw = -0.13832, nw = 1651 130902.0054.ec.fits: ap = 2, w1 = 10611.92, w2 = 10387.94, dw = -0.13575, nw = 1651 130902.0054.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.08, dw = -0.13328, nw = 1651 130902.0054.ec.fits: ap = 4, w1 = 10232.95, w2 = 10016.98, dw = -0.13089, nw = 1651 130902.0054.ec.fits: ap = 5, w1 = 10053.43, w2 = 9841.257, dw = -0.12859, nw = 1651 130902.0054.ec.fits: ap = 6, w1 = 9880.111, w2 = 9671.598, dw = -0.12637, nw = 1651 130902.0054.ec.fits: ap = 7, w1 = 9712.663, w2 = 9507.689, dw = -0.12423, nw = 1651 130902.0054.ec.fits: ap = 8, w1 = 9550.797, w2 = 9349.245, dw = -0.12215, nw = 1651 130902.0054.ec.fits: ap = 9, w1 = 9394.238, w2 = 9195.994, dw = -0.12015, nw = 1651 130902.0054.ec.fits: ap = 10, w1 = 9242.73, w2 = 9047.687, dw = -0.11821, nw = 1651 130902.0054.ec.fits: ap = 11, w1 = 9096.031, w2 = 8904.088, dw = -0.11633, nw = 1651 130902.0054.ec.fits: ap = 12, w1 = 8953.917, w2 = 8764.976, dw = -0.11451, nw = 1651 130902.0054.ec.fits: ap = 13, w1 = 8816.175, w2 = 8630.144, dw = -0.11275, nw = 1651 130902.0054.ec.fits: ap = 14, w1 = 8682.608, w2 = 8499.398, dw = -0.11104, nw = 1651 130902.0054.ec.fits: ap = 15, w1 = 8553.028, w2 = 8372.555, dw = -0.10938, nw = 1651 130902.0054.ec.fits: ap = 16, w1 = 8427.259, w2 = 8249.442, dw = -0.10777, nw = 1651 130902.0054.ec.fits: ap = 17, w1 = 8305.135, w2 = 8129.898, dw = -0.1062, nw = 1651 130902.0054.ec.fits: ap = 18, w1 = 8186.501, w2 = 8013.769, dw = -0.10469, nw = 1651 130902.0054.ec.fits: ap = 19, w1 = 8071.209, w2 = 7900.912, dw = -0.10321, nw = 1651 130902.0054.ec.fits: ap = 20, w1 = 7959.12, w2 = 7791.189, dw = -0.10178, nw = 1651 130902.0054.ec.fits: ap = 21, w1 = 7850.101, w2 = 7684.473, dw = -0.10038, nw = 1651 130902.0054.ec.fits: ap = 22, w1 = 7744.029, w2 = 7580.641, dw = -0.09902, nw = 1651 130902.0054.ec.fits: ap = 23, w1 = 7640.786, w2 = 7479.577, dw = -0.0977, nw = 1651 130902.0054.ec.fits: ap = 24, w1 = 7540.259, w2 = 7381.173, dw = -0.09642, nw = 1651 130902.0054.ec.fits: ap = 25, w1 = 7442.343, w2 = 7285.325, dw = -0.09516, nw = 1651 130902.0054.ec.fits: ap = 26, w1 = 7346.939, w2 = 7191.935, dw = -0.09394, nw = 1651 130902.0054.ec.fits: ap = 27, w1 = 7253.949, w2 = 7100.909, dw = -0.09275, nw = 1651 130902.0054.ec.fits: ap = 28, w1 = 7163.284, w2 = 7012.158, dw = -0.09159, nw = 1651 130902.0054.ec.fits: ap = 29, w1 = 7074.858, w2 = 6925.599, dw = -0.09046, nw = 1651 130902.0054.ec.fits: ap = 30, w1 = 6988.589, w2 = 6841.152, dw = -0.08936, nw = 1651 130902.0054.ec.fits: ap = 31, w1 = 6904.398, w2 = 6758.739, dw = -0.08828, nw = 1651 130902.0054.ec.fits: ap = 32, w1 = 6822.212, w2 = 6678.288, dw = -0.08723, nw = 1651 130902.0054.ec.fits: ap = 33, w1 = 6741.96, w2 = 6599.731, dw = -0.0862, nw = 1651 130902.0054.ec.fits: ap = 34, w1 = 6663.574, w2 = 6523., dw = -0.0852, nw = 1651 130902.0054.ec.fits: ap = 35, w1 = 6586.99, w2 = 6448.034, dw = -0.08422, nw = 1651 130902.0054.ec.fits: ap = 36, w1 = 6512.147, w2 = 6374.771, dw = -0.08326, nw = 1651 130902.0054.ec.fits: ap = 37, w1 = 6438.985, w2 = 6303.155, dw = -0.08232, nw = 1651 130902.0054.ec.fits: ap = 38, w1 = 6367.45, w2 = 6233.13, dw = -0.08141, nw = 1651 130902.0054.ec.fits: ap = 39, w1 = 6297.486, w2 = 6164.644, dw = -0.08051, nw = 1651 130902.0054.ec.fits: ap = 40, w1 = 6229.044, w2 = 6097.647, dw = -0.07963, nw = 1651 130902.0054.ec.fits: ap = 41, w1 = 6162.073, w2 = 6032.091, dw = -0.07878, nw = 1651 130902.0054.ec.fits: ap = 42, w1 = 6096.527, w2 = 5967.931, dw = -0.07794, nw = 1651 130902.0054.ec.fits: ap = 43, w1 = 6032.361, w2 = 5905.12, dw = -0.07712, nw = 1651 130902.0054.ec.fits: ap = 44, w1 = 5969.532, w2 = 5843.619, dw = -0.07631, nw = 1651 130902.0054.ec.fits: ap = 45, w1 = 5907.999, w2 = 5783.386, dw = -0.07552, nw = 1651 130902.0054.ec.fits: ap = 46, w1 = 5847.721, w2 = 5724.382, dw = -0.07475, nw = 1651 130902.0054.ec.fits: ap = 47, w1 = 5788.661, w2 = 5666.57, dw = -0.07399, nw = 1651 130902.0054.ec.fits: ap = 48, w1 = 5730.782, w2 = 5609.914, dw = -0.07325, nw = 1651 130902.0054.ec.fits: ap = 49, w1 = 5674.05, w2 = 5554.381, dw = -0.07253, nw = 1651 130902.0054.ec.fits: ap = 50, w1 = 5618.43, w2 = 5499.936, dw = -0.07181, nw = 1651 130902.0054.ec.fits: ap = 51, w1 = 5563.89, w2 = 5446.549, dw = -0.07112, nw = 1651 130902.0054.ec.fits: ap = 52, w1 = 5510.398, w2 = 5394.188, dw = -0.07043, nw = 1651 130902.0054.ec.fits: ap = 53, w1 = 5457.926, w2 = 5342.825, dw = -0.06976, nw = 1651 130902.0054.ec.fits: ap = 54, w1 = 5406.444, w2 = 5292.431, dw = -0.0691, nw = 1651 130902.0054.ec.fits: ap = 55, w1 = 5355.924, w2 = 5242.979, dw = -0.06845, nw = 1651 130902.0054.ec.fits: ap = 56, w1 = 5306.34, w2 = 5194.444, dw = -0.06782, nw = 1651 130902.0054.ec.fits: ap = 57, w1 = 5257.666, w2 = 5146.798, dw = -0.06719, nw = 1651 130902.0054.ec.fits: ap = 58, w1 = 5209.876, w2 = 5100.019, dw = -0.06658, nw = 1651 130902.0054.ec.fits: ap = 59, w1 = 5162.948, w2 = 5054.083, dw = -0.06598, nw = 1651 130902.0054.ec.fits: ap = 60, w1 = 5116.858, w2 = 5008.968, dw = -0.06539, nw = 1651 130902.0054.ec.fits: ap = 61, w1 = 5071.584, w2 = 4964.651, dw = -0.06481, nw = 1651 130902.0054.ec.fits: ap = 62, w1 = 5027.104, w2 = 4921.112, dw = -0.06424, nw = 1651 130902.0054.ec.fits: ap = 63, w1 = 4983.398, w2 = 4878.329, dw = -0.06368, nw = 1651 130902.0054.ec.fits: ap = 64, w1 = 4940.446, w2 = 4836.285, dw = -0.06313, nw = 1651 130902.0054.ec.fits: ap = 65, w1 = 4898.228, w2 = 4794.959, dw = -0.06259, nw = 1651 130902.0054.ec.fits: ap = 66, w1 = 4856.725, w2 = 4754.334, dw = -0.06206, nw = 1651 130902.0054.ec.fits: ap = 67, w1 = 4815.921, w2 = 4714.392, dw = -0.06153, nw = 1651 130902.0054.ec.fits: ap = 68, w1 = 4775.796, w2 = 4675.116, dw = -0.06102, nw = 1651 130902.0054.ec.fits: ap = 69, w1 = 4736.335, w2 = 4636.489, dw = -0.06051, nw = 1651 130902.0054.ec.fits: ap = 70, w1 = 4697.521, w2 = 4598.495, dw = -0.06002, nw = 1651 130902.0054.ec.fits: ap = 71, w1 = 4659.338, w2 = 4561.119, dw = -0.05953, nw = 1651 130902.0054.ec.fits: ap = 72, w1 = 4621.771, w2 = 4524.346, dw = -0.05905, nw = 1651 130902.0054.ec.fits: ap = 73, w1 = 4584.806, w2 = 4488.161, dw = -0.05857, nw = 1651 130902.0054.ec.fits: ap = 74, w1 = 4548.427, w2 = 4452.551, dw = -0.05811, nw = 1651 130902.0054.ec.fits: ap = 75, w1 = 4512.622, w2 = 4417.501, dw = -0.05765, nw = 1651 130902.0054.ec.fits: ap = 76, w1 = 4477.376, w2 = 4383., dw = -0.0572, nw = 1651 130902.0054.ec.fits: ap = 77, w1 = 4442.677, w2 = 4349.033, dw = -0.05675, nw = 1651 130902.0054.ec.fits: ap = 78, w1 = 4408.512, w2 = 4315.589, dw = -0.05632, nw = 1651 130902.0054.ec.fits: ap = 79, w1 = 4374.869, w2 = 4282.655, dw = -0.05589, nw = 1651 130902.0054.ec.fits: ap = 80, w1 = 4341.735, w2 = 4250.221, dw = -0.05546, nw = 1651 130902.0054.ec.fits: ap = 81, w1 = 4309.101, w2 = 4218.274, dw = -0.05505, nw = 1651 130902.0054.ec.fits: ap = 82, w1 = 4276.953, w2 = 4186.805, dw = -0.05464, nw = 1651 130902.0054.ec.fits: ap = 83, w1 = 4245.282, w2 = 4155.801, dw = -0.05423, nw = 1651 130902.0054.ec.fits: ap = 84, w1 = 4214.078, w2 = 4125.253, dw = -0.05383, nw = 1651 130902.0054.ec.fits: ap = 85, w1 = 4183.328, w2 = 4095.152, dw = -0.05344, nw = 1651 130902.0054.ec.fits: ap = 86, w1 = 4153.025, w2 = 4065.486, dw = -0.05305, nw = 1651 130902.0054.ec.fits: ap = 87, w1 = 4123.159, w2 = 4036.248, dw = -0.05267, nw = 1651 130902.0054.ec.fits: ap = 88, w1 = 4093.719, w2 = 4007.427, dw = -0.0523, nw = 1651 130902.0054.ec.fits: ap = 89, w1 = 4064.697, w2 = 3979.015, dw = -0.05193, nw = 1651 130902.0054.ec.fits: ap = 90, w1 = 4036.084, w2 = 3951.003, dw = -0.05156, nw = 1651 130902.0054.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130902.0054.ec.fits: ap = 92, w1 = 3980.052, w2 = 3896.147, dw = -0.05085, nw = 1651 130902.0054.ec.fits: ap = 93, w1 = 3952.616, w2 = 3869.286, dw = -0.0505, nw = 1651 130902.0054.ec.fits: ap = 94, w1 = 3925.556, w2 = 3842.793, dw = -0.05016, nw = 1651 130902.0054.ec.fits: ap = 95, w1 = 3898.865, w2 = 3816.66, dw = -0.04982, nw = 1651 130902.0054.ec.fits: ap = 96, w1 = 3872.535, w2 = 3790.881, dw = -0.04949, nw = 1651 130902.0054.ec.fits: ap = 97, w1 = 3846.558, w2 = 3765.448, dw = -0.04916, nw = 1651 130902.0054.ec.fits: ap = 98, w1 = 3820.929, w2 = 3740.353, dw = -0.04883, nw = 1651 130902.0054.ec.fits: ap = 99, w1 = 3795.639, w2 = 3715.591, dw = -0.04851, nw = 1651 130902.0054.ec.fits: ap = 100, w1 = 3770.683, w2 = 3691.155, dw = -0.0482, nw = 1651 130902.0054.ec.fits: ap = 101, w1 = 3746.053, w2 = 3667.038, dw = -0.04789, nw = 1651 130902.0054.ec.fits: ap = 102, w1 = 3721.743, w2 = 3643.235, dw = -0.04758, nw = 1651 130902.0054.ec.fits: ap = 103, w1 = 3697.748, w2 = 3619.738, dw = -0.04728, nw = 1651 130902.0054.ec.fits: ap = 104, w1 = 3674.061, w2 = 3596.543, dw = -0.04698, nw = 1651 130902.0054.ec.fits: ap = 105, w1 = 3650.676, w2 = 3573.643, dw = -0.04669, nw = 1651 130902.0054.ec.fits: ap = 106, w1 = 3627.587, w2 = 3551.032, dw = -0.0464, nw = 1651 130902.0054.ec.fits: ap = 107, w1 = 3604.79, w2 = 3528.706, dw = -0.04611, nw = 1651 130902.0054.ec.fits: ap = 108, w1 = 3582.278, w2 = 3506.659, dw = -0.04583, nw = 1651 130902.0054.ec.fits: ap = 109, w1 = 3560.046, w2 = 3484.886, dw = -0.04555, nw = 1651 130902.0054.ec.fits: ap = 110, w1 = 3538.089, w2 = 3463.382, dw = -0.04528, nw = 1651 130902.0054.ec.fits: ap = 111, w1 = 3516.402, w2 = 3442.141, dw = -0.04501, nw = 1651 130902.0054.ec.fits: ap = 112, w1 = 3494.98, w2 = 3421.159, dw = -0.04474, nw = 1651 130902.0054.ec.fits: ap = 113, w1 = 3473.818, w2 = 3400.431, dw = -0.04448, nw = 1651 130902.0054.ec.fits: ap = 114, w1 = 3452.912, w2 = 3379.953, dw = -0.04422, nw = 1651 130902.0054.ec.fits: ap = 115, w1 = 3432.257, w2 = 3359.72, dw = -0.04396, nw = 1651 130902.0056.ec.fits: REFSPEC1 = 'ThAr.0055.ec 1.' 130902.0056.ec.fits: ap = 1, w1 = 10812.14, w2 = 10583.93, dw = -0.13831, nw = 1651 130902.0056.ec.fits: ap = 2, w1 = 10611.92, w2 = 10387.95, dw = -0.13574, nw = 1651 130902.0056.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.09, dw = -0.13327, nw = 1651 130902.0056.ec.fits: ap = 4, w1 = 10232.95, w2 = 10016.98, dw = -0.13089, nw = 1651 130902.0056.ec.fits: ap = 5, w1 = 10053.43, w2 = 9841.264, dw = -0.12859, nw = 1651 130902.0056.ec.fits: ap = 6, w1 = 9880.106, w2 = 9671.603, dw = -0.12637, nw = 1651 130902.0056.ec.fits: ap = 7, w1 = 9712.657, w2 = 9507.693, dw = -0.12422, nw = 1651 130902.0056.ec.fits: ap = 8, w1 = 9550.791, w2 = 9349.247, dw = -0.12215, nw = 1651 130902.0056.ec.fits: ap = 9, w1 = 9394.231, w2 = 9195.995, dw = -0.12014, nw = 1651 130902.0056.ec.fits: ap = 10, w1 = 9242.722, w2 = 9047.687, dw = -0.1182, nw = 1651 130902.0056.ec.fits: ap = 11, w1 = 9096.024, w2 = 8904.087, dw = -0.11633, nw = 1651 130902.0056.ec.fits: ap = 12, w1 = 8953.909, w2 = 8764.975, dw = -0.11451, nw = 1651 130902.0056.ec.fits: ap = 13, w1 = 8816.168, w2 = 8630.142, dw = -0.11274, nw = 1651 130902.0056.ec.fits: ap = 14, w1 = 8682.601, w2 = 8499.396, dw = -0.11103, nw = 1651 130902.0056.ec.fits: ap = 15, w1 = 8553.021, w2 = 8372.552, dw = -0.10937, nw = 1651 130902.0056.ec.fits: ap = 16, w1 = 8427.252, w2 = 8249.44, dw = -0.10777, nw = 1651 130902.0056.ec.fits: ap = 17, w1 = 8305.129, w2 = 8129.895, dw = -0.1062, nw = 1651 130902.0056.ec.fits: ap = 18, w1 = 8186.495, w2 = 8013.766, dw = -0.10468, nw = 1651 130902.0056.ec.fits: ap = 19, w1 = 8071.203, w2 = 7900.908, dw = -0.10321, nw = 1651 130902.0056.ec.fits: ap = 20, w1 = 7959.114, w2 = 7791.186, dw = -0.10177, nw = 1651 130902.0056.ec.fits: ap = 21, w1 = 7850.096, w2 = 7684.469, dw = -0.10038, nw = 1651 130902.0056.ec.fits: ap = 22, w1 = 7744.024, w2 = 7580.637, dw = -0.09902, nw = 1651 130902.0056.ec.fits: ap = 23, w1 = 7640.781, w2 = 7479.573, dw = -0.0977, nw = 1651 130902.0056.ec.fits: ap = 24, w1 = 7540.255, w2 = 7381.169, dw = -0.09642, nw = 1651 130902.0056.ec.fits: ap = 25, w1 = 7442.339, w2 = 7285.321, dw = -0.09516, nw = 1651 130902.0056.ec.fits: ap = 26, w1 = 7346.935, w2 = 7191.931, dw = -0.09394, nw = 1651 130902.0056.ec.fits: ap = 27, w1 = 7253.946, w2 = 7100.905, dw = -0.09275, nw = 1651 130902.0056.ec.fits: ap = 28, w1 = 7163.281, w2 = 7012.154, dw = -0.09159, nw = 1651 130902.0056.ec.fits: ap = 29, w1 = 7074.856, w2 = 6925.595, dw = -0.09046, nw = 1651 130902.0056.ec.fits: ap = 30, w1 = 6988.586, w2 = 6841.148, dw = -0.08936, nw = 1651 130902.0056.ec.fits: ap = 31, w1 = 6904.396, w2 = 6758.735, dw = -0.08828, nw = 1651 130902.0056.ec.fits: ap = 32, w1 = 6822.21, w2 = 6678.285, dw = -0.08723, nw = 1651 130902.0056.ec.fits: ap = 33, w1 = 6741.958, w2 = 6599.727, dw = -0.0862, nw = 1651 130902.0056.ec.fits: ap = 34, w1 = 6663.573, w2 = 6522.997, dw = -0.0852, nw = 1651 130902.0056.ec.fits: ap = 35, w1 = 6586.989, w2 = 6448.03, dw = -0.08422, nw = 1651 130902.0056.ec.fits: ap = 36, w1 = 6512.146, w2 = 6374.768, dw = -0.08326, nw = 1651 130902.0056.ec.fits: ap = 37, w1 = 6438.984, w2 = 6303.151, dw = -0.08232, nw = 1651 130902.0056.ec.fits: ap = 38, w1 = 6367.449, w2 = 6233.127, dw = -0.08141, nw = 1651 130902.0056.ec.fits: ap = 39, w1 = 6297.485, w2 = 6164.641, dw = -0.08051, nw = 1651 130902.0056.ec.fits: ap = 40, w1 = 6229.043, w2 = 6097.644, dw = -0.07964, nw = 1651 130902.0056.ec.fits: ap = 41, w1 = 6162.072, w2 = 6032.088, dw = -0.07878, nw = 1651 130902.0056.ec.fits: ap = 42, w1 = 6096.526, w2 = 5967.927, dw = -0.07794, nw = 1651 130902.0056.ec.fits: ap = 43, w1 = 6032.361, w2 = 5905.117, dw = -0.07712, nw = 1651 130902.0056.ec.fits: ap = 44, w1 = 5969.532, w2 = 5843.616, dw = -0.07631, nw = 1651 130902.0056.ec.fits: ap = 45, w1 = 5907.998, w2 = 5783.382, dw = -0.07552, nw = 1651 130902.0056.ec.fits: ap = 46, w1 = 5847.72, w2 = 5724.378, dw = -0.07475, nw = 1651 130902.0056.ec.fits: ap = 47, w1 = 5788.66, w2 = 5666.566, dw = -0.074, nw = 1651 130902.0056.ec.fits: ap = 48, w1 = 5730.781, w2 = 5609.911, dw = -0.07325, nw = 1651 130902.0056.ec.fits: ap = 49, w1 = 5674.049, w2 = 5554.377, dw = -0.07253, nw = 1651 130902.0056.ec.fits: ap = 50, w1 = 5618.428, w2 = 5499.933, dw = -0.07182, nw = 1651 130902.0056.ec.fits: ap = 51, w1 = 5563.888, w2 = 5446.545, dw = -0.07112, nw = 1651 130902.0056.ec.fits: ap = 52, w1 = 5510.397, w2 = 5394.185, dw = -0.07043, nw = 1651 130902.0056.ec.fits: ap = 53, w1 = 5457.924, w2 = 5342.821, dw = -0.06976, nw = 1651 130902.0056.ec.fits: ap = 54, w1 = 5406.442, w2 = 5292.427, dw = -0.0691, nw = 1651 130902.0056.ec.fits: ap = 55, w1 = 5355.922, w2 = 5242.975, dw = -0.06845, nw = 1651 130902.0056.ec.fits: ap = 56, w1 = 5306.337, w2 = 5194.439, dw = -0.06782, nw = 1651 130902.0056.ec.fits: ap = 57, w1 = 5257.663, w2 = 5146.794, dw = -0.06719, nw = 1651 130902.0056.ec.fits: ap = 58, w1 = 5209.873, w2 = 5100.015, dw = -0.06658, nw = 1651 130902.0056.ec.fits: ap = 59, w1 = 5162.945, w2 = 5054.079, dw = -0.06598, nw = 1651 130902.0056.ec.fits: ap = 60, w1 = 5116.854, w2 = 5008.963, dw = -0.06539, nw = 1651 130902.0056.ec.fits: ap = 61, w1 = 5071.58, w2 = 4964.646, dw = -0.06481, nw = 1651 130902.0056.ec.fits: ap = 62, w1 = 5027.1, w2 = 4921.106, dw = -0.06424, nw = 1651 130902.0056.ec.fits: ap = 63, w1 = 4983.394, w2 = 4878.324, dw = -0.06368, nw = 1651 130902.0056.ec.fits: ap = 64, w1 = 4940.441, w2 = 4836.279, dw = -0.06313, nw = 1651 130902.0056.ec.fits: ap = 65, w1 = 4898.223, w2 = 4794.954, dw = -0.06259, nw = 1651 130902.0056.ec.fits: ap = 66, w1 = 4856.72, w2 = 4754.328, dw = -0.06206, nw = 1651 130902.0056.ec.fits: ap = 67, w1 = 4815.915, w2 = 4714.386, dw = -0.06153, nw = 1651 130902.0056.ec.fits: ap = 68, w1 = 4775.79, w2 = 4675.109, dw = -0.06102, nw = 1651 130902.0056.ec.fits: ap = 69, w1 = 4736.329, w2 = 4636.482, dw = -0.06051, nw = 1651 130902.0056.ec.fits: ap = 70, w1 = 4697.515, w2 = 4598.488, dw = -0.06002, nw = 1651 130902.0056.ec.fits: ap = 71, w1 = 4659.332, w2 = 4561.112, dw = -0.05953, nw = 1651 130902.0056.ec.fits: ap = 72, w1 = 4621.765, w2 = 4524.339, dw = -0.05905, nw = 1651 130902.0056.ec.fits: ap = 73, w1 = 4584.8, w2 = 4488.154, dw = -0.05857, nw = 1651 130902.0056.ec.fits: ap = 74, w1 = 4548.421, w2 = 4452.543, dw = -0.05811, nw = 1651 130902.0056.ec.fits: ap = 75, w1 = 4512.616, w2 = 4417.494, dw = -0.05765, nw = 1651 130902.0056.ec.fits: ap = 76, w1 = 4477.37, w2 = 4382.992, dw = -0.0572, nw = 1651 130902.0056.ec.fits: ap = 77, w1 = 4442.671, w2 = 4349.025, dw = -0.05675, nw = 1651 130902.0056.ec.fits: ap = 78, w1 = 4408.506, w2 = 4315.581, dw = -0.05632, nw = 1651 130902.0056.ec.fits: ap = 79, w1 = 4374.863, w2 = 4282.648, dw = -0.05589, nw = 1651 130902.0056.ec.fits: ap = 80, w1 = 4341.73, w2 = 4250.213, dw = -0.05546, nw = 1651 130902.0056.ec.fits: ap = 81, w1 = 4309.095, w2 = 4218.266, dw = -0.05505, nw = 1651 130902.0056.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.797, dw = -0.05464, nw = 1651 130902.0056.ec.fits: ap = 83, w1 = 4245.278, w2 = 4155.793, dw = -0.05423, nw = 1651 130902.0056.ec.fits: ap = 84, w1 = 4214.073, w2 = 4125.245, dw = -0.05383, nw = 1651 130902.0056.ec.fits: ap = 85, w1 = 4183.325, w2 = 4095.144, dw = -0.05344, nw = 1651 130902.0056.ec.fits: ap = 86, w1 = 4153.022, w2 = 4065.479, dw = -0.05306, nw = 1651 130902.0056.ec.fits: ap = 87, w1 = 4123.156, w2 = 4036.24, dw = -0.05268, nw = 1651 130902.0056.ec.fits: ap = 88, w1 = 4093.717, w2 = 4007.42, dw = -0.0523, nw = 1651 130902.0056.ec.fits: ap = 89, w1 = 4064.696, w2 = 3979.008, dw = -0.05193, nw = 1651 130902.0056.ec.fits: ap = 90, w1 = 4036.084, w2 = 3950.996, dw = -0.05157, nw = 1651 130902.0056.ec.fits: ap = 91, w1 = 4007.873, w2 = 3923.376, dw = -0.05121, nw = 1651 130902.0056.ec.fits: ap = 92, w1 = 3980.053, w2 = 3896.14, dw = -0.05086, nw = 1651 130902.0056.ec.fits: ap = 93, w1 = 3952.619, w2 = 3869.28, dw = -0.05051, nw = 1651 130902.0056.ec.fits: ap = 94, w1 = 3925.56, w2 = 3842.787, dw = -0.05017, nw = 1651 130902.0056.ec.fits: ap = 95, w1 = 3898.87, w2 = 3816.655, dw = -0.04983, nw = 1651 130902.0056.ec.fits: ap = 96, w1 = 3872.541, w2 = 3790.876, dw = -0.04949, nw = 1651 130902.0056.ec.fits: ap = 97, w1 = 3846.566, w2 = 3765.444, dw = -0.04917, nw = 1651 130902.0056.ec.fits: ap = 98, w1 = 3820.938, w2 = 3740.35, dw = -0.04884, nw = 1651 130902.0056.ec.fits: ap = 99, w1 = 3795.65, w2 = 3715.589, dw = -0.04852, nw = 1651 130902.0056.ec.fits: ap = 100, w1 = 3770.696, w2 = 3691.153, dw = -0.04821, nw = 1651 130902.0056.ec.fits: ap = 101, w1 = 3746.068, w2 = 3667.037, dw = -0.0479, nw = 1651 130902.0056.ec.fits: ap = 102, w1 = 3721.76, w2 = 3643.234, dw = -0.04759, nw = 1651 130902.0056.ec.fits: ap = 103, w1 = 3697.767, w2 = 3619.738, dw = -0.04729, nw = 1651 130902.0056.ec.fits: ap = 104, w1 = 3674.082, w2 = 3596.544, dw = -0.04699, nw = 1651 130902.0056.ec.fits: ap = 105, w1 = 3650.699, w2 = 3573.645, dw = -0.0467, nw = 1651 130902.0056.ec.fits: ap = 106, w1 = 3627.613, w2 = 3551.036, dw = -0.04641, nw = 1651 130902.0056.ec.fits: ap = 107, w1 = 3604.818, w2 = 3528.711, dw = -0.04613, nw = 1651 130902.0056.ec.fits: ap = 108, w1 = 3582.309, w2 = 3506.665, dw = -0.04584, nw = 1651 130902.0056.ec.fits: ap = 109, w1 = 3560.08, w2 = 3484.893, dw = -0.04557, nw = 1651 130902.0056.ec.fits: ap = 110, w1 = 3538.126, w2 = 3463.39, dw = -0.04529, nw = 1651 130902.0056.ec.fits: ap = 111, w1 = 3516.442, w2 = 3442.15, dw = -0.04503, nw = 1651 130902.0056.ec.fits: ap = 112, w1 = 3495.024, w2 = 3421.17, dw = -0.04476, nw = 1651 130902.0056.ec.fits: ap = 113, w1 = 3473.866, w2 = 3400.444, dw = -0.0445, nw = 1651 130902.0056.ec.fits: ap = 114, w1 = 3452.963, w2 = 3379.968, dw = -0.04424, nw = 1651 130902.0056.ec.fits: ap = 115, w1 = 3432.312, w2 = 3359.736, dw = -0.04399, nw = 1651 130902_ThAr.0021.ec.fits: REFSPEC1 = '130902_ThAr.0021.ec 1.' z130902_ThAr.0021.ec.fits: ap = 1, w1 = 10812.3, w2 = 10584.1, dw = -0.1383, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 2, w1 = 10612.08, w2 = 10388.12, dw = -0.13574, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 3, w1 = 10419.15, w2 = 10199.26, dw = -0.13326, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.15, dw = -0.13088, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 5, w1 = 10053.59, w2 = 9841.43, dw = -0.12858, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 6, w1 = 9880.263, w2 = 9671.769, dw = -0.12636, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 7, w1 = 9712.813, w2 = 9507.859, dw = -0.12421, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 8, w1 = 9550.944, w2 = 9349.412, dw = -0.12214, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 9, w1 = 9394.383, w2 = 9196.16, dw = -0.12014, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 10, w1 = 9242.873, w2 = 9047.851, dw = -0.1182, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 11, w1 = 9096.172, w2 = 8904.251, dw = -0.11632, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 12, w1 = 8954.056, w2 = 8765.137, dw = -0.1145, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 13, w1 = 8816.313, w2 = 8630.304, dw = -0.11273, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 14, w1 = 8682.744, w2 = 8499.557, dw = -0.11102, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 15, w1 = 8553.162, w2 = 8372.713, dw = -0.10936, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 16, w1 = 8427.391, w2 = 8249.599, dw = -0.10775, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 17, w1 = 8305.266, w2 = 8130.054, dw = -0.10619, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 18, w1 = 8186.63, w2 = 8013.924, dw = -0.10467, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 19, w1 = 8071.336, w2 = 7901.065, dw = -0.10319, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 20, w1 = 7959.245, w2 = 7791.341, dw = -0.10176, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 21, w1 = 7850.225, w2 = 7684.623, dw = -0.10036, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 22, w1 = 7744.151, w2 = 7580.79, dw = -0.09901, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 23, w1 = 7640.906, w2 = 7479.725, dw = -0.09769, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 24, w1 = 7540.378, w2 = 7381.32, dw = -0.0964, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 25, w1 = 7442.461, w2 = 7285.471, dw = -0.09515, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 26, w1 = 7347.055, w2 = 7192.08, dw = -0.09392, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 27, w1 = 7254.065, w2 = 7101.052, dw = -0.09273, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 28, w1 = 7163.399, w2 = 7012.301, dw = -0.09157, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 29, w1 = 7074.971, w2 = 6925.741, dw = -0.09044, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 30, w1 = 6988.701, w2 = 6841.292, dw = -0.08934, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 31, w1 = 6904.509, w2 = 6758.878, dw = -0.08826, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 32, w1 = 6822.322, w2 = 6678.426, dw = -0.08721, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 33, w1 = 6742.069, w2 = 6599.868, dw = -0.08618, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 34, w1 = 6663.682, w2 = 6523.136, dw = -0.08518, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 35, w1 = 6587.097, w2 = 6448.168, dw = -0.0842, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 36, w1 = 6512.253, w2 = 6374.904, dw = -0.08324, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 37, w1 = 6439.091, w2 = 6303.287, dw = -0.08231, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 38, w1 = 6367.554, w2 = 6233.261, dw = -0.08139, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 39, w1 = 6297.59, w2 = 6164.774, dw = -0.08049, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 40, w1 = 6229.147, w2 = 6097.776, dw = -0.07962, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 41, w1 = 6162.176, w2 = 6032.219, dw = -0.07876, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 42, w1 = 6096.629, w2 = 5968.057, dw = -0.07792, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 43, w1 = 6032.463, w2 = 5905.245, dw = -0.0771, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 44, w1 = 5969.633, w2 = 5843.743, dw = -0.0763, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 45, w1 = 5908.099, w2 = 5783.508, dw = -0.07551, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 46, w1 = 5847.821, w2 = 5724.503, dw = -0.07474, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 47, w1 = 5788.761, w2 = 5666.689, dw = -0.07398, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 48, w1 = 5730.881, w2 = 5610.033, dw = -0.07324, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 49, w1 = 5674.148, w2 = 5554.498, dw = -0.07252, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 50, w1 = 5618.528, w2 = 5500.052, dw = -0.0718, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 51, w1 = 5563.987, w2 = 5446.663, dw = -0.07111, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 52, w1 = 5510.496, w2 = 5394.302, dw = -0.07042, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 53, w1 = 5458.023, w2 = 5342.937, dw = -0.06975, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 54, w1 = 5406.54, w2 = 5292.542, dw = -0.06909, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 55, w1 = 5356.02, w2 = 5243.089, dw = -0.06844, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 56, w1 = 5306.435, w2 = 5194.552, dw = -0.06781, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 57, w1 = 5257.76, w2 = 5146.905, dw = -0.06718, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 58, w1 = 5209.971, w2 = 5100.125, dw = -0.06657, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 59, w1 = 5163.042, w2 = 5054.188, dw = -0.06597, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 60, w1 = 5116.951, w2 = 5009.071, dw = -0.06538, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 61, w1 = 5071.676, w2 = 4964.753, dw = -0.0648, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 62, w1 = 5027.196, w2 = 4921.212, dw = -0.06423, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 63, w1 = 4983.489, w2 = 4878.429, dw = -0.06367, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 64, w1 = 4940.536, w2 = 4836.383, dw = -0.06312, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 65, w1 = 4898.317, w2 = 4795.056, dw = -0.06258, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 66, w1 = 4856.814, w2 = 4754.43, dw = -0.06205, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 67, w1 = 4816.008, w2 = 4714.487, dw = -0.06153, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 68, w1 = 4775.883, w2 = 4675.209, dw = -0.06101, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 69, w1 = 4736.421, w2 = 4636.581, dw = -0.06051, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 70, w1 = 4697.606, w2 = 4598.586, dw = -0.06001, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 71, w1 = 4659.422, w2 = 4561.209, dw = -0.05952, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 72, w1 = 4621.854, w2 = 4524.435, dw = -0.05904, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 73, w1 = 4584.887, w2 = 4488.249, dw = -0.05857, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 74, w1 = 4548.507, w2 = 4452.638, dw = -0.0581, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 75, w1 = 4512.7, w2 = 4417.587, dw = -0.05764, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 76, w1 = 4477.453, w2 = 4383.085, dw = -0.05719, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 77, w1 = 4442.752, w2 = 4349.117, dw = -0.05675, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 78, w1 = 4408.585, w2 = 4315.672, dw = -0.05631, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 79, w1 = 4374.94, w2 = 4282.738, dw = -0.05588, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 80, w1 = 4341.805, w2 = 4250.303, dw = -0.05546, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 81, w1 = 4309.168, w2 = 4218.355, dw = -0.05504, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 82, w1 = 4277.018, w2 = 4186.885, dw = -0.05463, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 83, w1 = 4245.345, w2 = 4155.881, dw = -0.05422, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 84, w1 = 4214.138, w2 = 4125.332, dw = -0.05382, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 85, w1 = 4183.386, w2 = 4095.23, dw = -0.05343, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 86, w1 = 4153.08, w2 = 4065.564, dw = -0.05304, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 87, w1 = 4123.211, w2 = 4036.325, dw = -0.05266, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 88, w1 = 4093.768, w2 = 4007.504, dw = -0.05228, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 89, w1 = 4064.743, w2 = 3979.092, dw = -0.05191, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 90, w1 = 4036.127, w2 = 3951.08, dw = -0.05154, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 91, w1 = 4007.911, w2 = 3923.459, dw = -0.05118, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 92, w1 = 3980.087, w2 = 3896.223, dw = -0.05083, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 93, w1 = 3952.647, w2 = 3869.362, dw = -0.05048, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 94, w1 = 3925.584, w2 = 3842.869, dw = -0.05013, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 95, w1 = 3898.888, w2 = 3816.736, dw = -0.04979, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 96, w1 = 3872.554, w2 = 3790.957, dw = -0.04945, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 97, w1 = 3846.573, w2 = 3765.524, dw = -0.04912, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 98, w1 = 3820.939, w2 = 3740.43, dw = -0.04879, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 99, w1 = 3795.644, w2 = 3715.668, dw = -0.04847, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 100, w1 = 3770.683, w2 = 3691.232, dw = -0.04815, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 101, w1 = 3746.048, w2 = 3667.116, dw = -0.04784, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 102, w1 = 3721.733, w2 = 3643.313, dw = -0.04753, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 103, w1 = 3697.731, w2 = 3619.817, dw = -0.04722, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 104, w1 = 3674.038, w2 = 3596.622, dw = -0.04692, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 105, w1 = 3650.647, w2 = 3573.723, dw = -0.04662, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 106, w1 = 3627.552, w2 = 3551.114, dw = -0.04633, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 107, w1 = 3604.748, w2 = 3528.789, dw = -0.04604, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 108, w1 = 3582.229, w2 = 3506.743, dw = -0.04575, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 109, w1 = 3559.99, w2 = 3484.971, dw = -0.04547, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 110, w1 = 3538.026, w2 = 3463.468, dw = -0.04519, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 111, w1 = 3516.331, w2 = 3442.228, dw = -0.04491, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 112, w1 = 3494.902, w2 = 3421.248, dw = -0.04464, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 113, w1 = 3473.732, w2 = 3400.522, dw = -0.04437, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 114, w1 = 3452.817, w2 = 3380.046, dw = -0.0441, nw = 1651 z130902_ThAr.0021.ec.fits: ap = 115, w1 = 3432.153, w2 = 3359.814, dw = -0.04384, nw = 1651 130902_ThAr.0024.ec.fits: REFSPEC1 = '130902_ThAr.0024.ec 1.' z130902_ThAr.0024.ec.fits: ap = 1, w1 = 10812.24, w2 = 10584.08, dw = -0.13828, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 2, w1 = 10612.04, w2 = 10388.11, dw = -0.13572, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 3, w1 = 10419.11, w2 = 10199.25, dw = -0.13325, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 4, w1 = 10233.08, w2 = 10017.14, dw = -0.13087, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 5, w1 = 10053.57, w2 = 9841.425, dw = -0.12857, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 6, w1 = 9880.248, w2 = 9671.765, dw = -0.12635, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 7, w1 = 9712.804, w2 = 9507.855, dw = -0.12421, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 8, w1 = 9550.94, w2 = 9349.409, dw = -0.12214, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 9, w1 = 9394.383, w2 = 9196.157, dw = -0.12014, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 10, w1 = 9242.875, w2 = 9047.848, dw = -0.1182, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 11, w1 = 9096.177, w2 = 8904.247, dw = -0.11632, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 12, w1 = 8954.063, w2 = 8765.134, dw = -0.1145, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 13, w1 = 8816.321, w2 = 8630.3, dw = -0.11274, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 14, w1 = 8682.753, w2 = 8499.552, dw = -0.11103, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 15, w1 = 8553.171, w2 = 8372.707, dw = -0.10937, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 16, w1 = 8427.401, w2 = 8249.593, dw = -0.10776, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 17, w1 = 8305.276, w2 = 8130.047, dw = -0.1062, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 18, w1 = 8186.64, w2 = 8013.916, dw = -0.10468, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 19, w1 = 8071.346, w2 = 7901.056, dw = -0.10321, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 20, w1 = 7959.254, w2 = 7791.332, dw = -0.10177, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 21, w1 = 7850.233, w2 = 7684.613, dw = -0.10038, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 22, w1 = 7744.159, w2 = 7580.779, dw = -0.09902, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 23, w1 = 7640.913, w2 = 7479.713, dw = -0.0977, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 24, w1 = 7540.384, w2 = 7381.307, dw = -0.09641, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 25, w1 = 7442.466, w2 = 7285.457, dw = -0.09516, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.065, dw = -0.09394, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.037, dw = -0.09275, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 28, w1 = 7163.399, w2 = 7012.285, dw = -0.09158, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 29, w1 = 7074.971, w2 = 6925.724, dw = -0.09045, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 30, w1 = 6988.699, w2 = 6841.275, dw = -0.08935, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 31, w1 = 6904.507, w2 = 6758.861, dw = -0.08827, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 32, w1 = 6822.319, w2 = 6678.408, dw = -0.08722, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 33, w1 = 6742.064, w2 = 6599.849, dw = -0.08619, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 34, w1 = 6663.676, w2 = 6523.117, dw = -0.08519, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 35, w1 = 6587.091, w2 = 6448.149, dw = -0.08421, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 36, w1 = 6512.246, w2 = 6374.885, dw = -0.08325, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 37, w1 = 6439.083, w2 = 6303.268, dw = -0.08231, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 38, w1 = 6367.545, w2 = 6233.242, dw = -0.0814, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 39, w1 = 6297.581, w2 = 6164.755, dw = -0.0805, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 40, w1 = 6229.137, w2 = 6097.757, dw = -0.07962, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 41, w1 = 6162.165, w2 = 6032.2, dw = -0.07877, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 42, w1 = 6096.618, w2 = 5968.038, dw = -0.07793, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 43, w1 = 6032.452, w2 = 5905.227, dw = -0.07711, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 44, w1 = 5969.622, w2 = 5843.725, dw = -0.0763, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 45, w1 = 5908.087, w2 = 5783.49, dw = -0.07551, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 46, w1 = 5847.809, w2 = 5724.485, dw = -0.07474, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 47, w1 = 5788.749, w2 = 5666.673, dw = -0.07399, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 48, w1 = 5730.869, w2 = 5610.016, dw = -0.07324, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 49, w1 = 5674.136, w2 = 5554.482, dw = -0.07252, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 50, w1 = 5618.516, w2 = 5500.037, dw = -0.07181, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 51, w1 = 5563.975, w2 = 5446.649, dw = -0.07111, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 52, w1 = 5510.484, w2 = 5394.287, dw = -0.07042, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 53, w1 = 5458.011, w2 = 5342.924, dw = -0.06975, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 54, w1 = 5406.529, w2 = 5292.529, dw = -0.06909, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 55, w1 = 5356.009, w2 = 5243.077, dw = -0.06844, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 56, w1 = 5306.424, w2 = 5194.54, dw = -0.06781, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 57, w1 = 5257.75, w2 = 5146.894, dw = -0.06719, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 58, w1 = 5209.96, w2 = 5100.114, dw = -0.06657, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 59, w1 = 5163.032, w2 = 5054.178, dw = -0.06597, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 60, w1 = 5116.941, w2 = 5009.062, dw = -0.06538, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 61, w1 = 5071.667, w2 = 4964.744, dw = -0.0648, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 62, w1 = 5027.186, w2 = 4921.204, dw = -0.06423, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 63, w1 = 4983.48, w2 = 4878.421, dw = -0.06367, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 64, w1 = 4940.526, w2 = 4836.376, dw = -0.06312, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 65, w1 = 4898.308, w2 = 4795.049, dw = -0.06258, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 66, w1 = 4856.804, w2 = 4754.423, dw = -0.06205, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 67, w1 = 4815.998, w2 = 4714.48, dw = -0.06153, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 68, w1 = 4775.873, w2 = 4675.203, dw = -0.06101, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 69, w1 = 4736.41, w2 = 4636.574, dw = -0.06051, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 70, w1 = 4697.594, w2 = 4598.579, dw = -0.06001, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 71, w1 = 4659.41, w2 = 4561.202, dw = -0.05952, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 72, w1 = 4621.841, w2 = 4524.428, dw = -0.05904, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 73, w1 = 4584.873, w2 = 4488.242, dw = -0.05856, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 74, w1 = 4548.492, w2 = 4452.63, dw = -0.0581, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 75, w1 = 4512.684, w2 = 4417.579, dw = -0.05764, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 76, w1 = 4477.435, w2 = 4383.076, dw = -0.05719, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 77, w1 = 4442.732, w2 = 4349.107, dw = -0.05674, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 78, w1 = 4408.563, w2 = 4315.661, dw = -0.0563, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 79, w1 = 4374.916, w2 = 4282.726, dw = -0.05587, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 80, w1 = 4341.778, w2 = 4250.289, dw = -0.05545, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 81, w1 = 4309.139, w2 = 4218.34, dw = -0.05503, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 82, w1 = 4276.986, w2 = 4186.868, dw = -0.05462, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 83, w1 = 4245.31, w2 = 4155.862, dw = -0.05421, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 84, w1 = 4214.099, w2 = 4125.312, dw = -0.05381, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 85, w1 = 4183.344, w2 = 4095.207, dw = -0.05342, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 86, w1 = 4153.034, w2 = 4065.539, dw = -0.05303, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 87, w1 = 4123.159, w2 = 4036.298, dw = -0.05264, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 88, w1 = 4093.712, w2 = 4007.473, dw = -0.05227, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 89, w1 = 4064.681, w2 = 3979.058, dw = -0.05189, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 90, w1 = 4036.06, w2 = 3951.043, dw = -0.05153, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 91, w1 = 4007.838, w2 = 3923.419, dw = -0.05116, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 92, w1 = 3980.008, w2 = 3896.178, dw = -0.05081, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 93, w1 = 3952.561, w2 = 3869.313, dw = -0.05045, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 94, w1 = 3925.49, w2 = 3842.816, dw = -0.05011, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 95, w1 = 3898.787, w2 = 3816.679, dw = -0.04976, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 96, w1 = 3872.445, w2 = 3790.895, dw = -0.04942, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 97, w1 = 3846.455, w2 = 3765.456, dw = -0.04909, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 98, w1 = 3820.812, w2 = 3740.356, dw = -0.04876, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 99, w1 = 3795.508, w2 = 3715.589, dw = -0.04844, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 100, w1 = 3770.536, w2 = 3691.147, dw = -0.04811, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 101, w1 = 3745.89, w2 = 3667.024, dw = -0.0478, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 102, w1 = 3721.564, w2 = 3643.214, dw = -0.04748, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 103, w1 = 3697.551, w2 = 3619.711, dw = -0.04718, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 104, w1 = 3673.846, w2 = 3596.509, dw = -0.04687, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 105, w1 = 3650.442, w2 = 3573.602, dw = -0.04657, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 106, w1 = 3627.334, w2 = 3550.984, dw = -0.04627, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 107, w1 = 3604.515, w2 = 3528.65, dw = -0.04598, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 108, w1 = 3581.981, w2 = 3506.595, dw = -0.04569, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 109, w1 = 3559.727, w2 = 3484.814, dw = -0.0454, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 110, w1 = 3537.747, w2 = 3463.301, dw = -0.04512, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 111, w1 = 3516.036, w2 = 3442.051, dw = -0.04484, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 112, w1 = 3494.588, w2 = 3421.06, dw = -0.04456, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 113, w1 = 3473.4, w2 = 3400.323, dw = -0.04429, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 114, w1 = 3452.467, w2 = 3379.835, dw = -0.04402, nw = 1651 z130902_ThAr.0024.ec.fits: ap = 115, w1 = 3431.784, w2 = 3359.592, dw = -0.04375, nw = 1651 130902_ThAr.0028.ec.fits: REFSPEC1 = '130902_ThAr.0028.ec 1.' z130902_ThAr.0028.ec.fits: ap = 1, w1 = 10812.22, w2 = 10584., dw = -0.13832, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 2, w1 = 10612.02, w2 = 10388.03, dw = -0.13575, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 3, w1 = 10419.09, w2 = 10199.18, dw = -0.13328, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 4, w1 = 10233.05, w2 = 10017.07, dw = -0.1309, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 5, w1 = 10053.54, w2 = 9841.355, dw = -0.1286, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 6, w1 = 9880.22, w2 = 9671.698, dw = -0.12638, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 7, w1 = 9712.774, w2 = 9507.791, dw = -0.12423, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 8, w1 = 9550.91, w2 = 9349.348, dw = -0.12216, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 9, w1 = 9394.352, w2 = 9196.098, dw = -0.12015, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 10, w1 = 9242.844, w2 = 9047.792, dw = -0.11821, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 11, w1 = 9096.145, w2 = 8904.194, dw = -0.11633, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 12, w1 = 8954.031, w2 = 8765.082, dw = -0.11451, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 13, w1 = 8816.289, w2 = 8630.251, dw = -0.11275, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 14, w1 = 8682.721, w2 = 8499.505, dw = -0.11104, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 15, w1 = 8553.14, w2 = 8372.662, dw = -0.10938, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 16, w1 = 8427.37, w2 = 8249.549, dw = -0.10777, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 17, w1 = 8305.246, w2 = 8130.005, dw = -0.10621, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 18, w1 = 8186.61, w2 = 8013.876, dw = -0.10469, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 19, w1 = 8071.317, w2 = 7901.017, dw = -0.10321, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 20, w1 = 7959.226, w2 = 7791.294, dw = -0.10178, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 21, w1 = 7850.205, w2 = 7684.577, dw = -0.10038, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 22, w1 = 7744.131, w2 = 7580.744, dw = -0.09902, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 23, w1 = 7640.886, w2 = 7479.679, dw = -0.0977, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 24, w1 = 7540.358, w2 = 7381.274, dw = -0.09641, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 25, w1 = 7442.441, w2 = 7285.425, dw = -0.09516, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 26, w1 = 7347.034, w2 = 7192.034, dw = -0.09394, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 27, w1 = 7254.043, w2 = 7101.007, dw = -0.09275, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 28, w1 = 7163.376, w2 = 7012.255, dw = -0.09159, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 29, w1 = 7074.949, w2 = 6925.695, dw = -0.09046, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 30, w1 = 6988.678, w2 = 6841.247, dw = -0.08935, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 31, w1 = 6904.485, w2 = 6758.833, dw = -0.08827, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 32, w1 = 6822.298, w2 = 6678.381, dw = -0.08722, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 33, w1 = 6742.044, w2 = 6599.822, dw = -0.0862, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 34, w1 = 6663.657, w2 = 6523.091, dw = -0.08519, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 35, w1 = 6587.071, w2 = 6448.123, dw = -0.08421, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 36, w1 = 6512.227, w2 = 6374.859, dw = -0.08325, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 37, w1 = 6439.064, w2 = 6303.242, dw = -0.08232, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 38, w1 = 6367.527, w2 = 6233.216, dw = -0.0814, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 39, w1 = 6297.563, w2 = 6164.729, dw = -0.08051, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 40, w1 = 6229.119, w2 = 6097.731, dw = -0.07963, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 41, w1 = 6162.148, w2 = 6032.174, dw = -0.07877, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 42, w1 = 6096.601, w2 = 5968.012, dw = -0.07793, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 43, w1 = 6032.435, w2 = 5905.201, dw = -0.07711, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 44, w1 = 5969.605, w2 = 5843.699, dw = -0.07631, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 45, w1 = 5908.071, w2 = 5783.464, dw = -0.07552, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 46, w1 = 5847.792, w2 = 5724.459, dw = -0.07475, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 47, w1 = 5788.732, w2 = 5666.647, dw = -0.07399, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 48, w1 = 5730.853, w2 = 5609.99, dw = -0.07325, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 49, w1 = 5674.12, w2 = 5554.456, dw = -0.07252, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 50, w1 = 5618.499, w2 = 5500.01, dw = -0.07181, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 51, w1 = 5563.959, w2 = 5446.622, dw = -0.07111, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 52, w1 = 5510.467, w2 = 5394.261, dw = -0.07043, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 53, w1 = 5457.995, w2 = 5342.897, dw = -0.06976, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 54, w1 = 5406.512, w2 = 5292.503, dw = -0.0691, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 55, w1 = 5355.992, w2 = 5243.05, dw = -0.06845, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 56, w1 = 5306.408, w2 = 5194.514, dw = -0.06781, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 57, w1 = 5257.734, w2 = 5146.868, dw = -0.06719, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 58, w1 = 5209.944, w2 = 5100.088, dw = -0.06658, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 59, w1 = 5163.016, w2 = 5054.152, dw = -0.06598, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 60, w1 = 5116.925, w2 = 5009.035, dw = -0.06539, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 61, w1 = 5071.651, w2 = 4964.718, dw = -0.06481, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 62, w1 = 5027.171, w2 = 4921.178, dw = -0.06424, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 63, w1 = 4983.465, w2 = 4878.395, dw = -0.06368, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 64, w1 = 4940.512, w2 = 4836.351, dw = -0.06313, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 65, w1 = 4898.293, w2 = 4795.025, dw = -0.06259, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 66, w1 = 4856.79, w2 = 4754.399, dw = -0.06206, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 67, w1 = 4815.985, w2 = 4714.456, dw = -0.06153, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 68, w1 = 4775.86, w2 = 4675.18, dw = -0.06102, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 69, w1 = 4736.398, w2 = 4636.552, dw = -0.06051, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 70, w1 = 4697.583, w2 = 4598.558, dw = -0.06002, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 71, w1 = 4659.399, w2 = 4561.181, dw = -0.05953, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 72, w1 = 4621.831, w2 = 4524.408, dw = -0.05904, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 73, w1 = 4584.864, w2 = 4488.223, dw = -0.05857, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 74, w1 = 4548.485, w2 = 4452.612, dw = -0.0581, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 75, w1 = 4512.678, w2 = 4417.563, dw = -0.05765, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 76, w1 = 4477.43, w2 = 4383.061, dw = -0.05719, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 77, w1 = 4442.729, w2 = 4349.093, dw = -0.05675, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 78, w1 = 4408.562, w2 = 4315.649, dw = -0.05631, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 79, w1 = 4374.916, w2 = 4282.715, dw = -0.05588, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 80, w1 = 4341.781, w2 = 4250.28, dw = -0.05545, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 81, w1 = 4309.143, w2 = 4218.333, dw = -0.05504, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 82, w1 = 4276.993, w2 = 4186.863, dw = -0.05462, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 83, w1 = 4245.319, w2 = 4155.859, dw = -0.05422, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 84, w1 = 4214.111, w2 = 4125.311, dw = -0.05382, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 85, w1 = 4183.358, w2 = 4095.209, dw = -0.05342, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 86, w1 = 4153.051, w2 = 4065.543, dw = -0.05304, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 87, w1 = 4123.18, w2 = 4036.304, dw = -0.05265, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 88, w1 = 4093.736, w2 = 4007.483, dw = -0.05227, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 89, w1 = 4064.709, w2 = 3979.07, dw = -0.0519, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 90, w1 = 4036.091, w2 = 3951.058, dw = -0.05154, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 91, w1 = 4007.874, w2 = 3923.437, dw = -0.05117, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 92, w1 = 3980.048, w2 = 3896.2, dw = -0.05082, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.338, dw = -0.05047, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 94, w1 = 3925.539, w2 = 3842.845, dw = -0.05012, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 95, w1 = 3898.841, w2 = 3816.711, dw = -0.04978, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 96, w1 = 3872.504, w2 = 3790.931, dw = -0.04944, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 97, w1 = 3846.52, w2 = 3765.497, dw = -0.0491, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 98, w1 = 3820.882, w2 = 3740.402, dw = -0.04878, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 99, w1 = 3795.584, w2 = 3715.639, dw = -0.04845, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 100, w1 = 3770.619, w2 = 3691.201, dw = -0.04813, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 101, w1 = 3745.98, w2 = 3667.083, dw = -0.04782, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 102, w1 = 3721.661, w2 = 3643.278, dw = -0.0475, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 103, w1 = 3697.655, w2 = 3619.781, dw = -0.0472, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 104, w1 = 3673.957, w2 = 3596.584, dw = -0.04689, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 105, w1 = 3650.561, w2 = 3573.682, dw = -0.04659, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 106, w1 = 3627.461, w2 = 3551.071, dw = -0.0463, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 107, w1 = 3604.651, w2 = 3528.743, dw = -0.046, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 108, w1 = 3582.126, w2 = 3506.695, dw = -0.04572, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 109, w1 = 3559.881, w2 = 3484.92, dw = -0.04543, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 110, w1 = 3537.91, w2 = 3463.413, dw = -0.04515, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 111, w1 = 3516.209, w2 = 3442.171, dw = -0.04487, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 112, w1 = 3494.772, w2 = 3421.187, dw = -0.0446, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 113, w1 = 3473.595, w2 = 3400.457, dw = -0.04433, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 114, w1 = 3452.673, w2 = 3379.977, dw = -0.04406, nw = 1651 z130902_ThAr.0028.ec.fits: ap = 115, w1 = 3432.001, w2 = 3359.742, dw = -0.04379, nw = 1651 130902_ThAr.0031.ec.fits: REFSPEC1 = '130902_ThAr.0031.ec 1.' z130902_ThAr.0031.ec.fits: ap = 1, w1 = 10812.19, w2 = 10583.98, dw = -0.13831, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.01, dw = -0.13574, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 3, w1 = 10419.06, w2 = 10199.16, dw = -0.13327, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 4, w1 = 10233.02, w2 = 10017.06, dw = -0.13089, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 5, w1 = 10053.51, w2 = 9841.34, dw = -0.12859, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 6, w1 = 9880.195, w2 = 9671.683, dw = -0.12637, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 7, w1 = 9712.75, w2 = 9507.776, dw = -0.12423, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 8, w1 = 9550.886, w2 = 9349.333, dw = -0.12215, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 9, w1 = 9394.329, w2 = 9196.084, dw = -0.12015, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 10, w1 = 9242.822, w2 = 9047.778, dw = -0.11821, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 11, w1 = 9096.125, w2 = 8904.18, dw = -0.11633, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 12, w1 = 8954.011, w2 = 8765.069, dw = -0.11451, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 13, w1 = 8816.27, w2 = 8630.237, dw = -0.11275, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 14, w1 = 8682.702, w2 = 8499.491, dw = -0.11104, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 15, w1 = 8553.121, w2 = 8372.648, dw = -0.10938, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 16, w1 = 8427.352, w2 = 8249.535, dw = -0.10777, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 17, w1 = 8305.227, w2 = 8129.991, dw = -0.1062, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 18, w1 = 8186.592, w2 = 8013.861, dw = -0.10469, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 19, w1 = 8071.298, w2 = 7901.003, dw = -0.10321, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 20, w1 = 7959.207, w2 = 7791.28, dw = -0.10177, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 21, w1 = 7850.187, w2 = 7684.562, dw = -0.10038, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 22, w1 = 7744.113, w2 = 7580.729, dw = -0.09902, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 23, w1 = 7640.868, w2 = 7479.664, dw = -0.0977, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 24, w1 = 7540.339, w2 = 7381.259, dw = -0.09641, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 25, w1 = 7442.422, w2 = 7285.41, dw = -0.09516, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 26, w1 = 7347.015, w2 = 7192.018, dw = -0.09394, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 27, w1 = 7254.024, w2 = 7100.991, dw = -0.09275, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 28, w1 = 7163.358, w2 = 7012.239, dw = -0.09159, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 29, w1 = 7074.93, w2 = 6925.679, dw = -0.09045, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 30, w1 = 6988.659, w2 = 6841.23, dw = -0.08935, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 31, w1 = 6904.466, w2 = 6758.816, dw = -0.08827, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 32, w1 = 6822.279, w2 = 6678.364, dw = -0.08722, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 33, w1 = 6742.025, w2 = 6599.805, dw = -0.08619, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 34, w1 = 6663.638, w2 = 6523.073, dw = -0.08519, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 35, w1 = 6587.052, w2 = 6448.106, dw = -0.08421, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 36, w1 = 6512.208, w2 = 6374.842, dw = -0.08325, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 37, w1 = 6439.045, w2 = 6303.224, dw = -0.08232, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 38, w1 = 6367.508, w2 = 6233.198, dw = -0.0814, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 39, w1 = 6297.544, w2 = 6164.711, dw = -0.0805, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 40, w1 = 6229.1, w2 = 6097.713, dw = -0.07963, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 41, w1 = 6162.129, w2 = 6032.156, dw = -0.07877, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 42, w1 = 6096.583, w2 = 5967.994, dw = -0.07793, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 43, w1 = 6032.416, w2 = 5905.183, dw = -0.07711, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 44, w1 = 5969.587, w2 = 5843.681, dw = -0.07631, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 45, w1 = 5908.053, w2 = 5783.447, dw = -0.07552, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 46, w1 = 5847.775, w2 = 5724.442, dw = -0.07475, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 47, w1 = 5788.714, w2 = 5666.629, dw = -0.07399, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 48, w1 = 5730.835, w2 = 5609.973, dw = -0.07325, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 49, w1 = 5674.103, w2 = 5554.438, dw = -0.07252, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 50, w1 = 5618.483, w2 = 5499.993, dw = -0.07181, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 51, w1 = 5563.942, w2 = 5446.605, dw = -0.07111, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 52, w1 = 5510.451, w2 = 5394.244, dw = -0.07043, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 53, w1 = 5457.979, w2 = 5342.88, dw = -0.06976, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 54, w1 = 5406.497, w2 = 5292.486, dw = -0.0691, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 55, w1 = 5355.977, w2 = 5243.033, dw = -0.06845, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 56, w1 = 5306.393, w2 = 5194.497, dw = -0.06782, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 57, w1 = 5257.719, w2 = 5146.851, dw = -0.06719, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 58, w1 = 5209.93, w2 = 5100.072, dw = -0.06658, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 59, w1 = 5163.002, w2 = 5054.135, dw = -0.06598, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 60, w1 = 5116.913, w2 = 5009.019, dw = -0.06539, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 61, w1 = 5071.639, w2 = 4964.702, dw = -0.06481, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 62, w1 = 5027.159, w2 = 4921.162, dw = -0.06424, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 63, w1 = 4983.453, w2 = 4878.38, dw = -0.06368, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 64, w1 = 4940.501, w2 = 4836.335, dw = -0.06313, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 65, w1 = 4898.283, w2 = 4795.009, dw = -0.06259, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 66, w1 = 4856.78, w2 = 4754.384, dw = -0.06206, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 67, w1 = 4815.975, w2 = 4714.441, dw = -0.06154, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 68, w1 = 4775.851, w2 = 4675.165, dw = -0.06102, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 69, w1 = 4736.389, w2 = 4636.537, dw = -0.06052, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 70, w1 = 4697.575, w2 = 4598.543, dw = -0.06002, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 71, w1 = 4659.391, w2 = 4561.167, dw = -0.05953, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 72, w1 = 4621.824, w2 = 4524.394, dw = -0.05905, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 73, w1 = 4584.858, w2 = 4488.209, dw = -0.05858, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 74, w1 = 4548.478, w2 = 4452.598, dw = -0.05811, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 75, w1 = 4512.672, w2 = 4417.548, dw = -0.05765, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 76, w1 = 4477.424, w2 = 4383.046, dw = -0.0572, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 77, w1 = 4442.724, w2 = 4349.079, dw = -0.05675, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 78, w1 = 4408.557, w2 = 4315.635, dw = -0.05632, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 79, w1 = 4374.912, w2 = 4282.701, dw = -0.05589, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 80, w1 = 4341.776, w2 = 4250.266, dw = -0.05546, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 81, w1 = 4309.139, w2 = 4218.319, dw = -0.05504, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 82, w1 = 4276.989, w2 = 4186.849, dw = -0.05463, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 83, w1 = 4245.315, w2 = 4155.845, dw = -0.05422, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 84, w1 = 4214.107, w2 = 4125.296, dw = -0.05382, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 85, w1 = 4183.355, w2 = 4095.194, dw = -0.05343, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 86, w1 = 4153.048, w2 = 4065.528, dw = -0.05304, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 87, w1 = 4123.177, w2 = 4036.289, dw = -0.05266, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 88, w1 = 4093.732, w2 = 4007.467, dw = -0.05228, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 89, w1 = 4064.706, w2 = 3979.054, dw = -0.05191, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.042, dw = -0.05154, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 91, w1 = 4007.87, w2 = 3923.42, dw = -0.05118, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 92, w1 = 3980.044, w2 = 3896.183, dw = -0.05082, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 93, w1 = 3952.601, w2 = 3869.321, dw = -0.05047, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 94, w1 = 3925.535, w2 = 3842.827, dw = -0.05013, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 95, w1 = 3898.836, w2 = 3816.693, dw = -0.04978, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 96, w1 = 3872.499, w2 = 3790.912, dw = -0.04945, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 97, w1 = 3846.514, w2 = 3765.477, dw = -0.04911, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 98, w1 = 3820.876, w2 = 3740.381, dw = -0.04878, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 99, w1 = 3795.577, w2 = 3715.617, dw = -0.04846, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 100, w1 = 3770.611, w2 = 3691.179, dw = -0.04814, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 101, w1 = 3745.971, w2 = 3667.06, dw = -0.04782, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 102, w1 = 3721.651, w2 = 3643.255, dw = -0.04751, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 103, w1 = 3697.644, w2 = 3619.756, dw = -0.04721, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 104, w1 = 3673.945, w2 = 3596.558, dw = -0.0469, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 105, w1 = 3650.548, w2 = 3573.655, dw = -0.0466, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 106, w1 = 3627.447, w2 = 3551.042, dw = -0.04631, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 107, w1 = 3604.635, w2 = 3528.714, dw = -0.04601, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 108, w1 = 3582.109, w2 = 3506.664, dw = -0.04572, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 109, w1 = 3559.862, w2 = 3484.887, dw = -0.04544, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 110, w1 = 3537.89, w2 = 3463.38, dw = -0.04516, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 111, w1 = 3516.187, w2 = 3442.135, dw = -0.04488, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 112, w1 = 3494.748, w2 = 3421.15, dw = -0.04461, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 113, w1 = 3473.569, w2 = 3400.418, dw = -0.04433, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 114, w1 = 3452.645, w2 = 3379.936, dw = -0.04407, nw = 1651 z130902_ThAr.0031.ec.fits: ap = 115, w1 = 3431.971, w2 = 3359.699, dw = -0.0438, nw = 1651 ThAr.0001.ec.fits: REFSPEC1 = 'ThAr.0001.ec 1.' zThAr.0001.ec.fits: ap = 1, w1 = 10812.13, w2 = 10584.02, dw = -0.13825, nw = 1651 zThAr.0001.ec.fits: ap = 2, w1 = 10611.92, w2 = 10388.04, dw = -0.13569, nw = 1651 zThAr.0001.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.18, dw = -0.13322, nw = 1651 zThAr.0001.ec.fits: ap = 4, w1 = 10232.96, w2 = 10017.07, dw = -0.13084, nw = 1651 zThAr.0001.ec.fits: ap = 5, w1 = 10053.45, w2 = 9841.345, dw = -0.12855, nw = 1651 zThAr.0001.ec.fits: ap = 6, w1 = 9880.127, w2 = 9671.682, dw = -0.12633, nw = 1651 zThAr.0001.ec.fits: ap = 7, w1 = 9712.683, w2 = 9507.771, dw = -0.12419, nw = 1651 zThAr.0001.ec.fits: ap = 8, w1 = 9550.819, w2 = 9349.323, dw = -0.12212, nw = 1651 zThAr.0001.ec.fits: ap = 9, w1 = 9394.263, w2 = 9196.07, dw = -0.12012, nw = 1651 zThAr.0001.ec.fits: ap = 10, w1 = 9242.756, w2 = 9047.761, dw = -0.11818, nw = 1651 zThAr.0001.ec.fits: ap = 11, w1 = 9096.059, w2 = 8904.16, dw = -0.1163, nw = 1651 zThAr.0001.ec.fits: ap = 12, w1 = 8953.946, w2 = 8765.046, dw = -0.11448, nw = 1651 zThAr.0001.ec.fits: ap = 13, w1 = 8816.206, w2 = 8630.213, dw = -0.11272, nw = 1651 zThAr.0001.ec.fits: ap = 14, w1 = 8682.64, w2 = 8499.466, dw = -0.11101, nw = 1651 zThAr.0001.ec.fits: ap = 15, w1 = 8553.06, w2 = 8372.622, dw = -0.10936, nw = 1651 zThAr.0001.ec.fits: ap = 16, w1 = 8427.292, w2 = 8249.508, dw = -0.10775, nw = 1651 zThAr.0001.ec.fits: ap = 17, w1 = 8305.169, w2 = 8129.963, dw = -0.10619, nw = 1651 zThAr.0001.ec.fits: ap = 18, w1 = 8186.535, w2 = 8013.834, dw = -0.10467, nw = 1651 zThAr.0001.ec.fits: ap = 19, w1 = 8071.243, w2 = 7900.975, dw = -0.10319, nw = 1651 zThAr.0001.ec.fits: ap = 20, w1 = 7959.153, w2 = 7791.252, dw = -0.10176, nw = 1651 zThAr.0001.ec.fits: ap = 21, w1 = 7850.134, w2 = 7684.535, dw = -0.10036, nw = 1651 zThAr.0001.ec.fits: ap = 22, w1 = 7744.062, w2 = 7580.702, dw = -0.09901, nw = 1651 zThAr.0001.ec.fits: ap = 23, w1 = 7640.818, w2 = 7479.638, dw = -0.09768, nw = 1651 zThAr.0001.ec.fits: ap = 24, w1 = 7540.291, w2 = 7381.234, dw = -0.0964, nw = 1651 zThAr.0001.ec.fits: ap = 25, w1 = 7442.375, w2 = 7285.386, dw = -0.09515, nw = 1651 zThAr.0001.ec.fits: ap = 26, w1 = 7346.97, w2 = 7191.995, dw = -0.09392, nw = 1651 zThAr.0001.ec.fits: ap = 27, w1 = 7253.98, w2 = 7100.969, dw = -0.09273, nw = 1651 zThAr.0001.ec.fits: ap = 28, w1 = 7163.315, w2 = 7012.218, dw = -0.09157, nw = 1651 zThAr.0001.ec.fits: ap = 29, w1 = 7074.888, w2 = 6925.659, dw = -0.09044, nw = 1651 zThAr.0001.ec.fits: ap = 30, w1 = 6988.618, w2 = 6841.211, dw = -0.08934, nw = 1651 zThAr.0001.ec.fits: ap = 31, w1 = 6904.427, w2 = 6758.798, dw = -0.08826, nw = 1651 zThAr.0001.ec.fits: ap = 32, w1 = 6822.241, w2 = 6678.347, dw = -0.08721, nw = 1651 zThAr.0001.ec.fits: ap = 33, w1 = 6741.988, w2 = 6599.789, dw = -0.08618, nw = 1651 zThAr.0001.ec.fits: ap = 34, w1 = 6663.602, w2 = 6523.058, dw = -0.08518, nw = 1651 zThAr.0001.ec.fits: ap = 35, w1 = 6587.017, w2 = 6448.091, dw = -0.0842, nw = 1651 zThAr.0001.ec.fits: ap = 36, w1 = 6512.174, w2 = 6374.828, dw = -0.08324, nw = 1651 zThAr.0001.ec.fits: ap = 37, w1 = 6439.012, w2 = 6303.211, dw = -0.0823, nw = 1651 zThAr.0001.ec.fits: ap = 38, w1 = 6367.476, w2 = 6233.186, dw = -0.08139, nw = 1651 zThAr.0001.ec.fits: ap = 39, w1 = 6297.512, w2 = 6164.7, dw = -0.08049, nw = 1651 zThAr.0001.ec.fits: ap = 40, w1 = 6229.069, w2 = 6097.703, dw = -0.07962, nw = 1651 zThAr.0001.ec.fits: ap = 41, w1 = 6162.098, w2 = 6032.147, dw = -0.07876, nw = 1651 zThAr.0001.ec.fits: ap = 42, w1 = 6096.552, w2 = 5967.985, dw = -0.07792, nw = 1651 zThAr.0001.ec.fits: ap = 43, w1 = 6032.386, w2 = 5905.174, dw = -0.0771, nw = 1651 zThAr.0001.ec.fits: ap = 44, w1 = 5969.557, w2 = 5843.672, dw = -0.07629, nw = 1651 zThAr.0001.ec.fits: ap = 45, w1 = 5908.023, w2 = 5783.439, dw = -0.07551, nw = 1651 zThAr.0001.ec.fits: ap = 46, w1 = 5847.745, w2 = 5724.434, dw = -0.07473, nw = 1651 zThAr.0001.ec.fits: ap = 47, w1 = 5788.685, w2 = 5666.621, dw = -0.07398, nw = 1651 zThAr.0001.ec.fits: ap = 48, w1 = 5730.806, w2 = 5609.965, dw = -0.07324, nw = 1651 zThAr.0001.ec.fits: ap = 49, w1 = 5674.073, w2 = 5554.431, dw = -0.07251, nw = 1651 zThAr.0001.ec.fits: ap = 50, w1 = 5618.453, w2 = 5499.986, dw = -0.0718, nw = 1651 zThAr.0001.ec.fits: ap = 51, w1 = 5563.913, w2 = 5446.598, dw = -0.0711, nw = 1651 zThAr.0001.ec.fits: ap = 52, w1 = 5510.421, w2 = 5394.236, dw = -0.07042, nw = 1651 zThAr.0001.ec.fits: ap = 53, w1 = 5457.949, w2 = 5342.872, dw = -0.06974, nw = 1651 zThAr.0001.ec.fits: ap = 54, w1 = 5406.467, w2 = 5292.478, dw = -0.06908, nw = 1651 zThAr.0001.ec.fits: ap = 55, w1 = 5355.947, w2 = 5243.025, dw = -0.06844, nw = 1651 zThAr.0001.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.488, dw = -0.0678, nw = 1651 zThAr.0001.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.842, dw = -0.06718, nw = 1651 zThAr.0001.ec.fits: ap = 58, w1 = 5209.898, w2 = 5100.063, dw = -0.06657, nw = 1651 zThAr.0001.ec.fits: ap = 59, w1 = 5162.97, w2 = 5054.126, dw = -0.06597, nw = 1651 zThAr.0001.ec.fits: ap = 60, w1 = 5116.88, w2 = 5009.009, dw = -0.06538, nw = 1651 zThAr.0001.ec.fits: ap = 61, w1 = 5071.605, w2 = 4964.691, dw = -0.0648, nw = 1651 zThAr.0001.ec.fits: ap = 62, w1 = 5027.125, w2 = 4921.151, dw = -0.06423, nw = 1651 zThAr.0001.ec.fits: ap = 63, w1 = 4983.419, w2 = 4878.368, dw = -0.06367, nw = 1651 zThAr.0001.ec.fits: ap = 64, w1 = 4940.466, w2 = 4836.323, dw = -0.06312, nw = 1651 zThAr.0001.ec.fits: ap = 65, w1 = 4898.247, w2 = 4794.997, dw = -0.06258, nw = 1651 zThAr.0001.ec.fits: ap = 66, w1 = 4856.744, w2 = 4754.371, dw = -0.06204, nw = 1651 zThAr.0001.ec.fits: ap = 67, w1 = 4815.939, w2 = 4714.428, dw = -0.06152, nw = 1651 zThAr.0001.ec.fits: ap = 68, w1 = 4775.814, w2 = 4675.151, dw = -0.06101, nw = 1651 zThAr.0001.ec.fits: ap = 69, w1 = 4736.352, w2 = 4636.523, dw = -0.0605, nw = 1651 zThAr.0001.ec.fits: ap = 70, w1 = 4697.537, w2 = 4598.528, dw = -0.06001, nw = 1651 zThAr.0001.ec.fits: ap = 71, w1 = 4659.353, w2 = 4561.151, dw = -0.05952, nw = 1651 zThAr.0001.ec.fits: ap = 72, w1 = 4621.785, w2 = 4524.378, dw = -0.05903, nw = 1651 zThAr.0001.ec.fits: ap = 73, w1 = 4584.818, w2 = 4488.192, dw = -0.05856, nw = 1651 zThAr.0001.ec.fits: ap = 74, w1 = 4548.439, w2 = 4452.582, dw = -0.0581, nw = 1651 zThAr.0001.ec.fits: ap = 75, w1 = 4512.632, w2 = 4417.532, dw = -0.05764, nw = 1651 zThAr.0001.ec.fits: ap = 76, w1 = 4477.384, w2 = 4383.029, dw = -0.05718, nw = 1651 zThAr.0001.ec.fits: ap = 77, w1 = 4442.683, w2 = 4349.062, dw = -0.05674, nw = 1651 zThAr.0001.ec.fits: ap = 78, w1 = 4408.516, w2 = 4315.618, dw = -0.0563, nw = 1651 zThAr.0001.ec.fits: ap = 79, w1 = 4374.871, w2 = 4282.684, dw = -0.05587, nw = 1651 zThAr.0001.ec.fits: ap = 80, w1 = 4341.736, w2 = 4250.249, dw = -0.05545, nw = 1651 zThAr.0001.ec.fits: ap = 81, w1 = 4309.099, w2 = 4218.303, dw = -0.05503, nw = 1651 zThAr.0001.ec.fits: ap = 82, w1 = 4276.949, w2 = 4186.833, dw = -0.05462, nw = 1651 zThAr.0001.ec.fits: ap = 83, w1 = 4245.275, w2 = 4155.829, dw = -0.05421, nw = 1651 zThAr.0001.ec.fits: ap = 84, w1 = 4214.067, w2 = 4125.282, dw = -0.05381, nw = 1651 zThAr.0001.ec.fits: ap = 85, w1 = 4183.315, w2 = 4095.18, dw = -0.05342, nw = 1651 zThAr.0001.ec.fits: ap = 86, w1 = 4153.009, w2 = 4065.515, dw = -0.05303, nw = 1651 zThAr.0001.ec.fits: ap = 87, w1 = 4123.138, w2 = 4036.277, dw = -0.05264, nw = 1651 zThAr.0001.ec.fits: ap = 88, w1 = 4093.695, w2 = 4007.457, dw = -0.05227, nw = 1651 zThAr.0001.ec.fits: ap = 89, w1 = 4064.669, w2 = 3979.045, dw = -0.05189, nw = 1651 zThAr.0001.ec.fits: ap = 90, w1 = 4036.052, w2 = 3951.034, dw = -0.05153, nw = 1651 zThAr.0001.ec.fits: ap = 91, w1 = 4007.835, w2 = 3923.415, dw = -0.05116, nw = 1651 zThAr.0001.ec.fits: ap = 92, w1 = 3980.011, w2 = 3896.179, dw = -0.05081, nw = 1651 zThAr.0001.ec.fits: ap = 93, w1 = 3952.57, w2 = 3869.319, dw = -0.05045, nw = 1651 zThAr.0001.ec.fits: ap = 94, w1 = 3925.505, w2 = 3842.828, dw = -0.05011, nw = 1651 zThAr.0001.ec.fits: ap = 95, w1 = 3898.808, w2 = 3816.697, dw = -0.04976, nw = 1651 zThAr.0001.ec.fits: ap = 96, w1 = 3872.472, w2 = 3790.919, dw = -0.04943, nw = 1651 zThAr.0001.ec.fits: ap = 97, w1 = 3846.489, w2 = 3765.487, dw = -0.04909, nw = 1651 zThAr.0001.ec.fits: ap = 98, w1 = 3820.854, w2 = 3740.394, dw = -0.04876, nw = 1651 zThAr.0001.ec.fits: ap = 99, w1 = 3795.557, w2 = 3715.634, dw = -0.04844, nw = 1651 zThAr.0001.ec.fits: ap = 100, w1 = 3770.594, w2 = 3691.2, dw = -0.04812, nw = 1651 zThAr.0001.ec.fits: ap = 101, w1 = 3745.957, w2 = 3667.086, dw = -0.0478, nw = 1651 zThAr.0001.ec.fits: ap = 102, w1 = 3721.639, w2 = 3643.284, dw = -0.04749, nw = 1651 zThAr.0001.ec.fits: ap = 103, w1 = 3697.636, w2 = 3619.79, dw = -0.04718, nw = 1651 zThAr.0001.ec.fits: ap = 104, w1 = 3673.94, w2 = 3596.598, dw = -0.04687, nw = 1651 zThAr.0001.ec.fits: ap = 105, w1 = 3650.547, w2 = 3573.7, dw = -0.04657, nw = 1651 zThAr.0001.ec.fits: ap = 106, w1 = 3627.449, w2 = 3551.093, dw = -0.04628, nw = 1651 zThAr.0001.ec.fits: ap = 107, w1 = 3604.642, w2 = 3528.771, dw = -0.04598, nw = 1651 zThAr.0001.ec.fits: ap = 108, w1 = 3582.12, w2 = 3506.727, dw = -0.04569, nw = 1651 zThAr.0001.ec.fits: ap = 109, w1 = 3559.878, w2 = 3484.958, dw = -0.04541, nw = 1651 zThAr.0001.ec.fits: ap = 110, w1 = 3537.91, w2 = 3463.457, dw = -0.04512, nw = 1651 zThAr.0001.ec.fits: ap = 111, w1 = 3516.212, w2 = 3442.22, dw = -0.04484, nw = 1651 zThAr.0001.ec.fits: ap = 112, w1 = 3494.779, w2 = 3421.243, dw = -0.04457, nw = 1651 zThAr.0001.ec.fits: ap = 113, w1 = 3473.606, w2 = 3400.52, dw = -0.04429, nw = 1651 zThAr.0001.ec.fits: ap = 114, w1 = 3452.687, w2 = 3380.047, dw = -0.04402, nw = 1651 zThAr.0001.ec.fits: ap = 115, w1 = 3432.019, w2 = 3359.819, dw = -0.04376, nw = 1651 ThAr.0002.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' zThAr.0002.ec.fits: ap = 1, w1 = 10812.11, w2 = 10583.99, dw = -0.13825, nw = 1651 zThAr.0002.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388.01, dw = -0.13569, nw = 1651 zThAr.0002.ec.fits: ap = 3, w1 = 10418.98, w2 = 10199.16, dw = -0.13323, nw = 1651 zThAr.0002.ec.fits: ap = 4, w1 = 10232.95, w2 = 10017.05, dw = -0.13085, nw = 1651 zThAr.0002.ec.fits: ap = 5, w1 = 10053.44, w2 = 9841.335, dw = -0.12855, nw = 1651 zThAr.0002.ec.fits: ap = 6, w1 = 9880.126, w2 = 9671.675, dw = -0.12633, nw = 1651 zThAr.0002.ec.fits: ap = 7, w1 = 9712.684, w2 = 9507.766, dw = -0.12419, nw = 1651 zThAr.0002.ec.fits: ap = 8, w1 = 9550.822, w2 = 9349.321, dw = -0.12212, nw = 1651 zThAr.0002.ec.fits: ap = 9, w1 = 9394.267, w2 = 9196.07, dw = -0.12012, nw = 1651 zThAr.0002.ec.fits: ap = 10, w1 = 9242.761, w2 = 9047.763, dw = -0.11818, nw = 1651 zThAr.0002.ec.fits: ap = 11, w1 = 9096.065, w2 = 8904.163, dw = -0.1163, nw = 1651 zThAr.0002.ec.fits: ap = 12, w1 = 8953.953, w2 = 8765.051, dw = -0.11449, nw = 1651 zThAr.0002.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.219, dw = -0.11272, nw = 1651 zThAr.0002.ec.fits: ap = 14, w1 = 8682.647, w2 = 8499.472, dw = -0.11102, nw = 1651 zThAr.0002.ec.fits: ap = 15, w1 = 8553.068, w2 = 8372.628, dw = -0.10936, nw = 1651 zThAr.0002.ec.fits: ap = 16, w1 = 8427.299, w2 = 8249.515, dw = -0.10775, nw = 1651 zThAr.0002.ec.fits: ap = 17, w1 = 8305.176, w2 = 8129.97, dw = -0.10619, nw = 1651 zThAr.0002.ec.fits: ap = 18, w1 = 8186.542, w2 = 8013.841, dw = -0.10467, nw = 1651 zThAr.0002.ec.fits: ap = 19, w1 = 8071.25, w2 = 7900.982, dw = -0.10319, nw = 1651 zThAr.0002.ec.fits: ap = 20, w1 = 7959.16, w2 = 7791.259, dw = -0.10176, nw = 1651 zThAr.0002.ec.fits: ap = 21, w1 = 7850.14, w2 = 7684.542, dw = -0.10036, nw = 1651 zThAr.0002.ec.fits: ap = 22, w1 = 7744.067, w2 = 7580.708, dw = -0.09901, nw = 1651 zThAr.0002.ec.fits: ap = 23, w1 = 7640.823, w2 = 7479.644, dw = -0.09768, nw = 1651 zThAr.0002.ec.fits: ap = 24, w1 = 7540.296, w2 = 7381.239, dw = -0.0964, nw = 1651 zThAr.0002.ec.fits: ap = 25, w1 = 7442.379, w2 = 7285.391, dw = -0.09514, nw = 1651 zThAr.0002.ec.fits: ap = 26, w1 = 7346.973, w2 = 7191.999, dw = -0.09392, nw = 1651 zThAr.0002.ec.fits: ap = 27, w1 = 7253.983, w2 = 7100.973, dw = -0.09273, nw = 1651 zThAr.0002.ec.fits: ap = 28, w1 = 7163.317, w2 = 7012.221, dw = -0.09157, nw = 1651 zThAr.0002.ec.fits: ap = 29, w1 = 7074.89, w2 = 6925.662, dw = -0.09044, nw = 1651 zThAr.0002.ec.fits: ap = 30, w1 = 6988.62, w2 = 6841.213, dw = -0.08934, nw = 1651 zThAr.0002.ec.fits: ap = 31, w1 = 6904.428, w2 = 6758.799, dw = -0.08826, nw = 1651 zThAr.0002.ec.fits: ap = 32, w1 = 6822.241, w2 = 6678.348, dw = -0.08721, nw = 1651 zThAr.0002.ec.fits: ap = 33, w1 = 6741.988, w2 = 6599.79, dw = -0.08618, nw = 1651 zThAr.0002.ec.fits: ap = 34, w1 = 6663.601, w2 = 6523.058, dw = -0.08518, nw = 1651 zThAr.0002.ec.fits: ap = 35, w1 = 6587.017, w2 = 6448.091, dw = -0.0842, nw = 1651 zThAr.0002.ec.fits: ap = 36, w1 = 6512.173, w2 = 6374.828, dw = -0.08324, nw = 1651 zThAr.0002.ec.fits: ap = 37, w1 = 6439.01, w2 = 6303.211, dw = -0.0823, nw = 1651 zThAr.0002.ec.fits: ap = 38, w1 = 6367.474, w2 = 6233.185, dw = -0.08139, nw = 1651 zThAr.0002.ec.fits: ap = 39, w1 = 6297.51, w2 = 6164.699, dw = -0.08049, nw = 1651 zThAr.0002.ec.fits: ap = 40, w1 = 6229.067, w2 = 6097.701, dw = -0.07962, nw = 1651 zThAr.0002.ec.fits: ap = 41, w1 = 6162.096, w2 = 6032.145, dw = -0.07876, nw = 1651 zThAr.0002.ec.fits: ap = 42, w1 = 6096.55, w2 = 5967.983, dw = -0.07792, nw = 1651 zThAr.0002.ec.fits: ap = 43, w1 = 6032.384, w2 = 5905.172, dw = -0.0771, nw = 1651 zThAr.0002.ec.fits: ap = 44, w1 = 5969.555, w2 = 5843.67, dw = -0.07629, nw = 1651 zThAr.0002.ec.fits: ap = 45, w1 = 5908.021, w2 = 5783.436, dw = -0.07551, nw = 1651 zThAr.0002.ec.fits: ap = 46, w1 = 5847.744, w2 = 5724.432, dw = -0.07473, nw = 1651 zThAr.0002.ec.fits: ap = 47, w1 = 5788.684, w2 = 5666.619, dw = -0.07398, nw = 1651 zThAr.0002.ec.fits: ap = 48, w1 = 5730.805, w2 = 5609.963, dw = -0.07324, nw = 1651 zThAr.0002.ec.fits: ap = 49, w1 = 5674.073, w2 = 5554.429, dw = -0.07251, nw = 1651 zThAr.0002.ec.fits: ap = 50, w1 = 5618.453, w2 = 5499.984, dw = -0.0718, nw = 1651 zThAr.0002.ec.fits: ap = 51, w1 = 5563.913, w2 = 5446.596, dw = -0.0711, nw = 1651 zThAr.0002.ec.fits: ap = 52, w1 = 5510.422, w2 = 5394.235, dw = -0.07042, nw = 1651 zThAr.0002.ec.fits: ap = 53, w1 = 5457.95, w2 = 5342.871, dw = -0.06974, nw = 1651 zThAr.0002.ec.fits: ap = 54, w1 = 5406.468, w2 = 5292.477, dw = -0.06909, nw = 1651 zThAr.0002.ec.fits: ap = 55, w1 = 5355.949, w2 = 5243.025, dw = -0.06844, nw = 1651 zThAr.0002.ec.fits: ap = 56, w1 = 5306.365, w2 = 5194.488, dw = -0.0678, nw = 1651 zThAr.0002.ec.fits: ap = 57, w1 = 5257.691, w2 = 5146.843, dw = -0.06718, nw = 1651 zThAr.0002.ec.fits: ap = 58, w1 = 5209.902, w2 = 5100.063, dw = -0.06657, nw = 1651 zThAr.0002.ec.fits: ap = 59, w1 = 5162.975, w2 = 5054.127, dw = -0.06597, nw = 1651 zThAr.0002.ec.fits: ap = 60, w1 = 5116.885, w2 = 5009.011, dw = -0.06538, nw = 1651 zThAr.0002.ec.fits: ap = 61, w1 = 5071.611, w2 = 4964.694, dw = -0.0648, nw = 1651 zThAr.0002.ec.fits: ap = 62, w1 = 5027.132, w2 = 4921.154, dw = -0.06423, nw = 1651 zThAr.0002.ec.fits: ap = 63, w1 = 4983.426, w2 = 4878.371, dw = -0.06367, nw = 1651 zThAr.0002.ec.fits: ap = 64, w1 = 4940.474, w2 = 4836.327, dw = -0.06312, nw = 1651 zThAr.0002.ec.fits: ap = 65, w1 = 4898.256, w2 = 4795.001, dw = -0.06258, nw = 1651 zThAr.0002.ec.fits: ap = 66, w1 = 4856.754, w2 = 4754.375, dw = -0.06205, nw = 1651 zThAr.0002.ec.fits: ap = 67, w1 = 4815.949, w2 = 4714.433, dw = -0.06153, nw = 1651 zThAr.0002.ec.fits: ap = 68, w1 = 4775.825, w2 = 4675.156, dw = -0.06101, nw = 1651 zThAr.0002.ec.fits: ap = 69, w1 = 4736.363, w2 = 4636.528, dw = -0.06051, nw = 1651 zThAr.0002.ec.fits: ap = 70, w1 = 4697.549, w2 = 4598.534, dw = -0.06001, nw = 1651 zThAr.0002.ec.fits: ap = 71, w1 = 4659.366, w2 = 4561.158, dw = -0.05952, nw = 1651 zThAr.0002.ec.fits: ap = 72, w1 = 4621.799, w2 = 4524.384, dw = -0.05904, nw = 1651 zThAr.0002.ec.fits: ap = 73, w1 = 4584.833, w2 = 4488.199, dw = -0.05857, nw = 1651 zThAr.0002.ec.fits: ap = 74, w1 = 4548.453, w2 = 4452.589, dw = -0.0581, nw = 1651 zThAr.0002.ec.fits: ap = 75, w1 = 4512.647, w2 = 4417.539, dw = -0.05764, nw = 1651 zThAr.0002.ec.fits: ap = 76, w1 = 4477.4, w2 = 4383.037, dw = -0.05719, nw = 1651 zThAr.0002.ec.fits: ap = 77, w1 = 4442.699, w2 = 4349.07, dw = -0.05675, nw = 1651 zThAr.0002.ec.fits: ap = 78, w1 = 4408.533, w2 = 4315.625, dw = -0.05631, nw = 1651 zThAr.0002.ec.fits: ap = 79, w1 = 4374.888, w2 = 4282.692, dw = -0.05588, nw = 1651 zThAr.0002.ec.fits: ap = 80, w1 = 4341.753, w2 = 4250.257, dw = -0.05545, nw = 1651 zThAr.0002.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.31, dw = -0.05503, nw = 1651 zThAr.0002.ec.fits: ap = 82, w1 = 4276.966, w2 = 4186.84, dw = -0.05462, nw = 1651 zThAr.0002.ec.fits: ap = 83, w1 = 4245.292, w2 = 4155.836, dw = -0.05422, nw = 1651 zThAr.0002.ec.fits: ap = 84, w1 = 4214.084, w2 = 4125.288, dw = -0.05382, nw = 1651 zThAr.0002.ec.fits: ap = 85, w1 = 4183.332, w2 = 4095.186, dw = -0.05342, nw = 1651 zThAr.0002.ec.fits: ap = 86, w1 = 4153.026, w2 = 4065.52, dw = -0.05303, nw = 1651 zThAr.0002.ec.fits: ap = 87, w1 = 4123.155, w2 = 4036.281, dw = -0.05265, nw = 1651 zThAr.0002.ec.fits: ap = 88, w1 = 4093.711, w2 = 4007.46, dw = -0.05227, nw = 1651 zThAr.0002.ec.fits: ap = 89, w1 = 4064.685, w2 = 3979.047, dw = -0.0519, nw = 1651 zThAr.0002.ec.fits: ap = 90, w1 = 4036.067, w2 = 3951.035, dw = -0.05153, nw = 1651 zThAr.0002.ec.fits: ap = 91, w1 = 4007.849, w2 = 3923.414, dw = -0.05117, nw = 1651 zThAr.0002.ec.fits: ap = 92, w1 = 3980.024, w2 = 3896.177, dw = -0.05082, nw = 1651 zThAr.0002.ec.fits: ap = 93, w1 = 3952.582, w2 = 3869.316, dw = -0.05046, nw = 1651 zThAr.0002.ec.fits: ap = 94, w1 = 3925.515, w2 = 3842.823, dw = -0.05012, nw = 1651 zThAr.0002.ec.fits: ap = 95, w1 = 3898.817, w2 = 3816.69, dw = -0.04977, nw = 1651 zThAr.0002.ec.fits: ap = 96, w1 = 3872.48, w2 = 3790.91, dw = -0.04944, nw = 1651 zThAr.0002.ec.fits: ap = 97, w1 = 3846.496, w2 = 3765.476, dw = -0.0491, nw = 1651 zThAr.0002.ec.fits: ap = 98, w1 = 3820.858, w2 = 3740.381, dw = -0.04877, nw = 1651 zThAr.0002.ec.fits: ap = 99, w1 = 3795.56, w2 = 3715.618, dw = -0.04845, nw = 1651 zThAr.0002.ec.fits: ap = 100, w1 = 3770.594, w2 = 3691.182, dw = -0.04813, nw = 1651 zThAr.0002.ec.fits: ap = 101, w1 = 3745.955, w2 = 3667.064, dw = -0.04781, nw = 1651 zThAr.0002.ec.fits: ap = 102, w1 = 3721.635, w2 = 3643.26, dw = -0.0475, nw = 1651 zThAr.0002.ec.fits: ap = 103, w1 = 3697.629, w2 = 3619.762, dw = -0.04719, nw = 1651 zThAr.0002.ec.fits: ap = 104, w1 = 3673.931, w2 = 3596.566, dw = -0.04689, nw = 1651 zThAr.0002.ec.fits: ap = 105, w1 = 3650.534, w2 = 3573.665, dw = -0.04659, nw = 1651 zThAr.0002.ec.fits: ap = 106, w1 = 3627.433, w2 = 3551.054, dw = -0.04629, nw = 1651 zThAr.0002.ec.fits: ap = 107, w1 = 3604.623, w2 = 3528.727, dw = -0.046, nw = 1651 zThAr.0002.ec.fits: ap = 108, w1 = 3582.097, w2 = 3506.679, dw = -0.04571, nw = 1651 zThAr.0002.ec.fits: ap = 109, w1 = 3559.851, w2 = 3484.905, dw = -0.04542, nw = 1651 zThAr.0002.ec.fits: ap = 110, w1 = 3537.88, w2 = 3463.4, dw = -0.04514, nw = 1651 zThAr.0002.ec.fits: ap = 111, w1 = 3516.177, w2 = 3442.158, dw = -0.04486, nw = 1651 zThAr.0002.ec.fits: ap = 112, w1 = 3494.739, w2 = 3421.175, dw = -0.04458, nw = 1651 zThAr.0002.ec.fits: ap = 113, w1 = 3473.561, w2 = 3400.446, dw = -0.04431, nw = 1651 zThAr.0002.ec.fits: ap = 114, w1 = 3452.637, w2 = 3379.967, dw = -0.04404, nw = 1651 zThAr.0002.ec.fits: ap = 115, w1 = 3431.964, w2 = 3359.733, dw = -0.04378, nw = 1651 ThAr.0040.ec.fits: REFSPEC1 = 'ThAr.0040.ec 1.' zThAr.0040.ec.fits: ap = 1, w1 = 10812.16, w2 = 10583.97, dw = -0.1383, nw = 1651 zThAr.0040.ec.fits: ap = 2, w1 = 10611.96, w2 = 10388., dw = -0.13573, nw = 1651 zThAr.0040.ec.fits: ap = 3, w1 = 10419.03, w2 = 10199.15, dw = -0.13326, nw = 1651 zThAr.0040.ec.fits: ap = 4, w1 = 10233., w2 = 10017.04, dw = -0.13088, nw = 1651 zThAr.0040.ec.fits: ap = 5, w1 = 10053.49, w2 = 9841.328, dw = -0.12858, nw = 1651 zThAr.0040.ec.fits: ap = 6, w1 = 9880.168, w2 = 9671.671, dw = -0.12636, nw = 1651 zThAr.0040.ec.fits: ap = 7, w1 = 9712.724, w2 = 9507.764, dw = -0.12422, nw = 1651 zThAr.0040.ec.fits: ap = 8, w1 = 9550.861, w2 = 9349.321, dw = -0.12215, nw = 1651 zThAr.0040.ec.fits: ap = 9, w1 = 9394.305, w2 = 9196.071, dw = -0.12014, nw = 1651 zThAr.0040.ec.fits: ap = 10, w1 = 9242.798, w2 = 9047.765, dw = -0.1182, nw = 1651 zThAr.0040.ec.fits: ap = 11, w1 = 9096.101, w2 = 8904.166, dw = -0.11632, nw = 1651 zThAr.0040.ec.fits: ap = 12, w1 = 8953.988, w2 = 8765.055, dw = -0.11451, nw = 1651 zThAr.0040.ec.fits: ap = 13, w1 = 8816.248, w2 = 8630.223, dw = -0.11274, nw = 1651 zThAr.0040.ec.fits: ap = 14, w1 = 8682.681, w2 = 8499.477, dw = -0.11103, nw = 1651 zThAr.0040.ec.fits: ap = 15, w1 = 8553.101, w2 = 8372.634, dw = -0.10937, nw = 1651 zThAr.0040.ec.fits: ap = 16, w1 = 8427.332, w2 = 8249.521, dw = -0.10776, nw = 1651 zThAr.0040.ec.fits: ap = 17, w1 = 8305.209, w2 = 8129.976, dw = -0.1062, nw = 1651 zThAr.0040.ec.fits: ap = 18, w1 = 8186.574, w2 = 8013.846, dw = -0.10468, nw = 1651 zThAr.0040.ec.fits: ap = 19, w1 = 8071.281, w2 = 7900.988, dw = -0.10321, nw = 1651 zThAr.0040.ec.fits: ap = 20, w1 = 7959.191, w2 = 7791.264, dw = -0.10177, nw = 1651 zThAr.0040.ec.fits: ap = 21, w1 = 7850.171, w2 = 7684.547, dw = -0.10038, nw = 1651 zThAr.0040.ec.fits: ap = 22, w1 = 7744.098, w2 = 7580.713, dw = -0.09902, nw = 1651 zThAr.0040.ec.fits: ap = 23, w1 = 7640.854, w2 = 7479.649, dw = -0.0977, nw = 1651 zThAr.0040.ec.fits: ap = 24, w1 = 7540.326, w2 = 7381.244, dw = -0.09641, nw = 1651 zThAr.0040.ec.fits: ap = 25, w1 = 7442.409, w2 = 7285.395, dw = -0.09516, nw = 1651 zThAr.0040.ec.fits: ap = 26, w1 = 7347.003, w2 = 7192.003, dw = -0.09394, nw = 1651 zThAr.0040.ec.fits: ap = 27, w1 = 7254.013, w2 = 7100.976, dw = -0.09275, nw = 1651 zThAr.0040.ec.fits: ap = 28, w1 = 7163.347, w2 = 7012.224, dw = -0.09159, nw = 1651 zThAr.0040.ec.fits: ap = 29, w1 = 7074.92, w2 = 6925.664, dw = -0.09046, nw = 1651 zThAr.0040.ec.fits: ap = 30, w1 = 6988.649, w2 = 6841.215, dw = -0.08935, nw = 1651 zThAr.0040.ec.fits: ap = 31, w1 = 6904.458, w2 = 6758.802, dw = -0.08828, nw = 1651 zThAr.0040.ec.fits: ap = 32, w1 = 6822.271, w2 = 6678.35, dw = -0.08722, nw = 1651 zThAr.0040.ec.fits: ap = 33, w1 = 6742.017, w2 = 6599.791, dw = -0.0862, nw = 1651 zThAr.0040.ec.fits: ap = 34, w1 = 6663.63, w2 = 6523.06, dw = -0.08519, nw = 1651 zThAr.0040.ec.fits: ap = 35, w1 = 6587.046, w2 = 6448.092, dw = -0.08421, nw = 1651 zThAr.0040.ec.fits: ap = 36, w1 = 6512.201, w2 = 6374.828, dw = -0.08326, nw = 1651 zThAr.0040.ec.fits: ap = 37, w1 = 6439.039, w2 = 6303.211, dw = -0.08232, nw = 1651 zThAr.0040.ec.fits: ap = 38, w1 = 6367.503, w2 = 6233.186, dw = -0.0814, nw = 1651 zThAr.0040.ec.fits: ap = 39, w1 = 6297.538, w2 = 6164.699, dw = -0.08051, nw = 1651 zThAr.0040.ec.fits: ap = 40, w1 = 6229.095, w2 = 6097.702, dw = -0.07963, nw = 1651 zThAr.0040.ec.fits: ap = 41, w1 = 6162.124, w2 = 6032.145, dw = -0.07878, nw = 1651 zThAr.0040.ec.fits: ap = 42, w1 = 6096.578, w2 = 5967.983, dw = -0.07794, nw = 1651 zThAr.0040.ec.fits: ap = 43, w1 = 6032.412, w2 = 5905.173, dw = -0.07711, nw = 1651 zThAr.0040.ec.fits: ap = 44, w1 = 5969.582, w2 = 5843.67, dw = -0.07631, nw = 1651 zThAr.0040.ec.fits: ap = 45, w1 = 5908.049, w2 = 5783.436, dw = -0.07552, nw = 1651 zThAr.0040.ec.fits: ap = 46, w1 = 5847.771, w2 = 5724.432, dw = -0.07475, nw = 1651 zThAr.0040.ec.fits: ap = 47, w1 = 5788.71, w2 = 5666.62, dw = -0.07399, nw = 1651 zThAr.0040.ec.fits: ap = 48, w1 = 5730.832, w2 = 5609.964, dw = -0.07325, nw = 1651 zThAr.0040.ec.fits: ap = 49, w1 = 5674.099, w2 = 5554.43, dw = -0.07253, nw = 1651 zThAr.0040.ec.fits: ap = 50, w1 = 5618.479, w2 = 5499.985, dw = -0.07181, nw = 1651 zThAr.0040.ec.fits: ap = 51, w1 = 5563.938, w2 = 5446.597, dw = -0.07112, nw = 1651 zThAr.0040.ec.fits: ap = 52, w1 = 5510.447, w2 = 5394.236, dw = -0.07043, nw = 1651 zThAr.0040.ec.fits: ap = 53, w1 = 5457.975, w2 = 5342.873, dw = -0.06976, nw = 1651 zThAr.0040.ec.fits: ap = 54, w1 = 5406.493, w2 = 5292.478, dw = -0.0691, nw = 1651 zThAr.0040.ec.fits: ap = 55, w1 = 5355.973, w2 = 5243.026, dw = -0.06845, nw = 1651 zThAr.0040.ec.fits: ap = 56, w1 = 5306.388, w2 = 5194.49, dw = -0.06782, nw = 1651 zThAr.0040.ec.fits: ap = 57, w1 = 5257.714, w2 = 5146.845, dw = -0.06719, nw = 1651 zThAr.0040.ec.fits: ap = 58, w1 = 5209.925, w2 = 5100.065, dw = -0.06658, nw = 1651 zThAr.0040.ec.fits: ap = 59, w1 = 5162.996, w2 = 5054.129, dw = -0.06598, nw = 1651 zThAr.0040.ec.fits: ap = 60, w1 = 5116.906, w2 = 5009.013, dw = -0.06539, nw = 1651 zThAr.0040.ec.fits: ap = 61, w1 = 5071.632, w2 = 4964.696, dw = -0.06481, nw = 1651 zThAr.0040.ec.fits: ap = 62, w1 = 5027.152, w2 = 4921.157, dw = -0.06424, nw = 1651 zThAr.0040.ec.fits: ap = 63, w1 = 4983.445, w2 = 4878.374, dw = -0.06368, nw = 1651 zThAr.0040.ec.fits: ap = 64, w1 = 4940.492, w2 = 4836.33, dw = -0.06313, nw = 1651 zThAr.0040.ec.fits: ap = 65, w1 = 4898.274, w2 = 4795.004, dw = -0.06259, nw = 1651 zThAr.0040.ec.fits: ap = 66, w1 = 4856.771, w2 = 4754.378, dw = -0.06206, nw = 1651 zThAr.0040.ec.fits: ap = 67, w1 = 4815.965, w2 = 4714.436, dw = -0.06153, nw = 1651 zThAr.0040.ec.fits: ap = 68, w1 = 4775.84, w2 = 4675.159, dw = -0.06102, nw = 1651 zThAr.0040.ec.fits: ap = 69, w1 = 4736.378, w2 = 4636.531, dw = -0.06051, nw = 1651 zThAr.0040.ec.fits: ap = 70, w1 = 4697.562, w2 = 4598.537, dw = -0.06002, nw = 1651 zThAr.0040.ec.fits: ap = 71, w1 = 4659.378, w2 = 4561.16, dw = -0.05953, nw = 1651 zThAr.0040.ec.fits: ap = 72, w1 = 4621.81, w2 = 4524.387, dw = -0.05904, nw = 1651 zThAr.0040.ec.fits: ap = 73, w1 = 4584.843, w2 = 4488.201, dw = -0.05857, nw = 1651 zThAr.0040.ec.fits: ap = 74, w1 = 4548.462, w2 = 4452.591, dw = -0.0581, nw = 1651 zThAr.0040.ec.fits: ap = 75, w1 = 4512.655, w2 = 4417.54, dw = -0.05765, nw = 1651 zThAr.0040.ec.fits: ap = 76, w1 = 4477.407, w2 = 4383.038, dw = -0.05719, nw = 1651 zThAr.0040.ec.fits: ap = 77, w1 = 4442.705, w2 = 4349.07, dw = -0.05675, nw = 1651 zThAr.0040.ec.fits: ap = 78, w1 = 4408.538, w2 = 4315.625, dw = -0.05631, nw = 1651 zThAr.0040.ec.fits: ap = 79, w1 = 4374.891, w2 = 4282.69, dw = -0.05588, nw = 1651 zThAr.0040.ec.fits: ap = 80, w1 = 4341.755, w2 = 4250.255, dw = -0.05545, nw = 1651 zThAr.0040.ec.fits: ap = 81, w1 = 4309.117, w2 = 4218.307, dw = -0.05504, nw = 1651 zThAr.0040.ec.fits: ap = 82, w1 = 4276.966, w2 = 4186.836, dw = -0.05462, nw = 1651 zThAr.0040.ec.fits: ap = 83, w1 = 4245.291, w2 = 4155.83, dw = -0.05422, nw = 1651 zThAr.0040.ec.fits: ap = 84, w1 = 4214.082, w2 = 4125.281, dw = -0.05382, nw = 1651 zThAr.0040.ec.fits: ap = 85, w1 = 4183.328, w2 = 4095.178, dw = -0.05342, nw = 1651 zThAr.0040.ec.fits: ap = 86, w1 = 4153.02, w2 = 4065.51, dw = -0.05304, nw = 1651 zThAr.0040.ec.fits: ap = 87, w1 = 4123.148, w2 = 4036.27, dw = -0.05265, nw = 1651 zThAr.0040.ec.fits: ap = 88, w1 = 4093.702, w2 = 4007.447, dw = -0.05228, nw = 1651 zThAr.0040.ec.fits: ap = 89, w1 = 4064.674, w2 = 3979.032, dw = -0.0519, nw = 1651 zThAr.0040.ec.fits: ap = 90, w1 = 4036.055, w2 = 3951.018, dw = -0.05154, nw = 1651 zThAr.0040.ec.fits: ap = 91, w1 = 4007.836, w2 = 3923.395, dw = -0.05118, nw = 1651 zThAr.0040.ec.fits: ap = 92, w1 = 3980.009, w2 = 3896.156, dw = -0.05082, nw = 1651 zThAr.0040.ec.fits: ap = 93, w1 = 3952.565, w2 = 3869.292, dw = -0.05047, nw = 1651 zThAr.0040.ec.fits: ap = 94, w1 = 3925.497, w2 = 3842.796, dw = -0.05012, nw = 1651 zThAr.0040.ec.fits: ap = 95, w1 = 3898.797, w2 = 3816.66, dw = -0.04978, nw = 1651 zThAr.0040.ec.fits: ap = 96, w1 = 3872.458, w2 = 3790.877, dw = -0.04944, nw = 1651 zThAr.0040.ec.fits: ap = 97, w1 = 3846.472, w2 = 3765.44, dw = -0.04911, nw = 1651 zThAr.0040.ec.fits: ap = 98, w1 = 3820.833, w2 = 3740.341, dw = -0.04878, nw = 1651 zThAr.0040.ec.fits: ap = 99, w1 = 3795.533, w2 = 3715.575, dw = -0.04846, nw = 1651 zThAr.0040.ec.fits: ap = 100, w1 = 3770.565, w2 = 3691.134, dw = -0.04814, nw = 1651 zThAr.0040.ec.fits: ap = 101, w1 = 3745.924, w2 = 3667.013, dw = -0.04782, nw = 1651 zThAr.0040.ec.fits: ap = 102, w1 = 3721.602, w2 = 3643.204, dw = -0.04751, nw = 1651 zThAr.0040.ec.fits: ap = 103, w1 = 3697.594, w2 = 3619.702, dw = -0.04721, nw = 1651 zThAr.0040.ec.fits: ap = 104, w1 = 3673.894, w2 = 3596.501, dw = -0.0469, nw = 1651 zThAr.0040.ec.fits: ap = 105, w1 = 3650.495, w2 = 3573.596, dw = -0.04661, nw = 1651 zThAr.0040.ec.fits: ap = 106, w1 = 3627.392, w2 = 3550.979, dw = -0.04631, nw = 1651 zThAr.0040.ec.fits: ap = 107, w1 = 3604.579, w2 = 3528.647, dw = -0.04602, nw = 1651 zThAr.0040.ec.fits: ap = 108, w1 = 3582.052, w2 = 3506.594, dw = -0.04573, nw = 1651 zThAr.0040.ec.fits: ap = 109, w1 = 3559.804, w2 = 3484.814, dw = -0.04545, nw = 1651 zThAr.0040.ec.fits: ap = 110, w1 = 3537.83, w2 = 3463.302, dw = -0.04517, nw = 1651 zThAr.0040.ec.fits: ap = 111, w1 = 3516.125, w2 = 3442.054, dw = -0.04489, nw = 1651 zThAr.0040.ec.fits: ap = 112, w1 = 3494.685, w2 = 3421.064, dw = -0.04462, nw = 1651 zThAr.0040.ec.fits: ap = 113, w1 = 3473.504, w2 = 3400.329, dw = -0.04435, nw = 1651 zThAr.0040.ec.fits: ap = 114, w1 = 3452.579, w2 = 3379.842, dw = -0.04408, nw = 1651 zThAr.0040.ec.fits: ap = 115, w1 = 3431.903, w2 = 3359.601, dw = -0.04382, nw = 1651 ThAr.0044.ec.fits: REFSPEC1 = 'ThAr.0044.ec 1.' zThAr.0044.ec.fits: ap = 1, w1 = 10812.2, w2 = 10583.99, dw = -0.13831, nw = 1651 zThAr.0044.ec.fits: ap = 2, w1 = 10611.99, w2 = 10388.01, dw = -0.13575, nw = 1651 zThAr.0044.ec.fits: ap = 3, w1 = 10419.05, w2 = 10199.15, dw = -0.13327, nw = 1651 zThAr.0044.ec.fits: ap = 4, w1 = 10233.01, w2 = 10017.04, dw = -0.13089, nw = 1651 zThAr.0044.ec.fits: ap = 5, w1 = 10053.5, w2 = 9841.324, dw = -0.12859, nw = 1651 zThAr.0044.ec.fits: ap = 6, w1 = 9880.173, w2 = 9671.663, dw = -0.12637, nw = 1651 zThAr.0044.ec.fits: ap = 7, w1 = 9712.724, w2 = 9507.753, dw = -0.12422, nw = 1651 zThAr.0044.ec.fits: ap = 8, w1 = 9550.856, w2 = 9349.307, dw = -0.12215, nw = 1651 zThAr.0044.ec.fits: ap = 9, w1 = 9394.296, w2 = 9196.055, dw = -0.12015, nw = 1651 zThAr.0044.ec.fits: ap = 10, w1 = 9242.786, w2 = 9047.746, dw = -0.11821, nw = 1651 zThAr.0044.ec.fits: ap = 11, w1 = 9096.086, w2 = 8904.146, dw = -0.11633, nw = 1651 zThAr.0044.ec.fits: ap = 12, w1 = 8953.97, w2 = 8765.033, dw = -0.11451, nw = 1651 zThAr.0044.ec.fits: ap = 13, w1 = 8816.227, w2 = 8630.201, dw = -0.11274, nw = 1651 zThAr.0044.ec.fits: ap = 14, w1 = 8682.659, w2 = 8499.454, dw = -0.11103, nw = 1651 zThAr.0044.ec.fits: ap = 15, w1 = 8553.077, w2 = 8372.61, dw = -0.10937, nw = 1651 zThAr.0044.ec.fits: ap = 16, w1 = 8427.307, w2 = 8249.496, dw = -0.10776, nw = 1651 zThAr.0044.ec.fits: ap = 17, w1 = 8305.182, w2 = 8129.951, dw = -0.1062, nw = 1651 zThAr.0044.ec.fits: ap = 18, w1 = 8186.547, w2 = 8013.822, dw = -0.10468, nw = 1651 zThAr.0044.ec.fits: ap = 19, w1 = 8071.253, w2 = 7900.964, dw = -0.10321, nw = 1651 zThAr.0044.ec.fits: ap = 20, w1 = 7959.162, w2 = 7791.24, dw = -0.10177, nw = 1651 zThAr.0044.ec.fits: ap = 21, w1 = 7850.143, w2 = 7684.523, dw = -0.10038, nw = 1651 zThAr.0044.ec.fits: ap = 22, w1 = 7744.069, w2 = 7580.69, dw = -0.09902, nw = 1651 zThAr.0044.ec.fits: ap = 23, w1 = 7640.825, w2 = 7479.626, dw = -0.0977, nw = 1651 zThAr.0044.ec.fits: ap = 24, w1 = 7540.297, w2 = 7381.221, dw = -0.09641, nw = 1651 zThAr.0044.ec.fits: ap = 25, w1 = 7442.381, w2 = 7285.373, dw = -0.09516, nw = 1651 zThAr.0044.ec.fits: ap = 26, w1 = 7346.975, w2 = 7191.982, dw = -0.09394, nw = 1651 zThAr.0044.ec.fits: ap = 27, w1 = 7253.985, w2 = 7100.955, dw = -0.09275, nw = 1651 zThAr.0044.ec.fits: ap = 28, w1 = 7163.32, w2 = 7012.204, dw = -0.09159, nw = 1651 zThAr.0044.ec.fits: ap = 29, w1 = 7074.893, w2 = 6925.644, dw = -0.09045, nw = 1651 zThAr.0044.ec.fits: ap = 30, w1 = 6988.623, w2 = 6841.196, dw = -0.08935, nw = 1651 zThAr.0044.ec.fits: ap = 31, w1 = 6904.432, w2 = 6758.783, dw = -0.08827, nw = 1651 zThAr.0044.ec.fits: ap = 32, w1 = 6822.246, w2 = 6678.332, dw = -0.08722, nw = 1651 zThAr.0044.ec.fits: ap = 33, w1 = 6741.993, w2 = 6599.773, dw = -0.08619, nw = 1651 zThAr.0044.ec.fits: ap = 34, w1 = 6663.607, w2 = 6523.042, dw = -0.08519, nw = 1651 zThAr.0044.ec.fits: ap = 35, w1 = 6587.023, w2 = 6448.075, dw = -0.08421, nw = 1651 zThAr.0044.ec.fits: ap = 36, w1 = 6512.179, w2 = 6374.812, dw = -0.08325, nw = 1651 zThAr.0044.ec.fits: ap = 37, w1 = 6439.018, w2 = 6303.195, dw = -0.08232, nw = 1651 zThAr.0044.ec.fits: ap = 38, w1 = 6367.482, w2 = 6233.17, dw = -0.0814, nw = 1651 zThAr.0044.ec.fits: ap = 39, w1 = 6297.519, w2 = 6164.684, dw = -0.08051, nw = 1651 zThAr.0044.ec.fits: ap = 40, w1 = 6229.076, w2 = 6097.686, dw = -0.07963, nw = 1651 zThAr.0044.ec.fits: ap = 41, w1 = 6162.106, w2 = 6032.13, dw = -0.07877, nw = 1651 zThAr.0044.ec.fits: ap = 42, w1 = 6096.56, w2 = 5967.968, dw = -0.07793, nw = 1651 zThAr.0044.ec.fits: ap = 43, w1 = 6032.395, w2 = 5905.158, dw = -0.07711, nw = 1651 zThAr.0044.ec.fits: ap = 44, w1 = 5969.566, w2 = 5843.656, dw = -0.07631, nw = 1651 zThAr.0044.ec.fits: ap = 45, w1 = 5908.033, w2 = 5783.422, dw = -0.07552, nw = 1651 zThAr.0044.ec.fits: ap = 46, w1 = 5847.755, w2 = 5724.417, dw = -0.07475, nw = 1651 zThAr.0044.ec.fits: ap = 47, w1 = 5788.695, w2 = 5666.605, dw = -0.07399, nw = 1651 zThAr.0044.ec.fits: ap = 48, w1 = 5730.817, w2 = 5609.949, dw = -0.07325, nw = 1651 zThAr.0044.ec.fits: ap = 49, w1 = 5674.085, w2 = 5554.415, dw = -0.07253, nw = 1651 zThAr.0044.ec.fits: ap = 50, w1 = 5618.465, w2 = 5499.969, dw = -0.07182, nw = 1651 zThAr.0044.ec.fits: ap = 51, w1 = 5563.925, w2 = 5446.582, dw = -0.07112, nw = 1651 zThAr.0044.ec.fits: ap = 52, w1 = 5510.434, w2 = 5394.221, dw = -0.07043, nw = 1651 zThAr.0044.ec.fits: ap = 53, w1 = 5457.962, w2 = 5342.857, dw = -0.06976, nw = 1651 zThAr.0044.ec.fits: ap = 54, w1 = 5406.48, w2 = 5292.463, dw = -0.0691, nw = 1651 zThAr.0044.ec.fits: ap = 55, w1 = 5355.96, w2 = 5243.01, dw = -0.06845, nw = 1651 zThAr.0044.ec.fits: ap = 56, w1 = 5306.376, w2 = 5194.474, dw = -0.06782, nw = 1651 zThAr.0044.ec.fits: ap = 57, w1 = 5257.702, w2 = 5146.828, dw = -0.0672, nw = 1651 zThAr.0044.ec.fits: ap = 58, w1 = 5209.913, w2 = 5100.049, dw = -0.06658, nw = 1651 zThAr.0044.ec.fits: ap = 59, w1 = 5162.985, w2 = 5054.112, dw = -0.06598, nw = 1651 zThAr.0044.ec.fits: ap = 60, w1 = 5116.895, w2 = 5008.996, dw = -0.06539, nw = 1651 zThAr.0044.ec.fits: ap = 61, w1 = 5071.62, w2 = 4964.679, dw = -0.06481, nw = 1651 zThAr.0044.ec.fits: ap = 62, w1 = 5027.14, w2 = 4921.139, dw = -0.06424, nw = 1651 zThAr.0044.ec.fits: ap = 63, w1 = 4983.434, w2 = 4878.357, dw = -0.06368, nw = 1651 zThAr.0044.ec.fits: ap = 64, w1 = 4940.481, w2 = 4836.312, dw = -0.06313, nw = 1651 zThAr.0044.ec.fits: ap = 65, w1 = 4898.262, w2 = 4794.986, dw = -0.06259, nw = 1651 zThAr.0044.ec.fits: ap = 66, w1 = 4856.759, w2 = 4754.361, dw = -0.06206, nw = 1651 zThAr.0044.ec.fits: ap = 67, w1 = 4815.953, w2 = 4714.418, dw = -0.06154, nw = 1651 zThAr.0044.ec.fits: ap = 68, w1 = 4775.828, w2 = 4675.142, dw = -0.06102, nw = 1651 zThAr.0044.ec.fits: ap = 69, w1 = 4736.366, w2 = 4636.514, dw = -0.06052, nw = 1651 zThAr.0044.ec.fits: ap = 70, w1 = 4697.55, w2 = 4598.52, dw = -0.06002, nw = 1651 zThAr.0044.ec.fits: ap = 71, w1 = 4659.366, w2 = 4561.144, dw = -0.05953, nw = 1651 zThAr.0044.ec.fits: ap = 72, w1 = 4621.798, w2 = 4524.371, dw = -0.05905, nw = 1651 zThAr.0044.ec.fits: ap = 73, w1 = 4584.831, w2 = 4488.186, dw = -0.05857, nw = 1651 zThAr.0044.ec.fits: ap = 74, w1 = 4548.45, w2 = 4452.576, dw = -0.05811, nw = 1651 zThAr.0044.ec.fits: ap = 75, w1 = 4512.643, w2 = 4417.526, dw = -0.05765, nw = 1651 zThAr.0044.ec.fits: ap = 76, w1 = 4477.394, w2 = 4383.025, dw = -0.05719, nw = 1651 zThAr.0044.ec.fits: ap = 77, w1 = 4442.693, w2 = 4349.058, dw = -0.05675, nw = 1651 zThAr.0044.ec.fits: ap = 78, w1 = 4408.525, w2 = 4315.614, dw = -0.05631, nw = 1651 zThAr.0044.ec.fits: ap = 79, w1 = 4374.879, w2 = 4282.681, dw = -0.05588, nw = 1651 zThAr.0044.ec.fits: ap = 80, w1 = 4341.742, w2 = 4250.246, dw = -0.05545, nw = 1651 zThAr.0044.ec.fits: ap = 81, w1 = 4309.104, w2 = 4218.3, dw = -0.05503, nw = 1651 zThAr.0044.ec.fits: ap = 82, w1 = 4276.953, w2 = 4186.83, dw = -0.05462, nw = 1651 zThAr.0044.ec.fits: ap = 83, w1 = 4245.278, w2 = 4155.827, dw = -0.05421, nw = 1651 zThAr.0044.ec.fits: ap = 84, w1 = 4214.069, w2 = 4125.28, dw = -0.05381, nw = 1651 zThAr.0044.ec.fits: ap = 85, w1 = 4183.316, w2 = 4095.179, dw = -0.05342, nw = 1651 zThAr.0044.ec.fits: ap = 86, w1 = 4153.008, w2 = 4065.514, dw = -0.05303, nw = 1651 zThAr.0044.ec.fits: ap = 87, w1 = 4123.136, w2 = 4036.276, dw = -0.05264, nw = 1651 zThAr.0044.ec.fits: ap = 88, w1 = 4093.691, w2 = 4007.455, dw = -0.05226, nw = 1651 zThAr.0044.ec.fits: ap = 89, w1 = 4064.663, w2 = 3979.044, dw = -0.05189, nw = 1651 zThAr.0044.ec.fits: ap = 90, w1 = 4036.044, w2 = 3951.033, dw = -0.05152, nw = 1651 zThAr.0044.ec.fits: ap = 91, w1 = 4007.826, w2 = 3923.414, dw = -0.05116, nw = 1651 zThAr.0044.ec.fits: ap = 92, w1 = 3979.999, w2 = 3896.178, dw = -0.0508, nw = 1651 zThAr.0044.ec.fits: ap = 93, w1 = 3952.556, w2 = 3869.318, dw = -0.05045, nw = 1651 zThAr.0044.ec.fits: ap = 94, w1 = 3925.489, w2 = 3842.826, dw = -0.0501, nw = 1651 zThAr.0044.ec.fits: ap = 95, w1 = 3898.79, w2 = 3816.695, dw = -0.04975, nw = 1651 zThAr.0044.ec.fits: ap = 96, w1 = 3872.451, w2 = 3790.916, dw = -0.04942, nw = 1651 zThAr.0044.ec.fits: ap = 97, w1 = 3846.467, w2 = 3765.484, dw = -0.04908, nw = 1651 zThAr.0044.ec.fits: ap = 98, w1 = 3820.828, w2 = 3740.391, dw = -0.04875, nw = 1651 zThAr.0044.ec.fits: ap = 99, w1 = 3795.529, w2 = 3715.631, dw = -0.04842, nw = 1651 zThAr.0044.ec.fits: ap = 100, w1 = 3770.563, w2 = 3691.196, dw = -0.0481, nw = 1651 zThAr.0044.ec.fits: ap = 101, w1 = 3745.923, w2 = 3667.08, dw = -0.04778, nw = 1651 zThAr.0044.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.278, dw = -0.04747, nw = 1651 zThAr.0044.ec.fits: ap = 103, w1 = 3697.596, w2 = 3619.783, dw = -0.04716, nw = 1651 zThAr.0044.ec.fits: ap = 104, w1 = 3673.898, w2 = 3596.59, dw = -0.04685, nw = 1651 zThAr.0044.ec.fits: ap = 105, w1 = 3650.501, w2 = 3573.691, dw = -0.04655, nw = 1651 zThAr.0044.ec.fits: ap = 106, w1 = 3627.4, w2 = 3551.083, dw = -0.04625, nw = 1651 zThAr.0044.ec.fits: ap = 107, w1 = 3604.589, w2 = 3528.759, dw = -0.04596, nw = 1651 zThAr.0044.ec.fits: ap = 108, w1 = 3582.064, w2 = 3506.714, dw = -0.04567, nw = 1651 zThAr.0044.ec.fits: ap = 109, w1 = 3559.818, w2 = 3484.943, dw = -0.04538, nw = 1651 zThAr.0044.ec.fits: ap = 110, w1 = 3537.847, w2 = 3463.441, dw = -0.04509, nw = 1651 zThAr.0044.ec.fits: ap = 111, w1 = 3516.145, w2 = 3442.203, dw = -0.04481, nw = 1651 zThAr.0044.ec.fits: ap = 112, w1 = 3494.708, w2 = 3421.223, dw = -0.04454, nw = 1651 zThAr.0044.ec.fits: ap = 113, w1 = 3473.53, w2 = 3400.498, dw = -0.04426, nw = 1651 zThAr.0044.ec.fits: ap = 114, w1 = 3452.608, w2 = 3380.023, dw = -0.04399, nw = 1651 zThAr.0044.ec.fits: ap = 115, w1 = 3431.935, w2 = 3359.793, dw = -0.04372, nw = 1651 ThAr.0049.ec.fits: REFSPEC1 = 'ThAr.0049.ec 1.' zThAr.0049.ec.fits: ap = 1, w1 = 10812.15, w2 = 10584.01, dw = -0.13827, nw = 1651 zThAr.0049.ec.fits: ap = 2, w1 = 10611.94, w2 = 10388.03, dw = -0.13571, nw = 1651 zThAr.0049.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.17, dw = -0.13324, nw = 1651 zThAr.0049.ec.fits: ap = 4, w1 = 10232.98, w2 = 10017.05, dw = -0.13086, nw = 1651 zThAr.0049.ec.fits: ap = 5, w1 = 10053.46, w2 = 9841.328, dw = -0.12857, nw = 1651 zThAr.0049.ec.fits: ap = 6, w1 = 9880.143, w2 = 9671.663, dw = -0.12635, nw = 1651 zThAr.0049.ec.fits: ap = 7, w1 = 9712.696, w2 = 9507.75, dw = -0.12421, nw = 1651 zThAr.0049.ec.fits: ap = 8, w1 = 9550.831, w2 = 9349.301, dw = -0.12214, nw = 1651 zThAr.0049.ec.fits: ap = 9, w1 = 9394.273, w2 = 9196.046, dw = -0.12014, nw = 1651 zThAr.0049.ec.fits: ap = 10, w1 = 9242.765, w2 = 9047.736, dw = -0.1182, nw = 1651 zThAr.0049.ec.fits: ap = 11, w1 = 9096.067, w2 = 8904.134, dw = -0.11632, nw = 1651 zThAr.0049.ec.fits: ap = 12, w1 = 8953.953, w2 = 8765.02, dw = -0.1145, nw = 1651 zThAr.0049.ec.fits: ap = 13, w1 = 8816.212, w2 = 8630.186, dw = -0.11274, nw = 1651 zThAr.0049.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.438, dw = -0.11103, nw = 1651 zThAr.0049.ec.fits: ap = 15, w1 = 8553.064, w2 = 8372.593, dw = -0.10938, nw = 1651 zThAr.0049.ec.fits: ap = 16, w1 = 8427.294, w2 = 8249.479, dw = -0.10777, nw = 1651 zThAr.0049.ec.fits: ap = 17, w1 = 8305.171, w2 = 8129.934, dw = -0.1062, nw = 1651 zThAr.0049.ec.fits: ap = 18, w1 = 8186.536, w2 = 8013.804, dw = -0.10469, nw = 1651 zThAr.0049.ec.fits: ap = 19, w1 = 8071.243, w2 = 7900.946, dw = -0.10321, nw = 1651 zThAr.0049.ec.fits: ap = 20, w1 = 7959.153, w2 = 7791.223, dw = -0.10178, nw = 1651 zThAr.0049.ec.fits: ap = 21, w1 = 7850.133, w2 = 7684.505, dw = -0.10038, nw = 1651 zThAr.0049.ec.fits: ap = 22, w1 = 7744.06, w2 = 7580.672, dw = -0.09902, nw = 1651 zThAr.0049.ec.fits: ap = 23, w1 = 7640.816, w2 = 7479.609, dw = -0.0977, nw = 1651 zThAr.0049.ec.fits: ap = 24, w1 = 7540.289, w2 = 7381.204, dw = -0.09641, nw = 1651 zThAr.0049.ec.fits: ap = 25, w1 = 7442.372, w2 = 7285.356, dw = -0.09516, nw = 1651 zThAr.0049.ec.fits: ap = 26, w1 = 7346.967, w2 = 7191.965, dw = -0.09394, nw = 1651 zThAr.0049.ec.fits: ap = 27, w1 = 7253.976, w2 = 7100.939, dw = -0.09275, nw = 1651 zThAr.0049.ec.fits: ap = 28, w1 = 7163.311, w2 = 7012.189, dw = -0.09159, nw = 1651 zThAr.0049.ec.fits: ap = 29, w1 = 7074.884, w2 = 6925.63, dw = -0.09046, nw = 1651 zThAr.0049.ec.fits: ap = 30, w1 = 6988.614, w2 = 6841.182, dw = -0.08935, nw = 1651 zThAr.0049.ec.fits: ap = 31, w1 = 6904.423, w2 = 6758.769, dw = -0.08827, nw = 1651 zThAr.0049.ec.fits: ap = 32, w1 = 6822.236, w2 = 6678.319, dw = -0.08722, nw = 1651 zThAr.0049.ec.fits: ap = 33, w1 = 6741.983, w2 = 6599.761, dw = -0.0862, nw = 1651 zThAr.0049.ec.fits: ap = 34, w1 = 6663.597, w2 = 6523.03, dw = -0.08519, nw = 1651 zThAr.0049.ec.fits: ap = 35, w1 = 6587.012, w2 = 6448.064, dw = -0.08421, nw = 1651 zThAr.0049.ec.fits: ap = 36, w1 = 6512.168, w2 = 6374.801, dw = -0.08325, nw = 1651 zThAr.0049.ec.fits: ap = 37, w1 = 6439.007, w2 = 6303.185, dw = -0.08232, nw = 1651 zThAr.0049.ec.fits: ap = 38, w1 = 6367.471, w2 = 6233.16, dw = -0.0814, nw = 1651 zThAr.0049.ec.fits: ap = 39, w1 = 6297.507, w2 = 6164.674, dw = -0.0805, nw = 1651 zThAr.0049.ec.fits: ap = 40, w1 = 6229.064, w2 = 6097.677, dw = -0.07963, nw = 1651 zThAr.0049.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.121, dw = -0.07877, nw = 1651 zThAr.0049.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.96, dw = -0.07793, nw = 1651 zThAr.0049.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.15, dw = -0.07711, nw = 1651 zThAr.0049.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.648, dw = -0.07631, nw = 1651 zThAr.0049.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.414, dw = -0.07552, nw = 1651 zThAr.0049.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.41, dw = -0.07475, nw = 1651 zThAr.0049.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.598, dw = -0.07399, nw = 1651 zThAr.0049.ec.fits: ap = 48, w1 = 5730.802, w2 = 5609.942, dw = -0.07325, nw = 1651 zThAr.0049.ec.fits: ap = 49, w1 = 5674.07, w2 = 5554.408, dw = -0.07252, nw = 1651 zThAr.0049.ec.fits: ap = 50, w1 = 5618.45, w2 = 5499.963, dw = -0.07181, nw = 1651 zThAr.0049.ec.fits: ap = 51, w1 = 5563.91, w2 = 5446.575, dw = -0.07111, nw = 1651 zThAr.0049.ec.fits: ap = 52, w1 = 5510.419, w2 = 5394.214, dw = -0.07043, nw = 1651 zThAr.0049.ec.fits: ap = 53, w1 = 5457.947, w2 = 5342.85, dw = -0.06976, nw = 1651 zThAr.0049.ec.fits: ap = 54, w1 = 5406.465, w2 = 5292.456, dw = -0.0691, nw = 1651 zThAr.0049.ec.fits: ap = 55, w1 = 5355.945, w2 = 5243.004, dw = -0.06845, nw = 1651 zThAr.0049.ec.fits: ap = 56, w1 = 5306.361, w2 = 5194.467, dw = -0.06781, nw = 1651 zThAr.0049.ec.fits: ap = 57, w1 = 5257.687, w2 = 5146.821, dw = -0.06719, nw = 1651 zThAr.0049.ec.fits: ap = 58, w1 = 5209.898, w2 = 5100.042, dw = -0.06658, nw = 1651 zThAr.0049.ec.fits: ap = 59, w1 = 5162.97, w2 = 5054.105, dw = -0.06598, nw = 1651 zThAr.0049.ec.fits: ap = 60, w1 = 5116.88, w2 = 5008.989, dw = -0.06539, nw = 1651 zThAr.0049.ec.fits: ap = 61, w1 = 5071.606, w2 = 4964.671, dw = -0.06481, nw = 1651 zThAr.0049.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.131, dw = -0.06424, nw = 1651 zThAr.0049.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.349, dw = -0.06368, nw = 1651 zThAr.0049.ec.fits: ap = 64, w1 = 4940.468, w2 = 4836.304, dw = -0.06313, nw = 1651 zThAr.0049.ec.fits: ap = 65, w1 = 4898.25, w2 = 4794.977, dw = -0.06259, nw = 1651 zThAr.0049.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.352, dw = -0.06206, nw = 1651 zThAr.0049.ec.fits: ap = 67, w1 = 4815.943, w2 = 4714.409, dw = -0.06154, nw = 1651 zThAr.0049.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.132, dw = -0.06102, nw = 1651 zThAr.0049.ec.fits: ap = 69, w1 = 4736.357, w2 = 4636.504, dw = -0.06052, nw = 1651 zThAr.0049.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.51, dw = -0.06002, nw = 1651 zThAr.0049.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.133, dw = -0.05953, nw = 1651 zThAr.0049.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.36, dw = -0.05905, nw = 1651 zThAr.0049.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.175, dw = -0.05858, nw = 1651 zThAr.0049.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.564, dw = -0.05811, nw = 1651 zThAr.0049.ec.fits: ap = 75, w1 = 4512.641, w2 = 4417.515, dw = -0.05765, nw = 1651 zThAr.0049.ec.fits: ap = 76, w1 = 4477.395, w2 = 4383.013, dw = -0.0572, nw = 1651 zThAr.0049.ec.fits: ap = 77, w1 = 4442.695, w2 = 4349.046, dw = -0.05676, nw = 1651 zThAr.0049.ec.fits: ap = 78, w1 = 4408.529, w2 = 4315.601, dw = -0.05632, nw = 1651 zThAr.0049.ec.fits: ap = 79, w1 = 4374.884, w2 = 4282.668, dw = -0.05589, nw = 1651 zThAr.0049.ec.fits: ap = 80, w1 = 4341.75, w2 = 4250.234, dw = -0.05546, nw = 1651 zThAr.0049.ec.fits: ap = 81, w1 = 4309.113, w2 = 4218.287, dw = -0.05505, nw = 1651 zThAr.0049.ec.fits: ap = 82, w1 = 4276.964, w2 = 4186.817, dw = -0.05463, nw = 1651 zThAr.0049.ec.fits: ap = 83, w1 = 4245.292, w2 = 4155.814, dw = -0.05423, nw = 1651 zThAr.0049.ec.fits: ap = 84, w1 = 4214.085, w2 = 4125.267, dw = -0.05383, nw = 1651 zThAr.0049.ec.fits: ap = 85, w1 = 4183.334, w2 = 4095.166, dw = -0.05344, nw = 1651 zThAr.0049.ec.fits: ap = 86, w1 = 4153.028, w2 = 4065.501, dw = -0.05305, nw = 1651 zThAr.0049.ec.fits: ap = 87, w1 = 4123.159, w2 = 4036.263, dw = -0.05266, nw = 1651 zThAr.0049.ec.fits: ap = 88, w1 = 4093.716, w2 = 4007.443, dw = -0.05229, nw = 1651 zThAr.0049.ec.fits: ap = 89, w1 = 4064.692, w2 = 3979.032, dw = -0.05191, nw = 1651 zThAr.0049.ec.fits: ap = 90, w1 = 4036.076, w2 = 3951.021, dw = -0.05155, nw = 1651 zThAr.0049.ec.fits: ap = 91, w1 = 4007.86, w2 = 3923.403, dw = -0.05119, nw = 1651 zThAr.0049.ec.fits: ap = 92, w1 = 3980.037, w2 = 3896.168, dw = -0.05083, nw = 1651 zThAr.0049.ec.fits: ap = 93, w1 = 3952.597, w2 = 3869.308, dw = -0.05048, nw = 1651 zThAr.0049.ec.fits: ap = 94, w1 = 3925.533, w2 = 3842.817, dw = -0.05013, nw = 1651 zThAr.0049.ec.fits: ap = 95, w1 = 3898.838, w2 = 3816.686, dw = -0.04979, nw = 1651 zThAr.0049.ec.fits: ap = 96, w1 = 3872.503, w2 = 3790.909, dw = -0.04945, nw = 1651 zThAr.0049.ec.fits: ap = 97, w1 = 3846.522, w2 = 3765.478, dw = -0.04912, nw = 1651 zThAr.0049.ec.fits: ap = 98, w1 = 3820.887, w2 = 3740.386, dw = -0.04879, nw = 1651 zThAr.0049.ec.fits: ap = 99, w1 = 3795.592, w2 = 3715.627, dw = -0.04846, nw = 1651 zThAr.0049.ec.fits: ap = 100, w1 = 3770.63, w2 = 3691.193, dw = -0.04814, nw = 1651 zThAr.0049.ec.fits: ap = 101, w1 = 3745.994, w2 = 3667.079, dw = -0.04783, nw = 1651 zThAr.0049.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.279, dw = -0.04752, nw = 1651 zThAr.0049.ec.fits: ap = 103, w1 = 3697.677, w2 = 3619.785, dw = -0.04721, nw = 1651 zThAr.0049.ec.fits: ap = 104, w1 = 3673.983, w2 = 3596.593, dw = -0.0469, nw = 1651 zThAr.0049.ec.fits: ap = 105, w1 = 3650.59, w2 = 3573.697, dw = -0.0466, nw = 1651 zThAr.0049.ec.fits: ap = 106, w1 = 3627.494, w2 = 3551.091, dw = -0.04631, nw = 1651 zThAr.0049.ec.fits: ap = 107, w1 = 3604.689, w2 = 3528.769, dw = -0.04601, nw = 1651 zThAr.0049.ec.fits: ap = 108, w1 = 3582.169, w2 = 3506.727, dw = -0.04572, nw = 1651 zThAr.0049.ec.fits: ap = 109, w1 = 3559.928, w2 = 3484.958, dw = -0.04544, nw = 1651 zThAr.0049.ec.fits: ap = 110, w1 = 3537.963, w2 = 3463.459, dw = -0.04515, nw = 1651 zThAr.0049.ec.fits: ap = 111, w1 = 3516.266, w2 = 3442.223, dw = -0.04487, nw = 1651 zThAr.0049.ec.fits: ap = 112, w1 = 3494.835, w2 = 3421.247, dw = -0.0446, nw = 1651 zThAr.0049.ec.fits: ap = 113, w1 = 3473.663, w2 = 3400.525, dw = -0.04433, nw = 1651 zThAr.0049.ec.fits: ap = 114, w1 = 3452.746, w2 = 3380.053, dw = -0.04406, nw = 1651 zThAr.0049.ec.fits: ap = 115, w1 = 3432.08, w2 = 3359.826, dw = -0.04379, nw = 1651 ThAr.0053.ec.fits: REFSPEC1 = 'ThAr.0053.ec 1.' zThAr.0053.ec.fits: ap = 1, w1 = 10812.13, w2 = 10583.9, dw = -0.13832, nw = 1651 zThAr.0053.ec.fits: ap = 2, w1 = 10611.92, w2 = 10387.92, dw = -0.13576, nw = 1651 zThAr.0053.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.07, dw = -0.13328, nw = 1651 zThAr.0053.ec.fits: ap = 4, w1 = 10232.95, w2 = 10016.97, dw = -0.1309, nw = 1651 zThAr.0053.ec.fits: ap = 5, w1 = 10053.44, w2 = 9841.251, dw = -0.1286, nw = 1651 zThAr.0053.ec.fits: ap = 6, w1 = 9880.116, w2 = 9671.593, dw = -0.12638, nw = 1651 zThAr.0053.ec.fits: ap = 7, w1 = 9712.669, w2 = 9507.686, dw = -0.12423, nw = 1651 zThAr.0053.ec.fits: ap = 8, w1 = 9550.803, w2 = 9349.242, dw = -0.12216, nw = 1651 zThAr.0053.ec.fits: ap = 9, w1 = 9394.244, w2 = 9195.992, dw = -0.12015, nw = 1651 zThAr.0053.ec.fits: ap = 10, w1 = 9242.736, w2 = 9047.686, dw = -0.11821, nw = 1651 zThAr.0053.ec.fits: ap = 11, w1 = 9096.038, w2 = 8904.088, dw = -0.11633, nw = 1651 zThAr.0053.ec.fits: ap = 12, w1 = 8953.924, w2 = 8764.977, dw = -0.11451, nw = 1651 zThAr.0053.ec.fits: ap = 13, w1 = 8816.182, w2 = 8630.146, dw = -0.11275, nw = 1651 zThAr.0053.ec.fits: ap = 14, w1 = 8682.615, w2 = 8499.4, dw = -0.11104, nw = 1651 zThAr.0053.ec.fits: ap = 15, w1 = 8553.035, w2 = 8372.558, dw = -0.10938, nw = 1651 zThAr.0053.ec.fits: ap = 16, w1 = 8427.266, w2 = 8249.445, dw = -0.10777, nw = 1651 zThAr.0053.ec.fits: ap = 17, w1 = 8305.142, w2 = 8129.902, dw = -0.10621, nw = 1651 zThAr.0053.ec.fits: ap = 18, w1 = 8186.508, w2 = 8013.773, dw = -0.10469, nw = 1651 zThAr.0053.ec.fits: ap = 19, w1 = 8071.215, w2 = 7900.916, dw = -0.10321, nw = 1651 zThAr.0053.ec.fits: ap = 20, w1 = 7959.125, w2 = 7791.193, dw = -0.10178, nw = 1651 zThAr.0053.ec.fits: ap = 21, w1 = 7850.107, w2 = 7684.477, dw = -0.10038, nw = 1651 zThAr.0053.ec.fits: ap = 22, w1 = 7744.034, w2 = 7580.644, dw = -0.09902, nw = 1651 zThAr.0053.ec.fits: ap = 23, w1 = 7640.79, w2 = 7479.581, dw = -0.0977, nw = 1651 zThAr.0053.ec.fits: ap = 24, w1 = 7540.263, w2 = 7381.177, dw = -0.09642, nw = 1651 zThAr.0053.ec.fits: ap = 25, w1 = 7442.348, w2 = 7285.329, dw = -0.09516, nw = 1651 zThAr.0053.ec.fits: ap = 26, w1 = 7346.942, w2 = 7191.939, dw = -0.09394, nw = 1651 zThAr.0053.ec.fits: ap = 27, w1 = 7253.953, w2 = 7100.912, dw = -0.09275, nw = 1651 zThAr.0053.ec.fits: ap = 28, w1 = 7163.288, w2 = 7012.162, dw = -0.09159, nw = 1651 zThAr.0053.ec.fits: ap = 29, w1 = 7074.861, w2 = 6925.603, dw = -0.09046, nw = 1651 zThAr.0053.ec.fits: ap = 30, w1 = 6988.591, w2 = 6841.155, dw = -0.08936, nw = 1651 zThAr.0053.ec.fits: ap = 31, w1 = 6904.401, w2 = 6758.742, dw = -0.08828, nw = 1651 zThAr.0053.ec.fits: ap = 32, w1 = 6822.214, w2 = 6678.292, dw = -0.08723, nw = 1651 zThAr.0053.ec.fits: ap = 33, w1 = 6741.962, w2 = 6599.734, dw = -0.0862, nw = 1651 zThAr.0053.ec.fits: ap = 34, w1 = 6663.576, w2 = 6523.003, dw = -0.0852, nw = 1651 zThAr.0053.ec.fits: ap = 35, w1 = 6586.992, w2 = 6448.037, dw = -0.08422, nw = 1651 zThAr.0053.ec.fits: ap = 36, w1 = 6512.148, w2 = 6374.774, dw = -0.08326, nw = 1651 zThAr.0053.ec.fits: ap = 37, w1 = 6438.986, w2 = 6303.158, dw = -0.08232, nw = 1651 zThAr.0053.ec.fits: ap = 38, w1 = 6367.451, w2 = 6233.133, dw = -0.0814, nw = 1651 zThAr.0053.ec.fits: ap = 39, w1 = 6297.487, w2 = 6164.647, dw = -0.08051, nw = 1651 zThAr.0053.ec.fits: ap = 40, w1 = 6229.044, w2 = 6097.65, dw = -0.07963, nw = 1651 zThAr.0053.ec.fits: ap = 41, w1 = 6162.074, w2 = 6032.095, dw = -0.07878, nw = 1651 zThAr.0053.ec.fits: ap = 42, w1 = 6096.528, w2 = 5967.934, dw = -0.07794, nw = 1651 zThAr.0053.ec.fits: ap = 43, w1 = 6032.362, w2 = 5905.123, dw = -0.07711, nw = 1651 zThAr.0053.ec.fits: ap = 44, w1 = 5969.533, w2 = 5843.622, dw = -0.07631, nw = 1651 zThAr.0053.ec.fits: ap = 45, w1 = 5908., w2 = 5783.389, dw = -0.07552, nw = 1651 zThAr.0053.ec.fits: ap = 46, w1 = 5847.722, w2 = 5724.385, dw = -0.07475, nw = 1651 zThAr.0053.ec.fits: ap = 47, w1 = 5788.662, w2 = 5666.573, dw = -0.07399, nw = 1651 zThAr.0053.ec.fits: ap = 48, w1 = 5730.784, w2 = 5609.917, dw = -0.07325, nw = 1651 zThAr.0053.ec.fits: ap = 49, w1 = 5674.051, w2 = 5554.384, dw = -0.07253, nw = 1651 zThAr.0053.ec.fits: ap = 50, w1 = 5618.431, w2 = 5499.939, dw = -0.07181, nw = 1651 zThAr.0053.ec.fits: ap = 51, w1 = 5563.891, w2 = 5446.552, dw = -0.07111, nw = 1651 zThAr.0053.ec.fits: ap = 52, w1 = 5510.4, w2 = 5394.192, dw = -0.07043, nw = 1651 zThAr.0053.ec.fits: ap = 53, w1 = 5457.928, w2 = 5342.829, dw = -0.06976, nw = 1651 zThAr.0053.ec.fits: ap = 54, w1 = 5406.446, w2 = 5292.435, dw = -0.0691, nw = 1651 zThAr.0053.ec.fits: ap = 55, w1 = 5355.927, w2 = 5242.984, dw = -0.06845, nw = 1651 zThAr.0053.ec.fits: ap = 56, w1 = 5306.343, w2 = 5194.448, dw = -0.06782, nw = 1651 zThAr.0053.ec.fits: ap = 57, w1 = 5257.669, w2 = 5146.803, dw = -0.06719, nw = 1651 zThAr.0053.ec.fits: ap = 58, w1 = 5209.88, w2 = 5100.024, dw = -0.06658, nw = 1651 zThAr.0053.ec.fits: ap = 59, w1 = 5162.952, w2 = 5054.088, dw = -0.06598, nw = 1651 zThAr.0053.ec.fits: ap = 60, w1 = 5116.862, w2 = 5008.973, dw = -0.06539, nw = 1651 zThAr.0053.ec.fits: ap = 61, w1 = 5071.588, w2 = 4964.656, dw = -0.06481, nw = 1651 zThAr.0053.ec.fits: ap = 62, w1 = 5027.108, w2 = 4921.117, dw = -0.06424, nw = 1651 zThAr.0053.ec.fits: ap = 63, w1 = 4983.403, w2 = 4878.335, dw = -0.06368, nw = 1651 zThAr.0053.ec.fits: ap = 64, w1 = 4940.45, w2 = 4836.291, dw = -0.06313, nw = 1651 zThAr.0053.ec.fits: ap = 65, w1 = 4898.233, w2 = 4794.965, dw = -0.06259, nw = 1651 zThAr.0053.ec.fits: ap = 66, w1 = 4856.73, w2 = 4754.34, dw = -0.06205, nw = 1651 zThAr.0053.ec.fits: ap = 67, w1 = 4815.926, w2 = 4714.398, dw = -0.06153, nw = 1651 zThAr.0053.ec.fits: ap = 68, w1 = 4775.802, w2 = 4675.122, dw = -0.06102, nw = 1651 zThAr.0053.ec.fits: ap = 69, w1 = 4736.341, w2 = 4636.495, dw = -0.06051, nw = 1651 zThAr.0053.ec.fits: ap = 70, w1 = 4697.527, w2 = 4598.501, dw = -0.06002, nw = 1651 zThAr.0053.ec.fits: ap = 71, w1 = 4659.344, w2 = 4561.126, dw = -0.05953, nw = 1651 zThAr.0053.ec.fits: ap = 72, w1 = 4621.777, w2 = 4524.353, dw = -0.05905, nw = 1651 zThAr.0053.ec.fits: ap = 73, w1 = 4584.812, w2 = 4488.168, dw = -0.05857, nw = 1651 zThAr.0053.ec.fits: ap = 74, w1 = 4548.433, w2 = 4452.558, dw = -0.05811, nw = 1651 zThAr.0053.ec.fits: ap = 75, w1 = 4512.628, w2 = 4417.509, dw = -0.05765, nw = 1651 zThAr.0053.ec.fits: ap = 76, w1 = 4477.382, w2 = 4383.007, dw = -0.0572, nw = 1651 zThAr.0053.ec.fits: ap = 77, w1 = 4442.683, w2 = 4349.041, dw = -0.05675, nw = 1651 zThAr.0053.ec.fits: ap = 78, w1 = 4408.518, w2 = 4315.597, dw = -0.05632, nw = 1651 zThAr.0053.ec.fits: ap = 79, w1 = 4374.874, w2 = 4282.663, dw = -0.05589, nw = 1651 zThAr.0053.ec.fits: ap = 80, w1 = 4341.741, w2 = 4250.229, dw = -0.05546, nw = 1651 zThAr.0053.ec.fits: ap = 81, w1 = 4309.106, w2 = 4218.282, dw = -0.05504, nw = 1651 zThAr.0053.ec.fits: ap = 82, w1 = 4276.958, w2 = 4186.812, dw = -0.05463, nw = 1651 zThAr.0053.ec.fits: ap = 83, w1 = 4245.287, w2 = 4155.809, dw = -0.05423, nw = 1651 zThAr.0053.ec.fits: ap = 84, w1 = 4214.082, w2 = 4125.261, dw = -0.05383, nw = 1651 zThAr.0053.ec.fits: ap = 85, w1 = 4183.332, w2 = 4095.159, dw = -0.05344, nw = 1651 zThAr.0053.ec.fits: ap = 86, w1 = 4153.029, w2 = 4065.494, dw = -0.05305, nw = 1651 zThAr.0053.ec.fits: ap = 87, w1 = 4123.161, w2 = 4036.255, dw = -0.05267, nw = 1651 zThAr.0053.ec.fits: ap = 88, w1 = 4093.721, w2 = 4007.434, dw = -0.05229, nw = 1651 zThAr.0053.ec.fits: ap = 89, w1 = 4064.698, w2 = 3979.022, dw = -0.05192, nw = 1651 zThAr.0053.ec.fits: ap = 90, w1 = 4036.085, w2 = 3951.01, dw = -0.05156, nw = 1651 zThAr.0053.ec.fits: ap = 91, w1 = 4007.871, w2 = 3923.39, dw = -0.0512, nw = 1651 zThAr.0053.ec.fits: ap = 92, w1 = 3980.05, w2 = 3896.153, dw = -0.05085, nw = 1651 zThAr.0053.ec.fits: ap = 93, w1 = 3952.613, w2 = 3869.292, dw = -0.0505, nw = 1651 zThAr.0053.ec.fits: ap = 94, w1 = 3925.552, w2 = 3842.798, dw = -0.05015, nw = 1651 zThAr.0053.ec.fits: ap = 95, w1 = 3898.86, w2 = 3816.666, dw = -0.04981, nw = 1651 zThAr.0053.ec.fits: ap = 96, w1 = 3872.528, w2 = 3790.886, dw = -0.04948, nw = 1651 zThAr.0053.ec.fits: ap = 97, w1 = 3846.551, w2 = 3765.452, dw = -0.04915, nw = 1651 zThAr.0053.ec.fits: ap = 98, w1 = 3820.919, w2 = 3740.357, dw = -0.04883, nw = 1651 zThAr.0053.ec.fits: ap = 99, w1 = 3795.628, w2 = 3715.594, dw = -0.04851, nw = 1651 zThAr.0053.ec.fits: ap = 100, w1 = 3770.67, w2 = 3691.157, dw = -0.04819, nw = 1651 zThAr.0053.ec.fits: ap = 101, w1 = 3746.038, w2 = 3667.04, dw = -0.04788, nw = 1651 zThAr.0053.ec.fits: ap = 102, w1 = 3721.727, w2 = 3643.235, dw = -0.04757, nw = 1651 zThAr.0053.ec.fits: ap = 103, w1 = 3697.729, w2 = 3619.738, dw = -0.04727, nw = 1651 zThAr.0053.ec.fits: ap = 104, w1 = 3674.04, w2 = 3596.541, dw = -0.04697, nw = 1651 zThAr.0053.ec.fits: ap = 105, w1 = 3650.652, w2 = 3573.64, dw = -0.04667, nw = 1651 zThAr.0053.ec.fits: ap = 106, w1 = 3627.561, w2 = 3551.029, dw = -0.04638, nw = 1651 zThAr.0053.ec.fits: ap = 107, w1 = 3604.761, w2 = 3528.702, dw = -0.0461, nw = 1651 zThAr.0053.ec.fits: ap = 108, w1 = 3582.246, w2 = 3506.654, dw = -0.04581, nw = 1651 zThAr.0053.ec.fits: ap = 109, w1 = 3560.012, w2 = 3484.879, dw = -0.04553, nw = 1651 zThAr.0053.ec.fits: ap = 110, w1 = 3538.052, w2 = 3463.373, dw = -0.04526, nw = 1651 zThAr.0053.ec.fits: ap = 111, w1 = 3516.362, w2 = 3442.131, dw = -0.04499, nw = 1651 zThAr.0053.ec.fits: ap = 112, w1 = 3494.936, w2 = 3421.148, dw = -0.04472, nw = 1651 zThAr.0053.ec.fits: ap = 113, w1 = 3473.771, w2 = 3400.419, dw = -0.04446, nw = 1651 zThAr.0053.ec.fits: ap = 114, w1 = 3452.862, w2 = 3379.939, dw = -0.0442, nw = 1651 zThAr.0053.ec.fits: ap = 115, w1 = 3432.203, w2 = 3359.704, dw = -0.04394, nw = 1651 ThAr.0055.ec.fits: REFSPEC1 = 'ThAr.0055.ec 1.' zThAr.0055.ec.fits: ap = 1, w1 = 10812.14, w2 = 10583.93, dw = -0.13831, nw = 1651 zThAr.0055.ec.fits: ap = 2, w1 = 10611.92, w2 = 10387.95, dw = -0.13574, nw = 1651 zThAr.0055.ec.fits: ap = 3, w1 = 10418.99, w2 = 10199.09, dw = -0.13327, nw = 1651 zThAr.0055.ec.fits: ap = 4, w1 = 10232.95, w2 = 10016.98, dw = -0.13089, nw = 1651 zThAr.0055.ec.fits: ap = 5, w1 = 10053.43, w2 = 9841.264, dw = -0.12859, nw = 1651 zThAr.0055.ec.fits: ap = 6, w1 = 9880.106, w2 = 9671.603, dw = -0.12637, nw = 1651 zThAr.0055.ec.fits: ap = 7, w1 = 9712.657, w2 = 9507.693, dw = -0.12422, nw = 1651 zThAr.0055.ec.fits: ap = 8, w1 = 9550.791, w2 = 9349.247, dw = -0.12215, nw = 1651 zThAr.0055.ec.fits: ap = 9, w1 = 9394.231, w2 = 9195.995, dw = -0.12014, nw = 1651 zThAr.0055.ec.fits: ap = 10, w1 = 9242.722, w2 = 9047.687, dw = -0.1182, nw = 1651 zThAr.0055.ec.fits: ap = 11, w1 = 9096.024, w2 = 8904.087, dw = -0.11633, nw = 1651 zThAr.0055.ec.fits: ap = 12, w1 = 8953.909, w2 = 8764.975, dw = -0.11451, nw = 1651 zThAr.0055.ec.fits: ap = 13, w1 = 8816.168, w2 = 8630.142, dw = -0.11274, nw = 1651 zThAr.0055.ec.fits: ap = 14, w1 = 8682.601, w2 = 8499.396, dw = -0.11103, nw = 1651 zThAr.0055.ec.fits: ap = 15, w1 = 8553.021, w2 = 8372.552, dw = -0.10937, nw = 1651 zThAr.0055.ec.fits: ap = 16, w1 = 8427.252, w2 = 8249.44, dw = -0.10777, nw = 1651 zThAr.0055.ec.fits: ap = 17, w1 = 8305.129, w2 = 8129.895, dw = -0.1062, nw = 1651 zThAr.0055.ec.fits: ap = 18, w1 = 8186.495, w2 = 8013.766, dw = -0.10468, nw = 1651 zThAr.0055.ec.fits: ap = 19, w1 = 8071.203, w2 = 7900.908, dw = -0.10321, nw = 1651 zThAr.0055.ec.fits: ap = 20, w1 = 7959.114, w2 = 7791.186, dw = -0.10177, nw = 1651 zThAr.0055.ec.fits: ap = 21, w1 = 7850.096, w2 = 7684.469, dw = -0.10038, nw = 1651 zThAr.0055.ec.fits: ap = 22, w1 = 7744.024, w2 = 7580.637, dw = -0.09902, nw = 1651 zThAr.0055.ec.fits: ap = 23, w1 = 7640.781, w2 = 7479.573, dw = -0.0977, nw = 1651 zThAr.0055.ec.fits: ap = 24, w1 = 7540.255, w2 = 7381.169, dw = -0.09642, nw = 1651 zThAr.0055.ec.fits: ap = 25, w1 = 7442.339, w2 = 7285.321, dw = -0.09516, nw = 1651 zThAr.0055.ec.fits: ap = 26, w1 = 7346.935, w2 = 7191.931, dw = -0.09394, nw = 1651 zThAr.0055.ec.fits: ap = 27, w1 = 7253.946, w2 = 7100.905, dw = -0.09275, nw = 1651 zThAr.0055.ec.fits: ap = 28, w1 = 7163.281, w2 = 7012.154, dw = -0.09159, nw = 1651 zThAr.0055.ec.fits: ap = 29, w1 = 7074.856, w2 = 6925.595, dw = -0.09046, nw = 1651 zThAr.0055.ec.fits: ap = 30, w1 = 6988.586, w2 = 6841.148, dw = -0.08936, nw = 1651 zThAr.0055.ec.fits: ap = 31, w1 = 6904.396, w2 = 6758.735, dw = -0.08828, nw = 1651 zThAr.0055.ec.fits: ap = 32, w1 = 6822.21, w2 = 6678.285, dw = -0.08723, nw = 1651 zThAr.0055.ec.fits: ap = 33, w1 = 6741.958, w2 = 6599.727, dw = -0.0862, nw = 1651 zThAr.0055.ec.fits: ap = 34, w1 = 6663.573, w2 = 6522.997, dw = -0.0852, nw = 1651 zThAr.0055.ec.fits: ap = 35, w1 = 6586.989, w2 = 6448.03, dw = -0.08422, nw = 1651 zThAr.0055.ec.fits: ap = 36, w1 = 6512.146, w2 = 6374.768, dw = -0.08326, nw = 1651 zThAr.0055.ec.fits: ap = 37, w1 = 6438.984, w2 = 6303.151, dw = -0.08232, nw = 1651 zThAr.0055.ec.fits: ap = 38, w1 = 6367.449, w2 = 6233.127, dw = -0.08141, nw = 1651 zThAr.0055.ec.fits: ap = 39, w1 = 6297.485, w2 = 6164.641, dw = -0.08051, nw = 1651 zThAr.0055.ec.fits: ap = 40, w1 = 6229.043, w2 = 6097.644, dw = -0.07964, nw = 1651 zThAr.0055.ec.fits: ap = 41, w1 = 6162.072, w2 = 6032.088, dw = -0.07878, nw = 1651 zThAr.0055.ec.fits: ap = 42, w1 = 6096.526, w2 = 5967.927, dw = -0.07794, nw = 1651 zThAr.0055.ec.fits: ap = 43, w1 = 6032.361, w2 = 5905.117, dw = -0.07712, nw = 1651 zThAr.0055.ec.fits: ap = 44, w1 = 5969.532, w2 = 5843.616, dw = -0.07631, nw = 1651 zThAr.0055.ec.fits: ap = 45, w1 = 5907.998, w2 = 5783.382, dw = -0.07552, nw = 1651 zThAr.0055.ec.fits: ap = 46, w1 = 5847.72, w2 = 5724.378, dw = -0.07475, nw = 1651 zThAr.0055.ec.fits: ap = 47, w1 = 5788.66, w2 = 5666.566, dw = -0.074, nw = 1651 zThAr.0055.ec.fits: ap = 48, w1 = 5730.781, w2 = 5609.911, dw = -0.07325, nw = 1651 zThAr.0055.ec.fits: ap = 49, w1 = 5674.049, w2 = 5554.377, dw = -0.07253, nw = 1651 zThAr.0055.ec.fits: ap = 50, w1 = 5618.428, w2 = 5499.933, dw = -0.07182, nw = 1651 zThAr.0055.ec.fits: ap = 51, w1 = 5563.888, w2 = 5446.545, dw = -0.07112, nw = 1651 zThAr.0055.ec.fits: ap = 52, w1 = 5510.397, w2 = 5394.185, dw = -0.07043, nw = 1651 zThAr.0055.ec.fits: ap = 53, w1 = 5457.924, w2 = 5342.821, dw = -0.06976, nw = 1651 zThAr.0055.ec.fits: ap = 54, w1 = 5406.442, w2 = 5292.427, dw = -0.0691, nw = 1651 zThAr.0055.ec.fits: ap = 55, w1 = 5355.922, w2 = 5242.975, dw = -0.06845, nw = 1651 zThAr.0055.ec.fits: ap = 56, w1 = 5306.337, w2 = 5194.439, dw = -0.06782, nw = 1651 zThAr.0055.ec.fits: ap = 57, w1 = 5257.663, w2 = 5146.794, dw = -0.06719, nw = 1651 zThAr.0055.ec.fits: ap = 58, w1 = 5209.873, w2 = 5100.015, dw = -0.06658, nw = 1651 zThAr.0055.ec.fits: ap = 59, w1 = 5162.945, w2 = 5054.079, dw = -0.06598, nw = 1651 zThAr.0055.ec.fits: ap = 60, w1 = 5116.854, w2 = 5008.963, dw = -0.06539, nw = 1651 zThAr.0055.ec.fits: ap = 61, w1 = 5071.58, w2 = 4964.646, dw = -0.06481, nw = 1651 zThAr.0055.ec.fits: ap = 62, w1 = 5027.1, w2 = 4921.106, dw = -0.06424, nw = 1651 zThAr.0055.ec.fits: ap = 63, w1 = 4983.394, w2 = 4878.324, dw = -0.06368, nw = 1651 zThAr.0055.ec.fits: ap = 64, w1 = 4940.441, w2 = 4836.279, dw = -0.06313, nw = 1651 zThAr.0055.ec.fits: ap = 65, w1 = 4898.223, w2 = 4794.954, dw = -0.06259, nw = 1651 zThAr.0055.ec.fits: ap = 66, w1 = 4856.72, w2 = 4754.328, dw = -0.06206, nw = 1651 zThAr.0055.ec.fits: ap = 67, w1 = 4815.915, w2 = 4714.386, dw = -0.06153, nw = 1651 zThAr.0055.ec.fits: ap = 68, w1 = 4775.79, w2 = 4675.109, dw = -0.06102, nw = 1651 zThAr.0055.ec.fits: ap = 69, w1 = 4736.329, w2 = 4636.482, dw = -0.06051, nw = 1651 zThAr.0055.ec.fits: ap = 70, w1 = 4697.515, w2 = 4598.488, dw = -0.06002, nw = 1651 zThAr.0055.ec.fits: ap = 71, w1 = 4659.332, w2 = 4561.112, dw = -0.05953, nw = 1651 zThAr.0055.ec.fits: ap = 72, w1 = 4621.765, w2 = 4524.339, dw = -0.05905, nw = 1651 zThAr.0055.ec.fits: ap = 73, w1 = 4584.8, w2 = 4488.154, dw = -0.05857, nw = 1651 zThAr.0055.ec.fits: ap = 74, w1 = 4548.421, w2 = 4452.543, dw = -0.05811, nw = 1651 zThAr.0055.ec.fits: ap = 75, w1 = 4512.616, w2 = 4417.494, dw = -0.05765, nw = 1651 zThAr.0055.ec.fits: ap = 76, w1 = 4477.37, w2 = 4382.992, dw = -0.0572, nw = 1651 zThAr.0055.ec.fits: ap = 77, w1 = 4442.671, w2 = 4349.025, dw = -0.05675, nw = 1651 zThAr.0055.ec.fits: ap = 78, w1 = 4408.506, w2 = 4315.581, dw = -0.05632, nw = 1651 zThAr.0055.ec.fits: ap = 79, w1 = 4374.863, w2 = 4282.648, dw = -0.05589, nw = 1651 zThAr.0055.ec.fits: ap = 80, w1 = 4341.73, w2 = 4250.213, dw = -0.05546, nw = 1651 zThAr.0055.ec.fits: ap = 81, w1 = 4309.095, w2 = 4218.266, dw = -0.05505, nw = 1651 zThAr.0055.ec.fits: ap = 82, w1 = 4276.948, w2 = 4186.797, dw = -0.05464, nw = 1651 zThAr.0055.ec.fits: ap = 83, w1 = 4245.278, w2 = 4155.793, dw = -0.05423, nw = 1651 zThAr.0055.ec.fits: ap = 84, w1 = 4214.073, w2 = 4125.245, dw = -0.05383, nw = 1651 zThAr.0055.ec.fits: ap = 85, w1 = 4183.325, w2 = 4095.144, dw = -0.05344, nw = 1651 zThAr.0055.ec.fits: ap = 86, w1 = 4153.022, w2 = 4065.479, dw = -0.05306, nw = 1651 zThAr.0055.ec.fits: ap = 87, w1 = 4123.156, w2 = 4036.24, dw = -0.05268, nw = 1651 zThAr.0055.ec.fits: ap = 88, w1 = 4093.717, w2 = 4007.42, dw = -0.0523, nw = 1651 zThAr.0055.ec.fits: ap = 89, w1 = 4064.696, w2 = 3979.008, dw = -0.05193, nw = 1651 zThAr.0055.ec.fits: ap = 90, w1 = 4036.084, w2 = 3950.996, dw = -0.05157, nw = 1651 zThAr.0055.ec.fits: ap = 91, w1 = 4007.873, w2 = 3923.376, dw = -0.05121, nw = 1651 zThAr.0055.ec.fits: ap = 92, w1 = 3980.053, w2 = 3896.14, dw = -0.05086, nw = 1651 zThAr.0055.ec.fits: ap = 93, w1 = 3952.619, w2 = 3869.28, dw = -0.05051, nw = 1651 zThAr.0055.ec.fits: ap = 94, w1 = 3925.56, w2 = 3842.787, dw = -0.05017, nw = 1651 zThAr.0055.ec.fits: ap = 95, w1 = 3898.87, w2 = 3816.655, dw = -0.04983, nw = 1651 zThAr.0055.ec.fits: ap = 96, w1 = 3872.541, w2 = 3790.876, dw = -0.04949, nw = 1651 zThAr.0055.ec.fits: ap = 97, w1 = 3846.566, w2 = 3765.444, dw = -0.04917, nw = 1651 zThAr.0055.ec.fits: ap = 98, w1 = 3820.938, w2 = 3740.35, dw = -0.04884, nw = 1651 zThAr.0055.ec.fits: ap = 99, w1 = 3795.65, w2 = 3715.589, dw = -0.04852, nw = 1651 zThAr.0055.ec.fits: ap = 100, w1 = 3770.696, w2 = 3691.153, dw = -0.04821, nw = 1651 zThAr.0055.ec.fits: ap = 101, w1 = 3746.068, w2 = 3667.037, dw = -0.0479, nw = 1651 zThAr.0055.ec.fits: ap = 102, w1 = 3721.76, w2 = 3643.234, dw = -0.04759, nw = 1651 zThAr.0055.ec.fits: ap = 103, w1 = 3697.767, w2 = 3619.738, dw = -0.04729, nw = 1651 zThAr.0055.ec.fits: ap = 104, w1 = 3674.082, w2 = 3596.544, dw = -0.04699, nw = 1651 zThAr.0055.ec.fits: ap = 105, w1 = 3650.699, w2 = 3573.645, dw = -0.0467, nw = 1651 zThAr.0055.ec.fits: ap = 106, w1 = 3627.613, w2 = 3551.036, dw = -0.04641, nw = 1651 zThAr.0055.ec.fits: ap = 107, w1 = 3604.818, w2 = 3528.711, dw = -0.04613, nw = 1651 zThAr.0055.ec.fits: ap = 108, w1 = 3582.309, w2 = 3506.665, dw = -0.04584, nw = 1651 zThAr.0055.ec.fits: ap = 109, w1 = 3560.08, w2 = 3484.893, dw = -0.04557, nw = 1651 zThAr.0055.ec.fits: ap = 110, w1 = 3538.126, w2 = 3463.39, dw = -0.04529, nw = 1651 zThAr.0055.ec.fits: ap = 111, w1 = 3516.442, w2 = 3442.15, dw = -0.04503, nw = 1651 zThAr.0055.ec.fits: ap = 112, w1 = 3495.024, w2 = 3421.17, dw = -0.04476, nw = 1651 zThAr.0055.ec.fits: ap = 113, w1 = 3473.866, w2 = 3400.444, dw = -0.0445, nw = 1651 zThAr.0055.ec.fits: ap = 114, w1 = 3452.963, w2 = 3379.968, dw = -0.04424, nw = 1651 zThAr.0055.ec.fits: ap = 115, w1 = 3432.312, w2 = 3359.736, dw = -0.04399, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Dec 9 17:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0020.ec.fits[ 1] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 2] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 3] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 4] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 5] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 6] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 7] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 8] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 9] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 10] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 11] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 12] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 13] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 14] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 15] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 16] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 17] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 18] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 19] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 20] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 21] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 22] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 23] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 24] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 25] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 26] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 27] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 28] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 29] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 30] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 31] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 32] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 33] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 34] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 35] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 36] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 37] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 38] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 39] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 40] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 41] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 42] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 43] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 44] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 45] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 46] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 47] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 48] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 49] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 50] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 51] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 52] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 53] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 54] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 55] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 56] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 57] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 58] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 59] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 60] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 61] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 62] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 63] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 64] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 65] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 66] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 67] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 68] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 69] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 70] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 71] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 72] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 73] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 74] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 75] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 76] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 77] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 78] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 79] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 80] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 81] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 82] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 83] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 84] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 85] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 86] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 87] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 88] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 89] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 90] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 91] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 92] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 93] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 94] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 95] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 96] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 97] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 98] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[ 99] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[100] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[101] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[102] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[103] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[104] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[105] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[106] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[107] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[108] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[109] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[110] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[111] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[112] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[113] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[114] 1800.0 1.000 0. 0.009 130902.0020.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum130902.0020.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.801, w2 = 10812.27, dw = 0.04383081, nw = 170029., dtype = 0 Dec 9 17:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[100] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[101] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[102] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[103] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[104] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[105] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[106] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[107] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[108] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[109] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[110] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[111] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[112] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[113] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[114] 1500.0 1.000 0. 0.009 130902.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum130902.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.744, w2 = 10812.28, dw = 0.04381344, nw = 170098., dtype = 0 Dec 9 17:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[100] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[101] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[102] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[103] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[104] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[105] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[106] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[107] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[108] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[109] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[110] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[111] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[112] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[113] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[114] 1200.0 1.000 0. 0.009 130902.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum130902.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.644, w2 = 10812.25, dw = 0.04377348, nw = 170255., dtype = 0 Dec 9 17:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 130902.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 130902.0025.ec.fits[100] 900.0 1.000 0. 0.009 130902.0025.ec.fits[101] 900.0 1.000 0. 0.009 130902.0025.ec.fits[102] 900.0 1.000 0. 0.009 130902.0025.ec.fits[103] 900.0 1.000 0. 0.009 130902.0025.ec.fits[104] 900.0 1.000 0. 0.009 130902.0025.ec.fits[105] 900.0 1.000 0. 0.009 130902.0025.ec.fits[106] 900.0 1.000 0. 0.009 130902.0025.ec.fits[107] 900.0 1.000 0. 0.009 130902.0025.ec.fits[108] 900.0 1.000 0. 0.009 130902.0025.ec.fits[109] 900.0 1.000 0. 0.009 130902.0025.ec.fits[110] 900.0 1.000 0. 0.009 130902.0025.ec.fits[111] 900.0 1.000 0. 0.009 130902.0025.ec.fits[112] 900.0 1.000 0. 0.009 130902.0025.ec.fits[113] 900.0 1.000 0. 0.009 130902.0025.ec.fits[114] 900.0 1.000 0. 0.009 130902.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130902.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.623, w2 = 10812.24, dw = 0.04376117, nw = 170303., dtype = 0 Dec 9 17:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[100] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[101] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[102] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[103] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[104] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[105] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[106] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[107] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[108] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[109] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[110] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[111] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[112] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[113] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[114] 1200.0 1.000 0. 0.009 130902.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum130902.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.676, w2 = 10812.23, dw = 0.04377547, nw = 170246., dtype = 0 Dec 9 17:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 130902.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 130902.0027.ec.fits[100] 600.0 1.000 0. 0.009 130902.0027.ec.fits[101] 600.0 1.000 0. 0.009 130902.0027.ec.fits[102] 600.0 1.000 0. 0.009 130902.0027.ec.fits[103] 600.0 1.000 0. 0.009 130902.0027.ec.fits[104] 600.0 1.000 0. 0.009 130902.0027.ec.fits[105] 600.0 1.000 0. 0.009 130902.0027.ec.fits[106] 600.0 1.000 0. 0.009 130902.0027.ec.fits[107] 600.0 1.000 0. 0.009 130902.0027.ec.fits[108] 600.0 1.000 0. 0.009 130902.0027.ec.fits[109] 600.0 1.000 0. 0.009 130902.0027.ec.fits[110] 600.0 1.000 0. 0.009 130902.0027.ec.fits[111] 600.0 1.000 0. 0.009 130902.0027.ec.fits[112] 600.0 1.000 0. 0.009 130902.0027.ec.fits[113] 600.0 1.000 0. 0.009 130902.0027.ec.fits[114] 600.0 1.000 0. 0.009 130902.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum130902.0027.ec.fits, ncombine = 115, exptime = 68999.98 w1 = 3359.721, w2 = 10812.23, dw = 0.04378778, nw = 170197., dtype = 0 Dec 9 17:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 19] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 20] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 21] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 22] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 23] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 24] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 25] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 26] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 27] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 28] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 29] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 30] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 31] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 32] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 33] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 34] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 35] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 36] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 37] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 38] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 39] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 40] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 41] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 42] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 43] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 44] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 45] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 46] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 47] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 48] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 49] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 50] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 51] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 52] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 53] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 54] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 55] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 56] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 57] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 58] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 59] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 60] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 61] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 62] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 63] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 64] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 65] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 66] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 67] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 68] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 69] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 70] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 71] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 72] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 73] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 74] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 75] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 76] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 77] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 78] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 79] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 80] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 81] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 82] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 83] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 84] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 85] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 86] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 87] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 88] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 89] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 90] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 91] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 92] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 93] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 94] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 95] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 96] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 97] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 98] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[ 99] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[100] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[101] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[102] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[103] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[104] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[105] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[106] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[107] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[108] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[109] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[110] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[111] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[112] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[113] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[114] 1500.0 1.000 0. 0.009 130902.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum130902.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.73, w2 = 10812.21, dw = 0.04379538, nw = 170167., dtype = 0 Dec 9 17:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[100] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[101] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[102] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[103] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[104] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[105] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[106] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[107] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[108] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[109] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[110] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[111] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[112] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[113] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[114] 1500.0 1.000 0. 0.009 130902.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum130902.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.71, w2 = 10812.2, dw = 0.043799, nw = 170153., dtype = 0 Dec 9 17:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0032.ec.fits[ 1] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 2] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 3] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 4] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 5] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 6] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 7] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 8] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 9] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 10] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 11] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 12] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 13] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 14] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 15] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 16] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 17] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 18] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 19] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 20] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 21] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 22] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 23] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 24] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 25] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 26] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 27] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 28] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 29] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 30] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 31] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 32] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 33] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 34] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 35] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 36] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 37] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 38] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 39] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 40] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 41] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 42] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 43] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 44] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 45] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 46] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 47] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 48] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 49] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 50] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 51] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 52] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 53] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 54] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 55] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 56] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 57] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 58] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 59] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 60] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 61] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 62] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 63] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 64] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 65] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 66] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 67] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 68] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 69] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 70] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 71] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 72] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 73] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 74] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 75] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 76] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 77] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 78] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 79] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 80] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 81] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 82] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 83] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 84] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 85] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 86] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 87] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 88] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 89] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 90] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 91] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 92] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 93] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 94] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 95] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 96] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 97] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 98] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[ 99] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[100] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[101] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[102] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[103] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[104] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[105] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[106] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[107] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[108] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[109] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[110] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[111] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[112] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[113] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[114] 1500.0 1.000 0. 0.009 130902.0032.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum130902.0032.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.666, w2 = 10812.18, dw = 0.04380713, nw = 170122., dtype = 0 Dec 9 17:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0041.ec.fits[ 1] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 2] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 3] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 4] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 5] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 6] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 7] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 8] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 9] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 10] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 11] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 12] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 13] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 14] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 15] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 16] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 17] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 18] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 19] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 20] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 21] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 22] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 23] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 24] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 25] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 26] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 27] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 28] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 29] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 30] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 31] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 32] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 33] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 34] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 35] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 36] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 37] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 38] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 39] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 40] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 41] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 42] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 43] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 44] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 45] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 46] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 47] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 48] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 49] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 50] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 51] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 52] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 53] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 54] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 55] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 56] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 57] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 58] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 59] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 60] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 61] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 62] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 63] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 64] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 65] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 66] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 67] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 68] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 69] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 70] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 71] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 72] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 73] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 74] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 75] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 76] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 77] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 78] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 79] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 80] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 81] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 82] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 83] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 84] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 85] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 86] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 87] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 88] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 89] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 90] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 91] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 92] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 93] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 94] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 95] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 96] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 97] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 98] 720.0 1.000 0. 0.009 130902.0041.ec.fits[ 99] 720.0 1.000 0. 0.009 130902.0041.ec.fits[100] 720.0 1.000 0. 0.009 130902.0041.ec.fits[101] 720.0 1.000 0. 0.009 130902.0041.ec.fits[102] 720.0 1.000 0. 0.009 130902.0041.ec.fits[103] 720.0 1.000 0. 0.009 130902.0041.ec.fits[104] 720.0 1.000 0. 0.009 130902.0041.ec.fits[105] 720.0 1.000 0. 0.009 130902.0041.ec.fits[106] 720.0 1.000 0. 0.009 130902.0041.ec.fits[107] 720.0 1.000 0. 0.009 130902.0041.ec.fits[108] 720.0 1.000 0. 0.009 130902.0041.ec.fits[109] 720.0 1.000 0. 0.009 130902.0041.ec.fits[110] 720.0 1.000 0. 0.009 130902.0041.ec.fits[111] 720.0 1.000 0. 0.009 130902.0041.ec.fits[112] 720.0 1.000 0. 0.009 130902.0041.ec.fits[113] 720.0 1.000 0. 0.009 130902.0041.ec.fits[114] 720.0 1.000 0. 0.009 130902.0041.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130902.0041.ec.fits, ncombine = 115, exptime = 82800. w1 = 3359.645, w2 = 10812.17, dw = 0.04379716, nw = 170161., dtype = 0 Dec 9 17:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0042.ec.fits[ 1] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 2] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 3] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 4] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 5] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 6] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 7] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 8] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 9] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 10] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 11] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 12] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 13] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 14] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 15] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 16] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 17] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 18] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 19] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 20] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 21] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 22] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 23] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 24] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 25] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 26] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 27] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 28] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 29] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 30] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 31] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 32] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 33] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 34] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 35] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 36] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 37] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 38] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 39] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 40] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 41] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 42] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 43] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 44] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 45] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 46] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 47] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 48] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 49] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 50] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 51] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 52] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 53] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 54] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 55] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 56] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 57] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 58] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 59] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 60] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 61] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 62] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 63] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 64] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 65] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 66] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 67] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 68] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 69] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 70] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 71] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 72] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 73] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 74] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 75] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 76] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 77] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 78] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 79] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 80] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 81] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 82] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 83] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 84] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 85] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 86] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 87] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 88] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 89] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 90] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 91] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 92] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 93] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 94] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 95] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 96] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 97] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 98] 720.0 1.000 0. 0.009 130902.0042.ec.fits[ 99] 720.0 1.000 0. 0.009 130902.0042.ec.fits[100] 720.0 1.000 0. 0.009 130902.0042.ec.fits[101] 720.0 1.000 0. 0.009 130902.0042.ec.fits[102] 720.0 1.000 0. 0.009 130902.0042.ec.fits[103] 720.0 1.000 0. 0.009 130902.0042.ec.fits[104] 720.0 1.000 0. 0.009 130902.0042.ec.fits[105] 720.0 1.000 0. 0.009 130902.0042.ec.fits[106] 720.0 1.000 0. 0.009 130902.0042.ec.fits[107] 720.0 1.000 0. 0.009 130902.0042.ec.fits[108] 720.0 1.000 0. 0.009 130902.0042.ec.fits[109] 720.0 1.000 0. 0.009 130902.0042.ec.fits[110] 720.0 1.000 0. 0.009 130902.0042.ec.fits[111] 720.0 1.000 0. 0.009 130902.0042.ec.fits[112] 720.0 1.000 0. 0.009 130902.0042.ec.fits[113] 720.0 1.000 0. 0.009 130902.0042.ec.fits[114] 720.0 1.000 0. 0.009 130902.0042.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130902.0042.ec.fits, ncombine = 115, exptime = 82800.07 w1 = 3359.683, w2 = 10812.18, dw = 0.04377795, nw = 170235., dtype = 0 Dec 9 17:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0043.ec.fits[ 1] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 2] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 3] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 4] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 5] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 6] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 7] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 8] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 9] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 10] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 11] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 12] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 13] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 14] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 15] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 16] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 17] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 18] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 19] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 20] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 21] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 22] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 23] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 24] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 25] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 26] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 27] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 28] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 29] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 30] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 31] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 32] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 33] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 34] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 35] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 36] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 37] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 38] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 39] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 40] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 41] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 42] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 43] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 44] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 45] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 46] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 47] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 48] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 49] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 50] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 51] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 52] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 53] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 54] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 55] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 56] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 57] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 58] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 59] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 60] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 61] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 62] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 63] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 64] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 65] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 66] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 67] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 68] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 69] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 70] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 71] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 72] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 73] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 74] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 75] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 76] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 77] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 78] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 79] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 80] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 81] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 82] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 83] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 84] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 85] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 86] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 87] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 88] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 89] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 90] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 91] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 92] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 93] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 94] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 95] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 96] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 97] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 98] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[ 99] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[100] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[101] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[102] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[103] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[104] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[105] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[106] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[107] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[108] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[109] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[110] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[111] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[112] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[113] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[114] 1800.0 1.000 0. 0.009 130902.0043.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum130902.0043.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.746, w2 = 10812.19, dw = 0.04374656, nw = 170356., dtype = 0 Dec 9 17:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0045.ec.fits[ 1] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 2] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 3] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 4] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 5] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 6] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 7] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 8] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 9] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 10] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 11] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 12] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 13] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 14] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 15] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 16] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 17] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 18] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 19] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 20] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 21] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 22] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 23] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 24] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 25] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 26] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 27] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 28] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 29] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 30] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 31] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 32] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 33] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 34] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 35] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 36] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 37] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 38] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 39] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 40] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 41] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 42] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 43] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 44] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 45] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 46] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 47] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 48] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 49] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 50] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 51] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 52] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 53] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 54] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 55] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 56] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 57] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 58] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 59] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 60] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 61] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 62] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 63] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 64] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 65] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 66] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 67] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 68] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 69] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 70] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 71] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 72] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 73] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 74] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 75] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 76] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 77] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 78] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 79] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 80] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 81] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 82] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 83] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 84] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 85] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 86] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 87] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 88] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 89] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 90] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 91] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 92] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 93] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 94] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 95] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 96] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 97] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 98] 720.0 1.000 0. 0.009 130902.0045.ec.fits[ 99] 720.0 1.000 0. 0.009 130902.0045.ec.fits[100] 720.0 1.000 0. 0.009 130902.0045.ec.fits[101] 720.0 1.000 0. 0.009 130902.0045.ec.fits[102] 720.0 1.000 0. 0.009 130902.0045.ec.fits[103] 720.0 1.000 0. 0.009 130902.0045.ec.fits[104] 720.0 1.000 0. 0.009 130902.0045.ec.fits[105] 720.0 1.000 0. 0.009 130902.0045.ec.fits[106] 720.0 1.000 0. 0.009 130902.0045.ec.fits[107] 720.0 1.000 0. 0.009 130902.0045.ec.fits[108] 720.0 1.000 0. 0.009 130902.0045.ec.fits[109] 720.0 1.000 0. 0.009 130902.0045.ec.fits[110] 720.0 1.000 0. 0.009 130902.0045.ec.fits[111] 720.0 1.000 0. 0.009 130902.0045.ec.fits[112] 720.0 1.000 0. 0.009 130902.0045.ec.fits[113] 720.0 1.000 0. 0.009 130902.0045.ec.fits[114] 720.0 1.000 0. 0.009 130902.0045.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130902.0045.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.799, w2 = 10812.19, dw = 0.04373497, nw = 170400., dtype = 0 Dec 9 17:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0046.ec.fits[ 1] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 2] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 3] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 4] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 5] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 6] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 7] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 8] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 9] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 10] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 11] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 12] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 13] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 14] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 15] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 16] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 17] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 18] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 19] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 20] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 21] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 22] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 23] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 24] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 25] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 26] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 27] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 28] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 29] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 30] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 31] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 32] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 33] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 34] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 35] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 36] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 37] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 38] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 39] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 40] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 41] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 42] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 43] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 44] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 45] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 46] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 47] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 48] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 49] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 50] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 51] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 52] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 53] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 54] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 55] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 56] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 57] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 58] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 59] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 60] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 61] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 62] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 63] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 64] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 65] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 66] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 67] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 68] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 69] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 70] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 71] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 72] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 73] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 74] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 75] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 76] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 77] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 78] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 79] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 80] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 81] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 82] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 83] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 84] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 85] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 86] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 87] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 88] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 89] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 90] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 91] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 92] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 93] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 94] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 95] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 96] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 97] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 98] 720.0 1.000 0. 0.009 130902.0046.ec.fits[ 99] 720.0 1.000 0. 0.009 130902.0046.ec.fits[100] 720.0 1.000 0. 0.009 130902.0046.ec.fits[101] 720.0 1.000 0. 0.009 130902.0046.ec.fits[102] 720.0 1.000 0. 0.009 130902.0046.ec.fits[103] 720.0 1.000 0. 0.009 130902.0046.ec.fits[104] 720.0 1.000 0. 0.009 130902.0046.ec.fits[105] 720.0 1.000 0. 0.009 130902.0046.ec.fits[106] 720.0 1.000 0. 0.009 130902.0046.ec.fits[107] 720.0 1.000 0. 0.009 130902.0046.ec.fits[108] 720.0 1.000 0. 0.009 130902.0046.ec.fits[109] 720.0 1.000 0. 0.009 130902.0046.ec.fits[110] 720.0 1.000 0. 0.009 130902.0046.ec.fits[111] 720.0 1.000 0. 0.009 130902.0046.ec.fits[112] 720.0 1.000 0. 0.009 130902.0046.ec.fits[113] 720.0 1.000 0. 0.009 130902.0046.ec.fits[114] 720.0 1.000 0. 0.009 130902.0046.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130902.0046.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.809, w2 = 10812.18, dw = 0.04375409, nw = 170325., dtype = 0 Dec 9 17:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0048.ec.fits[ 1] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 2] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 3] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 4] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 5] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 6] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 7] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 8] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 9] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 10] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 11] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 12] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 13] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 14] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 15] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 16] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 17] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 18] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 19] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 20] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 21] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 22] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 23] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 24] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 25] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 26] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 27] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 28] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 29] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 30] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 31] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 32] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 33] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 34] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 35] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 36] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 37] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 38] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 39] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 40] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 41] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 42] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 43] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 44] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 45] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 46] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 47] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 48] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 49] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 50] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 51] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 52] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 53] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 54] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 55] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 56] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 57] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 58] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 59] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 60] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 61] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 62] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 63] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 64] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 65] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 66] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 67] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 68] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 69] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 70] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 71] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 72] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 73] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 74] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 75] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 76] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 77] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 78] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 79] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 80] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 81] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 82] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 83] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 84] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 85] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 86] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 87] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 88] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 89] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 90] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 91] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 92] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 93] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 94] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 95] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 96] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 97] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 98] 900.0 1.000 0. 0.009 130902.0048.ec.fits[ 99] 900.0 1.000 0. 0.009 130902.0048.ec.fits[100] 900.0 1.000 0. 0.009 130902.0048.ec.fits[101] 900.0 1.000 0. 0.009 130902.0048.ec.fits[102] 900.0 1.000 0. 0.009 130902.0048.ec.fits[103] 900.0 1.000 0. 0.009 130902.0048.ec.fits[104] 900.0 1.000 0. 0.009 130902.0048.ec.fits[105] 900.0 1.000 0. 0.009 130902.0048.ec.fits[106] 900.0 1.000 0. 0.009 130902.0048.ec.fits[107] 900.0 1.000 0. 0.009 130902.0048.ec.fits[108] 900.0 1.000 0. 0.009 130902.0048.ec.fits[109] 900.0 1.000 0. 0.009 130902.0048.ec.fits[110] 900.0 1.000 0. 0.009 130902.0048.ec.fits[111] 900.0 1.000 0. 0.009 130902.0048.ec.fits[112] 900.0 1.000 0. 0.009 130902.0048.ec.fits[113] 900.0 1.000 0. 0.009 130902.0048.ec.fits[114] 900.0 1.000 0. 0.009 130902.0048.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130902.0048.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.82, w2 = 10812.16, dw = 0.04377629, nw = 170238., dtype = 0 Dec 9 17:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0050.ec.fits[ 1] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 2] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 3] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 4] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 5] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 6] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 7] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 8] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 9] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 10] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 11] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 12] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 13] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 14] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 15] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 16] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 17] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 18] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 19] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 20] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 21] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 22] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 23] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 24] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 25] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 26] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 27] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 28] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 29] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 30] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 31] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 32] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 33] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 34] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 35] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 36] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 37] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 38] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 39] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 40] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 41] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 42] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 43] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 44] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 45] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 46] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 47] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 48] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 49] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 50] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 51] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 52] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 53] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 54] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 55] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 56] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 57] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 58] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 59] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 60] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 61] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 62] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 63] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 64] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 65] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 66] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 67] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 68] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 69] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 70] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 71] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 72] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 73] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 74] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 75] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 76] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 77] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 78] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 79] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 80] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 81] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 82] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 83] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 84] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 85] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 86] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 87] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 88] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 89] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 90] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 91] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 92] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 93] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 94] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 95] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 96] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 97] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 98] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[ 99] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[100] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[101] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[102] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[103] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[104] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[105] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[106] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[107] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[108] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[109] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[110] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[111] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[112] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[113] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[114] 1020.0 1.000 0. 0.009 130902.0050.ec.fits[115] 1020.0 1.000 0. 0.009 Output image = sum130902.0050.ec.fits, ncombine = 115, exptime = 117300. w1 = 3359.804, w2 = 10812.15, dw = 0.04381774, nw = 170077., dtype = 0 Dec 9 17:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0051.ec.fits[ 1] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 2] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 3] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 4] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 5] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 6] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 7] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 8] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 9] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 10] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 11] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 12] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 13] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 14] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 15] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 16] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 17] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 18] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 19] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 20] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 21] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 22] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 23] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 24] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 25] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 26] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 27] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 28] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 29] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 30] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 31] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 32] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 33] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 34] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 35] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 36] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 37] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 38] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 39] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 40] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 41] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 42] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 43] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 44] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 45] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 46] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 47] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 48] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 49] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 50] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 51] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 52] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 53] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 54] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 55] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 56] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 57] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 58] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 59] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 60] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 61] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 62] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 63] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 64] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 65] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 66] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 67] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 68] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 69] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 70] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 71] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 72] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 73] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 74] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 75] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 76] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 77] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 78] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 79] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 80] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 81] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 82] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 83] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 84] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 85] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 86] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 87] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 88] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 89] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 90] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 91] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 92] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 93] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 94] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 95] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 96] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 97] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 98] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[ 99] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[100] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[101] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[102] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[103] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[104] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[105] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[106] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[107] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[108] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[109] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[110] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[111] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[112] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[113] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[114] 1020.0 1.000 0. 0.009 130902.0051.ec.fits[115] 1020.0 1.000 0. 0.009 Output image = sum130902.0051.ec.fits, ncombine = 115, exptime = 117300. w1 = 3359.767, w2 = 10812.14, dw = 0.04386228, nw = 169905., dtype = 0 Dec 9 17:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0052.ec.fits[ 1] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 2] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 3] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 4] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 5] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 6] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 7] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 8] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 9] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 10] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 11] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 12] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 13] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 14] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 15] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 16] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 17] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 18] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 19] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 20] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 21] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 22] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 23] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 24] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 25] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 26] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 27] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 28] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 29] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 30] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 31] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 32] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 33] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 34] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 35] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 36] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 37] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 38] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 39] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 40] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 41] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 42] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 43] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 44] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 45] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 46] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 47] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 48] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 49] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 50] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 51] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 52] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 53] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 54] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 55] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 56] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 57] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 58] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 59] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 60] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 61] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 62] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 63] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 64] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 65] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 66] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 67] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 68] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 69] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 70] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 71] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 72] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 73] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 74] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 75] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 76] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 77] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 78] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 79] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 80] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 81] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 82] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 83] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 84] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 85] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 86] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 87] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 88] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 89] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 90] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 91] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 92] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 93] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 94] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 95] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 96] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 97] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 98] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[ 99] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[100] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[101] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[102] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[103] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[104] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[105] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[106] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[107] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[108] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[109] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[110] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[111] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[112] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[113] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[114] 1200.0 1.000 0. 0.009 130902.0052.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum130902.0052.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.728, w2 = 10812.14, dw = 0.04390952, nw = 169723., dtype = 0 Dec 9 17:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0054.ec.fits[ 1] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 2] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 3] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 4] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 5] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 6] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 7] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 8] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 9] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 10] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 11] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 12] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 13] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 14] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 15] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 16] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 17] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 18] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 19] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 20] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 21] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 22] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 23] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 24] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 25] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 26] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 27] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 28] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 29] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 30] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 31] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 32] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 33] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 34] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 35] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 36] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 37] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 38] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 39] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 40] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 41] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 42] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 43] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 44] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 45] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 46] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 47] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 48] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 49] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 50] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 51] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 52] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 53] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 54] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 55] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 56] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 57] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 58] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 59] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 60] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 61] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 62] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 63] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 64] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 65] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 66] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 67] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 68] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 69] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 70] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 71] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 72] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 73] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 74] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 75] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 76] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 77] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 78] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 79] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 80] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 81] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 82] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 83] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 84] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 85] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 86] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 87] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 88] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 89] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 90] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 91] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 92] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 93] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 94] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 95] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 96] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 97] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 98] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[ 99] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[100] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[101] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[102] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[103] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[104] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[105] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[106] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[107] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[108] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[109] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[110] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[111] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[112] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[113] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[114] 1320.0 1.000 0. 0.009 130902.0054.ec.fits[115] 1320.0 1.000 0. 0.009 Output image = sum130902.0054.ec.fits, ncombine = 115, exptime = 151800. w1 = 3359.72, w2 = 10812.14, dw = 0.04396161, nw = 169522., dtype = 0 Dec 9 17:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130902.0056.ec.fits[ 1] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 2] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 3] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 4] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 5] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 6] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 7] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 8] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 9] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 10] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 11] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 12] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 13] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 14] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 15] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 16] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 17] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 18] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 19] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 20] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 21] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 22] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 23] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 24] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 25] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 26] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 27] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 28] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 29] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 30] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 31] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 32] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 33] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 34] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 35] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 36] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 37] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 38] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 39] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 40] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 41] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 42] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 43] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 44] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 45] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 46] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 47] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 48] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 49] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 50] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 51] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 52] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 53] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 54] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 55] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 56] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 57] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 58] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 59] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 60] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 61] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 62] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 63] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 64] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 65] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 66] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 67] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 68] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 69] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 70] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 71] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 72] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 73] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 74] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 75] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 76] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 77] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 78] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 79] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 80] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 81] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 82] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 83] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 84] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 85] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 86] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 87] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 88] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 89] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 90] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 91] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 92] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 93] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 94] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 95] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 96] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 97] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 98] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[ 99] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[100] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[101] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[102] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[103] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[104] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[105] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[106] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[107] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[108] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[109] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[110] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[111] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[112] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[113] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[114] 1320.0 1.000 0. 0.009 130902.0056.ec.fits[115] 1320.0 1.000 0. 0.009 Output image = sum130902.0056.ec.fits, ncombine = 115, exptime = 151800. w1 = 3359.736, w2 = 10812.14, dw = 0.04398514, nw = 169431., dtype = 0 Dec 9 17:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0020.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont130902.0020.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont130902.0020.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.801, w2 = 10812.27, dw = 0.04383081, nw = 170029., dtype = 0 Dec 9 17:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont130902.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont130902.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.744, w2 = 10812.28, dw = 0.04381344, nw = 170098., dtype = 0 Dec 9 17:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont130902.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont130902.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.644, w2 = 10812.25, dw = 0.04377348, nw = 170255., dtype = 0 Dec 9 17:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130902.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130902.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.623, w2 = 10812.24, dw = 0.04376117, nw = 170303., dtype = 0 Dec 9 17:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont130902.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont130902.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.676, w2 = 10812.23, dw = 0.04377547, nw = 170246., dtype = 0 Dec 9 17:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[100] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[101] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[102] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[103] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[104] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[105] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[106] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[107] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[108] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[109] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[110] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[111] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[112] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[113] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[114] 600.0 1.000 0. 0.009 fitcont130902.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont130902.0027.ec.fits, ncombine = 115, exptime = 68999.98 w1 = 3359.721, w2 = 10812.23, dw = 0.04378778, nw = 170197., dtype = 0 Dec 9 17:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont130902.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont130902.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.73, w2 = 10812.21, dw = 0.04379538, nw = 170167., dtype = 0 Dec 9 17:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont130902.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont130902.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.71, w2 = 10812.2, dw = 0.043799, nw = 170153., dtype = 0 Dec 9 17:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0032.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont130902.0032.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont130902.0032.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.666, w2 = 10812.18, dw = 0.04380713, nw = 170122., dtype = 0 Dec 9 17:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0041.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130902.0041.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130902.0041.ec.fits, ncombine = 115, exptime = 82800. w1 = 3359.645, w2 = 10812.17, dw = 0.04379716, nw = 170161., dtype = 0 Dec 9 17:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0042.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130902.0042.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130902.0042.ec.fits, ncombine = 115, exptime = 82800.07 w1 = 3359.683, w2 = 10812.18, dw = 0.04377795, nw = 170235., dtype = 0 Dec 9 17:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0043.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont130902.0043.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont130902.0043.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.746, w2 = 10812.19, dw = 0.04374656, nw = 170356., dtype = 0 Dec 9 17:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0045.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130902.0045.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130902.0045.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.799, w2 = 10812.19, dw = 0.04373497, nw = 170400., dtype = 0 Dec 9 17:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0046.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130902.0046.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130902.0046.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.809, w2 = 10812.18, dw = 0.04375409, nw = 170325., dtype = 0 Dec 9 17:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0048.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130902.0048.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130902.0048.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.82, w2 = 10812.16, dw = 0.04377629, nw = 170238., dtype = 0 Dec 9 17:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0050.ec.fits[ 1] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 2] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 3] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 4] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 5] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 6] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 7] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 8] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 9] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 10] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 11] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 12] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 13] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 14] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 15] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 16] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 17] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 18] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 19] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 20] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 21] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 22] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 23] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 24] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 25] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 26] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 27] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 28] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 29] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 30] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 31] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 32] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 33] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 34] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 35] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 36] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 37] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 38] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 39] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 40] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 41] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 42] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 43] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 44] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 45] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 46] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 47] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 48] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 49] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 50] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 51] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 52] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 53] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 54] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 55] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 56] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 57] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 58] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 59] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 60] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 61] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 62] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 63] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 64] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 65] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 66] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 67] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 68] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 69] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 70] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 71] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 72] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 73] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 74] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 75] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 76] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 77] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 78] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 79] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 80] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 81] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 82] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 83] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 84] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 85] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 86] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 87] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 88] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 89] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 90] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 91] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 92] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 93] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 94] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 95] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 96] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 97] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 98] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[ 99] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[100] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[101] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[102] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[103] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[104] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[105] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[106] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[107] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[108] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[109] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[110] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[111] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[112] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[113] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[114] 1020.0 1.000 0. 0.009 fitcont130902.0050.ec.fits[115] 1020.0 1.000 0. 0.009 Output image = sumfitcont130902.0050.ec.fits, ncombine = 115, exptime = 117300. w1 = 3359.804, w2 = 10812.15, dw = 0.04381774, nw = 170077., dtype = 0 Dec 9 17:41: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0051.ec.fits[ 1] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 2] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 3] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 4] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 5] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 6] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 7] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 8] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 9] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 10] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 11] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 12] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 13] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 14] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 15] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 16] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 17] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 18] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 19] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 20] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 21] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 22] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 23] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 24] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 25] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 26] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 27] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 28] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 29] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 30] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 31] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 32] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 33] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 34] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 35] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 36] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 37] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 38] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 39] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 40] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 41] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 42] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 43] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 44] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 45] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 46] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 47] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 48] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 49] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 50] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 51] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 52] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 53] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 54] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 55] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 56] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 57] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 58] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 59] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 60] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 61] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 62] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 63] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 64] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 65] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 66] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 67] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 68] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 69] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 70] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 71] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 72] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 73] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 74] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 75] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 76] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 77] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 78] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 79] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 80] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 81] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 82] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 83] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 84] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 85] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 86] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 87] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 88] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 89] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 90] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 91] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 92] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 93] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 94] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 95] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 96] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 97] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 98] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[ 99] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[100] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[101] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[102] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[103] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[104] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[105] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[106] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[107] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[108] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[109] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[110] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[111] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[112] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[113] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[114] 1020.0 1.000 0. 0.009 fitcont130902.0051.ec.fits[115] 1020.0 1.000 0. 0.009 Output image = sumfitcont130902.0051.ec.fits, ncombine = 115, exptime = 117300. w1 = 3359.767, w2 = 10812.14, dw = 0.04386228, nw = 169905., dtype = 0 Dec 9 17:41: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0052.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont130902.0052.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont130902.0052.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.728, w2 = 10812.14, dw = 0.04390952, nw = 169723., dtype = 0 Dec 9 17:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0054.ec.fits[ 1] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 2] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 3] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 4] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 5] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 6] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 7] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 8] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 9] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 10] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 11] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 12] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 13] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 14] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 15] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 16] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 17] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 18] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 19] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 20] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 21] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 22] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 23] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 24] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 25] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 26] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 27] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 28] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 29] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 30] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 31] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 32] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 33] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 34] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 35] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 36] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 37] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 38] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 39] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 40] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 41] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 42] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 43] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 44] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 45] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 46] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 47] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 48] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 49] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 50] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 51] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 52] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 53] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 54] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 55] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 56] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 57] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 58] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 59] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 60] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 61] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 62] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 63] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 64] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 65] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 66] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 67] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 68] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 69] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 70] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 71] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 72] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 73] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 74] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 75] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 76] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 77] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 78] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 79] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 80] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 81] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 82] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 83] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 84] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 85] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 86] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 87] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 88] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 89] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 90] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 91] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 92] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 93] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 94] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 95] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 96] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 97] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 98] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[ 99] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[100] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[101] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[102] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[103] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[104] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[105] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[106] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[107] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[108] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[109] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[110] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[111] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[112] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[113] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[114] 1320.0 1.000 0. 0.009 fitcont130902.0054.ec.fits[115] 1320.0 1.000 0. 0.009 Output image = sumfitcont130902.0054.ec.fits, ncombine = 115, exptime = 151800. w1 = 3359.72, w2 = 10812.14, dw = 0.04396161, nw = 169522., dtype = 0 Dec 9 17:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130902.0056.ec.fits[ 1] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 2] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 3] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 4] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 5] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 6] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 7] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 8] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 9] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 10] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 11] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 12] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 13] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 14] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 15] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 16] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 17] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 18] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 19] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 20] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 21] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 22] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 23] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 24] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 25] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 26] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 27] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 28] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 29] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 30] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 31] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 32] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 33] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 34] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 35] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 36] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 37] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 38] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 39] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 40] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 41] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 42] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 43] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 44] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 45] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 46] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 47] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 48] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 49] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 50] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 51] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 52] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 53] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 54] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 55] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 56] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 57] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 58] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 59] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 60] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 61] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 62] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 63] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 64] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 65] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 66] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 67] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 68] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 69] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 70] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 71] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 72] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 73] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 74] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 75] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 76] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 77] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 78] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 79] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 80] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 81] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 82] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 83] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 84] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 85] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 86] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 87] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 88] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 89] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 90] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 91] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 92] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 93] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 94] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 95] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 96] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 97] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 98] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[ 99] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[100] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[101] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[102] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[103] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[104] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[105] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[106] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[107] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[108] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[109] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[110] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[111] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[112] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[113] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[114] 1320.0 1.000 0. 0.009 fitcont130902.0056.ec.fits[115] 1320.0 1.000 0. 0.009 Output image = sumfitcont130902.0056.ec.fits, ncombine = 115, exptime = 151800. w1 = 3359.736, w2 = 10812.14, dw = 0.04398514, nw = 169431., dtype = 0 207000. fullspec130902.0020.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec130902.0020.ec.fits updated 172500. fullspec130902.0022.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec130902.0022.ec.fits updated 138000. fullspec130902.0023.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec130902.0023.ec.fits updated 103500. fullspec130902.0025.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130902.0025.ec.fits updated 138000. fullspec130902.0026.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec130902.0026.ec.fits updated 68999.98 fullspec130902.0027.ec.fits,EXPTIME: 68999.98 -> 599.999826087 fullspec130902.0027.ec.fits updated 172500. fullspec130902.0029.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec130902.0029.ec.fits updated 172500. fullspec130902.0030.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec130902.0030.ec.fits updated 172500. fullspec130902.0032.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec130902.0032.ec.fits updated 82800. fullspec130902.0041.ec.fits,EXPTIME: 82800. -> 720.0 fullspec130902.0041.ec.fits updated 82800.07 fullspec130902.0042.ec.fits,EXPTIME: 82800.07 -> 720.000608696 fullspec130902.0042.ec.fits updated 207000. fullspec130902.0043.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec130902.0043.ec.fits updated 82800.01 fullspec130902.0045.ec.fits,EXPTIME: 82800.01 -> 720.000086957 fullspec130902.0045.ec.fits updated 82800.01 fullspec130902.0046.ec.fits,EXPTIME: 82800.01 -> 720.000086957 fullspec130902.0046.ec.fits updated 103500. fullspec130902.0048.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130902.0048.ec.fits updated 117300. fullspec130902.0050.ec.fits,EXPTIME: 117300. -> 1020.0 fullspec130902.0050.ec.fits updated 117300. fullspec130902.0051.ec.fits,EXPTIME: 117300. -> 1020.0 fullspec130902.0051.ec.fits updated 138000. fullspec130902.0052.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec130902.0052.ec.fits updated 151800. fullspec130902.0054.ec.fits,EXPTIME: 151800. -> 1320.0 fullspec130902.0054.ec.fits updated 151800. fullspec130902.0056.ec.fits,EXPTIME: 151800. -> 1320.0 fullspec130902.0056.ec.fits updated ALL DONE! Yay! (=^.^=)