Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 130928.0023.fits,dispaxis = 1 130928.0023.fits updated add 130928.0024.fits,dispaxis = 1 130928.0024.fits updated add 130928.0025.fits,dispaxis = 1 130928.0025.fits updated add 130928.0027.fits,dispaxis = 1 130928.0027.fits updated add 130928.0028.fits,dispaxis = 1 130928.0028.fits updated add 130928.0029.fits,dispaxis = 1 130928.0029.fits updated add 130928.0030.fits,dispaxis = 1 130928.0030.fits updated add 130928.0031.fits,dispaxis = 1 130928.0031.fits updated add 130928.0033.fits,dispaxis = 1 130928.0033.fits updated add 130928.0034.fits,dispaxis = 1 130928.0034.fits updated add 130928.0035.fits,dispaxis = 1 130928.0035.fits updated add 130928.0036.fits,dispaxis = 1 130928.0036.fits updated add 130928.0037.fits,dispaxis = 1 130928.0037.fits updated add 130928.0039.fits,dispaxis = 1 130928.0039.fits updated add 130928.0040.fits,dispaxis = 1 130928.0040.fits updated add 130928.0041.fits,dispaxis = 1 130928.0041.fits updated add 130928.0042.fits,dispaxis = 1 130928.0042.fits updated add 130928.0043.fits,dispaxis = 1 130928.0043.fits updated add 130928.0045.fits,dispaxis = 1 130928.0045.fits updated add 130928.0046.fits,dispaxis = 1 130928.0046.fits updated add 130928.0047.fits,dispaxis = 1 130928.0047.fits updated add 130928.0048.fits,dispaxis = 1 130928.0048.fits updated add Bias.0001.fits,dispaxis = 1 Bias.0001.fits updated add Bias.0018.fits,dispaxis = 1 Bias.0018.fits updated add Bias.0019.fits,dispaxis = 1 Bias.0019.fits updated add Bias.0020.fits,dispaxis = 1 Bias.0020.fits updated add Bias.0021.fits,dispaxis = 1 Bias.0021.fits updated add Flat.0002.fits,dispaxis = 1 Flat.0002.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 FlatBlue.0010.fits,dispaxis = 1 FlatBlue.0010.fits updated add FlatBlue.0011.fits,dispaxis = 1 FlatBlue.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 ThAr.0022.fits,dispaxis = 1 ThAr.0022.fits updated add ThAr.0026.fits,dispaxis = 1 ThAr.0026.fits updated add ThAr.0032.fits,dispaxis = 1 ThAr.0032.fits updated add ThAr.0038.fits,dispaxis = 1 ThAr.0038.fits updated add ThAr.0044.fits,dispaxis = 1 ThAr.0044.fits updated add ThAr.0049.fits,dispaxis = 1 ThAr.0049.fits updated FIXPIX: image Flat.0002.fits with mask echmask.pl 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 FlatBlue.0010.fits with mask echmask.pl FIXPIX: image FlatBlue.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 130928.0023.fits with mask echmask.pl FIXPIX: image 130928.0024.fits with mask echmask.pl FIXPIX: image 130928.0025.fits with mask echmask.pl FIXPIX: image 130928.0027.fits with mask echmask.pl FIXPIX: image 130928.0028.fits with mask echmask.pl FIXPIX: image 130928.0029.fits with mask echmask.pl FIXPIX: image 130928.0030.fits with mask echmask.pl FIXPIX: image 130928.0031.fits with mask echmask.pl FIXPIX: image 130928.0033.fits with mask echmask.pl FIXPIX: image 130928.0034.fits with mask echmask.pl FIXPIX: image 130928.0035.fits with mask echmask.pl FIXPIX: image 130928.0036.fits with mask echmask.pl FIXPIX: image 130928.0037.fits with mask echmask.pl FIXPIX: image 130928.0039.fits with mask echmask.pl FIXPIX: image 130928.0040.fits with mask echmask.pl FIXPIX: image 130928.0041.fits with mask echmask.pl FIXPIX: image 130928.0042.fits with mask echmask.pl FIXPIX: image 130928.0043.fits with mask echmask.pl FIXPIX: image 130928.0045.fits with mask echmask.pl FIXPIX: image 130928.0046.fits with mask echmask.pl FIXPIX: image 130928.0047.fits with mask echmask.pl FIXPIX: image 130928.0048.fits with mask echmask.pl FIXPIX: image ThAr.0022.fits with mask echmask.pl FIXPIX: image ThAr.0026.fits with mask echmask.pl FIXPIX: image ThAr.0032.fits with mask echmask.pl FIXPIX: image ThAr.0038.fits with mask echmask.pl FIXPIX: image ThAr.0044.fits with mask echmask.pl FIXPIX: image ThAr.0049.fits with mask echmask.pl Dec 9 15:10: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp Bias.0001.fits 0.0 Bias.0018.fits 0.0 Bias.0019.fits 0.0 Bias.0020.fits 0.9 Bias.0021.fits 0.0 Output image = bias_fid, ncombine = 5 Calibrating object images and flats (bias, and trimming)... 130928.0023.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] bias_fid: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0023.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0024.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0024.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0025.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0025.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0027.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0027.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0028.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0028.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0029.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0029.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0030.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0030.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0031.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0031.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0033.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0033.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0034.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0034.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0035.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0035.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0036.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0036.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0037.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0037.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0039.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0039.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0040.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0040.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0041.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0041.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0042.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0042.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0043.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0043.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0045.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0045.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0046.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0046.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0047.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0047.fits: Dec 9 15:10 Zero level correction image is bias_fid 130928.0048.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 130928.0048.fits: Dec 9 15:10 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Flat.0002.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] Flat.0002.fits: Dec 9 15:10 Zero level correction image is bias_fid Flat.0003.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] Flat.0003.fits: Dec 9 15:10 Zero level correction image is bias_fid Flat.0004.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] Flat.0004.fits: Dec 9 15:10 Zero level correction image is bias_fid Flat.0005.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] Flat.0005.fits: Dec 9 15:10 Zero level correction image is bias_fid Flat.0006.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] Flat.0006.fits: Dec 9 15:10 Zero level correction image is bias_fid Flat.0007.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] Flat.0007.fits: Dec 9 15:10 Zero level correction image is bias_fid Flat.0008.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] Flat.0008.fits: Dec 9 15:10 Zero level correction image is bias_fid Flat.0009.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] Flat.0009.fits: Dec 9 15:10 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... FlatBlue.0010.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] FlatBlue.0010.fits: Dec 9 15:10 Zero level correction image is bias_fid FlatBlue.0011.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] FlatBlue.0011.fits: Dec 9 15:10 Zero level correction image is bias_fid FlatBlue.0012.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] FlatBlue.0012.fits: Dec 9 15:10 Zero level correction image is bias_fid FlatBlue.0013.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] FlatBlue.0013.fits: Dec 9 15:10 Zero level correction image is bias_fid FlatBlue.0014.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] FlatBlue.0014.fits: Dec 9 15:10 Zero level correction image is bias_fid FlatBlue.0015.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] FlatBlue.0015.fits: Dec 9 15:10 Zero level correction image is bias_fid FlatBlue.0016.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] FlatBlue.0016.fits: Dec 9 15:10 Zero level correction image is bias_fid FlatBlue.0017.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] FlatBlue.0017.fits: Dec 9 15:10 Zero level correction image is bias_fid Calibrating ThAr arcs... ThAr.0022.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] ThAr.0022.fits: Dec 9 15:10 Zero level correction image is bias_fid ThAr.0026.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] ThAr.0026.fits: Dec 9 15:10 Zero level correction image is bias_fid ThAr.0032.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] ThAr.0032.fits: Dec 9 15:10 Zero level correction image is bias_fid ThAr.0038.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] ThAr.0038.fits: Dec 9 15:10 Zero level correction image is bias_fid ThAr.0044.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] ThAr.0044.fits: Dec 9 15:10 Zero level correction image is bias_fid ThAr.0049.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] ThAr.0049.fits: Dec 9 15:10 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 9 15:13: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp FlatBlue.0010.fits 200.0 FlatBlue.0011.fits 200.0 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 Output image = flat_blue_mean.fits, ncombine = 8 Dec 9 15:14: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp Flat.0002.fits 7.0 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 Output image = flat_red_mean.fits, ncombine = 8 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 15:14: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 65. Dec 9 15:14: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 64. Dec 9 15:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1643. Dec 9 15:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1644. Dec 9 15:14: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1645. Dec 9 15:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 146. Dec 9 15:14: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 145. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1546. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1547. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1603. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1604. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1608. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1609. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1610. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1615. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1616. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1617. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 127. Dec 9 15:14: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 126. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1559. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1560. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1590. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1591. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1592. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1622. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1623. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1624. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 130. Dec 9 15:14: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 129. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1604. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1605. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1606. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 170. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 169. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 151. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 150. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 77. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 76. Dec 9 15:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 75. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1483. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1484. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1499. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1500. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1548. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1549. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1550. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1563. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1564. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1616. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1617. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1629. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1630. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1631. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1632. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1639. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1640. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1642. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1643. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 224. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 223. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 213. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 212. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 210. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 209. Dec 9 15:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 208. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1520. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1521. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1522. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1538. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1539. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1563. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1564. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1565. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1593. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1594. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1595. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1597. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1598. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1606. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1607. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1608. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1611. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1612. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1618. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1619. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1620. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1629. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1630. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1631. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1632. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1639. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1640. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1642. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1643. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 237. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 236. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 235. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 204. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 203. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 202. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 169. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 168. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 167. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 109. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 108. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 99. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 98. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 76. Dec 9 15:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 75. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1495. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1496. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1499. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1500. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1501. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1514. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1515. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1521. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1522. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1527. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1528. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1529. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 230. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 229. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 211. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 210. Dec 9 15:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 209. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1376. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1377. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1389. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1390. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1483. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1484. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1503. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1504. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1526. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1527. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1528. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1534. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1535. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1536. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1543. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1544. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1556. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1557. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1569. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1570. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1579. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1580. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1581. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 180. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 179. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 178. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 172. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 171. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 139. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 138. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 137. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 102. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 101. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 100. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 99. Dec 9 15:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 98. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1399. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1400. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1401. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 227. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 226. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 225. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 180. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 179. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 178. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 177. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 176. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 168. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 167. Dec 9 15:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 166. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1345. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1346. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1357. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1358. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1359. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 308. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 307. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 239. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 238. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 237. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 217. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 216. Dec 9 15:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 215. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1360. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1361. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1433. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1434. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1444. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1445. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1446. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1454. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1455. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1456. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 352. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 351. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 210. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 209. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 208. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 206. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 205. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 198. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 197. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 150. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 149. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 147. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 146. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 100. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 99. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 92. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 91. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 89. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 88. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 67. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 66. Dec 9 15:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 65. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1281. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1282. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1283. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1330. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1331. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1332. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1369. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1370. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1391. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1392. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1393. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1411. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1412. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1413. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1420. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1421. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1422. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 377. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 376. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 339. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 338. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 337. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 336. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 335. Dec 9 15:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 334. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1215. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1216. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1239. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1240. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1241. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1244. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1245. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1248. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1249. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1269. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1270. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1271. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 374. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 373. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 362. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 361. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 360. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 359. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 357. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 356. Dec 9 15:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 355. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1109. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1110. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1136. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1137. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1200. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1201. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1202. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1207. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1208. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1209. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1242. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1243. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1244. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1248. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1249. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1250. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1251. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1252. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 448. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 447. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 361. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 360. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 353. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 352. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 351. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 299. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 298. Dec 9 15:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 297. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 858. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 859. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 892. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 893. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 978. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 979. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 980. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 556. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 555. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 525. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 524. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 493. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 492. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 490. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 489. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 466. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 465. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 414. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 413. Dec 9 15:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 412. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 10.75 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... ThAr.0022.fits Magnify image ThAr.0022.fits to image ThAr.0022.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.0022.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0022.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0026.fits Magnify image ThAr.0026.fits to image ThAr.0026.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.0026.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0026.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0032.fits Magnify image ThAr.0032.fits to image ThAr.0032.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.0032.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0032.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0038.fits Magnify image ThAr.0038.fits to image ThAr.0038.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.0038.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0038.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 object by a factor of 4 in the y direction... 130928.0023 Magnify image 130928.0023 to image 130928.0023. 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 130928.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0023 -> noscat130928.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0024 Magnify image 130928.0024 to image 130928.0024. 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 130928.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0024 -> noscat130928.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0025 Magnify image 130928.0025 to image 130928.0025. 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 130928.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0025 -> noscat130928.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0027 Magnify image 130928.0027 to image 130928.0027. 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 130928.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0027 -> noscat130928.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0028 Magnify image 130928.0028 to image 130928.0028. 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 130928.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0028 -> noscat130928.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0029 Magnify image 130928.0029 to image 130928.0029. 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 130928.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0029 -> noscat130928.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0030 Magnify image 130928.0030 to image 130928.0030. 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 130928.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0030 -> noscat130928.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0031 Magnify image 130928.0031 to image 130928.0031. 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 130928.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0031 -> noscat130928.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0033 Magnify image 130928.0033 to image 130928.0033. 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 130928.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0033 -> noscat130928.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0034 Magnify image 130928.0034 to image 130928.0034. 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 130928.0034,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0034 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0034 -> noscat130928.0034 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0035 Magnify image 130928.0035 to image 130928.0035. 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 130928.0035,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0035 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0035 -> noscat130928.0035 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0036 Magnify image 130928.0036 to image 130928.0036. 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 130928.0036,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0036 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0036 -> noscat130928.0036 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0037 Magnify image 130928.0037 to image 130928.0037. 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 130928.0037,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0037 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0037 -> noscat130928.0037 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0039 Magnify image 130928.0039 to image 130928.0039. 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 130928.0039,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0039 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0039 -> noscat130928.0039 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0040 Magnify image 130928.0040 to image 130928.0040. 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 130928.0040,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0040 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0040 -> noscat130928.0040 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0041 Magnify image 130928.0041 to image 130928.0041. 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 130928.0041,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0041 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0041 -> noscat130928.0041 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0042 Magnify image 130928.0042 to image 130928.0042. 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 130928.0042,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0042 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0042 -> noscat130928.0042 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0043 Magnify image 130928.0043 to image 130928.0043. 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 130928.0043,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0043 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0043 -> noscat130928.0043 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0045 Magnify image 130928.0045 to image 130928.0045. 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 130928.0045,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0045 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0045 -> noscat130928.0045 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0046 Magnify image 130928.0046 to image 130928.0046. 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 130928.0046,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0046 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0046 -> noscat130928.0046 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0047 Magnify image 130928.0047 to image 130928.0047. 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 130928.0047,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0047 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0047 -> noscat130928.0047 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130928.0048 Magnify image 130928.0048 to image 130928.0048. 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 130928.0048,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130928.0048 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130928.0048 -> noscat130928.0048 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:53: EXTRACT: WARNING - Aperture 110: Dec 9 15:53: Total variance weighted spectrum flux is 8535.231 Dec 9 15:53: Total unweighted spectrum flux is 3769.474 Dec 9 15:53: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4416369 Dec 9 15:53: EXTRACT: WARNING - Aperture 111: Dec 9 15:53: Total variance weighted spectrum flux is 12100.32 Dec 9 15:53: Total unweighted spectrum flux is 5631.252 Dec 9 15:53: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4653806 Dec 9 15:53: EXTRACT: WARNING - Aperture 112: Dec 9 15:53: Total variance weighted spectrum flux is 7036.654 Dec 9 15:53: Total unweighted spectrum flux is 1863.213 Dec 9 15:53: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2647868 Dec 9 15:53: EXTRACT: WARNING - Aperture 113: Dec 9 15:53: Total variance weighted spectrum flux is 5233.389 Dec 9 15:53: Total unweighted spectrum flux is 2305.072 Dec 9 15:53: EXTRACT: Aperture 113 variance spectrum bias factor is 0.440455 Dec 9 15:53: EXTRACT: WARNING - Aperture 115: Dec 9 15:53: Total variance weighted spectrum flux is 2534.428 Dec 9 15:53: Total unweighted spectrum flux is 493.8694 Dec 9 15:53: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1948642 add ThAr.0022.ec.fits,REFSPEC1 = ThAr.0022.ec.fits ThAr.0022.ec.fits updated add ThAr.0026.ec.fits,REFSPEC1 = ThAr.0026.ec.fits ThAr.0026.ec.fits updated add ThAr.0032.ec.fits,REFSPEC1 = ThAr.0032.ec.fits ThAr.0032.ec.fits updated add ThAr.0038.ec.fits,REFSPEC1 = ThAr.0038.ec.fits ThAr.0038.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 Flatfielding extracted arcs and object spectra... add ThAr.0022.ec.fits,UTMIDDLE = 0 ThAr.0022.ec.fits updated ThAr.0022.ec.fits,UTMIDDLE: 0 -> 01:29:32.894736 ThAr.0022.ec.fits updated add ThAr.0026.ec.fits,UTMIDDLE = 0 ThAr.0026.ec.fits updated ThAr.0026.ec.fits,UTMIDDLE: 0 -> 02:22:15.360190 ThAr.0026.ec.fits updated add ThAr.0032.ec.fits,UTMIDDLE = 0 ThAr.0032.ec.fits updated ThAr.0032.ec.fits,UTMIDDLE: 0 -> 03:39:01.532193 ThAr.0032.ec.fits updated add ThAr.0038.ec.fits,UTMIDDLE = 0 ThAr.0038.ec.fits updated ThAr.0038.ec.fits,UTMIDDLE: 0 -> 04:55:45.798175 ThAr.0038.ec.fits updated add ThAr.0044.ec.fits,UTMIDDLE = 0 ThAr.0044.ec.fits updated ThAr.0044.ec.fits,UTMIDDLE: 0 -> 06:11:53.195750 ThAr.0044.ec.fits updated add ThAr.0049.ec.fits,UTMIDDLE = 0 ThAr.0049.ec.fits updated ThAr.0049.ec.fits,UTMIDDLE: 0 -> 07:08:51.060163 ThAr.0049.ec.fits updated add 130928.0023.ec.fits,UTMIDDLE = 0 130928.0023.ec.fits updated 130928.0023.ec.fits,UTMIDDLE: 0 -> 01:44:13.766442 130928.0023.ec.fits updated add 130928.0024.ec.fits,UTMIDDLE = 0 130928.0024.ec.fits updated 130928.0024.ec.fits,UTMIDDLE: 0 -> 01:58:45.975886 130928.0024.ec.fits updated add 130928.0025.ec.fits,UTMIDDLE = 0 130928.0025.ec.fits updated 130928.0025.ec.fits,UTMIDDLE: 0 -> 02:13:18.120956 130928.0025.ec.fits updated add 130928.0027.ec.fits,UTMIDDLE = 0 130928.0027.ec.fits updated 130928.0027.ec.fits,UTMIDDLE: 0 -> 02:31:39.407390 130928.0027.ec.fits updated add 130928.0028.ec.fits,UTMIDDLE = 0 130928.0028.ec.fits updated 130928.0028.ec.fits,UTMIDDLE: 0 -> 02:46:12.460863 130928.0028.ec.fits updated add 130928.0029.ec.fits,UTMIDDLE = 0 130928.0029.ec.fits updated 130928.0029.ec.fits,UTMIDDLE: 0 -> 03:00:44.678892 130928.0029.ec.fits updated add 130928.0030.ec.fits,UTMIDDLE = 0 130928.0030.ec.fits updated 130928.0030.ec.fits,UTMIDDLE: 0 -> 03:15:16.818874 130928.0030.ec.fits updated add 130928.0031.ec.fits,UTMIDDLE = 0 130928.0031.ec.fits updated 130928.0031.ec.fits,UTMIDDLE: 0 -> 03:29:49.016849 130928.0031.ec.fits updated add 130928.0033.ec.fits,UTMIDDLE = 0 130928.0033.ec.fits updated 130928.0033.ec.fits,UTMIDDLE: 0 -> 03:48:13.772899 130928.0033.ec.fits updated add 130928.0034.ec.fits,UTMIDDLE = 0 130928.0034.ec.fits updated 130928.0034.ec.fits,UTMIDDLE: 0 -> 04:02:45.951872 130928.0034.ec.fits updated add 130928.0035.ec.fits,UTMIDDLE = 0 130928.0035.ec.fits updated 130928.0035.ec.fits,UTMIDDLE: 0 -> 04:17:18.130393 130928.0035.ec.fits updated add 130928.0036.ec.fits,UTMIDDLE = 0 130928.0036.ec.fits updated 130928.0036.ec.fits,UTMIDDLE: 0 -> 04:32:18.017368 130928.0036.ec.fits updated add 130928.0037.ec.fits,UTMIDDLE = 0 130928.0037.ec.fits updated 130928.0037.ec.fits,UTMIDDLE: 0 -> 04:46:50.187903 130928.0037.ec.fits updated add 130928.0039.ec.fits,UTMIDDLE = 0 130928.0039.ec.fits updated 130928.0039.ec.fits,UTMIDDLE: 0 -> 05:04:44.378891 130928.0039.ec.fits updated add 130928.0040.ec.fits,UTMIDDLE = 0 130928.0040.ec.fits updated 130928.0040.ec.fits,UTMIDDLE: 0 -> 05:19:16.568821 130928.0040.ec.fits updated add 130928.0041.ec.fits,UTMIDDLE = 0 130928.0041.ec.fits updated 130928.0041.ec.fits,UTMIDDLE: 0 -> 05:33:48.738792 130928.0041.ec.fits updated add 130928.0042.ec.fits,UTMIDDLE = 0 130928.0042.ec.fits updated 130928.0042.ec.fits,UTMIDDLE: 0 -> 05:48:20.903423 130928.0042.ec.fits updated add 130928.0043.ec.fits,UTMIDDLE = 0 130928.0043.ec.fits updated 130928.0043.ec.fits,UTMIDDLE: 0 -> 06:02:53.082424 130928.0043.ec.fits updated add 130928.0045.ec.fits,UTMIDDLE = 0 130928.0045.ec.fits updated 130928.0045.ec.fits,UTMIDDLE: 0 -> 06:20:49.424924 130928.0045.ec.fits updated add 130928.0046.ec.fits,UTMIDDLE = 0 130928.0046.ec.fits updated 130928.0046.ec.fits,UTMIDDLE: 0 -> 06:35:24.228908 130928.0046.ec.fits updated add 130928.0047.ec.fits,UTMIDDLE = 0 130928.0047.ec.fits updated 130928.0047.ec.fits,UTMIDDLE: 0 -> 06:49:58.253844 130928.0047.ec.fits updated add 130928.0048.ec.fits,UTMIDDLE = 0 130928.0048.ec.fits updated 130928.0048.ec.fits,UTMIDDLE: 0 -> 07:02:15.524389 130928.0048.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 130928.0023.ec.fits 2456564.57238 2456564.57474 2456564 130928.0024.ec.fits 2456564.58248 2456564.58484 2456564 130928.0025.ec.fits 2456564.59257 2456564.59493 2456564 130928.0027.ec.fits 2456564.60532 2456564.60768 2456564 130928.0028.ec.fits 2456564.61542 2456564.61778 2456564 130928.0029.ec.fits 2456564.62552 2456564.62788 2456564 130928.0030.ec.fits 2456564.63561 2456564.63797 2456564 130928.0031.ec.fits 2456564.64571 2456564.64807 2456564 130928.0033.ec.fits 2456564.65849 2456564.66085 2456564 130928.0034.ec.fits 2456564.66859 2456564.67095 2456564 130928.0035.ec.fits 2456564.67868 2456564.68104 2456564 130928.0036.ec.fits 2456564.68910 2456564.69146 2456564 130928.0037.ec.fits 2456564.69919 2456564.70155 2456564 130928.0039.ec.fits 2456564.71162 2456564.71398 2456564 130928.0040.ec.fits 2456564.72172 2456564.72408 2456564 130928.0041.ec.fits 2456564.73181 2456564.73417 2456564 130928.0042.ec.fits 2456564.74191 2456564.74427 2456564 130928.0043.ec.fits 2456564.75200 2456564.75436 2456564 130928.0045.ec.fits 2456564.76446 2456564.76682 2456564 130928.0046.ec.fits 2456564.77459 2456564.77694 2456564 130928.0047.ec.fits 2456564.78470 2456564.78706 2456564 130928.0048.ec.fits 2456564.79324 2456564.79559 2456564 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Mon 15:53:15 09-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS ThAr.0022.ec 1986/2055 1986/1986 0.143 -1.05 -1.9E-6 0.00997 ThAr.0026.ec 1999/2055 1999/1999 0.321 -2.35 -4.1E-6 0.00984 ThAr.0032.ec 2008/2055 2008/2008 0.192 -1.39 -2.4E-6 0.00981 ThAr.0038.ec 1997/2055 1997/1997 -0.0873 0.659 1.17E-6 0.0103 ThAr.0044.ec 2004/2055 2004/2004 -0.28 2.07 3.66E-6 0.0105 ThAr.0049.ec 1987/2055 1987/1987 -0.385 2.85 5.03E-6 0.0101 [130928.0023.ec] refspec1='ThAr.0022.ec 0.72146046' [130928.0023.ec] refspec2='ThAr.0026.ec 0.27853954' [130928.0024.ec] refspec1='ThAr.0022.ec 0.44566' [130928.0024.ec] refspec2='ThAr.0026.ec 0.55434' [130928.0025.ec] refspec1='ThAr.0022.ec 0.16987987' [130928.0025.ec] refspec2='ThAr.0026.ec 0.83012015' [130928.0027.ec] refspec1='ThAr.0026.ec 0.87754536' [130928.0027.ec] refspec2='ThAr.0032.ec 0.12245465' [130928.0028.ec] refspec1='ThAr.0026.ec 0.68800545' [130928.0028.ec] refspec2='ThAr.0032.ec 0.31199458' [130928.0029.ec] refspec1='ThAr.0026.ec 0.49864689' [130928.0029.ec] refspec2='ThAr.0032.ec 0.50135314' [130928.0030.ec] refspec1='ThAr.0026.ec 0.30930528' [130928.0030.ec] refspec2='ThAr.0032.ec 0.69069475' [130928.0031.ec] refspec1='ThAr.0026.ec 0.11995109' [130928.0031.ec] refspec2='ThAr.0032.ec 0.88004893' [130928.0033.ec] refspec1='ThAr.0032.ec 0.88005888' [130928.0033.ec] refspec2='ThAr.0038.ec 0.11994109' [130928.0034.ec] refspec1='ThAr.0032.ec 0.69063044' [130928.0034.ec] refspec2='ThAr.0038.ec 0.30936953' [130928.0035.ec] refspec1='ThAr.0032.ec 0.50120211' [130928.0035.ec] refspec2='ThAr.0038.ec 0.49879789' [130928.0036.ec] refspec1='ThAr.0032.ec 0.30575576' [130928.0036.ec] refspec2='ThAr.0038.ec 0.69424427' [130928.0037.ec] refspec1='ThAr.0032.ec 0.11632913' [130928.0037.ec] refspec2='ThAr.0038.ec 0.88367087' [130928.0039.ec] refspec1='ThAr.0038.ec 0.88208151' [130928.0039.ec] refspec2='ThAr.0044.ec 0.11791851' [130928.0040.ec] refspec1='ThAr.0038.ec 0.69112158' [130928.0040.ec] refspec2='ThAr.0044.ec 0.30887845' [130928.0041.ec] refspec1='ThAr.0038.ec 0.500166' [130928.0041.ec] refspec2='ThAr.0044.ec 0.499834' [130928.0042.ec] refspec1='ThAr.0038.ec 0.30921161' [130928.0042.ec] refspec2='ThAr.0044.ec 0.69078839' [130928.0043.ec] refspec1='ThAr.0038.ec 0.11825407' [130928.0043.ec] refspec2='ThAr.0044.ec 0.88174593' [130928.0045.ec] refspec1='ThAr.0044.ec 0.84310985' [130928.0045.ec] refspec2='ThAr.0049.ec 0.15689012' [130928.0046.ec] refspec1='ThAr.0044.ec 0.5871594' [130928.0046.ec] refspec2='ThAr.0049.ec 0.41284057' [130928.0047.ec] refspec1='ThAr.0044.ec 0.33143687' [130928.0047.ec] refspec2='ThAr.0049.ec 0.66856313' [130928.0048.ec] refspec1='ThAr.0044.ec 0.115726' [130928.0048.ec] refspec2='ThAr.0049.ec 0.88427401' [ThAr.0022.ec] refspec1='ThAr.0022.ec' [ThAr.0026.ec] refspec1='ThAr.0026.ec' [ThAr.0032.ec] refspec1='ThAr.0032.ec' [ThAr.0038.ec] refspec1='ThAr.0038.ec' [ThAr.0044.ec] refspec1='ThAr.0044.ec' [ThAr.0049.ec] refspec1='ThAr.0049.ec' 130928.0023.ec.fits: REFSPEC1 = 'ThAr.0022.ec 0.72146046' 130928.0023.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.27853954' 130928.0023.ec.fits: ap = 1, w1 = 10811.77, w2 = 10583.56, dw = -0.13831, nw = 1651 130928.0023.ec.fits: ap = 2, w1 = 10611.56, w2 = 10387.59, dw = -0.13574, nw = 1651 130928.0023.ec.fits: ap = 3, w1 = 10418.64, w2 = 10198.75, dw = -0.13327, nw = 1651 130928.0023.ec.fits: ap = 4, w1 = 10232.61, w2 = 10016.65, dw = -0.13088, nw = 1651 130928.0023.ec.fits: ap = 5, w1 = 10053.1, w2 = 9840.941, dw = -0.12858, nw = 1651 130928.0023.ec.fits: ap = 6, w1 = 9879.787, w2 = 9671.29, dw = -0.12636, nw = 1651 130928.0023.ec.fits: ap = 7, w1 = 9712.347, w2 = 9507.39, dw = -0.12422, nw = 1651 130928.0023.ec.fits: ap = 8, w1 = 9550.487, w2 = 9348.952, dw = -0.12214, nw = 1651 130928.0023.ec.fits: ap = 9, w1 = 9393.934, w2 = 9195.708, dw = -0.12014, nw = 1651 130928.0023.ec.fits: ap = 10, w1 = 9242.432, w2 = 9047.408, dw = -0.1182, nw = 1651 130928.0023.ec.fits: ap = 11, w1 = 9095.739, w2 = 8903.815, dw = -0.11632, nw = 1651 130928.0023.ec.fits: ap = 12, w1 = 8953.629, w2 = 8764.709, dw = -0.1145, nw = 1651 130928.0023.ec.fits: ap = 13, w1 = 8815.892, w2 = 8629.882, dw = -0.11273, nw = 1651 130928.0023.ec.fits: ap = 14, w1 = 8682.33, w2 = 8499.142, dw = -0.11102, nw = 1651 130928.0023.ec.fits: ap = 15, w1 = 8552.754, w2 = 8372.304, dw = -0.10936, nw = 1651 130928.0023.ec.fits: ap = 16, w1 = 8426.989, w2 = 8249.196, dw = -0.10775, nw = 1651 130928.0023.ec.fits: ap = 17, w1 = 8304.87, w2 = 8129.656, dw = -0.10619, nw = 1651 130928.0023.ec.fits: ap = 18, w1 = 8186.239, w2 = 8013.531, dw = -0.10467, nw = 1651 130928.0023.ec.fits: ap = 19, w1 = 8070.95, w2 = 7900.677, dw = -0.1032, nw = 1651 130928.0023.ec.fits: ap = 20, w1 = 7958.864, w2 = 7790.958, dw = -0.10176, nw = 1651 130928.0023.ec.fits: ap = 21, w1 = 7849.848, w2 = 7684.245, dw = -0.10037, nw = 1651 130928.0023.ec.fits: ap = 22, w1 = 7743.779, w2 = 7580.416, dw = -0.09901, nw = 1651 130928.0023.ec.fits: ap = 23, w1 = 7640.539, w2 = 7479.355, dw = -0.09769, nw = 1651 130928.0023.ec.fits: ap = 24, w1 = 7540.015, w2 = 7380.954, dw = -0.0964, nw = 1651 130928.0023.ec.fits: ap = 25, w1 = 7442.102, w2 = 7285.109, dw = -0.09515, nw = 1651 130928.0023.ec.fits: ap = 26, w1 = 7346.7, w2 = 7191.722, dw = -0.09393, nw = 1651 130928.0023.ec.fits: ap = 27, w1 = 7253.713, w2 = 7100.698, dw = -0.09274, nw = 1651 130928.0023.ec.fits: ap = 28, w1 = 7163.05, w2 = 7011.95, dw = -0.09158, nw = 1651 130928.0023.ec.fits: ap = 29, w1 = 7074.627, w2 = 6925.394, dw = -0.09044, nw = 1651 130928.0023.ec.fits: ap = 30, w1 = 6988.36, w2 = 6840.948, dw = -0.08934, nw = 1651 130928.0023.ec.fits: ap = 31, w1 = 6904.171, w2 = 6758.537, dw = -0.08826, nw = 1651 130928.0023.ec.fits: ap = 32, w1 = 6821.987, w2 = 6678.089, dw = -0.08721, nw = 1651 130928.0023.ec.fits: ap = 33, w1 = 6741.737, w2 = 6599.534, dw = -0.08618, nw = 1651 130928.0023.ec.fits: ap = 34, w1 = 6663.354, w2 = 6522.805, dw = -0.08518, nw = 1651 130928.0023.ec.fits: ap = 35, w1 = 6586.772, w2 = 6447.84, dw = -0.0842, nw = 1651 130928.0023.ec.fits: ap = 36, w1 = 6511.931, w2 = 6374.579, dw = -0.08324, nw = 1651 130928.0023.ec.fits: ap = 37, w1 = 6438.771, w2 = 6302.965, dw = -0.08231, nw = 1651 130928.0023.ec.fits: ap = 38, w1 = 6367.238, w2 = 6232.942, dw = -0.08139, nw = 1651 130928.0023.ec.fits: ap = 39, w1 = 6297.276, w2 = 6164.458, dw = -0.0805, nw = 1651 130928.0023.ec.fits: ap = 40, w1 = 6228.836, w2 = 6097.463, dw = -0.07962, nw = 1651 130928.0023.ec.fits: ap = 41, w1 = 6161.867, w2 = 6031.909, dw = -0.07876, nw = 1651 130928.0023.ec.fits: ap = 42, w1 = 6096.324, w2 = 5967.75, dw = -0.07792, nw = 1651 130928.0023.ec.fits: ap = 43, w1 = 6032.16, w2 = 5904.941, dw = -0.0771, nw = 1651 130928.0023.ec.fits: ap = 44, w1 = 5969.333, w2 = 5843.441, dw = -0.0763, nw = 1651 130928.0023.ec.fits: ap = 45, w1 = 5907.802, w2 = 5783.209, dw = -0.07551, nw = 1651 130928.0023.ec.fits: ap = 46, w1 = 5847.526, w2 = 5724.207, dw = -0.07474, nw = 1651 130928.0023.ec.fits: ap = 47, w1 = 5788.468, w2 = 5666.397, dw = -0.07398, nw = 1651 130928.0023.ec.fits: ap = 48, w1 = 5730.592, w2 = 5609.742, dw = -0.07324, nw = 1651 130928.0023.ec.fits: ap = 49, w1 = 5673.861, w2 = 5554.21, dw = -0.07252, nw = 1651 130928.0023.ec.fits: ap = 50, w1 = 5618.243, w2 = 5499.767, dw = -0.0718, nw = 1651 130928.0023.ec.fits: ap = 51, w1 = 5563.705, w2 = 5446.381, dw = -0.07111, nw = 1651 130928.0023.ec.fits: ap = 52, w1 = 5510.216, w2 = 5394.022, dw = -0.07042, nw = 1651 130928.0023.ec.fits: ap = 53, w1 = 5457.746, w2 = 5342.661, dw = -0.06975, nw = 1651 130928.0023.ec.fits: ap = 54, w1 = 5406.265, w2 = 5292.268, dw = -0.06909, nw = 1651 130928.0023.ec.fits: ap = 55, w1 = 5355.748, w2 = 5242.818, dw = -0.06844, nw = 1651 130928.0023.ec.fits: ap = 56, w1 = 5306.165, w2 = 5194.283, dw = -0.06781, nw = 1651 130928.0023.ec.fits: ap = 57, w1 = 5257.493, w2 = 5146.639, dw = -0.06718, nw = 1651 130928.0023.ec.fits: ap = 58, w1 = 5209.706, w2 = 5099.862, dw = -0.06657, nw = 1651 130928.0023.ec.fits: ap = 59, w1 = 5162.779, w2 = 5053.927, dw = -0.06597, nw = 1651 130928.0023.ec.fits: ap = 60, w1 = 5116.691, w2 = 5008.813, dw = -0.06538, nw = 1651 130928.0023.ec.fits: ap = 61, w1 = 5071.419, w2 = 4964.497, dw = -0.0648, nw = 1651 130928.0023.ec.fits: ap = 62, w1 = 5026.941, w2 = 4920.959, dw = -0.06423, nw = 1651 130928.0023.ec.fits: ap = 63, w1 = 4983.236, w2 = 4878.179, dw = -0.06367, nw = 1651 130928.0023.ec.fits: ap = 64, w1 = 4940.285, w2 = 4836.135, dw = -0.06312, nw = 1651 130928.0023.ec.fits: ap = 65, w1 = 4898.069, w2 = 4794.811, dw = -0.06258, nw = 1651 130928.0023.ec.fits: ap = 66, w1 = 4856.568, w2 = 4754.187, dw = -0.06205, nw = 1651 130928.0023.ec.fits: ap = 67, w1 = 4815.764, w2 = 4714.246, dw = -0.06153, nw = 1651 130928.0023.ec.fits: ap = 68, w1 = 4775.641, w2 = 4674.971, dw = -0.06101, nw = 1651 130928.0023.ec.fits: ap = 69, w1 = 4736.181, w2 = 4636.345, dw = -0.06051, nw = 1651 130928.0023.ec.fits: ap = 70, w1 = 4697.368, w2 = 4598.352, dw = -0.06001, nw = 1651 130928.0023.ec.fits: ap = 71, w1 = 4659.187, w2 = 4560.978, dw = -0.05952, nw = 1651 130928.0023.ec.fits: ap = 72, w1 = 4621.621, w2 = 4524.206, dw = -0.05904, nw = 1651 130928.0023.ec.fits: ap = 73, w1 = 4584.656, w2 = 4488.022, dw = -0.05857, nw = 1651 130928.0023.ec.fits: ap = 74, w1 = 4548.278, w2 = 4452.413, dw = -0.0581, nw = 1651 130928.0023.ec.fits: ap = 75, w1 = 4512.473, w2 = 4417.364, dw = -0.05764, nw = 1651 130928.0023.ec.fits: ap = 76, w1 = 4477.228, w2 = 4382.864, dw = -0.05719, nw = 1651 130928.0023.ec.fits: ap = 77, w1 = 4442.529, w2 = 4348.898, dw = -0.05675, nw = 1651 130928.0023.ec.fits: ap = 78, w1 = 4408.365, w2 = 4315.455, dw = -0.05631, nw = 1651 130928.0023.ec.fits: ap = 79, w1 = 4374.721, w2 = 4282.522, dw = -0.05588, nw = 1651 130928.0023.ec.fits: ap = 80, w1 = 4341.588, w2 = 4250.088, dw = -0.05545, nw = 1651 130928.0023.ec.fits: ap = 81, w1 = 4308.953, w2 = 4218.142, dw = -0.05504, nw = 1651 130928.0023.ec.fits: ap = 82, w1 = 4276.805, w2 = 4186.673, dw = -0.05463, nw = 1651 130928.0023.ec.fits: ap = 83, w1 = 4245.134, w2 = 4155.67, dw = -0.05422, nw = 1651 130928.0023.ec.fits: ap = 84, w1 = 4213.928, w2 = 4125.123, dw = -0.05382, nw = 1651 130928.0023.ec.fits: ap = 85, w1 = 4183.178, w2 = 4095.022, dw = -0.05343, nw = 1651 130928.0023.ec.fits: ap = 86, w1 = 4152.874, w2 = 4065.357, dw = -0.05304, nw = 1651 130928.0023.ec.fits: ap = 87, w1 = 4123.006, w2 = 4036.119, dw = -0.05266, nw = 1651 130928.0023.ec.fits: ap = 88, w1 = 4093.565, w2 = 4007.299, dw = -0.05228, nw = 1651 130928.0023.ec.fits: ap = 89, w1 = 4064.542, w2 = 3978.887, dw = -0.05191, nw = 1651 130928.0023.ec.fits: ap = 90, w1 = 4035.927, w2 = 3950.875, dw = -0.05155, nw = 1651 130928.0023.ec.fits: ap = 91, w1 = 4007.713, w2 = 3923.256, dw = -0.05119, nw = 1651 130928.0023.ec.fits: ap = 92, w1 = 3979.89, w2 = 3896.019, dw = -0.05083, nw = 1651 130928.0023.ec.fits: ap = 93, w1 = 3952.452, w2 = 3869.158, dw = -0.05048, nw = 1651 130928.0023.ec.fits: ap = 94, w1 = 3925.389, w2 = 3842.665, dw = -0.05014, nw = 1651 130928.0023.ec.fits: ap = 95, w1 = 3898.695, w2 = 3816.533, dw = -0.0498, nw = 1651 130928.0023.ec.fits: ap = 96, w1 = 3872.361, w2 = 3790.753, dw = -0.04946, nw = 1651 130928.0023.ec.fits: ap = 97, w1 = 3846.381, w2 = 3765.319, dw = -0.04913, nw = 1651 130928.0023.ec.fits: ap = 98, w1 = 3820.748, w2 = 3740.225, dw = -0.0488, nw = 1651 130928.0023.ec.fits: ap = 99, w1 = 3795.455, w2 = 3715.462, dw = -0.04848, nw = 1651 130928.0023.ec.fits: ap = 100, w1 = 3770.494, w2 = 3691.026, dw = -0.04816, nw = 1651 130928.0023.ec.fits: ap = 101, w1 = 3745.86, w2 = 3666.909, dw = -0.04785, nw = 1651 130928.0023.ec.fits: ap = 102, w1 = 3721.545, w2 = 3643.104, dw = -0.04754, nw = 1651 130928.0023.ec.fits: ap = 103, w1 = 3697.544, w2 = 3619.606, dw = -0.04724, nw = 1651 130928.0023.ec.fits: ap = 104, w1 = 3673.852, w2 = 3596.41, dw = -0.04693, nw = 1651 130928.0023.ec.fits: ap = 105, w1 = 3650.461, w2 = 3573.508, dw = -0.04664, nw = 1651 130928.0023.ec.fits: ap = 106, w1 = 3627.366, w2 = 3550.897, dw = -0.04635, nw = 1651 130928.0023.ec.fits: ap = 107, w1 = 3604.562, w2 = 3528.57, dw = -0.04606, nw = 1651 130928.0023.ec.fits: ap = 108, w1 = 3582.043, w2 = 3506.521, dw = -0.04577, nw = 1651 130928.0023.ec.fits: ap = 109, w1 = 3559.804, w2 = 3484.746, dw = -0.04549, nw = 1651 130928.0023.ec.fits: ap = 110, w1 = 3537.84, w2 = 3463.24, dw = -0.04521, nw = 1651 130928.0023.ec.fits: ap = 111, w1 = 3516.145, w2 = 3441.997, dw = -0.04494, nw = 1651 130928.0023.ec.fits: ap = 112, w1 = 3494.715, w2 = 3421.014, dw = -0.04467, nw = 1651 130928.0023.ec.fits: ap = 113, w1 = 3473.545, w2 = 3400.284, dw = -0.0444, nw = 1651 130928.0023.ec.fits: ap = 114, w1 = 3452.629, w2 = 3379.804, dw = -0.04414, nw = 1651 130928.0023.ec.fits: ap = 115, w1 = 3431.965, w2 = 3359.568, dw = -0.04388, nw = 1651 130928.0024.ec.fits: REFSPEC1 = 'ThAr.0022.ec 0.44566' 130928.0024.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.55434' 130928.0024.ec.fits: ap = 1, w1 = 10811.78, w2 = 10583.58, dw = -0.13831, nw = 1651 130928.0024.ec.fits: ap = 2, w1 = 10611.58, w2 = 10387.61, dw = -0.13574, nw = 1651 130928.0024.ec.fits: ap = 3, w1 = 10418.65, w2 = 10198.76, dw = -0.13327, nw = 1651 130928.0024.ec.fits: ap = 4, w1 = 10232.62, w2 = 10016.66, dw = -0.13088, nw = 1651 130928.0024.ec.fits: ap = 5, w1 = 10053.11, w2 = 9840.951, dw = -0.12858, nw = 1651 130928.0024.ec.fits: ap = 6, w1 = 9879.798, w2 = 9671.298, dw = -0.12636, nw = 1651 130928.0024.ec.fits: ap = 7, w1 = 9712.357, w2 = 9507.397, dw = -0.12422, nw = 1651 130928.0024.ec.fits: ap = 8, w1 = 9550.497, w2 = 9348.958, dw = -0.12214, nw = 1651 130928.0024.ec.fits: ap = 9, w1 = 9393.944, w2 = 9195.713, dw = -0.12014, nw = 1651 130928.0024.ec.fits: ap = 10, w1 = 9242.441, w2 = 9047.412, dw = -0.1182, nw = 1651 130928.0024.ec.fits: ap = 11, w1 = 9095.748, w2 = 8903.819, dw = -0.11632, nw = 1651 130928.0024.ec.fits: ap = 12, w1 = 8953.638, w2 = 8764.712, dw = -0.1145, nw = 1651 130928.0024.ec.fits: ap = 13, w1 = 8815.901, w2 = 8629.885, dw = -0.11274, nw = 1651 130928.0024.ec.fits: ap = 14, w1 = 8682.338, w2 = 8499.144, dw = -0.11103, nw = 1651 130928.0024.ec.fits: ap = 15, w1 = 8552.762, w2 = 8372.305, dw = -0.10937, nw = 1651 130928.0024.ec.fits: ap = 16, w1 = 8426.997, w2 = 8249.197, dw = -0.10776, nw = 1651 130928.0024.ec.fits: ap = 17, w1 = 8304.878, w2 = 8129.657, dw = -0.10619, nw = 1651 130928.0024.ec.fits: ap = 18, w1 = 8186.247, w2 = 8013.532, dw = -0.10468, nw = 1651 130928.0024.ec.fits: ap = 19, w1 = 8070.958, w2 = 7900.678, dw = -0.1032, nw = 1651 130928.0024.ec.fits: ap = 20, w1 = 7958.872, w2 = 7790.959, dw = -0.10177, nw = 1651 130928.0024.ec.fits: ap = 21, w1 = 7849.856, w2 = 7684.246, dw = -0.10037, nw = 1651 130928.0024.ec.fits: ap = 22, w1 = 7743.787, w2 = 7580.417, dw = -0.09901, nw = 1651 130928.0024.ec.fits: ap = 23, w1 = 7640.546, w2 = 7479.357, dw = -0.09769, nw = 1651 130928.0024.ec.fits: ap = 24, w1 = 7540.022, w2 = 7380.956, dw = -0.0964, nw = 1651 130928.0024.ec.fits: ap = 25, w1 = 7442.109, w2 = 7285.11, dw = -0.09515, nw = 1651 130928.0024.ec.fits: ap = 26, w1 = 7346.707, w2 = 7191.723, dw = -0.09393, nw = 1651 130928.0024.ec.fits: ap = 27, w1 = 7253.72, w2 = 7100.699, dw = -0.09274, nw = 1651 130928.0024.ec.fits: ap = 28, w1 = 7163.057, w2 = 7011.952, dw = -0.09158, nw = 1651 130928.0024.ec.fits: ap = 29, w1 = 7074.634, w2 = 6925.395, dw = -0.09045, nw = 1651 130928.0024.ec.fits: ap = 30, w1 = 6988.366, w2 = 6840.95, dw = -0.08934, nw = 1651 130928.0024.ec.fits: ap = 31, w1 = 6904.178, w2 = 6758.539, dw = -0.08827, nw = 1651 130928.0024.ec.fits: ap = 32, w1 = 6821.994, w2 = 6678.091, dw = -0.08721, nw = 1651 130928.0024.ec.fits: ap = 33, w1 = 6741.744, w2 = 6599.536, dw = -0.08619, nw = 1651 130928.0024.ec.fits: ap = 34, w1 = 6663.36, w2 = 6522.807, dw = -0.08518, nw = 1651 130928.0024.ec.fits: ap = 35, w1 = 6586.778, w2 = 6447.843, dw = -0.0842, nw = 1651 130928.0024.ec.fits: ap = 36, w1 = 6511.937, w2 = 6374.582, dw = -0.08325, nw = 1651 130928.0024.ec.fits: ap = 37, w1 = 6438.778, w2 = 6302.968, dw = -0.08231, nw = 1651 130928.0024.ec.fits: ap = 38, w1 = 6367.244, w2 = 6232.945, dw = -0.08139, nw = 1651 130928.0024.ec.fits: ap = 39, w1 = 6297.282, w2 = 6164.461, dw = -0.0805, nw = 1651 130928.0024.ec.fits: ap = 40, w1 = 6228.842, w2 = 6097.466, dw = -0.07962, nw = 1651 130928.0024.ec.fits: ap = 41, w1 = 6161.873, w2 = 6031.912, dw = -0.07876, nw = 1651 130928.0024.ec.fits: ap = 42, w1 = 6096.33, w2 = 5967.752, dw = -0.07793, nw = 1651 130928.0024.ec.fits: ap = 43, w1 = 6032.166, w2 = 5904.944, dw = -0.0771, nw = 1651 130928.0024.ec.fits: ap = 44, w1 = 5969.339, w2 = 5843.444, dw = -0.0763, nw = 1651 130928.0024.ec.fits: ap = 45, w1 = 5907.807, w2 = 5783.212, dw = -0.07551, nw = 1651 130928.0024.ec.fits: ap = 46, w1 = 5847.531, w2 = 5724.21, dw = -0.07474, nw = 1651 130928.0024.ec.fits: ap = 47, w1 = 5788.473, w2 = 5666.399, dw = -0.07398, nw = 1651 130928.0024.ec.fits: ap = 48, w1 = 5730.597, w2 = 5609.745, dw = -0.07324, nw = 1651 130928.0024.ec.fits: ap = 49, w1 = 5673.866, w2 = 5554.213, dw = -0.07252, nw = 1651 130928.0024.ec.fits: ap = 50, w1 = 5618.248, w2 = 5499.77, dw = -0.0718, nw = 1651 130928.0024.ec.fits: ap = 51, w1 = 5563.71, w2 = 5446.384, dw = -0.07111, nw = 1651 130928.0024.ec.fits: ap = 52, w1 = 5510.22, w2 = 5394.025, dw = -0.07042, nw = 1651 130928.0024.ec.fits: ap = 53, w1 = 5457.75, w2 = 5342.663, dw = -0.06975, nw = 1651 130928.0024.ec.fits: ap = 54, w1 = 5406.27, w2 = 5292.27, dw = -0.06909, nw = 1651 130928.0024.ec.fits: ap = 55, w1 = 5355.752, w2 = 5242.82, dw = -0.06844, nw = 1651 130928.0024.ec.fits: ap = 56, w1 = 5306.169, w2 = 5194.285, dw = -0.06781, nw = 1651 130928.0024.ec.fits: ap = 57, w1 = 5257.497, w2 = 5146.641, dw = -0.06719, nw = 1651 130928.0024.ec.fits: ap = 58, w1 = 5209.709, w2 = 5099.863, dw = -0.06657, nw = 1651 130928.0024.ec.fits: ap = 59, w1 = 5162.783, w2 = 5053.929, dw = -0.06597, nw = 1651 130928.0024.ec.fits: ap = 60, w1 = 5116.694, w2 = 5008.814, dw = -0.06538, nw = 1651 130928.0024.ec.fits: ap = 61, w1 = 5071.422, w2 = 4964.498, dw = -0.0648, nw = 1651 130928.0024.ec.fits: ap = 62, w1 = 5026.944, w2 = 4920.96, dw = -0.06423, nw = 1651 130928.0024.ec.fits: ap = 63, w1 = 4983.239, w2 = 4878.179, dw = -0.06367, nw = 1651 130928.0024.ec.fits: ap = 64, w1 = 4940.288, w2 = 4836.136, dw = -0.06312, nw = 1651 130928.0024.ec.fits: ap = 65, w1 = 4898.072, w2 = 4794.811, dw = -0.06258, nw = 1651 130928.0024.ec.fits: ap = 66, w1 = 4856.571, w2 = 4754.187, dw = -0.06205, nw = 1651 130928.0024.ec.fits: ap = 67, w1 = 4815.767, w2 = 4714.246, dw = -0.06153, nw = 1651 130928.0024.ec.fits: ap = 68, w1 = 4775.644, w2 = 4674.971, dw = -0.06101, nw = 1651 130928.0024.ec.fits: ap = 69, w1 = 4736.184, w2 = 4636.344, dw = -0.06051, nw = 1651 130928.0024.ec.fits: ap = 70, w1 = 4697.371, w2 = 4598.352, dw = -0.06001, nw = 1651 130928.0024.ec.fits: ap = 71, w1 = 4659.189, w2 = 4560.976, dw = -0.05952, nw = 1651 130928.0024.ec.fits: ap = 72, w1 = 4621.623, w2 = 4524.204, dw = -0.05904, nw = 1651 130928.0024.ec.fits: ap = 73, w1 = 4584.659, w2 = 4488.021, dw = -0.05857, nw = 1651 130928.0024.ec.fits: ap = 74, w1 = 4548.281, w2 = 4452.411, dw = -0.0581, nw = 1651 130928.0024.ec.fits: ap = 75, w1 = 4512.476, w2 = 4417.363, dw = -0.05764, nw = 1651 130928.0024.ec.fits: ap = 76, w1 = 4477.231, w2 = 4382.862, dw = -0.05719, nw = 1651 130928.0024.ec.fits: ap = 77, w1 = 4442.532, w2 = 4348.896, dw = -0.05675, nw = 1651 130928.0024.ec.fits: ap = 78, w1 = 4408.367, w2 = 4315.453, dw = -0.05631, nw = 1651 130928.0024.ec.fits: ap = 79, w1 = 4374.724, w2 = 4282.52, dw = -0.05588, nw = 1651 130928.0024.ec.fits: ap = 80, w1 = 4341.591, w2 = 4250.086, dw = -0.05546, nw = 1651 130928.0024.ec.fits: ap = 81, w1 = 4308.956, w2 = 4218.14, dw = -0.05504, nw = 1651 130928.0024.ec.fits: ap = 82, w1 = 4276.809, w2 = 4186.671, dw = -0.05463, nw = 1651 130928.0024.ec.fits: ap = 83, w1 = 4245.137, w2 = 4155.668, dw = -0.05422, nw = 1651 130928.0024.ec.fits: ap = 84, w1 = 4213.932, w2 = 4125.121, dw = -0.05382, nw = 1651 130928.0024.ec.fits: ap = 85, w1 = 4183.182, w2 = 4095.02, dw = -0.05343, nw = 1651 130928.0024.ec.fits: ap = 86, w1 = 4152.878, w2 = 4065.355, dw = -0.05304, nw = 1651 130928.0024.ec.fits: ap = 87, w1 = 4123.011, w2 = 4036.117, dw = -0.05266, nw = 1651 130928.0024.ec.fits: ap = 88, w1 = 4093.57, w2 = 4007.297, dw = -0.05229, nw = 1651 130928.0024.ec.fits: ap = 89, w1 = 4064.547, w2 = 3978.886, dw = -0.05192, nw = 1651 130928.0024.ec.fits: ap = 90, w1 = 4035.932, w2 = 3950.874, dw = -0.05155, nw = 1651 130928.0024.ec.fits: ap = 91, w1 = 4007.718, w2 = 3923.255, dw = -0.05119, nw = 1651 130928.0024.ec.fits: ap = 92, w1 = 3979.896, w2 = 3896.019, dw = -0.05083, nw = 1651 130928.0024.ec.fits: ap = 93, w1 = 3952.458, w2 = 3869.158, dw = -0.05048, nw = 1651 130928.0024.ec.fits: ap = 94, w1 = 3925.396, w2 = 3842.666, dw = -0.05014, nw = 1651 130928.0024.ec.fits: ap = 95, w1 = 3898.702, w2 = 3816.533, dw = -0.0498, nw = 1651 130928.0024.ec.fits: ap = 96, w1 = 3872.369, w2 = 3790.754, dw = -0.04946, nw = 1651 130928.0024.ec.fits: ap = 97, w1 = 3846.39, w2 = 3765.321, dw = -0.04913, nw = 1651 130928.0024.ec.fits: ap = 98, w1 = 3820.757, w2 = 3740.227, dw = -0.04881, nw = 1651 130928.0024.ec.fits: ap = 99, w1 = 3795.464, w2 = 3715.465, dw = -0.04848, nw = 1651 130928.0024.ec.fits: ap = 100, w1 = 3770.504, w2 = 3691.029, dw = -0.04817, nw = 1651 130928.0024.ec.fits: ap = 101, w1 = 3745.871, w2 = 3666.913, dw = -0.04785, nw = 1651 130928.0024.ec.fits: ap = 102, w1 = 3721.557, w2 = 3643.109, dw = -0.04754, nw = 1651 130928.0024.ec.fits: ap = 103, w1 = 3697.557, w2 = 3619.612, dw = -0.04724, nw = 1651 130928.0024.ec.fits: ap = 104, w1 = 3673.865, w2 = 3596.417, dw = -0.04694, nw = 1651 130928.0024.ec.fits: ap = 105, w1 = 3650.475, w2 = 3573.516, dw = -0.04664, nw = 1651 130928.0024.ec.fits: ap = 106, w1 = 3627.381, w2 = 3550.906, dw = -0.04635, nw = 1651 130928.0024.ec.fits: ap = 107, w1 = 3604.578, w2 = 3528.58, dw = -0.04606, nw = 1651 130928.0024.ec.fits: ap = 108, w1 = 3582.06, w2 = 3506.533, dw = -0.04577, nw = 1651 130928.0024.ec.fits: ap = 109, w1 = 3559.822, w2 = 3484.759, dw = -0.04549, nw = 1651 130928.0024.ec.fits: ap = 110, w1 = 3537.859, w2 = 3463.254, dw = -0.04521, nw = 1651 130928.0024.ec.fits: ap = 111, w1 = 3516.165, w2 = 3442.013, dw = -0.04494, nw = 1651 130928.0024.ec.fits: ap = 112, w1 = 3494.736, w2 = 3421.031, dw = -0.04467, nw = 1651 130928.0024.ec.fits: ap = 113, w1 = 3473.567, w2 = 3400.302, dw = -0.0444, nw = 1651 130928.0024.ec.fits: ap = 114, w1 = 3452.653, w2 = 3379.824, dw = -0.04414, nw = 1651 130928.0024.ec.fits: ap = 115, w1 = 3431.99, w2 = 3359.59, dw = -0.04388, nw = 1651 130928.0025.ec.fits: REFSPEC1 = 'ThAr.0022.ec 0.16987987' 130928.0025.ec.fits: REFSPEC2 = 'ThAr.0026.ec 0.83012015' 130928.0025.ec.fits: ap = 1, w1 = 10811.79, w2 = 10583.59, dw = -0.1383, nw = 1651 130928.0025.ec.fits: ap = 2, w1 = 10611.59, w2 = 10387.62, dw = -0.13574, nw = 1651 130928.0025.ec.fits: ap = 3, w1 = 10418.66, w2 = 10198.77, dw = -0.13327, nw = 1651 130928.0025.ec.fits: ap = 4, w1 = 10232.63, w2 = 10016.67, dw = -0.13088, nw = 1651 130928.0025.ec.fits: ap = 5, w1 = 10053.12, w2 = 9840.96, dw = -0.12858, nw = 1651 130928.0025.ec.fits: ap = 6, w1 = 9879.808, w2 = 9671.307, dw = -0.12636, nw = 1651 130928.0025.ec.fits: ap = 7, w1 = 9712.367, w2 = 9507.404, dw = -0.12422, nw = 1651 130928.0025.ec.fits: ap = 8, w1 = 9550.506, w2 = 9348.964, dw = -0.12215, nw = 1651 130928.0025.ec.fits: ap = 9, w1 = 9393.953, w2 = 9195.718, dw = -0.12014, nw = 1651 130928.0025.ec.fits: ap = 10, w1 = 9242.45, w2 = 9047.416, dw = -0.1182, nw = 1651 130928.0025.ec.fits: ap = 11, w1 = 9095.756, w2 = 8903.822, dw = -0.11632, nw = 1651 130928.0025.ec.fits: ap = 12, w1 = 8953.647, w2 = 8764.715, dw = -0.1145, nw = 1651 130928.0025.ec.fits: ap = 13, w1 = 8815.91, w2 = 8629.887, dw = -0.11274, nw = 1651 130928.0025.ec.fits: ap = 14, w1 = 8682.347, w2 = 8499.146, dw = -0.11103, nw = 1651 130928.0025.ec.fits: ap = 15, w1 = 8552.771, w2 = 8372.307, dw = -0.10937, nw = 1651 130928.0025.ec.fits: ap = 16, w1 = 8427.005, w2 = 8249.199, dw = -0.10776, nw = 1651 130928.0025.ec.fits: ap = 17, w1 = 8304.886, w2 = 8129.658, dw = -0.1062, nw = 1651 130928.0025.ec.fits: ap = 18, w1 = 8186.255, w2 = 8013.533, dw = -0.10468, nw = 1651 130928.0025.ec.fits: ap = 19, w1 = 8070.966, w2 = 7900.679, dw = -0.1032, nw = 1651 130928.0025.ec.fits: ap = 20, w1 = 7958.879, w2 = 7790.96, dw = -0.10177, nw = 1651 130928.0025.ec.fits: ap = 21, w1 = 7849.864, w2 = 7684.247, dw = -0.10037, nw = 1651 130928.0025.ec.fits: ap = 22, w1 = 7743.794, w2 = 7580.418, dw = -0.09902, nw = 1651 130928.0025.ec.fits: ap = 23, w1 = 7640.553, w2 = 7479.358, dw = -0.09769, nw = 1651 130928.0025.ec.fits: ap = 24, w1 = 7540.029, w2 = 7380.957, dw = -0.09641, nw = 1651 130928.0025.ec.fits: ap = 25, w1 = 7442.116, w2 = 7285.112, dw = -0.09515, nw = 1651 130928.0025.ec.fits: ap = 26, w1 = 7346.714, w2 = 7191.724, dw = -0.09393, nw = 1651 130928.0025.ec.fits: ap = 27, w1 = 7253.727, w2 = 7100.701, dw = -0.09274, nw = 1651 130928.0025.ec.fits: ap = 28, w1 = 7163.064, w2 = 7011.953, dw = -0.09158, nw = 1651 130928.0025.ec.fits: ap = 29, w1 = 7074.641, w2 = 6925.397, dw = -0.09045, nw = 1651 130928.0025.ec.fits: ap = 30, w1 = 6988.373, w2 = 6840.952, dw = -0.08935, nw = 1651 130928.0025.ec.fits: ap = 31, w1 = 6904.185, w2 = 6758.541, dw = -0.08827, nw = 1651 130928.0025.ec.fits: ap = 32, w1 = 6822.001, w2 = 6678.093, dw = -0.08722, nw = 1651 130928.0025.ec.fits: ap = 33, w1 = 6741.751, w2 = 6599.538, dw = -0.08619, nw = 1651 130928.0025.ec.fits: ap = 34, w1 = 6663.367, w2 = 6522.809, dw = -0.08519, nw = 1651 130928.0025.ec.fits: ap = 35, w1 = 6586.785, w2 = 6447.845, dw = -0.08421, nw = 1651 130928.0025.ec.fits: ap = 36, w1 = 6511.943, w2 = 6374.584, dw = -0.08325, nw = 1651 130928.0025.ec.fits: ap = 37, w1 = 6438.784, w2 = 6302.97, dw = -0.08231, nw = 1651 130928.0025.ec.fits: ap = 38, w1 = 6367.25, w2 = 6232.947, dw = -0.0814, nw = 1651 130928.0025.ec.fits: ap = 39, w1 = 6297.289, w2 = 6164.463, dw = -0.0805, nw = 1651 130928.0025.ec.fits: ap = 40, w1 = 6228.848, w2 = 6097.469, dw = -0.07962, nw = 1651 130928.0025.ec.fits: ap = 41, w1 = 6161.879, w2 = 6031.914, dw = -0.07877, nw = 1651 130928.0025.ec.fits: ap = 42, w1 = 6096.335, w2 = 5967.755, dw = -0.07793, nw = 1651 130928.0025.ec.fits: ap = 43, w1 = 6032.171, w2 = 5904.947, dw = -0.07711, nw = 1651 130928.0025.ec.fits: ap = 44, w1 = 5969.344, w2 = 5843.447, dw = -0.0763, nw = 1651 130928.0025.ec.fits: ap = 45, w1 = 5907.813, w2 = 5783.215, dw = -0.07551, nw = 1651 130928.0025.ec.fits: ap = 46, w1 = 5847.537, w2 = 5724.212, dw = -0.07474, nw = 1651 130928.0025.ec.fits: ap = 47, w1 = 5788.479, w2 = 5666.402, dw = -0.07399, nw = 1651 130928.0025.ec.fits: ap = 48, w1 = 5730.602, w2 = 5609.748, dw = -0.07324, nw = 1651 130928.0025.ec.fits: ap = 49, w1 = 5673.871, w2 = 5554.216, dw = -0.07252, nw = 1651 130928.0025.ec.fits: ap = 50, w1 = 5618.253, w2 = 5499.772, dw = -0.07181, nw = 1651 130928.0025.ec.fits: ap = 51, w1 = 5563.714, w2 = 5446.386, dw = -0.07111, nw = 1651 130928.0025.ec.fits: ap = 52, w1 = 5510.225, w2 = 5394.027, dw = -0.07042, nw = 1651 130928.0025.ec.fits: ap = 53, w1 = 5457.754, w2 = 5342.665, dw = -0.06975, nw = 1651 130928.0025.ec.fits: ap = 54, w1 = 5406.274, w2 = 5292.272, dw = -0.06909, nw = 1651 130928.0025.ec.fits: ap = 55, w1 = 5355.756, w2 = 5242.822, dw = -0.06844, nw = 1651 130928.0025.ec.fits: ap = 56, w1 = 5306.173, w2 = 5194.287, dw = -0.06781, nw = 1651 130928.0025.ec.fits: ap = 57, w1 = 5257.501, w2 = 5146.643, dw = -0.06719, nw = 1651 130928.0025.ec.fits: ap = 58, w1 = 5209.713, w2 = 5099.865, dw = -0.06657, nw = 1651 130928.0025.ec.fits: ap = 59, w1 = 5162.786, w2 = 5053.93, dw = -0.06597, nw = 1651 130928.0025.ec.fits: ap = 60, w1 = 5116.698, w2 = 5008.815, dw = -0.06538, nw = 1651 130928.0025.ec.fits: ap = 61, w1 = 5071.425, w2 = 4964.499, dw = -0.0648, nw = 1651 130928.0025.ec.fits: ap = 62, w1 = 5026.947, w2 = 4920.961, dw = -0.06423, nw = 1651 130928.0025.ec.fits: ap = 63, w1 = 4983.242, w2 = 4878.18, dw = -0.06367, nw = 1651 130928.0025.ec.fits: ap = 64, w1 = 4940.291, w2 = 4836.136, dw = -0.06312, nw = 1651 130928.0025.ec.fits: ap = 65, w1 = 4898.075, w2 = 4794.811, dw = -0.06258, nw = 1651 130928.0025.ec.fits: ap = 66, w1 = 4856.574, w2 = 4754.187, dw = -0.06205, nw = 1651 130928.0025.ec.fits: ap = 67, w1 = 4815.77, w2 = 4714.246, dw = -0.06153, nw = 1651 130928.0025.ec.fits: ap = 68, w1 = 4775.647, w2 = 4674.97, dw = -0.06102, nw = 1651 130928.0025.ec.fits: ap = 69, w1 = 4736.187, w2 = 4636.344, dw = -0.06051, nw = 1651 130928.0025.ec.fits: ap = 70, w1 = 4697.374, w2 = 4598.351, dw = -0.06001, nw = 1651 130928.0025.ec.fits: ap = 71, w1 = 4659.192, w2 = 4560.975, dw = -0.05953, nw = 1651 130928.0025.ec.fits: ap = 72, w1 = 4621.626, w2 = 4524.203, dw = -0.05904, nw = 1651 130928.0025.ec.fits: ap = 73, w1 = 4584.661, w2 = 4488.019, dw = -0.05857, nw = 1651 130928.0025.ec.fits: ap = 74, w1 = 4548.284, w2 = 4452.41, dw = -0.05811, nw = 1651 130928.0025.ec.fits: ap = 75, w1 = 4512.479, w2 = 4417.361, dw = -0.05765, nw = 1651 130928.0025.ec.fits: ap = 76, w1 = 4477.234, w2 = 4382.86, dw = -0.0572, nw = 1651 130928.0025.ec.fits: ap = 77, w1 = 4442.535, w2 = 4348.894, dw = -0.05675, nw = 1651 130928.0025.ec.fits: ap = 78, w1 = 4408.37, w2 = 4315.451, dw = -0.05631, nw = 1651 130928.0025.ec.fits: ap = 79, w1 = 4374.727, w2 = 4282.518, dw = -0.05588, nw = 1651 130928.0025.ec.fits: ap = 80, w1 = 4341.594, w2 = 4250.084, dw = -0.05546, nw = 1651 130928.0025.ec.fits: ap = 81, w1 = 4308.96, w2 = 4218.138, dw = -0.05504, nw = 1651 130928.0025.ec.fits: ap = 82, w1 = 4276.812, w2 = 4186.669, dw = -0.05463, nw = 1651 130928.0025.ec.fits: ap = 83, w1 = 4245.141, w2 = 4155.666, dw = -0.05423, nw = 1651 130928.0025.ec.fits: ap = 84, w1 = 4213.936, w2 = 4125.119, dw = -0.05383, nw = 1651 130928.0025.ec.fits: ap = 85, w1 = 4183.186, w2 = 4095.018, dw = -0.05344, nw = 1651 130928.0025.ec.fits: ap = 86, w1 = 4152.883, w2 = 4065.353, dw = -0.05305, nw = 1651 130928.0025.ec.fits: ap = 87, w1 = 4123.015, w2 = 4036.116, dw = -0.05267, nw = 1651 130928.0025.ec.fits: ap = 88, w1 = 4093.574, w2 = 4007.296, dw = -0.05229, nw = 1651 130928.0025.ec.fits: ap = 89, w1 = 4064.552, w2 = 3978.884, dw = -0.05192, nw = 1651 130928.0025.ec.fits: ap = 90, w1 = 4035.938, w2 = 3950.873, dw = -0.05155, nw = 1651 130928.0025.ec.fits: ap = 91, w1 = 4007.724, w2 = 3923.254, dw = -0.05119, nw = 1651 130928.0025.ec.fits: ap = 92, w1 = 3979.902, w2 = 3896.018, dw = -0.05084, nw = 1651 130928.0025.ec.fits: ap = 93, w1 = 3952.465, w2 = 3869.158, dw = -0.05049, nw = 1651 130928.0025.ec.fits: ap = 94, w1 = 3925.403, w2 = 3842.666, dw = -0.05014, nw = 1651 130928.0025.ec.fits: ap = 95, w1 = 3898.71, w2 = 3816.534, dw = -0.0498, nw = 1651 130928.0025.ec.fits: ap = 96, w1 = 3872.377, w2 = 3790.755, dw = -0.04947, nw = 1651 130928.0025.ec.fits: ap = 97, w1 = 3846.399, w2 = 3765.323, dw = -0.04914, nw = 1651 130928.0025.ec.fits: ap = 98, w1 = 3820.766, w2 = 3740.229, dw = -0.04881, nw = 1651 130928.0025.ec.fits: ap = 99, w1 = 3795.474, w2 = 3715.468, dw = -0.04849, nw = 1651 130928.0025.ec.fits: ap = 100, w1 = 3770.515, w2 = 3691.033, dw = -0.04817, nw = 1651 130928.0025.ec.fits: ap = 101, w1 = 3745.882, w2 = 3666.917, dw = -0.04786, nw = 1651 130928.0025.ec.fits: ap = 102, w1 = 3721.568, w2 = 3643.114, dw = -0.04755, nw = 1651 130928.0025.ec.fits: ap = 103, w1 = 3697.569, w2 = 3619.618, dw = -0.04724, nw = 1651 130928.0025.ec.fits: ap = 104, w1 = 3673.878, w2 = 3596.423, dw = -0.04694, nw = 1651 130928.0025.ec.fits: ap = 105, w1 = 3650.489, w2 = 3573.524, dw = -0.04665, nw = 1651 130928.0025.ec.fits: ap = 106, w1 = 3627.396, w2 = 3550.915, dw = -0.04635, nw = 1651 130928.0025.ec.fits: ap = 107, w1 = 3604.594, w2 = 3528.59, dw = -0.04606, nw = 1651 130928.0025.ec.fits: ap = 108, w1 = 3582.077, w2 = 3506.544, dw = -0.04578, nw = 1651 130928.0025.ec.fits: ap = 109, w1 = 3559.84, w2 = 3484.772, dw = -0.0455, nw = 1651 130928.0025.ec.fits: ap = 110, w1 = 3537.878, w2 = 3463.268, dw = -0.04522, nw = 1651 130928.0025.ec.fits: ap = 111, w1 = 3516.185, w2 = 3442.028, dw = -0.04494, nw = 1651 130928.0025.ec.fits: ap = 112, w1 = 3494.757, w2 = 3421.048, dw = -0.04467, nw = 1651 130928.0025.ec.fits: ap = 113, w1 = 3473.589, w2 = 3400.321, dw = -0.0444, nw = 1651 130928.0025.ec.fits: ap = 114, w1 = 3452.676, w2 = 3379.844, dw = -0.04414, nw = 1651 130928.0025.ec.fits: ap = 115, w1 = 3432.014, w2 = 3359.612, dw = -0.04388, nw = 1651 130928.0027.ec.fits: REFSPEC1 = 'ThAr.0026.ec 0.87754536' 130928.0027.ec.fits: REFSPEC2 = 'ThAr.0032.ec 0.12245465' 130928.0027.ec.fits: ap = 1, w1 = 10811.79, w2 = 10583.6, dw = -0.1383, nw = 1651 130928.0027.ec.fits: ap = 2, w1 = 10611.59, w2 = 10387.62, dw = -0.13574, nw = 1651 130928.0027.ec.fits: ap = 3, w1 = 10418.67, w2 = 10198.78, dw = -0.13327, nw = 1651 130928.0027.ec.fits: ap = 4, w1 = 10232.63, w2 = 10016.68, dw = -0.13088, nw = 1651 130928.0027.ec.fits: ap = 5, w1 = 10053.13, w2 = 9840.962, dw = -0.12858, nw = 1651 130928.0027.ec.fits: ap = 6, w1 = 9879.811, w2 = 9671.308, dw = -0.12637, nw = 1651 130928.0027.ec.fits: ap = 7, w1 = 9712.369, w2 = 9507.404, dw = -0.12422, nw = 1651 130928.0027.ec.fits: ap = 8, w1 = 9550.509, w2 = 9348.964, dw = -0.12215, nw = 1651 130928.0027.ec.fits: ap = 9, w1 = 9393.956, w2 = 9195.719, dw = -0.12014, nw = 1651 130928.0027.ec.fits: ap = 10, w1 = 9242.454, w2 = 9047.416, dw = -0.1182, nw = 1651 130928.0027.ec.fits: ap = 11, w1 = 9095.76, w2 = 8903.822, dw = -0.11633, nw = 1651 130928.0027.ec.fits: ap = 12, w1 = 8953.651, w2 = 8764.715, dw = -0.11451, nw = 1651 130928.0027.ec.fits: ap = 13, w1 = 8815.914, w2 = 8629.887, dw = -0.11274, nw = 1651 130928.0027.ec.fits: ap = 14, w1 = 8682.351, w2 = 8499.146, dw = -0.11103, nw = 1651 130928.0027.ec.fits: ap = 15, w1 = 8552.775, w2 = 8372.307, dw = -0.10937, nw = 1651 130928.0027.ec.fits: ap = 16, w1 = 8427.01, w2 = 8249.198, dw = -0.10776, nw = 1651 130928.0027.ec.fits: ap = 17, w1 = 8304.89, w2 = 8129.657, dw = -0.1062, nw = 1651 130928.0027.ec.fits: ap = 18, w1 = 8186.259, w2 = 8013.532, dw = -0.10468, nw = 1651 130928.0027.ec.fits: ap = 19, w1 = 8070.97, w2 = 7900.678, dw = -0.10321, nw = 1651 130928.0027.ec.fits: ap = 20, w1 = 7958.883, w2 = 7790.959, dw = -0.10177, nw = 1651 130928.0027.ec.fits: ap = 21, w1 = 7849.867, w2 = 7684.246, dw = -0.10038, nw = 1651 130928.0027.ec.fits: ap = 22, w1 = 7743.798, w2 = 7580.417, dw = -0.09902, nw = 1651 130928.0027.ec.fits: ap = 23, w1 = 7640.557, w2 = 7479.356, dw = -0.0977, nw = 1651 130928.0027.ec.fits: ap = 24, w1 = 7540.033, w2 = 7380.956, dw = -0.09641, nw = 1651 130928.0027.ec.fits: ap = 25, w1 = 7442.12, w2 = 7285.111, dw = -0.09516, nw = 1651 130928.0027.ec.fits: ap = 26, w1 = 7346.718, w2 = 7191.724, dw = -0.09394, nw = 1651 130928.0027.ec.fits: ap = 27, w1 = 7253.731, w2 = 7100.7, dw = -0.09275, nw = 1651 130928.0027.ec.fits: ap = 28, w1 = 7163.068, w2 = 7011.953, dw = -0.09159, nw = 1651 130928.0027.ec.fits: ap = 29, w1 = 7074.644, w2 = 6925.396, dw = -0.09045, nw = 1651 130928.0027.ec.fits: ap = 30, w1 = 6988.377, w2 = 6840.951, dw = -0.08935, nw = 1651 130928.0027.ec.fits: ap = 31, w1 = 6904.188, w2 = 6758.541, dw = -0.08827, nw = 1651 130928.0027.ec.fits: ap = 32, w1 = 6822.004, w2 = 6678.093, dw = -0.08722, nw = 1651 130928.0027.ec.fits: ap = 33, w1 = 6741.754, w2 = 6599.538, dw = -0.08619, nw = 1651 130928.0027.ec.fits: ap = 34, w1 = 6663.37, w2 = 6522.809, dw = -0.08519, nw = 1651 130928.0027.ec.fits: ap = 35, w1 = 6586.788, w2 = 6447.845, dw = -0.08421, nw = 1651 130928.0027.ec.fits: ap = 36, w1 = 6511.946, w2 = 6374.584, dw = -0.08325, nw = 1651 130928.0027.ec.fits: ap = 37, w1 = 6438.787, w2 = 6302.97, dw = -0.08231, nw = 1651 130928.0027.ec.fits: ap = 38, w1 = 6367.253, w2 = 6232.947, dw = -0.0814, nw = 1651 130928.0027.ec.fits: ap = 39, w1 = 6297.291, w2 = 6164.463, dw = -0.0805, nw = 1651 130928.0027.ec.fits: ap = 40, w1 = 6228.851, w2 = 6097.468, dw = -0.07963, nw = 1651 130928.0027.ec.fits: ap = 41, w1 = 6161.882, w2 = 6031.914, dw = -0.07877, nw = 1651 130928.0027.ec.fits: ap = 42, w1 = 6096.338, w2 = 5967.755, dw = -0.07793, nw = 1651 130928.0027.ec.fits: ap = 43, w1 = 6032.174, w2 = 5904.947, dw = -0.07711, nw = 1651 130928.0027.ec.fits: ap = 44, w1 = 5969.347, w2 = 5843.447, dw = -0.0763, nw = 1651 130928.0027.ec.fits: ap = 45, w1 = 5907.815, w2 = 5783.215, dw = -0.07552, nw = 1651 130928.0027.ec.fits: ap = 46, w1 = 5847.539, w2 = 5724.212, dw = -0.07474, nw = 1651 130928.0027.ec.fits: ap = 47, w1 = 5788.481, w2 = 5666.402, dw = -0.07399, nw = 1651 130928.0027.ec.fits: ap = 48, w1 = 5730.604, w2 = 5609.748, dw = -0.07325, nw = 1651 130928.0027.ec.fits: ap = 49, w1 = 5673.873, w2 = 5554.216, dw = -0.07252, nw = 1651 130928.0027.ec.fits: ap = 50, w1 = 5618.255, w2 = 5499.772, dw = -0.07181, nw = 1651 130928.0027.ec.fits: ap = 51, w1 = 5563.716, w2 = 5446.386, dw = -0.07111, nw = 1651 130928.0027.ec.fits: ap = 52, w1 = 5510.227, w2 = 5394.027, dw = -0.07042, nw = 1651 130928.0027.ec.fits: ap = 53, w1 = 5457.757, w2 = 5342.665, dw = -0.06975, nw = 1651 130928.0027.ec.fits: ap = 54, w1 = 5406.276, w2 = 5292.272, dw = -0.06909, nw = 1651 130928.0027.ec.fits: ap = 55, w1 = 5355.758, w2 = 5242.822, dw = -0.06845, nw = 1651 130928.0027.ec.fits: ap = 56, w1 = 5306.175, w2 = 5194.287, dw = -0.06781, nw = 1651 130928.0027.ec.fits: ap = 57, w1 = 5257.503, w2 = 5146.643, dw = -0.06719, nw = 1651 130928.0027.ec.fits: ap = 58, w1 = 5209.715, w2 = 5099.865, dw = -0.06658, nw = 1651 130928.0027.ec.fits: ap = 59, w1 = 5162.789, w2 = 5053.93, dw = -0.06598, nw = 1651 130928.0027.ec.fits: ap = 60, w1 = 5116.7, w2 = 5008.815, dw = -0.06538, nw = 1651 130928.0027.ec.fits: ap = 61, w1 = 5071.428, w2 = 4964.499, dw = -0.06481, nw = 1651 130928.0027.ec.fits: ap = 62, w1 = 5026.949, w2 = 4920.96, dw = -0.06424, nw = 1651 130928.0027.ec.fits: ap = 63, w1 = 4983.245, w2 = 4878.179, dw = -0.06368, nw = 1651 130928.0027.ec.fits: ap = 64, w1 = 4940.294, w2 = 4836.136, dw = -0.06313, nw = 1651 130928.0027.ec.fits: ap = 65, w1 = 4898.077, w2 = 4794.811, dw = -0.06259, nw = 1651 130928.0027.ec.fits: ap = 66, w1 = 4856.576, w2 = 4754.187, dw = -0.06205, nw = 1651 130928.0027.ec.fits: ap = 67, w1 = 4815.772, w2 = 4714.245, dw = -0.06153, nw = 1651 130928.0027.ec.fits: ap = 68, w1 = 4775.649, w2 = 4674.97, dw = -0.06102, nw = 1651 130928.0027.ec.fits: ap = 69, w1 = 4736.189, w2 = 4636.343, dw = -0.06051, nw = 1651 130928.0027.ec.fits: ap = 70, w1 = 4697.376, w2 = 4598.35, dw = -0.06002, nw = 1651 130928.0027.ec.fits: ap = 71, w1 = 4659.194, w2 = 4560.975, dw = -0.05953, nw = 1651 130928.0027.ec.fits: ap = 72, w1 = 4621.629, w2 = 4524.202, dw = -0.05905, nw = 1651 130928.0027.ec.fits: ap = 73, w1 = 4584.663, w2 = 4488.018, dw = -0.05857, nw = 1651 130928.0027.ec.fits: ap = 74, w1 = 4548.285, w2 = 4452.408, dw = -0.05811, nw = 1651 130928.0027.ec.fits: ap = 75, w1 = 4512.481, w2 = 4417.359, dw = -0.05765, nw = 1651 130928.0027.ec.fits: ap = 76, w1 = 4477.235, w2 = 4382.858, dw = -0.0572, nw = 1651 130928.0027.ec.fits: ap = 77, w1 = 4442.537, w2 = 4348.893, dw = -0.05675, nw = 1651 130928.0027.ec.fits: ap = 78, w1 = 4408.372, w2 = 4315.449, dw = -0.05632, nw = 1651 130928.0027.ec.fits: ap = 79, w1 = 4374.729, w2 = 4282.516, dw = -0.05589, nw = 1651 130928.0027.ec.fits: ap = 80, w1 = 4341.596, w2 = 4250.083, dw = -0.05546, nw = 1651 130928.0027.ec.fits: ap = 81, w1 = 4308.961, w2 = 4218.137, dw = -0.05505, nw = 1651 130928.0027.ec.fits: ap = 82, w1 = 4276.814, w2 = 4186.668, dw = -0.05463, nw = 1651 130928.0027.ec.fits: ap = 83, w1 = 4245.142, w2 = 4155.665, dw = -0.05423, nw = 1651 130928.0027.ec.fits: ap = 84, w1 = 4213.937, w2 = 4125.118, dw = -0.05383, nw = 1651 130928.0027.ec.fits: ap = 85, w1 = 4183.188, w2 = 4095.017, dw = -0.05344, nw = 1651 130928.0027.ec.fits: ap = 86, w1 = 4152.884, w2 = 4065.352, dw = -0.05305, nw = 1651 130928.0027.ec.fits: ap = 87, w1 = 4123.016, w2 = 4036.114, dw = -0.05267, nw = 1651 130928.0027.ec.fits: ap = 88, w1 = 4093.575, w2 = 4007.294, dw = -0.05229, nw = 1651 130928.0027.ec.fits: ap = 89, w1 = 4064.552, w2 = 3978.883, dw = -0.05192, nw = 1651 130928.0027.ec.fits: ap = 90, w1 = 4035.938, w2 = 3950.872, dw = -0.05156, nw = 1651 130928.0027.ec.fits: ap = 91, w1 = 4007.725, w2 = 3923.253, dw = -0.05119, nw = 1651 130928.0027.ec.fits: ap = 92, w1 = 3979.903, w2 = 3896.017, dw = -0.05084, nw = 1651 130928.0027.ec.fits: ap = 93, w1 = 3952.465, w2 = 3869.157, dw = -0.05049, nw = 1651 130928.0027.ec.fits: ap = 94, w1 = 3925.403, w2 = 3842.665, dw = -0.05014, nw = 1651 130928.0027.ec.fits: ap = 95, w1 = 3898.71, w2 = 3816.534, dw = -0.0498, nw = 1651 130928.0027.ec.fits: ap = 96, w1 = 3872.377, w2 = 3790.755, dw = -0.04947, nw = 1651 130928.0027.ec.fits: ap = 97, w1 = 3846.398, w2 = 3765.323, dw = -0.04914, nw = 1651 130928.0027.ec.fits: ap = 98, w1 = 3820.765, w2 = 3740.23, dw = -0.04881, nw = 1651 130928.0027.ec.fits: ap = 99, w1 = 3795.473, w2 = 3715.469, dw = -0.04849, nw = 1651 130928.0027.ec.fits: ap = 100, w1 = 3770.513, w2 = 3691.033, dw = -0.04817, nw = 1651 130928.0027.ec.fits: ap = 101, w1 = 3745.879, w2 = 3666.918, dw = -0.04786, nw = 1651 130928.0027.ec.fits: ap = 102, w1 = 3721.566, w2 = 3643.115, dw = -0.04755, nw = 1651 130928.0027.ec.fits: ap = 103, w1 = 3697.566, w2 = 3619.619, dw = -0.04724, nw = 1651 130928.0027.ec.fits: ap = 104, w1 = 3673.875, w2 = 3596.425, dw = -0.04694, nw = 1651 130928.0027.ec.fits: ap = 105, w1 = 3650.485, w2 = 3573.526, dw = -0.04664, nw = 1651 130928.0027.ec.fits: ap = 106, w1 = 3627.392, w2 = 3550.917, dw = -0.04635, nw = 1651 130928.0027.ec.fits: ap = 107, w1 = 3604.589, w2 = 3528.592, dw = -0.04606, nw = 1651 130928.0027.ec.fits: ap = 108, w1 = 3582.071, w2 = 3506.547, dw = -0.04577, nw = 1651 130928.0027.ec.fits: ap = 109, w1 = 3559.834, w2 = 3484.775, dw = -0.04549, nw = 1651 130928.0027.ec.fits: ap = 110, w1 = 3537.871, w2 = 3463.272, dw = -0.04521, nw = 1651 130928.0027.ec.fits: ap = 111, w1 = 3516.177, w2 = 3442.032, dw = -0.04494, nw = 1651 130928.0027.ec.fits: ap = 112, w1 = 3494.749, w2 = 3421.052, dw = -0.04466, nw = 1651 130928.0027.ec.fits: ap = 113, w1 = 3473.58, w2 = 3400.326, dw = -0.0444, nw = 1651 130928.0027.ec.fits: ap = 114, w1 = 3452.667, w2 = 3379.849, dw = -0.04413, nw = 1651 130928.0027.ec.fits: ap = 115, w1 = 3432.004, w2 = 3359.618, dw = -0.04387, nw = 1651 130928.0028.ec.fits: REFSPEC1 = 'ThAr.0026.ec 0.68800545' 130928.0028.ec.fits: REFSPEC2 = 'ThAr.0032.ec 0.31199458' 130928.0028.ec.fits: ap = 1, w1 = 10811.78, w2 = 10583.59, dw = -0.1383, nw = 1651 130928.0028.ec.fits: ap = 2, w1 = 10611.58, w2 = 10387.61, dw = -0.13574, nw = 1651 130928.0028.ec.fits: ap = 3, w1 = 10418.66, w2 = 10198.77, dw = -0.13327, nw = 1651 130928.0028.ec.fits: ap = 4, w1 = 10232.63, w2 = 10016.67, dw = -0.13088, nw = 1651 130928.0028.ec.fits: ap = 5, w1 = 10053.12, w2 = 9840.956, dw = -0.12858, nw = 1651 130928.0028.ec.fits: ap = 6, w1 = 9879.805, w2 = 9671.303, dw = -0.12637, nw = 1651 130928.0028.ec.fits: ap = 7, w1 = 9712.364, w2 = 9507.399, dw = -0.12422, nw = 1651 130928.0028.ec.fits: ap = 8, w1 = 9550.506, w2 = 9348.96, dw = -0.12215, nw = 1651 130928.0028.ec.fits: ap = 9, w1 = 9393.953, w2 = 9195.715, dw = -0.12014, nw = 1651 130928.0028.ec.fits: ap = 10, w1 = 9242.451, w2 = 9047.413, dw = -0.1182, nw = 1651 130928.0028.ec.fits: ap = 11, w1 = 9095.758, w2 = 8903.819, dw = -0.11633, nw = 1651 130928.0028.ec.fits: ap = 12, w1 = 8953.649, w2 = 8764.712, dw = -0.11451, nw = 1651 130928.0028.ec.fits: ap = 13, w1 = 8815.913, w2 = 8629.885, dw = -0.11274, nw = 1651 130928.0028.ec.fits: ap = 14, w1 = 8682.35, w2 = 8499.143, dw = -0.11103, nw = 1651 130928.0028.ec.fits: ap = 15, w1 = 8552.774, w2 = 8372.304, dw = -0.10938, nw = 1651 130928.0028.ec.fits: ap = 16, w1 = 8427.009, w2 = 8249.196, dw = -0.10777, nw = 1651 130928.0028.ec.fits: ap = 17, w1 = 8304.889, w2 = 8129.655, dw = -0.1062, nw = 1651 130928.0028.ec.fits: ap = 18, w1 = 8186.258, w2 = 8013.53, dw = -0.10468, nw = 1651 130928.0028.ec.fits: ap = 19, w1 = 8070.969, w2 = 7900.676, dw = -0.10321, nw = 1651 130928.0028.ec.fits: ap = 20, w1 = 7958.883, w2 = 7790.957, dw = -0.10177, nw = 1651 130928.0028.ec.fits: ap = 21, w1 = 7849.867, w2 = 7684.244, dw = -0.10038, nw = 1651 130928.0028.ec.fits: ap = 22, w1 = 7743.797, w2 = 7580.415, dw = -0.09902, nw = 1651 130928.0028.ec.fits: ap = 23, w1 = 7640.556, w2 = 7479.354, dw = -0.0977, nw = 1651 130928.0028.ec.fits: ap = 24, w1 = 7540.033, w2 = 7380.954, dw = -0.09641, nw = 1651 130928.0028.ec.fits: ap = 25, w1 = 7442.119, w2 = 7285.109, dw = -0.09516, nw = 1651 130928.0028.ec.fits: ap = 26, w1 = 7346.717, w2 = 7191.722, dw = -0.09394, nw = 1651 130928.0028.ec.fits: ap = 27, w1 = 7253.73, w2 = 7100.698, dw = -0.09275, nw = 1651 130928.0028.ec.fits: ap = 28, w1 = 7163.067, w2 = 7011.951, dw = -0.09159, nw = 1651 130928.0028.ec.fits: ap = 29, w1 = 7074.643, w2 = 6925.394, dw = -0.09045, nw = 1651 130928.0028.ec.fits: ap = 30, w1 = 6988.376, w2 = 6840.949, dw = -0.08935, nw = 1651 130928.0028.ec.fits: ap = 31, w1 = 6904.187, w2 = 6758.539, dw = -0.08827, nw = 1651 130928.0028.ec.fits: ap = 32, w1 = 6822.003, w2 = 6678.09, dw = -0.08722, nw = 1651 130928.0028.ec.fits: ap = 33, w1 = 6741.752, w2 = 6599.535, dw = -0.08619, nw = 1651 130928.0028.ec.fits: ap = 34, w1 = 6663.368, w2 = 6522.807, dw = -0.08519, nw = 1651 130928.0028.ec.fits: ap = 35, w1 = 6586.786, w2 = 6447.842, dw = -0.08421, nw = 1651 130928.0028.ec.fits: ap = 36, w1 = 6511.945, w2 = 6374.582, dw = -0.08325, nw = 1651 130928.0028.ec.fits: ap = 37, w1 = 6438.785, w2 = 6302.967, dw = -0.08231, nw = 1651 130928.0028.ec.fits: ap = 38, w1 = 6367.251, w2 = 6232.945, dw = -0.0814, nw = 1651 130928.0028.ec.fits: ap = 39, w1 = 6297.29, w2 = 6164.461, dw = -0.0805, nw = 1651 130928.0028.ec.fits: ap = 40, w1 = 6228.849, w2 = 6097.466, dw = -0.07963, nw = 1651 130928.0028.ec.fits: ap = 41, w1 = 6161.88, w2 = 6031.912, dw = -0.07877, nw = 1651 130928.0028.ec.fits: ap = 42, w1 = 6096.336, w2 = 5967.752, dw = -0.07793, nw = 1651 130928.0028.ec.fits: ap = 43, w1 = 6032.172, w2 = 5904.944, dw = -0.07711, nw = 1651 130928.0028.ec.fits: ap = 44, w1 = 5969.345, w2 = 5843.444, dw = -0.0763, nw = 1651 130928.0028.ec.fits: ap = 45, w1 = 5907.814, w2 = 5783.212, dw = -0.07552, nw = 1651 130928.0028.ec.fits: ap = 46, w1 = 5847.538, w2 = 5724.21, dw = -0.07474, nw = 1651 130928.0028.ec.fits: ap = 47, w1 = 5788.48, w2 = 5666.399, dw = -0.07399, nw = 1651 130928.0028.ec.fits: ap = 48, w1 = 5730.603, w2 = 5609.745, dw = -0.07325, nw = 1651 130928.0028.ec.fits: ap = 49, w1 = 5673.872, w2 = 5554.213, dw = -0.07252, nw = 1651 130928.0028.ec.fits: ap = 50, w1 = 5618.254, w2 = 5499.77, dw = -0.07181, nw = 1651 130928.0028.ec.fits: ap = 51, w1 = 5563.716, w2 = 5446.384, dw = -0.07111, nw = 1651 130928.0028.ec.fits: ap = 52, w1 = 5510.226, w2 = 5394.025, dw = -0.07043, nw = 1651 130928.0028.ec.fits: ap = 53, w1 = 5457.756, w2 = 5342.663, dw = -0.06975, nw = 1651 130928.0028.ec.fits: ap = 54, w1 = 5406.276, w2 = 5292.27, dw = -0.06909, nw = 1651 130928.0028.ec.fits: ap = 55, w1 = 5355.758, w2 = 5242.82, dw = -0.06845, nw = 1651 130928.0028.ec.fits: ap = 56, w1 = 5306.175, w2 = 5194.285, dw = -0.06781, nw = 1651 130928.0028.ec.fits: ap = 57, w1 = 5257.503, w2 = 5146.641, dw = -0.06719, nw = 1651 130928.0028.ec.fits: ap = 58, w1 = 5209.715, w2 = 5099.863, dw = -0.06658, nw = 1651 130928.0028.ec.fits: ap = 59, w1 = 5162.789, w2 = 5053.928, dw = -0.06598, nw = 1651 130928.0028.ec.fits: ap = 60, w1 = 5116.701, w2 = 5008.814, dw = -0.06539, nw = 1651 130928.0028.ec.fits: ap = 61, w1 = 5071.428, w2 = 4964.498, dw = -0.06481, nw = 1651 130928.0028.ec.fits: ap = 62, w1 = 5026.95, w2 = 4920.959, dw = -0.06424, nw = 1651 130928.0028.ec.fits: ap = 63, w1 = 4983.245, w2 = 4878.178, dw = -0.06368, nw = 1651 130928.0028.ec.fits: ap = 64, w1 = 4940.295, w2 = 4836.135, dw = -0.06313, nw = 1651 130928.0028.ec.fits: ap = 65, w1 = 4898.078, w2 = 4794.81, dw = -0.06259, nw = 1651 130928.0028.ec.fits: ap = 66, w1 = 4856.577, w2 = 4754.186, dw = -0.06206, nw = 1651 130928.0028.ec.fits: ap = 67, w1 = 4815.774, w2 = 4714.245, dw = -0.06153, nw = 1651 130928.0028.ec.fits: ap = 68, w1 = 4775.65, w2 = 4674.969, dw = -0.06102, nw = 1651 130928.0028.ec.fits: ap = 69, w1 = 4736.19, w2 = 4636.343, dw = -0.06051, nw = 1651 130928.0028.ec.fits: ap = 70, w1 = 4697.377, w2 = 4598.35, dw = -0.06002, nw = 1651 130928.0028.ec.fits: ap = 71, w1 = 4659.196, w2 = 4560.975, dw = -0.05953, nw = 1651 130928.0028.ec.fits: ap = 72, w1 = 4621.63, w2 = 4524.202, dw = -0.05905, nw = 1651 130928.0028.ec.fits: ap = 73, w1 = 4584.664, w2 = 4488.018, dw = -0.05857, nw = 1651 130928.0028.ec.fits: ap = 74, w1 = 4548.287, w2 = 4452.408, dw = -0.05811, nw = 1651 130928.0028.ec.fits: ap = 75, w1 = 4512.482, w2 = 4417.36, dw = -0.05765, nw = 1651 130928.0028.ec.fits: ap = 76, w1 = 4477.237, w2 = 4382.859, dw = -0.0572, nw = 1651 130928.0028.ec.fits: ap = 77, w1 = 4442.538, w2 = 4348.893, dw = -0.05675, nw = 1651 130928.0028.ec.fits: ap = 78, w1 = 4408.373, w2 = 4315.45, dw = -0.05632, nw = 1651 130928.0028.ec.fits: ap = 79, w1 = 4374.73, w2 = 4282.517, dw = -0.05589, nw = 1651 130928.0028.ec.fits: ap = 80, w1 = 4341.597, w2 = 4250.083, dw = -0.05546, nw = 1651 130928.0028.ec.fits: ap = 81, w1 = 4308.962, w2 = 4218.137, dw = -0.05504, nw = 1651 130928.0028.ec.fits: ap = 82, w1 = 4276.814, w2 = 4186.668, dw = -0.05463, nw = 1651 130928.0028.ec.fits: ap = 83, w1 = 4245.142, w2 = 4155.665, dw = -0.05423, nw = 1651 130928.0028.ec.fits: ap = 84, w1 = 4213.937, w2 = 4125.118, dw = -0.05383, nw = 1651 130928.0028.ec.fits: ap = 85, w1 = 4183.187, w2 = 4095.017, dw = -0.05344, nw = 1651 130928.0028.ec.fits: ap = 86, w1 = 4152.882, w2 = 4065.353, dw = -0.05305, nw = 1651 130928.0028.ec.fits: ap = 87, w1 = 4123.014, w2 = 4036.115, dw = -0.05267, nw = 1651 130928.0028.ec.fits: ap = 88, w1 = 4093.573, w2 = 4007.295, dw = -0.05229, nw = 1651 130928.0028.ec.fits: ap = 89, w1 = 4064.549, w2 = 3978.883, dw = -0.05192, nw = 1651 130928.0028.ec.fits: ap = 90, w1 = 4035.934, w2 = 3950.872, dw = -0.05155, nw = 1651 130928.0028.ec.fits: ap = 91, w1 = 4007.721, w2 = 3923.253, dw = -0.05119, nw = 1651 130928.0028.ec.fits: ap = 92, w1 = 3979.898, w2 = 3896.017, dw = -0.05084, nw = 1651 130928.0028.ec.fits: ap = 93, w1 = 3952.46, w2 = 3869.157, dw = -0.05049, nw = 1651 130928.0028.ec.fits: ap = 94, w1 = 3925.397, w2 = 3842.665, dw = -0.05014, nw = 1651 130928.0028.ec.fits: ap = 95, w1 = 3898.702, w2 = 3816.533, dw = -0.0498, nw = 1651 130928.0028.ec.fits: ap = 96, w1 = 3872.369, w2 = 3790.754, dw = -0.04946, nw = 1651 130928.0028.ec.fits: ap = 97, w1 = 3846.389, w2 = 3765.321, dw = -0.04913, nw = 1651 130928.0028.ec.fits: ap = 98, w1 = 3820.755, w2 = 3740.228, dw = -0.0488, nw = 1651 130928.0028.ec.fits: ap = 99, w1 = 3795.461, w2 = 3715.466, dw = -0.04848, nw = 1651 130928.0028.ec.fits: ap = 100, w1 = 3770.5, w2 = 3691.031, dw = -0.04816, nw = 1651 130928.0028.ec.fits: ap = 101, w1 = 3745.865, w2 = 3666.915, dw = -0.04785, nw = 1651 130928.0028.ec.fits: ap = 102, w1 = 3721.551, w2 = 3643.112, dw = -0.04754, nw = 1651 130928.0028.ec.fits: ap = 103, w1 = 3697.55, w2 = 3619.616, dw = -0.04723, nw = 1651 130928.0028.ec.fits: ap = 104, w1 = 3673.857, w2 = 3596.421, dw = -0.04693, nw = 1651 130928.0028.ec.fits: ap = 105, w1 = 3650.466, w2 = 3573.521, dw = -0.04663, nw = 1651 130928.0028.ec.fits: ap = 106, w1 = 3627.371, w2 = 3550.912, dw = -0.04634, nw = 1651 130928.0028.ec.fits: ap = 107, w1 = 3604.566, w2 = 3528.586, dw = -0.04605, nw = 1651 130928.0028.ec.fits: ap = 108, w1 = 3582.047, w2 = 3506.54, dw = -0.04576, nw = 1651 130928.0028.ec.fits: ap = 109, w1 = 3559.807, w2 = 3484.767, dw = -0.04548, nw = 1651 130928.0028.ec.fits: ap = 110, w1 = 3537.842, w2 = 3463.263, dw = -0.0452, nw = 1651 130928.0028.ec.fits: ap = 111, w1 = 3516.147, w2 = 3442.023, dw = -0.04492, nw = 1651 130928.0028.ec.fits: ap = 112, w1 = 3494.716, w2 = 3421.042, dw = -0.04465, nw = 1651 130928.0028.ec.fits: ap = 113, w1 = 3473.545, w2 = 3400.315, dw = -0.04438, nw = 1651 130928.0028.ec.fits: ap = 114, w1 = 3452.629, w2 = 3379.838, dw = -0.04412, nw = 1651 130928.0028.ec.fits: ap = 115, w1 = 3431.964, w2 = 3359.605, dw = -0.04385, nw = 1651 130928.0029.ec.fits: REFSPEC1 = 'ThAr.0026.ec 0.49864689' 130928.0029.ec.fits: REFSPEC2 = 'ThAr.0032.ec 0.50135314' 130928.0029.ec.fits: ap = 1, w1 = 10811.77, w2 = 10583.58, dw = -0.1383, nw = 1651 130928.0029.ec.fits: ap = 2, w1 = 10611.57, w2 = 10387.61, dw = -0.13573, nw = 1651 130928.0029.ec.fits: ap = 3, w1 = 10418.65, w2 = 10198.76, dw = -0.13326, nw = 1651 130928.0029.ec.fits: ap = 4, w1 = 10232.62, w2 = 10016.66, dw = -0.13088, nw = 1651 130928.0029.ec.fits: ap = 5, w1 = 10053.11, w2 = 9840.95, dw = -0.12858, nw = 1651 130928.0029.ec.fits: ap = 6, w1 = 9879.8, w2 = 9671.297, dw = -0.12637, nw = 1651 130928.0029.ec.fits: ap = 7, w1 = 9712.36, w2 = 9507.394, dw = -0.12422, nw = 1651 130928.0029.ec.fits: ap = 8, w1 = 9550.502, w2 = 9348.955, dw = -0.12215, nw = 1651 130928.0029.ec.fits: ap = 9, w1 = 9393.95, w2 = 9195.711, dw = -0.12014, nw = 1651 130928.0029.ec.fits: ap = 10, w1 = 9242.448, w2 = 9047.409, dw = -0.11821, nw = 1651 130928.0029.ec.fits: ap = 11, w1 = 9095.756, w2 = 8903.816, dw = -0.11633, nw = 1651 130928.0029.ec.fits: ap = 12, w1 = 8953.647, w2 = 8764.709, dw = -0.11451, nw = 1651 130928.0029.ec.fits: ap = 13, w1 = 8815.911, w2 = 8629.882, dw = -0.11274, nw = 1651 130928.0029.ec.fits: ap = 14, w1 = 8682.348, w2 = 8499.141, dw = -0.11103, nw = 1651 130928.0029.ec.fits: ap = 15, w1 = 8552.773, w2 = 8372.302, dw = -0.10938, nw = 1651 130928.0029.ec.fits: ap = 16, w1 = 8427.008, w2 = 8249.194, dw = -0.10777, nw = 1651 130928.0029.ec.fits: ap = 17, w1 = 8304.888, w2 = 8129.653, dw = -0.1062, nw = 1651 130928.0029.ec.fits: ap = 18, w1 = 8186.258, w2 = 8013.528, dw = -0.10468, nw = 1651 130928.0029.ec.fits: ap = 19, w1 = 8070.969, w2 = 7900.675, dw = -0.10321, nw = 1651 130928.0029.ec.fits: ap = 20, w1 = 7958.882, w2 = 7790.955, dw = -0.10177, nw = 1651 130928.0029.ec.fits: ap = 21, w1 = 7849.866, w2 = 7684.242, dw = -0.10038, nw = 1651 130928.0029.ec.fits: ap = 22, w1 = 7743.797, w2 = 7580.413, dw = -0.09902, nw = 1651 130928.0029.ec.fits: ap = 23, w1 = 7640.555, w2 = 7479.353, dw = -0.0977, nw = 1651 130928.0029.ec.fits: ap = 24, w1 = 7540.032, w2 = 7380.952, dw = -0.09641, nw = 1651 130928.0029.ec.fits: ap = 25, w1 = 7442.119, w2 = 7285.107, dw = -0.09516, nw = 1651 130928.0029.ec.fits: ap = 26, w1 = 7346.716, w2 = 7191.719, dw = -0.09394, nw = 1651 130928.0029.ec.fits: ap = 27, w1 = 7253.729, w2 = 7100.696, dw = -0.09275, nw = 1651 130928.0029.ec.fits: ap = 28, w1 = 7163.066, w2 = 7011.948, dw = -0.09159, nw = 1651 130928.0029.ec.fits: ap = 29, w1 = 7074.642, w2 = 6925.392, dw = -0.09045, nw = 1651 130928.0029.ec.fits: ap = 30, w1 = 6988.374, w2 = 6840.947, dw = -0.08935, nw = 1651 130928.0029.ec.fits: ap = 31, w1 = 6904.186, w2 = 6758.536, dw = -0.08827, nw = 1651 130928.0029.ec.fits: ap = 32, w1 = 6822.001, w2 = 6678.088, dw = -0.08722, nw = 1651 130928.0029.ec.fits: ap = 33, w1 = 6741.751, w2 = 6599.533, dw = -0.08619, nw = 1651 130928.0029.ec.fits: ap = 34, w1 = 6663.367, w2 = 6522.804, dw = -0.08519, nw = 1651 130928.0029.ec.fits: ap = 35, w1 = 6586.785, w2 = 6447.84, dw = -0.08421, nw = 1651 130928.0029.ec.fits: ap = 36, w1 = 6511.943, w2 = 6374.579, dw = -0.08325, nw = 1651 130928.0029.ec.fits: ap = 37, w1 = 6438.784, w2 = 6302.965, dw = -0.08231, nw = 1651 130928.0029.ec.fits: ap = 38, w1 = 6367.25, w2 = 6232.942, dw = -0.0814, nw = 1651 130928.0029.ec.fits: ap = 39, w1 = 6297.288, w2 = 6164.458, dw = -0.0805, nw = 1651 130928.0029.ec.fits: ap = 40, w1 = 6228.847, w2 = 6097.463, dw = -0.07963, nw = 1651 130928.0029.ec.fits: ap = 41, w1 = 6161.879, w2 = 6031.909, dw = -0.07877, nw = 1651 130928.0029.ec.fits: ap = 42, w1 = 6096.335, w2 = 5967.75, dw = -0.07793, nw = 1651 130928.0029.ec.fits: ap = 43, w1 = 6032.171, w2 = 5904.941, dw = -0.07711, nw = 1651 130928.0029.ec.fits: ap = 44, w1 = 5969.344, w2 = 5843.441, dw = -0.0763, nw = 1651 130928.0029.ec.fits: ap = 45, w1 = 5907.812, w2 = 5783.21, dw = -0.07552, nw = 1651 130928.0029.ec.fits: ap = 46, w1 = 5847.536, w2 = 5724.207, dw = -0.07474, nw = 1651 130928.0029.ec.fits: ap = 47, w1 = 5788.478, w2 = 5666.397, dw = -0.07399, nw = 1651 130928.0029.ec.fits: ap = 48, w1 = 5730.602, w2 = 5609.743, dw = -0.07325, nw = 1651 130928.0029.ec.fits: ap = 49, w1 = 5673.871, w2 = 5554.211, dw = -0.07252, nw = 1651 130928.0029.ec.fits: ap = 50, w1 = 5618.253, w2 = 5499.768, dw = -0.07181, nw = 1651 130928.0029.ec.fits: ap = 51, w1 = 5563.715, w2 = 5446.382, dw = -0.07111, nw = 1651 130928.0029.ec.fits: ap = 52, w1 = 5510.226, w2 = 5394.023, dw = -0.07043, nw = 1651 130928.0029.ec.fits: ap = 53, w1 = 5457.755, w2 = 5342.661, dw = -0.06975, nw = 1651 130928.0029.ec.fits: ap = 54, w1 = 5406.275, w2 = 5292.268, dw = -0.0691, nw = 1651 130928.0029.ec.fits: ap = 55, w1 = 5355.757, w2 = 5242.818, dw = -0.06845, nw = 1651 130928.0029.ec.fits: ap = 56, w1 = 5306.175, w2 = 5194.283, dw = -0.06781, nw = 1651 130928.0029.ec.fits: ap = 57, w1 = 5257.503, w2 = 5146.639, dw = -0.06719, nw = 1651 130928.0029.ec.fits: ap = 58, w1 = 5209.715, w2 = 5099.861, dw = -0.06658, nw = 1651 130928.0029.ec.fits: ap = 59, w1 = 5162.789, w2 = 5053.927, dw = -0.06598, nw = 1651 130928.0029.ec.fits: ap = 60, w1 = 5116.701, w2 = 5008.812, dw = -0.06539, nw = 1651 130928.0029.ec.fits: ap = 61, w1 = 5071.429, w2 = 4964.496, dw = -0.06481, nw = 1651 130928.0029.ec.fits: ap = 62, w1 = 5026.951, w2 = 4920.958, dw = -0.06424, nw = 1651 130928.0029.ec.fits: ap = 63, w1 = 4983.246, w2 = 4878.177, dw = -0.06368, nw = 1651 130928.0029.ec.fits: ap = 64, w1 = 4940.295, w2 = 4836.134, dw = -0.06313, nw = 1651 130928.0029.ec.fits: ap = 65, w1 = 4898.079, w2 = 4794.809, dw = -0.06259, nw = 1651 130928.0029.ec.fits: ap = 66, w1 = 4856.578, w2 = 4754.185, dw = -0.06206, nw = 1651 130928.0029.ec.fits: ap = 67, w1 = 4815.775, w2 = 4714.244, dw = -0.06153, nw = 1651 130928.0029.ec.fits: ap = 68, w1 = 4775.651, w2 = 4674.969, dw = -0.06102, nw = 1651 130928.0029.ec.fits: ap = 69, w1 = 4736.192, w2 = 4636.342, dw = -0.06051, nw = 1651 130928.0029.ec.fits: ap = 70, w1 = 4697.379, w2 = 4598.35, dw = -0.06002, nw = 1651 130928.0029.ec.fits: ap = 71, w1 = 4659.197, w2 = 4560.974, dw = -0.05953, nw = 1651 130928.0029.ec.fits: ap = 72, w1 = 4621.631, w2 = 4524.202, dw = -0.05905, nw = 1651 130928.0029.ec.fits: ap = 73, w1 = 4584.666, w2 = 4488.018, dw = -0.05857, nw = 1651 130928.0029.ec.fits: ap = 74, w1 = 4548.288, w2 = 4452.409, dw = -0.05811, nw = 1651 130928.0029.ec.fits: ap = 75, w1 = 4512.483, w2 = 4417.36, dw = -0.05765, nw = 1651 130928.0029.ec.fits: ap = 76, w1 = 4477.238, w2 = 4382.859, dw = -0.0572, nw = 1651 130928.0029.ec.fits: ap = 77, w1 = 4442.539, w2 = 4348.894, dw = -0.05675, nw = 1651 130928.0029.ec.fits: ap = 78, w1 = 4408.374, w2 = 4315.45, dw = -0.05632, nw = 1651 130928.0029.ec.fits: ap = 79, w1 = 4374.731, w2 = 4282.518, dw = -0.05589, nw = 1651 130928.0029.ec.fits: ap = 80, w1 = 4341.597, w2 = 4250.084, dw = -0.05546, nw = 1651 130928.0029.ec.fits: ap = 81, w1 = 4308.962, w2 = 4218.138, dw = -0.05504, nw = 1651 130928.0029.ec.fits: ap = 82, w1 = 4276.814, w2 = 4186.669, dw = -0.05463, nw = 1651 130928.0029.ec.fits: ap = 83, w1 = 4245.142, w2 = 4155.666, dw = -0.05423, nw = 1651 130928.0029.ec.fits: ap = 84, w1 = 4213.936, w2 = 4125.119, dw = -0.05383, nw = 1651 130928.0029.ec.fits: ap = 85, w1 = 4183.186, w2 = 4095.018, dw = -0.05344, nw = 1651 130928.0029.ec.fits: ap = 86, w1 = 4152.881, w2 = 4065.353, dw = -0.05305, nw = 1651 130928.0029.ec.fits: ap = 87, w1 = 4123.013, w2 = 4036.115, dw = -0.05267, nw = 1651 130928.0029.ec.fits: ap = 88, w1 = 4093.571, w2 = 4007.295, dw = -0.05229, nw = 1651 130928.0029.ec.fits: ap = 89, w1 = 4064.547, w2 = 3978.884, dw = -0.05192, nw = 1651 130928.0029.ec.fits: ap = 90, w1 = 4035.931, w2 = 3950.872, dw = -0.05155, nw = 1651 130928.0029.ec.fits: ap = 91, w1 = 4007.717, w2 = 3923.253, dw = -0.05119, nw = 1651 130928.0029.ec.fits: ap = 92, w1 = 3979.893, w2 = 3896.017, dw = -0.05083, nw = 1651 130928.0029.ec.fits: ap = 93, w1 = 3952.454, w2 = 3869.157, dw = -0.05048, nw = 1651 130928.0029.ec.fits: ap = 94, w1 = 3925.39, w2 = 3842.664, dw = -0.05014, nw = 1651 130928.0029.ec.fits: ap = 95, w1 = 3898.695, w2 = 3816.532, dw = -0.0498, nw = 1651 130928.0029.ec.fits: ap = 96, w1 = 3872.361, w2 = 3790.753, dw = -0.04946, nw = 1651 130928.0029.ec.fits: ap = 97, w1 = 3846.38, w2 = 3765.32, dw = -0.04913, nw = 1651 130928.0029.ec.fits: ap = 98, w1 = 3820.745, w2 = 3740.226, dw = -0.0488, nw = 1651 130928.0029.ec.fits: ap = 99, w1 = 3795.45, w2 = 3715.464, dw = -0.04848, nw = 1651 130928.0029.ec.fits: ap = 100, w1 = 3770.488, w2 = 3691.028, dw = -0.04816, nw = 1651 130928.0029.ec.fits: ap = 101, w1 = 3745.852, w2 = 3666.912, dw = -0.04784, nw = 1651 130928.0029.ec.fits: ap = 102, w1 = 3721.536, w2 = 3643.108, dw = -0.04753, nw = 1651 130928.0029.ec.fits: ap = 103, w1 = 3697.533, w2 = 3619.612, dw = -0.04723, nw = 1651 130928.0029.ec.fits: ap = 104, w1 = 3673.839, w2 = 3596.416, dw = -0.04692, nw = 1651 130928.0029.ec.fits: ap = 105, w1 = 3650.446, w2 = 3573.516, dw = -0.04662, nw = 1651 130928.0029.ec.fits: ap = 106, w1 = 3627.349, w2 = 3550.906, dw = -0.04633, nw = 1651 130928.0029.ec.fits: ap = 107, w1 = 3604.543, w2 = 3528.58, dw = -0.04604, nw = 1651 130928.0029.ec.fits: ap = 108, w1 = 3582.022, w2 = 3506.533, dw = -0.04575, nw = 1651 130928.0029.ec.fits: ap = 109, w1 = 3559.781, w2 = 3484.76, dw = -0.04547, nw = 1651 130928.0029.ec.fits: ap = 110, w1 = 3537.814, w2 = 3463.255, dw = -0.04519, nw = 1651 130928.0029.ec.fits: ap = 111, w1 = 3516.116, w2 = 3442.014, dw = -0.04491, nw = 1651 130928.0029.ec.fits: ap = 112, w1 = 3494.683, w2 = 3421.032, dw = -0.04464, nw = 1651 130928.0029.ec.fits: ap = 113, w1 = 3473.51, w2 = 3400.305, dw = -0.04437, nw = 1651 130928.0029.ec.fits: ap = 114, w1 = 3452.592, w2 = 3379.826, dw = -0.0441, nw = 1651 130928.0029.ec.fits: ap = 115, w1 = 3431.925, w2 = 3359.593, dw = -0.04384, nw = 1651 130928.0030.ec.fits: REFSPEC1 = 'ThAr.0026.ec 0.30930528' 130928.0030.ec.fits: REFSPEC2 = 'ThAr.0032.ec 0.69069475' 130928.0030.ec.fits: ap = 1, w1 = 10811.76, w2 = 10583.57, dw = -0.1383, nw = 1651 130928.0030.ec.fits: ap = 2, w1 = 10611.56, w2 = 10387.6, dw = -0.13573, nw = 1651 130928.0030.ec.fits: ap = 3, w1 = 10418.64, w2 = 10198.75, dw = -0.13326, nw = 1651 130928.0030.ec.fits: ap = 4, w1 = 10232.61, w2 = 10016.65, dw = -0.13088, nw = 1651 130928.0030.ec.fits: ap = 5, w1 = 10053.11, w2 = 9840.944, dw = -0.12858, nw = 1651 130928.0030.ec.fits: ap = 6, w1 = 9879.794, w2 = 9671.292, dw = -0.12637, nw = 1651 130928.0030.ec.fits: ap = 7, w1 = 9712.355, w2 = 9507.39, dw = -0.12422, nw = 1651 130928.0030.ec.fits: ap = 8, w1 = 9550.498, w2 = 9348.951, dw = -0.12215, nw = 1651 130928.0030.ec.fits: ap = 9, w1 = 9393.947, w2 = 9195.707, dw = -0.12015, nw = 1651 130928.0030.ec.fits: ap = 10, w1 = 9242.446, w2 = 9047.406, dw = -0.11821, nw = 1651 130928.0030.ec.fits: ap = 11, w1 = 9095.753, w2 = 8903.812, dw = -0.11633, nw = 1651 130928.0030.ec.fits: ap = 12, w1 = 8953.645, w2 = 8764.706, dw = -0.11451, nw = 1651 130928.0030.ec.fits: ap = 13, w1 = 8815.909, w2 = 8629.879, dw = -0.11275, nw = 1651 130928.0030.ec.fits: ap = 14, w1 = 8682.347, w2 = 8499.138, dw = -0.11104, nw = 1651 130928.0030.ec.fits: ap = 15, w1 = 8552.772, w2 = 8372.3, dw = -0.10938, nw = 1651 130928.0030.ec.fits: ap = 16, w1 = 8427.007, w2 = 8249.191, dw = -0.10777, nw = 1651 130928.0030.ec.fits: ap = 17, w1 = 8304.887, w2 = 8129.651, dw = -0.1062, nw = 1651 130928.0030.ec.fits: ap = 18, w1 = 8186.257, w2 = 8013.526, dw = -0.10469, nw = 1651 130928.0030.ec.fits: ap = 19, w1 = 8070.968, w2 = 7900.673, dw = -0.10321, nw = 1651 130928.0030.ec.fits: ap = 20, w1 = 7958.881, w2 = 7790.954, dw = -0.10177, nw = 1651 130928.0030.ec.fits: ap = 21, w1 = 7849.865, w2 = 7684.24, dw = -0.10038, nw = 1651 130928.0030.ec.fits: ap = 22, w1 = 7743.796, w2 = 7580.411, dw = -0.09902, nw = 1651 130928.0030.ec.fits: ap = 23, w1 = 7640.555, w2 = 7479.351, dw = -0.0977, nw = 1651 130928.0030.ec.fits: ap = 24, w1 = 7540.031, w2 = 7380.95, dw = -0.09641, nw = 1651 130928.0030.ec.fits: ap = 25, w1 = 7442.118, w2 = 7285.105, dw = -0.09516, nw = 1651 130928.0030.ec.fits: ap = 26, w1 = 7346.715, w2 = 7191.717, dw = -0.09394, nw = 1651 130928.0030.ec.fits: ap = 27, w1 = 7253.728, w2 = 7100.694, dw = -0.09275, nw = 1651 130928.0030.ec.fits: ap = 28, w1 = 7163.065, w2 = 7011.946, dw = -0.09159, nw = 1651 130928.0030.ec.fits: ap = 29, w1 = 7074.641, w2 = 6925.39, dw = -0.09046, nw = 1651 130928.0030.ec.fits: ap = 30, w1 = 6988.373, w2 = 6840.944, dw = -0.08935, nw = 1651 130928.0030.ec.fits: ap = 31, w1 = 6904.184, w2 = 6758.534, dw = -0.08827, nw = 1651 130928.0030.ec.fits: ap = 32, w1 = 6822., w2 = 6678.085, dw = -0.08722, nw = 1651 130928.0030.ec.fits: ap = 33, w1 = 6741.75, w2 = 6599.53, dw = -0.08619, nw = 1651 130928.0030.ec.fits: ap = 34, w1 = 6663.366, w2 = 6522.802, dw = -0.08519, nw = 1651 130928.0030.ec.fits: ap = 35, w1 = 6586.783, w2 = 6447.837, dw = -0.08421, nw = 1651 130928.0030.ec.fits: ap = 36, w1 = 6511.942, w2 = 6374.576, dw = -0.08325, nw = 1651 130928.0030.ec.fits: ap = 37, w1 = 6438.782, w2 = 6302.962, dw = -0.08232, nw = 1651 130928.0030.ec.fits: ap = 38, w1 = 6367.248, w2 = 6232.939, dw = -0.0814, nw = 1651 130928.0030.ec.fits: ap = 39, w1 = 6297.287, w2 = 6164.455, dw = -0.0805, nw = 1651 130928.0030.ec.fits: ap = 40, w1 = 6228.846, w2 = 6097.46, dw = -0.07963, nw = 1651 130928.0030.ec.fits: ap = 41, w1 = 6161.877, w2 = 6031.906, dw = -0.07877, nw = 1651 130928.0030.ec.fits: ap = 42, w1 = 6096.333, w2 = 5967.747, dw = -0.07793, nw = 1651 130928.0030.ec.fits: ap = 43, w1 = 6032.169, w2 = 5904.939, dw = -0.07711, nw = 1651 130928.0030.ec.fits: ap = 44, w1 = 5969.342, w2 = 5843.439, dw = -0.07631, nw = 1651 130928.0030.ec.fits: ap = 45, w1 = 5907.811, w2 = 5783.207, dw = -0.07552, nw = 1651 130928.0030.ec.fits: ap = 46, w1 = 5847.535, w2 = 5724.205, dw = -0.07475, nw = 1651 130928.0030.ec.fits: ap = 47, w1 = 5788.477, w2 = 5666.394, dw = -0.07399, nw = 1651 130928.0030.ec.fits: ap = 48, w1 = 5730.601, w2 = 5609.74, dw = -0.07325, nw = 1651 130928.0030.ec.fits: ap = 49, w1 = 5673.87, w2 = 5554.208, dw = -0.07252, nw = 1651 130928.0030.ec.fits: ap = 50, w1 = 5618.252, w2 = 5499.765, dw = -0.07181, nw = 1651 130928.0030.ec.fits: ap = 51, w1 = 5563.714, w2 = 5446.379, dw = -0.07111, nw = 1651 130928.0030.ec.fits: ap = 52, w1 = 5510.225, w2 = 5394.02, dw = -0.07043, nw = 1651 130928.0030.ec.fits: ap = 53, w1 = 5457.755, w2 = 5342.659, dw = -0.06976, nw = 1651 130928.0030.ec.fits: ap = 54, w1 = 5406.275, w2 = 5292.266, dw = -0.0691, nw = 1651 130928.0030.ec.fits: ap = 55, w1 = 5355.757, w2 = 5242.816, dw = -0.06845, nw = 1651 130928.0030.ec.fits: ap = 56, w1 = 5306.175, w2 = 5194.281, dw = -0.06781, nw = 1651 130928.0030.ec.fits: ap = 57, w1 = 5257.503, w2 = 5146.637, dw = -0.06719, nw = 1651 130928.0030.ec.fits: ap = 58, w1 = 5209.715, w2 = 5099.86, dw = -0.06658, nw = 1651 130928.0030.ec.fits: ap = 59, w1 = 5162.789, w2 = 5053.925, dw = -0.06598, nw = 1651 130928.0030.ec.fits: ap = 60, w1 = 5116.701, w2 = 5008.811, dw = -0.06539, nw = 1651 130928.0030.ec.fits: ap = 61, w1 = 5071.429, w2 = 4964.495, dw = -0.06481, nw = 1651 130928.0030.ec.fits: ap = 62, w1 = 5026.951, w2 = 4920.957, dw = -0.06424, nw = 1651 130928.0030.ec.fits: ap = 63, w1 = 4983.247, w2 = 4878.176, dw = -0.06368, nw = 1651 130928.0030.ec.fits: ap = 64, w1 = 4940.296, w2 = 4836.133, dw = -0.06313, nw = 1651 130928.0030.ec.fits: ap = 65, w1 = 4898.08, w2 = 4794.808, dw = -0.06259, nw = 1651 130928.0030.ec.fits: ap = 66, w1 = 4856.579, w2 = 4754.185, dw = -0.06206, nw = 1651 130928.0030.ec.fits: ap = 67, w1 = 4815.776, w2 = 4714.243, dw = -0.06153, nw = 1651 130928.0030.ec.fits: ap = 68, w1 = 4775.653, w2 = 4674.968, dw = -0.06102, nw = 1651 130928.0030.ec.fits: ap = 69, w1 = 4736.193, w2 = 4636.342, dw = -0.06052, nw = 1651 130928.0030.ec.fits: ap = 70, w1 = 4697.38, w2 = 4598.349, dw = -0.06002, nw = 1651 130928.0030.ec.fits: ap = 71, w1 = 4659.198, w2 = 4560.974, dw = -0.05953, nw = 1651 130928.0030.ec.fits: ap = 72, w1 = 4621.632, w2 = 4524.202, dw = -0.05905, nw = 1651 130928.0030.ec.fits: ap = 73, w1 = 4584.667, w2 = 4488.018, dw = -0.05858, nw = 1651 130928.0030.ec.fits: ap = 74, w1 = 4548.289, w2 = 4452.409, dw = -0.05811, nw = 1651 130928.0030.ec.fits: ap = 75, w1 = 4512.485, w2 = 4417.361, dw = -0.05765, nw = 1651 130928.0030.ec.fits: ap = 76, w1 = 4477.239, w2 = 4382.86, dw = -0.0572, nw = 1651 130928.0030.ec.fits: ap = 77, w1 = 4442.54, w2 = 4348.894, dw = -0.05676, nw = 1651 130928.0030.ec.fits: ap = 78, w1 = 4408.375, w2 = 4315.451, dw = -0.05632, nw = 1651 130928.0030.ec.fits: ap = 79, w1 = 4374.731, w2 = 4282.518, dw = -0.05589, nw = 1651 130928.0030.ec.fits: ap = 80, w1 = 4341.598, w2 = 4250.085, dw = -0.05546, nw = 1651 130928.0030.ec.fits: ap = 81, w1 = 4308.962, w2 = 4218.139, dw = -0.05504, nw = 1651 130928.0030.ec.fits: ap = 82, w1 = 4276.814, w2 = 4186.67, dw = -0.05463, nw = 1651 130928.0030.ec.fits: ap = 83, w1 = 4245.142, w2 = 4155.667, dw = -0.05423, nw = 1651 130928.0030.ec.fits: ap = 84, w1 = 4213.936, w2 = 4125.12, dw = -0.05383, nw = 1651 130928.0030.ec.fits: ap = 85, w1 = 4183.185, w2 = 4095.019, dw = -0.05343, nw = 1651 130928.0030.ec.fits: ap = 86, w1 = 4152.88, w2 = 4065.354, dw = -0.05305, nw = 1651 130928.0030.ec.fits: ap = 87, w1 = 4123.011, w2 = 4036.116, dw = -0.05266, nw = 1651 130928.0030.ec.fits: ap = 88, w1 = 4093.569, w2 = 4007.296, dw = -0.05229, nw = 1651 130928.0030.ec.fits: ap = 89, w1 = 4064.544, w2 = 3978.884, dw = -0.05192, nw = 1651 130928.0030.ec.fits: ap = 90, w1 = 4035.928, w2 = 3950.872, dw = -0.05155, nw = 1651 130928.0030.ec.fits: ap = 91, w1 = 4007.712, w2 = 3923.253, dw = -0.05119, nw = 1651 130928.0030.ec.fits: ap = 92, w1 = 3979.889, w2 = 3896.017, dw = -0.05083, nw = 1651 130928.0030.ec.fits: ap = 93, w1 = 3952.448, w2 = 3869.156, dw = -0.05048, nw = 1651 130928.0030.ec.fits: ap = 94, w1 = 3925.384, w2 = 3842.664, dw = -0.05013, nw = 1651 130928.0030.ec.fits: ap = 95, w1 = 3898.688, w2 = 3816.531, dw = -0.04979, nw = 1651 130928.0030.ec.fits: ap = 96, w1 = 3872.352, w2 = 3790.752, dw = -0.04945, nw = 1651 130928.0030.ec.fits: ap = 97, w1 = 3846.37, w2 = 3765.319, dw = -0.04912, nw = 1651 130928.0030.ec.fits: ap = 98, w1 = 3820.735, w2 = 3740.224, dw = -0.04879, nw = 1651 130928.0030.ec.fits: ap = 99, w1 = 3795.439, w2 = 3715.462, dw = -0.04847, nw = 1651 130928.0030.ec.fits: ap = 100, w1 = 3770.475, w2 = 3691.026, dw = -0.04815, nw = 1651 130928.0030.ec.fits: ap = 101, w1 = 3745.838, w2 = 3666.909, dw = -0.04784, nw = 1651 130928.0030.ec.fits: ap = 102, w1 = 3721.521, w2 = 3643.105, dw = -0.04752, nw = 1651 130928.0030.ec.fits: ap = 103, w1 = 3697.517, w2 = 3619.608, dw = -0.04722, nw = 1651 130928.0030.ec.fits: ap = 104, w1 = 3673.821, w2 = 3596.412, dw = -0.04691, nw = 1651 130928.0030.ec.fits: ap = 105, w1 = 3650.427, w2 = 3573.512, dw = -0.04662, nw = 1651 130928.0030.ec.fits: ap = 106, w1 = 3627.328, w2 = 3550.901, dw = -0.04632, nw = 1651 130928.0030.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.574, dw = -0.04603, nw = 1651 130928.0030.ec.fits: ap = 108, w1 = 3581.997, w2 = 3506.527, dw = -0.04574, nw = 1651 130928.0030.ec.fits: ap = 109, w1 = 3559.754, w2 = 3484.753, dw = -0.04546, nw = 1651 130928.0030.ec.fits: ap = 110, w1 = 3537.785, w2 = 3463.247, dw = -0.04517, nw = 1651 130928.0030.ec.fits: ap = 111, w1 = 3516.086, w2 = 3442.006, dw = -0.0449, nw = 1651 130928.0030.ec.fits: ap = 112, w1 = 3494.651, w2 = 3421.023, dw = -0.04462, nw = 1651 130928.0030.ec.fits: ap = 113, w1 = 3473.475, w2 = 3400.294, dw = -0.04435, nw = 1651 130928.0030.ec.fits: ap = 114, w1 = 3452.555, w2 = 3379.815, dw = -0.04409, nw = 1651 130928.0030.ec.fits: ap = 115, w1 = 3431.885, w2 = 3359.58, dw = -0.04382, nw = 1651 130928.0031.ec.fits: REFSPEC1 = 'ThAr.0026.ec 0.11995109' 130928.0031.ec.fits: REFSPEC2 = 'ThAr.0032.ec 0.88004893' 130928.0031.ec.fits: ap = 1, w1 = 10811.74, w2 = 10583.56, dw = -0.1383, nw = 1651 130928.0031.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.59, dw = -0.13573, nw = 1651 130928.0031.ec.fits: ap = 3, w1 = 10418.63, w2 = 10198.75, dw = -0.13326, nw = 1651 130928.0031.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.65, dw = -0.13088, nw = 1651 130928.0031.ec.fits: ap = 5, w1 = 10053.1, w2 = 9840.938, dw = -0.12858, nw = 1651 130928.0031.ec.fits: ap = 6, w1 = 9879.789, w2 = 9671.286, dw = -0.12637, nw = 1651 130928.0031.ec.fits: ap = 7, w1 = 9712.351, w2 = 9507.385, dw = -0.12422, nw = 1651 130928.0031.ec.fits: ap = 8, w1 = 9550.494, w2 = 9348.947, dw = -0.12215, nw = 1651 130928.0031.ec.fits: ap = 9, w1 = 9393.944, w2 = 9195.703, dw = -0.12015, nw = 1651 130928.0031.ec.fits: ap = 10, w1 = 9242.443, w2 = 9047.402, dw = -0.11821, nw = 1651 130928.0031.ec.fits: ap = 11, w1 = 9095.751, w2 = 8903.809, dw = -0.11633, nw = 1651 130928.0031.ec.fits: ap = 12, w1 = 8953.643, w2 = 8764.703, dw = -0.11451, nw = 1651 130928.0031.ec.fits: ap = 13, w1 = 8815.908, w2 = 8629.877, dw = -0.11275, nw = 1651 130928.0031.ec.fits: ap = 14, w1 = 8682.346, w2 = 8499.136, dw = -0.11104, nw = 1651 130928.0031.ec.fits: ap = 15, w1 = 8552.77, w2 = 8372.297, dw = -0.10938, nw = 1651 130928.0031.ec.fits: ap = 16, w1 = 8427.006, w2 = 8249.189, dw = -0.10777, nw = 1651 130928.0031.ec.fits: ap = 17, w1 = 8304.887, w2 = 8129.649, dw = -0.1062, nw = 1651 130928.0031.ec.fits: ap = 18, w1 = 8186.256, w2 = 8013.524, dw = -0.10469, nw = 1651 130928.0031.ec.fits: ap = 19, w1 = 8070.967, w2 = 7900.671, dw = -0.10321, nw = 1651 130928.0031.ec.fits: ap = 20, w1 = 7958.881, w2 = 7790.952, dw = -0.10178, nw = 1651 130928.0031.ec.fits: ap = 21, w1 = 7849.865, w2 = 7684.238, dw = -0.10038, nw = 1651 130928.0031.ec.fits: ap = 22, w1 = 7743.795, w2 = 7580.409, dw = -0.09902, nw = 1651 130928.0031.ec.fits: ap = 23, w1 = 7640.554, w2 = 7479.349, dw = -0.0977, nw = 1651 130928.0031.ec.fits: ap = 24, w1 = 7540.03, w2 = 7380.948, dw = -0.09641, nw = 1651 130928.0031.ec.fits: ap = 25, w1 = 7442.117, w2 = 7285.103, dw = -0.09516, nw = 1651 130928.0031.ec.fits: ap = 26, w1 = 7346.714, w2 = 7191.715, dw = -0.09394, nw = 1651 130928.0031.ec.fits: ap = 27, w1 = 7253.727, w2 = 7100.692, dw = -0.09275, nw = 1651 130928.0031.ec.fits: ap = 28, w1 = 7163.064, w2 = 7011.944, dw = -0.09159, nw = 1651 130928.0031.ec.fits: ap = 29, w1 = 7074.639, w2 = 6925.387, dw = -0.09046, nw = 1651 130928.0031.ec.fits: ap = 30, w1 = 6988.372, w2 = 6840.942, dw = -0.08935, nw = 1651 130928.0031.ec.fits: ap = 31, w1 = 6904.183, w2 = 6758.531, dw = -0.08827, nw = 1651 130928.0031.ec.fits: ap = 32, w1 = 6821.999, w2 = 6678.083, dw = -0.08722, nw = 1651 130928.0031.ec.fits: ap = 33, w1 = 6741.748, w2 = 6599.528, dw = -0.08619, nw = 1651 130928.0031.ec.fits: ap = 34, w1 = 6663.364, w2 = 6522.799, dw = -0.08519, nw = 1651 130928.0031.ec.fits: ap = 35, w1 = 6586.782, w2 = 6447.835, dw = -0.08421, nw = 1651 130928.0031.ec.fits: ap = 36, w1 = 6511.94, w2 = 6374.574, dw = -0.08325, nw = 1651 130928.0031.ec.fits: ap = 37, w1 = 6438.781, w2 = 6302.959, dw = -0.08232, nw = 1651 130928.0031.ec.fits: ap = 38, w1 = 6367.247, w2 = 6232.937, dw = -0.0814, nw = 1651 130928.0031.ec.fits: ap = 39, w1 = 6297.285, w2 = 6164.453, dw = -0.0805, nw = 1651 130928.0031.ec.fits: ap = 40, w1 = 6228.844, w2 = 6097.458, dw = -0.07963, nw = 1651 130928.0031.ec.fits: ap = 41, w1 = 6161.876, w2 = 6031.904, dw = -0.07877, nw = 1651 130928.0031.ec.fits: ap = 42, w1 = 6096.332, w2 = 5967.744, dw = -0.07793, nw = 1651 130928.0031.ec.fits: ap = 43, w1 = 6032.168, w2 = 5904.936, dw = -0.07711, nw = 1651 130928.0031.ec.fits: ap = 44, w1 = 5969.341, w2 = 5843.436, dw = -0.07631, nw = 1651 130928.0031.ec.fits: ap = 45, w1 = 5907.81, w2 = 5783.204, dw = -0.07552, nw = 1651 130928.0031.ec.fits: ap = 46, w1 = 5847.534, w2 = 5724.202, dw = -0.07475, nw = 1651 130928.0031.ec.fits: ap = 47, w1 = 5788.476, w2 = 5666.392, dw = -0.07399, nw = 1651 130928.0031.ec.fits: ap = 48, w1 = 5730.599, w2 = 5609.738, dw = -0.07325, nw = 1651 130928.0031.ec.fits: ap = 49, w1 = 5673.869, w2 = 5554.206, dw = -0.07252, nw = 1651 130928.0031.ec.fits: ap = 50, w1 = 5618.251, w2 = 5499.763, dw = -0.07181, nw = 1651 130928.0031.ec.fits: ap = 51, w1 = 5563.713, w2 = 5446.377, dw = -0.07111, nw = 1651 130928.0031.ec.fits: ap = 52, w1 = 5510.224, w2 = 5394.018, dw = -0.07043, nw = 1651 130928.0031.ec.fits: ap = 53, w1 = 5457.754, w2 = 5342.657, dw = -0.06976, nw = 1651 130928.0031.ec.fits: ap = 54, w1 = 5406.274, w2 = 5292.264, dw = -0.0691, nw = 1651 130928.0031.ec.fits: ap = 55, w1 = 5355.757, w2 = 5242.814, dw = -0.06845, nw = 1651 130928.0031.ec.fits: ap = 56, w1 = 5306.175, w2 = 5194.279, dw = -0.06782, nw = 1651 130928.0031.ec.fits: ap = 57, w1 = 5257.502, w2 = 5146.635, dw = -0.06719, nw = 1651 130928.0031.ec.fits: ap = 58, w1 = 5209.715, w2 = 5099.858, dw = -0.06658, nw = 1651 130928.0031.ec.fits: ap = 59, w1 = 5162.789, w2 = 5053.923, dw = -0.06598, nw = 1651 130928.0031.ec.fits: ap = 60, w1 = 5116.702, w2 = 5008.809, dw = -0.06539, nw = 1651 130928.0031.ec.fits: ap = 61, w1 = 5071.429, w2 = 4964.494, dw = -0.06481, nw = 1651 130928.0031.ec.fits: ap = 62, w1 = 5026.952, w2 = 4920.956, dw = -0.06424, nw = 1651 130928.0031.ec.fits: ap = 63, w1 = 4983.247, w2 = 4878.175, dw = -0.06368, nw = 1651 130928.0031.ec.fits: ap = 64, w1 = 4940.297, w2 = 4836.132, dw = -0.06313, nw = 1651 130928.0031.ec.fits: ap = 65, w1 = 4898.081, w2 = 4794.808, dw = -0.06259, nw = 1651 130928.0031.ec.fits: ap = 66, w1 = 4856.58, w2 = 4754.184, dw = -0.06206, nw = 1651 130928.0031.ec.fits: ap = 67, w1 = 4815.777, w2 = 4714.243, dw = -0.06154, nw = 1651 130928.0031.ec.fits: ap = 68, w1 = 4775.654, w2 = 4674.968, dw = -0.06102, nw = 1651 130928.0031.ec.fits: ap = 69, w1 = 4736.194, w2 = 4636.342, dw = -0.06052, nw = 1651 130928.0031.ec.fits: ap = 70, w1 = 4697.381, w2 = 4598.349, dw = -0.06002, nw = 1651 130928.0031.ec.fits: ap = 71, w1 = 4659.199, w2 = 4560.974, dw = -0.05953, nw = 1651 130928.0031.ec.fits: ap = 72, w1 = 4621.634, w2 = 4524.202, dw = -0.05905, nw = 1651 130928.0031.ec.fits: ap = 73, w1 = 4584.669, w2 = 4488.019, dw = -0.05858, nw = 1651 130928.0031.ec.fits: ap = 74, w1 = 4548.291, w2 = 4452.409, dw = -0.05811, nw = 1651 130928.0031.ec.fits: ap = 75, w1 = 4512.486, w2 = 4417.361, dw = -0.05765, nw = 1651 130928.0031.ec.fits: ap = 76, w1 = 4477.24, w2 = 4382.86, dw = -0.0572, nw = 1651 130928.0031.ec.fits: ap = 77, w1 = 4442.541, w2 = 4348.895, dw = -0.05676, nw = 1651 130928.0031.ec.fits: ap = 78, w1 = 4408.376, w2 = 4315.451, dw = -0.05632, nw = 1651 130928.0031.ec.fits: ap = 79, w1 = 4374.732, w2 = 4282.519, dw = -0.05589, nw = 1651 130928.0031.ec.fits: ap = 80, w1 = 4341.598, w2 = 4250.085, dw = -0.05546, nw = 1651 130928.0031.ec.fits: ap = 81, w1 = 4308.963, w2 = 4218.139, dw = -0.05504, nw = 1651 130928.0031.ec.fits: ap = 82, w1 = 4276.814, w2 = 4186.67, dw = -0.05463, nw = 1651 130928.0031.ec.fits: ap = 83, w1 = 4245.142, w2 = 4155.667, dw = -0.05423, nw = 1651 130928.0031.ec.fits: ap = 84, w1 = 4213.935, w2 = 4125.12, dw = -0.05383, nw = 1651 130928.0031.ec.fits: ap = 85, w1 = 4183.184, w2 = 4095.019, dw = -0.05343, nw = 1651 130928.0031.ec.fits: ap = 86, w1 = 4152.879, w2 = 4065.355, dw = -0.05304, nw = 1651 130928.0031.ec.fits: ap = 87, w1 = 4123.009, w2 = 4036.116, dw = -0.05266, nw = 1651 130928.0031.ec.fits: ap = 88, w1 = 4093.566, w2 = 4007.296, dw = -0.05229, nw = 1651 130928.0031.ec.fits: ap = 89, w1 = 4064.541, w2 = 3978.884, dw = -0.05191, nw = 1651 130928.0031.ec.fits: ap = 90, w1 = 4035.925, w2 = 3950.873, dw = -0.05155, nw = 1651 130928.0031.ec.fits: ap = 91, w1 = 4007.708, w2 = 3923.253, dw = -0.05119, nw = 1651 130928.0031.ec.fits: ap = 92, w1 = 3979.884, w2 = 3896.017, dw = -0.05083, nw = 1651 130928.0031.ec.fits: ap = 93, w1 = 3952.443, w2 = 3869.156, dw = -0.05048, nw = 1651 130928.0031.ec.fits: ap = 94, w1 = 3925.378, w2 = 3842.663, dw = -0.05013, nw = 1651 130928.0031.ec.fits: ap = 95, w1 = 3898.681, w2 = 3816.53, dw = -0.04979, nw = 1651 130928.0031.ec.fits: ap = 96, w1 = 3872.344, w2 = 3790.751, dw = -0.04945, nw = 1651 130928.0031.ec.fits: ap = 97, w1 = 3846.361, w2 = 3765.317, dw = -0.04912, nw = 1651 130928.0031.ec.fits: ap = 98, w1 = 3820.725, w2 = 3740.223, dw = -0.04879, nw = 1651 130928.0031.ec.fits: ap = 99, w1 = 3795.427, w2 = 3715.46, dw = -0.04846, nw = 1651 130928.0031.ec.fits: ap = 100, w1 = 3770.463, w2 = 3691.024, dw = -0.04814, nw = 1651 130928.0031.ec.fits: ap = 101, w1 = 3745.824, w2 = 3666.906, dw = -0.04783, nw = 1651 130928.0031.ec.fits: ap = 102, w1 = 3721.506, w2 = 3643.102, dw = -0.04752, nw = 1651 130928.0031.ec.fits: ap = 103, w1 = 3697.5, w2 = 3619.604, dw = -0.04721, nw = 1651 130928.0031.ec.fits: ap = 104, w1 = 3673.803, w2 = 3596.408, dw = -0.04691, nw = 1651 130928.0031.ec.fits: ap = 105, w1 = 3650.407, w2 = 3573.507, dw = -0.04661, nw = 1651 130928.0031.ec.fits: ap = 106, w1 = 3627.307, w2 = 3550.895, dw = -0.04631, nw = 1651 130928.0031.ec.fits: ap = 107, w1 = 3604.497, w2 = 3528.568, dw = -0.04602, nw = 1651 130928.0031.ec.fits: ap = 108, w1 = 3581.973, w2 = 3506.52, dw = -0.04573, nw = 1651 130928.0031.ec.fits: ap = 109, w1 = 3559.728, w2 = 3484.745, dw = -0.04544, nw = 1651 130928.0031.ec.fits: ap = 110, w1 = 3537.757, w2 = 3463.239, dw = -0.04516, nw = 1651 130928.0031.ec.fits: ap = 111, w1 = 3516.055, w2 = 3441.997, dw = -0.04488, nw = 1651 130928.0031.ec.fits: ap = 112, w1 = 3494.618, w2 = 3421.013, dw = -0.04461, nw = 1651 130928.0031.ec.fits: ap = 113, w1 = 3473.44, w2 = 3400.283, dw = -0.04434, nw = 1651 130928.0031.ec.fits: ap = 114, w1 = 3452.518, w2 = 3379.803, dw = -0.04407, nw = 1651 130928.0031.ec.fits: ap = 115, w1 = 3431.845, w2 = 3359.568, dw = -0.0438, nw = 1651 130928.0033.ec.fits: REFSPEC1 = 'ThAr.0032.ec 0.88005888' 130928.0033.ec.fits: REFSPEC2 = 'ThAr.0038.ec 0.11994109' 130928.0033.ec.fits: ap = 1, w1 = 10811.73, w2 = 10583.55, dw = -0.13829, nw = 1651 130928.0033.ec.fits: ap = 2, w1 = 10611.54, w2 = 10387.58, dw = -0.13573, nw = 1651 130928.0033.ec.fits: ap = 3, w1 = 10418.62, w2 = 10198.74, dw = -0.13326, nw = 1651 130928.0033.ec.fits: ap = 4, w1 = 10232.59, w2 = 10016.64, dw = -0.13088, nw = 1651 130928.0033.ec.fits: ap = 5, w1 = 10053.09, w2 = 9840.932, dw = -0.12858, nw = 1651 130928.0033.ec.fits: ap = 6, w1 = 9879.782, w2 = 9671.28, dw = -0.12636, nw = 1651 130928.0033.ec.fits: ap = 7, w1 = 9712.345, w2 = 9507.379, dw = -0.12422, nw = 1651 130928.0033.ec.fits: ap = 8, w1 = 9550.488, w2 = 9348.941, dw = -0.12215, nw = 1651 130928.0033.ec.fits: ap = 9, w1 = 9393.938, w2 = 9195.698, dw = -0.12015, nw = 1651 130928.0033.ec.fits: ap = 10, w1 = 9242.438, w2 = 9047.397, dw = -0.11821, nw = 1651 130928.0033.ec.fits: ap = 11, w1 = 9095.747, w2 = 8903.804, dw = -0.11633, nw = 1651 130928.0033.ec.fits: ap = 12, w1 = 8953.639, w2 = 8764.697, dw = -0.11451, nw = 1651 130928.0033.ec.fits: ap = 13, w1 = 8815.903, w2 = 8629.871, dw = -0.11275, nw = 1651 130928.0033.ec.fits: ap = 14, w1 = 8682.342, w2 = 8499.13, dw = -0.11104, nw = 1651 130928.0033.ec.fits: ap = 15, w1 = 8552.766, w2 = 8372.292, dw = -0.10938, nw = 1651 130928.0033.ec.fits: ap = 16, w1 = 8427.002, w2 = 8249.184, dw = -0.10777, nw = 1651 130928.0033.ec.fits: ap = 17, w1 = 8304.883, w2 = 8129.644, dw = -0.10621, nw = 1651 130928.0033.ec.fits: ap = 18, w1 = 8186.252, w2 = 8013.519, dw = -0.10469, nw = 1651 130928.0033.ec.fits: ap = 19, w1 = 8070.964, w2 = 7900.666, dw = -0.10321, nw = 1651 130928.0033.ec.fits: ap = 20, w1 = 7958.877, w2 = 7790.947, dw = -0.10178, nw = 1651 130928.0033.ec.fits: ap = 21, w1 = 7849.861, w2 = 7684.233, dw = -0.10038, nw = 1651 130928.0033.ec.fits: ap = 22, w1 = 7743.792, w2 = 7580.404, dw = -0.09902, nw = 1651 130928.0033.ec.fits: ap = 23, w1 = 7640.551, w2 = 7479.344, dw = -0.0977, nw = 1651 130928.0033.ec.fits: ap = 24, w1 = 7540.026, w2 = 7380.943, dw = -0.09641, nw = 1651 130928.0033.ec.fits: ap = 25, w1 = 7442.113, w2 = 7285.098, dw = -0.09516, nw = 1651 130928.0033.ec.fits: ap = 26, w1 = 7346.71, w2 = 7191.71, dw = -0.09394, nw = 1651 130928.0033.ec.fits: ap = 27, w1 = 7253.723, w2 = 7100.687, dw = -0.09275, nw = 1651 130928.0033.ec.fits: ap = 28, w1 = 7163.06, w2 = 7011.939, dw = -0.09159, nw = 1651 130928.0033.ec.fits: ap = 29, w1 = 7074.636, w2 = 6925.382, dw = -0.09046, nw = 1651 130928.0033.ec.fits: ap = 30, w1 = 6988.368, w2 = 6840.937, dw = -0.08935, nw = 1651 130928.0033.ec.fits: ap = 31, w1 = 6904.179, w2 = 6758.527, dw = -0.08827, nw = 1651 130928.0033.ec.fits: ap = 32, w1 = 6821.995, w2 = 6678.078, dw = -0.08722, nw = 1651 130928.0033.ec.fits: ap = 33, w1 = 6741.745, w2 = 6599.523, dw = -0.0862, nw = 1651 130928.0033.ec.fits: ap = 34, w1 = 6663.36, w2 = 6522.794, dw = -0.08519, nw = 1651 130928.0033.ec.fits: ap = 35, w1 = 6586.778, w2 = 6447.83, dw = -0.08421, nw = 1651 130928.0033.ec.fits: ap = 36, w1 = 6511.937, w2 = 6374.569, dw = -0.08325, nw = 1651 130928.0033.ec.fits: ap = 37, w1 = 6438.777, w2 = 6302.955, dw = -0.08232, nw = 1651 130928.0033.ec.fits: ap = 38, w1 = 6367.243, w2 = 6232.932, dw = -0.0814, nw = 1651 130928.0033.ec.fits: ap = 39, w1 = 6297.281, w2 = 6164.448, dw = -0.08051, nw = 1651 130928.0033.ec.fits: ap = 40, w1 = 6228.841, w2 = 6097.453, dw = -0.07963, nw = 1651 130928.0033.ec.fits: ap = 41, w1 = 6161.872, w2 = 6031.899, dw = -0.07877, nw = 1651 130928.0033.ec.fits: ap = 42, w1 = 6096.328, w2 = 5967.74, dw = -0.07793, nw = 1651 130928.0033.ec.fits: ap = 43, w1 = 6032.164, w2 = 5904.931, dw = -0.07711, nw = 1651 130928.0033.ec.fits: ap = 44, w1 = 5969.338, w2 = 5843.432, dw = -0.07631, nw = 1651 130928.0033.ec.fits: ap = 45, w1 = 5907.806, w2 = 5783.2, dw = -0.07552, nw = 1651 130928.0033.ec.fits: ap = 46, w1 = 5847.53, w2 = 5724.198, dw = -0.07475, nw = 1651 130928.0033.ec.fits: ap = 47, w1 = 5788.473, w2 = 5666.387, dw = -0.07399, nw = 1651 130928.0033.ec.fits: ap = 48, w1 = 5730.596, w2 = 5609.733, dw = -0.07325, nw = 1651 130928.0033.ec.fits: ap = 49, w1 = 5673.866, w2 = 5554.201, dw = -0.07252, nw = 1651 130928.0033.ec.fits: ap = 50, w1 = 5618.248, w2 = 5499.758, dw = -0.07181, nw = 1651 130928.0033.ec.fits: ap = 51, w1 = 5563.71, w2 = 5446.373, dw = -0.07111, nw = 1651 130928.0033.ec.fits: ap = 52, w1 = 5510.221, w2 = 5394.014, dw = -0.07043, nw = 1651 130928.0033.ec.fits: ap = 53, w1 = 5457.751, w2 = 5342.652, dw = -0.06976, nw = 1651 130928.0033.ec.fits: ap = 54, w1 = 5406.271, w2 = 5292.26, dw = -0.0691, nw = 1651 130928.0033.ec.fits: ap = 55, w1 = 5355.754, w2 = 5242.81, dw = -0.06845, nw = 1651 130928.0033.ec.fits: ap = 56, w1 = 5306.172, w2 = 5194.275, dw = -0.06782, nw = 1651 130928.0033.ec.fits: ap = 57, w1 = 5257.5, w2 = 5146.631, dw = -0.06719, nw = 1651 130928.0033.ec.fits: ap = 58, w1 = 5209.713, w2 = 5099.854, dw = -0.06658, nw = 1651 130928.0033.ec.fits: ap = 59, w1 = 5162.787, w2 = 5053.919, dw = -0.06598, nw = 1651 130928.0033.ec.fits: ap = 60, w1 = 5116.699, w2 = 5008.805, dw = -0.06539, nw = 1651 130928.0033.ec.fits: ap = 61, w1 = 5071.427, w2 = 4964.49, dw = -0.06481, nw = 1651 130928.0033.ec.fits: ap = 62, w1 = 5026.949, w2 = 4920.952, dw = -0.06424, nw = 1651 130928.0033.ec.fits: ap = 63, w1 = 4983.245, w2 = 4878.171, dw = -0.06368, nw = 1651 130928.0033.ec.fits: ap = 64, w1 = 4940.294, w2 = 4836.128, dw = -0.06313, nw = 1651 130928.0033.ec.fits: ap = 65, w1 = 4898.078, w2 = 4794.804, dw = -0.06259, nw = 1651 130928.0033.ec.fits: ap = 66, w1 = 4856.578, w2 = 4754.18, dw = -0.06206, nw = 1651 130928.0033.ec.fits: ap = 67, w1 = 4815.774, w2 = 4714.239, dw = -0.06154, nw = 1651 130928.0033.ec.fits: ap = 68, w1 = 4775.651, w2 = 4674.964, dw = -0.06102, nw = 1651 130928.0033.ec.fits: ap = 69, w1 = 4736.192, w2 = 4636.338, dw = -0.06052, nw = 1651 130928.0033.ec.fits: ap = 70, w1 = 4697.379, w2 = 4598.346, dw = -0.06002, nw = 1651 130928.0033.ec.fits: ap = 71, w1 = 4659.197, w2 = 4560.971, dw = -0.05953, nw = 1651 130928.0033.ec.fits: ap = 72, w1 = 4621.631, w2 = 4524.199, dw = -0.05905, nw = 1651 130928.0033.ec.fits: ap = 73, w1 = 4584.667, w2 = 4488.015, dw = -0.05858, nw = 1651 130928.0033.ec.fits: ap = 74, w1 = 4548.289, w2 = 4452.406, dw = -0.05811, nw = 1651 130928.0033.ec.fits: ap = 75, w1 = 4512.484, w2 = 4417.358, dw = -0.05765, nw = 1651 130928.0033.ec.fits: ap = 76, w1 = 4477.238, w2 = 4382.857, dw = -0.0572, nw = 1651 130928.0033.ec.fits: ap = 77, w1 = 4442.539, w2 = 4348.892, dw = -0.05676, nw = 1651 130928.0033.ec.fits: ap = 78, w1 = 4408.373, w2 = 4315.449, dw = -0.05632, nw = 1651 130928.0033.ec.fits: ap = 79, w1 = 4374.73, w2 = 4282.516, dw = -0.05589, nw = 1651 130928.0033.ec.fits: ap = 80, w1 = 4341.596, w2 = 4250.083, dw = -0.05546, nw = 1651 130928.0033.ec.fits: ap = 81, w1 = 4308.96, w2 = 4218.137, dw = -0.05504, nw = 1651 130928.0033.ec.fits: ap = 82, w1 = 4276.811, w2 = 4186.668, dw = -0.05463, nw = 1651 130928.0033.ec.fits: ap = 83, w1 = 4245.138, w2 = 4155.665, dw = -0.05423, nw = 1651 130928.0033.ec.fits: ap = 84, w1 = 4213.932, w2 = 4125.118, dw = -0.05383, nw = 1651 130928.0033.ec.fits: ap = 85, w1 = 4183.18, w2 = 4095.017, dw = -0.05343, nw = 1651 130928.0033.ec.fits: ap = 86, w1 = 4152.875, w2 = 4065.352, dw = -0.05304, nw = 1651 130928.0033.ec.fits: ap = 87, w1 = 4123.004, w2 = 4036.114, dw = -0.05266, nw = 1651 130928.0033.ec.fits: ap = 88, w1 = 4093.561, w2 = 4007.294, dw = -0.05228, nw = 1651 130928.0033.ec.fits: ap = 89, w1 = 4064.536, w2 = 3978.882, dw = -0.05191, nw = 1651 130928.0033.ec.fits: ap = 90, w1 = 4035.919, w2 = 3950.871, dw = -0.05154, nw = 1651 130928.0033.ec.fits: ap = 91, w1 = 4007.703, w2 = 3923.252, dw = -0.05118, nw = 1651 130928.0033.ec.fits: ap = 92, w1 = 3979.878, w2 = 3896.016, dw = -0.05083, nw = 1651 130928.0033.ec.fits: ap = 93, w1 = 3952.436, w2 = 3869.154, dw = -0.05047, nw = 1651 130928.0033.ec.fits: ap = 94, w1 = 3925.371, w2 = 3842.662, dw = -0.05013, nw = 1651 130928.0033.ec.fits: ap = 95, w1 = 3898.673, w2 = 3816.529, dw = -0.04978, nw = 1651 130928.0033.ec.fits: ap = 96, w1 = 3872.336, w2 = 3790.75, dw = -0.04945, nw = 1651 130928.0033.ec.fits: ap = 97, w1 = 3846.353, w2 = 3765.316, dw = -0.04911, nw = 1651 130928.0033.ec.fits: ap = 98, w1 = 3820.715, w2 = 3740.222, dw = -0.04878, nw = 1651 130928.0033.ec.fits: ap = 99, w1 = 3795.417, w2 = 3715.46, dw = -0.04846, nw = 1651 130928.0033.ec.fits: ap = 100, w1 = 3770.452, w2 = 3691.023, dw = -0.04814, nw = 1651 130928.0033.ec.fits: ap = 101, w1 = 3745.813, w2 = 3666.906, dw = -0.04782, nw = 1651 130928.0033.ec.fits: ap = 102, w1 = 3721.494, w2 = 3643.101, dw = -0.04751, nw = 1651 130928.0033.ec.fits: ap = 103, w1 = 3697.488, w2 = 3619.604, dw = -0.0472, nw = 1651 130928.0033.ec.fits: ap = 104, w1 = 3673.789, w2 = 3596.408, dw = -0.0469, nw = 1651 130928.0033.ec.fits: ap = 105, w1 = 3650.393, w2 = 3573.507, dw = -0.0466, nw = 1651 130928.0033.ec.fits: ap = 106, w1 = 3627.292, w2 = 3550.896, dw = -0.0463, nw = 1651 130928.0033.ec.fits: ap = 107, w1 = 3604.481, w2 = 3528.569, dw = -0.04601, nw = 1651 130928.0033.ec.fits: ap = 108, w1 = 3581.955, w2 = 3506.521, dw = -0.04572, nw = 1651 130928.0033.ec.fits: ap = 109, w1 = 3559.709, w2 = 3484.746, dw = -0.04543, nw = 1651 130928.0033.ec.fits: ap = 110, w1 = 3537.737, w2 = 3463.24, dw = -0.04515, nw = 1651 130928.0033.ec.fits: ap = 111, w1 = 3516.035, w2 = 3441.998, dw = -0.04487, nw = 1651 130928.0033.ec.fits: ap = 112, w1 = 3494.596, w2 = 3421.014, dw = -0.0446, nw = 1651 130928.0033.ec.fits: ap = 113, w1 = 3473.418, w2 = 3400.285, dw = -0.04432, nw = 1651 130928.0033.ec.fits: ap = 114, w1 = 3452.494, w2 = 3379.805, dw = -0.04405, nw = 1651 130928.0033.ec.fits: ap = 115, w1 = 3431.82, w2 = 3359.57, dw = -0.04379, nw = 1651 130928.0034.ec.fits: REFSPEC1 = 'ThAr.0032.ec 0.69063044' 130928.0034.ec.fits: REFSPEC2 = 'ThAr.0038.ec 0.30936953' 130928.0034.ec.fits: ap = 1, w1 = 10811.73, w2 = 10583.55, dw = -0.13829, nw = 1651 130928.0034.ec.fits: ap = 2, w1 = 10611.53, w2 = 10387.58, dw = -0.13573, nw = 1651 130928.0034.ec.fits: ap = 3, w1 = 10418.62, w2 = 10198.74, dw = -0.13326, nw = 1651 130928.0034.ec.fits: ap = 4, w1 = 10232.59, w2 = 10016.64, dw = -0.13088, nw = 1651 130928.0034.ec.fits: ap = 5, w1 = 10053.09, w2 = 9840.928, dw = -0.12858, nw = 1651 130928.0034.ec.fits: ap = 6, w1 = 9879.777, w2 = 9671.276, dw = -0.12636, nw = 1651 130928.0034.ec.fits: ap = 7, w1 = 9712.34, w2 = 9507.375, dw = -0.12422, nw = 1651 130928.0034.ec.fits: ap = 8, w1 = 9550.483, w2 = 9348.937, dw = -0.12215, nw = 1651 130928.0034.ec.fits: ap = 9, w1 = 9393.933, w2 = 9195.693, dw = -0.12015, nw = 1651 130928.0034.ec.fits: ap = 10, w1 = 9242.432, w2 = 9047.392, dw = -0.11821, nw = 1651 130928.0034.ec.fits: ap = 11, w1 = 9095.741, w2 = 8903.799, dw = -0.11633, nw = 1651 130928.0034.ec.fits: ap = 12, w1 = 8953.633, w2 = 8764.692, dw = -0.11451, nw = 1651 130928.0034.ec.fits: ap = 13, w1 = 8815.898, w2 = 8629.865, dw = -0.11275, nw = 1651 130928.0034.ec.fits: ap = 14, w1 = 8682.336, w2 = 8499.124, dw = -0.11104, nw = 1651 130928.0034.ec.fits: ap = 15, w1 = 8552.761, w2 = 8372.286, dw = -0.10938, nw = 1651 130928.0034.ec.fits: ap = 16, w1 = 8426.997, w2 = 8249.178, dw = -0.10777, nw = 1651 130928.0034.ec.fits: ap = 17, w1 = 8304.877, w2 = 8129.638, dw = -0.10621, nw = 1651 130928.0034.ec.fits: ap = 18, w1 = 8186.247, w2 = 8013.513, dw = -0.10469, nw = 1651 130928.0034.ec.fits: ap = 19, w1 = 8070.958, w2 = 7900.659, dw = -0.10321, nw = 1651 130928.0034.ec.fits: ap = 20, w1 = 7958.872, w2 = 7790.94, dw = -0.10178, nw = 1651 130928.0034.ec.fits: ap = 21, w1 = 7849.856, w2 = 7684.227, dw = -0.10038, nw = 1651 130928.0034.ec.fits: ap = 22, w1 = 7743.787, w2 = 7580.398, dw = -0.09902, nw = 1651 130928.0034.ec.fits: ap = 23, w1 = 7640.546, w2 = 7479.338, dw = -0.0977, nw = 1651 130928.0034.ec.fits: ap = 24, w1 = 7540.022, w2 = 7380.937, dw = -0.09641, nw = 1651 130928.0034.ec.fits: ap = 25, w1 = 7442.108, w2 = 7285.092, dw = -0.09516, nw = 1651 130928.0034.ec.fits: ap = 26, w1 = 7346.706, w2 = 7191.704, dw = -0.09394, nw = 1651 130928.0034.ec.fits: ap = 27, w1 = 7253.718, w2 = 7100.681, dw = -0.09275, nw = 1651 130928.0034.ec.fits: ap = 28, w1 = 7163.055, w2 = 7011.933, dw = -0.09159, nw = 1651 130928.0034.ec.fits: ap = 29, w1 = 7074.631, w2 = 6925.377, dw = -0.09046, nw = 1651 130928.0034.ec.fits: ap = 30, w1 = 6988.364, w2 = 6840.932, dw = -0.08935, nw = 1651 130928.0034.ec.fits: ap = 31, w1 = 6904.175, w2 = 6758.521, dw = -0.08827, nw = 1651 130928.0034.ec.fits: ap = 32, w1 = 6821.991, w2 = 6678.073, dw = -0.08722, nw = 1651 130928.0034.ec.fits: ap = 33, w1 = 6741.74, w2 = 6599.518, dw = -0.0862, nw = 1651 130928.0034.ec.fits: ap = 34, w1 = 6663.356, w2 = 6522.789, dw = -0.08519, nw = 1651 130928.0034.ec.fits: ap = 35, w1 = 6586.774, w2 = 6447.825, dw = -0.08421, nw = 1651 130928.0034.ec.fits: ap = 36, w1 = 6511.932, w2 = 6374.564, dw = -0.08325, nw = 1651 130928.0034.ec.fits: ap = 37, w1 = 6438.773, w2 = 6302.95, dw = -0.08232, nw = 1651 130928.0034.ec.fits: ap = 38, w1 = 6367.239, w2 = 6232.927, dw = -0.0814, nw = 1651 130928.0034.ec.fits: ap = 39, w1 = 6297.277, w2 = 6164.443, dw = -0.08051, nw = 1651 130928.0034.ec.fits: ap = 40, w1 = 6228.837, w2 = 6097.448, dw = -0.07963, nw = 1651 130928.0034.ec.fits: ap = 41, w1 = 6161.868, w2 = 6031.894, dw = -0.07877, nw = 1651 130928.0034.ec.fits: ap = 42, w1 = 6096.324, w2 = 5967.735, dw = -0.07793, nw = 1651 130928.0034.ec.fits: ap = 43, w1 = 6032.16, w2 = 5904.927, dw = -0.07711, nw = 1651 130928.0034.ec.fits: ap = 44, w1 = 5969.333, w2 = 5843.427, dw = -0.07631, nw = 1651 130928.0034.ec.fits: ap = 45, w1 = 5907.802, w2 = 5783.195, dw = -0.07552, nw = 1651 130928.0034.ec.fits: ap = 46, w1 = 5847.526, w2 = 5724.193, dw = -0.07475, nw = 1651 130928.0034.ec.fits: ap = 47, w1 = 5788.469, w2 = 5666.383, dw = -0.07399, nw = 1651 130928.0034.ec.fits: ap = 48, w1 = 5730.592, w2 = 5609.729, dw = -0.07325, nw = 1651 130928.0034.ec.fits: ap = 49, w1 = 5673.862, w2 = 5554.197, dw = -0.07252, nw = 1651 130928.0034.ec.fits: ap = 50, w1 = 5618.244, w2 = 5499.754, dw = -0.07181, nw = 1651 130928.0034.ec.fits: ap = 51, w1 = 5563.706, w2 = 5446.368, dw = -0.07111, nw = 1651 130928.0034.ec.fits: ap = 52, w1 = 5510.217, w2 = 5394.009, dw = -0.07043, nw = 1651 130928.0034.ec.fits: ap = 53, w1 = 5457.747, w2 = 5342.647, dw = -0.06976, nw = 1651 130928.0034.ec.fits: ap = 54, w1 = 5406.267, w2 = 5292.255, dw = -0.0691, nw = 1651 130928.0034.ec.fits: ap = 55, w1 = 5355.749, w2 = 5242.805, dw = -0.06845, nw = 1651 130928.0034.ec.fits: ap = 56, w1 = 5306.167, w2 = 5194.27, dw = -0.06782, nw = 1651 130928.0034.ec.fits: ap = 57, w1 = 5257.495, w2 = 5146.626, dw = -0.06719, nw = 1651 130928.0034.ec.fits: ap = 58, w1 = 5209.708, w2 = 5099.849, dw = -0.06658, nw = 1651 130928.0034.ec.fits: ap = 59, w1 = 5162.782, w2 = 5053.914, dw = -0.06598, nw = 1651 130928.0034.ec.fits: ap = 60, w1 = 5116.694, w2 = 5008.8, dw = -0.06539, nw = 1651 130928.0034.ec.fits: ap = 61, w1 = 5071.422, w2 = 4964.485, dw = -0.06481, nw = 1651 130928.0034.ec.fits: ap = 62, w1 = 5026.945, w2 = 4920.947, dw = -0.06424, nw = 1651 130928.0034.ec.fits: ap = 63, w1 = 4983.24, w2 = 4878.166, dw = -0.06368, nw = 1651 130928.0034.ec.fits: ap = 64, w1 = 4940.29, w2 = 4836.123, dw = -0.06313, nw = 1651 130928.0034.ec.fits: ap = 65, w1 = 4898.074, w2 = 4794.799, dw = -0.06259, nw = 1651 130928.0034.ec.fits: ap = 66, w1 = 4856.573, w2 = 4754.175, dw = -0.06206, nw = 1651 130928.0034.ec.fits: ap = 67, w1 = 4815.77, w2 = 4714.234, dw = -0.06154, nw = 1651 130928.0034.ec.fits: ap = 68, w1 = 4775.647, w2 = 4674.959, dw = -0.06102, nw = 1651 130928.0034.ec.fits: ap = 69, w1 = 4736.187, w2 = 4636.333, dw = -0.06052, nw = 1651 130928.0034.ec.fits: ap = 70, w1 = 4697.374, w2 = 4598.34, dw = -0.06002, nw = 1651 130928.0034.ec.fits: ap = 71, w1 = 4659.192, w2 = 4560.965, dw = -0.05953, nw = 1651 130928.0034.ec.fits: ap = 72, w1 = 4621.626, w2 = 4524.193, dw = -0.05905, nw = 1651 130928.0034.ec.fits: ap = 73, w1 = 4584.662, w2 = 4488.01, dw = -0.05858, nw = 1651 130928.0034.ec.fits: ap = 74, w1 = 4548.284, w2 = 4452.401, dw = -0.05811, nw = 1651 130928.0034.ec.fits: ap = 75, w1 = 4512.478, w2 = 4417.353, dw = -0.05765, nw = 1651 130928.0034.ec.fits: ap = 76, w1 = 4477.233, w2 = 4382.852, dw = -0.0572, nw = 1651 130928.0034.ec.fits: ap = 77, w1 = 4442.534, w2 = 4348.886, dw = -0.05676, nw = 1651 130928.0034.ec.fits: ap = 78, w1 = 4408.368, w2 = 4315.443, dw = -0.05632, nw = 1651 130928.0034.ec.fits: ap = 79, w1 = 4374.724, w2 = 4282.511, dw = -0.05589, nw = 1651 130928.0034.ec.fits: ap = 80, w1 = 4341.59, w2 = 4250.078, dw = -0.05546, nw = 1651 130928.0034.ec.fits: ap = 81, w1 = 4308.955, w2 = 4218.132, dw = -0.05504, nw = 1651 130928.0034.ec.fits: ap = 82, w1 = 4276.806, w2 = 4186.663, dw = -0.05463, nw = 1651 130928.0034.ec.fits: ap = 83, w1 = 4245.133, w2 = 4155.66, dw = -0.05423, nw = 1651 130928.0034.ec.fits: ap = 84, w1 = 4213.926, w2 = 4125.114, dw = -0.05383, nw = 1651 130928.0034.ec.fits: ap = 85, w1 = 4183.175, w2 = 4095.013, dw = -0.05343, nw = 1651 130928.0034.ec.fits: ap = 86, w1 = 4152.869, w2 = 4065.348, dw = -0.05304, nw = 1651 130928.0034.ec.fits: ap = 87, w1 = 4122.999, w2 = 4036.11, dw = -0.05266, nw = 1651 130928.0034.ec.fits: ap = 88, w1 = 4093.556, w2 = 4007.29, dw = -0.05228, nw = 1651 130928.0034.ec.fits: ap = 89, w1 = 4064.531, w2 = 3978.879, dw = -0.05191, nw = 1651 130928.0034.ec.fits: ap = 90, w1 = 4035.914, w2 = 3950.868, dw = -0.05154, nw = 1651 130928.0034.ec.fits: ap = 91, w1 = 4007.698, w2 = 3923.249, dw = -0.05118, nw = 1651 130928.0034.ec.fits: ap = 92, w1 = 3979.873, w2 = 3896.013, dw = -0.05082, nw = 1651 130928.0034.ec.fits: ap = 93, w1 = 3952.431, w2 = 3869.153, dw = -0.05047, nw = 1651 130928.0034.ec.fits: ap = 94, w1 = 3925.366, w2 = 3842.66, dw = -0.05012, nw = 1651 130928.0034.ec.fits: ap = 95, w1 = 3898.668, w2 = 3816.528, dw = -0.04978, nw = 1651 130928.0034.ec.fits: ap = 96, w1 = 3872.332, w2 = 3790.749, dw = -0.04944, nw = 1651 130928.0034.ec.fits: ap = 97, w1 = 3846.348, w2 = 3765.316, dw = -0.04911, nw = 1651 130928.0034.ec.fits: ap = 98, w1 = 3820.711, w2 = 3740.222, dw = -0.04878, nw = 1651 130928.0034.ec.fits: ap = 99, w1 = 3795.413, w2 = 3715.461, dw = -0.04846, nw = 1651 130928.0034.ec.fits: ap = 100, w1 = 3770.448, w2 = 3691.025, dw = -0.04814, nw = 1651 130928.0034.ec.fits: ap = 101, w1 = 3745.809, w2 = 3666.908, dw = -0.04782, nw = 1651 130928.0034.ec.fits: ap = 102, w1 = 3721.49, w2 = 3643.104, dw = -0.04751, nw = 1651 130928.0034.ec.fits: ap = 103, w1 = 3697.484, w2 = 3619.608, dw = -0.0472, nw = 1651 130928.0034.ec.fits: ap = 104, w1 = 3673.786, w2 = 3596.412, dw = -0.04689, nw = 1651 130928.0034.ec.fits: ap = 105, w1 = 3650.389, w2 = 3573.512, dw = -0.04659, nw = 1651 130928.0034.ec.fits: ap = 106, w1 = 3627.289, w2 = 3550.902, dw = -0.0463, nw = 1651 130928.0034.ec.fits: ap = 107, w1 = 3604.478, w2 = 3528.576, dw = -0.046, nw = 1651 130928.0034.ec.fits: ap = 108, w1 = 3581.953, w2 = 3506.528, dw = -0.04571, nw = 1651 130928.0034.ec.fits: ap = 109, w1 = 3559.707, w2 = 3484.755, dw = -0.04543, nw = 1651 130928.0034.ec.fits: ap = 110, w1 = 3537.735, w2 = 3463.25, dw = -0.04514, nw = 1651 130928.0034.ec.fits: ap = 111, w1 = 3516.033, w2 = 3442.009, dw = -0.04486, nw = 1651 130928.0034.ec.fits: ap = 112, w1 = 3494.595, w2 = 3421.026, dw = -0.04459, nw = 1651 130928.0034.ec.fits: ap = 113, w1 = 3473.416, w2 = 3400.298, dw = -0.04431, nw = 1651 130928.0034.ec.fits: ap = 114, w1 = 3452.493, w2 = 3379.819, dw = -0.04404, nw = 1651 130928.0034.ec.fits: ap = 115, w1 = 3431.819, w2 = 3359.585, dw = -0.04378, nw = 1651 130928.0035.ec.fits: REFSPEC1 = 'ThAr.0032.ec 0.50120211' 130928.0035.ec.fits: REFSPEC2 = 'ThAr.0038.ec 0.49879789' 130928.0035.ec.fits: ap = 1, w1 = 10811.73, w2 = 10583.55, dw = -0.13829, nw = 1651 130928.0035.ec.fits: ap = 2, w1 = 10611.53, w2 = 10387.58, dw = -0.13573, nw = 1651 130928.0035.ec.fits: ap = 3, w1 = 10418.61, w2 = 10198.74, dw = -0.13326, nw = 1651 130928.0035.ec.fits: ap = 4, w1 = 10232.59, w2 = 10016.64, dw = -0.13088, nw = 1651 130928.0035.ec.fits: ap = 5, w1 = 10053.08, w2 = 9840.925, dw = -0.12858, nw = 1651 130928.0035.ec.fits: ap = 6, w1 = 9879.772, w2 = 9671.273, dw = -0.12636, nw = 1651 130928.0035.ec.fits: ap = 7, w1 = 9712.335, w2 = 9507.371, dw = -0.12422, nw = 1651 130928.0035.ec.fits: ap = 8, w1 = 9550.478, w2 = 9348.932, dw = -0.12215, nw = 1651 130928.0035.ec.fits: ap = 9, w1 = 9393.928, w2 = 9195.688, dw = -0.12015, nw = 1651 130928.0035.ec.fits: ap = 10, w1 = 9242.427, w2 = 9047.386, dw = -0.11821, nw = 1651 130928.0035.ec.fits: ap = 11, w1 = 9095.736, w2 = 8903.793, dw = -0.11633, nw = 1651 130928.0035.ec.fits: ap = 12, w1 = 8953.628, w2 = 8764.686, dw = -0.11451, nw = 1651 130928.0035.ec.fits: ap = 13, w1 = 8815.892, w2 = 8629.859, dw = -0.11275, nw = 1651 130928.0035.ec.fits: ap = 14, w1 = 8682.331, w2 = 8499.118, dw = -0.11104, nw = 1651 130928.0035.ec.fits: ap = 15, w1 = 8552.756, w2 = 8372.28, dw = -0.10938, nw = 1651 130928.0035.ec.fits: ap = 16, w1 = 8426.991, w2 = 8249.172, dw = -0.10777, nw = 1651 130928.0035.ec.fits: ap = 17, w1 = 8304.872, w2 = 8129.632, dw = -0.10621, nw = 1651 130928.0035.ec.fits: ap = 18, w1 = 8186.242, w2 = 8013.507, dw = -0.10469, nw = 1651 130928.0035.ec.fits: ap = 19, w1 = 8070.953, w2 = 7900.653, dw = -0.10321, nw = 1651 130928.0035.ec.fits: ap = 20, w1 = 7958.867, w2 = 7790.934, dw = -0.10178, nw = 1651 130928.0035.ec.fits: ap = 21, w1 = 7849.851, w2 = 7684.221, dw = -0.10038, nw = 1651 130928.0035.ec.fits: ap = 22, w1 = 7743.782, w2 = 7580.392, dw = -0.09902, nw = 1651 130928.0035.ec.fits: ap = 23, w1 = 7640.541, w2 = 7479.332, dw = -0.0977, nw = 1651 130928.0035.ec.fits: ap = 24, w1 = 7540.017, w2 = 7380.931, dw = -0.09642, nw = 1651 130928.0035.ec.fits: ap = 25, w1 = 7442.103, w2 = 7285.086, dw = -0.09516, nw = 1651 130928.0035.ec.fits: ap = 26, w1 = 7346.701, w2 = 7191.699, dw = -0.09394, nw = 1651 130928.0035.ec.fits: ap = 27, w1 = 7253.713, w2 = 7100.675, dw = -0.09275, nw = 1651 130928.0035.ec.fits: ap = 28, w1 = 7163.051, w2 = 7011.928, dw = -0.09159, nw = 1651 130928.0035.ec.fits: ap = 29, w1 = 7074.627, w2 = 6925.371, dw = -0.09046, nw = 1651 130928.0035.ec.fits: ap = 30, w1 = 6988.359, w2 = 6840.926, dw = -0.08935, nw = 1651 130928.0035.ec.fits: ap = 31, w1 = 6904.17, w2 = 6758.516, dw = -0.08828, nw = 1651 130928.0035.ec.fits: ap = 32, w1 = 6821.986, w2 = 6678.068, dw = -0.08722, nw = 1651 130928.0035.ec.fits: ap = 33, w1 = 6741.736, w2 = 6599.512, dw = -0.0862, nw = 1651 130928.0035.ec.fits: ap = 34, w1 = 6663.352, w2 = 6522.784, dw = -0.08519, nw = 1651 130928.0035.ec.fits: ap = 35, w1 = 6586.77, w2 = 6447.82, dw = -0.08421, nw = 1651 130928.0035.ec.fits: ap = 36, w1 = 6511.928, w2 = 6374.559, dw = -0.08325, nw = 1651 130928.0035.ec.fits: ap = 37, w1 = 6438.768, w2 = 6302.945, dw = -0.08232, nw = 1651 130928.0035.ec.fits: ap = 38, w1 = 6367.235, w2 = 6232.922, dw = -0.0814, nw = 1651 130928.0035.ec.fits: ap = 39, w1 = 6297.273, w2 = 6164.438, dw = -0.08051, nw = 1651 130928.0035.ec.fits: ap = 40, w1 = 6228.832, w2 = 6097.444, dw = -0.07963, nw = 1651 130928.0035.ec.fits: ap = 41, w1 = 6161.864, w2 = 6031.89, dw = -0.07877, nw = 1651 130928.0035.ec.fits: ap = 42, w1 = 6096.32, w2 = 5967.73, dw = -0.07793, nw = 1651 130928.0035.ec.fits: ap = 43, w1 = 6032.156, w2 = 5904.922, dw = -0.07711, nw = 1651 130928.0035.ec.fits: ap = 44, w1 = 5969.329, w2 = 5843.422, dw = -0.07631, nw = 1651 130928.0035.ec.fits: ap = 45, w1 = 5907.798, w2 = 5783.191, dw = -0.07552, nw = 1651 130928.0035.ec.fits: ap = 46, w1 = 5847.522, w2 = 5724.188, dw = -0.07475, nw = 1651 130928.0035.ec.fits: ap = 47, w1 = 5788.464, w2 = 5666.378, dw = -0.07399, nw = 1651 130928.0035.ec.fits: ap = 48, w1 = 5730.588, w2 = 5609.724, dw = -0.07325, nw = 1651 130928.0035.ec.fits: ap = 49, w1 = 5673.857, w2 = 5554.192, dw = -0.07252, nw = 1651 130928.0035.ec.fits: ap = 50, w1 = 5618.24, w2 = 5499.749, dw = -0.07181, nw = 1651 130928.0035.ec.fits: ap = 51, w1 = 5563.702, w2 = 5446.363, dw = -0.07111, nw = 1651 130928.0035.ec.fits: ap = 52, w1 = 5510.213, w2 = 5394.004, dw = -0.07043, nw = 1651 130928.0035.ec.fits: ap = 53, w1 = 5457.743, w2 = 5342.643, dw = -0.06976, nw = 1651 130928.0035.ec.fits: ap = 54, w1 = 5406.263, w2 = 5292.25, dw = -0.0691, nw = 1651 130928.0035.ec.fits: ap = 55, w1 = 5355.745, w2 = 5242.8, dw = -0.06845, nw = 1651 130928.0035.ec.fits: ap = 56, w1 = 5306.163, w2 = 5194.265, dw = -0.06782, nw = 1651 130928.0035.ec.fits: ap = 57, w1 = 5257.491, w2 = 5146.622, dw = -0.06719, nw = 1651 130928.0035.ec.fits: ap = 58, w1 = 5209.704, w2 = 5099.844, dw = -0.06658, nw = 1651 130928.0035.ec.fits: ap = 59, w1 = 5162.778, w2 = 5053.909, dw = -0.06598, nw = 1651 130928.0035.ec.fits: ap = 60, w1 = 5116.69, w2 = 5008.795, dw = -0.06539, nw = 1651 130928.0035.ec.fits: ap = 61, w1 = 5071.418, w2 = 4964.48, dw = -0.06481, nw = 1651 130928.0035.ec.fits: ap = 62, w1 = 5026.94, w2 = 4920.942, dw = -0.06424, nw = 1651 130928.0035.ec.fits: ap = 63, w1 = 4983.236, w2 = 4878.161, dw = -0.06368, nw = 1651 130928.0035.ec.fits: ap = 64, w1 = 4940.285, w2 = 4836.118, dw = -0.06313, nw = 1651 130928.0035.ec.fits: ap = 65, w1 = 4898.069, w2 = 4794.793, dw = -0.06259, nw = 1651 130928.0035.ec.fits: ap = 66, w1 = 4856.568, w2 = 4754.17, dw = -0.06206, nw = 1651 130928.0035.ec.fits: ap = 67, w1 = 4815.765, w2 = 4714.229, dw = -0.06154, nw = 1651 130928.0035.ec.fits: ap = 68, w1 = 4775.642, w2 = 4674.953, dw = -0.06102, nw = 1651 130928.0035.ec.fits: ap = 69, w1 = 4736.182, w2 = 4636.327, dw = -0.06052, nw = 1651 130928.0035.ec.fits: ap = 70, w1 = 4697.369, w2 = 4598.335, dw = -0.06002, nw = 1651 130928.0035.ec.fits: ap = 71, w1 = 4659.187, w2 = 4560.96, dw = -0.05953, nw = 1651 130928.0035.ec.fits: ap = 72, w1 = 4621.621, w2 = 4524.188, dw = -0.05905, nw = 1651 130928.0035.ec.fits: ap = 73, w1 = 4584.657, w2 = 4488.005, dw = -0.05858, nw = 1651 130928.0035.ec.fits: ap = 74, w1 = 4548.279, w2 = 4452.396, dw = -0.05811, nw = 1651 130928.0035.ec.fits: ap = 75, w1 = 4512.473, w2 = 4417.347, dw = -0.05765, nw = 1651 130928.0035.ec.fits: ap = 76, w1 = 4477.228, w2 = 4382.847, dw = -0.0572, nw = 1651 130928.0035.ec.fits: ap = 77, w1 = 4442.528, w2 = 4348.881, dw = -0.05676, nw = 1651 130928.0035.ec.fits: ap = 78, w1 = 4408.363, w2 = 4315.438, dw = -0.05632, nw = 1651 130928.0035.ec.fits: ap = 79, w1 = 4374.719, w2 = 4282.506, dw = -0.05589, nw = 1651 130928.0035.ec.fits: ap = 80, w1 = 4341.585, w2 = 4250.073, dw = -0.05546, nw = 1651 130928.0035.ec.fits: ap = 81, w1 = 4308.949, w2 = 4218.127, dw = -0.05504, nw = 1651 130928.0035.ec.fits: ap = 82, w1 = 4276.801, w2 = 4186.658, dw = -0.05463, nw = 1651 130928.0035.ec.fits: ap = 83, w1 = 4245.128, w2 = 4155.656, dw = -0.05423, nw = 1651 130928.0035.ec.fits: ap = 84, w1 = 4213.921, w2 = 4125.109, dw = -0.05383, nw = 1651 130928.0035.ec.fits: ap = 85, w1 = 4183.17, w2 = 4095.009, dw = -0.05343, nw = 1651 130928.0035.ec.fits: ap = 86, w1 = 4152.864, w2 = 4065.344, dw = -0.05304, nw = 1651 130928.0035.ec.fits: ap = 87, w1 = 4122.994, w2 = 4036.106, dw = -0.05266, nw = 1651 130928.0035.ec.fits: ap = 88, w1 = 4093.551, w2 = 4007.287, dw = -0.05228, nw = 1651 130928.0035.ec.fits: ap = 89, w1 = 4064.526, w2 = 3978.876, dw = -0.05191, nw = 1651 130928.0035.ec.fits: ap = 90, w1 = 4035.909, w2 = 3950.865, dw = -0.05154, nw = 1651 130928.0035.ec.fits: ap = 91, w1 = 4007.693, w2 = 3923.246, dw = -0.05118, nw = 1651 130928.0035.ec.fits: ap = 92, w1 = 3979.868, w2 = 3896.011, dw = -0.05082, nw = 1651 130928.0035.ec.fits: ap = 93, w1 = 3952.426, w2 = 3869.151, dw = -0.05047, nw = 1651 130928.0035.ec.fits: ap = 94, w1 = 3925.361, w2 = 3842.659, dw = -0.05012, nw = 1651 130928.0035.ec.fits: ap = 95, w1 = 3898.664, w2 = 3816.527, dw = -0.04978, nw = 1651 130928.0035.ec.fits: ap = 96, w1 = 3872.327, w2 = 3790.749, dw = -0.04944, nw = 1651 130928.0035.ec.fits: ap = 97, w1 = 3846.344, w2 = 3765.316, dw = -0.04911, nw = 1651 130928.0035.ec.fits: ap = 98, w1 = 3820.707, w2 = 3740.223, dw = -0.04878, nw = 1651 130928.0035.ec.fits: ap = 99, w1 = 3795.409, w2 = 3715.462, dw = -0.04845, nw = 1651 130928.0035.ec.fits: ap = 100, w1 = 3770.444, w2 = 3691.026, dw = -0.04813, nw = 1651 130928.0035.ec.fits: ap = 101, w1 = 3745.805, w2 = 3666.91, dw = -0.04782, nw = 1651 130928.0035.ec.fits: ap = 102, w1 = 3721.486, w2 = 3643.107, dw = -0.0475, nw = 1651 130928.0035.ec.fits: ap = 103, w1 = 3697.48, w2 = 3619.611, dw = -0.04719, nw = 1651 130928.0035.ec.fits: ap = 104, w1 = 3673.782, w2 = 3596.417, dw = -0.04689, nw = 1651 130928.0035.ec.fits: ap = 105, w1 = 3650.386, w2 = 3573.517, dw = -0.04659, nw = 1651 130928.0035.ec.fits: ap = 106, w1 = 3627.286, w2 = 3550.908, dw = -0.04629, nw = 1651 130928.0035.ec.fits: ap = 107, w1 = 3604.476, w2 = 3528.582, dw = -0.046, nw = 1651 130928.0035.ec.fits: ap = 108, w1 = 3581.95, w2 = 3506.536, dw = -0.04571, nw = 1651 130928.0035.ec.fits: ap = 109, w1 = 3559.705, w2 = 3484.763, dw = -0.04542, nw = 1651 130928.0035.ec.fits: ap = 110, w1 = 3537.733, w2 = 3463.26, dw = -0.04514, nw = 1651 130928.0035.ec.fits: ap = 111, w1 = 3516.031, w2 = 3442.019, dw = -0.04486, nw = 1651 130928.0035.ec.fits: ap = 112, w1 = 3494.594, w2 = 3421.038, dw = -0.04458, nw = 1651 130928.0035.ec.fits: ap = 113, w1 = 3473.415, w2 = 3400.311, dw = -0.04431, nw = 1651 130928.0035.ec.fits: ap = 114, w1 = 3452.492, w2 = 3379.833, dw = -0.04404, nw = 1651 130928.0035.ec.fits: ap = 115, w1 = 3431.819, w2 = 3359.601, dw = -0.04377, nw = 1651 130928.0036.ec.fits: REFSPEC1 = 'ThAr.0032.ec 0.30575576' 130928.0036.ec.fits: REFSPEC2 = 'ThAr.0038.ec 0.69424427' 130928.0036.ec.fits: ap = 1, w1 = 10811.72, w2 = 10583.55, dw = -0.13829, nw = 1651 130928.0036.ec.fits: ap = 2, w1 = 10611.53, w2 = 10387.58, dw = -0.13572, nw = 1651 130928.0036.ec.fits: ap = 3, w1 = 10418.61, w2 = 10198.73, dw = -0.13326, nw = 1651 130928.0036.ec.fits: ap = 4, w1 = 10232.58, w2 = 10016.63, dw = -0.13088, nw = 1651 130928.0036.ec.fits: ap = 5, w1 = 10053.08, w2 = 9840.922, dw = -0.12858, nw = 1651 130928.0036.ec.fits: ap = 6, w1 = 9879.767, w2 = 9671.269, dw = -0.12636, nw = 1651 130928.0036.ec.fits: ap = 7, w1 = 9712.329, w2 = 9507.366, dw = -0.12422, nw = 1651 130928.0036.ec.fits: ap = 8, w1 = 9550.473, w2 = 9348.927, dw = -0.12215, nw = 1651 130928.0036.ec.fits: ap = 9, w1 = 9393.922, w2 = 9195.682, dw = -0.12015, nw = 1651 130928.0036.ec.fits: ap = 10, w1 = 9242.422, w2 = 9047.381, dw = -0.11821, nw = 1651 130928.0036.ec.fits: ap = 11, w1 = 9095.73, w2 = 8903.787, dw = -0.11633, nw = 1651 130928.0036.ec.fits: ap = 12, w1 = 8953.623, w2 = 8764.68, dw = -0.11451, nw = 1651 130928.0036.ec.fits: ap = 13, w1 = 8815.887, w2 = 8629.853, dw = -0.11275, nw = 1651 130928.0036.ec.fits: ap = 14, w1 = 8682.325, w2 = 8499.112, dw = -0.11104, nw = 1651 130928.0036.ec.fits: ap = 15, w1 = 8552.75, w2 = 8372.274, dw = -0.10938, nw = 1651 130928.0036.ec.fits: ap = 16, w1 = 8426.986, w2 = 8249.165, dw = -0.10777, nw = 1651 130928.0036.ec.fits: ap = 17, w1 = 8304.867, w2 = 8129.625, dw = -0.10621, nw = 1651 130928.0036.ec.fits: ap = 18, w1 = 8186.236, w2 = 8013.501, dw = -0.10469, nw = 1651 130928.0036.ec.fits: ap = 19, w1 = 8070.948, w2 = 7900.647, dw = -0.10321, nw = 1651 130928.0036.ec.fits: ap = 20, w1 = 7958.861, w2 = 7790.928, dw = -0.10178, nw = 1651 130928.0036.ec.fits: ap = 21, w1 = 7849.846, w2 = 7684.215, dw = -0.10038, nw = 1651 130928.0036.ec.fits: ap = 22, w1 = 7743.777, w2 = 7580.386, dw = -0.09902, nw = 1651 130928.0036.ec.fits: ap = 23, w1 = 7640.536, w2 = 7479.326, dw = -0.0977, nw = 1651 130928.0036.ec.fits: ap = 24, w1 = 7540.012, w2 = 7380.925, dw = -0.09642, nw = 1651 130928.0036.ec.fits: ap = 25, w1 = 7442.098, w2 = 7285.08, dw = -0.09516, nw = 1651 130928.0036.ec.fits: ap = 26, w1 = 7346.696, w2 = 7191.693, dw = -0.09394, nw = 1651 130928.0036.ec.fits: ap = 27, w1 = 7253.709, w2 = 7100.67, dw = -0.09275, nw = 1651 130928.0036.ec.fits: ap = 28, w1 = 7163.046, w2 = 7011.922, dw = -0.09159, nw = 1651 130928.0036.ec.fits: ap = 29, w1 = 7074.622, w2 = 6925.366, dw = -0.09046, nw = 1651 130928.0036.ec.fits: ap = 30, w1 = 6988.354, w2 = 6840.921, dw = -0.08935, nw = 1651 130928.0036.ec.fits: ap = 31, w1 = 6904.166, w2 = 6758.51, dw = -0.08828, nw = 1651 130928.0036.ec.fits: ap = 32, w1 = 6821.982, w2 = 6678.062, dw = -0.08722, nw = 1651 130928.0036.ec.fits: ap = 33, w1 = 6741.731, w2 = 6599.507, dw = -0.0862, nw = 1651 130928.0036.ec.fits: ap = 34, w1 = 6663.347, w2 = 6522.779, dw = -0.08519, nw = 1651 130928.0036.ec.fits: ap = 35, w1 = 6586.765, w2 = 6447.815, dw = -0.08421, nw = 1651 130928.0036.ec.fits: ap = 36, w1 = 6511.924, w2 = 6374.554, dw = -0.08325, nw = 1651 130928.0036.ec.fits: ap = 37, w1 = 6438.764, w2 = 6302.94, dw = -0.08232, nw = 1651 130928.0036.ec.fits: ap = 38, w1 = 6367.23, w2 = 6232.917, dw = -0.0814, nw = 1651 130928.0036.ec.fits: ap = 39, w1 = 6297.269, w2 = 6164.434, dw = -0.08051, nw = 1651 130928.0036.ec.fits: ap = 40, w1 = 6228.828, w2 = 6097.439, dw = -0.07963, nw = 1651 130928.0036.ec.fits: ap = 41, w1 = 6161.859, w2 = 6031.885, dw = -0.07877, nw = 1651 130928.0036.ec.fits: ap = 42, w1 = 6096.316, w2 = 5967.726, dw = -0.07793, nw = 1651 130928.0036.ec.fits: ap = 43, w1 = 6032.152, w2 = 5904.917, dw = -0.07711, nw = 1651 130928.0036.ec.fits: ap = 44, w1 = 5969.325, w2 = 5843.418, dw = -0.07631, nw = 1651 130928.0036.ec.fits: ap = 45, w1 = 5907.794, w2 = 5783.186, dw = -0.07552, nw = 1651 130928.0036.ec.fits: ap = 46, w1 = 5847.518, w2 = 5724.184, dw = -0.07475, nw = 1651 130928.0036.ec.fits: ap = 47, w1 = 5788.46, w2 = 5666.373, dw = -0.07399, nw = 1651 130928.0036.ec.fits: ap = 48, w1 = 5730.584, w2 = 5609.719, dw = -0.07325, nw = 1651 130928.0036.ec.fits: ap = 49, w1 = 5673.853, w2 = 5554.187, dw = -0.07252, nw = 1651 130928.0036.ec.fits: ap = 50, w1 = 5618.235, w2 = 5499.744, dw = -0.07181, nw = 1651 130928.0036.ec.fits: ap = 51, w1 = 5563.697, w2 = 5446.359, dw = -0.07111, nw = 1651 130928.0036.ec.fits: ap = 52, w1 = 5510.208, w2 = 5394., dw = -0.07043, nw = 1651 130928.0036.ec.fits: ap = 53, w1 = 5457.738, w2 = 5342.638, dw = -0.06976, nw = 1651 130928.0036.ec.fits: ap = 54, w1 = 5406.258, w2 = 5292.245, dw = -0.0691, nw = 1651 130928.0036.ec.fits: ap = 55, w1 = 5355.741, w2 = 5242.795, dw = -0.06845, nw = 1651 130928.0036.ec.fits: ap = 56, w1 = 5306.159, w2 = 5194.26, dw = -0.06782, nw = 1651 130928.0036.ec.fits: ap = 57, w1 = 5257.487, w2 = 5146.617, dw = -0.06719, nw = 1651 130928.0036.ec.fits: ap = 58, w1 = 5209.699, w2 = 5099.839, dw = -0.06658, nw = 1651 130928.0036.ec.fits: ap = 59, w1 = 5162.773, w2 = 5053.904, dw = -0.06598, nw = 1651 130928.0036.ec.fits: ap = 60, w1 = 5116.685, w2 = 5008.79, dw = -0.06539, nw = 1651 130928.0036.ec.fits: ap = 61, w1 = 5071.413, w2 = 4964.474, dw = -0.06481, nw = 1651 130928.0036.ec.fits: ap = 62, w1 = 5026.935, w2 = 4920.936, dw = -0.06424, nw = 1651 130928.0036.ec.fits: ap = 63, w1 = 4983.231, w2 = 4878.155, dw = -0.06368, nw = 1651 130928.0036.ec.fits: ap = 64, w1 = 4940.281, w2 = 4836.112, dw = -0.06313, nw = 1651 130928.0036.ec.fits: ap = 65, w1 = 4898.064, w2 = 4794.788, dw = -0.06259, nw = 1651 130928.0036.ec.fits: ap = 66, w1 = 4856.563, w2 = 4754.164, dw = -0.06206, nw = 1651 130928.0036.ec.fits: ap = 67, w1 = 4815.76, w2 = 4714.223, dw = -0.06154, nw = 1651 130928.0036.ec.fits: ap = 68, w1 = 4775.637, w2 = 4674.948, dw = -0.06102, nw = 1651 130928.0036.ec.fits: ap = 69, w1 = 4736.177, w2 = 4636.322, dw = -0.06052, nw = 1651 130928.0036.ec.fits: ap = 70, w1 = 4697.364, w2 = 4598.329, dw = -0.06002, nw = 1651 130928.0036.ec.fits: ap = 71, w1 = 4659.182, w2 = 4560.954, dw = -0.05953, nw = 1651 130928.0036.ec.fits: ap = 72, w1 = 4621.616, w2 = 4524.183, dw = -0.05905, nw = 1651 130928.0036.ec.fits: ap = 73, w1 = 4584.651, w2 = 4487.999, dw = -0.05858, nw = 1651 130928.0036.ec.fits: ap = 74, w1 = 4548.273, w2 = 4452.39, dw = -0.05811, nw = 1651 130928.0036.ec.fits: ap = 75, w1 = 4512.468, w2 = 4417.342, dw = -0.05765, nw = 1651 130928.0036.ec.fits: ap = 76, w1 = 4477.222, w2 = 4382.841, dw = -0.0572, nw = 1651 130928.0036.ec.fits: ap = 77, w1 = 4442.523, w2 = 4348.876, dw = -0.05676, nw = 1651 130928.0036.ec.fits: ap = 78, w1 = 4408.358, w2 = 4315.433, dw = -0.05632, nw = 1651 130928.0036.ec.fits: ap = 79, w1 = 4374.714, w2 = 4282.501, dw = -0.05589, nw = 1651 130928.0036.ec.fits: ap = 80, w1 = 4341.58, w2 = 4250.067, dw = -0.05546, nw = 1651 130928.0036.ec.fits: ap = 81, w1 = 4308.944, w2 = 4218.122, dw = -0.05504, nw = 1651 130928.0036.ec.fits: ap = 82, w1 = 4276.795, w2 = 4186.653, dw = -0.05463, nw = 1651 130928.0036.ec.fits: ap = 83, w1 = 4245.123, w2 = 4155.651, dw = -0.05423, nw = 1651 130928.0036.ec.fits: ap = 84, w1 = 4213.916, w2 = 4125.105, dw = -0.05382, nw = 1651 130928.0036.ec.fits: ap = 85, w1 = 4183.165, w2 = 4095.004, dw = -0.05343, nw = 1651 130928.0036.ec.fits: ap = 86, w1 = 4152.859, w2 = 4065.34, dw = -0.05304, nw = 1651 130928.0036.ec.fits: ap = 87, w1 = 4122.989, w2 = 4036.103, dw = -0.05266, nw = 1651 130928.0036.ec.fits: ap = 88, w1 = 4093.546, w2 = 4007.283, dw = -0.05228, nw = 1651 130928.0036.ec.fits: ap = 89, w1 = 4064.521, w2 = 3978.872, dw = -0.05191, nw = 1651 130928.0036.ec.fits: ap = 90, w1 = 4035.904, w2 = 3950.862, dw = -0.05154, nw = 1651 130928.0036.ec.fits: ap = 91, w1 = 4007.688, w2 = 3923.243, dw = -0.05118, nw = 1651 130928.0036.ec.fits: ap = 92, w1 = 3979.863, w2 = 3896.008, dw = -0.05082, nw = 1651 130928.0036.ec.fits: ap = 93, w1 = 3952.421, w2 = 3869.149, dw = -0.05047, nw = 1651 130928.0036.ec.fits: ap = 94, w1 = 3925.356, w2 = 3842.657, dw = -0.05012, nw = 1651 130928.0036.ec.fits: ap = 95, w1 = 3898.659, w2 = 3816.526, dw = -0.04978, nw = 1651 130928.0036.ec.fits: ap = 96, w1 = 3872.322, w2 = 3790.748, dw = -0.04944, nw = 1651 130928.0036.ec.fits: ap = 97, w1 = 3846.339, w2 = 3765.316, dw = -0.0491, nw = 1651 130928.0036.ec.fits: ap = 98, w1 = 3820.702, w2 = 3740.223, dw = -0.04878, nw = 1651 130928.0036.ec.fits: ap = 99, w1 = 3795.404, w2 = 3715.463, dw = -0.04845, nw = 1651 130928.0036.ec.fits: ap = 100, w1 = 3770.44, w2 = 3691.028, dw = -0.04813, nw = 1651 130928.0036.ec.fits: ap = 101, w1 = 3745.801, w2 = 3666.912, dw = -0.04781, nw = 1651 130928.0036.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.11, dw = -0.0475, nw = 1651 130928.0036.ec.fits: ap = 103, w1 = 3697.477, w2 = 3619.615, dw = -0.04719, nw = 1651 130928.0036.ec.fits: ap = 104, w1 = 3673.779, w2 = 3596.421, dw = -0.04688, nw = 1651 130928.0036.ec.fits: ap = 105, w1 = 3650.383, w2 = 3573.523, dw = -0.04658, nw = 1651 130928.0036.ec.fits: ap = 106, w1 = 3627.283, w2 = 3550.914, dw = -0.04628, nw = 1651 130928.0036.ec.fits: ap = 107, w1 = 3604.473, w2 = 3528.589, dw = -0.04599, nw = 1651 130928.0036.ec.fits: ap = 108, w1 = 3581.948, w2 = 3506.544, dw = -0.0457, nw = 1651 130928.0036.ec.fits: ap = 109, w1 = 3559.702, w2 = 3484.772, dw = -0.04541, nw = 1651 130928.0036.ec.fits: ap = 110, w1 = 3537.731, w2 = 3463.27, dw = -0.04513, nw = 1651 130928.0036.ec.fits: ap = 111, w1 = 3516.029, w2 = 3442.03, dw = -0.04485, nw = 1651 130928.0036.ec.fits: ap = 112, w1 = 3494.592, w2 = 3421.05, dw = -0.04457, nw = 1651 130928.0036.ec.fits: ap = 113, w1 = 3473.414, w2 = 3400.324, dw = -0.0443, nw = 1651 130928.0036.ec.fits: ap = 114, w1 = 3452.491, w2 = 3379.848, dw = -0.04403, nw = 1651 130928.0036.ec.fits: ap = 115, w1 = 3431.818, w2 = 3359.617, dw = -0.04376, nw = 1651 130928.0037.ec.fits: REFSPEC1 = 'ThAr.0032.ec 0.11632913' 130928.0037.ec.fits: REFSPEC2 = 'ThAr.0038.ec 0.88367087' 130928.0037.ec.fits: ap = 1, w1 = 10811.72, w2 = 10583.55, dw = -0.13828, nw = 1651 130928.0037.ec.fits: ap = 2, w1 = 10611.52, w2 = 10387.58, dw = -0.13572, nw = 1651 130928.0037.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.73, dw = -0.13326, nw = 1651 130928.0037.ec.fits: ap = 4, w1 = 10232.58, w2 = 10016.63, dw = -0.13088, nw = 1651 130928.0037.ec.fits: ap = 5, w1 = 10053.07, w2 = 9840.919, dw = -0.12858, nw = 1651 130928.0037.ec.fits: ap = 6, w1 = 9879.762, w2 = 9671.265, dw = -0.12636, nw = 1651 130928.0037.ec.fits: ap = 7, w1 = 9712.324, w2 = 9507.362, dw = -0.12422, nw = 1651 130928.0037.ec.fits: ap = 8, w1 = 9550.467, w2 = 9348.923, dw = -0.12215, nw = 1651 130928.0037.ec.fits: ap = 9, w1 = 9393.917, w2 = 9195.677, dw = -0.12015, nw = 1651 130928.0037.ec.fits: ap = 10, w1 = 9242.416, w2 = 9047.376, dw = -0.11821, nw = 1651 130928.0037.ec.fits: ap = 11, w1 = 9095.725, w2 = 8903.781, dw = -0.11633, nw = 1651 130928.0037.ec.fits: ap = 12, w1 = 8953.617, w2 = 8764.674, dw = -0.11451, nw = 1651 130928.0037.ec.fits: ap = 13, w1 = 8815.882, w2 = 8629.848, dw = -0.11275, nw = 1651 130928.0037.ec.fits: ap = 14, w1 = 8682.32, w2 = 8499.106, dw = -0.11104, nw = 1651 130928.0037.ec.fits: ap = 15, w1 = 8552.745, w2 = 8372.267, dw = -0.10938, nw = 1651 130928.0037.ec.fits: ap = 16, w1 = 8426.981, w2 = 8249.159, dw = -0.10777, nw = 1651 130928.0037.ec.fits: ap = 17, w1 = 8304.861, w2 = 8129.619, dw = -0.10621, nw = 1651 130928.0037.ec.fits: ap = 18, w1 = 8186.231, w2 = 8013.494, dw = -0.10469, nw = 1651 130928.0037.ec.fits: ap = 19, w1 = 8070.943, w2 = 7900.641, dw = -0.10321, nw = 1651 130928.0037.ec.fits: ap = 20, w1 = 7958.856, w2 = 7790.922, dw = -0.10178, nw = 1651 130928.0037.ec.fits: ap = 21, w1 = 7849.841, w2 = 7684.209, dw = -0.10038, nw = 1651 130928.0037.ec.fits: ap = 22, w1 = 7743.772, w2 = 7580.38, dw = -0.09903, nw = 1651 130928.0037.ec.fits: ap = 23, w1 = 7640.531, w2 = 7479.32, dw = -0.0977, nw = 1651 130928.0037.ec.fits: ap = 24, w1 = 7540.007, w2 = 7380.919, dw = -0.09642, nw = 1651 130928.0037.ec.fits: ap = 25, w1 = 7442.094, w2 = 7285.074, dw = -0.09516, nw = 1651 130928.0037.ec.fits: ap = 26, w1 = 7346.691, w2 = 7191.687, dw = -0.09394, nw = 1651 130928.0037.ec.fits: ap = 27, w1 = 7253.704, w2 = 7100.664, dw = -0.09275, nw = 1651 130928.0037.ec.fits: ap = 28, w1 = 7163.041, w2 = 7011.916, dw = -0.09159, nw = 1651 130928.0037.ec.fits: ap = 29, w1 = 7074.617, w2 = 6925.36, dw = -0.09046, nw = 1651 130928.0037.ec.fits: ap = 30, w1 = 6988.35, w2 = 6840.915, dw = -0.08935, nw = 1651 130928.0037.ec.fits: ap = 31, w1 = 6904.161, w2 = 6758.505, dw = -0.08828, nw = 1651 130928.0037.ec.fits: ap = 32, w1 = 6821.977, w2 = 6678.057, dw = -0.08722, nw = 1651 130928.0037.ec.fits: ap = 33, w1 = 6741.727, w2 = 6599.502, dw = -0.0862, nw = 1651 130928.0037.ec.fits: ap = 34, w1 = 6663.343, w2 = 6522.774, dw = -0.08519, nw = 1651 130928.0037.ec.fits: ap = 35, w1 = 6586.761, w2 = 6447.81, dw = -0.08421, nw = 1651 130928.0037.ec.fits: ap = 36, w1 = 6511.919, w2 = 6374.549, dw = -0.08325, nw = 1651 130928.0037.ec.fits: ap = 37, w1 = 6438.76, w2 = 6302.935, dw = -0.08232, nw = 1651 130928.0037.ec.fits: ap = 38, w1 = 6367.226, w2 = 6232.912, dw = -0.0814, nw = 1651 130928.0037.ec.fits: ap = 39, w1 = 6297.264, w2 = 6164.429, dw = -0.08051, nw = 1651 130928.0037.ec.fits: ap = 40, w1 = 6228.824, w2 = 6097.434, dw = -0.07963, nw = 1651 130928.0037.ec.fits: ap = 41, w1 = 6161.855, w2 = 6031.88, dw = -0.07877, nw = 1651 130928.0037.ec.fits: ap = 42, w1 = 6096.312, w2 = 5967.721, dw = -0.07793, nw = 1651 130928.0037.ec.fits: ap = 43, w1 = 6032.148, w2 = 5904.913, dw = -0.07711, nw = 1651 130928.0037.ec.fits: ap = 44, w1 = 5969.321, w2 = 5843.413, dw = -0.07631, nw = 1651 130928.0037.ec.fits: ap = 45, w1 = 5907.789, w2 = 5783.181, dw = -0.07552, nw = 1651 130928.0037.ec.fits: ap = 46, w1 = 5847.514, w2 = 5724.179, dw = -0.07475, nw = 1651 130928.0037.ec.fits: ap = 47, w1 = 5788.456, w2 = 5666.369, dw = -0.07399, nw = 1651 130928.0037.ec.fits: ap = 48, w1 = 5730.579, w2 = 5609.715, dw = -0.07325, nw = 1651 130928.0037.ec.fits: ap = 49, w1 = 5673.849, w2 = 5554.183, dw = -0.07253, nw = 1651 130928.0037.ec.fits: ap = 50, w1 = 5618.231, w2 = 5499.74, dw = -0.07181, nw = 1651 130928.0037.ec.fits: ap = 51, w1 = 5563.693, w2 = 5446.354, dw = -0.07111, nw = 1651 130928.0037.ec.fits: ap = 52, w1 = 5510.204, w2 = 5393.995, dw = -0.07043, nw = 1651 130928.0037.ec.fits: ap = 53, w1 = 5457.734, w2 = 5342.633, dw = -0.06976, nw = 1651 130928.0037.ec.fits: ap = 54, w1 = 5406.254, w2 = 5292.241, dw = -0.0691, nw = 1651 130928.0037.ec.fits: ap = 55, w1 = 5355.737, w2 = 5242.79, dw = -0.06845, nw = 1651 130928.0037.ec.fits: ap = 56, w1 = 5306.154, w2 = 5194.256, dw = -0.06782, nw = 1651 130928.0037.ec.fits: ap = 57, w1 = 5257.482, w2 = 5146.612, dw = -0.06719, nw = 1651 130928.0037.ec.fits: ap = 58, w1 = 5209.695, w2 = 5099.834, dw = -0.06658, nw = 1651 130928.0037.ec.fits: ap = 59, w1 = 5162.769, w2 = 5053.899, dw = -0.06598, nw = 1651 130928.0037.ec.fits: ap = 60, w1 = 5116.681, w2 = 5008.785, dw = -0.06539, nw = 1651 130928.0037.ec.fits: ap = 61, w1 = 5071.409, w2 = 4964.469, dw = -0.06481, nw = 1651 130928.0037.ec.fits: ap = 62, w1 = 5026.931, w2 = 4920.931, dw = -0.06424, nw = 1651 130928.0037.ec.fits: ap = 63, w1 = 4983.227, w2 = 4878.15, dw = -0.06368, nw = 1651 130928.0037.ec.fits: ap = 64, w1 = 4940.276, w2 = 4836.107, dw = -0.06313, nw = 1651 130928.0037.ec.fits: ap = 65, w1 = 4898.059, w2 = 4794.783, dw = -0.06259, nw = 1651 130928.0037.ec.fits: ap = 66, w1 = 4856.559, w2 = 4754.159, dw = -0.06206, nw = 1651 130928.0037.ec.fits: ap = 67, w1 = 4815.755, w2 = 4714.218, dw = -0.06154, nw = 1651 130928.0037.ec.fits: ap = 68, w1 = 4775.632, w2 = 4674.943, dw = -0.06102, nw = 1651 130928.0037.ec.fits: ap = 69, w1 = 4736.172, w2 = 4636.317, dw = -0.06052, nw = 1651 130928.0037.ec.fits: ap = 70, w1 = 4697.359, w2 = 4598.324, dw = -0.06002, nw = 1651 130928.0037.ec.fits: ap = 71, w1 = 4659.177, w2 = 4560.949, dw = -0.05953, nw = 1651 130928.0037.ec.fits: ap = 72, w1 = 4621.611, w2 = 4524.177, dw = -0.05905, nw = 1651 130928.0037.ec.fits: ap = 73, w1 = 4584.646, w2 = 4487.994, dw = -0.05858, nw = 1651 130928.0037.ec.fits: ap = 74, w1 = 4548.268, w2 = 4452.385, dw = -0.05811, nw = 1651 130928.0037.ec.fits: ap = 75, w1 = 4512.463, w2 = 4417.337, dw = -0.05765, nw = 1651 130928.0037.ec.fits: ap = 76, w1 = 4477.217, w2 = 4382.836, dw = -0.0572, nw = 1651 130928.0037.ec.fits: ap = 77, w1 = 4442.518, w2 = 4348.871, dw = -0.05676, nw = 1651 130928.0037.ec.fits: ap = 78, w1 = 4408.353, w2 = 4315.428, dw = -0.05632, nw = 1651 130928.0037.ec.fits: ap = 79, w1 = 4374.709, w2 = 4282.496, dw = -0.05589, nw = 1651 130928.0037.ec.fits: ap = 80, w1 = 4341.575, w2 = 4250.062, dw = -0.05546, nw = 1651 130928.0037.ec.fits: ap = 81, w1 = 4308.939, w2 = 4218.117, dw = -0.05504, nw = 1651 130928.0037.ec.fits: ap = 82, w1 = 4276.79, w2 = 4186.649, dw = -0.05463, nw = 1651 130928.0037.ec.fits: ap = 83, w1 = 4245.117, w2 = 4155.646, dw = -0.05422, nw = 1651 130928.0037.ec.fits: ap = 84, w1 = 4213.911, w2 = 4125.1, dw = -0.05382, nw = 1651 130928.0037.ec.fits: ap = 85, w1 = 4183.159, w2 = 4095., dw = -0.05343, nw = 1651 130928.0037.ec.fits: ap = 86, w1 = 4152.854, w2 = 4065.336, dw = -0.05304, nw = 1651 130928.0037.ec.fits: ap = 87, w1 = 4122.984, w2 = 4036.099, dw = -0.05266, nw = 1651 130928.0037.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.28, dw = -0.05228, nw = 1651 130928.0037.ec.fits: ap = 89, w1 = 4064.516, w2 = 3978.869, dw = -0.05191, nw = 1651 130928.0037.ec.fits: ap = 90, w1 = 4035.899, w2 = 3950.859, dw = -0.05154, nw = 1651 130928.0037.ec.fits: ap = 91, w1 = 4007.682, w2 = 3923.241, dw = -0.05118, nw = 1651 130928.0037.ec.fits: ap = 92, w1 = 3979.858, w2 = 3896.006, dw = -0.05082, nw = 1651 130928.0037.ec.fits: ap = 93, w1 = 3952.417, w2 = 3869.147, dw = -0.05047, nw = 1651 130928.0037.ec.fits: ap = 94, w1 = 3925.351, w2 = 3842.655, dw = -0.05012, nw = 1651 130928.0037.ec.fits: ap = 95, w1 = 3898.654, w2 = 3816.525, dw = -0.04978, nw = 1651 130928.0037.ec.fits: ap = 96, w1 = 3872.318, w2 = 3790.747, dw = -0.04944, nw = 1651 130928.0037.ec.fits: ap = 97, w1 = 3846.334, w2 = 3765.316, dw = -0.0491, nw = 1651 130928.0037.ec.fits: ap = 98, w1 = 3820.698, w2 = 3740.223, dw = -0.04877, nw = 1651 130928.0037.ec.fits: ap = 99, w1 = 3795.4, w2 = 3715.463, dw = -0.04845, nw = 1651 130928.0037.ec.fits: ap = 100, w1 = 3770.435, w2 = 3691.029, dw = -0.04812, nw = 1651 130928.0037.ec.fits: ap = 101, w1 = 3745.797, w2 = 3666.915, dw = -0.04781, nw = 1651 130928.0037.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.113, dw = -0.04749, nw = 1651 130928.0037.ec.fits: ap = 103, w1 = 3697.473, w2 = 3619.619, dw = -0.04718, nw = 1651 130928.0037.ec.fits: ap = 104, w1 = 3673.775, w2 = 3596.425, dw = -0.04688, nw = 1651 130928.0037.ec.fits: ap = 105, w1 = 3650.379, w2 = 3573.528, dw = -0.04658, nw = 1651 130928.0037.ec.fits: ap = 106, w1 = 3627.279, w2 = 3550.92, dw = -0.04628, nw = 1651 130928.0037.ec.fits: ap = 107, w1 = 3604.47, w2 = 3528.596, dw = -0.04598, nw = 1651 130928.0037.ec.fits: ap = 108, w1 = 3581.945, w2 = 3506.552, dw = -0.04569, nw = 1651 130928.0037.ec.fits: ap = 109, w1 = 3559.7, w2 = 3484.781, dw = -0.04541, nw = 1651 130928.0037.ec.fits: ap = 110, w1 = 3537.729, w2 = 3463.279, dw = -0.04512, nw = 1651 130928.0037.ec.fits: ap = 111, w1 = 3516.028, w2 = 3442.041, dw = -0.04484, nw = 1651 130928.0037.ec.fits: ap = 112, w1 = 3494.591, w2 = 3421.062, dw = -0.04456, nw = 1651 130928.0037.ec.fits: ap = 113, w1 = 3473.413, w2 = 3400.337, dw = -0.04429, nw = 1651 130928.0037.ec.fits: ap = 114, w1 = 3452.49, w2 = 3379.862, dw = -0.04402, nw = 1651 130928.0037.ec.fits: ap = 115, w1 = 3431.818, w2 = 3359.632, dw = -0.04375, nw = 1651 130928.0039.ec.fits: REFSPEC1 = 'ThAr.0038.ec 0.88208151' 130928.0039.ec.fits: REFSPEC2 = 'ThAr.0044.ec 0.11791851' 130928.0039.ec.fits: ap = 1, w1 = 10811.71, w2 = 10583.54, dw = -0.13829, nw = 1651 130928.0039.ec.fits: ap = 2, w1 = 10611.52, w2 = 10387.57, dw = -0.13573, nw = 1651 130928.0039.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.72, dw = -0.13326, nw = 1651 130928.0039.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.62, dw = -0.13088, nw = 1651 130928.0039.ec.fits: ap = 5, w1 = 10053.07, w2 = 9840.909, dw = -0.12858, nw = 1651 130928.0039.ec.fits: ap = 6, w1 = 9879.755, w2 = 9671.255, dw = -0.12636, nw = 1651 130928.0039.ec.fits: ap = 7, w1 = 9712.317, w2 = 9507.353, dw = -0.12422, nw = 1651 130928.0039.ec.fits: ap = 8, w1 = 9550.461, w2 = 9348.913, dw = -0.12215, nw = 1651 130928.0039.ec.fits: ap = 9, w1 = 9393.91, w2 = 9195.668, dw = -0.12015, nw = 1651 130928.0039.ec.fits: ap = 10, w1 = 9242.409, w2 = 9047.366, dw = -0.11821, nw = 1651 130928.0039.ec.fits: ap = 11, w1 = 9095.719, w2 = 8903.773, dw = -0.11633, nw = 1651 130928.0039.ec.fits: ap = 12, w1 = 8953.611, w2 = 8764.666, dw = -0.11451, nw = 1651 130928.0039.ec.fits: ap = 13, w1 = 8815.876, w2 = 8629.84, dw = -0.11275, nw = 1651 130928.0039.ec.fits: ap = 14, w1 = 8682.314, w2 = 8499.099, dw = -0.11104, nw = 1651 130928.0039.ec.fits: ap = 15, w1 = 8552.739, w2 = 8372.26, dw = -0.10938, nw = 1651 130928.0039.ec.fits: ap = 16, w1 = 8426.975, w2 = 8249.152, dw = -0.10777, nw = 1651 130928.0039.ec.fits: ap = 17, w1 = 8304.856, w2 = 8129.612, dw = -0.10621, nw = 1651 130928.0039.ec.fits: ap = 18, w1 = 8186.225, w2 = 8013.487, dw = -0.10469, nw = 1651 130928.0039.ec.fits: ap = 19, w1 = 8070.937, w2 = 7900.634, dw = -0.10321, nw = 1651 130928.0039.ec.fits: ap = 20, w1 = 7958.851, w2 = 7790.915, dw = -0.10178, nw = 1651 130928.0039.ec.fits: ap = 21, w1 = 7849.835, w2 = 7684.202, dw = -0.10038, nw = 1651 130928.0039.ec.fits: ap = 22, w1 = 7743.766, w2 = 7580.373, dw = -0.09903, nw = 1651 130928.0039.ec.fits: ap = 23, w1 = 7640.525, w2 = 7479.313, dw = -0.0977, nw = 1651 130928.0039.ec.fits: ap = 24, w1 = 7540.001, w2 = 7380.913, dw = -0.09642, nw = 1651 130928.0039.ec.fits: ap = 25, w1 = 7442.089, w2 = 7285.068, dw = -0.09516, nw = 1651 130928.0039.ec.fits: ap = 26, w1 = 7346.686, w2 = 7191.681, dw = -0.09394, nw = 1651 130928.0039.ec.fits: ap = 27, w1 = 7253.699, w2 = 7100.658, dw = -0.09275, nw = 1651 130928.0039.ec.fits: ap = 28, w1 = 7163.036, w2 = 7011.91, dw = -0.09159, nw = 1651 130928.0039.ec.fits: ap = 29, w1 = 7074.612, w2 = 6925.354, dw = -0.09046, nw = 1651 130928.0039.ec.fits: ap = 30, w1 = 6988.345, w2 = 6840.909, dw = -0.08935, nw = 1651 130928.0039.ec.fits: ap = 31, w1 = 6904.157, w2 = 6758.499, dw = -0.08828, nw = 1651 130928.0039.ec.fits: ap = 32, w1 = 6821.973, w2 = 6678.051, dw = -0.08722, nw = 1651 130928.0039.ec.fits: ap = 33, w1 = 6741.722, w2 = 6599.496, dw = -0.0862, nw = 1651 130928.0039.ec.fits: ap = 34, w1 = 6663.338, w2 = 6522.768, dw = -0.08519, nw = 1651 130928.0039.ec.fits: ap = 35, w1 = 6586.756, w2 = 6447.804, dw = -0.08421, nw = 1651 130928.0039.ec.fits: ap = 36, w1 = 6511.915, w2 = 6374.544, dw = -0.08326, nw = 1651 130928.0039.ec.fits: ap = 37, w1 = 6438.755, w2 = 6302.93, dw = -0.08232, nw = 1651 130928.0039.ec.fits: ap = 38, w1 = 6367.222, w2 = 6232.907, dw = -0.0814, nw = 1651 130928.0039.ec.fits: ap = 39, w1 = 6297.26, w2 = 6164.423, dw = -0.08051, nw = 1651 130928.0039.ec.fits: ap = 40, w1 = 6228.82, w2 = 6097.429, dw = -0.07963, nw = 1651 130928.0039.ec.fits: ap = 41, w1 = 6161.851, w2 = 6031.875, dw = -0.07877, nw = 1651 130928.0039.ec.fits: ap = 42, w1 = 6096.308, w2 = 5967.716, dw = -0.07793, nw = 1651 130928.0039.ec.fits: ap = 43, w1 = 6032.144, w2 = 5904.908, dw = -0.07711, nw = 1651 130928.0039.ec.fits: ap = 44, w1 = 5969.317, w2 = 5843.408, dw = -0.07631, nw = 1651 130928.0039.ec.fits: ap = 45, w1 = 5907.786, w2 = 5783.176, dw = -0.07552, nw = 1651 130928.0039.ec.fits: ap = 46, w1 = 5847.51, w2 = 5724.174, dw = -0.07475, nw = 1651 130928.0039.ec.fits: ap = 47, w1 = 5788.452, w2 = 5666.364, dw = -0.07399, nw = 1651 130928.0039.ec.fits: ap = 48, w1 = 5730.576, w2 = 5609.71, dw = -0.07325, nw = 1651 130928.0039.ec.fits: ap = 49, w1 = 5673.845, w2 = 5554.178, dw = -0.07253, nw = 1651 130928.0039.ec.fits: ap = 50, w1 = 5618.227, w2 = 5499.735, dw = -0.07181, nw = 1651 130928.0039.ec.fits: ap = 51, w1 = 5563.688, w2 = 5446.348, dw = -0.07112, nw = 1651 130928.0039.ec.fits: ap = 52, w1 = 5510.2, w2 = 5393.989, dw = -0.07043, nw = 1651 130928.0039.ec.fits: ap = 53, w1 = 5457.729, w2 = 5342.628, dw = -0.06976, nw = 1651 130928.0039.ec.fits: ap = 54, w1 = 5406.25, w2 = 5292.235, dw = -0.0691, nw = 1651 130928.0039.ec.fits: ap = 55, w1 = 5355.732, w2 = 5242.785, dw = -0.06845, nw = 1651 130928.0039.ec.fits: ap = 56, w1 = 5306.15, w2 = 5194.251, dw = -0.06782, nw = 1651 130928.0039.ec.fits: ap = 57, w1 = 5257.478, w2 = 5146.607, dw = -0.06719, nw = 1651 130928.0039.ec.fits: ap = 58, w1 = 5209.691, w2 = 5099.829, dw = -0.06658, nw = 1651 130928.0039.ec.fits: ap = 59, w1 = 5162.765, w2 = 5053.895, dw = -0.06598, nw = 1651 130928.0039.ec.fits: ap = 60, w1 = 5116.677, w2 = 5008.78, dw = -0.06539, nw = 1651 130928.0039.ec.fits: ap = 61, w1 = 5071.405, w2 = 4964.465, dw = -0.06481, nw = 1651 130928.0039.ec.fits: ap = 62, w1 = 5026.927, w2 = 4920.927, dw = -0.06424, nw = 1651 130928.0039.ec.fits: ap = 63, w1 = 4983.222, w2 = 4878.146, dw = -0.06368, nw = 1651 130928.0039.ec.fits: ap = 64, w1 = 4940.272, w2 = 4836.103, dw = -0.06313, nw = 1651 130928.0039.ec.fits: ap = 65, w1 = 4898.055, w2 = 4794.778, dw = -0.06259, nw = 1651 130928.0039.ec.fits: ap = 66, w1 = 4856.555, w2 = 4754.155, dw = -0.06206, nw = 1651 130928.0039.ec.fits: ap = 67, w1 = 4815.752, w2 = 4714.214, dw = -0.06154, nw = 1651 130928.0039.ec.fits: ap = 68, w1 = 4775.628, w2 = 4674.939, dw = -0.06102, nw = 1651 130928.0039.ec.fits: ap = 69, w1 = 4736.169, w2 = 4636.313, dw = -0.06052, nw = 1651 130928.0039.ec.fits: ap = 70, w1 = 4697.356, w2 = 4598.32, dw = -0.06002, nw = 1651 130928.0039.ec.fits: ap = 71, w1 = 4659.174, w2 = 4560.945, dw = -0.05953, nw = 1651 130928.0039.ec.fits: ap = 72, w1 = 4621.608, w2 = 4524.174, dw = -0.05905, nw = 1651 130928.0039.ec.fits: ap = 73, w1 = 4584.643, w2 = 4487.99, dw = -0.05858, nw = 1651 130928.0039.ec.fits: ap = 74, w1 = 4548.265, w2 = 4452.381, dw = -0.05811, nw = 1651 130928.0039.ec.fits: ap = 75, w1 = 4512.46, w2 = 4417.333, dw = -0.05765, nw = 1651 130928.0039.ec.fits: ap = 76, w1 = 4477.215, w2 = 4382.833, dw = -0.0572, nw = 1651 130928.0039.ec.fits: ap = 77, w1 = 4442.516, w2 = 4348.867, dw = -0.05676, nw = 1651 130928.0039.ec.fits: ap = 78, w1 = 4408.35, w2 = 4315.425, dw = -0.05632, nw = 1651 130928.0039.ec.fits: ap = 79, w1 = 4374.707, w2 = 4282.493, dw = -0.05589, nw = 1651 130928.0039.ec.fits: ap = 80, w1 = 4341.573, w2 = 4250.06, dw = -0.05546, nw = 1651 130928.0039.ec.fits: ap = 81, w1 = 4308.937, w2 = 4218.114, dw = -0.05504, nw = 1651 130928.0039.ec.fits: ap = 82, w1 = 4276.789, w2 = 4186.646, dw = -0.05463, nw = 1651 130928.0039.ec.fits: ap = 83, w1 = 4245.117, w2 = 4155.644, dw = -0.05423, nw = 1651 130928.0039.ec.fits: ap = 84, w1 = 4213.91, w2 = 4125.098, dw = -0.05383, nw = 1651 130928.0039.ec.fits: ap = 85, w1 = 4183.159, w2 = 4094.998, dw = -0.05343, nw = 1651 130928.0039.ec.fits: ap = 86, w1 = 4152.853, w2 = 4065.333, dw = -0.05304, nw = 1651 130928.0039.ec.fits: ap = 87, w1 = 4122.984, w2 = 4036.096, dw = -0.05266, nw = 1651 130928.0039.ec.fits: ap = 88, w1 = 4093.541, w2 = 4007.276, dw = -0.05228, nw = 1651 130928.0039.ec.fits: ap = 89, w1 = 4064.516, w2 = 3978.866, dw = -0.05191, nw = 1651 130928.0039.ec.fits: ap = 90, w1 = 4035.9, w2 = 3950.856, dw = -0.05154, nw = 1651 130928.0039.ec.fits: ap = 91, w1 = 4007.683, w2 = 3923.237, dw = -0.05118, nw = 1651 130928.0039.ec.fits: ap = 92, w1 = 3979.859, w2 = 3896.002, dw = -0.05082, nw = 1651 130928.0039.ec.fits: ap = 93, w1 = 3952.418, w2 = 3869.143, dw = -0.05047, nw = 1651 130928.0039.ec.fits: ap = 94, w1 = 3925.353, w2 = 3842.652, dw = -0.05012, nw = 1651 130928.0039.ec.fits: ap = 95, w1 = 3898.657, w2 = 3816.521, dw = -0.04978, nw = 1651 130928.0039.ec.fits: ap = 96, w1 = 3872.321, w2 = 3790.743, dw = -0.04944, nw = 1651 130928.0039.ec.fits: ap = 97, w1 = 3846.338, w2 = 3765.312, dw = -0.04911, nw = 1651 130928.0039.ec.fits: ap = 98, w1 = 3820.702, w2 = 3740.219, dw = -0.04878, nw = 1651 130928.0039.ec.fits: ap = 99, w1 = 3795.405, w2 = 3715.459, dw = -0.04845, nw = 1651 130928.0039.ec.fits: ap = 100, w1 = 3770.441, w2 = 3691.025, dw = -0.04813, nw = 1651 130928.0039.ec.fits: ap = 101, w1 = 3745.803, w2 = 3666.91, dw = -0.04781, nw = 1651 130928.0039.ec.fits: ap = 102, w1 = 3721.485, w2 = 3643.108, dw = -0.0475, nw = 1651 130928.0039.ec.fits: ap = 103, w1 = 3697.48, w2 = 3619.614, dw = -0.04719, nw = 1651 130928.0039.ec.fits: ap = 104, w1 = 3673.783, w2 = 3596.42, dw = -0.04689, nw = 1651 130928.0039.ec.fits: ap = 105, w1 = 3650.388, w2 = 3573.523, dw = -0.04659, nw = 1651 130928.0039.ec.fits: ap = 106, w1 = 3627.289, w2 = 3550.915, dw = -0.04629, nw = 1651 130928.0039.ec.fits: ap = 107, w1 = 3604.48, w2 = 3528.591, dw = -0.04599, nw = 1651 130928.0039.ec.fits: ap = 108, w1 = 3581.956, w2 = 3506.546, dw = -0.0457, nw = 1651 130928.0039.ec.fits: ap = 109, w1 = 3559.711, w2 = 3484.775, dw = -0.04542, nw = 1651 130928.0039.ec.fits: ap = 110, w1 = 3537.742, w2 = 3463.273, dw = -0.04513, nw = 1651 130928.0039.ec.fits: ap = 111, w1 = 3516.041, w2 = 3442.035, dw = -0.04485, nw = 1651 130928.0039.ec.fits: ap = 112, w1 = 3494.605, w2 = 3421.056, dw = -0.04458, nw = 1651 130928.0039.ec.fits: ap = 113, w1 = 3473.428, w2 = 3400.331, dw = -0.0443, nw = 1651 130928.0039.ec.fits: ap = 114, w1 = 3452.507, w2 = 3379.855, dw = -0.04403, nw = 1651 130928.0039.ec.fits: ap = 115, w1 = 3431.835, w2 = 3359.625, dw = -0.04376, nw = 1651 130928.0040.ec.fits: REFSPEC1 = 'ThAr.0038.ec 0.69112158' 130928.0040.ec.fits: REFSPEC2 = 'ThAr.0044.ec 0.30887845' 130928.0040.ec.fits: ap = 1, w1 = 10811.71, w2 = 10583.52, dw = -0.1383, nw = 1651 130928.0040.ec.fits: ap = 2, w1 = 10611.51, w2 = 10387.55, dw = -0.13573, nw = 1651 130928.0040.ec.fits: ap = 3, w1 = 10418.59, w2 = 10198.71, dw = -0.13326, nw = 1651 130928.0040.ec.fits: ap = 4, w1 = 10232.56, w2 = 10016.61, dw = -0.13088, nw = 1651 130928.0040.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.896, dw = -0.12859, nw = 1651 130928.0040.ec.fits: ap = 6, w1 = 9879.75, w2 = 9671.243, dw = -0.12637, nw = 1651 130928.0040.ec.fits: ap = 7, w1 = 9712.312, w2 = 9507.342, dw = -0.12422, nw = 1651 130928.0040.ec.fits: ap = 8, w1 = 9550.455, w2 = 9348.903, dw = -0.12215, nw = 1651 130928.0040.ec.fits: ap = 9, w1 = 9393.905, w2 = 9195.659, dw = -0.12015, nw = 1651 130928.0040.ec.fits: ap = 10, w1 = 9242.404, w2 = 9047.358, dw = -0.11821, nw = 1651 130928.0040.ec.fits: ap = 11, w1 = 9095.714, w2 = 8903.765, dw = -0.11633, nw = 1651 130928.0040.ec.fits: ap = 12, w1 = 8953.606, w2 = 8764.659, dw = -0.11451, nw = 1651 130928.0040.ec.fits: ap = 13, w1 = 8815.871, w2 = 8629.833, dw = -0.11275, nw = 1651 130928.0040.ec.fits: ap = 14, w1 = 8682.309, w2 = 8499.092, dw = -0.11104, nw = 1651 130928.0040.ec.fits: ap = 15, w1 = 8552.734, w2 = 8372.254, dw = -0.10938, nw = 1651 130928.0040.ec.fits: ap = 16, w1 = 8426.97, w2 = 8249.146, dw = -0.10777, nw = 1651 130928.0040.ec.fits: ap = 17, w1 = 8304.851, w2 = 8129.607, dw = -0.10621, nw = 1651 130928.0040.ec.fits: ap = 18, w1 = 8186.221, w2 = 8013.482, dw = -0.10469, nw = 1651 130928.0040.ec.fits: ap = 19, w1 = 8070.933, w2 = 7900.629, dw = -0.10321, nw = 1651 130928.0040.ec.fits: ap = 20, w1 = 7958.847, w2 = 7790.91, dw = -0.10178, nw = 1651 130928.0040.ec.fits: ap = 21, w1 = 7849.831, w2 = 7684.198, dw = -0.10038, nw = 1651 130928.0040.ec.fits: ap = 22, w1 = 7743.762, w2 = 7580.369, dw = -0.09903, nw = 1651 130928.0040.ec.fits: ap = 23, w1 = 7640.522, w2 = 7479.309, dw = -0.0977, nw = 1651 130928.0040.ec.fits: ap = 24, w1 = 7539.998, w2 = 7380.908, dw = -0.09642, nw = 1651 130928.0040.ec.fits: ap = 25, w1 = 7442.085, w2 = 7285.064, dw = -0.09516, nw = 1651 130928.0040.ec.fits: ap = 26, w1 = 7346.683, w2 = 7191.677, dw = -0.09394, nw = 1651 130928.0040.ec.fits: ap = 27, w1 = 7253.696, w2 = 7100.654, dw = -0.09275, nw = 1651 130928.0040.ec.fits: ap = 28, w1 = 7163.033, w2 = 7011.906, dw = -0.09159, nw = 1651 130928.0040.ec.fits: ap = 29, w1 = 7074.609, w2 = 6925.35, dw = -0.09046, nw = 1651 130928.0040.ec.fits: ap = 30, w1 = 6988.342, w2 = 6840.905, dw = -0.08936, nw = 1651 130928.0040.ec.fits: ap = 31, w1 = 6904.154, w2 = 6758.495, dw = -0.08828, nw = 1651 130928.0040.ec.fits: ap = 32, w1 = 6821.97, w2 = 6678.047, dw = -0.08723, nw = 1651 130928.0040.ec.fits: ap = 33, w1 = 6741.719, w2 = 6599.492, dw = -0.0862, nw = 1651 130928.0040.ec.fits: ap = 34, w1 = 6663.336, w2 = 6522.764, dw = -0.08519, nw = 1651 130928.0040.ec.fits: ap = 35, w1 = 6586.754, w2 = 6447.8, dw = -0.08421, nw = 1651 130928.0040.ec.fits: ap = 36, w1 = 6511.912, w2 = 6374.54, dw = -0.08326, nw = 1651 130928.0040.ec.fits: ap = 37, w1 = 6438.753, w2 = 6302.926, dw = -0.08232, nw = 1651 130928.0040.ec.fits: ap = 38, w1 = 6367.219, w2 = 6232.903, dw = -0.0814, nw = 1651 130928.0040.ec.fits: ap = 39, w1 = 6297.258, w2 = 6164.42, dw = -0.08051, nw = 1651 130928.0040.ec.fits: ap = 40, w1 = 6228.817, w2 = 6097.425, dw = -0.07963, nw = 1651 130928.0040.ec.fits: ap = 41, w1 = 6161.849, w2 = 6031.871, dw = -0.07877, nw = 1651 130928.0040.ec.fits: ap = 42, w1 = 6096.305, w2 = 5967.712, dw = -0.07794, nw = 1651 130928.0040.ec.fits: ap = 43, w1 = 6032.141, w2 = 5904.904, dw = -0.07711, nw = 1651 130928.0040.ec.fits: ap = 44, w1 = 5969.315, w2 = 5843.404, dw = -0.07631, nw = 1651 130928.0040.ec.fits: ap = 45, w1 = 5907.783, w2 = 5783.173, dw = -0.07552, nw = 1651 130928.0040.ec.fits: ap = 46, w1 = 5847.508, w2 = 5724.171, dw = -0.07475, nw = 1651 130928.0040.ec.fits: ap = 47, w1 = 5788.45, w2 = 5666.361, dw = -0.07399, nw = 1651 130928.0040.ec.fits: ap = 48, w1 = 5730.573, w2 = 5609.707, dw = -0.07325, nw = 1651 130928.0040.ec.fits: ap = 49, w1 = 5673.843, w2 = 5554.175, dw = -0.07253, nw = 1651 130928.0040.ec.fits: ap = 50, w1 = 5618.225, w2 = 5499.732, dw = -0.07181, nw = 1651 130928.0040.ec.fits: ap = 51, w1 = 5563.687, w2 = 5446.346, dw = -0.07112, nw = 1651 130928.0040.ec.fits: ap = 52, w1 = 5510.198, w2 = 5393.987, dw = -0.07043, nw = 1651 130928.0040.ec.fits: ap = 53, w1 = 5457.728, w2 = 5342.625, dw = -0.06976, nw = 1651 130928.0040.ec.fits: ap = 54, w1 = 5406.248, w2 = 5292.233, dw = -0.0691, nw = 1651 130928.0040.ec.fits: ap = 55, w1 = 5355.73, w2 = 5242.783, dw = -0.06845, nw = 1651 130928.0040.ec.fits: ap = 56, w1 = 5306.148, w2 = 5194.249, dw = -0.06782, nw = 1651 130928.0040.ec.fits: ap = 57, w1 = 5257.476, w2 = 5146.605, dw = -0.06719, nw = 1651 130928.0040.ec.fits: ap = 58, w1 = 5209.689, w2 = 5099.827, dw = -0.06658, nw = 1651 130928.0040.ec.fits: ap = 59, w1 = 5162.763, w2 = 5053.893, dw = -0.06598, nw = 1651 130928.0040.ec.fits: ap = 60, w1 = 5116.675, w2 = 5008.779, dw = -0.06539, nw = 1651 130928.0040.ec.fits: ap = 61, w1 = 5071.403, w2 = 4964.463, dw = -0.06481, nw = 1651 130928.0040.ec.fits: ap = 62, w1 = 5026.925, w2 = 4920.925, dw = -0.06424, nw = 1651 130928.0040.ec.fits: ap = 63, w1 = 4983.221, w2 = 4878.145, dw = -0.06368, nw = 1651 130928.0040.ec.fits: ap = 64, w1 = 4940.271, w2 = 4836.102, dw = -0.06313, nw = 1651 130928.0040.ec.fits: ap = 65, w1 = 4898.054, w2 = 4794.778, dw = -0.06259, nw = 1651 130928.0040.ec.fits: ap = 66, w1 = 4856.554, w2 = 4754.154, dw = -0.06206, nw = 1651 130928.0040.ec.fits: ap = 67, w1 = 4815.751, w2 = 4714.213, dw = -0.06154, nw = 1651 130928.0040.ec.fits: ap = 68, w1 = 4775.628, w2 = 4674.938, dw = -0.06102, nw = 1651 130928.0040.ec.fits: ap = 69, w1 = 4736.168, w2 = 4636.312, dw = -0.06052, nw = 1651 130928.0040.ec.fits: ap = 70, w1 = 4697.355, w2 = 4598.32, dw = -0.06002, nw = 1651 130928.0040.ec.fits: ap = 71, w1 = 4659.174, w2 = 4560.945, dw = -0.05953, nw = 1651 130928.0040.ec.fits: ap = 72, w1 = 4621.608, w2 = 4524.173, dw = -0.05905, nw = 1651 130928.0040.ec.fits: ap = 73, w1 = 4584.643, w2 = 4487.99, dw = -0.05858, nw = 1651 130928.0040.ec.fits: ap = 74, w1 = 4548.266, w2 = 4452.381, dw = -0.05811, nw = 1651 130928.0040.ec.fits: ap = 75, w1 = 4512.461, w2 = 4417.333, dw = -0.05765, nw = 1651 130928.0040.ec.fits: ap = 76, w1 = 4477.216, w2 = 4382.833, dw = -0.0572, nw = 1651 130928.0040.ec.fits: ap = 77, w1 = 4442.517, w2 = 4348.867, dw = -0.05676, nw = 1651 130928.0040.ec.fits: ap = 78, w1 = 4408.352, w2 = 4315.424, dw = -0.05632, nw = 1651 130928.0040.ec.fits: ap = 79, w1 = 4374.708, w2 = 4282.492, dw = -0.05589, nw = 1651 130928.0040.ec.fits: ap = 80, w1 = 4341.575, w2 = 4250.059, dw = -0.05546, nw = 1651 130928.0040.ec.fits: ap = 81, w1 = 4308.94, w2 = 4218.114, dw = -0.05505, nw = 1651 130928.0040.ec.fits: ap = 82, w1 = 4276.791, w2 = 4186.645, dw = -0.05463, nw = 1651 130928.0040.ec.fits: ap = 83, w1 = 4245.119, w2 = 4155.643, dw = -0.05423, nw = 1651 130928.0040.ec.fits: ap = 84, w1 = 4213.913, w2 = 4125.097, dw = -0.05383, nw = 1651 130928.0040.ec.fits: ap = 85, w1 = 4183.163, w2 = 4094.996, dw = -0.05343, nw = 1651 130928.0040.ec.fits: ap = 86, w1 = 4152.857, w2 = 4065.331, dw = -0.05305, nw = 1651 130928.0040.ec.fits: ap = 87, w1 = 4122.988, w2 = 4036.094, dw = -0.05266, nw = 1651 130928.0040.ec.fits: ap = 88, w1 = 4093.546, w2 = 4007.274, dw = -0.05229, nw = 1651 130928.0040.ec.fits: ap = 89, w1 = 4064.521, w2 = 3978.864, dw = -0.05191, nw = 1651 130928.0040.ec.fits: ap = 90, w1 = 4035.906, w2 = 3950.853, dw = -0.05155, nw = 1651 130928.0040.ec.fits: ap = 91, w1 = 4007.69, w2 = 3923.234, dw = -0.05119, nw = 1651 130928.0040.ec.fits: ap = 92, w1 = 3979.866, w2 = 3895.999, dw = -0.05083, nw = 1651 130928.0040.ec.fits: ap = 93, w1 = 3952.426, w2 = 3869.139, dw = -0.05048, nw = 1651 130928.0040.ec.fits: ap = 94, w1 = 3925.362, w2 = 3842.647, dw = -0.05013, nw = 1651 130928.0040.ec.fits: ap = 95, w1 = 3898.666, w2 = 3816.516, dw = -0.04979, nw = 1651 130928.0040.ec.fits: ap = 96, w1 = 3872.33, w2 = 3790.738, dw = -0.04945, nw = 1651 130928.0040.ec.fits: ap = 97, w1 = 3846.348, w2 = 3765.306, dw = -0.04912, nw = 1651 130928.0040.ec.fits: ap = 98, w1 = 3820.713, w2 = 3740.212, dw = -0.04879, nw = 1651 130928.0040.ec.fits: ap = 99, w1 = 3795.417, w2 = 3715.452, dw = -0.04846, nw = 1651 130928.0040.ec.fits: ap = 100, w1 = 3770.453, w2 = 3691.016, dw = -0.04814, nw = 1651 130928.0040.ec.fits: ap = 101, w1 = 3745.816, w2 = 3666.901, dw = -0.04783, nw = 1651 130928.0040.ec.fits: ap = 102, w1 = 3721.499, w2 = 3643.098, dw = -0.04752, nw = 1651 130928.0040.ec.fits: ap = 103, w1 = 3697.495, w2 = 3619.603, dw = -0.04721, nw = 1651 130928.0040.ec.fits: ap = 104, w1 = 3673.799, w2 = 3596.408, dw = -0.0469, nw = 1651 130928.0040.ec.fits: ap = 105, w1 = 3650.405, w2 = 3573.509, dw = -0.0466, nw = 1651 130928.0040.ec.fits: ap = 106, w1 = 3627.307, w2 = 3550.9, dw = -0.04631, nw = 1651 130928.0040.ec.fits: ap = 107, w1 = 3604.499, w2 = 3528.575, dw = -0.04601, nw = 1651 130928.0040.ec.fits: ap = 108, w1 = 3581.976, w2 = 3506.529, dw = -0.04573, nw = 1651 130928.0040.ec.fits: ap = 109, w1 = 3559.733, w2 = 3484.757, dw = -0.04544, nw = 1651 130928.0040.ec.fits: ap = 110, w1 = 3537.764, w2 = 3463.254, dw = -0.04516, nw = 1651 130928.0040.ec.fits: ap = 111, w1 = 3516.064, w2 = 3442.014, dw = -0.04488, nw = 1651 130928.0040.ec.fits: ap = 112, w1 = 3494.629, w2 = 3421.033, dw = -0.0446, nw = 1651 130928.0040.ec.fits: ap = 113, w1 = 3473.454, w2 = 3400.306, dw = -0.04433, nw = 1651 130928.0040.ec.fits: ap = 114, w1 = 3452.534, w2 = 3379.829, dw = -0.04406, nw = 1651 130928.0040.ec.fits: ap = 115, w1 = 3431.864, w2 = 3359.597, dw = -0.0438, nw = 1651 130928.0041.ec.fits: REFSPEC1 = 'ThAr.0038.ec 0.500166' 130928.0041.ec.fits: REFSPEC2 = 'ThAr.0044.ec 0.499834' 130928.0041.ec.fits: ap = 1, w1 = 10811.7, w2 = 10583.5, dw = -0.1383, nw = 1651 130928.0041.ec.fits: ap = 2, w1 = 10611.5, w2 = 10387.53, dw = -0.13574, nw = 1651 130928.0041.ec.fits: ap = 3, w1 = 10418.59, w2 = 10198.69, dw = -0.13327, nw = 1651 130928.0041.ec.fits: ap = 4, w1 = 10232.56, w2 = 10016.59, dw = -0.13089, nw = 1651 130928.0041.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.882, dw = -0.12859, nw = 1651 130928.0041.ec.fits: ap = 6, w1 = 9879.745, w2 = 9671.231, dw = -0.12637, nw = 1651 130928.0041.ec.fits: ap = 7, w1 = 9712.307, w2 = 9507.331, dw = -0.12423, nw = 1651 130928.0041.ec.fits: ap = 8, w1 = 9550.45, w2 = 9348.893, dw = -0.12216, nw = 1651 130928.0041.ec.fits: ap = 9, w1 = 9393.9, w2 = 9195.65, dw = -0.12015, nw = 1651 130928.0041.ec.fits: ap = 10, w1 = 9242.399, w2 = 9047.35, dw = -0.11821, nw = 1651 130928.0041.ec.fits: ap = 11, w1 = 9095.709, w2 = 8903.758, dw = -0.11633, nw = 1651 130928.0041.ec.fits: ap = 12, w1 = 8953.601, w2 = 8764.652, dw = -0.11451, nw = 1651 130928.0041.ec.fits: ap = 13, w1 = 8815.866, w2 = 8629.826, dw = -0.11275, nw = 1651 130928.0041.ec.fits: ap = 14, w1 = 8682.305, w2 = 8499.086, dw = -0.11104, nw = 1651 130928.0041.ec.fits: ap = 15, w1 = 8552.73, w2 = 8372.248, dw = -0.10938, nw = 1651 130928.0041.ec.fits: ap = 16, w1 = 8426.966, w2 = 8249.14, dw = -0.10777, nw = 1651 130928.0041.ec.fits: ap = 17, w1 = 8304.847, w2 = 8129.601, dw = -0.10621, nw = 1651 130928.0041.ec.fits: ap = 18, w1 = 8186.217, w2 = 8013.477, dw = -0.10469, nw = 1651 130928.0041.ec.fits: ap = 19, w1 = 8070.929, w2 = 7900.624, dw = -0.10322, nw = 1651 130928.0041.ec.fits: ap = 20, w1 = 7958.843, w2 = 7790.905, dw = -0.10178, nw = 1651 130928.0041.ec.fits: ap = 21, w1 = 7849.828, w2 = 7684.193, dw = -0.10038, nw = 1651 130928.0041.ec.fits: ap = 22, w1 = 7743.759, w2 = 7580.364, dw = -0.09903, nw = 1651 130928.0041.ec.fits: ap = 23, w1 = 7640.518, w2 = 7479.304, dw = -0.09771, nw = 1651 130928.0041.ec.fits: ap = 24, w1 = 7539.994, w2 = 7380.904, dw = -0.09642, nw = 1651 130928.0041.ec.fits: ap = 25, w1 = 7442.082, w2 = 7285.059, dw = -0.09516, nw = 1651 130928.0041.ec.fits: ap = 26, w1 = 7346.679, w2 = 7191.672, dw = -0.09394, nw = 1651 130928.0041.ec.fits: ap = 27, w1 = 7253.692, w2 = 7100.649, dw = -0.09275, nw = 1651 130928.0041.ec.fits: ap = 28, w1 = 7163.03, w2 = 7011.902, dw = -0.09159, nw = 1651 130928.0041.ec.fits: ap = 29, w1 = 7074.606, w2 = 6925.346, dw = -0.09046, nw = 1651 130928.0041.ec.fits: ap = 30, w1 = 6988.339, w2 = 6840.901, dw = -0.08936, nw = 1651 130928.0041.ec.fits: ap = 31, w1 = 6904.151, w2 = 6758.491, dw = -0.08828, nw = 1651 130928.0041.ec.fits: ap = 32, w1 = 6821.967, w2 = 6678.043, dw = -0.08723, nw = 1651 130928.0041.ec.fits: ap = 33, w1 = 6741.717, w2 = 6599.488, dw = -0.0862, nw = 1651 130928.0041.ec.fits: ap = 34, w1 = 6663.333, w2 = 6522.76, dw = -0.0852, nw = 1651 130928.0041.ec.fits: ap = 35, w1 = 6586.751, w2 = 6447.796, dw = -0.08422, nw = 1651 130928.0041.ec.fits: ap = 36, w1 = 6511.91, w2 = 6374.536, dw = -0.08326, nw = 1651 130928.0041.ec.fits: ap = 37, w1 = 6438.75, w2 = 6302.922, dw = -0.08232, nw = 1651 130928.0041.ec.fits: ap = 38, w1 = 6367.217, w2 = 6232.899, dw = -0.0814, nw = 1651 130928.0041.ec.fits: ap = 39, w1 = 6297.255, w2 = 6164.416, dw = -0.08051, nw = 1651 130928.0041.ec.fits: ap = 40, w1 = 6228.815, w2 = 6097.421, dw = -0.07963, nw = 1651 130928.0041.ec.fits: ap = 41, w1 = 6161.846, w2 = 6031.867, dw = -0.07878, nw = 1651 130928.0041.ec.fits: ap = 42, w1 = 6096.303, w2 = 5967.708, dw = -0.07794, nw = 1651 130928.0041.ec.fits: ap = 43, w1 = 6032.139, w2 = 5904.9, dw = -0.07711, nw = 1651 130928.0041.ec.fits: ap = 44, w1 = 5969.312, w2 = 5843.401, dw = -0.07631, nw = 1651 130928.0041.ec.fits: ap = 45, w1 = 5907.781, w2 = 5783.169, dw = -0.07552, nw = 1651 130928.0041.ec.fits: ap = 46, w1 = 5847.505, w2 = 5724.167, dw = -0.07475, nw = 1651 130928.0041.ec.fits: ap = 47, w1 = 5788.448, w2 = 5666.357, dw = -0.07399, nw = 1651 130928.0041.ec.fits: ap = 48, w1 = 5730.571, w2 = 5609.704, dw = -0.07325, nw = 1651 130928.0041.ec.fits: ap = 49, w1 = 5673.841, w2 = 5554.172, dw = -0.07253, nw = 1651 130928.0041.ec.fits: ap = 50, w1 = 5618.223, w2 = 5499.729, dw = -0.07181, nw = 1651 130928.0041.ec.fits: ap = 51, w1 = 5563.685, w2 = 5446.343, dw = -0.07112, nw = 1651 130928.0041.ec.fits: ap = 52, w1 = 5510.196, w2 = 5393.984, dw = -0.07043, nw = 1651 130928.0041.ec.fits: ap = 53, w1 = 5457.726, w2 = 5342.623, dw = -0.06976, nw = 1651 130928.0041.ec.fits: ap = 54, w1 = 5406.246, w2 = 5292.231, dw = -0.0691, nw = 1651 130928.0041.ec.fits: ap = 55, w1 = 5355.728, w2 = 5242.781, dw = -0.06845, nw = 1651 130928.0041.ec.fits: ap = 56, w1 = 5306.146, w2 = 5194.246, dw = -0.06782, nw = 1651 130928.0041.ec.fits: ap = 57, w1 = 5257.474, w2 = 5146.603, dw = -0.06719, nw = 1651 130928.0041.ec.fits: ap = 58, w1 = 5209.687, w2 = 5099.826, dw = -0.06658, nw = 1651 130928.0041.ec.fits: ap = 59, w1 = 5162.761, w2 = 5053.891, dw = -0.06598, nw = 1651 130928.0041.ec.fits: ap = 60, w1 = 5116.674, w2 = 5008.777, dw = -0.06539, nw = 1651 130928.0041.ec.fits: ap = 61, w1 = 5071.402, w2 = 4964.462, dw = -0.06481, nw = 1651 130928.0041.ec.fits: ap = 62, w1 = 5026.924, w2 = 4920.924, dw = -0.06424, nw = 1651 130928.0041.ec.fits: ap = 63, w1 = 4983.22, w2 = 4878.144, dw = -0.06368, nw = 1651 130928.0041.ec.fits: ap = 64, w1 = 4940.269, w2 = 4836.101, dw = -0.06313, nw = 1651 130928.0041.ec.fits: ap = 65, w1 = 4898.053, w2 = 4794.777, dw = -0.06259, nw = 1651 130928.0041.ec.fits: ap = 66, w1 = 4856.553, w2 = 4754.153, dw = -0.06206, nw = 1651 130928.0041.ec.fits: ap = 67, w1 = 4815.75, w2 = 4714.212, dw = -0.06154, nw = 1651 130928.0041.ec.fits: ap = 68, w1 = 4775.627, w2 = 4674.937, dw = -0.06102, nw = 1651 130928.0041.ec.fits: ap = 69, w1 = 4736.167, w2 = 4636.312, dw = -0.06052, nw = 1651 130928.0041.ec.fits: ap = 70, w1 = 4697.355, w2 = 4598.319, dw = -0.06002, nw = 1651 130928.0041.ec.fits: ap = 71, w1 = 4659.173, w2 = 4560.945, dw = -0.05953, nw = 1651 130928.0041.ec.fits: ap = 72, w1 = 4621.608, w2 = 4524.173, dw = -0.05905, nw = 1651 130928.0041.ec.fits: ap = 73, w1 = 4584.644, w2 = 4487.99, dw = -0.05858, nw = 1651 130928.0041.ec.fits: ap = 74, w1 = 4548.266, w2 = 4452.381, dw = -0.05811, nw = 1651 130928.0041.ec.fits: ap = 75, w1 = 4512.461, w2 = 4417.333, dw = -0.05765, nw = 1651 130928.0041.ec.fits: ap = 76, w1 = 4477.216, w2 = 4382.832, dw = -0.0572, nw = 1651 130928.0041.ec.fits: ap = 77, w1 = 4442.518, w2 = 4348.867, dw = -0.05676, nw = 1651 130928.0041.ec.fits: ap = 78, w1 = 4408.353, w2 = 4315.424, dw = -0.05632, nw = 1651 130928.0041.ec.fits: ap = 79, w1 = 4374.71, w2 = 4282.492, dw = -0.05589, nw = 1651 130928.0041.ec.fits: ap = 80, w1 = 4341.577, w2 = 4250.059, dw = -0.05547, nw = 1651 130928.0041.ec.fits: ap = 81, w1 = 4308.942, w2 = 4218.113, dw = -0.05505, nw = 1651 130928.0041.ec.fits: ap = 82, w1 = 4276.794, w2 = 4186.644, dw = -0.05464, nw = 1651 130928.0041.ec.fits: ap = 83, w1 = 4245.122, w2 = 4155.642, dw = -0.05423, nw = 1651 130928.0041.ec.fits: ap = 84, w1 = 4213.916, w2 = 4125.096, dw = -0.05383, nw = 1651 130928.0041.ec.fits: ap = 85, w1 = 4183.166, w2 = 4094.995, dw = -0.05344, nw = 1651 130928.0041.ec.fits: ap = 86, w1 = 4152.861, w2 = 4065.33, dw = -0.05305, nw = 1651 130928.0041.ec.fits: ap = 87, w1 = 4122.993, w2 = 4036.092, dw = -0.05267, nw = 1651 130928.0041.ec.fits: ap = 88, w1 = 4093.551, w2 = 4007.273, dw = -0.05229, nw = 1651 130928.0041.ec.fits: ap = 89, w1 = 4064.527, w2 = 3978.861, dw = -0.05192, nw = 1651 130928.0041.ec.fits: ap = 90, w1 = 4035.912, w2 = 3950.85, dw = -0.05155, nw = 1651 130928.0041.ec.fits: ap = 91, w1 = 4007.696, w2 = 3923.231, dw = -0.05119, nw = 1651 130928.0041.ec.fits: ap = 92, w1 = 3979.873, w2 = 3895.995, dw = -0.05084, nw = 1651 130928.0041.ec.fits: ap = 93, w1 = 3952.434, w2 = 3869.135, dw = -0.05048, nw = 1651 130928.0041.ec.fits: ap = 94, w1 = 3925.37, w2 = 3842.643, dw = -0.05014, nw = 1651 130928.0041.ec.fits: ap = 95, w1 = 3898.675, w2 = 3816.511, dw = -0.0498, nw = 1651 130928.0041.ec.fits: ap = 96, w1 = 3872.34, w2 = 3790.732, dw = -0.04946, nw = 1651 130928.0041.ec.fits: ap = 97, w1 = 3846.359, w2 = 3765.299, dw = -0.04913, nw = 1651 130928.0041.ec.fits: ap = 98, w1 = 3820.724, w2 = 3740.205, dw = -0.0488, nw = 1651 130928.0041.ec.fits: ap = 99, w1 = 3795.428, w2 = 3715.444, dw = -0.04848, nw = 1651 130928.0041.ec.fits: ap = 100, w1 = 3770.466, w2 = 3691.008, dw = -0.04816, nw = 1651 130928.0041.ec.fits: ap = 101, w1 = 3745.829, w2 = 3666.891, dw = -0.04784, nw = 1651 130928.0041.ec.fits: ap = 102, w1 = 3721.513, w2 = 3643.088, dw = -0.04753, nw = 1651 130928.0041.ec.fits: ap = 103, w1 = 3697.51, w2 = 3619.591, dw = -0.04722, nw = 1651 130928.0041.ec.fits: ap = 104, w1 = 3673.815, w2 = 3596.396, dw = -0.04692, nw = 1651 130928.0041.ec.fits: ap = 105, w1 = 3650.422, w2 = 3573.496, dw = -0.04662, nw = 1651 130928.0041.ec.fits: ap = 106, w1 = 3627.325, w2 = 3550.886, dw = -0.04633, nw = 1651 130928.0041.ec.fits: ap = 107, w1 = 3604.518, w2 = 3528.56, dw = -0.04604, nw = 1651 130928.0041.ec.fits: ap = 108, w1 = 3581.996, w2 = 3506.512, dw = -0.04575, nw = 1651 130928.0041.ec.fits: ap = 109, w1 = 3559.754, w2 = 3484.739, dw = -0.04546, nw = 1651 130928.0041.ec.fits: ap = 110, w1 = 3537.786, w2 = 3463.234, dw = -0.04518, nw = 1651 130928.0041.ec.fits: ap = 111, w1 = 3516.088, w2 = 3441.993, dw = -0.04491, nw = 1651 130928.0041.ec.fits: ap = 112, w1 = 3494.654, w2 = 3421.011, dw = -0.04463, nw = 1651 130928.0041.ec.fits: ap = 113, w1 = 3473.48, w2 = 3400.282, dw = -0.04436, nw = 1651 130928.0041.ec.fits: ap = 114, w1 = 3452.561, w2 = 3379.804, dw = -0.0441, nw = 1651 130928.0041.ec.fits: ap = 115, w1 = 3431.892, w2 = 3359.57, dw = -0.04383, nw = 1651 130928.0042.ec.fits: REFSPEC1 = 'ThAr.0038.ec 0.30921161' 130928.0042.ec.fits: REFSPEC2 = 'ThAr.0044.ec 0.69078839' 130928.0042.ec.fits: ap = 1, w1 = 10811.7, w2 = 10583.48, dw = -0.13831, nw = 1651 130928.0042.ec.fits: ap = 2, w1 = 10611.5, w2 = 10387.52, dw = -0.13575, nw = 1651 130928.0042.ec.fits: ap = 3, w1 = 10418.58, w2 = 10198.67, dw = -0.13328, nw = 1651 130928.0042.ec.fits: ap = 4, w1 = 10232.55, w2 = 10016.58, dw = -0.13089, nw = 1651 130928.0042.ec.fits: ap = 5, w1 = 10053.05, w2 = 9840.869, dw = -0.1286, nw = 1651 130928.0042.ec.fits: ap = 6, w1 = 9879.739, w2 = 9671.22, dw = -0.12638, nw = 1651 130928.0042.ec.fits: ap = 7, w1 = 9712.302, w2 = 9507.32, dw = -0.12423, nw = 1651 130928.0042.ec.fits: ap = 8, w1 = 9550.445, w2 = 9348.883, dw = -0.12216, nw = 1651 130928.0042.ec.fits: ap = 9, w1 = 9393.895, w2 = 9195.641, dw = -0.12015, nw = 1651 130928.0042.ec.fits: ap = 10, w1 = 9242.395, w2 = 9047.341, dw = -0.11821, nw = 1651 130928.0042.ec.fits: ap = 11, w1 = 9095.704, w2 = 8903.75, dw = -0.11634, nw = 1651 130928.0042.ec.fits: ap = 12, w1 = 8953.596, w2 = 8764.645, dw = -0.11452, nw = 1651 130928.0042.ec.fits: ap = 13, w1 = 8815.861, w2 = 8629.819, dw = -0.11275, nw = 1651 130928.0042.ec.fits: ap = 14, w1 = 8682.3, w2 = 8499.079, dw = -0.11104, nw = 1651 130928.0042.ec.fits: ap = 15, w1 = 8552.725, w2 = 8372.242, dw = -0.10938, nw = 1651 130928.0042.ec.fits: ap = 16, w1 = 8426.961, w2 = 8249.135, dw = -0.10777, nw = 1651 130928.0042.ec.fits: ap = 17, w1 = 8304.843, w2 = 8129.596, dw = -0.10621, nw = 1651 130928.0042.ec.fits: ap = 18, w1 = 8186.213, w2 = 8013.472, dw = -0.10469, nw = 1651 130928.0042.ec.fits: ap = 19, w1 = 8070.925, w2 = 7900.619, dw = -0.10322, nw = 1651 130928.0042.ec.fits: ap = 20, w1 = 7958.839, w2 = 7790.901, dw = -0.10178, nw = 1651 130928.0042.ec.fits: ap = 21, w1 = 7849.824, w2 = 7684.188, dw = -0.10039, nw = 1651 130928.0042.ec.fits: ap = 22, w1 = 7743.755, w2 = 7580.36, dw = -0.09903, nw = 1651 130928.0042.ec.fits: ap = 23, w1 = 7640.515, w2 = 7479.3, dw = -0.09771, nw = 1651 130928.0042.ec.fits: ap = 24, w1 = 7539.991, w2 = 7380.9, dw = -0.09642, nw = 1651 130928.0042.ec.fits: ap = 25, w1 = 7442.078, w2 = 7285.055, dw = -0.09517, nw = 1651 130928.0042.ec.fits: ap = 26, w1 = 7346.676, w2 = 7191.668, dw = -0.09394, nw = 1651 130928.0042.ec.fits: ap = 27, w1 = 7253.689, w2 = 7100.645, dw = -0.09275, nw = 1651 130928.0042.ec.fits: ap = 28, w1 = 7163.027, w2 = 7011.898, dw = -0.09159, nw = 1651 130928.0042.ec.fits: ap = 29, w1 = 7074.603, w2 = 6925.342, dw = -0.09046, nw = 1651 130928.0042.ec.fits: ap = 30, w1 = 6988.336, w2 = 6840.897, dw = -0.08936, nw = 1651 130928.0042.ec.fits: ap = 31, w1 = 6904.148, w2 = 6758.487, dw = -0.08828, nw = 1651 130928.0042.ec.fits: ap = 32, w1 = 6821.964, w2 = 6678.039, dw = -0.08723, nw = 1651 130928.0042.ec.fits: ap = 33, w1 = 6741.714, w2 = 6599.484, dw = -0.0862, nw = 1651 130928.0042.ec.fits: ap = 34, w1 = 6663.33, w2 = 6522.756, dw = -0.0852, nw = 1651 130928.0042.ec.fits: ap = 35, w1 = 6586.748, w2 = 6447.792, dw = -0.08422, nw = 1651 130928.0042.ec.fits: ap = 36, w1 = 6511.907, w2 = 6374.532, dw = -0.08326, nw = 1651 130928.0042.ec.fits: ap = 37, w1 = 6438.748, w2 = 6302.918, dw = -0.08232, nw = 1651 130928.0042.ec.fits: ap = 38, w1 = 6367.214, w2 = 6232.895, dw = -0.08141, nw = 1651 130928.0042.ec.fits: ap = 39, w1 = 6297.253, w2 = 6164.412, dw = -0.08051, nw = 1651 130928.0042.ec.fits: ap = 40, w1 = 6228.812, w2 = 6097.417, dw = -0.07963, nw = 1651 130928.0042.ec.fits: ap = 41, w1 = 6161.844, w2 = 6031.863, dw = -0.07878, nw = 1651 130928.0042.ec.fits: ap = 42, w1 = 6096.3, w2 = 5967.705, dw = -0.07794, nw = 1651 130928.0042.ec.fits: ap = 43, w1 = 6032.137, w2 = 5904.897, dw = -0.07712, nw = 1651 130928.0042.ec.fits: ap = 44, w1 = 5969.31, w2 = 5843.397, dw = -0.07631, nw = 1651 130928.0042.ec.fits: ap = 45, w1 = 5907.778, w2 = 5783.166, dw = -0.07552, nw = 1651 130928.0042.ec.fits: ap = 46, w1 = 5847.503, w2 = 5724.164, dw = -0.07475, nw = 1651 130928.0042.ec.fits: ap = 47, w1 = 5788.445, w2 = 5666.354, dw = -0.07399, nw = 1651 130928.0042.ec.fits: ap = 48, w1 = 5730.569, w2 = 5609.7, dw = -0.07325, nw = 1651 130928.0042.ec.fits: ap = 49, w1 = 5673.839, w2 = 5554.169, dw = -0.07253, nw = 1651 130928.0042.ec.fits: ap = 50, w1 = 5618.221, w2 = 5499.726, dw = -0.07181, nw = 1651 130928.0042.ec.fits: ap = 51, w1 = 5563.683, w2 = 5446.34, dw = -0.07112, nw = 1651 130928.0042.ec.fits: ap = 52, w1 = 5510.194, w2 = 5393.982, dw = -0.07043, nw = 1651 130928.0042.ec.fits: ap = 53, w1 = 5457.724, w2 = 5342.62, dw = -0.06976, nw = 1651 130928.0042.ec.fits: ap = 54, w1 = 5406.244, w2 = 5292.228, dw = -0.0691, nw = 1651 130928.0042.ec.fits: ap = 55, w1 = 5355.726, w2 = 5242.778, dw = -0.06845, nw = 1651 130928.0042.ec.fits: ap = 56, w1 = 5306.145, w2 = 5194.244, dw = -0.06782, nw = 1651 130928.0042.ec.fits: ap = 57, w1 = 5257.473, w2 = 5146.601, dw = -0.06719, nw = 1651 130928.0042.ec.fits: ap = 58, w1 = 5209.686, w2 = 5099.824, dw = -0.06658, nw = 1651 130928.0042.ec.fits: ap = 59, w1 = 5162.76, w2 = 5053.89, dw = -0.06598, nw = 1651 130928.0042.ec.fits: ap = 60, w1 = 5116.672, w2 = 5008.776, dw = -0.06539, nw = 1651 130928.0042.ec.fits: ap = 61, w1 = 5071.4, w2 = 4964.461, dw = -0.06481, nw = 1651 130928.0042.ec.fits: ap = 62, w1 = 5026.923, w2 = 4920.923, dw = -0.06424, nw = 1651 130928.0042.ec.fits: ap = 63, w1 = 4983.219, w2 = 4878.142, dw = -0.06368, nw = 1651 130928.0042.ec.fits: ap = 64, w1 = 4940.268, w2 = 4836.1, dw = -0.06313, nw = 1651 130928.0042.ec.fits: ap = 65, w1 = 4898.052, w2 = 4794.776, dw = -0.06259, nw = 1651 130928.0042.ec.fits: ap = 66, w1 = 4856.552, w2 = 4754.152, dw = -0.06206, nw = 1651 130928.0042.ec.fits: ap = 67, w1 = 4815.749, w2 = 4714.212, dw = -0.06154, nw = 1651 130928.0042.ec.fits: ap = 68, w1 = 4775.626, w2 = 4674.937, dw = -0.06102, nw = 1651 130928.0042.ec.fits: ap = 69, w1 = 4736.167, w2 = 4636.311, dw = -0.06052, nw = 1651 130928.0042.ec.fits: ap = 70, w1 = 4697.354, w2 = 4598.319, dw = -0.06002, nw = 1651 130928.0042.ec.fits: ap = 71, w1 = 4659.173, w2 = 4560.944, dw = -0.05953, nw = 1651 130928.0042.ec.fits: ap = 72, w1 = 4621.608, w2 = 4524.173, dw = -0.05905, nw = 1651 130928.0042.ec.fits: ap = 73, w1 = 4584.644, w2 = 4487.989, dw = -0.05858, nw = 1651 130928.0042.ec.fits: ap = 74, w1 = 4548.266, w2 = 4452.381, dw = -0.05811, nw = 1651 130928.0042.ec.fits: ap = 75, w1 = 4512.462, w2 = 4417.333, dw = -0.05765, nw = 1651 130928.0042.ec.fits: ap = 76, w1 = 4477.217, w2 = 4382.832, dw = -0.0572, nw = 1651 130928.0042.ec.fits: ap = 77, w1 = 4442.519, w2 = 4348.867, dw = -0.05676, nw = 1651 130928.0042.ec.fits: ap = 78, w1 = 4408.354, w2 = 4315.424, dw = -0.05632, nw = 1651 130928.0042.ec.fits: ap = 79, w1 = 4374.711, w2 = 4282.492, dw = -0.05589, nw = 1651 130928.0042.ec.fits: ap = 80, w1 = 4341.578, w2 = 4250.058, dw = -0.05547, nw = 1651 130928.0042.ec.fits: ap = 81, w1 = 4308.944, w2 = 4218.113, dw = -0.05505, nw = 1651 130928.0042.ec.fits: ap = 82, w1 = 4276.796, w2 = 4186.644, dw = -0.05464, nw = 1651 130928.0042.ec.fits: ap = 83, w1 = 4245.125, w2 = 4155.641, dw = -0.05423, nw = 1651 130928.0042.ec.fits: ap = 84, w1 = 4213.92, w2 = 4125.094, dw = -0.05383, nw = 1651 130928.0042.ec.fits: ap = 85, w1 = 4183.17, w2 = 4094.994, dw = -0.05344, nw = 1651 130928.0042.ec.fits: ap = 86, w1 = 4152.865, w2 = 4065.329, dw = -0.05305, nw = 1651 130928.0042.ec.fits: ap = 87, w1 = 4122.997, w2 = 4036.091, dw = -0.05267, nw = 1651 130928.0042.ec.fits: ap = 88, w1 = 4093.556, w2 = 4007.271, dw = -0.05229, nw = 1651 130928.0042.ec.fits: ap = 89, w1 = 4064.532, w2 = 3978.859, dw = -0.05192, nw = 1651 130928.0042.ec.fits: ap = 90, w1 = 4035.918, w2 = 3950.848, dw = -0.05156, nw = 1651 130928.0042.ec.fits: ap = 91, w1 = 4007.703, w2 = 3923.228, dw = -0.0512, nw = 1651 130928.0042.ec.fits: ap = 92, w1 = 3979.88, w2 = 3895.992, dw = -0.05084, nw = 1651 130928.0042.ec.fits: ap = 93, w1 = 3952.441, w2 = 3869.131, dw = -0.05049, nw = 1651 130928.0042.ec.fits: ap = 94, w1 = 3925.378, w2 = 3842.638, dw = -0.05015, nw = 1651 130928.0042.ec.fits: ap = 95, w1 = 3898.684, w2 = 3816.506, dw = -0.0498, nw = 1651 130928.0042.ec.fits: ap = 96, w1 = 3872.35, w2 = 3790.727, dw = -0.04947, nw = 1651 130928.0042.ec.fits: ap = 97, w1 = 3846.369, w2 = 3765.293, dw = -0.04914, nw = 1651 130928.0042.ec.fits: ap = 98, w1 = 3820.735, w2 = 3740.198, dw = -0.04881, nw = 1651 130928.0042.ec.fits: ap = 99, w1 = 3795.44, w2 = 3715.436, dw = -0.04849, nw = 1651 130928.0042.ec.fits: ap = 100, w1 = 3770.478, w2 = 3690.999, dw = -0.04817, nw = 1651 130928.0042.ec.fits: ap = 101, w1 = 3745.843, w2 = 3666.882, dw = -0.04786, nw = 1651 130928.0042.ec.fits: ap = 102, w1 = 3721.527, w2 = 3643.078, dw = -0.04755, nw = 1651 130928.0042.ec.fits: ap = 103, w1 = 3697.525, w2 = 3619.58, dw = -0.04724, nw = 1651 130928.0042.ec.fits: ap = 104, w1 = 3673.831, w2 = 3596.384, dw = -0.04694, nw = 1651 130928.0042.ec.fits: ap = 105, w1 = 3650.439, w2 = 3573.483, dw = -0.04664, nw = 1651 130928.0042.ec.fits: ap = 106, w1 = 3627.343, w2 = 3550.871, dw = -0.04635, nw = 1651 130928.0042.ec.fits: ap = 107, w1 = 3604.537, w2 = 3528.544, dw = -0.04606, nw = 1651 130928.0042.ec.fits: ap = 108, w1 = 3582.016, w2 = 3506.496, dw = -0.04577, nw = 1651 130928.0042.ec.fits: ap = 109, w1 = 3559.775, w2 = 3484.721, dw = -0.04549, nw = 1651 130928.0042.ec.fits: ap = 110, w1 = 3537.808, w2 = 3463.214, dw = -0.04521, nw = 1651 130928.0042.ec.fits: ap = 111, w1 = 3516.111, w2 = 3441.972, dw = -0.04493, nw = 1651 130928.0042.ec.fits: ap = 112, w1 = 3494.678, w2 = 3420.988, dw = -0.04466, nw = 1651 130928.0042.ec.fits: ap = 113, w1 = 3473.506, w2 = 3400.258, dw = -0.04439, nw = 1651 130928.0042.ec.fits: ap = 114, w1 = 3452.588, w2 = 3379.778, dw = -0.04413, nw = 1651 130928.0042.ec.fits: ap = 115, w1 = 3431.92, w2 = 3359.542, dw = -0.04387, nw = 1651 130928.0043.ec.fits: REFSPEC1 = 'ThAr.0038.ec 0.11825407' 130928.0043.ec.fits: REFSPEC2 = 'ThAr.0044.ec 0.88174593' 130928.0043.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.46, dw = -0.13832, nw = 1651 130928.0043.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.5, dw = -0.13575, nw = 1651 130928.0043.ec.fits: ap = 3, w1 = 10418.58, w2 = 10198.66, dw = -0.13328, nw = 1651 130928.0043.ec.fits: ap = 4, w1 = 10232.55, w2 = 10016.56, dw = -0.1309, nw = 1651 130928.0043.ec.fits: ap = 5, w1 = 10053.05, w2 = 9840.856, dw = -0.1286, nw = 1651 130928.0043.ec.fits: ap = 6, w1 = 9879.734, w2 = 9671.208, dw = -0.12638, nw = 1651 130928.0043.ec.fits: ap = 7, w1 = 9712.296, w2 = 9507.309, dw = -0.12423, nw = 1651 130928.0043.ec.fits: ap = 8, w1 = 9550.44, w2 = 9348.874, dw = -0.12216, nw = 1651 130928.0043.ec.fits: ap = 9, w1 = 9393.89, w2 = 9195.632, dw = -0.12016, nw = 1651 130928.0043.ec.fits: ap = 10, w1 = 9242.39, w2 = 9047.333, dw = -0.11822, nw = 1651 130928.0043.ec.fits: ap = 11, w1 = 9095.699, w2 = 8903.742, dw = -0.11634, nw = 1651 130928.0043.ec.fits: ap = 12, w1 = 8953.592, w2 = 8764.637, dw = -0.11452, nw = 1651 130928.0043.ec.fits: ap = 13, w1 = 8815.857, w2 = 8629.813, dw = -0.11275, nw = 1651 130928.0043.ec.fits: ap = 14, w1 = 8682.295, w2 = 8499.073, dw = -0.11104, nw = 1651 130928.0043.ec.fits: ap = 15, w1 = 8552.721, w2 = 8372.236, dw = -0.10938, nw = 1651 130928.0043.ec.fits: ap = 16, w1 = 8426.957, w2 = 8249.129, dw = -0.10777, nw = 1651 130928.0043.ec.fits: ap = 17, w1 = 8304.838, w2 = 8129.59, dw = -0.10621, nw = 1651 130928.0043.ec.fits: ap = 18, w1 = 8186.209, w2 = 8013.467, dw = -0.10469, nw = 1651 130928.0043.ec.fits: ap = 19, w1 = 8070.921, w2 = 7900.614, dw = -0.10322, nw = 1651 130928.0043.ec.fits: ap = 20, w1 = 7958.835, w2 = 7790.896, dw = -0.10178, nw = 1651 130928.0043.ec.fits: ap = 21, w1 = 7849.82, w2 = 7684.183, dw = -0.10039, nw = 1651 130928.0043.ec.fits: ap = 22, w1 = 7743.751, w2 = 7580.355, dw = -0.09903, nw = 1651 130928.0043.ec.fits: ap = 23, w1 = 7640.511, w2 = 7479.295, dw = -0.09771, nw = 1651 130928.0043.ec.fits: ap = 24, w1 = 7539.987, w2 = 7380.895, dw = -0.09642, nw = 1651 130928.0043.ec.fits: ap = 25, w1 = 7442.075, w2 = 7285.051, dw = -0.09517, nw = 1651 130928.0043.ec.fits: ap = 26, w1 = 7346.673, w2 = 7191.664, dw = -0.09394, nw = 1651 130928.0043.ec.fits: ap = 27, w1 = 7253.686, w2 = 7100.641, dw = -0.09275, nw = 1651 130928.0043.ec.fits: ap = 28, w1 = 7163.024, w2 = 7011.894, dw = -0.09159, nw = 1651 130928.0043.ec.fits: ap = 29, w1 = 7074.6, w2 = 6925.338, dw = -0.09046, nw = 1651 130928.0043.ec.fits: ap = 30, w1 = 6988.333, w2 = 6840.893, dw = -0.08936, nw = 1651 130928.0043.ec.fits: ap = 31, w1 = 6904.145, w2 = 6758.483, dw = -0.08828, nw = 1651 130928.0043.ec.fits: ap = 32, w1 = 6821.961, w2 = 6678.035, dw = -0.08723, nw = 1651 130928.0043.ec.fits: ap = 33, w1 = 6741.711, w2 = 6599.48, dw = -0.0862, nw = 1651 130928.0043.ec.fits: ap = 34, w1 = 6663.327, w2 = 6522.752, dw = -0.0852, nw = 1651 130928.0043.ec.fits: ap = 35, w1 = 6586.745, w2 = 6447.788, dw = -0.08422, nw = 1651 130928.0043.ec.fits: ap = 36, w1 = 6511.904, w2 = 6374.528, dw = -0.08326, nw = 1651 130928.0043.ec.fits: ap = 37, w1 = 6438.745, w2 = 6302.914, dw = -0.08232, nw = 1651 130928.0043.ec.fits: ap = 38, w1 = 6367.211, w2 = 6232.891, dw = -0.08141, nw = 1651 130928.0043.ec.fits: ap = 39, w1 = 6297.25, w2 = 6164.408, dw = -0.08051, nw = 1651 130928.0043.ec.fits: ap = 40, w1 = 6228.81, w2 = 6097.413, dw = -0.07963, nw = 1651 130928.0043.ec.fits: ap = 41, w1 = 6161.841, w2 = 6031.86, dw = -0.07878, nw = 1651 130928.0043.ec.fits: ap = 42, w1 = 6096.298, w2 = 5967.701, dw = -0.07794, nw = 1651 130928.0043.ec.fits: ap = 43, w1 = 6032.134, w2 = 5904.893, dw = -0.07712, nw = 1651 130928.0043.ec.fits: ap = 44, w1 = 5969.307, w2 = 5843.393, dw = -0.07631, nw = 1651 130928.0043.ec.fits: ap = 45, w1 = 5907.776, w2 = 5783.162, dw = -0.07552, nw = 1651 130928.0043.ec.fits: ap = 46, w1 = 5847.501, w2 = 5724.16, dw = -0.07475, nw = 1651 130928.0043.ec.fits: ap = 47, w1 = 5788.443, w2 = 5666.351, dw = -0.074, nw = 1651 130928.0043.ec.fits: ap = 48, w1 = 5730.567, w2 = 5609.697, dw = -0.07325, nw = 1651 130928.0043.ec.fits: ap = 49, w1 = 5673.836, w2 = 5554.166, dw = -0.07253, nw = 1651 130928.0043.ec.fits: ap = 50, w1 = 5618.219, w2 = 5499.723, dw = -0.07182, nw = 1651 130928.0043.ec.fits: ap = 51, w1 = 5563.681, w2 = 5446.338, dw = -0.07112, nw = 1651 130928.0043.ec.fits: ap = 52, w1 = 5510.192, w2 = 5393.979, dw = -0.07043, nw = 1651 130928.0043.ec.fits: ap = 53, w1 = 5457.722, w2 = 5342.618, dw = -0.06976, nw = 1651 130928.0043.ec.fits: ap = 54, w1 = 5406.242, w2 = 5292.226, dw = -0.0691, nw = 1651 130928.0043.ec.fits: ap = 55, w1 = 5355.725, w2 = 5242.776, dw = -0.06845, nw = 1651 130928.0043.ec.fits: ap = 56, w1 = 5306.143, w2 = 5194.242, dw = -0.06782, nw = 1651 130928.0043.ec.fits: ap = 57, w1 = 5257.471, w2 = 5146.599, dw = -0.0672, nw = 1651 130928.0043.ec.fits: ap = 58, w1 = 5209.684, w2 = 5099.822, dw = -0.06658, nw = 1651 130928.0043.ec.fits: ap = 59, w1 = 5162.758, w2 = 5053.888, dw = -0.06598, nw = 1651 130928.0043.ec.fits: ap = 60, w1 = 5116.671, w2 = 5008.774, dw = -0.06539, nw = 1651 130928.0043.ec.fits: ap = 61, w1 = 5071.399, w2 = 4964.459, dw = -0.06481, nw = 1651 130928.0043.ec.fits: ap = 62, w1 = 5026.921, w2 = 4920.922, dw = -0.06424, nw = 1651 130928.0043.ec.fits: ap = 63, w1 = 4983.217, w2 = 4878.141, dw = -0.06368, nw = 1651 130928.0043.ec.fits: ap = 64, w1 = 4940.267, w2 = 4836.099, dw = -0.06313, nw = 1651 130928.0043.ec.fits: ap = 65, w1 = 4898.051, w2 = 4794.775, dw = -0.06259, nw = 1651 130928.0043.ec.fits: ap = 66, w1 = 4856.551, w2 = 4754.152, dw = -0.06206, nw = 1651 130928.0043.ec.fits: ap = 67, w1 = 4815.748, w2 = 4714.211, dw = -0.06154, nw = 1651 130928.0043.ec.fits: ap = 68, w1 = 4775.625, w2 = 4674.936, dw = -0.06102, nw = 1651 130928.0043.ec.fits: ap = 69, w1 = 4736.166, w2 = 4636.311, dw = -0.06052, nw = 1651 130928.0043.ec.fits: ap = 70, w1 = 4697.354, w2 = 4598.318, dw = -0.06002, nw = 1651 130928.0043.ec.fits: ap = 71, w1 = 4659.173, w2 = 4560.944, dw = -0.05953, nw = 1651 130928.0043.ec.fits: ap = 72, w1 = 4621.608, w2 = 4524.172, dw = -0.05905, nw = 1651 130928.0043.ec.fits: ap = 73, w1 = 4584.644, w2 = 4487.989, dw = -0.05858, nw = 1651 130928.0043.ec.fits: ap = 74, w1 = 4548.267, w2 = 4452.38, dw = -0.05811, nw = 1651 130928.0043.ec.fits: ap = 75, w1 = 4512.462, w2 = 4417.332, dw = -0.05765, nw = 1651 130928.0043.ec.fits: ap = 76, w1 = 4477.218, w2 = 4382.832, dw = -0.0572, nw = 1651 130928.0043.ec.fits: ap = 77, w1 = 4442.52, w2 = 4348.866, dw = -0.05676, nw = 1651 130928.0043.ec.fits: ap = 78, w1 = 4408.355, w2 = 4315.424, dw = -0.05632, nw = 1651 130928.0043.ec.fits: ap = 79, w1 = 4374.713, w2 = 4282.491, dw = -0.05589, nw = 1651 130928.0043.ec.fits: ap = 80, w1 = 4341.58, w2 = 4250.058, dw = -0.05547, nw = 1651 130928.0043.ec.fits: ap = 81, w1 = 4308.946, w2 = 4218.112, dw = -0.05505, nw = 1651 130928.0043.ec.fits: ap = 82, w1 = 4276.799, w2 = 4186.643, dw = -0.05464, nw = 1651 130928.0043.ec.fits: ap = 83, w1 = 4245.128, w2 = 4155.64, dw = -0.05423, nw = 1651 130928.0043.ec.fits: ap = 84, w1 = 4213.923, w2 = 4125.093, dw = -0.05384, nw = 1651 130928.0043.ec.fits: ap = 85, w1 = 4183.173, w2 = 4094.992, dw = -0.05344, nw = 1651 130928.0043.ec.fits: ap = 86, w1 = 4152.87, w2 = 4065.327, dw = -0.05306, nw = 1651 130928.0043.ec.fits: ap = 87, w1 = 4123.002, w2 = 4036.089, dw = -0.05267, nw = 1651 130928.0043.ec.fits: ap = 88, w1 = 4093.561, w2 = 4007.269, dw = -0.0523, nw = 1651 130928.0043.ec.fits: ap = 89, w1 = 4064.538, w2 = 3978.857, dw = -0.05193, nw = 1651 130928.0043.ec.fits: ap = 90, w1 = 4035.924, w2 = 3950.845, dw = -0.05156, nw = 1651 130928.0043.ec.fits: ap = 91, w1 = 4007.71, w2 = 3923.225, dw = -0.0512, nw = 1651 130928.0043.ec.fits: ap = 92, w1 = 3979.887, w2 = 3895.988, dw = -0.05085, nw = 1651 130928.0043.ec.fits: ap = 93, w1 = 3952.449, w2 = 3869.127, dw = -0.0505, nw = 1651 130928.0043.ec.fits: ap = 94, w1 = 3925.387, w2 = 3842.634, dw = -0.05015, nw = 1651 130928.0043.ec.fits: ap = 95, w1 = 3898.693, w2 = 3816.501, dw = -0.04981, nw = 1651 130928.0043.ec.fits: ap = 96, w1 = 3872.359, w2 = 3790.721, dw = -0.04948, nw = 1651 130928.0043.ec.fits: ap = 97, w1 = 3846.379, w2 = 3765.287, dw = -0.04915, nw = 1651 130928.0043.ec.fits: ap = 98, w1 = 3820.746, w2 = 3740.192, dw = -0.04882, nw = 1651 130928.0043.ec.fits: ap = 99, w1 = 3795.452, w2 = 3715.428, dw = -0.0485, nw = 1651 130928.0043.ec.fits: ap = 100, w1 = 3770.491, w2 = 3690.991, dw = -0.04818, nw = 1651 130928.0043.ec.fits: ap = 101, w1 = 3745.856, w2 = 3666.873, dw = -0.04787, nw = 1651 130928.0043.ec.fits: ap = 102, w1 = 3721.542, w2 = 3643.067, dw = -0.04756, nw = 1651 130928.0043.ec.fits: ap = 103, w1 = 3697.541, w2 = 3619.569, dw = -0.04726, nw = 1651 130928.0043.ec.fits: ap = 104, w1 = 3673.847, w2 = 3596.372, dw = -0.04695, nw = 1651 130928.0043.ec.fits: ap = 105, w1 = 3650.456, w2 = 3573.469, dw = -0.04666, nw = 1651 130928.0043.ec.fits: ap = 106, w1 = 3627.36, w2 = 3550.857, dw = -0.04637, nw = 1651 130928.0043.ec.fits: ap = 107, w1 = 3604.556, w2 = 3528.528, dw = -0.04608, nw = 1651 130928.0043.ec.fits: ap = 108, w1 = 3582.036, w2 = 3506.479, dw = -0.04579, nw = 1651 130928.0043.ec.fits: ap = 109, w1 = 3559.796, w2 = 3484.703, dw = -0.04551, nw = 1651 130928.0043.ec.fits: ap = 110, w1 = 3537.83, w2 = 3463.195, dw = -0.04523, nw = 1651 130928.0043.ec.fits: ap = 111, w1 = 3516.134, w2 = 3441.951, dw = -0.04496, nw = 1651 130928.0043.ec.fits: ap = 112, w1 = 3494.703, w2 = 3420.965, dw = -0.04469, nw = 1651 130928.0043.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.234, dw = -0.04442, nw = 1651 130928.0043.ec.fits: ap = 114, w1 = 3452.615, w2 = 3379.752, dw = -0.04416, nw = 1651 130928.0043.ec.fits: ap = 115, w1 = 3431.949, w2 = 3359.515, dw = -0.0439, nw = 1651 130928.0045.ec.fits: REFSPEC1 = 'ThAr.0044.ec 0.84310985' 130928.0045.ec.fits: REFSPEC2 = 'ThAr.0049.ec 0.15689012' 130928.0045.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.45, dw = -0.13832, nw = 1651 130928.0045.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.49, dw = -0.13576, nw = 1651 130928.0045.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.65, dw = -0.13328, nw = 1651 130928.0045.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.56, dw = -0.1309, nw = 1651 130928.0045.ec.fits: ap = 5, w1 = 10053.04, w2 = 9840.85, dw = -0.1286, nw = 1651 130928.0045.ec.fits: ap = 6, w1 = 9879.729, w2 = 9671.201, dw = -0.12638, nw = 1651 130928.0045.ec.fits: ap = 7, w1 = 9712.291, w2 = 9507.303, dw = -0.12424, nw = 1651 130928.0045.ec.fits: ap = 8, w1 = 9550.435, w2 = 9348.867, dw = -0.12216, nw = 1651 130928.0045.ec.fits: ap = 9, w1 = 9393.886, w2 = 9195.627, dw = -0.12016, nw = 1651 130928.0045.ec.fits: ap = 10, w1 = 9242.385, w2 = 9047.328, dw = -0.11822, nw = 1651 130928.0045.ec.fits: ap = 11, w1 = 9095.694, w2 = 8903.736, dw = -0.11634, nw = 1651 130928.0045.ec.fits: ap = 12, w1 = 8953.586, w2 = 8764.632, dw = -0.11452, nw = 1651 130928.0045.ec.fits: ap = 13, w1 = 8815.852, w2 = 8629.807, dw = -0.11275, nw = 1651 130928.0045.ec.fits: ap = 14, w1 = 8682.29, w2 = 8499.068, dw = -0.11104, nw = 1651 130928.0045.ec.fits: ap = 15, w1 = 8552.716, w2 = 8372.231, dw = -0.10938, nw = 1651 130928.0045.ec.fits: ap = 16, w1 = 8426.952, w2 = 8249.124, dw = -0.10777, nw = 1651 130928.0045.ec.fits: ap = 17, w1 = 8304.833, w2 = 8129.585, dw = -0.10621, nw = 1651 130928.0045.ec.fits: ap = 18, w1 = 8186.204, w2 = 8013.462, dw = -0.10469, nw = 1651 130928.0045.ec.fits: ap = 19, w1 = 8070.916, w2 = 7900.609, dw = -0.10322, nw = 1651 130928.0045.ec.fits: ap = 20, w1 = 7958.83, w2 = 7790.891, dw = -0.10178, nw = 1651 130928.0045.ec.fits: ap = 21, w1 = 7849.815, w2 = 7684.179, dw = -0.10039, nw = 1651 130928.0045.ec.fits: ap = 22, w1 = 7743.747, w2 = 7580.35, dw = -0.09903, nw = 1651 130928.0045.ec.fits: ap = 23, w1 = 7640.507, w2 = 7479.291, dw = -0.09771, nw = 1651 130928.0045.ec.fits: ap = 24, w1 = 7539.983, w2 = 7380.891, dw = -0.09642, nw = 1651 130928.0045.ec.fits: ap = 25, w1 = 7442.071, w2 = 7285.046, dw = -0.09517, nw = 1651 130928.0045.ec.fits: ap = 26, w1 = 7346.669, w2 = 7191.659, dw = -0.09395, nw = 1651 130928.0045.ec.fits: ap = 27, w1 = 7253.682, w2 = 7100.637, dw = -0.09276, nw = 1651 130928.0045.ec.fits: ap = 28, w1 = 7163.02, w2 = 7011.89, dw = -0.09159, nw = 1651 130928.0045.ec.fits: ap = 29, w1 = 7074.597, w2 = 6925.334, dw = -0.09046, nw = 1651 130928.0045.ec.fits: ap = 30, w1 = 6988.33, w2 = 6840.889, dw = -0.08936, nw = 1651 130928.0045.ec.fits: ap = 31, w1 = 6904.142, w2 = 6758.479, dw = -0.08828, nw = 1651 130928.0045.ec.fits: ap = 32, w1 = 6821.959, w2 = 6678.031, dw = -0.08723, nw = 1651 130928.0045.ec.fits: ap = 33, w1 = 6741.709, w2 = 6599.476, dw = -0.0862, nw = 1651 130928.0045.ec.fits: ap = 34, w1 = 6663.325, w2 = 6522.748, dw = -0.0852, nw = 1651 130928.0045.ec.fits: ap = 35, w1 = 6586.743, w2 = 6447.784, dw = -0.08422, nw = 1651 130928.0045.ec.fits: ap = 36, w1 = 6511.902, w2 = 6374.524, dw = -0.08326, nw = 1651 130928.0045.ec.fits: ap = 37, w1 = 6438.743, w2 = 6302.91, dw = -0.08232, nw = 1651 130928.0045.ec.fits: ap = 38, w1 = 6367.21, w2 = 6232.888, dw = -0.08141, nw = 1651 130928.0045.ec.fits: ap = 39, w1 = 6297.249, w2 = 6164.405, dw = -0.08051, nw = 1651 130928.0045.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.41, dw = -0.07964, nw = 1651 130928.0045.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.857, dw = -0.07878, nw = 1651 130928.0045.ec.fits: ap = 42, w1 = 6096.296, w2 = 5967.698, dw = -0.07794, nw = 1651 130928.0045.ec.fits: ap = 43, w1 = 6032.133, w2 = 5904.89, dw = -0.07712, nw = 1651 130928.0045.ec.fits: ap = 44, w1 = 5969.306, w2 = 5843.39, dw = -0.07631, nw = 1651 130928.0045.ec.fits: ap = 45, w1 = 5907.775, w2 = 5783.159, dw = -0.07552, nw = 1651 130928.0045.ec.fits: ap = 46, w1 = 5847.499, w2 = 5724.157, dw = -0.07475, nw = 1651 130928.0045.ec.fits: ap = 47, w1 = 5788.442, w2 = 5666.347, dw = -0.074, nw = 1651 130928.0045.ec.fits: ap = 48, w1 = 5730.565, w2 = 5609.694, dw = -0.07326, nw = 1651 130928.0045.ec.fits: ap = 49, w1 = 5673.835, w2 = 5554.162, dw = -0.07253, nw = 1651 130928.0045.ec.fits: ap = 50, w1 = 5618.217, w2 = 5499.72, dw = -0.07182, nw = 1651 130928.0045.ec.fits: ap = 51, w1 = 5563.679, w2 = 5446.335, dw = -0.07112, nw = 1651 130928.0045.ec.fits: ap = 52, w1 = 5510.19, w2 = 5393.976, dw = -0.07043, nw = 1651 130928.0045.ec.fits: ap = 53, w1 = 5457.72, w2 = 5342.615, dw = -0.06976, nw = 1651 130928.0045.ec.fits: ap = 54, w1 = 5406.24, w2 = 5292.223, dw = -0.0691, nw = 1651 130928.0045.ec.fits: ap = 55, w1 = 5355.724, w2 = 5242.774, dw = -0.06845, nw = 1651 130928.0045.ec.fits: ap = 56, w1 = 5306.142, w2 = 5194.24, dw = -0.06782, nw = 1651 130928.0045.ec.fits: ap = 57, w1 = 5257.47, w2 = 5146.597, dw = -0.0672, nw = 1651 130928.0045.ec.fits: ap = 58, w1 = 5209.683, w2 = 5099.82, dw = -0.06658, nw = 1651 130928.0045.ec.fits: ap = 59, w1 = 5162.757, w2 = 5053.886, dw = -0.06598, nw = 1651 130928.0045.ec.fits: ap = 60, w1 = 5116.67, w2 = 5008.772, dw = -0.06539, nw = 1651 130928.0045.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.457, dw = -0.06481, nw = 1651 130928.0045.ec.fits: ap = 62, w1 = 5026.92, w2 = 4920.919, dw = -0.06424, nw = 1651 130928.0045.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.139, dw = -0.06368, nw = 1651 130928.0045.ec.fits: ap = 64, w1 = 4940.266, w2 = 4836.096, dw = -0.06313, nw = 1651 130928.0045.ec.fits: ap = 65, w1 = 4898.05, w2 = 4794.773, dw = -0.06259, nw = 1651 130928.0045.ec.fits: ap = 66, w1 = 4856.55, w2 = 4754.149, dw = -0.06206, nw = 1651 130928.0045.ec.fits: ap = 67, w1 = 4815.747, w2 = 4714.209, dw = -0.06154, nw = 1651 130928.0045.ec.fits: ap = 68, w1 = 4775.625, w2 = 4674.934, dw = -0.06102, nw = 1651 130928.0045.ec.fits: ap = 69, w1 = 4736.165, w2 = 4636.308, dw = -0.06052, nw = 1651 130928.0045.ec.fits: ap = 70, w1 = 4697.353, w2 = 4598.316, dw = -0.06002, nw = 1651 130928.0045.ec.fits: ap = 71, w1 = 4659.172, w2 = 4560.942, dw = -0.05953, nw = 1651 130928.0045.ec.fits: ap = 72, w1 = 4621.607, w2 = 4524.17, dw = -0.05905, nw = 1651 130928.0045.ec.fits: ap = 73, w1 = 4584.643, w2 = 4487.987, dw = -0.05858, nw = 1651 130928.0045.ec.fits: ap = 74, w1 = 4548.266, w2 = 4452.378, dw = -0.05811, nw = 1651 130928.0045.ec.fits: ap = 75, w1 = 4512.462, w2 = 4417.33, dw = -0.05766, nw = 1651 130928.0045.ec.fits: ap = 76, w1 = 4477.217, w2 = 4382.83, dw = -0.0572, nw = 1651 130928.0045.ec.fits: ap = 77, w1 = 4442.519, w2 = 4348.864, dw = -0.05676, nw = 1651 130928.0045.ec.fits: ap = 78, w1 = 4408.355, w2 = 4315.421, dw = -0.05632, nw = 1651 130928.0045.ec.fits: ap = 79, w1 = 4374.713, w2 = 4282.489, dw = -0.05589, nw = 1651 130928.0045.ec.fits: ap = 80, w1 = 4341.58, w2 = 4250.055, dw = -0.05547, nw = 1651 130928.0045.ec.fits: ap = 81, w1 = 4308.946, w2 = 4218.109, dw = -0.05505, nw = 1651 130928.0045.ec.fits: ap = 82, w1 = 4276.799, w2 = 4186.64, dw = -0.05464, nw = 1651 130928.0045.ec.fits: ap = 83, w1 = 4245.128, w2 = 4155.638, dw = -0.05424, nw = 1651 130928.0045.ec.fits: ap = 84, w1 = 4213.924, w2 = 4125.091, dw = -0.05384, nw = 1651 130928.0045.ec.fits: ap = 85, w1 = 4183.174, w2 = 4094.989, dw = -0.05345, nw = 1651 130928.0045.ec.fits: ap = 86, w1 = 4152.871, w2 = 4065.325, dw = -0.05306, nw = 1651 130928.0045.ec.fits: ap = 87, w1 = 4123.004, w2 = 4036.086, dw = -0.05268, nw = 1651 130928.0045.ec.fits: ap = 88, w1 = 4093.563, w2 = 4007.266, dw = -0.0523, nw = 1651 130928.0045.ec.fits: ap = 89, w1 = 4064.54, w2 = 3978.854, dw = -0.05193, nw = 1651 130928.0045.ec.fits: ap = 90, w1 = 4035.926, w2 = 3950.842, dw = -0.05157, nw = 1651 130928.0045.ec.fits: ap = 91, w1 = 4007.713, w2 = 3923.222, dw = -0.05121, nw = 1651 130928.0045.ec.fits: ap = 92, w1 = 3979.89, w2 = 3895.984, dw = -0.05085, nw = 1651 130928.0045.ec.fits: ap = 93, w1 = 3952.452, w2 = 3869.123, dw = -0.0505, nw = 1651 130928.0045.ec.fits: ap = 94, w1 = 3925.391, w2 = 3842.63, dw = -0.05016, nw = 1651 130928.0045.ec.fits: ap = 95, w1 = 3898.697, w2 = 3816.498, dw = -0.04982, nw = 1651 130928.0045.ec.fits: ap = 96, w1 = 3872.365, w2 = 3790.718, dw = -0.04948, nw = 1651 130928.0045.ec.fits: ap = 97, w1 = 3846.386, w2 = 3765.284, dw = -0.04915, nw = 1651 130928.0045.ec.fits: ap = 98, w1 = 3820.752, w2 = 3740.188, dw = -0.04883, nw = 1651 130928.0045.ec.fits: ap = 99, w1 = 3795.459, w2 = 3715.424, dw = -0.04851, nw = 1651 130928.0045.ec.fits: ap = 100, w1 = 3770.499, w2 = 3690.987, dw = -0.04819, nw = 1651 130928.0045.ec.fits: ap = 101, w1 = 3745.865, w2 = 3666.868, dw = -0.04788, nw = 1651 130928.0045.ec.fits: ap = 102, w1 = 3721.551, w2 = 3643.063, dw = -0.04757, nw = 1651 130928.0045.ec.fits: ap = 103, w1 = 3697.55, w2 = 3619.565, dw = -0.04726, nw = 1651 130928.0045.ec.fits: ap = 104, w1 = 3673.858, w2 = 3596.367, dw = -0.04696, nw = 1651 130928.0045.ec.fits: ap = 105, w1 = 3650.467, w2 = 3573.465, dw = -0.04667, nw = 1651 130928.0045.ec.fits: ap = 106, w1 = 3627.373, w2 = 3550.852, dw = -0.04638, nw = 1651 130928.0045.ec.fits: ap = 107, w1 = 3604.569, w2 = 3528.523, dw = -0.04609, nw = 1651 130928.0045.ec.fits: ap = 108, w1 = 3582.05, w2 = 3506.473, dw = -0.0458, nw = 1651 130928.0045.ec.fits: ap = 109, w1 = 3559.811, w2 = 3484.697, dw = -0.04552, nw = 1651 130928.0045.ec.fits: ap = 110, w1 = 3537.846, w2 = 3463.189, dw = -0.04525, nw = 1651 130928.0045.ec.fits: ap = 111, w1 = 3516.151, w2 = 3441.945, dw = -0.04497, nw = 1651 130928.0045.ec.fits: ap = 112, w1 = 3494.721, w2 = 3420.96, dw = -0.0447, nw = 1651 130928.0045.ec.fits: ap = 113, w1 = 3473.551, w2 = 3400.228, dw = -0.04444, nw = 1651 130928.0045.ec.fits: ap = 114, w1 = 3452.635, w2 = 3379.746, dw = -0.04418, nw = 1651 130928.0045.ec.fits: ap = 115, w1 = 3431.97, w2 = 3359.508, dw = -0.04392, nw = 1651 130928.0046.ec.fits: REFSPEC1 = 'ThAr.0044.ec 0.5871594' 130928.0046.ec.fits: REFSPEC2 = 'ThAr.0049.ec 0.41284057' 130928.0046.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.46, dw = -0.13832, nw = 1651 130928.0046.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.5, dw = -0.13575, nw = 1651 130928.0046.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.66, dw = -0.13328, nw = 1651 130928.0046.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.56, dw = -0.1309, nw = 1651 130928.0046.ec.fits: ap = 5, w1 = 10053.04, w2 = 9840.852, dw = -0.1286, nw = 1651 130928.0046.ec.fits: ap = 6, w1 = 9879.726, w2 = 9671.203, dw = -0.12638, nw = 1651 130928.0046.ec.fits: ap = 7, w1 = 9712.289, w2 = 9507.304, dw = -0.12423, nw = 1651 130928.0046.ec.fits: ap = 8, w1 = 9550.432, w2 = 9348.867, dw = -0.12216, nw = 1651 130928.0046.ec.fits: ap = 9, w1 = 9393.882, w2 = 9195.626, dw = -0.12016, nw = 1651 130928.0046.ec.fits: ap = 10, w1 = 9242.381, w2 = 9047.327, dw = -0.11821, nw = 1651 130928.0046.ec.fits: ap = 11, w1 = 9095.69, w2 = 8903.735, dw = -0.11634, nw = 1651 130928.0046.ec.fits: ap = 12, w1 = 8953.583, w2 = 8764.63, dw = -0.11452, nw = 1651 130928.0046.ec.fits: ap = 13, w1 = 8815.848, w2 = 8629.805, dw = -0.11275, nw = 1651 130928.0046.ec.fits: ap = 14, w1 = 8682.286, w2 = 8499.065, dw = -0.11104, nw = 1651 130928.0046.ec.fits: ap = 15, w1 = 8552.712, w2 = 8372.228, dw = -0.10938, nw = 1651 130928.0046.ec.fits: ap = 16, w1 = 8426.948, w2 = 8249.121, dw = -0.10777, nw = 1651 130928.0046.ec.fits: ap = 17, w1 = 8304.83, w2 = 8129.582, dw = -0.10621, nw = 1651 130928.0046.ec.fits: ap = 18, w1 = 8186.2, w2 = 8013.459, dw = -0.10469, nw = 1651 130928.0046.ec.fits: ap = 19, w1 = 8070.913, w2 = 7900.606, dw = -0.10322, nw = 1651 130928.0046.ec.fits: ap = 20, w1 = 7958.827, w2 = 7790.888, dw = -0.10178, nw = 1651 130928.0046.ec.fits: ap = 21, w1 = 7849.812, w2 = 7684.176, dw = -0.10039, nw = 1651 130928.0046.ec.fits: ap = 22, w1 = 7743.744, w2 = 7580.348, dw = -0.09903, nw = 1651 130928.0046.ec.fits: ap = 23, w1 = 7640.504, w2 = 7479.288, dw = -0.09771, nw = 1651 130928.0046.ec.fits: ap = 24, w1 = 7539.981, w2 = 7380.888, dw = -0.09642, nw = 1651 130928.0046.ec.fits: ap = 25, w1 = 7442.069, w2 = 7285.044, dw = -0.09517, nw = 1651 130928.0046.ec.fits: ap = 26, w1 = 7346.667, w2 = 7191.657, dw = -0.09395, nw = 1651 130928.0046.ec.fits: ap = 27, w1 = 7253.68, w2 = 7100.634, dw = -0.09276, nw = 1651 130928.0046.ec.fits: ap = 28, w1 = 7163.019, w2 = 7011.887, dw = -0.09159, nw = 1651 130928.0046.ec.fits: ap = 29, w1 = 7074.595, w2 = 6925.331, dw = -0.09046, nw = 1651 130928.0046.ec.fits: ap = 30, w1 = 6988.329, w2 = 6840.887, dw = -0.08936, nw = 1651 130928.0046.ec.fits: ap = 31, w1 = 6904.141, w2 = 6758.477, dw = -0.08828, nw = 1651 130928.0046.ec.fits: ap = 32, w1 = 6821.957, w2 = 6678.029, dw = -0.08723, nw = 1651 130928.0046.ec.fits: ap = 33, w1 = 6741.708, w2 = 6599.474, dw = -0.0862, nw = 1651 130928.0046.ec.fits: ap = 34, w1 = 6663.324, w2 = 6522.747, dw = -0.0852, nw = 1651 130928.0046.ec.fits: ap = 35, w1 = 6586.743, w2 = 6447.783, dw = -0.08422, nw = 1651 130928.0046.ec.fits: ap = 36, w1 = 6511.902, w2 = 6374.522, dw = -0.08326, nw = 1651 130928.0046.ec.fits: ap = 37, w1 = 6438.743, w2 = 6302.909, dw = -0.08232, nw = 1651 130928.0046.ec.fits: ap = 38, w1 = 6367.209, w2 = 6232.886, dw = -0.08141, nw = 1651 130928.0046.ec.fits: ap = 39, w1 = 6297.248, w2 = 6164.403, dw = -0.08051, nw = 1651 130928.0046.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.409, dw = -0.07964, nw = 1651 130928.0046.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.855, dw = -0.07878, nw = 1651 130928.0046.ec.fits: ap = 42, w1 = 6096.296, w2 = 5967.696, dw = -0.07794, nw = 1651 130928.0046.ec.fits: ap = 43, w1 = 6032.133, w2 = 5904.888, dw = -0.07712, nw = 1651 130928.0046.ec.fits: ap = 44, w1 = 5969.306, w2 = 5843.389, dw = -0.07631, nw = 1651 130928.0046.ec.fits: ap = 45, w1 = 5907.775, w2 = 5783.158, dw = -0.07553, nw = 1651 130928.0046.ec.fits: ap = 46, w1 = 5847.5, w2 = 5724.156, dw = -0.07475, nw = 1651 130928.0046.ec.fits: ap = 47, w1 = 5788.442, w2 = 5666.346, dw = -0.074, nw = 1651 130928.0046.ec.fits: ap = 48, w1 = 5730.566, w2 = 5609.693, dw = -0.07326, nw = 1651 130928.0046.ec.fits: ap = 49, w1 = 5673.835, w2 = 5554.161, dw = -0.07253, nw = 1651 130928.0046.ec.fits: ap = 50, w1 = 5618.218, w2 = 5499.719, dw = -0.07182, nw = 1651 130928.0046.ec.fits: ap = 51, w1 = 5563.68, w2 = 5446.333, dw = -0.07112, nw = 1651 130928.0046.ec.fits: ap = 52, w1 = 5510.191, w2 = 5393.975, dw = -0.07043, nw = 1651 130928.0046.ec.fits: ap = 53, w1 = 5457.721, w2 = 5342.613, dw = -0.06976, nw = 1651 130928.0046.ec.fits: ap = 54, w1 = 5406.241, w2 = 5292.221, dw = -0.0691, nw = 1651 130928.0046.ec.fits: ap = 55, w1 = 5355.724, w2 = 5242.772, dw = -0.06846, nw = 1651 130928.0046.ec.fits: ap = 56, w1 = 5306.142, w2 = 5194.238, dw = -0.06782, nw = 1651 130928.0046.ec.fits: ap = 57, w1 = 5257.47, w2 = 5146.595, dw = -0.0672, nw = 1651 130928.0046.ec.fits: ap = 58, w1 = 5209.683, w2 = 5099.818, dw = -0.06659, nw = 1651 130928.0046.ec.fits: ap = 59, w1 = 5162.758, w2 = 5053.883, dw = -0.06598, nw = 1651 130928.0046.ec.fits: ap = 60, w1 = 5116.67, w2 = 5008.77, dw = -0.06539, nw = 1651 130928.0046.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.454, dw = -0.06481, nw = 1651 130928.0046.ec.fits: ap = 62, w1 = 5026.92, w2 = 4920.917, dw = -0.06424, nw = 1651 130928.0046.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.136, dw = -0.06368, nw = 1651 130928.0046.ec.fits: ap = 64, w1 = 4940.266, w2 = 4836.094, dw = -0.06313, nw = 1651 130928.0046.ec.fits: ap = 65, w1 = 4898.05, w2 = 4794.77, dw = -0.06259, nw = 1651 130928.0046.ec.fits: ap = 66, w1 = 4856.549, w2 = 4754.146, dw = -0.06206, nw = 1651 130928.0046.ec.fits: ap = 67, w1 = 4815.747, w2 = 4714.206, dw = -0.06154, nw = 1651 130928.0046.ec.fits: ap = 68, w1 = 4775.624, w2 = 4674.931, dw = -0.06103, nw = 1651 130928.0046.ec.fits: ap = 69, w1 = 4736.165, w2 = 4636.305, dw = -0.06052, nw = 1651 130928.0046.ec.fits: ap = 70, w1 = 4697.352, w2 = 4598.313, dw = -0.06002, nw = 1651 130928.0046.ec.fits: ap = 71, w1 = 4659.171, w2 = 4560.938, dw = -0.05954, nw = 1651 130928.0046.ec.fits: ap = 72, w1 = 4621.606, w2 = 4524.167, dw = -0.05905, nw = 1651 130928.0046.ec.fits: ap = 73, w1 = 4584.642, w2 = 4487.983, dw = -0.05858, nw = 1651 130928.0046.ec.fits: ap = 74, w1 = 4548.265, w2 = 4452.374, dw = -0.05812, nw = 1651 130928.0046.ec.fits: ap = 75, w1 = 4512.461, w2 = 4417.326, dw = -0.05766, nw = 1651 130928.0046.ec.fits: ap = 76, w1 = 4477.216, w2 = 4382.826, dw = -0.05721, nw = 1651 130928.0046.ec.fits: ap = 77, w1 = 4442.518, w2 = 4348.86, dw = -0.05676, nw = 1651 130928.0046.ec.fits: ap = 78, w1 = 4408.354, w2 = 4315.417, dw = -0.05633, nw = 1651 130928.0046.ec.fits: ap = 79, w1 = 4374.711, w2 = 4282.485, dw = -0.05589, nw = 1651 130928.0046.ec.fits: ap = 80, w1 = 4341.579, w2 = 4250.051, dw = -0.05547, nw = 1651 130928.0046.ec.fits: ap = 81, w1 = 4308.944, w2 = 4218.106, dw = -0.05505, nw = 1651 130928.0046.ec.fits: ap = 82, w1 = 4276.797, w2 = 4186.637, dw = -0.05464, nw = 1651 130928.0046.ec.fits: ap = 83, w1 = 4245.127, w2 = 4155.634, dw = -0.05424, nw = 1651 130928.0046.ec.fits: ap = 84, w1 = 4213.922, w2 = 4125.087, dw = -0.05384, nw = 1651 130928.0046.ec.fits: ap = 85, w1 = 4183.172, w2 = 4094.986, dw = -0.05345, nw = 1651 130928.0046.ec.fits: ap = 86, w1 = 4152.869, w2 = 4065.321, dw = -0.05306, nw = 1651 130928.0046.ec.fits: ap = 87, w1 = 4123.002, w2 = 4036.083, dw = -0.05268, nw = 1651 130928.0046.ec.fits: ap = 88, w1 = 4093.561, w2 = 4007.263, dw = -0.0523, nw = 1651 130928.0046.ec.fits: ap = 89, w1 = 4064.538, w2 = 3978.851, dw = -0.05193, nw = 1651 130928.0046.ec.fits: ap = 90, w1 = 4035.924, w2 = 3950.84, dw = -0.05157, nw = 1651 130928.0046.ec.fits: ap = 91, w1 = 4007.711, w2 = 3923.22, dw = -0.05121, nw = 1651 130928.0046.ec.fits: ap = 92, w1 = 3979.889, w2 = 3895.983, dw = -0.05085, nw = 1651 130928.0046.ec.fits: ap = 93, w1 = 3952.451, w2 = 3869.122, dw = -0.0505, nw = 1651 130928.0046.ec.fits: ap = 94, w1 = 3925.389, w2 = 3842.629, dw = -0.05016, nw = 1651 130928.0046.ec.fits: ap = 95, w1 = 3898.696, w2 = 3816.497, dw = -0.04982, nw = 1651 130928.0046.ec.fits: ap = 96, w1 = 3872.364, w2 = 3790.717, dw = -0.04948, nw = 1651 130928.0046.ec.fits: ap = 97, w1 = 3846.385, w2 = 3765.284, dw = -0.04915, nw = 1651 130928.0046.ec.fits: ap = 98, w1 = 3820.752, w2 = 3740.189, dw = -0.04883, nw = 1651 130928.0046.ec.fits: ap = 99, w1 = 3795.458, w2 = 3715.426, dw = -0.0485, nw = 1651 130928.0046.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.989, dw = -0.04819, nw = 1651 130928.0046.ec.fits: ap = 101, w1 = 3745.865, w2 = 3666.871, dw = -0.04787, nw = 1651 130928.0046.ec.fits: ap = 102, w1 = 3721.551, w2 = 3643.066, dw = -0.04757, nw = 1651 130928.0046.ec.fits: ap = 103, w1 = 3697.551, w2 = 3619.569, dw = -0.04726, nw = 1651 130928.0046.ec.fits: ap = 104, w1 = 3673.859, w2 = 3596.372, dw = -0.04696, nw = 1651 130928.0046.ec.fits: ap = 105, w1 = 3650.468, w2 = 3573.47, dw = -0.04667, nw = 1651 130928.0046.ec.fits: ap = 106, w1 = 3627.374, w2 = 3550.859, dw = -0.04637, nw = 1651 130928.0046.ec.fits: ap = 107, w1 = 3604.571, w2 = 3528.531, dw = -0.04608, nw = 1651 130928.0046.ec.fits: ap = 108, w1 = 3582.053, w2 = 3506.482, dw = -0.0458, nw = 1651 130928.0046.ec.fits: ap = 109, w1 = 3559.814, w2 = 3484.707, dw = -0.04552, nw = 1651 130928.0046.ec.fits: ap = 110, w1 = 3537.85, w2 = 3463.2, dw = -0.04524, nw = 1651 130928.0046.ec.fits: ap = 111, w1 = 3516.156, w2 = 3441.957, dw = -0.04497, nw = 1651 130928.0046.ec.fits: ap = 112, w1 = 3494.726, w2 = 3420.973, dw = -0.0447, nw = 1651 130928.0046.ec.fits: ap = 113, w1 = 3473.556, w2 = 3400.242, dw = -0.04443, nw = 1651 130928.0046.ec.fits: ap = 114, w1 = 3452.641, w2 = 3379.761, dw = -0.04417, nw = 1651 130928.0046.ec.fits: ap = 115, w1 = 3431.977, w2 = 3359.525, dw = -0.04391, nw = 1651 130928.0047.ec.fits: REFSPEC1 = 'ThAr.0044.ec 0.33143687' 130928.0047.ec.fits: REFSPEC2 = 'ThAr.0049.ec 0.66856313' 130928.0047.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.47, dw = -0.13831, nw = 1651 130928.0047.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.5, dw = -0.13575, nw = 1651 130928.0047.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.66, dw = -0.13328, nw = 1651 130928.0047.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.56, dw = -0.1309, nw = 1651 130928.0047.ec.fits: ap = 5, w1 = 10053.04, w2 = 9840.854, dw = -0.1286, nw = 1651 130928.0047.ec.fits: ap = 6, w1 = 9879.724, w2 = 9671.204, dw = -0.12638, nw = 1651 130928.0047.ec.fits: ap = 7, w1 = 9712.286, w2 = 9507.304, dw = -0.12423, nw = 1651 130928.0047.ec.fits: ap = 8, w1 = 9550.429, w2 = 9348.867, dw = -0.12216, nw = 1651 130928.0047.ec.fits: ap = 9, w1 = 9393.878, w2 = 9195.625, dw = -0.12015, nw = 1651 130928.0047.ec.fits: ap = 10, w1 = 9242.378, w2 = 9047.325, dw = -0.11821, nw = 1651 130928.0047.ec.fits: ap = 11, w1 = 9095.686, w2 = 8903.733, dw = -0.11634, nw = 1651 130928.0047.ec.fits: ap = 12, w1 = 8953.579, w2 = 8764.628, dw = -0.11452, nw = 1651 130928.0047.ec.fits: ap = 13, w1 = 8815.844, w2 = 8629.803, dw = -0.11275, nw = 1651 130928.0047.ec.fits: ap = 14, w1 = 8682.283, w2 = 8499.063, dw = -0.11104, nw = 1651 130928.0047.ec.fits: ap = 15, w1 = 8552.708, w2 = 8372.225, dw = -0.10938, nw = 1651 130928.0047.ec.fits: ap = 16, w1 = 8426.944, w2 = 8249.118, dw = -0.10777, nw = 1651 130928.0047.ec.fits: ap = 17, w1 = 8304.826, w2 = 8129.579, dw = -0.10621, nw = 1651 130928.0047.ec.fits: ap = 18, w1 = 8186.197, w2 = 8013.456, dw = -0.10469, nw = 1651 130928.0047.ec.fits: ap = 19, w1 = 8070.909, w2 = 7900.603, dw = -0.10322, nw = 1651 130928.0047.ec.fits: ap = 20, w1 = 7958.824, w2 = 7790.885, dw = -0.10178, nw = 1651 130928.0047.ec.fits: ap = 21, w1 = 7849.809, w2 = 7684.173, dw = -0.10039, nw = 1651 130928.0047.ec.fits: ap = 22, w1 = 7743.741, w2 = 7580.345, dw = -0.09903, nw = 1651 130928.0047.ec.fits: ap = 23, w1 = 7640.501, w2 = 7479.285, dw = -0.09771, nw = 1651 130928.0047.ec.fits: ap = 24, w1 = 7539.978, w2 = 7380.885, dw = -0.09642, nw = 1651 130928.0047.ec.fits: ap = 25, w1 = 7442.066, w2 = 7285.041, dw = -0.09517, nw = 1651 130928.0047.ec.fits: ap = 26, w1 = 7346.665, w2 = 7191.654, dw = -0.09395, nw = 1651 130928.0047.ec.fits: ap = 27, w1 = 7253.678, w2 = 7100.632, dw = -0.09276, nw = 1651 130928.0047.ec.fits: ap = 28, w1 = 7163.017, w2 = 7011.885, dw = -0.0916, nw = 1651 130928.0047.ec.fits: ap = 29, w1 = 7074.593, w2 = 6925.329, dw = -0.09046, nw = 1651 130928.0047.ec.fits: ap = 30, w1 = 6988.327, w2 = 6840.884, dw = -0.08936, nw = 1651 130928.0047.ec.fits: ap = 31, w1 = 6904.139, w2 = 6758.475, dw = -0.08828, nw = 1651 130928.0047.ec.fits: ap = 32, w1 = 6821.956, w2 = 6678.027, dw = -0.08723, nw = 1651 130928.0047.ec.fits: ap = 33, w1 = 6741.706, w2 = 6599.472, dw = -0.0862, nw = 1651 130928.0047.ec.fits: ap = 34, w1 = 6663.323, w2 = 6522.745, dw = -0.0852, nw = 1651 130928.0047.ec.fits: ap = 35, w1 = 6586.742, w2 = 6447.781, dw = -0.08422, nw = 1651 130928.0047.ec.fits: ap = 36, w1 = 6511.901, w2 = 6374.521, dw = -0.08326, nw = 1651 130928.0047.ec.fits: ap = 37, w1 = 6438.742, w2 = 6302.907, dw = -0.08232, nw = 1651 130928.0047.ec.fits: ap = 38, w1 = 6367.209, w2 = 6232.885, dw = -0.08141, nw = 1651 130928.0047.ec.fits: ap = 39, w1 = 6297.248, w2 = 6164.402, dw = -0.08051, nw = 1651 130928.0047.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.407, dw = -0.07964, nw = 1651 130928.0047.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.854, dw = -0.07878, nw = 1651 130928.0047.ec.fits: ap = 42, w1 = 6096.296, w2 = 5967.695, dw = -0.07794, nw = 1651 130928.0047.ec.fits: ap = 43, w1 = 6032.133, w2 = 5904.887, dw = -0.07712, nw = 1651 130928.0047.ec.fits: ap = 44, w1 = 5969.307, w2 = 5843.388, dw = -0.07631, nw = 1651 130928.0047.ec.fits: ap = 45, w1 = 5907.775, w2 = 5783.157, dw = -0.07553, nw = 1651 130928.0047.ec.fits: ap = 46, w1 = 5847.5, w2 = 5724.155, dw = -0.07475, nw = 1651 130928.0047.ec.fits: ap = 47, w1 = 5788.443, w2 = 5666.345, dw = -0.074, nw = 1651 130928.0047.ec.fits: ap = 48, w1 = 5730.566, w2 = 5609.691, dw = -0.07326, nw = 1651 130928.0047.ec.fits: ap = 49, w1 = 5673.836, w2 = 5554.16, dw = -0.07253, nw = 1651 130928.0047.ec.fits: ap = 50, w1 = 5618.218, w2 = 5499.717, dw = -0.07182, nw = 1651 130928.0047.ec.fits: ap = 51, w1 = 5563.68, w2 = 5446.332, dw = -0.07112, nw = 1651 130928.0047.ec.fits: ap = 52, w1 = 5510.192, w2 = 5393.973, dw = -0.07044, nw = 1651 130928.0047.ec.fits: ap = 53, w1 = 5457.722, w2 = 5342.612, dw = -0.06976, nw = 1651 130928.0047.ec.fits: ap = 54, w1 = 5406.242, w2 = 5292.22, dw = -0.0691, nw = 1651 130928.0047.ec.fits: ap = 55, w1 = 5355.725, w2 = 5242.77, dw = -0.06846, nw = 1651 130928.0047.ec.fits: ap = 56, w1 = 5306.143, w2 = 5194.236, dw = -0.06782, nw = 1651 130928.0047.ec.fits: ap = 57, w1 = 5257.471, w2 = 5146.593, dw = -0.0672, nw = 1651 130928.0047.ec.fits: ap = 58, w1 = 5209.684, w2 = 5099.815, dw = -0.06659, nw = 1651 130928.0047.ec.fits: ap = 59, w1 = 5162.758, w2 = 5053.881, dw = -0.06599, nw = 1651 130928.0047.ec.fits: ap = 60, w1 = 5116.67, w2 = 5008.767, dw = -0.0654, nw = 1651 130928.0047.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.452, dw = -0.06482, nw = 1651 130928.0047.ec.fits: ap = 62, w1 = 5026.92, w2 = 4920.914, dw = -0.06425, nw = 1651 130928.0047.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.134, dw = -0.06369, nw = 1651 130928.0047.ec.fits: ap = 64, w1 = 4940.266, w2 = 4836.091, dw = -0.06314, nw = 1651 130928.0047.ec.fits: ap = 65, w1 = 4898.05, w2 = 4794.767, dw = -0.0626, nw = 1651 130928.0047.ec.fits: ap = 66, w1 = 4856.549, w2 = 4754.143, dw = -0.06206, nw = 1651 130928.0047.ec.fits: ap = 67, w1 = 4815.746, w2 = 4714.203, dw = -0.06154, nw = 1651 130928.0047.ec.fits: ap = 68, w1 = 4775.623, w2 = 4674.928, dw = -0.06103, nw = 1651 130928.0047.ec.fits: ap = 69, w1 = 4736.164, w2 = 4636.302, dw = -0.06052, nw = 1651 130928.0047.ec.fits: ap = 70, w1 = 4697.352, w2 = 4598.31, dw = -0.06003, nw = 1651 130928.0047.ec.fits: ap = 71, w1 = 4659.17, w2 = 4560.935, dw = -0.05954, nw = 1651 130928.0047.ec.fits: ap = 72, w1 = 4621.605, w2 = 4524.163, dw = -0.05906, nw = 1651 130928.0047.ec.fits: ap = 73, w1 = 4584.641, w2 = 4487.98, dw = -0.05858, nw = 1651 130928.0047.ec.fits: ap = 74, w1 = 4548.264, w2 = 4452.371, dw = -0.05812, nw = 1651 130928.0047.ec.fits: ap = 75, w1 = 4512.459, w2 = 4417.323, dw = -0.05766, nw = 1651 130928.0047.ec.fits: ap = 76, w1 = 4477.215, w2 = 4382.822, dw = -0.05721, nw = 1651 130928.0047.ec.fits: ap = 77, w1 = 4442.516, w2 = 4348.857, dw = -0.05676, nw = 1651 130928.0047.ec.fits: ap = 78, w1 = 4408.352, w2 = 4315.414, dw = -0.05633, nw = 1651 130928.0047.ec.fits: ap = 79, w1 = 4374.71, w2 = 4282.481, dw = -0.0559, nw = 1651 130928.0047.ec.fits: ap = 80, w1 = 4341.577, w2 = 4250.048, dw = -0.05547, nw = 1651 130928.0047.ec.fits: ap = 81, w1 = 4308.943, w2 = 4218.102, dw = -0.05505, nw = 1651 130928.0047.ec.fits: ap = 82, w1 = 4276.795, w2 = 4186.633, dw = -0.05464, nw = 1651 130928.0047.ec.fits: ap = 83, w1 = 4245.125, w2 = 4155.63, dw = -0.05424, nw = 1651 130928.0047.ec.fits: ap = 84, w1 = 4213.92, w2 = 4125.084, dw = -0.05384, nw = 1651 130928.0047.ec.fits: ap = 85, w1 = 4183.171, w2 = 4094.983, dw = -0.05345, nw = 1651 130928.0047.ec.fits: ap = 86, w1 = 4152.867, w2 = 4065.318, dw = -0.05306, nw = 1651 130928.0047.ec.fits: ap = 87, w1 = 4123., w2 = 4036.08, dw = -0.05268, nw = 1651 130928.0047.ec.fits: ap = 88, w1 = 4093.559, w2 = 4007.26, dw = -0.0523, nw = 1651 130928.0047.ec.fits: ap = 89, w1 = 4064.537, w2 = 3978.849, dw = -0.05193, nw = 1651 130928.0047.ec.fits: ap = 90, w1 = 4035.923, w2 = 3950.837, dw = -0.05157, nw = 1651 130928.0047.ec.fits: ap = 91, w1 = 4007.709, w2 = 3923.218, dw = -0.05121, nw = 1651 130928.0047.ec.fits: ap = 92, w1 = 3979.887, w2 = 3895.981, dw = -0.05085, nw = 1651 130928.0047.ec.fits: ap = 93, w1 = 3952.45, w2 = 3869.121, dw = -0.0505, nw = 1651 130928.0047.ec.fits: ap = 94, w1 = 3925.388, w2 = 3842.628, dw = -0.05016, nw = 1651 130928.0047.ec.fits: ap = 95, w1 = 3898.695, w2 = 3816.496, dw = -0.04982, nw = 1651 130928.0047.ec.fits: ap = 96, w1 = 3872.362, w2 = 3790.717, dw = -0.04948, nw = 1651 130928.0047.ec.fits: ap = 97, w1 = 3846.384, w2 = 3765.284, dw = -0.04915, nw = 1651 130928.0047.ec.fits: ap = 98, w1 = 3820.751, w2 = 3740.189, dw = -0.04883, nw = 1651 130928.0047.ec.fits: ap = 99, w1 = 3795.458, w2 = 3715.427, dw = -0.0485, nw = 1651 130928.0047.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.991, dw = -0.04819, nw = 1651 130928.0047.ec.fits: ap = 101, w1 = 3745.865, w2 = 3666.874, dw = -0.04787, nw = 1651 130928.0047.ec.fits: ap = 102, w1 = 3721.551, w2 = 3643.07, dw = -0.04756, nw = 1651 130928.0047.ec.fits: ap = 103, w1 = 3697.551, w2 = 3619.573, dw = -0.04726, nw = 1651 130928.0047.ec.fits: ap = 104, w1 = 3673.86, w2 = 3596.377, dw = -0.04696, nw = 1651 130928.0047.ec.fits: ap = 105, w1 = 3650.47, w2 = 3573.476, dw = -0.04666, nw = 1651 130928.0047.ec.fits: ap = 106, w1 = 3627.376, w2 = 3550.865, dw = -0.04637, nw = 1651 130928.0047.ec.fits: ap = 107, w1 = 3604.573, w2 = 3528.538, dw = -0.04608, nw = 1651 130928.0047.ec.fits: ap = 108, w1 = 3582.055, w2 = 3506.491, dw = -0.0458, nw = 1651 130928.0047.ec.fits: ap = 109, w1 = 3559.817, w2 = 3484.716, dw = -0.04552, nw = 1651 130928.0047.ec.fits: ap = 110, w1 = 3537.854, w2 = 3463.211, dw = -0.04524, nw = 1651 130928.0047.ec.fits: ap = 111, w1 = 3516.16, w2 = 3441.969, dw = -0.04496, nw = 1651 130928.0047.ec.fits: ap = 112, w1 = 3494.731, w2 = 3420.986, dw = -0.04469, nw = 1651 130928.0047.ec.fits: ap = 113, w1 = 3473.562, w2 = 3400.257, dw = -0.04443, nw = 1651 130928.0047.ec.fits: ap = 114, w1 = 3452.648, w2 = 3379.777, dw = -0.04416, nw = 1651 130928.0047.ec.fits: ap = 115, w1 = 3431.984, w2 = 3359.543, dw = -0.0439, nw = 1651 130928.0048.ec.fits: REFSPEC1 = 'ThAr.0044.ec 0.115726' 130928.0048.ec.fits: REFSPEC2 = 'ThAr.0049.ec 0.88427401' 130928.0048.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.47, dw = -0.13831, nw = 1651 130928.0048.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.51, dw = -0.13575, nw = 1651 130928.0048.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.66, dw = -0.13328, nw = 1651 130928.0048.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.57, dw = -0.13089, nw = 1651 130928.0048.ec.fits: ap = 5, w1 = 10053.04, w2 = 9840.856, dw = -0.12859, nw = 1651 130928.0048.ec.fits: ap = 6, w1 = 9879.722, w2 = 9671.205, dw = -0.12637, nw = 1651 130928.0048.ec.fits: ap = 7, w1 = 9712.283, w2 = 9507.305, dw = -0.12423, nw = 1651 130928.0048.ec.fits: ap = 8, w1 = 9550.426, w2 = 9348.867, dw = -0.12216, nw = 1651 130928.0048.ec.fits: ap = 9, w1 = 9393.875, w2 = 9195.624, dw = -0.12015, nw = 1651 130928.0048.ec.fits: ap = 10, w1 = 9242.374, w2 = 9047.324, dw = -0.11821, nw = 1651 130928.0048.ec.fits: ap = 11, w1 = 9095.683, w2 = 8903.732, dw = -0.11633, nw = 1651 130928.0048.ec.fits: ap = 12, w1 = 8953.576, w2 = 8764.626, dw = -0.11451, nw = 1651 130928.0048.ec.fits: ap = 13, w1 = 8815.841, w2 = 8629.801, dw = -0.11275, nw = 1651 130928.0048.ec.fits: ap = 14, w1 = 8682.279, w2 = 8499.061, dw = -0.11104, nw = 1651 130928.0048.ec.fits: ap = 15, w1 = 8552.705, w2 = 8372.223, dw = -0.10938, nw = 1651 130928.0048.ec.fits: ap = 16, w1 = 8426.941, w2 = 8249.116, dw = -0.10777, nw = 1651 130928.0048.ec.fits: ap = 17, w1 = 8304.823, w2 = 8129.577, dw = -0.10621, nw = 1651 130928.0048.ec.fits: ap = 18, w1 = 8186.194, w2 = 8013.453, dw = -0.10469, nw = 1651 130928.0048.ec.fits: ap = 19, w1 = 8070.906, w2 = 7900.601, dw = -0.10322, nw = 1651 130928.0048.ec.fits: ap = 20, w1 = 7958.821, w2 = 7790.883, dw = -0.10178, nw = 1651 130928.0048.ec.fits: ap = 21, w1 = 7849.807, w2 = 7684.17, dw = -0.10039, nw = 1651 130928.0048.ec.fits: ap = 22, w1 = 7743.738, w2 = 7580.342, dw = -0.09903, nw = 1651 130928.0048.ec.fits: ap = 23, w1 = 7640.499, w2 = 7479.283, dw = -0.09771, nw = 1651 130928.0048.ec.fits: ap = 24, w1 = 7539.976, w2 = 7380.883, dw = -0.09642, nw = 1651 130928.0048.ec.fits: ap = 25, w1 = 7442.064, w2 = 7285.039, dw = -0.09517, nw = 1651 130928.0048.ec.fits: ap = 26, w1 = 7346.663, w2 = 7191.652, dw = -0.09395, nw = 1651 130928.0048.ec.fits: ap = 27, w1 = 7253.676, w2 = 7100.63, dw = -0.09276, nw = 1651 130928.0048.ec.fits: ap = 28, w1 = 7163.015, w2 = 7011.883, dw = -0.0916, nw = 1651 130928.0048.ec.fits: ap = 29, w1 = 7074.592, w2 = 6925.327, dw = -0.09046, nw = 1651 130928.0048.ec.fits: ap = 30, w1 = 6988.326, w2 = 6840.883, dw = -0.08936, nw = 1651 130928.0048.ec.fits: ap = 31, w1 = 6904.138, w2 = 6758.473, dw = -0.08828, nw = 1651 130928.0048.ec.fits: ap = 32, w1 = 6821.955, w2 = 6678.025, dw = -0.08723, nw = 1651 130928.0048.ec.fits: ap = 33, w1 = 6741.705, w2 = 6599.471, dw = -0.0862, nw = 1651 130928.0048.ec.fits: ap = 34, w1 = 6663.322, w2 = 6522.743, dw = -0.0852, nw = 1651 130928.0048.ec.fits: ap = 35, w1 = 6586.741, w2 = 6447.779, dw = -0.08422, nw = 1651 130928.0048.ec.fits: ap = 36, w1 = 6511.901, w2 = 6374.519, dw = -0.08326, nw = 1651 130928.0048.ec.fits: ap = 37, w1 = 6438.742, w2 = 6302.906, dw = -0.08232, nw = 1651 130928.0048.ec.fits: ap = 38, w1 = 6367.209, w2 = 6232.884, dw = -0.08141, nw = 1651 130928.0048.ec.fits: ap = 39, w1 = 6297.248, w2 = 6164.4, dw = -0.08051, nw = 1651 130928.0048.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.406, dw = -0.07964, nw = 1651 130928.0048.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.853, dw = -0.07878, nw = 1651 130928.0048.ec.fits: ap = 42, w1 = 6096.297, w2 = 5967.694, dw = -0.07794, nw = 1651 130928.0048.ec.fits: ap = 43, w1 = 6032.133, w2 = 5904.886, dw = -0.07712, nw = 1651 130928.0048.ec.fits: ap = 44, w1 = 5969.307, w2 = 5843.387, dw = -0.07632, nw = 1651 130928.0048.ec.fits: ap = 45, w1 = 5907.776, w2 = 5783.156, dw = -0.07553, nw = 1651 130928.0048.ec.fits: ap = 46, w1 = 5847.5, w2 = 5724.154, dw = -0.07476, nw = 1651 130928.0048.ec.fits: ap = 47, w1 = 5788.443, w2 = 5666.344, dw = -0.074, nw = 1651 130928.0048.ec.fits: ap = 48, w1 = 5730.567, w2 = 5609.69, dw = -0.07326, nw = 1651 130928.0048.ec.fits: ap = 49, w1 = 5673.836, w2 = 5554.159, dw = -0.07253, nw = 1651 130928.0048.ec.fits: ap = 50, w1 = 5618.219, w2 = 5499.716, dw = -0.07182, nw = 1651 130928.0048.ec.fits: ap = 51, w1 = 5563.681, w2 = 5446.331, dw = -0.07112, nw = 1651 130928.0048.ec.fits: ap = 52, w1 = 5510.192, w2 = 5393.972, dw = -0.07044, nw = 1651 130928.0048.ec.fits: ap = 53, w1 = 5457.722, w2 = 5342.611, dw = -0.06976, nw = 1651 130928.0048.ec.fits: ap = 54, w1 = 5406.242, w2 = 5292.219, dw = -0.06911, nw = 1651 130928.0048.ec.fits: ap = 55, w1 = 5355.725, w2 = 5242.769, dw = -0.06846, nw = 1651 130928.0048.ec.fits: ap = 56, w1 = 5306.143, w2 = 5194.235, dw = -0.06782, nw = 1651 130928.0048.ec.fits: ap = 57, w1 = 5257.471, w2 = 5146.591, dw = -0.0672, nw = 1651 130928.0048.ec.fits: ap = 58, w1 = 5209.684, w2 = 5099.814, dw = -0.06659, nw = 1651 130928.0048.ec.fits: ap = 59, w1 = 5162.758, w2 = 5053.879, dw = -0.06599, nw = 1651 130928.0048.ec.fits: ap = 60, w1 = 5116.67, w2 = 5008.765, dw = -0.0654, nw = 1651 130928.0048.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.45, dw = -0.06482, nw = 1651 130928.0048.ec.fits: ap = 62, w1 = 5026.92, w2 = 4920.912, dw = -0.06425, nw = 1651 130928.0048.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.132, dw = -0.06369, nw = 1651 130928.0048.ec.fits: ap = 64, w1 = 4940.266, w2 = 4836.089, dw = -0.06314, nw = 1651 130928.0048.ec.fits: ap = 65, w1 = 4898.049, w2 = 4794.765, dw = -0.0626, nw = 1651 130928.0048.ec.fits: ap = 66, w1 = 4856.549, w2 = 4754.141, dw = -0.06207, nw = 1651 130928.0048.ec.fits: ap = 67, w1 = 4815.746, w2 = 4714.2, dw = -0.06154, nw = 1651 130928.0048.ec.fits: ap = 68, w1 = 4775.623, w2 = 4674.925, dw = -0.06103, nw = 1651 130928.0048.ec.fits: ap = 69, w1 = 4736.163, w2 = 4636.299, dw = -0.06052, nw = 1651 130928.0048.ec.fits: ap = 70, w1 = 4697.351, w2 = 4598.307, dw = -0.06003, nw = 1651 130928.0048.ec.fits: ap = 71, w1 = 4659.17, w2 = 4560.932, dw = -0.05954, nw = 1651 130928.0048.ec.fits: ap = 72, w1 = 4621.604, w2 = 4524.16, dw = -0.05906, nw = 1651 130928.0048.ec.fits: ap = 73, w1 = 4584.64, w2 = 4487.977, dw = -0.05858, nw = 1651 130928.0048.ec.fits: ap = 74, w1 = 4548.263, w2 = 4452.368, dw = -0.05812, nw = 1651 130928.0048.ec.fits: ap = 75, w1 = 4512.458, w2 = 4417.32, dw = -0.05766, nw = 1651 130928.0048.ec.fits: ap = 76, w1 = 4477.213, w2 = 4382.819, dw = -0.05721, nw = 1651 130928.0048.ec.fits: ap = 77, w1 = 4442.515, w2 = 4348.853, dw = -0.05676, nw = 1651 130928.0048.ec.fits: ap = 78, w1 = 4408.351, w2 = 4315.41, dw = -0.05633, nw = 1651 130928.0048.ec.fits: ap = 79, w1 = 4374.708, w2 = 4282.478, dw = -0.0559, nw = 1651 130928.0048.ec.fits: ap = 80, w1 = 4341.575, w2 = 4250.045, dw = -0.05547, nw = 1651 130928.0048.ec.fits: ap = 81, w1 = 4308.941, w2 = 4218.099, dw = -0.05506, nw = 1651 130928.0048.ec.fits: ap = 82, w1 = 4276.794, w2 = 4186.63, dw = -0.05464, nw = 1651 130928.0048.ec.fits: ap = 83, w1 = 4245.123, w2 = 4155.627, dw = -0.05424, nw = 1651 130928.0048.ec.fits: ap = 84, w1 = 4213.918, w2 = 4125.081, dw = -0.05384, nw = 1651 130928.0048.ec.fits: ap = 85, w1 = 4183.169, w2 = 4094.98, dw = -0.05345, nw = 1651 130928.0048.ec.fits: ap = 86, w1 = 4152.866, w2 = 4065.315, dw = -0.05306, nw = 1651 130928.0048.ec.fits: ap = 87, w1 = 4122.998, w2 = 4036.078, dw = -0.05268, nw = 1651 130928.0048.ec.fits: ap = 88, w1 = 4093.558, w2 = 4007.258, dw = -0.0523, nw = 1651 130928.0048.ec.fits: ap = 89, w1 = 4064.535, w2 = 3978.846, dw = -0.05193, nw = 1651 130928.0048.ec.fits: ap = 90, w1 = 4035.921, w2 = 3950.835, dw = -0.05157, nw = 1651 130928.0048.ec.fits: ap = 91, w1 = 4007.708, w2 = 3923.216, dw = -0.05121, nw = 1651 130928.0048.ec.fits: ap = 92, w1 = 3979.886, w2 = 3895.98, dw = -0.05085, nw = 1651 130928.0048.ec.fits: ap = 93, w1 = 3952.448, w2 = 3869.12, dw = -0.0505, nw = 1651 130928.0048.ec.fits: ap = 94, w1 = 3925.387, w2 = 3842.628, dw = -0.05016, nw = 1651 130928.0048.ec.fits: ap = 95, w1 = 3898.694, w2 = 3816.496, dw = -0.04982, nw = 1651 130928.0048.ec.fits: ap = 96, w1 = 3872.361, w2 = 3790.717, dw = -0.04948, nw = 1651 130928.0048.ec.fits: ap = 97, w1 = 3846.382, w2 = 3765.284, dw = -0.04915, nw = 1651 130928.0048.ec.fits: ap = 98, w1 = 3820.75, w2 = 3740.19, dw = -0.04882, nw = 1651 130928.0048.ec.fits: ap = 99, w1 = 3795.457, w2 = 3715.428, dw = -0.0485, nw = 1651 130928.0048.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.993, dw = -0.04818, nw = 1651 130928.0048.ec.fits: ap = 101, w1 = 3745.864, w2 = 3666.876, dw = -0.04787, nw = 1651 130928.0048.ec.fits: ap = 102, w1 = 3721.551, w2 = 3643.073, dw = -0.04756, nw = 1651 130928.0048.ec.fits: ap = 103, w1 = 3697.552, w2 = 3619.576, dw = -0.04726, nw = 1651 130928.0048.ec.fits: ap = 104, w1 = 3673.86, w2 = 3596.381, dw = -0.04696, nw = 1651 130928.0048.ec.fits: ap = 105, w1 = 3650.471, w2 = 3573.481, dw = -0.04666, nw = 1651 130928.0048.ec.fits: ap = 106, w1 = 3627.378, w2 = 3550.871, dw = -0.04637, nw = 1651 130928.0048.ec.fits: ap = 107, w1 = 3604.575, w2 = 3528.545, dw = -0.04608, nw = 1651 130928.0048.ec.fits: ap = 108, w1 = 3582.057, w2 = 3506.498, dw = -0.04579, nw = 1651 130928.0048.ec.fits: ap = 109, w1 = 3559.82, w2 = 3484.724, dw = -0.04551, nw = 1651 130928.0048.ec.fits: ap = 110, w1 = 3537.857, w2 = 3463.22, dw = -0.04523, nw = 1651 130928.0048.ec.fits: ap = 111, w1 = 3516.164, w2 = 3441.979, dw = -0.04496, nw = 1651 130928.0048.ec.fits: ap = 112, w1 = 3494.735, w2 = 3420.997, dw = -0.04469, nw = 1651 130928.0048.ec.fits: ap = 113, w1 = 3473.566, w2 = 3400.269, dw = -0.04442, nw = 1651 130928.0048.ec.fits: ap = 114, w1 = 3452.653, w2 = 3379.79, dw = -0.04416, nw = 1651 130928.0048.ec.fits: ap = 115, w1 = 3431.99, w2 = 3359.557, dw = -0.0439, nw = 1651 ThAr.0022.ec.fits: REFSPEC1 = 'ThAr.0022.ec 1.' zThAr.0022.ec.fits: ap = 1, w1 = 10811.75, w2 = 10583.54, dw = -0.13831, nw = 1651 zThAr.0022.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.58, dw = -0.13574, nw = 1651 zThAr.0022.ec.fits: ap = 3, w1 = 10418.63, w2 = 10198.74, dw = -0.13327, nw = 1651 zThAr.0022.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.64, dw = -0.13088, nw = 1651 zThAr.0022.ec.fits: ap = 5, w1 = 10053.09, w2 = 9840.932, dw = -0.12858, nw = 1651 zThAr.0022.ec.fits: ap = 6, w1 = 9879.777, w2 = 9671.282, dw = -0.12636, nw = 1651 zThAr.0022.ec.fits: ap = 7, w1 = 9712.337, w2 = 9507.383, dw = -0.12421, nw = 1651 zThAr.0022.ec.fits: ap = 8, w1 = 9550.477, w2 = 9348.946, dw = -0.12214, nw = 1651 zThAr.0022.ec.fits: ap = 9, w1 = 9393.925, w2 = 9195.703, dw = -0.12013, nw = 1651 zThAr.0022.ec.fits: ap = 10, w1 = 9242.423, w2 = 9047.404, dw = -0.11819, nw = 1651 zThAr.0022.ec.fits: ap = 11, w1 = 9095.73, w2 = 8903.811, dw = -0.11631, nw = 1651 zThAr.0022.ec.fits: ap = 12, w1 = 8953.621, w2 = 8764.706, dw = -0.11449, nw = 1651 zThAr.0022.ec.fits: ap = 13, w1 = 8815.884, w2 = 8629.88, dw = -0.11273, nw = 1651 zThAr.0022.ec.fits: ap = 14, w1 = 8682.322, w2 = 8499.14, dw = -0.11102, nw = 1651 zThAr.0022.ec.fits: ap = 15, w1 = 8552.746, w2 = 8372.302, dw = -0.10936, nw = 1651 zThAr.0022.ec.fits: ap = 16, w1 = 8426.981, w2 = 8249.194, dw = -0.10775, nw = 1651 zThAr.0022.ec.fits: ap = 17, w1 = 8304.862, w2 = 8129.654, dw = -0.10619, nw = 1651 zThAr.0022.ec.fits: ap = 18, w1 = 8186.231, w2 = 8013.53, dw = -0.10467, nw = 1651 zThAr.0022.ec.fits: ap = 19, w1 = 8070.943, w2 = 7900.676, dw = -0.10319, nw = 1651 zThAr.0022.ec.fits: ap = 20, w1 = 7958.856, w2 = 7790.957, dw = -0.10176, nw = 1651 zThAr.0022.ec.fits: ap = 21, w1 = 7849.841, w2 = 7684.244, dw = -0.10036, nw = 1651 zThAr.0022.ec.fits: ap = 22, w1 = 7743.772, w2 = 7580.415, dw = -0.099, nw = 1651 zThAr.0022.ec.fits: ap = 23, w1 = 7640.531, w2 = 7479.354, dw = -0.09768, nw = 1651 zThAr.0022.ec.fits: ap = 24, w1 = 7540.007, w2 = 7380.953, dw = -0.0964, nw = 1651 zThAr.0022.ec.fits: ap = 25, w1 = 7442.095, w2 = 7285.108, dw = -0.09514, nw = 1651 zThAr.0022.ec.fits: ap = 26, w1 = 7346.692, w2 = 7191.72, dw = -0.09392, nw = 1651 zThAr.0022.ec.fits: ap = 27, w1 = 7253.705, w2 = 7100.697, dw = -0.09273, nw = 1651 zThAr.0022.ec.fits: ap = 28, w1 = 7163.043, w2 = 7011.949, dw = -0.09157, nw = 1651 zThAr.0022.ec.fits: ap = 29, w1 = 7074.62, w2 = 6925.392, dw = -0.09044, nw = 1651 zThAr.0022.ec.fits: ap = 30, w1 = 6988.353, w2 = 6840.946, dw = -0.08934, nw = 1651 zThAr.0022.ec.fits: ap = 31, w1 = 6904.164, w2 = 6758.536, dw = -0.08826, nw = 1651 zThAr.0022.ec.fits: ap = 32, w1 = 6821.981, w2 = 6678.087, dw = -0.08721, nw = 1651 zThAr.0022.ec.fits: ap = 33, w1 = 6741.731, w2 = 6599.531, dw = -0.08618, nw = 1651 zThAr.0022.ec.fits: ap = 34, w1 = 6663.347, w2 = 6522.803, dw = -0.08518, nw = 1651 zThAr.0022.ec.fits: ap = 35, w1 = 6586.765, w2 = 6447.838, dw = -0.0842, nw = 1651 zThAr.0022.ec.fits: ap = 36, w1 = 6511.924, w2 = 6374.577, dw = -0.08324, nw = 1651 zThAr.0022.ec.fits: ap = 37, w1 = 6438.765, w2 = 6302.962, dw = -0.0823, nw = 1651 zThAr.0022.ec.fits: ap = 38, w1 = 6367.232, w2 = 6232.939, dw = -0.08139, nw = 1651 zThAr.0022.ec.fits: ap = 39, w1 = 6297.27, w2 = 6164.455, dw = -0.08049, nw = 1651 zThAr.0022.ec.fits: ap = 40, w1 = 6228.83, w2 = 6097.46, dw = -0.07962, nw = 1651 zThAr.0022.ec.fits: ap = 41, w1 = 6161.862, w2 = 6031.906, dw = -0.07876, nw = 1651 zThAr.0022.ec.fits: ap = 42, w1 = 6096.318, w2 = 5967.747, dw = -0.07792, nw = 1651 zThAr.0022.ec.fits: ap = 43, w1 = 6032.155, w2 = 5904.938, dw = -0.0771, nw = 1651 zThAr.0022.ec.fits: ap = 44, w1 = 5969.328, w2 = 5843.438, dw = -0.0763, nw = 1651 zThAr.0022.ec.fits: ap = 45, w1 = 5907.796, w2 = 5783.206, dw = -0.07551, nw = 1651 zThAr.0022.ec.fits: ap = 46, w1 = 5847.521, w2 = 5724.204, dw = -0.07474, nw = 1651 zThAr.0022.ec.fits: ap = 47, w1 = 5788.463, w2 = 5666.394, dw = -0.07398, nw = 1651 zThAr.0022.ec.fits: ap = 48, w1 = 5730.587, w2 = 5609.74, dw = -0.07324, nw = 1651 zThAr.0022.ec.fits: ap = 49, w1 = 5673.856, w2 = 5554.208, dw = -0.07251, nw = 1651 zThAr.0022.ec.fits: ap = 50, w1 = 5618.238, w2 = 5499.765, dw = -0.0718, nw = 1651 zThAr.0022.ec.fits: ap = 51, w1 = 5563.7, w2 = 5446.379, dw = -0.0711, nw = 1651 zThAr.0022.ec.fits: ap = 52, w1 = 5510.211, w2 = 5394.02, dw = -0.07042, nw = 1651 zThAr.0022.ec.fits: ap = 53, w1 = 5457.741, w2 = 5342.659, dw = -0.06975, nw = 1651 zThAr.0022.ec.fits: ap = 54, w1 = 5406.261, w2 = 5292.266, dw = -0.06909, nw = 1651 zThAr.0022.ec.fits: ap = 55, w1 = 5355.744, w2 = 5242.816, dw = -0.06844, nw = 1651 zThAr.0022.ec.fits: ap = 56, w1 = 5306.161, w2 = 5194.282, dw = -0.06781, nw = 1651 zThAr.0022.ec.fits: ap = 57, w1 = 5257.489, w2 = 5146.638, dw = -0.06718, nw = 1651 zThAr.0022.ec.fits: ap = 58, w1 = 5209.702, w2 = 5099.86, dw = -0.06657, nw = 1651 zThAr.0022.ec.fits: ap = 59, w1 = 5162.776, w2 = 5053.926, dw = -0.06597, nw = 1651 zThAr.0022.ec.fits: ap = 60, w1 = 5116.688, w2 = 5008.812, dw = -0.06538, nw = 1651 zThAr.0022.ec.fits: ap = 61, w1 = 5071.415, w2 = 4964.497, dw = -0.0648, nw = 1651 zThAr.0022.ec.fits: ap = 62, w1 = 5026.937, w2 = 4920.959, dw = -0.06423, nw = 1651 zThAr.0022.ec.fits: ap = 63, w1 = 4983.233, w2 = 4878.178, dw = -0.06367, nw = 1651 zThAr.0022.ec.fits: ap = 64, w1 = 4940.282, w2 = 4836.135, dw = -0.06312, nw = 1651 zThAr.0022.ec.fits: ap = 65, w1 = 4898.066, w2 = 4794.811, dw = -0.06258, nw = 1651 zThAr.0022.ec.fits: ap = 66, w1 = 4856.565, w2 = 4754.187, dw = -0.06205, nw = 1651 zThAr.0022.ec.fits: ap = 67, w1 = 4815.762, w2 = 4714.247, dw = -0.06152, nw = 1651 zThAr.0022.ec.fits: ap = 68, w1 = 4775.638, w2 = 4674.972, dw = -0.06101, nw = 1651 zThAr.0022.ec.fits: ap = 69, w1 = 4736.179, w2 = 4636.346, dw = -0.0605, nw = 1651 zThAr.0022.ec.fits: ap = 70, w1 = 4697.366, w2 = 4598.353, dw = -0.06001, nw = 1651 zThAr.0022.ec.fits: ap = 71, w1 = 4659.184, w2 = 4560.979, dw = -0.05952, nw = 1651 zThAr.0022.ec.fits: ap = 72, w1 = 4621.618, w2 = 4524.207, dw = -0.05904, nw = 1651 zThAr.0022.ec.fits: ap = 73, w1 = 4584.653, w2 = 4488.023, dw = -0.05856, nw = 1651 zThAr.0022.ec.fits: ap = 74, w1 = 4548.276, w2 = 4452.414, dw = -0.0581, nw = 1651 zThAr.0022.ec.fits: ap = 75, w1 = 4512.471, w2 = 4417.366, dw = -0.05764, nw = 1651 zThAr.0022.ec.fits: ap = 76, w1 = 4477.225, w2 = 4382.865, dw = -0.05719, nw = 1651 zThAr.0022.ec.fits: ap = 77, w1 = 4442.527, w2 = 4348.9, dw = -0.05674, nw = 1651 zThAr.0022.ec.fits: ap = 78, w1 = 4408.362, w2 = 4315.457, dw = -0.05631, nw = 1651 zThAr.0022.ec.fits: ap = 79, w1 = 4374.718, w2 = 4282.524, dw = -0.05588, nw = 1651 zThAr.0022.ec.fits: ap = 80, w1 = 4341.585, w2 = 4250.09, dw = -0.05545, nw = 1651 zThAr.0022.ec.fits: ap = 81, w1 = 4308.95, w2 = 4218.145, dw = -0.05503, nw = 1651 zThAr.0022.ec.fits: ap = 82, w1 = 4276.802, w2 = 4186.675, dw = -0.05462, nw = 1651 zThAr.0022.ec.fits: ap = 83, w1 = 4245.13, w2 = 4155.673, dw = -0.05422, nw = 1651 zThAr.0022.ec.fits: ap = 84, w1 = 4213.925, w2 = 4125.125, dw = -0.05382, nw = 1651 zThAr.0022.ec.fits: ap = 85, w1 = 4183.175, w2 = 4095.024, dw = -0.05342, nw = 1651 zThAr.0022.ec.fits: ap = 86, w1 = 4152.87, w2 = 4065.359, dw = -0.05304, nw = 1651 zThAr.0022.ec.fits: ap = 87, w1 = 4123.002, w2 = 4036.121, dw = -0.05266, nw = 1651 zThAr.0022.ec.fits: ap = 88, w1 = 4093.56, w2 = 4007.3, dw = -0.05228, nw = 1651 zThAr.0022.ec.fits: ap = 89, w1 = 4064.537, w2 = 3978.889, dw = -0.05191, nw = 1651 zThAr.0022.ec.fits: ap = 90, w1 = 4035.922, w2 = 3950.877, dw = -0.05154, nw = 1651 zThAr.0022.ec.fits: ap = 91, w1 = 4007.707, w2 = 3923.257, dw = -0.05118, nw = 1651 zThAr.0022.ec.fits: ap = 92, w1 = 3979.884, w2 = 3896.02, dw = -0.05083, nw = 1651 zThAr.0022.ec.fits: ap = 93, w1 = 3952.445, w2 = 3869.159, dw = -0.05048, nw = 1651 zThAr.0022.ec.fits: ap = 94, w1 = 3925.382, w2 = 3842.665, dw = -0.05013, nw = 1651 zThAr.0022.ec.fits: ap = 95, w1 = 3898.687, w2 = 3816.532, dw = -0.04979, nw = 1651 zThAr.0022.ec.fits: ap = 96, w1 = 3872.354, w2 = 3790.752, dw = -0.04946, nw = 1651 zThAr.0022.ec.fits: ap = 97, w1 = 3846.373, w2 = 3765.318, dw = -0.04912, nw = 1651 zThAr.0022.ec.fits: ap = 98, w1 = 3820.739, w2 = 3740.223, dw = -0.0488, nw = 1651 zThAr.0022.ec.fits: ap = 99, w1 = 3795.445, w2 = 3715.459, dw = -0.04848, nw = 1651 zThAr.0022.ec.fits: ap = 100, w1 = 3770.483, w2 = 3691.022, dw = -0.04816, nw = 1651 zThAr.0022.ec.fits: ap = 101, w1 = 3745.848, w2 = 3666.904, dw = -0.04785, nw = 1651 zThAr.0022.ec.fits: ap = 102, w1 = 3721.533, w2 = 3643.098, dw = -0.04754, nw = 1651 zThAr.0022.ec.fits: ap = 103, w1 = 3697.532, w2 = 3619.6, dw = -0.04723, nw = 1651 zThAr.0022.ec.fits: ap = 104, w1 = 3673.838, w2 = 3596.402, dw = -0.04693, nw = 1651 zThAr.0022.ec.fits: ap = 105, w1 = 3650.447, w2 = 3573.5, dw = -0.04663, nw = 1651 zThAr.0022.ec.fits: ap = 106, w1 = 3627.351, w2 = 3550.888, dw = -0.04634, nw = 1651 zThAr.0022.ec.fits: ap = 107, w1 = 3604.546, w2 = 3528.559, dw = -0.04605, nw = 1651 zThAr.0022.ec.fits: ap = 108, w1 = 3582.026, w2 = 3506.51, dw = -0.04577, nw = 1651 zThAr.0022.ec.fits: ap = 109, w1 = 3559.786, w2 = 3484.733, dw = -0.04549, nw = 1651 zThAr.0022.ec.fits: ap = 110, w1 = 3537.821, w2 = 3463.226, dw = -0.04521, nw = 1651 zThAr.0022.ec.fits: ap = 111, w1 = 3516.125, w2 = 3441.982, dw = -0.04494, nw = 1651 zThAr.0022.ec.fits: ap = 112, w1 = 3494.693, w2 = 3420.996, dw = -0.04466, nw = 1651 zThAr.0022.ec.fits: ap = 113, w1 = 3473.522, w2 = 3400.265, dw = -0.0444, nw = 1651 zThAr.0022.ec.fits: ap = 114, w1 = 3452.606, w2 = 3379.783, dw = -0.04413, nw = 1651 zThAr.0022.ec.fits: ap = 115, w1 = 3431.94, w2 = 3359.546, dw = -0.04388, nw = 1651 ThAr.0026.ec.fits: REFSPEC1 = 'ThAr.0026.ec 1.' zThAr.0026.ec.fits: ap = 1, w1 = 10811.8, w2 = 10583.6, dw = -0.1383, nw = 1651 zThAr.0026.ec.fits: ap = 2, w1 = 10611.6, w2 = 10387.63, dw = -0.13574, nw = 1651 zThAr.0026.ec.fits: ap = 3, w1 = 10418.67, w2 = 10198.78, dw = -0.13327, nw = 1651 zThAr.0026.ec.fits: ap = 4, w1 = 10232.64, w2 = 10016.68, dw = -0.13088, nw = 1651 zThAr.0026.ec.fits: ap = 5, w1 = 10053.13, w2 = 9840.966, dw = -0.12858, nw = 1651 zThAr.0026.ec.fits: ap = 6, w1 = 9879.814, w2 = 9671.312, dw = -0.12637, nw = 1651 zThAr.0026.ec.fits: ap = 7, w1 = 9712.373, w2 = 9507.408, dw = -0.12422, nw = 1651 zThAr.0026.ec.fits: ap = 8, w1 = 9550.512, w2 = 9348.967, dw = -0.12215, nw = 1651 zThAr.0026.ec.fits: ap = 9, w1 = 9393.959, w2 = 9195.721, dw = -0.12014, nw = 1651 zThAr.0026.ec.fits: ap = 10, w1 = 9242.456, w2 = 9047.419, dw = -0.1182, nw = 1651 zThAr.0026.ec.fits: ap = 11, w1 = 9095.762, w2 = 8903.824, dw = -0.11633, nw = 1651 zThAr.0026.ec.fits: ap = 12, w1 = 8953.652, w2 = 8764.717, dw = -0.11451, nw = 1651 zThAr.0026.ec.fits: ap = 13, w1 = 8815.915, w2 = 8629.889, dw = -0.11274, nw = 1651 zThAr.0026.ec.fits: ap = 14, w1 = 8682.352, w2 = 8499.147, dw = -0.11103, nw = 1651 zThAr.0026.ec.fits: ap = 15, w1 = 8552.776, w2 = 8372.308, dw = -0.10937, nw = 1651 zThAr.0026.ec.fits: ap = 16, w1 = 8427.01, w2 = 8249.199, dw = -0.10776, nw = 1651 zThAr.0026.ec.fits: ap = 17, w1 = 8304.891, w2 = 8129.659, dw = -0.1062, nw = 1651 zThAr.0026.ec.fits: ap = 18, w1 = 8186.26, w2 = 8013.534, dw = -0.10468, nw = 1651 zThAr.0026.ec.fits: ap = 19, w1 = 8070.971, w2 = 7900.68, dw = -0.10321, nw = 1651 zThAr.0026.ec.fits: ap = 20, w1 = 7958.884, w2 = 7790.961, dw = -0.10177, nw = 1651 zThAr.0026.ec.fits: ap = 21, w1 = 7849.868, w2 = 7684.248, dw = -0.10038, nw = 1651 zThAr.0026.ec.fits: ap = 22, w1 = 7743.799, w2 = 7580.419, dw = -0.09902, nw = 1651 zThAr.0026.ec.fits: ap = 23, w1 = 7640.558, w2 = 7479.358, dw = -0.0977, nw = 1651 zThAr.0026.ec.fits: ap = 24, w1 = 7540.034, w2 = 7380.957, dw = -0.09641, nw = 1651 zThAr.0026.ec.fits: ap = 25, w1 = 7442.121, w2 = 7285.112, dw = -0.09516, nw = 1651 zThAr.0026.ec.fits: ap = 26, w1 = 7346.718, w2 = 7191.725, dw = -0.09394, nw = 1651 zThAr.0026.ec.fits: ap = 27, w1 = 7253.731, w2 = 7100.702, dw = -0.09275, nw = 1651 zThAr.0026.ec.fits: ap = 28, w1 = 7163.069, w2 = 7011.954, dw = -0.09158, nw = 1651 zThAr.0026.ec.fits: ap = 29, w1 = 7074.645, w2 = 6925.398, dw = -0.09045, nw = 1651 zThAr.0026.ec.fits: ap = 30, w1 = 6988.378, w2 = 6840.953, dw = -0.08935, nw = 1651 zThAr.0026.ec.fits: ap = 31, w1 = 6904.189, w2 = 6758.542, dw = -0.08827, nw = 1651 zThAr.0026.ec.fits: ap = 32, w1 = 6822.005, w2 = 6678.094, dw = -0.08722, nw = 1651 zThAr.0026.ec.fits: ap = 33, w1 = 6741.755, w2 = 6599.539, dw = -0.08619, nw = 1651 zThAr.0026.ec.fits: ap = 34, w1 = 6663.371, w2 = 6522.811, dw = -0.08519, nw = 1651 zThAr.0026.ec.fits: ap = 35, w1 = 6586.789, w2 = 6447.846, dw = -0.08421, nw = 1651 zThAr.0026.ec.fits: ap = 36, w1 = 6511.947, w2 = 6374.586, dw = -0.08325, nw = 1651 zThAr.0026.ec.fits: ap = 37, w1 = 6438.788, w2 = 6302.972, dw = -0.08231, nw = 1651 zThAr.0026.ec.fits: ap = 38, w1 = 6367.254, w2 = 6232.949, dw = -0.0814, nw = 1651 zThAr.0026.ec.fits: ap = 39, w1 = 6297.292, w2 = 6164.465, dw = -0.0805, nw = 1651 zThAr.0026.ec.fits: ap = 40, w1 = 6228.852, w2 = 6097.47, dw = -0.07963, nw = 1651 zThAr.0026.ec.fits: ap = 41, w1 = 6161.883, w2 = 6031.916, dw = -0.07877, nw = 1651 zThAr.0026.ec.fits: ap = 42, w1 = 6096.339, w2 = 5967.757, dw = -0.07793, nw = 1651 zThAr.0026.ec.fits: ap = 43, w1 = 6032.175, w2 = 5904.948, dw = -0.07711, nw = 1651 zThAr.0026.ec.fits: ap = 44, w1 = 5969.348, w2 = 5843.448, dw = -0.0763, nw = 1651 zThAr.0026.ec.fits: ap = 45, w1 = 5907.816, w2 = 5783.217, dw = -0.07551, nw = 1651 zThAr.0026.ec.fits: ap = 46, w1 = 5847.54, w2 = 5724.214, dw = -0.07474, nw = 1651 zThAr.0026.ec.fits: ap = 47, w1 = 5788.482, w2 = 5666.404, dw = -0.07399, nw = 1651 zThAr.0026.ec.fits: ap = 48, w1 = 5730.605, w2 = 5609.749, dw = -0.07325, nw = 1651 zThAr.0026.ec.fits: ap = 49, w1 = 5673.874, w2 = 5554.217, dw = -0.07252, nw = 1651 zThAr.0026.ec.fits: ap = 50, w1 = 5618.255, w2 = 5499.774, dw = -0.07181, nw = 1651 zThAr.0026.ec.fits: ap = 51, w1 = 5563.717, w2 = 5446.388, dw = -0.07111, nw = 1651 zThAr.0026.ec.fits: ap = 52, w1 = 5510.228, w2 = 5394.028, dw = -0.07042, nw = 1651 zThAr.0026.ec.fits: ap = 53, w1 = 5457.757, w2 = 5342.667, dw = -0.06975, nw = 1651 zThAr.0026.ec.fits: ap = 54, w1 = 5406.276, w2 = 5292.274, dw = -0.06909, nw = 1651 zThAr.0026.ec.fits: ap = 55, w1 = 5355.758, w2 = 5242.823, dw = -0.06845, nw = 1651 zThAr.0026.ec.fits: ap = 56, w1 = 5306.176, w2 = 5194.288, dw = -0.06781, nw = 1651 zThAr.0026.ec.fits: ap = 57, w1 = 5257.503, w2 = 5146.644, dw = -0.06719, nw = 1651 zThAr.0026.ec.fits: ap = 58, w1 = 5209.715, w2 = 5099.866, dw = -0.06658, nw = 1651 zThAr.0026.ec.fits: ap = 59, w1 = 5162.789, w2 = 5053.931, dw = -0.06597, nw = 1651 zThAr.0026.ec.fits: ap = 60, w1 = 5116.7, w2 = 5008.816, dw = -0.06538, nw = 1651 zThAr.0026.ec.fits: ap = 61, w1 = 5071.427, w2 = 4964.5, dw = -0.0648, nw = 1651 zThAr.0026.ec.fits: ap = 62, w1 = 5026.949, w2 = 4920.961, dw = -0.06424, nw = 1651 zThAr.0026.ec.fits: ap = 63, w1 = 4983.244, w2 = 4878.18, dw = -0.06368, nw = 1651 zThAr.0026.ec.fits: ap = 64, w1 = 4940.293, w2 = 4836.136, dw = -0.06313, nw = 1651 zThAr.0026.ec.fits: ap = 65, w1 = 4898.076, w2 = 4794.811, dw = -0.06258, nw = 1651 zThAr.0026.ec.fits: ap = 66, w1 = 4856.575, w2 = 4754.187, dw = -0.06205, nw = 1651 zThAr.0026.ec.fits: ap = 67, w1 = 4815.772, w2 = 4714.246, dw = -0.06153, nw = 1651 zThAr.0026.ec.fits: ap = 68, w1 = 4775.648, w2 = 4674.97, dw = -0.06102, nw = 1651 zThAr.0026.ec.fits: ap = 69, w1 = 4736.188, w2 = 4636.343, dw = -0.06051, nw = 1651 zThAr.0026.ec.fits: ap = 70, w1 = 4697.375, w2 = 4598.35, dw = -0.06002, nw = 1651 zThAr.0026.ec.fits: ap = 71, w1 = 4659.194, w2 = 4560.975, dw = -0.05953, nw = 1651 zThAr.0026.ec.fits: ap = 72, w1 = 4621.628, w2 = 4524.202, dw = -0.05905, nw = 1651 zThAr.0026.ec.fits: ap = 73, w1 = 4584.663, w2 = 4488.018, dw = -0.05857, nw = 1651 zThAr.0026.ec.fits: ap = 74, w1 = 4548.285, w2 = 4452.409, dw = -0.05811, nw = 1651 zThAr.0026.ec.fits: ap = 75, w1 = 4512.48, w2 = 4417.36, dw = -0.05765, nw = 1651 zThAr.0026.ec.fits: ap = 76, w1 = 4477.235, w2 = 4382.859, dw = -0.0572, nw = 1651 zThAr.0026.ec.fits: ap = 77, w1 = 4442.537, w2 = 4348.893, dw = -0.05675, nw = 1651 zThAr.0026.ec.fits: ap = 78, w1 = 4408.372, w2 = 4315.449, dw = -0.05632, nw = 1651 zThAr.0026.ec.fits: ap = 79, w1 = 4374.729, w2 = 4282.517, dw = -0.05589, nw = 1651 zThAr.0026.ec.fits: ap = 80, w1 = 4341.596, w2 = 4250.083, dw = -0.05546, nw = 1651 zThAr.0026.ec.fits: ap = 81, w1 = 4308.961, w2 = 4218.137, dw = -0.05505, nw = 1651 zThAr.0026.ec.fits: ap = 82, w1 = 4276.814, w2 = 4186.668, dw = -0.05463, nw = 1651 zThAr.0026.ec.fits: ap = 83, w1 = 4245.143, w2 = 4155.665, dw = -0.05423, nw = 1651 zThAr.0026.ec.fits: ap = 84, w1 = 4213.938, w2 = 4125.118, dw = -0.05383, nw = 1651 zThAr.0026.ec.fits: ap = 85, w1 = 4183.189, w2 = 4095.017, dw = -0.05344, nw = 1651 zThAr.0026.ec.fits: ap = 86, w1 = 4152.885, w2 = 4065.352, dw = -0.05305, nw = 1651 zThAr.0026.ec.fits: ap = 87, w1 = 4123.018, w2 = 4036.115, dw = -0.05267, nw = 1651 zThAr.0026.ec.fits: ap = 88, w1 = 4093.577, w2 = 4007.295, dw = -0.05229, nw = 1651 zThAr.0026.ec.fits: ap = 89, w1 = 4064.555, w2 = 3978.883, dw = -0.05192, nw = 1651 zThAr.0026.ec.fits: ap = 90, w1 = 4035.941, w2 = 3950.872, dw = -0.05156, nw = 1651 zThAr.0026.ec.fits: ap = 91, w1 = 4007.727, w2 = 3923.253, dw = -0.0512, nw = 1651 zThAr.0026.ec.fits: ap = 92, w1 = 3979.906, w2 = 3896.018, dw = -0.05084, nw = 1651 zThAr.0026.ec.fits: ap = 93, w1 = 3952.469, w2 = 3869.158, dw = -0.05049, nw = 1651 zThAr.0026.ec.fits: ap = 94, w1 = 3925.407, w2 = 3842.666, dw = -0.05015, nw = 1651 zThAr.0026.ec.fits: ap = 95, w1 = 3898.714, w2 = 3816.534, dw = -0.04981, nw = 1651 zThAr.0026.ec.fits: ap = 96, w1 = 3872.382, w2 = 3790.756, dw = -0.04947, nw = 1651 zThAr.0026.ec.fits: ap = 97, w1 = 3846.404, w2 = 3765.324, dw = -0.04914, nw = 1651 zThAr.0026.ec.fits: ap = 98, w1 = 3820.772, w2 = 3740.231, dw = -0.04881, nw = 1651 zThAr.0026.ec.fits: ap = 99, w1 = 3795.48, w2 = 3715.47, dw = -0.04849, nw = 1651 zThAr.0026.ec.fits: ap = 100, w1 = 3770.521, w2 = 3691.035, dw = -0.04817, nw = 1651 zThAr.0026.ec.fits: ap = 101, w1 = 3745.888, w2 = 3666.919, dw = -0.04786, nw = 1651 zThAr.0026.ec.fits: ap = 102, w1 = 3721.576, w2 = 3643.117, dw = -0.04755, nw = 1651 zThAr.0026.ec.fits: ap = 103, w1 = 3697.577, w2 = 3619.622, dw = -0.04725, nw = 1651 zThAr.0026.ec.fits: ap = 104, w1 = 3673.886, w2 = 3596.428, dw = -0.04694, nw = 1651 zThAr.0026.ec.fits: ap = 105, w1 = 3650.498, w2 = 3573.529, dw = -0.04665, nw = 1651 zThAr.0026.ec.fits: ap = 106, w1 = 3627.405, w2 = 3550.921, dw = -0.04635, nw = 1651 zThAr.0026.ec.fits: ap = 107, w1 = 3604.604, w2 = 3528.596, dw = -0.04607, nw = 1651 zThAr.0026.ec.fits: ap = 108, w1 = 3582.087, w2 = 3506.551, dw = -0.04578, nw = 1651 zThAr.0026.ec.fits: ap = 109, w1 = 3559.851, w2 = 3484.78, dw = -0.0455, nw = 1651 zThAr.0026.ec.fits: ap = 110, w1 = 3537.889, w2 = 3463.277, dw = -0.04522, nw = 1651 zThAr.0026.ec.fits: ap = 111, w1 = 3516.197, w2 = 3442.038, dw = -0.04494, nw = 1651 zThAr.0026.ec.fits: ap = 112, w1 = 3494.77, w2 = 3421.058, dw = -0.04467, nw = 1651 zThAr.0026.ec.fits: ap = 113, w1 = 3473.603, w2 = 3400.333, dw = -0.04441, nw = 1651 zThAr.0026.ec.fits: ap = 114, w1 = 3452.691, w2 = 3379.857, dw = -0.04414, nw = 1651 zThAr.0026.ec.fits: ap = 115, w1 = 3432.03, w2 = 3359.626, dw = -0.04388, nw = 1651 ThAr.0032.ec.fits: REFSPEC1 = 'ThAr.0032.ec 1.' zThAr.0032.ec.fits: ap = 1, w1 = 10811.74, w2 = 10583.55, dw = -0.13829, nw = 1651 zThAr.0032.ec.fits: ap = 2, w1 = 10611.54, w2 = 10387.58, dw = -0.13573, nw = 1651 zThAr.0032.ec.fits: ap = 3, w1 = 10418.62, w2 = 10198.74, dw = -0.13326, nw = 1651 zThAr.0032.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.64, dw = -0.13088, nw = 1651 zThAr.0032.ec.fits: ap = 5, w1 = 10053.1, w2 = 9840.934, dw = -0.12858, nw = 1651 zThAr.0032.ec.fits: ap = 6, w1 = 9879.785, w2 = 9671.283, dw = -0.12637, nw = 1651 zThAr.0032.ec.fits: ap = 7, w1 = 9712.348, w2 = 9507.382, dw = -0.12422, nw = 1651 zThAr.0032.ec.fits: ap = 8, w1 = 9550.492, w2 = 9348.944, dw = -0.12215, nw = 1651 zThAr.0032.ec.fits: ap = 9, w1 = 9393.942, w2 = 9195.701, dw = -0.12015, nw = 1651 zThAr.0032.ec.fits: ap = 10, w1 = 9242.441, w2 = 9047.4, dw = -0.11821, nw = 1651 zThAr.0032.ec.fits: ap = 11, w1 = 9095.75, w2 = 8903.807, dw = -0.11633, nw = 1651 zThAr.0032.ec.fits: ap = 12, w1 = 8953.642, w2 = 8764.701, dw = -0.11451, nw = 1651 zThAr.0032.ec.fits: ap = 13, w1 = 8815.907, w2 = 8629.875, dw = -0.11275, nw = 1651 zThAr.0032.ec.fits: ap = 14, w1 = 8682.345, w2 = 8499.134, dw = -0.11104, nw = 1651 zThAr.0032.ec.fits: ap = 15, w1 = 8552.77, w2 = 8372.296, dw = -0.10938, nw = 1651 zThAr.0032.ec.fits: ap = 16, w1 = 8427.005, w2 = 8249.188, dw = -0.10777, nw = 1651 zThAr.0032.ec.fits: ap = 17, w1 = 8304.886, w2 = 8129.648, dw = -0.1062, nw = 1651 zThAr.0032.ec.fits: ap = 18, w1 = 8186.256, w2 = 8013.523, dw = -0.10469, nw = 1651 zThAr.0032.ec.fits: ap = 19, w1 = 8070.967, w2 = 7900.669, dw = -0.10321, nw = 1651 zThAr.0032.ec.fits: ap = 20, w1 = 7958.88, w2 = 7790.95, dw = -0.10178, nw = 1651 zThAr.0032.ec.fits: ap = 21, w1 = 7849.865, w2 = 7684.237, dw = -0.10038, nw = 1651 zThAr.0032.ec.fits: ap = 22, w1 = 7743.795, w2 = 7580.408, dw = -0.09902, nw = 1651 zThAr.0032.ec.fits: ap = 23, w1 = 7640.554, w2 = 7479.348, dw = -0.0977, nw = 1651 zThAr.0032.ec.fits: ap = 24, w1 = 7540.03, w2 = 7380.947, dw = -0.09641, nw = 1651 zThAr.0032.ec.fits: ap = 25, w1 = 7442.116, w2 = 7285.101, dw = -0.09516, nw = 1651 zThAr.0032.ec.fits: ap = 26, w1 = 7346.713, w2 = 7191.714, dw = -0.09394, nw = 1651 zThAr.0032.ec.fits: ap = 27, w1 = 7253.726, w2 = 7100.69, dw = -0.09275, nw = 1651 zThAr.0032.ec.fits: ap = 28, w1 = 7163.063, w2 = 7011.942, dw = -0.09159, nw = 1651 zThAr.0032.ec.fits: ap = 29, w1 = 7074.639, w2 = 6925.386, dw = -0.09046, nw = 1651 zThAr.0032.ec.fits: ap = 30, w1 = 6988.371, w2 = 6840.94, dw = -0.08935, nw = 1651 zThAr.0032.ec.fits: ap = 31, w1 = 6904.182, w2 = 6758.53, dw = -0.08827, nw = 1651 zThAr.0032.ec.fits: ap = 32, w1 = 6821.998, w2 = 6678.081, dw = -0.08722, nw = 1651 zThAr.0032.ec.fits: ap = 33, w1 = 6741.747, w2 = 6599.526, dw = -0.08619, nw = 1651 zThAr.0032.ec.fits: ap = 34, w1 = 6663.363, w2 = 6522.798, dw = -0.08519, nw = 1651 zThAr.0032.ec.fits: ap = 35, w1 = 6586.781, w2 = 6447.833, dw = -0.08421, nw = 1651 zThAr.0032.ec.fits: ap = 36, w1 = 6511.939, w2 = 6374.572, dw = -0.08325, nw = 1651 zThAr.0032.ec.fits: ap = 37, w1 = 6438.78, w2 = 6302.958, dw = -0.08232, nw = 1651 zThAr.0032.ec.fits: ap = 38, w1 = 6367.246, w2 = 6232.935, dw = -0.0814, nw = 1651 zThAr.0032.ec.fits: ap = 39, w1 = 6297.284, w2 = 6164.451, dw = -0.0805, nw = 1651 zThAr.0032.ec.fits: ap = 40, w1 = 6228.843, w2 = 6097.456, dw = -0.07963, nw = 1651 zThAr.0032.ec.fits: ap = 41, w1 = 6161.875, w2 = 6031.902, dw = -0.07877, nw = 1651 zThAr.0032.ec.fits: ap = 42, w1 = 6096.331, w2 = 5967.743, dw = -0.07793, nw = 1651 zThAr.0032.ec.fits: ap = 43, w1 = 6032.167, w2 = 5904.934, dw = -0.07711, nw = 1651 zThAr.0032.ec.fits: ap = 44, w1 = 5969.34, w2 = 5843.434, dw = -0.07631, nw = 1651 zThAr.0032.ec.fits: ap = 45, w1 = 5907.809, w2 = 5783.203, dw = -0.07552, nw = 1651 zThAr.0032.ec.fits: ap = 46, w1 = 5847.533, w2 = 5724.2, dw = -0.07475, nw = 1651 zThAr.0032.ec.fits: ap = 47, w1 = 5788.475, w2 = 5666.39, dw = -0.07399, nw = 1651 zThAr.0032.ec.fits: ap = 48, w1 = 5730.599, w2 = 5609.736, dw = -0.07325, nw = 1651 zThAr.0032.ec.fits: ap = 49, w1 = 5673.868, w2 = 5554.204, dw = -0.07252, nw = 1651 zThAr.0032.ec.fits: ap = 50, w1 = 5618.25, w2 = 5499.761, dw = -0.07181, nw = 1651 zThAr.0032.ec.fits: ap = 51, w1 = 5563.713, w2 = 5446.376, dw = -0.07111, nw = 1651 zThAr.0032.ec.fits: ap = 52, w1 = 5510.224, w2 = 5394.017, dw = -0.07043, nw = 1651 zThAr.0032.ec.fits: ap = 53, w1 = 5457.754, w2 = 5342.655, dw = -0.06976, nw = 1651 zThAr.0032.ec.fits: ap = 54, w1 = 5406.274, w2 = 5292.263, dw = -0.0691, nw = 1651 zThAr.0032.ec.fits: ap = 55, w1 = 5355.756, w2 = 5242.813, dw = -0.06845, nw = 1651 zThAr.0032.ec.fits: ap = 56, w1 = 5306.174, w2 = 5194.278, dw = -0.06782, nw = 1651 zThAr.0032.ec.fits: ap = 57, w1 = 5257.502, w2 = 5146.634, dw = -0.06719, nw = 1651 zThAr.0032.ec.fits: ap = 58, w1 = 5209.715, w2 = 5099.857, dw = -0.06658, nw = 1651 zThAr.0032.ec.fits: ap = 59, w1 = 5162.79, w2 = 5053.922, dw = -0.06598, nw = 1651 zThAr.0032.ec.fits: ap = 60, w1 = 5116.702, w2 = 5008.808, dw = -0.06539, nw = 1651 zThAr.0032.ec.fits: ap = 61, w1 = 5071.43, w2 = 4964.493, dw = -0.06481, nw = 1651 zThAr.0032.ec.fits: ap = 62, w1 = 5026.952, w2 = 4920.955, dw = -0.06424, nw = 1651 zThAr.0032.ec.fits: ap = 63, w1 = 4983.248, w2 = 4878.174, dw = -0.06368, nw = 1651 zThAr.0032.ec.fits: ap = 64, w1 = 4940.297, w2 = 4836.131, dw = -0.06313, nw = 1651 zThAr.0032.ec.fits: ap = 65, w1 = 4898.081, w2 = 4794.807, dw = -0.06259, nw = 1651 zThAr.0032.ec.fits: ap = 66, w1 = 4856.581, w2 = 4754.183, dw = -0.06206, nw = 1651 zThAr.0032.ec.fits: ap = 67, w1 = 4815.777, w2 = 4714.243, dw = -0.06154, nw = 1651 zThAr.0032.ec.fits: ap = 68, w1 = 4775.654, w2 = 4674.967, dw = -0.06102, nw = 1651 zThAr.0032.ec.fits: ap = 69, w1 = 4736.195, w2 = 4636.342, dw = -0.06052, nw = 1651 zThAr.0032.ec.fits: ap = 70, w1 = 4697.382, w2 = 4598.349, dw = -0.06002, nw = 1651 zThAr.0032.ec.fits: ap = 71, w1 = 4659.2, w2 = 4560.974, dw = -0.05953, nw = 1651 zThAr.0032.ec.fits: ap = 72, w1 = 4621.634, w2 = 4524.202, dw = -0.05905, nw = 1651 zThAr.0032.ec.fits: ap = 73, w1 = 4584.67, w2 = 4488.019, dw = -0.05858, nw = 1651 zThAr.0032.ec.fits: ap = 74, w1 = 4548.292, w2 = 4452.41, dw = -0.05811, nw = 1651 zThAr.0032.ec.fits: ap = 75, w1 = 4512.487, w2 = 4417.361, dw = -0.05765, nw = 1651 zThAr.0032.ec.fits: ap = 76, w1 = 4477.241, w2 = 4382.861, dw = -0.0572, nw = 1651 zThAr.0032.ec.fits: ap = 77, w1 = 4442.542, w2 = 4348.895, dw = -0.05676, nw = 1651 zThAr.0032.ec.fits: ap = 78, w1 = 4408.377, w2 = 4315.452, dw = -0.05632, nw = 1651 zThAr.0032.ec.fits: ap = 79, w1 = 4374.733, w2 = 4282.519, dw = -0.05589, nw = 1651 zThAr.0032.ec.fits: ap = 80, w1 = 4341.599, w2 = 4250.086, dw = -0.05546, nw = 1651 zThAr.0032.ec.fits: ap = 81, w1 = 4308.963, w2 = 4218.14, dw = -0.05504, nw = 1651 zThAr.0032.ec.fits: ap = 82, w1 = 4276.814, w2 = 4186.671, dw = -0.05463, nw = 1651 zThAr.0032.ec.fits: ap = 83, w1 = 4245.142, w2 = 4155.668, dw = -0.05423, nw = 1651 zThAr.0032.ec.fits: ap = 84, w1 = 4213.935, w2 = 4125.121, dw = -0.05383, nw = 1651 zThAr.0032.ec.fits: ap = 85, w1 = 4183.184, w2 = 4095.02, dw = -0.05343, nw = 1651 zThAr.0032.ec.fits: ap = 86, w1 = 4152.878, w2 = 4065.355, dw = -0.05304, nw = 1651 zThAr.0032.ec.fits: ap = 87, w1 = 4123.008, w2 = 4036.117, dw = -0.05266, nw = 1651 zThAr.0032.ec.fits: ap = 88, w1 = 4093.565, w2 = 4007.296, dw = -0.05228, nw = 1651 zThAr.0032.ec.fits: ap = 89, w1 = 4064.539, w2 = 3978.885, dw = -0.05191, nw = 1651 zThAr.0032.ec.fits: ap = 90, w1 = 4035.922, w2 = 3950.873, dw = -0.05155, nw = 1651 zThAr.0032.ec.fits: ap = 91, w1 = 4007.706, w2 = 3923.253, dw = -0.05118, nw = 1651 zThAr.0032.ec.fits: ap = 92, w1 = 3979.881, w2 = 3896.017, dw = -0.05083, nw = 1651 zThAr.0032.ec.fits: ap = 93, w1 = 3952.439, w2 = 3869.156, dw = -0.05047, nw = 1651 zThAr.0032.ec.fits: ap = 94, w1 = 3925.374, w2 = 3842.663, dw = -0.05013, nw = 1651 zThAr.0032.ec.fits: ap = 95, w1 = 3898.676, w2 = 3816.53, dw = -0.04979, nw = 1651 zThAr.0032.ec.fits: ap = 96, w1 = 3872.339, w2 = 3790.75, dw = -0.04945, nw = 1651 zThAr.0032.ec.fits: ap = 97, w1 = 3846.355, w2 = 3765.316, dw = -0.04911, nw = 1651 zThAr.0032.ec.fits: ap = 98, w1 = 3820.718, w2 = 3740.222, dw = -0.04879, nw = 1651 zThAr.0032.ec.fits: ap = 99, w1 = 3795.42, w2 = 3715.459, dw = -0.04846, nw = 1651 zThAr.0032.ec.fits: ap = 100, w1 = 3770.455, w2 = 3691.022, dw = -0.04814, nw = 1651 zThAr.0032.ec.fits: ap = 101, w1 = 3745.815, w2 = 3666.904, dw = -0.04782, nw = 1651 zThAr.0032.ec.fits: ap = 102, w1 = 3721.496, w2 = 3643.1, dw = -0.04751, nw = 1651 zThAr.0032.ec.fits: ap = 103, w1 = 3697.49, w2 = 3619.602, dw = -0.0472, nw = 1651 zThAr.0032.ec.fits: ap = 104, w1 = 3673.792, w2 = 3596.405, dw = -0.0469, nw = 1651 zThAr.0032.ec.fits: ap = 105, w1 = 3650.395, w2 = 3573.504, dw = -0.0466, nw = 1651 zThAr.0032.ec.fits: ap = 106, w1 = 3627.294, w2 = 3550.892, dw = -0.0463, nw = 1651 zThAr.0032.ec.fits: ap = 107, w1 = 3604.483, w2 = 3528.564, dw = -0.04601, nw = 1651 zThAr.0032.ec.fits: ap = 108, w1 = 3581.957, w2 = 3506.516, dw = -0.04572, nw = 1651 zThAr.0032.ec.fits: ap = 109, w1 = 3559.711, w2 = 3484.741, dw = -0.04544, nw = 1651 zThAr.0032.ec.fits: ap = 110, w1 = 3537.739, w2 = 3463.234, dw = -0.04515, nw = 1651 zThAr.0032.ec.fits: ap = 111, w1 = 3516.036, w2 = 3441.991, dw = -0.04488, nw = 1651 zThAr.0032.ec.fits: ap = 112, w1 = 3494.597, w2 = 3421.007, dw = -0.0446, nw = 1651 zThAr.0032.ec.fits: ap = 113, w1 = 3473.418, w2 = 3400.277, dw = -0.04433, nw = 1651 zThAr.0032.ec.fits: ap = 114, w1 = 3452.494, w2 = 3379.796, dw = -0.04406, nw = 1651 zThAr.0032.ec.fits: ap = 115, w1 = 3431.82, w2 = 3359.56, dw = -0.04379, nw = 1651 ThAr.0038.ec.fits: REFSPEC1 = 'ThAr.0038.ec 1.' zThAr.0038.ec.fits: ap = 1, w1 = 10811.72, w2 = 10583.55, dw = -0.13828, nw = 1651 zThAr.0038.ec.fits: ap = 2, w1 = 10611.52, w2 = 10387.58, dw = -0.13572, nw = 1651 zThAr.0038.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.73, dw = -0.13325, nw = 1651 zThAr.0038.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.63, dw = -0.13087, nw = 1651 zThAr.0038.ec.fits: ap = 5, w1 = 10053.07, w2 = 9840.917, dw = -0.12858, nw = 1651 zThAr.0038.ec.fits: ap = 6, w1 = 9879.759, w2 = 9671.263, dw = -0.12636, nw = 1651 zThAr.0038.ec.fits: ap = 7, w1 = 9712.321, w2 = 9507.36, dw = -0.12422, nw = 1651 zThAr.0038.ec.fits: ap = 8, w1 = 9550.464, w2 = 9348.92, dw = -0.12215, nw = 1651 zThAr.0038.ec.fits: ap = 9, w1 = 9393.914, w2 = 9195.674, dw = -0.12015, nw = 1651 zThAr.0038.ec.fits: ap = 10, w1 = 9242.413, w2 = 9047.372, dw = -0.11821, nw = 1651 zThAr.0038.ec.fits: ap = 11, w1 = 9095.722, w2 = 8903.778, dw = -0.11633, nw = 1651 zThAr.0038.ec.fits: ap = 12, w1 = 8953.614, w2 = 8764.671, dw = -0.11451, nw = 1651 zThAr.0038.ec.fits: ap = 13, w1 = 8815.879, w2 = 8629.844, dw = -0.11275, nw = 1651 zThAr.0038.ec.fits: ap = 14, w1 = 8682.317, w2 = 8499.103, dw = -0.11104, nw = 1651 zThAr.0038.ec.fits: ap = 15, w1 = 8552.742, w2 = 8372.264, dw = -0.10938, nw = 1651 zThAr.0038.ec.fits: ap = 16, w1 = 8426.977, w2 = 8249.155, dw = -0.10777, nw = 1651 zThAr.0038.ec.fits: ap = 17, w1 = 8304.858, w2 = 8129.615, dw = -0.10621, nw = 1651 zThAr.0038.ec.fits: ap = 18, w1 = 8186.228, w2 = 8013.491, dw = -0.10469, nw = 1651 zThAr.0038.ec.fits: ap = 19, w1 = 8070.939, w2 = 7900.637, dw = -0.10321, nw = 1651 zThAr.0038.ec.fits: ap = 20, w1 = 7958.853, w2 = 7790.918, dw = -0.10178, nw = 1651 zThAr.0038.ec.fits: ap = 21, w1 = 7849.838, w2 = 7684.205, dw = -0.10038, nw = 1651 zThAr.0038.ec.fits: ap = 22, w1 = 7743.768, w2 = 7580.376, dw = -0.09903, nw = 1651 zThAr.0038.ec.fits: ap = 23, w1 = 7640.528, w2 = 7479.316, dw = -0.0977, nw = 1651 zThAr.0038.ec.fits: ap = 24, w1 = 7540.004, w2 = 7380.916, dw = -0.09642, nw = 1651 zThAr.0038.ec.fits: ap = 25, w1 = 7442.091, w2 = 7285.071, dw = -0.09516, nw = 1651 zThAr.0038.ec.fits: ap = 26, w1 = 7346.688, w2 = 7191.684, dw = -0.09394, nw = 1651 zThAr.0038.ec.fits: ap = 27, w1 = 7253.701, w2 = 7100.66, dw = -0.09275, nw = 1651 zThAr.0038.ec.fits: ap = 28, w1 = 7163.038, w2 = 7011.913, dw = -0.09159, nw = 1651 zThAr.0038.ec.fits: ap = 29, w1 = 7074.614, w2 = 6925.357, dw = -0.09046, nw = 1651 zThAr.0038.ec.fits: ap = 30, w1 = 6988.347, w2 = 6840.912, dw = -0.08935, nw = 1651 zThAr.0038.ec.fits: ap = 31, w1 = 6904.158, w2 = 6758.502, dw = -0.08828, nw = 1651 zThAr.0038.ec.fits: ap = 32, w1 = 6821.974, w2 = 6678.054, dw = -0.08722, nw = 1651 zThAr.0038.ec.fits: ap = 33, w1 = 6741.724, w2 = 6599.499, dw = -0.0862, nw = 1651 zThAr.0038.ec.fits: ap = 34, w1 = 6663.34, w2 = 6522.771, dw = -0.08519, nw = 1651 zThAr.0038.ec.fits: ap = 35, w1 = 6586.758, w2 = 6447.807, dw = -0.08421, nw = 1651 zThAr.0038.ec.fits: ap = 36, w1 = 6511.917, w2 = 6374.546, dw = -0.08325, nw = 1651 zThAr.0038.ec.fits: ap = 37, w1 = 6438.757, w2 = 6302.932, dw = -0.08232, nw = 1651 zThAr.0038.ec.fits: ap = 38, w1 = 6367.223, w2 = 6232.909, dw = -0.0814, nw = 1651 zThAr.0038.ec.fits: ap = 39, w1 = 6297.262, w2 = 6164.426, dw = -0.08051, nw = 1651 zThAr.0038.ec.fits: ap = 40, w1 = 6228.821, w2 = 6097.431, dw = -0.07963, nw = 1651 zThAr.0038.ec.fits: ap = 41, w1 = 6161.853, w2 = 6031.877, dw = -0.07877, nw = 1651 zThAr.0038.ec.fits: ap = 42, w1 = 6096.309, w2 = 5967.718, dw = -0.07793, nw = 1651 zThAr.0038.ec.fits: ap = 43, w1 = 6032.145, w2 = 5904.91, dw = -0.07711, nw = 1651 zThAr.0038.ec.fits: ap = 44, w1 = 5969.318, w2 = 5843.41, dw = -0.07631, nw = 1651 zThAr.0038.ec.fits: ap = 45, w1 = 5907.787, w2 = 5783.178, dw = -0.07552, nw = 1651 zThAr.0038.ec.fits: ap = 46, w1 = 5847.511, w2 = 5724.176, dw = -0.07475, nw = 1651 zThAr.0038.ec.fits: ap = 47, w1 = 5788.454, w2 = 5666.366, dw = -0.07399, nw = 1651 zThAr.0038.ec.fits: ap = 48, w1 = 5730.577, w2 = 5609.712, dw = -0.07325, nw = 1651 zThAr.0038.ec.fits: ap = 49, w1 = 5673.847, w2 = 5554.18, dw = -0.07253, nw = 1651 zThAr.0038.ec.fits: ap = 50, w1 = 5618.229, w2 = 5499.737, dw = -0.07181, nw = 1651 zThAr.0038.ec.fits: ap = 51, w1 = 5563.691, w2 = 5446.351, dw = -0.07111, nw = 1651 zThAr.0038.ec.fits: ap = 52, w1 = 5510.202, w2 = 5393.992, dw = -0.07043, nw = 1651 zThAr.0038.ec.fits: ap = 53, w1 = 5457.732, w2 = 5342.63, dw = -0.06976, nw = 1651 zThAr.0038.ec.fits: ap = 54, w1 = 5406.252, w2 = 5292.238, dw = -0.0691, nw = 1651 zThAr.0038.ec.fits: ap = 55, w1 = 5355.734, w2 = 5242.787, dw = -0.06845, nw = 1651 zThAr.0038.ec.fits: ap = 56, w1 = 5306.152, w2 = 5194.253, dw = -0.06782, nw = 1651 zThAr.0038.ec.fits: ap = 57, w1 = 5257.48, w2 = 5146.609, dw = -0.06719, nw = 1651 zThAr.0038.ec.fits: ap = 58, w1 = 5209.692, w2 = 5099.831, dw = -0.06658, nw = 1651 zThAr.0038.ec.fits: ap = 59, w1 = 5162.766, w2 = 5053.896, dw = -0.06598, nw = 1651 zThAr.0038.ec.fits: ap = 60, w1 = 5116.678, w2 = 5008.782, dw = -0.06539, nw = 1651 zThAr.0038.ec.fits: ap = 61, w1 = 5071.406, w2 = 4964.466, dw = -0.06481, nw = 1651 zThAr.0038.ec.fits: ap = 62, w1 = 5026.928, w2 = 4920.928, dw = -0.06424, nw = 1651 zThAr.0038.ec.fits: ap = 63, w1 = 4983.224, w2 = 4878.147, dw = -0.06368, nw = 1651 zThAr.0038.ec.fits: ap = 64, w1 = 4940.273, w2 = 4836.104, dw = -0.06313, nw = 1651 zThAr.0038.ec.fits: ap = 65, w1 = 4898.057, w2 = 4794.78, dw = -0.06259, nw = 1651 zThAr.0038.ec.fits: ap = 66, w1 = 4856.556, w2 = 4754.156, dw = -0.06206, nw = 1651 zThAr.0038.ec.fits: ap = 67, w1 = 4815.752, w2 = 4714.215, dw = -0.06154, nw = 1651 zThAr.0038.ec.fits: ap = 68, w1 = 4775.629, w2 = 4674.939, dw = -0.06102, nw = 1651 zThAr.0038.ec.fits: ap = 69, w1 = 4736.169, w2 = 4636.313, dw = -0.06052, nw = 1651 zThAr.0038.ec.fits: ap = 70, w1 = 4697.356, w2 = 4598.321, dw = -0.06002, nw = 1651 zThAr.0038.ec.fits: ap = 71, w1 = 4659.174, w2 = 4560.946, dw = -0.05953, nw = 1651 zThAr.0038.ec.fits: ap = 72, w1 = 4621.608, w2 = 4524.174, dw = -0.05905, nw = 1651 zThAr.0038.ec.fits: ap = 73, w1 = 4584.643, w2 = 4487.99, dw = -0.05858, nw = 1651 zThAr.0038.ec.fits: ap = 74, w1 = 4548.265, w2 = 4452.381, dw = -0.05811, nw = 1651 zThAr.0038.ec.fits: ap = 75, w1 = 4512.46, w2 = 4417.333, dw = -0.05765, nw = 1651 zThAr.0038.ec.fits: ap = 76, w1 = 4477.214, w2 = 4382.833, dw = -0.0572, nw = 1651 zThAr.0038.ec.fits: ap = 77, w1 = 4442.515, w2 = 4348.867, dw = -0.05676, nw = 1651 zThAr.0038.ec.fits: ap = 78, w1 = 4408.349, w2 = 4315.425, dw = -0.05632, nw = 1651 zThAr.0038.ec.fits: ap = 79, w1 = 4374.706, w2 = 4282.492, dw = -0.05589, nw = 1651 zThAr.0038.ec.fits: ap = 80, w1 = 4341.571, w2 = 4250.059, dw = -0.05546, nw = 1651 zThAr.0038.ec.fits: ap = 81, w1 = 4308.936, w2 = 4218.114, dw = -0.05504, nw = 1651 zThAr.0038.ec.fits: ap = 82, w1 = 4276.787, w2 = 4186.646, dw = -0.05463, nw = 1651 zThAr.0038.ec.fits: ap = 83, w1 = 4245.114, w2 = 4155.644, dw = -0.05422, nw = 1651 zThAr.0038.ec.fits: ap = 84, w1 = 4213.907, w2 = 4125.098, dw = -0.05382, nw = 1651 zThAr.0038.ec.fits: ap = 85, w1 = 4183.156, w2 = 4094.997, dw = -0.05343, nw = 1651 zThAr.0038.ec.fits: ap = 86, w1 = 4152.851, w2 = 4065.334, dw = -0.05304, nw = 1651 zThAr.0038.ec.fits: ap = 87, w1 = 4122.981, w2 = 4036.097, dw = -0.05266, nw = 1651 zThAr.0038.ec.fits: ap = 88, w1 = 4093.538, w2 = 4007.278, dw = -0.05228, nw = 1651 zThAr.0038.ec.fits: ap = 89, w1 = 4064.513, w2 = 3978.867, dw = -0.05191, nw = 1651 zThAr.0038.ec.fits: ap = 90, w1 = 4035.896, w2 = 3950.857, dw = -0.05154, nw = 1651 zThAr.0038.ec.fits: ap = 91, w1 = 4007.679, w2 = 3923.239, dw = -0.05118, nw = 1651 zThAr.0038.ec.fits: ap = 92, w1 = 3979.855, w2 = 3896.004, dw = -0.05082, nw = 1651 zThAr.0038.ec.fits: ap = 93, w1 = 3952.414, w2 = 3869.145, dw = -0.05047, nw = 1651 zThAr.0038.ec.fits: ap = 94, w1 = 3925.348, w2 = 3842.655, dw = -0.05012, nw = 1651 zThAr.0038.ec.fits: ap = 95, w1 = 3898.651, w2 = 3816.524, dw = -0.04977, nw = 1651 zThAr.0038.ec.fits: ap = 96, w1 = 3872.315, w2 = 3790.747, dw = -0.04944, nw = 1651 zThAr.0038.ec.fits: ap = 97, w1 = 3846.332, w2 = 3765.316, dw = -0.0491, nw = 1651 zThAr.0038.ec.fits: ap = 98, w1 = 3820.695, w2 = 3740.224, dw = -0.04877, nw = 1651 zThAr.0038.ec.fits: ap = 99, w1 = 3795.398, w2 = 3715.464, dw = -0.04844, nw = 1651 zThAr.0038.ec.fits: ap = 100, w1 = 3770.433, w2 = 3691.03, dw = -0.04812, nw = 1651 zThAr.0038.ec.fits: ap = 101, w1 = 3745.794, w2 = 3666.916, dw = -0.04781, nw = 1651 zThAr.0038.ec.fits: ap = 102, w1 = 3721.476, w2 = 3643.115, dw = -0.04749, nw = 1651 zThAr.0038.ec.fits: ap = 103, w1 = 3697.471, w2 = 3619.621, dw = -0.04718, nw = 1651 zThAr.0038.ec.fits: ap = 104, w1 = 3673.773, w2 = 3596.428, dw = -0.04688, nw = 1651 zThAr.0038.ec.fits: ap = 105, w1 = 3650.377, w2 = 3573.531, dw = -0.04657, nw = 1651 zThAr.0038.ec.fits: ap = 106, w1 = 3627.278, w2 = 3550.923, dw = -0.04628, nw = 1651 zThAr.0038.ec.fits: ap = 107, w1 = 3604.468, w2 = 3528.6, dw = -0.04598, nw = 1651 zThAr.0038.ec.fits: ap = 108, w1 = 3581.943, w2 = 3506.557, dw = -0.04569, nw = 1651 zThAr.0038.ec.fits: ap = 109, w1 = 3559.698, w2 = 3484.787, dw = -0.0454, nw = 1651 zThAr.0038.ec.fits: ap = 110, w1 = 3537.728, w2 = 3463.285, dw = -0.04512, nw = 1651 zThAr.0038.ec.fits: ap = 111, w1 = 3516.027, w2 = 3442.048, dw = -0.04484, nw = 1651 zThAr.0038.ec.fits: ap = 112, w1 = 3494.59, w2 = 3421.069, dw = -0.04456, nw = 1651 zThAr.0038.ec.fits: ap = 113, w1 = 3473.412, w2 = 3400.345, dw = -0.04428, nw = 1651 zThAr.0038.ec.fits: ap = 114, w1 = 3452.49, w2 = 3379.871, dw = -0.04401, nw = 1651 zThAr.0038.ec.fits: ap = 115, w1 = 3431.818, w2 = 3359.642, dw = -0.04374, nw = 1651 ThAr.0044.ec.fits: REFSPEC1 = 'ThAr.0044.ec 1.' zThAr.0044.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.45, dw = -0.13833, nw = 1651 zThAr.0044.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.49, dw = -0.13576, nw = 1651 zThAr.0044.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.65, dw = -0.13329, nw = 1651 zThAr.0044.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.55, dw = -0.1309, nw = 1651 zThAr.0044.ec.fits: ap = 5, w1 = 10053.04, w2 = 9840.848, dw = -0.1286, nw = 1651 zThAr.0044.ec.fits: ap = 6, w1 = 9879.73, w2 = 9671.2, dw = -0.12638, nw = 1651 zThAr.0044.ec.fits: ap = 7, w1 = 9712.293, w2 = 9507.303, dw = -0.12424, nw = 1651 zThAr.0044.ec.fits: ap = 8, w1 = 9550.437, w2 = 9348.867, dw = -0.12216, nw = 1651 zThAr.0044.ec.fits: ap = 9, w1 = 9393.887, w2 = 9195.626, dw = -0.12016, nw = 1651 zThAr.0044.ec.fits: ap = 10, w1 = 9242.387, w2 = 9047.328, dw = -0.11822, nw = 1651 zThAr.0044.ec.fits: ap = 11, w1 = 9095.696, w2 = 8903.737, dw = -0.11634, nw = 1651 zThAr.0044.ec.fits: ap = 12, w1 = 8953.589, w2 = 8764.633, dw = -0.11452, nw = 1651 zThAr.0044.ec.fits: ap = 13, w1 = 8815.854, w2 = 8629.808, dw = -0.11275, nw = 1651 zThAr.0044.ec.fits: ap = 14, w1 = 8682.293, w2 = 8499.069, dw = -0.11104, nw = 1651 zThAr.0044.ec.fits: ap = 15, w1 = 8552.718, w2 = 8372.232, dw = -0.10939, nw = 1651 zThAr.0044.ec.fits: ap = 16, w1 = 8426.954, w2 = 8249.126, dw = -0.10777, nw = 1651 zThAr.0044.ec.fits: ap = 17, w1 = 8304.836, w2 = 8129.587, dw = -0.10621, nw = 1651 zThAr.0044.ec.fits: ap = 18, w1 = 8186.206, w2 = 8013.463, dw = -0.10469, nw = 1651 zThAr.0044.ec.fits: ap = 19, w1 = 8070.918, w2 = 7900.611, dw = -0.10322, nw = 1651 zThAr.0044.ec.fits: ap = 20, w1 = 7958.833, w2 = 7790.893, dw = -0.10178, nw = 1651 zThAr.0044.ec.fits: ap = 21, w1 = 7849.818, w2 = 7684.181, dw = -0.10039, nw = 1651 zThAr.0044.ec.fits: ap = 22, w1 = 7743.749, w2 = 7580.352, dw = -0.09903, nw = 1651 zThAr.0044.ec.fits: ap = 23, w1 = 7640.509, w2 = 7479.293, dw = -0.09771, nw = 1651 zThAr.0044.ec.fits: ap = 24, w1 = 7539.985, w2 = 7380.892, dw = -0.09642, nw = 1651 zThAr.0044.ec.fits: ap = 25, w1 = 7442.073, w2 = 7285.048, dw = -0.09517, nw = 1651 zThAr.0044.ec.fits: ap = 26, w1 = 7346.671, w2 = 7191.661, dw = -0.09395, nw = 1651 zThAr.0044.ec.fits: ap = 27, w1 = 7253.684, w2 = 7100.638, dw = -0.09275, nw = 1651 zThAr.0044.ec.fits: ap = 28, w1 = 7163.022, w2 = 7011.891, dw = -0.09159, nw = 1651 zThAr.0044.ec.fits: ap = 29, w1 = 7074.598, w2 = 6925.335, dw = -0.09046, nw = 1651 zThAr.0044.ec.fits: ap = 30, w1 = 6988.331, w2 = 6840.89, dw = -0.08936, nw = 1651 zThAr.0044.ec.fits: ap = 31, w1 = 6904.143, w2 = 6758.48, dw = -0.08828, nw = 1651 zThAr.0044.ec.fits: ap = 32, w1 = 6821.959, w2 = 6678.032, dw = -0.08723, nw = 1651 zThAr.0044.ec.fits: ap = 33, w1 = 6741.709, w2 = 6599.477, dw = -0.0862, nw = 1651 zThAr.0044.ec.fits: ap = 34, w1 = 6663.325, w2 = 6522.749, dw = -0.0852, nw = 1651 zThAr.0044.ec.fits: ap = 35, w1 = 6586.744, w2 = 6447.785, dw = -0.08422, nw = 1651 zThAr.0044.ec.fits: ap = 36, w1 = 6511.903, w2 = 6374.525, dw = -0.08326, nw = 1651 zThAr.0044.ec.fits: ap = 37, w1 = 6438.743, w2 = 6302.911, dw = -0.08232, nw = 1651 zThAr.0044.ec.fits: ap = 38, w1 = 6367.21, w2 = 6232.889, dw = -0.08141, nw = 1651 zThAr.0044.ec.fits: ap = 39, w1 = 6297.248, w2 = 6164.405, dw = -0.08051, nw = 1651 zThAr.0044.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.411, dw = -0.07963, nw = 1651 zThAr.0044.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.857, dw = -0.07878, nw = 1651 zThAr.0044.ec.fits: ap = 42, w1 = 6096.296, w2 = 5967.698, dw = -0.07794, nw = 1651 zThAr.0044.ec.fits: ap = 43, w1 = 6032.133, w2 = 5904.891, dw = -0.07712, nw = 1651 zThAr.0044.ec.fits: ap = 44, w1 = 5969.306, w2 = 5843.391, dw = -0.07631, nw = 1651 zThAr.0044.ec.fits: ap = 45, w1 = 5907.775, w2 = 5783.16, dw = -0.07552, nw = 1651 zThAr.0044.ec.fits: ap = 46, w1 = 5847.499, w2 = 5724.158, dw = -0.07475, nw = 1651 zThAr.0044.ec.fits: ap = 47, w1 = 5788.442, w2 = 5666.348, dw = -0.074, nw = 1651 zThAr.0044.ec.fits: ap = 48, w1 = 5730.565, w2 = 5609.695, dw = -0.07325, nw = 1651 zThAr.0044.ec.fits: ap = 49, w1 = 5673.835, w2 = 5554.164, dw = -0.07253, nw = 1651 zThAr.0044.ec.fits: ap = 50, w1 = 5618.217, w2 = 5499.721, dw = -0.07182, nw = 1651 zThAr.0044.ec.fits: ap = 51, w1 = 5563.679, w2 = 5446.336, dw = -0.07112, nw = 1651 zThAr.0044.ec.fits: ap = 52, w1 = 5510.191, w2 = 5393.977, dw = -0.07043, nw = 1651 zThAr.0044.ec.fits: ap = 53, w1 = 5457.721, w2 = 5342.616, dw = -0.06976, nw = 1651 zThAr.0044.ec.fits: ap = 54, w1 = 5406.241, w2 = 5292.225, dw = -0.0691, nw = 1651 zThAr.0044.ec.fits: ap = 55, w1 = 5355.724, w2 = 5242.775, dw = -0.06845, nw = 1651 zThAr.0044.ec.fits: ap = 56, w1 = 5306.142, w2 = 5194.241, dw = -0.06782, nw = 1651 zThAr.0044.ec.fits: ap = 57, w1 = 5257.47, w2 = 5146.598, dw = -0.0672, nw = 1651 zThAr.0044.ec.fits: ap = 58, w1 = 5209.683, w2 = 5099.821, dw = -0.06658, nw = 1651 zThAr.0044.ec.fits: ap = 59, w1 = 5162.757, w2 = 5053.887, dw = -0.06598, nw = 1651 zThAr.0044.ec.fits: ap = 60, w1 = 5116.67, w2 = 5008.773, dw = -0.06539, nw = 1651 zThAr.0044.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.458, dw = -0.06481, nw = 1651 zThAr.0044.ec.fits: ap = 62, w1 = 5026.92, w2 = 4920.921, dw = -0.06424, nw = 1651 zThAr.0044.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.141, dw = -0.06368, nw = 1651 zThAr.0044.ec.fits: ap = 64, w1 = 4940.266, w2 = 4836.098, dw = -0.06313, nw = 1651 zThAr.0044.ec.fits: ap = 65, w1 = 4898.05, w2 = 4794.774, dw = -0.06259, nw = 1651 zThAr.0044.ec.fits: ap = 66, w1 = 4856.55, w2 = 4754.151, dw = -0.06206, nw = 1651 zThAr.0044.ec.fits: ap = 67, w1 = 4815.747, w2 = 4714.211, dw = -0.06154, nw = 1651 zThAr.0044.ec.fits: ap = 68, w1 = 4775.625, w2 = 4674.936, dw = -0.06102, nw = 1651 zThAr.0044.ec.fits: ap = 69, w1 = 4736.166, w2 = 4636.31, dw = -0.06052, nw = 1651 zThAr.0044.ec.fits: ap = 70, w1 = 4697.354, w2 = 4598.318, dw = -0.06002, nw = 1651 zThAr.0044.ec.fits: ap = 71, w1 = 4659.173, w2 = 4560.944, dw = -0.05953, nw = 1651 zThAr.0044.ec.fits: ap = 72, w1 = 4621.608, w2 = 4524.172, dw = -0.05905, nw = 1651 zThAr.0044.ec.fits: ap = 73, w1 = 4584.644, w2 = 4487.989, dw = -0.05858, nw = 1651 zThAr.0044.ec.fits: ap = 74, w1 = 4548.267, w2 = 4452.38, dw = -0.05811, nw = 1651 zThAr.0044.ec.fits: ap = 75, w1 = 4512.463, w2 = 4417.332, dw = -0.05765, nw = 1651 zThAr.0044.ec.fits: ap = 76, w1 = 4477.218, w2 = 4382.832, dw = -0.0572, nw = 1651 zThAr.0044.ec.fits: ap = 77, w1 = 4442.52, w2 = 4348.866, dw = -0.05676, nw = 1651 zThAr.0044.ec.fits: ap = 78, w1 = 4408.356, w2 = 4315.423, dw = -0.05632, nw = 1651 zThAr.0044.ec.fits: ap = 79, w1 = 4374.714, w2 = 4282.491, dw = -0.05589, nw = 1651 zThAr.0044.ec.fits: ap = 80, w1 = 4341.581, w2 = 4250.057, dw = -0.05547, nw = 1651 zThAr.0044.ec.fits: ap = 81, w1 = 4308.947, w2 = 4218.112, dw = -0.05505, nw = 1651 zThAr.0044.ec.fits: ap = 82, w1 = 4276.8, w2 = 4186.643, dw = -0.05464, nw = 1651 zThAr.0044.ec.fits: ap = 83, w1 = 4245.129, w2 = 4155.64, dw = -0.05424, nw = 1651 zThAr.0044.ec.fits: ap = 84, w1 = 4213.925, w2 = 4125.093, dw = -0.05384, nw = 1651 zThAr.0044.ec.fits: ap = 85, w1 = 4183.175, w2 = 4094.992, dw = -0.05344, nw = 1651 zThAr.0044.ec.fits: ap = 86, w1 = 4152.872, w2 = 4065.327, dw = -0.05306, nw = 1651 zThAr.0044.ec.fits: ap = 87, w1 = 4123.005, w2 = 4036.088, dw = -0.05268, nw = 1651 zThAr.0044.ec.fits: ap = 88, w1 = 4093.564, w2 = 4007.268, dw = -0.0523, nw = 1651 zThAr.0044.ec.fits: ap = 89, w1 = 4064.541, w2 = 3978.856, dw = -0.05193, nw = 1651 zThAr.0044.ec.fits: ap = 90, w1 = 4035.927, w2 = 3950.844, dw = -0.05157, nw = 1651 zThAr.0044.ec.fits: ap = 91, w1 = 4007.714, w2 = 3923.223, dw = -0.05121, nw = 1651 zThAr.0044.ec.fits: ap = 92, w1 = 3979.892, w2 = 3895.986, dw = -0.05085, nw = 1651 zThAr.0044.ec.fits: ap = 93, w1 = 3952.454, w2 = 3869.125, dw = -0.0505, nw = 1651 zThAr.0044.ec.fits: ap = 94, w1 = 3925.392, w2 = 3842.631, dw = -0.05016, nw = 1651 zThAr.0044.ec.fits: ap = 95, w1 = 3898.698, w2 = 3816.498, dw = -0.04982, nw = 1651 zThAr.0044.ec.fits: ap = 96, w1 = 3872.365, w2 = 3790.717, dw = -0.04948, nw = 1651 zThAr.0044.ec.fits: ap = 97, w1 = 3846.386, w2 = 3765.283, dw = -0.04915, nw = 1651 zThAr.0044.ec.fits: ap = 98, w1 = 3820.753, w2 = 3740.187, dw = -0.04883, nw = 1651 zThAr.0044.ec.fits: ap = 99, w1 = 3795.459, w2 = 3715.424, dw = -0.04851, nw = 1651 zThAr.0044.ec.fits: ap = 100, w1 = 3770.499, w2 = 3690.986, dw = -0.04819, nw = 1651 zThAr.0044.ec.fits: ap = 101, w1 = 3745.865, w2 = 3666.867, dw = -0.04788, nw = 1651 zThAr.0044.ec.fits: ap = 102, w1 = 3721.55, w2 = 3643.061, dw = -0.04757, nw = 1651 zThAr.0044.ec.fits: ap = 103, w1 = 3697.55, w2 = 3619.562, dw = -0.04727, nw = 1651 zThAr.0044.ec.fits: ap = 104, w1 = 3673.857, w2 = 3596.364, dw = -0.04697, nw = 1651 zThAr.0044.ec.fits: ap = 105, w1 = 3650.466, w2 = 3573.461, dw = -0.04667, nw = 1651 zThAr.0044.ec.fits: ap = 106, w1 = 3627.372, w2 = 3550.848, dw = -0.04638, nw = 1651 zThAr.0044.ec.fits: ap = 107, w1 = 3604.567, w2 = 3528.519, dw = -0.04609, nw = 1651 zThAr.0044.ec.fits: ap = 108, w1 = 3582.048, w2 = 3506.468, dw = -0.04581, nw = 1651 zThAr.0044.ec.fits: ap = 109, w1 = 3559.809, w2 = 3484.691, dw = -0.04553, nw = 1651 zThAr.0044.ec.fits: ap = 110, w1 = 3537.844, w2 = 3463.183, dw = -0.04525, nw = 1651 zThAr.0044.ec.fits: ap = 111, w1 = 3516.149, w2 = 3441.938, dw = -0.04498, nw = 1651 zThAr.0044.ec.fits: ap = 112, w1 = 3494.718, w2 = 3420.952, dw = -0.04471, nw = 1651 zThAr.0044.ec.fits: ap = 113, w1 = 3473.547, w2 = 3400.219, dw = -0.04444, nw = 1651 zThAr.0044.ec.fits: ap = 114, w1 = 3452.631, w2 = 3379.736, dw = -0.04418, nw = 1651 zThAr.0044.ec.fits: ap = 115, w1 = 3431.966, w2 = 3359.498, dw = -0.04392, nw = 1651 ThAr.0049.ec.fits: REFSPEC1 = 'ThAr.0049.ec 1.' zThAr.0049.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.48, dw = -0.13831, nw = 1651 zThAr.0049.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.51, dw = -0.13575, nw = 1651 zThAr.0049.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.67, dw = -0.13327, nw = 1651 zThAr.0049.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.57, dw = -0.13089, nw = 1651 zThAr.0049.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.857, dw = -0.12859, nw = 1651 zThAr.0049.ec.fits: ap = 6, w1 = 9879.721, w2 = 9671.206, dw = -0.12637, nw = 1651 zThAr.0049.ec.fits: ap = 7, w1 = 9712.282, w2 = 9507.305, dw = -0.12423, nw = 1651 zThAr.0049.ec.fits: ap = 8, w1 = 9550.424, w2 = 9348.867, dw = -0.12216, nw = 1651 zThAr.0049.ec.fits: ap = 9, w1 = 9393.874, w2 = 9195.624, dw = -0.12015, nw = 1651 zThAr.0049.ec.fits: ap = 10, w1 = 9242.373, w2 = 9047.324, dw = -0.11821, nw = 1651 zThAr.0049.ec.fits: ap = 11, w1 = 9095.681, w2 = 8903.731, dw = -0.11633, nw = 1651 zThAr.0049.ec.fits: ap = 12, w1 = 8953.574, w2 = 8764.625, dw = -0.11451, nw = 1651 zThAr.0049.ec.fits: ap = 13, w1 = 8815.839, w2 = 8629.8, dw = -0.11275, nw = 1651 zThAr.0049.ec.fits: ap = 14, w1 = 8682.278, w2 = 8499.06, dw = -0.11104, nw = 1651 zThAr.0049.ec.fits: ap = 15, w1 = 8552.703, w2 = 8372.222, dw = -0.10938, nw = 1651 zThAr.0049.ec.fits: ap = 16, w1 = 8426.94, w2 = 8249.115, dw = -0.10777, nw = 1651 zThAr.0049.ec.fits: ap = 17, w1 = 8304.821, w2 = 8129.576, dw = -0.10621, nw = 1651 zThAr.0049.ec.fits: ap = 18, w1 = 8186.192, w2 = 8013.452, dw = -0.10469, nw = 1651 zThAr.0049.ec.fits: ap = 19, w1 = 8070.905, w2 = 7900.599, dw = -0.10322, nw = 1651 zThAr.0049.ec.fits: ap = 20, w1 = 7958.82, w2 = 7790.881, dw = -0.10178, nw = 1651 zThAr.0049.ec.fits: ap = 21, w1 = 7849.805, w2 = 7684.169, dw = -0.10039, nw = 1651 zThAr.0049.ec.fits: ap = 22, w1 = 7743.737, w2 = 7580.341, dw = -0.09903, nw = 1651 zThAr.0049.ec.fits: ap = 23, w1 = 7640.497, w2 = 7479.282, dw = -0.09771, nw = 1651 zThAr.0049.ec.fits: ap = 24, w1 = 7539.975, w2 = 7380.882, dw = -0.09642, nw = 1651 zThAr.0049.ec.fits: ap = 25, w1 = 7442.063, w2 = 7285.038, dw = -0.09517, nw = 1651 zThAr.0049.ec.fits: ap = 26, w1 = 7346.662, w2 = 7191.651, dw = -0.09395, nw = 1651 zThAr.0049.ec.fits: ap = 27, w1 = 7253.675, w2 = 7100.628, dw = -0.09276, nw = 1651 zThAr.0049.ec.fits: ap = 28, w1 = 7163.014, w2 = 7011.882, dw = -0.0916, nw = 1651 zThAr.0049.ec.fits: ap = 29, w1 = 7074.591, w2 = 6925.326, dw = -0.09046, nw = 1651 zThAr.0049.ec.fits: ap = 30, w1 = 6988.325, w2 = 6840.882, dw = -0.08936, nw = 1651 zThAr.0049.ec.fits: ap = 31, w1 = 6904.137, w2 = 6758.472, dw = -0.08828, nw = 1651 zThAr.0049.ec.fits: ap = 32, w1 = 6821.954, w2 = 6678.024, dw = -0.08723, nw = 1651 zThAr.0049.ec.fits: ap = 33, w1 = 6741.705, w2 = 6599.47, dw = -0.0862, nw = 1651 zThAr.0049.ec.fits: ap = 34, w1 = 6663.322, w2 = 6522.742, dw = -0.0852, nw = 1651 zThAr.0049.ec.fits: ap = 35, w1 = 6586.741, w2 = 6447.779, dw = -0.08422, nw = 1651 zThAr.0049.ec.fits: ap = 36, w1 = 6511.9, w2 = 6374.519, dw = -0.08326, nw = 1651 zThAr.0049.ec.fits: ap = 37, w1 = 6438.741, w2 = 6302.905, dw = -0.08233, nw = 1651 zThAr.0049.ec.fits: ap = 38, w1 = 6367.208, w2 = 6232.883, dw = -0.08141, nw = 1651 zThAr.0049.ec.fits: ap = 39, w1 = 6297.248, w2 = 6164.4, dw = -0.08051, nw = 1651 zThAr.0049.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.405, dw = -0.07964, nw = 1651 zThAr.0049.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.852, dw = -0.07878, nw = 1651 zThAr.0049.ec.fits: ap = 42, w1 = 6096.297, w2 = 5967.693, dw = -0.07794, nw = 1651 zThAr.0049.ec.fits: ap = 43, w1 = 6032.133, w2 = 5904.885, dw = -0.07712, nw = 1651 zThAr.0049.ec.fits: ap = 44, w1 = 5969.307, w2 = 5843.386, dw = -0.07632, nw = 1651 zThAr.0049.ec.fits: ap = 45, w1 = 5907.776, w2 = 5783.155, dw = -0.07553, nw = 1651 zThAr.0049.ec.fits: ap = 46, w1 = 5847.501, w2 = 5724.153, dw = -0.07476, nw = 1651 zThAr.0049.ec.fits: ap = 47, w1 = 5788.443, w2 = 5666.343, dw = -0.074, nw = 1651 zThAr.0049.ec.fits: ap = 48, w1 = 5730.567, w2 = 5609.69, dw = -0.07326, nw = 1651 zThAr.0049.ec.fits: ap = 49, w1 = 5673.837, w2 = 5554.158, dw = -0.07253, nw = 1651 zThAr.0049.ec.fits: ap = 50, w1 = 5618.219, w2 = 5499.716, dw = -0.07182, nw = 1651 zThAr.0049.ec.fits: ap = 51, w1 = 5563.681, w2 = 5446.33, dw = -0.07112, nw = 1651 zThAr.0049.ec.fits: ap = 52, w1 = 5510.192, w2 = 5393.971, dw = -0.07044, nw = 1651 zThAr.0049.ec.fits: ap = 53, w1 = 5457.722, w2 = 5342.61, dw = -0.06977, nw = 1651 zThAr.0049.ec.fits: ap = 54, w1 = 5406.243, w2 = 5292.218, dw = -0.06911, nw = 1651 zThAr.0049.ec.fits: ap = 55, w1 = 5355.725, w2 = 5242.768, dw = -0.06846, nw = 1651 zThAr.0049.ec.fits: ap = 56, w1 = 5306.143, w2 = 5194.234, dw = -0.06782, nw = 1651 zThAr.0049.ec.fits: ap = 57, w1 = 5257.471, w2 = 5146.59, dw = -0.0672, nw = 1651 zThAr.0049.ec.fits: ap = 58, w1 = 5209.684, w2 = 5099.813, dw = -0.06659, nw = 1651 zThAr.0049.ec.fits: ap = 59, w1 = 5162.758, w2 = 5053.878, dw = -0.06599, nw = 1651 zThAr.0049.ec.fits: ap = 60, w1 = 5116.67, w2 = 5008.764, dw = -0.0654, nw = 1651 zThAr.0049.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.449, dw = -0.06482, nw = 1651 zThAr.0049.ec.fits: ap = 62, w1 = 5026.92, w2 = 4920.911, dw = -0.06425, nw = 1651 zThAr.0049.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.13, dw = -0.06369, nw = 1651 zThAr.0049.ec.fits: ap = 64, w1 = 4940.265, w2 = 4836.088, dw = -0.06314, nw = 1651 zThAr.0049.ec.fits: ap = 65, w1 = 4898.049, w2 = 4794.763, dw = -0.0626, nw = 1651 zThAr.0049.ec.fits: ap = 66, w1 = 4856.549, w2 = 4754.14, dw = -0.06207, nw = 1651 zThAr.0049.ec.fits: ap = 67, w1 = 4815.746, w2 = 4714.199, dw = -0.06154, nw = 1651 zThAr.0049.ec.fits: ap = 68, w1 = 4775.623, w2 = 4674.924, dw = -0.06103, nw = 1651 zThAr.0049.ec.fits: ap = 69, w1 = 4736.163, w2 = 4636.298, dw = -0.06052, nw = 1651 zThAr.0049.ec.fits: ap = 70, w1 = 4697.351, w2 = 4598.305, dw = -0.06003, nw = 1651 zThAr.0049.ec.fits: ap = 71, w1 = 4659.169, w2 = 4560.931, dw = -0.05954, nw = 1651 zThAr.0049.ec.fits: ap = 72, w1 = 4621.604, w2 = 4524.159, dw = -0.05906, nw = 1651 zThAr.0049.ec.fits: ap = 73, w1 = 4584.639, w2 = 4487.975, dw = -0.05858, nw = 1651 zThAr.0049.ec.fits: ap = 74, w1 = 4548.262, w2 = 4452.366, dw = -0.05812, nw = 1651 zThAr.0049.ec.fits: ap = 75, w1 = 4512.458, w2 = 4417.318, dw = -0.05766, nw = 1651 zThAr.0049.ec.fits: ap = 76, w1 = 4477.213, w2 = 4382.817, dw = -0.05721, nw = 1651 zThAr.0049.ec.fits: ap = 77, w1 = 4442.514, w2 = 4348.852, dw = -0.05677, nw = 1651 zThAr.0049.ec.fits: ap = 78, w1 = 4408.35, w2 = 4315.409, dw = -0.05633, nw = 1651 zThAr.0049.ec.fits: ap = 79, w1 = 4374.707, w2 = 4282.476, dw = -0.0559, nw = 1651 zThAr.0049.ec.fits: ap = 80, w1 = 4341.575, w2 = 4250.043, dw = -0.05547, nw = 1651 zThAr.0049.ec.fits: ap = 81, w1 = 4308.94, w2 = 4218.097, dw = -0.05506, nw = 1651 zThAr.0049.ec.fits: ap = 82, w1 = 4276.793, w2 = 4186.628, dw = -0.05465, nw = 1651 zThAr.0049.ec.fits: ap = 83, w1 = 4245.122, w2 = 4155.626, dw = -0.05424, nw = 1651 zThAr.0049.ec.fits: ap = 84, w1 = 4213.917, w2 = 4125.079, dw = -0.05384, nw = 1651 zThAr.0049.ec.fits: ap = 85, w1 = 4183.168, w2 = 4094.978, dw = -0.05345, nw = 1651 zThAr.0049.ec.fits: ap = 86, w1 = 4152.865, w2 = 4065.314, dw = -0.05306, nw = 1651 zThAr.0049.ec.fits: ap = 87, w1 = 4122.997, w2 = 4036.076, dw = -0.05268, nw = 1651 zThAr.0049.ec.fits: ap = 88, w1 = 4093.557, w2 = 4007.256, dw = -0.0523, nw = 1651 zThAr.0049.ec.fits: ap = 89, w1 = 4064.534, w2 = 3978.845, dw = -0.05193, nw = 1651 zThAr.0049.ec.fits: ap = 90, w1 = 4035.92, w2 = 3950.834, dw = -0.05157, nw = 1651 zThAr.0049.ec.fits: ap = 91, w1 = 4007.707, w2 = 3923.215, dw = -0.05121, nw = 1651 zThAr.0049.ec.fits: ap = 92, w1 = 3979.885, w2 = 3895.979, dw = -0.05085, nw = 1651 zThAr.0049.ec.fits: ap = 93, w1 = 3952.448, w2 = 3869.119, dw = -0.0505, nw = 1651 zThAr.0049.ec.fits: ap = 94, w1 = 3925.386, w2 = 3842.627, dw = -0.05016, nw = 1651 zThAr.0049.ec.fits: ap = 95, w1 = 3898.693, w2 = 3816.495, dw = -0.04982, nw = 1651 zThAr.0049.ec.fits: ap = 96, w1 = 3872.361, w2 = 3790.717, dw = -0.04948, nw = 1651 zThAr.0049.ec.fits: ap = 97, w1 = 3846.382, w2 = 3765.284, dw = -0.04915, nw = 1651 zThAr.0049.ec.fits: ap = 98, w1 = 3820.75, w2 = 3740.19, dw = -0.04882, nw = 1651 zThAr.0049.ec.fits: ap = 99, w1 = 3795.457, w2 = 3715.429, dw = -0.0485, nw = 1651 zThAr.0049.ec.fits: ap = 100, w1 = 3770.498, w2 = 3690.993, dw = -0.04818, nw = 1651 zThAr.0049.ec.fits: ap = 101, w1 = 3745.864, w2 = 3666.877, dw = -0.04787, nw = 1651 zThAr.0049.ec.fits: ap = 102, w1 = 3721.551, w2 = 3643.074, dw = -0.04756, nw = 1651 zThAr.0049.ec.fits: ap = 103, w1 = 3697.552, w2 = 3619.578, dw = -0.04726, nw = 1651 zThAr.0049.ec.fits: ap = 104, w1 = 3673.861, w2 = 3596.383, dw = -0.04696, nw = 1651 zThAr.0049.ec.fits: ap = 105, w1 = 3650.471, w2 = 3573.483, dw = -0.04666, nw = 1651 zThAr.0049.ec.fits: ap = 106, w1 = 3627.378, w2 = 3550.874, dw = -0.04637, nw = 1651 zThAr.0049.ec.fits: ap = 107, w1 = 3604.576, w2 = 3528.548, dw = -0.04608, nw = 1651 zThAr.0049.ec.fits: ap = 108, w1 = 3582.059, w2 = 3506.502, dw = -0.04579, nw = 1651 zThAr.0049.ec.fits: ap = 109, w1 = 3559.821, w2 = 3484.729, dw = -0.04551, nw = 1651 zThAr.0049.ec.fits: ap = 110, w1 = 3537.858, w2 = 3463.225, dw = -0.04523, nw = 1651 zThAr.0049.ec.fits: ap = 111, w1 = 3516.165, w2 = 3441.984, dw = -0.04496, nw = 1651 zThAr.0049.ec.fits: ap = 112, w1 = 3494.737, w2 = 3421.003, dw = -0.04469, nw = 1651 zThAr.0049.ec.fits: ap = 113, w1 = 3473.569, w2 = 3400.275, dw = -0.04442, nw = 1651 zThAr.0049.ec.fits: ap = 114, w1 = 3452.656, w2 = 3379.797, dw = -0.04416, nw = 1651 zThAr.0049.ec.fits: ap = 115, w1 = 3431.993, w2 = 3359.565, dw = -0.0439, 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 Singular solution Singular solution Combining spectra... Dec 9 15:54: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0023.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0023.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0023.ec.fits[100] 720.0 1.000 0. 0.009 130928.0023.ec.fits[101] 720.0 1.000 0. 0.009 130928.0023.ec.fits[102] 720.0 1.000 0. 0.009 130928.0023.ec.fits[103] 720.0 1.000 0. 0.009 130928.0023.ec.fits[104] 720.0 1.000 0. 0.009 130928.0023.ec.fits[105] 720.0 1.000 0. 0.009 130928.0023.ec.fits[106] 720.0 1.000 0. 0.009 130928.0023.ec.fits[107] 720.0 1.000 0. 0.009 130928.0023.ec.fits[108] 720.0 1.000 0. 0.009 130928.0023.ec.fits[109] 720.0 1.000 0. 0.009 130928.0023.ec.fits[110] 720.0 1.000 0. 0.009 130928.0023.ec.fits[111] 720.0 1.000 0. 0.009 130928.0023.ec.fits[112] 720.0 1.000 0. 0.009 130928.0023.ec.fits[113] 720.0 1.000 0. 0.009 130928.0023.ec.fits[114] 720.0 1.000 0. 0.009 130928.0023.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0023.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.568, w2 = 10811.77, dw = 0.04387672, nw = 169845., dtype = 0 Dec 9 15:55: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0024.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0024.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0024.ec.fits[100] 720.0 1.000 0. 0.009 130928.0024.ec.fits[101] 720.0 1.000 0. 0.009 130928.0024.ec.fits[102] 720.0 1.000 0. 0.009 130928.0024.ec.fits[103] 720.0 1.000 0. 0.009 130928.0024.ec.fits[104] 720.0 1.000 0. 0.009 130928.0024.ec.fits[105] 720.0 1.000 0. 0.009 130928.0024.ec.fits[106] 720.0 1.000 0. 0.009 130928.0024.ec.fits[107] 720.0 1.000 0. 0.009 130928.0024.ec.fits[108] 720.0 1.000 0. 0.009 130928.0024.ec.fits[109] 720.0 1.000 0. 0.009 130928.0024.ec.fits[110] 720.0 1.000 0. 0.009 130928.0024.ec.fits[111] 720.0 1.000 0. 0.009 130928.0024.ec.fits[112] 720.0 1.000 0. 0.009 130928.0024.ec.fits[113] 720.0 1.000 0. 0.009 130928.0024.ec.fits[114] 720.0 1.000 0. 0.009 130928.0024.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0024.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.59, w2 = 10811.78, dw = 0.04387848, nw = 169838., dtype = 0 Dec 9 15:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0025.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0025.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0025.ec.fits[100] 720.0 1.000 0. 0.009 130928.0025.ec.fits[101] 720.0 1.000 0. 0.009 130928.0025.ec.fits[102] 720.0 1.000 0. 0.009 130928.0025.ec.fits[103] 720.0 1.000 0. 0.009 130928.0025.ec.fits[104] 720.0 1.000 0. 0.009 130928.0025.ec.fits[105] 720.0 1.000 0. 0.009 130928.0025.ec.fits[106] 720.0 1.000 0. 0.009 130928.0025.ec.fits[107] 720.0 1.000 0. 0.009 130928.0025.ec.fits[108] 720.0 1.000 0. 0.009 130928.0025.ec.fits[109] 720.0 1.000 0. 0.009 130928.0025.ec.fits[110] 720.0 1.000 0. 0.009 130928.0025.ec.fits[111] 720.0 1.000 0. 0.009 130928.0025.ec.fits[112] 720.0 1.000 0. 0.009 130928.0025.ec.fits[113] 720.0 1.000 0. 0.009 130928.0025.ec.fits[114] 720.0 1.000 0. 0.009 130928.0025.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0025.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.612, w2 = 10811.79, dw = 0.04387997, nw = 169832., dtype = 0 Dec 9 15:57: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0027.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0027.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0027.ec.fits[100] 720.0 1.000 0. 0.009 130928.0027.ec.fits[101] 720.0 1.000 0. 0.009 130928.0027.ec.fits[102] 720.0 1.000 0. 0.009 130928.0027.ec.fits[103] 720.0 1.000 0. 0.009 130928.0027.ec.fits[104] 720.0 1.000 0. 0.009 130928.0027.ec.fits[105] 720.0 1.000 0. 0.009 130928.0027.ec.fits[106] 720.0 1.000 0. 0.009 130928.0027.ec.fits[107] 720.0 1.000 0. 0.009 130928.0027.ec.fits[108] 720.0 1.000 0. 0.009 130928.0027.ec.fits[109] 720.0 1.000 0. 0.009 130928.0027.ec.fits[110] 720.0 1.000 0. 0.009 130928.0027.ec.fits[111] 720.0 1.000 0. 0.009 130928.0027.ec.fits[112] 720.0 1.000 0. 0.009 130928.0027.ec.fits[113] 720.0 1.000 0. 0.009 130928.0027.ec.fits[114] 720.0 1.000 0. 0.009 130928.0027.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0027.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.618, w2 = 10811.79, dw = 0.04387038, nw = 169869., dtype = 0 Dec 9 15:58: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0028.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0028.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0028.ec.fits[100] 720.0 1.000 0. 0.009 130928.0028.ec.fits[101] 720.0 1.000 0. 0.009 130928.0028.ec.fits[102] 720.0 1.000 0. 0.009 130928.0028.ec.fits[103] 720.0 1.000 0. 0.009 130928.0028.ec.fits[104] 720.0 1.000 0. 0.009 130928.0028.ec.fits[105] 720.0 1.000 0. 0.009 130928.0028.ec.fits[106] 720.0 1.000 0. 0.009 130928.0028.ec.fits[107] 720.0 1.000 0. 0.009 130928.0028.ec.fits[108] 720.0 1.000 0. 0.009 130928.0028.ec.fits[109] 720.0 1.000 0. 0.009 130928.0028.ec.fits[110] 720.0 1.000 0. 0.009 130928.0028.ec.fits[111] 720.0 1.000 0. 0.009 130928.0028.ec.fits[112] 720.0 1.000 0. 0.009 130928.0028.ec.fits[113] 720.0 1.000 0. 0.009 130928.0028.ec.fits[114] 720.0 1.000 0. 0.009 130928.0028.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0028.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.605, w2 = 10811.78, dw = 0.04385386, nw = 169933., dtype = 0 Dec 9 15:59: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0029.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0029.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0029.ec.fits[100] 720.0 1.000 0. 0.009 130928.0029.ec.fits[101] 720.0 1.000 0. 0.009 130928.0029.ec.fits[102] 720.0 1.000 0. 0.009 130928.0029.ec.fits[103] 720.0 1.000 0. 0.009 130928.0029.ec.fits[104] 720.0 1.000 0. 0.009 130928.0029.ec.fits[105] 720.0 1.000 0. 0.009 130928.0029.ec.fits[106] 720.0 1.000 0. 0.009 130928.0029.ec.fits[107] 720.0 1.000 0. 0.009 130928.0029.ec.fits[108] 720.0 1.000 0. 0.009 130928.0029.ec.fits[109] 720.0 1.000 0. 0.009 130928.0029.ec.fits[110] 720.0 1.000 0. 0.009 130928.0029.ec.fits[111] 720.0 1.000 0. 0.009 130928.0029.ec.fits[112] 720.0 1.000 0. 0.009 130928.0029.ec.fits[113] 720.0 1.000 0. 0.009 130928.0029.ec.fits[114] 720.0 1.000 0. 0.009 130928.0029.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0029.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.593, w2 = 10811.77, dw = 0.04383736, nw = 169997., dtype = 0 Dec 9 16:00: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0030.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0030.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0030.ec.fits[100] 720.0 1.000 0. 0.009 130928.0030.ec.fits[101] 720.0 1.000 0. 0.009 130928.0030.ec.fits[102] 720.0 1.000 0. 0.009 130928.0030.ec.fits[103] 720.0 1.000 0. 0.009 130928.0030.ec.fits[104] 720.0 1.000 0. 0.009 130928.0030.ec.fits[105] 720.0 1.000 0. 0.009 130928.0030.ec.fits[106] 720.0 1.000 0. 0.009 130928.0030.ec.fits[107] 720.0 1.000 0. 0.009 130928.0030.ec.fits[108] 720.0 1.000 0. 0.009 130928.0030.ec.fits[109] 720.0 1.000 0. 0.009 130928.0030.ec.fits[110] 720.0 1.000 0. 0.009 130928.0030.ec.fits[111] 720.0 1.000 0. 0.009 130928.0030.ec.fits[112] 720.0 1.000 0. 0.009 130928.0030.ec.fits[113] 720.0 1.000 0. 0.009 130928.0030.ec.fits[114] 720.0 1.000 0. 0.009 130928.0030.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0030.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.58, w2 = 10811.76, dw = 0.04382113, nw = 170060., dtype = 0 Dec 9 16:01: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0031.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0031.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0031.ec.fits[100] 720.0 1.000 0. 0.009 130928.0031.ec.fits[101] 720.0 1.000 0. 0.009 130928.0031.ec.fits[102] 720.0 1.000 0. 0.009 130928.0031.ec.fits[103] 720.0 1.000 0. 0.009 130928.0031.ec.fits[104] 720.0 1.000 0. 0.009 130928.0031.ec.fits[105] 720.0 1.000 0. 0.009 130928.0031.ec.fits[106] 720.0 1.000 0. 0.009 130928.0031.ec.fits[107] 720.0 1.000 0. 0.009 130928.0031.ec.fits[108] 720.0 1.000 0. 0.009 130928.0031.ec.fits[109] 720.0 1.000 0. 0.009 130928.0031.ec.fits[110] 720.0 1.000 0. 0.009 130928.0031.ec.fits[111] 720.0 1.000 0. 0.009 130928.0031.ec.fits[112] 720.0 1.000 0. 0.009 130928.0031.ec.fits[113] 720.0 1.000 0. 0.009 130928.0031.ec.fits[114] 720.0 1.000 0. 0.009 130928.0031.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0031.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.568, w2 = 10811.74, dw = 0.04380438, nw = 170125., dtype = 0 Dec 9 16:01: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0033.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0033.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0033.ec.fits[100] 720.0 1.000 0. 0.009 130928.0033.ec.fits[101] 720.0 1.000 0. 0.009 130928.0033.ec.fits[102] 720.0 1.000 0. 0.009 130928.0033.ec.fits[103] 720.0 1.000 0. 0.009 130928.0033.ec.fits[104] 720.0 1.000 0. 0.009 130928.0033.ec.fits[105] 720.0 1.000 0. 0.009 130928.0033.ec.fits[106] 720.0 1.000 0. 0.009 130928.0033.ec.fits[107] 720.0 1.000 0. 0.009 130928.0033.ec.fits[108] 720.0 1.000 0. 0.009 130928.0033.ec.fits[109] 720.0 1.000 0. 0.009 130928.0033.ec.fits[110] 720.0 1.000 0. 0.009 130928.0033.ec.fits[111] 720.0 1.000 0. 0.009 130928.0033.ec.fits[112] 720.0 1.000 0. 0.009 130928.0033.ec.fits[113] 720.0 1.000 0. 0.009 130928.0033.ec.fits[114] 720.0 1.000 0. 0.009 130928.0033.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0033.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.57, w2 = 10811.73, dw = 0.04378784, nw = 170189., dtype = 0 Dec 9 16:02: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0034.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0034.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0034.ec.fits[100] 720.0 1.000 0. 0.009 130928.0034.ec.fits[101] 720.0 1.000 0. 0.009 130928.0034.ec.fits[102] 720.0 1.000 0. 0.009 130928.0034.ec.fits[103] 720.0 1.000 0. 0.009 130928.0034.ec.fits[104] 720.0 1.000 0. 0.009 130928.0034.ec.fits[105] 720.0 1.000 0. 0.009 130928.0034.ec.fits[106] 720.0 1.000 0. 0.009 130928.0034.ec.fits[107] 720.0 1.000 0. 0.009 130928.0034.ec.fits[108] 720.0 1.000 0. 0.009 130928.0034.ec.fits[109] 720.0 1.000 0. 0.009 130928.0034.ec.fits[110] 720.0 1.000 0. 0.009 130928.0034.ec.fits[111] 720.0 1.000 0. 0.009 130928.0034.ec.fits[112] 720.0 1.000 0. 0.009 130928.0034.ec.fits[113] 720.0 1.000 0. 0.009 130928.0034.ec.fits[114] 720.0 1.000 0. 0.009 130928.0034.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0034.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.585, w2 = 10811.73, dw = 0.04377821, nw = 170226., dtype = 0 Dec 9 16:03: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0035.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0035.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0035.ec.fits[100] 720.0 1.000 0. 0.009 130928.0035.ec.fits[101] 720.0 1.000 0. 0.009 130928.0035.ec.fits[102] 720.0 1.000 0. 0.009 130928.0035.ec.fits[103] 720.0 1.000 0. 0.009 130928.0035.ec.fits[104] 720.0 1.000 0. 0.009 130928.0035.ec.fits[105] 720.0 1.000 0. 0.009 130928.0035.ec.fits[106] 720.0 1.000 0. 0.009 130928.0035.ec.fits[107] 720.0 1.000 0. 0.009 130928.0035.ec.fits[108] 720.0 1.000 0. 0.009 130928.0035.ec.fits[109] 720.0 1.000 0. 0.009 130928.0035.ec.fits[110] 720.0 1.000 0. 0.009 130928.0035.ec.fits[111] 720.0 1.000 0. 0.009 130928.0035.ec.fits[112] 720.0 1.000 0. 0.009 130928.0035.ec.fits[113] 720.0 1.000 0. 0.009 130928.0035.ec.fits[114] 720.0 1.000 0. 0.009 130928.0035.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0035.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.601, w2 = 10811.73, dw = 0.04376858, nw = 170263., dtype = 0 Dec 9 16:04: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0036.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0036.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0036.ec.fits[100] 720.0 1.000 0. 0.009 130928.0036.ec.fits[101] 720.0 1.000 0. 0.009 130928.0036.ec.fits[102] 720.0 1.000 0. 0.009 130928.0036.ec.fits[103] 720.0 1.000 0. 0.009 130928.0036.ec.fits[104] 720.0 1.000 0. 0.009 130928.0036.ec.fits[105] 720.0 1.000 0. 0.009 130928.0036.ec.fits[106] 720.0 1.000 0. 0.009 130928.0036.ec.fits[107] 720.0 1.000 0. 0.009 130928.0036.ec.fits[108] 720.0 1.000 0. 0.009 130928.0036.ec.fits[109] 720.0 1.000 0. 0.009 130928.0036.ec.fits[110] 720.0 1.000 0. 0.009 130928.0036.ec.fits[111] 720.0 1.000 0. 0.009 130928.0036.ec.fits[112] 720.0 1.000 0. 0.009 130928.0036.ec.fits[113] 720.0 1.000 0. 0.009 130928.0036.ec.fits[114] 720.0 1.000 0. 0.009 130928.0036.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0036.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.617, w2 = 10811.72, dw = 0.04375844, nw = 170302., dtype = 0 Dec 9 16:04: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0037.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0037.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0037.ec.fits[100] 720.0 1.000 0. 0.009 130928.0037.ec.fits[101] 720.0 1.000 0. 0.009 130928.0037.ec.fits[102] 720.0 1.000 0. 0.009 130928.0037.ec.fits[103] 720.0 1.000 0. 0.009 130928.0037.ec.fits[104] 720.0 1.000 0. 0.009 130928.0037.ec.fits[105] 720.0 1.000 0. 0.009 130928.0037.ec.fits[106] 720.0 1.000 0. 0.009 130928.0037.ec.fits[107] 720.0 1.000 0. 0.009 130928.0037.ec.fits[108] 720.0 1.000 0. 0.009 130928.0037.ec.fits[109] 720.0 1.000 0. 0.009 130928.0037.ec.fits[110] 720.0 1.000 0. 0.009 130928.0037.ec.fits[111] 720.0 1.000 0. 0.009 130928.0037.ec.fits[112] 720.0 1.000 0. 0.009 130928.0037.ec.fits[113] 720.0 1.000 0. 0.009 130928.0037.ec.fits[114] 720.0 1.000 0. 0.009 130928.0037.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0037.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.632, w2 = 10811.72, dw = 0.04374881, nw = 170339., dtype = 0 Dec 9 16:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0039.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0039.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0039.ec.fits[100] 720.0 1.000 0. 0.009 130928.0039.ec.fits[101] 720.0 1.000 0. 0.009 130928.0039.ec.fits[102] 720.0 1.000 0. 0.009 130928.0039.ec.fits[103] 720.0 1.000 0. 0.009 130928.0039.ec.fits[104] 720.0 1.000 0. 0.009 130928.0039.ec.fits[105] 720.0 1.000 0. 0.009 130928.0039.ec.fits[106] 720.0 1.000 0. 0.009 130928.0039.ec.fits[107] 720.0 1.000 0. 0.009 130928.0039.ec.fits[108] 720.0 1.000 0. 0.009 130928.0039.ec.fits[109] 720.0 1.000 0. 0.009 130928.0039.ec.fits[110] 720.0 1.000 0. 0.009 130928.0039.ec.fits[111] 720.0 1.000 0. 0.009 130928.0039.ec.fits[112] 720.0 1.000 0. 0.009 130928.0039.ec.fits[113] 720.0 1.000 0. 0.009 130928.0039.ec.fits[114] 720.0 1.000 0. 0.009 130928.0039.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0039.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.625, w2 = 10811.71, dw = 0.04376398, nw = 170280., dtype = 0 Dec 9 16:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0040.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0040.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0040.ec.fits[100] 720.0 1.000 0. 0.009 130928.0040.ec.fits[101] 720.0 1.000 0. 0.009 130928.0040.ec.fits[102] 720.0 1.000 0. 0.009 130928.0040.ec.fits[103] 720.0 1.000 0. 0.009 130928.0040.ec.fits[104] 720.0 1.000 0. 0.009 130928.0040.ec.fits[105] 720.0 1.000 0. 0.009 130928.0040.ec.fits[106] 720.0 1.000 0. 0.009 130928.0040.ec.fits[107] 720.0 1.000 0. 0.009 130928.0040.ec.fits[108] 720.0 1.000 0. 0.009 130928.0040.ec.fits[109] 720.0 1.000 0. 0.009 130928.0040.ec.fits[110] 720.0 1.000 0. 0.009 130928.0040.ec.fits[111] 720.0 1.000 0. 0.009 130928.0040.ec.fits[112] 720.0 1.000 0. 0.009 130928.0040.ec.fits[113] 720.0 1.000 0. 0.009 130928.0040.ec.fits[114] 720.0 1.000 0. 0.009 130928.0040.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0040.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.597, w2 = 10811.71, dw = 0.04379755, nw = 170150., dtype = 0 Dec 9 16:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0041.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0041.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0041.ec.fits[100] 720.0 1.000 0. 0.009 130928.0041.ec.fits[101] 720.0 1.000 0. 0.009 130928.0041.ec.fits[102] 720.0 1.000 0. 0.009 130928.0041.ec.fits[103] 720.0 1.000 0. 0.009 130928.0041.ec.fits[104] 720.0 1.000 0. 0.009 130928.0041.ec.fits[105] 720.0 1.000 0. 0.009 130928.0041.ec.fits[106] 720.0 1.000 0. 0.009 130928.0041.ec.fits[107] 720.0 1.000 0. 0.009 130928.0041.ec.fits[108] 720.0 1.000 0. 0.009 130928.0041.ec.fits[109] 720.0 1.000 0. 0.009 130928.0041.ec.fits[110] 720.0 1.000 0. 0.009 130928.0041.ec.fits[111] 720.0 1.000 0. 0.009 130928.0041.ec.fits[112] 720.0 1.000 0. 0.009 130928.0041.ec.fits[113] 720.0 1.000 0. 0.009 130928.0041.ec.fits[114] 720.0 1.000 0. 0.009 130928.0041.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0041.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.57, w2 = 10811.7, dw = 0.04383143, nw = 170019., dtype = 0 Dec 9 16:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0042.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0042.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0042.ec.fits[100] 720.0 1.000 0. 0.009 130928.0042.ec.fits[101] 720.0 1.000 0. 0.009 130928.0042.ec.fits[102] 720.0 1.000 0. 0.009 130928.0042.ec.fits[103] 720.0 1.000 0. 0.009 130928.0042.ec.fits[104] 720.0 1.000 0. 0.009 130928.0042.ec.fits[105] 720.0 1.000 0. 0.009 130928.0042.ec.fits[106] 720.0 1.000 0. 0.009 130928.0042.ec.fits[107] 720.0 1.000 0. 0.009 130928.0042.ec.fits[108] 720.0 1.000 0. 0.009 130928.0042.ec.fits[109] 720.0 1.000 0. 0.009 130928.0042.ec.fits[110] 720.0 1.000 0. 0.009 130928.0042.ec.fits[111] 720.0 1.000 0. 0.009 130928.0042.ec.fits[112] 720.0 1.000 0. 0.009 130928.0042.ec.fits[113] 720.0 1.000 0. 0.009 130928.0042.ec.fits[114] 720.0 1.000 0. 0.009 130928.0042.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0042.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.542, w2 = 10811.7, dw = 0.04386535, nw = 169888., dtype = 0 Dec 9 16:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0043.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0043.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0043.ec.fits[100] 720.0 1.000 0. 0.009 130928.0043.ec.fits[101] 720.0 1.000 0. 0.009 130928.0043.ec.fits[102] 720.0 1.000 0. 0.009 130928.0043.ec.fits[103] 720.0 1.000 0. 0.009 130928.0043.ec.fits[104] 720.0 1.000 0. 0.009 130928.0043.ec.fits[105] 720.0 1.000 0. 0.009 130928.0043.ec.fits[106] 720.0 1.000 0. 0.009 130928.0043.ec.fits[107] 720.0 1.000 0. 0.009 130928.0043.ec.fits[108] 720.0 1.000 0. 0.009 130928.0043.ec.fits[109] 720.0 1.000 0. 0.009 130928.0043.ec.fits[110] 720.0 1.000 0. 0.009 130928.0043.ec.fits[111] 720.0 1.000 0. 0.009 130928.0043.ec.fits[112] 720.0 1.000 0. 0.009 130928.0043.ec.fits[113] 720.0 1.000 0. 0.009 130928.0043.ec.fits[114] 720.0 1.000 0. 0.009 130928.0043.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0043.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.515, w2 = 10811.69, dw = 0.04389907, nw = 169758., dtype = 0 Dec 9 16:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0045.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0045.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0045.ec.fits[100] 720.0 1.000 0. 0.009 130928.0045.ec.fits[101] 720.0 1.000 0. 0.009 130928.0045.ec.fits[102] 720.0 1.000 0. 0.009 130928.0045.ec.fits[103] 720.0 1.000 0. 0.009 130928.0045.ec.fits[104] 720.0 1.000 0. 0.009 130928.0045.ec.fits[105] 720.0 1.000 0. 0.009 130928.0045.ec.fits[106] 720.0 1.000 0. 0.009 130928.0045.ec.fits[107] 720.0 1.000 0. 0.009 130928.0045.ec.fits[108] 720.0 1.000 0. 0.009 130928.0045.ec.fits[109] 720.0 1.000 0. 0.009 130928.0045.ec.fits[110] 720.0 1.000 0. 0.009 130928.0045.ec.fits[111] 720.0 1.000 0. 0.009 130928.0045.ec.fits[112] 720.0 1.000 0. 0.009 130928.0045.ec.fits[113] 720.0 1.000 0. 0.009 130928.0045.ec.fits[114] 720.0 1.000 0. 0.009 130928.0045.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0045.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.508, w2 = 10811.69, dw = 0.04391643, nw = 169691., dtype = 0 Dec 9 16:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0046.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0046.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0046.ec.fits[100] 720.0 1.000 0. 0.009 130928.0046.ec.fits[101] 720.0 1.000 0. 0.009 130928.0046.ec.fits[102] 720.0 1.000 0. 0.009 130928.0046.ec.fits[103] 720.0 1.000 0. 0.009 130928.0046.ec.fits[104] 720.0 1.000 0. 0.009 130928.0046.ec.fits[105] 720.0 1.000 0. 0.009 130928.0046.ec.fits[106] 720.0 1.000 0. 0.009 130928.0046.ec.fits[107] 720.0 1.000 0. 0.009 130928.0046.ec.fits[108] 720.0 1.000 0. 0.009 130928.0046.ec.fits[109] 720.0 1.000 0. 0.009 130928.0046.ec.fits[110] 720.0 1.000 0. 0.009 130928.0046.ec.fits[111] 720.0 1.000 0. 0.009 130928.0046.ec.fits[112] 720.0 1.000 0. 0.009 130928.0046.ec.fits[113] 720.0 1.000 0. 0.009 130928.0046.ec.fits[114] 720.0 1.000 0. 0.009 130928.0046.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0046.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.525, w2 = 10811.69, dw = 0.04391012, nw = 169715., dtype = 0 Dec 9 16:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0047.ec.fits[ 1] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 2] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 3] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 4] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 5] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 6] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 7] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 8] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 9] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 10] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 11] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 12] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 13] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 14] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 15] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 16] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 17] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 18] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 19] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 20] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 21] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 22] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 23] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 24] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 25] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 26] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 27] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 28] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 29] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 30] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 31] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 32] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 33] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 34] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 35] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 36] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 37] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 38] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 39] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 40] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 41] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 42] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 43] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 44] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 45] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 46] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 47] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 48] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 49] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 50] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 51] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 52] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 53] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 54] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 55] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 56] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 57] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 58] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 59] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 60] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 61] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 62] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 63] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 64] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 65] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 66] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 67] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 68] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 69] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 70] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 71] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 72] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 73] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 74] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 75] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 76] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 77] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 78] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 79] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 80] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 81] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 82] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 83] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 84] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 85] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 86] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 87] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 88] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 89] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 90] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 91] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 92] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 93] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 94] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 95] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 96] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 97] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 98] 720.0 1.000 0. 0.009 130928.0047.ec.fits[ 99] 720.0 1.000 0. 0.009 130928.0047.ec.fits[100] 720.0 1.000 0. 0.009 130928.0047.ec.fits[101] 720.0 1.000 0. 0.009 130928.0047.ec.fits[102] 720.0 1.000 0. 0.009 130928.0047.ec.fits[103] 720.0 1.000 0. 0.009 130928.0047.ec.fits[104] 720.0 1.000 0. 0.009 130928.0047.ec.fits[105] 720.0 1.000 0. 0.009 130928.0047.ec.fits[106] 720.0 1.000 0. 0.009 130928.0047.ec.fits[107] 720.0 1.000 0. 0.009 130928.0047.ec.fits[108] 720.0 1.000 0. 0.009 130928.0047.ec.fits[109] 720.0 1.000 0. 0.009 130928.0047.ec.fits[110] 720.0 1.000 0. 0.009 130928.0047.ec.fits[111] 720.0 1.000 0. 0.009 130928.0047.ec.fits[112] 720.0 1.000 0. 0.009 130928.0047.ec.fits[113] 720.0 1.000 0. 0.009 130928.0047.ec.fits[114] 720.0 1.000 0. 0.009 130928.0047.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum130928.0047.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.542, w2 = 10811.69, dw = 0.04390407, nw = 169738., dtype = 0 Dec 9 16:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130928.0048.ec.fits[ 1] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 2] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 3] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 4] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 5] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 6] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 7] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 8] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 9] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 10] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 11] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 12] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 13] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 14] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 15] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 16] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 17] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 18] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 19] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 20] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 21] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 22] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 23] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 24] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 25] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 26] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 27] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 28] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 29] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 30] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 31] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 32] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 33] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 34] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 35] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 36] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 37] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 38] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 39] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 40] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 41] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 42] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 43] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 44] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 45] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 46] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 47] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 48] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 49] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 50] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 51] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 52] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 53] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 54] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 55] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 56] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 57] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 58] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 59] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 60] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 61] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 62] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 63] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 64] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 65] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 66] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 67] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 68] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 69] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 70] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 71] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 72] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 73] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 74] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 75] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 76] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 77] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 78] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 79] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 80] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 81] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 82] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 83] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 84] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 85] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 86] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 87] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 88] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 89] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 90] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 91] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 92] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 93] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 94] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 95] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 96] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 97] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 98] 423.0 1.000 0. 0.009 130928.0048.ec.fits[ 99] 423.0 1.000 0. 0.009 130928.0048.ec.fits[100] 423.0 1.000 0. 0.009 130928.0048.ec.fits[101] 423.0 1.000 0. 0.009 130928.0048.ec.fits[102] 423.0 1.000 0. 0.009 130928.0048.ec.fits[103] 423.0 1.000 0. 0.009 130928.0048.ec.fits[104] 423.0 1.000 0. 0.009 130928.0048.ec.fits[105] 423.0 1.000 0. 0.009 130928.0048.ec.fits[106] 423.0 1.000 0. 0.009 130928.0048.ec.fits[107] 423.0 1.000 0. 0.009 130928.0048.ec.fits[108] 423.0 1.000 0. 0.009 130928.0048.ec.fits[109] 423.0 1.000 0. 0.009 130928.0048.ec.fits[110] 423.0 1.000 0. 0.009 130928.0048.ec.fits[111] 423.0 1.000 0. 0.009 130928.0048.ec.fits[112] 423.0 1.000 0. 0.009 130928.0048.ec.fits[113] 423.0 1.000 0. 0.009 130928.0048.ec.fits[114] 423.0 1.000 0. 0.009 130928.0048.ec.fits[115] 423.0 1.000 0. 0.009 Output image = sum130928.0048.ec.fits, ncombine = 115, exptime = 48640.95 w1 = 3359.557, w2 = 10811.69, dw = 0.04389882, nw = 169758., dtype = 0 Dec 9 16:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0023.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0023.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0023.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.568, w2 = 10811.77, dw = 0.04387672, nw = 169845., dtype = 0 Dec 9 16:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0024.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0024.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0024.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.59, w2 = 10811.78, dw = 0.04387848, nw = 169838., dtype = 0 Dec 9 16:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0025.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0025.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0025.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.612, w2 = 10811.79, dw = 0.04387997, nw = 169832., dtype = 0 Dec 9 16:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0027.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0027.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0027.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.618, w2 = 10811.79, dw = 0.04387038, nw = 169869., dtype = 0 Dec 9 16:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0028.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0028.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0028.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.605, w2 = 10811.78, dw = 0.04385386, nw = 169933., dtype = 0 Dec 9 16:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0029.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0029.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0029.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.593, w2 = 10811.77, dw = 0.04383736, nw = 169997., dtype = 0 Dec 9 16:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0030.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0030.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0030.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.58, w2 = 10811.76, dw = 0.04382113, nw = 170060., dtype = 0 Dec 9 16:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0031.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0031.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0031.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.568, w2 = 10811.74, dw = 0.04380438, nw = 170125., dtype = 0 Dec 9 16:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0033.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0033.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0033.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.57, w2 = 10811.73, dw = 0.04378784, nw = 170189., dtype = 0 Dec 9 16:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0034.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0034.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0034.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.585, w2 = 10811.73, dw = 0.04377821, nw = 170226., dtype = 0 Dec 9 16:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0035.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0035.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0035.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.601, w2 = 10811.73, dw = 0.04376858, nw = 170263., dtype = 0 Dec 9 16:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0036.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0036.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0036.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.617, w2 = 10811.72, dw = 0.04375844, nw = 170302., dtype = 0 Dec 9 16:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0037.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0037.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0037.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.632, w2 = 10811.72, dw = 0.04374881, nw = 170339., dtype = 0 Dec 9 16:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0039.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0039.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0039.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.625, w2 = 10811.71, dw = 0.04376398, nw = 170280., dtype = 0 Dec 9 16:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0040.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0040.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0040.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.597, w2 = 10811.71, dw = 0.04379755, nw = 170150., dtype = 0 Dec 9 16:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0041.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0041.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0041.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.57, w2 = 10811.7, dw = 0.04383143, nw = 170019., dtype = 0 Dec 9 16:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0042.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0042.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0042.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.542, w2 = 10811.7, dw = 0.04386535, nw = 169888., dtype = 0 Dec 9 16:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0043.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0043.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0043.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.515, w2 = 10811.69, dw = 0.04389907, nw = 169758., dtype = 0 Dec 9 16:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0045.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0045.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0045.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.508, w2 = 10811.69, dw = 0.04391643, nw = 169691., dtype = 0 Dec 9 16:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0046.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0046.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0046.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.525, w2 = 10811.69, dw = 0.04391012, nw = 169715., dtype = 0 Dec 9 16:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0047.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[100] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[101] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[102] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[103] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[104] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[105] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[106] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[107] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[108] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[109] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[110] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[111] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[112] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[113] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[114] 720.0 1.000 0. 0.009 fitcont130928.0047.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont130928.0047.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.542, w2 = 10811.69, dw = 0.04390407, nw = 169738., dtype = 0 Dec 9 16:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130928.0048.ec.fits[ 1] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 2] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 3] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 4] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 5] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 6] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 7] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 8] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 9] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 10] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 11] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 12] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 13] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 14] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 15] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 16] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 17] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 18] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 19] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 20] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 21] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 22] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 23] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 24] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 25] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 26] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 27] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 28] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 29] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 30] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 31] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 32] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 33] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 34] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 35] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 36] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 37] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 38] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 39] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 40] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 41] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 42] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 43] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 44] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 45] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 46] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 47] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 48] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 49] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 50] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 51] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 52] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 53] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 54] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 55] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 56] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 57] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 58] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 59] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 60] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 61] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 62] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 63] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 64] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 65] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 66] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 67] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 68] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 69] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 70] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 71] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 72] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 73] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 74] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 75] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 76] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 77] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 78] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 79] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 80] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 81] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 82] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 83] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 84] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 85] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 86] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 87] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 88] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 89] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 90] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 91] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 92] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 93] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 94] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 95] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 96] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 97] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 98] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[ 99] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[100] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[101] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[102] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[103] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[104] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[105] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[106] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[107] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[108] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[109] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[110] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[111] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[112] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[113] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[114] 423.0 1.000 0. 0.009 fitcont130928.0048.ec.fits[115] 423.0 1.000 0. 0.009 Output image = sumfitcont130928.0048.ec.fits, ncombine = 115, exptime = 48640.95 w1 = 3359.557, w2 = 10811.69, dw = 0.04389882, nw = 169758., dtype = 0 82800.02 fullspec130928.0023.ec.fits,EXPTIME: 82800.02 -> 720.000173913 fullspec130928.0023.ec.fits updated 82799.99 fullspec130928.0024.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0024.ec.fits updated 82799.99 fullspec130928.0025.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0025.ec.fits updated 82800.02 fullspec130928.0027.ec.fits,EXPTIME: 82800.02 -> 720.000173913 fullspec130928.0027.ec.fits updated 82799.99 fullspec130928.0028.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0028.ec.fits updated 82799.99 fullspec130928.0029.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0029.ec.fits updated 82799.99 fullspec130928.0030.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0030.ec.fits updated 82799.99 fullspec130928.0031.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0031.ec.fits updated 82799.99 fullspec130928.0033.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0033.ec.fits updated 82799.99 fullspec130928.0034.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0034.ec.fits updated 82800.02 fullspec130928.0035.ec.fits,EXPTIME: 82800.02 -> 720.000173913 fullspec130928.0035.ec.fits updated 82800.02 fullspec130928.0036.ec.fits,EXPTIME: 82800.02 -> 720.000173913 fullspec130928.0036.ec.fits updated 82799.99 fullspec130928.0037.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0037.ec.fits updated 82799.99 fullspec130928.0039.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0039.ec.fits updated 82799.99 fullspec130928.0040.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0040.ec.fits updated 82799.99 fullspec130928.0041.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0041.ec.fits updated 82800.02 fullspec130928.0042.ec.fits,EXPTIME: 82800.02 -> 720.000173913 fullspec130928.0042.ec.fits updated 82800.02 fullspec130928.0043.ec.fits,EXPTIME: 82800.02 -> 720.000173913 fullspec130928.0043.ec.fits updated 82799.99 fullspec130928.0045.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0045.ec.fits updated 82799.99 fullspec130928.0046.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0046.ec.fits updated 82799.99 fullspec130928.0047.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec130928.0047.ec.fits updated 48640.95 fullspec130928.0048.ec.fits,EXPTIME: 48640.95 -> 422.964782609 fullspec130928.0048.ec.fits updated ALL DONE! Yay! (=^.^=)