Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 141024.0022.fits,dispaxis = 1 141024.0022.fits updated add 141024.0023.fits,dispaxis = 1 141024.0023.fits updated add 141024.0024.fits,dispaxis = 1 141024.0024.fits updated add 141024.0026.fits,dispaxis = 1 141024.0026.fits updated add 141024.0027.fits,dispaxis = 1 141024.0027.fits updated add 141024.0028.fits,dispaxis = 1 141024.0028.fits updated add 141024.0030.fits,dispaxis = 1 141024.0030.fits updated add 141024.0031.fits,dispaxis = 1 141024.0031.fits updated add 141024.0033.fits,dispaxis = 1 141024.0033.fits updated add 141024.0035.fits,dispaxis = 1 141024.0035.fits updated add 141024.0036.fits,dispaxis = 1 141024.0036.fits updated add 141024.0037.fits,dispaxis = 1 141024.0037.fits updated add 141024.0039.fits,dispaxis = 1 141024.0039.fits updated add 141024.0040.fits,dispaxis = 1 141024.0040.fits updated add 141024.0041.fits,dispaxis = 1 141024.0041.fits updated add EchelleBias.0001.fits,dispaxis = 1 EchelleBias.0001.fits updated add EchelleBias.0002.fits,dispaxis = 1 EchelleBias.0002.fits updated add EchelleBias.0003.fits,dispaxis = 1 EchelleBias.0003.fits updated add EchelleBias.0004.fits,dispaxis = 1 EchelleBias.0004.fits updated add EchelleBias.0005.fits,dispaxis = 1 EchelleBias.0005.fits updated add EchelleBias.0006.fits,dispaxis = 1 EchelleBias.0006.fits updated add EchelleBias.0007.fits,dispaxis = 1 EchelleBias.0007.fits updated add EchelleBias.0008.fits,dispaxis = 1 EchelleBias.0008.fits updated add EchelleBias.0009.fits,dispaxis = 1 EchelleBias.0009.fits updated add EchelleBias.0010.fits,dispaxis = 1 EchelleBias.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlat.0012.fits,dispaxis = 1 EchelleFlat.0012.fits updated add EchelleFlat.0013.fits,dispaxis = 1 EchelleFlat.0013.fits updated add EchelleFlat.0014.fits,dispaxis = 1 EchelleFlat.0014.fits updated add EchelleFlat.0015.fits,dispaxis = 1 EchelleFlat.0015.fits updated add EchelleFlatBlue.0016.fits,dispaxis = 1 EchelleFlatBlue.0016.fits updated add EchelleFlatBlue.0017.fits,dispaxis = 1 EchelleFlatBlue.0017.fits updated add EchelleFlatBlue.0018.fits,dispaxis = 1 EchelleFlatBlue.0018.fits updated add EchelleFlatBlue.0019.fits,dispaxis = 1 EchelleFlatBlue.0019.fits updated add EchelleFlatBlue.0020.fits,dispaxis = 1 EchelleFlatBlue.0020.fits updated add EchelleThAr.0021.fits,dispaxis = 1 EchelleThAr.0021.fits updated add EchelleThAr.0025.fits,dispaxis = 1 EchelleThAr.0025.fits updated add EchelleThAr.0029.fits,dispaxis = 1 EchelleThAr.0029.fits updated add EchelleThAr.0034.fits,dispaxis = 1 EchelleThAr.0034.fits updated add EchelleThAr.0038.fits,dispaxis = 1 EchelleThAr.0038.fits updated add EchelleThAr.0042.fits,dispaxis = 1 EchelleThAr.0042.fits updated FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl FIXPIX: image EchelleFlat.0012.fits with mask echmask.pl FIXPIX: image EchelleFlat.0013.fits with mask echmask.pl FIXPIX: image EchelleFlat.0014.fits with mask echmask.pl FIXPIX: image EchelleFlat.0015.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0016.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0017.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0018.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0019.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0020.fits with mask echmask.pl FIXPIX: image 141024.0022.fits with mask echmask.pl FIXPIX: image 141024.0023.fits with mask echmask.pl FIXPIX: image 141024.0024.fits with mask echmask.pl FIXPIX: image 141024.0026.fits with mask echmask.pl FIXPIX: image 141024.0027.fits with mask echmask.pl FIXPIX: image 141024.0028.fits with mask echmask.pl FIXPIX: image 141024.0030.fits with mask echmask.pl FIXPIX: image 141024.0031.fits with mask echmask.pl FIXPIX: image 141024.0033.fits with mask echmask.pl FIXPIX: image 141024.0035.fits with mask echmask.pl FIXPIX: image 141024.0036.fits with mask echmask.pl FIXPIX: image 141024.0037.fits with mask echmask.pl FIXPIX: image 141024.0039.fits with mask echmask.pl FIXPIX: image 141024.0040.fits with mask echmask.pl FIXPIX: image 141024.0041.fits with mask echmask.pl FIXPIX: image EchelleThAr.0021.fits with mask echmask.pl FIXPIX: image EchelleThAr.0025.fits with mask echmask.pl FIXPIX: image EchelleThAr.0029.fits with mask echmask.pl FIXPIX: image EchelleThAr.0034.fits with mask echmask.pl FIXPIX: image EchelleThAr.0038.fits with mask echmask.pl FIXPIX: image EchelleThAr.0042.fits with mask echmask.pl Oct 24 11:53: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 1.6 EchelleBias.0002.fits 0.0 EchelleBias.0003.fits 0.4 EchelleBias.0004.fits 0.0 EchelleBias.0005.fits 2.4 EchelleBias.0006.fits 0.0 EchelleBias.0007.fits 0.4 EchelleBias.0008.fits 0.0 EchelleBias.0009.fits 2.4 EchelleBias.0010.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 141024.0022.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] bias_fid: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0022.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0023.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0023.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0024.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0024.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0026.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0026.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0027.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0027.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0028.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0028.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0030.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0030.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0031.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0031.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0033.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0033.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0035.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0035.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0036.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0036.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0037.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0037.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0039.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0039.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0040.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0040.fits: Oct 24 11:53 Zero level correction image is bias_fid 141024.0041.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] 141024.0041.fits: Oct 24 11:53 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleFlat.0012.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleFlat.0013.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleFlat.0014.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlat.0014.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleFlat.0015.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlat.0015.fits: Oct 24 11:53 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0016.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleFlatBlue.0017.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0017.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleFlatBlue.0018.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0018.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleFlatBlue.0019.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0019.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleFlatBlue.0020.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0020.fits: Oct 24 11:53 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0021.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleThAr.0021.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleThAr.0025.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleThAr.0025.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleThAr.0029.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleThAr.0029.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleThAr.0034.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleThAr.0034.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleThAr.0038.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleThAr.0038.fits: Oct 24 11:53 Zero level correction image is bias_fid EchelleThAr.0042.fits: Oct 24 11:53 Trim data section is [200:1850,1:2048] EchelleThAr.0042.fits: Oct 24 11:53 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Oct 24 11:54: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0016.fits 200.0 EchelleFlatBlue.0017.fits 200.0 EchelleFlatBlue.0018.fits 200.0 EchelleFlatBlue.0019.fits 200.0 EchelleFlatBlue.0020.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 5 Oct 24 11:54: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0011.fits 7.0 EchelleFlat.0012.fits 7.0 EchelleFlat.0013.fits 7.0 EchelleFlat.0014.fits 7.0 EchelleFlat.0015.fits 7.0 Output image = flat_red_mean.fits, ncombine = 5 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... Oct 24 11:54: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1637. Oct 24 11:54: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1638. Oct 24 11:54: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 107. Oct 24 11:54: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 106. Oct 24 11:54: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 105. Oct 24 11:54: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1630. Oct 24 11:54: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1631. Oct 24 11:54: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1648. Oct 24 11:54: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1649. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1548. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1549. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1550. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1558. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1559. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1560. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1572. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1573. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1602. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1603. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 145. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 144. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 117. Oct 24 11:54: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 116. Oct 24 11:54: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1619. Oct 24 11:54: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1620. Oct 24 11:54: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 113. Oct 24 11:54: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 112. Oct 24 11:54: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 64. Oct 24 11:54: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 63. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1575. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1576. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1619. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1620. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1635. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1636. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1637. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1638. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1639. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1645. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1646. Oct 24 11:54: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1647. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1461. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1462. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1463. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1522. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1523. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1538. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1539. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1555. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1556. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1557. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1558. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1559. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1584. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1585. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1586. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1587. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1611. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1612. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1630. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1631. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 194. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 193. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 158. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 157. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 153. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 152. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 138. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 137. Oct 24 11:54: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 136. Oct 24 11:54: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1545. Oct 24 11:54: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1546. Oct 24 11:54: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1548. Oct 24 11:54: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1549. Oct 24 11:54: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1550. Oct 24 11:54: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 183. Oct 24 11:54: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 182. Oct 24 11:54: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 181. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1481. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1482. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1564. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1565. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1569. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1570. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1572. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1573. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1574. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1575. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1576. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 217. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 216. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 213. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 212. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 211. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 171. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 170. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 169. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 135. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 134. Oct 24 11:54: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 133. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1409. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1410. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1462. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1463. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1507. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1508. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1538. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1539. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1540. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1562. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1563. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1564. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1565. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1566. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 246. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 245. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 217. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 216. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 174. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 173. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 169. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 168. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 167. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 160. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 159. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 114. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 113. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 79. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 78. Oct 24 11:54: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 77. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1415. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1416. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1417. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1420. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1421. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1422. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1449. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1450. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1451. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1499. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1500. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1505. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1506. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1507. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1508. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1509. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1523. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1524. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1525. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1526. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1527. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1528. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 293. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 292. Oct 24 11:54: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 291. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1345. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1346. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1419. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1420. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1440. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1441. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1442. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1447. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1448. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1449. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 308. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 307. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 266. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 265. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 264. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 229. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 228. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 220. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 219. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 218. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 215. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 214. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 213. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 203. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 202. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 184. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 183. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 179. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 178. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 155. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 154. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 142. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 141. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 129. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 128. Oct 24 11:54: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 127. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1281. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1282. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1347. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1348. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1365. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1366. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1367. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 287. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 286. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 281. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 280. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 279. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 278. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 205. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 204. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 203. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 197. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 196. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 186. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 185. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 184. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 160. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 159. Oct 24 11:54: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 158. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1165. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1166. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1168. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1169. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1175. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1176. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1177. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1307. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1308. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1309. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 305. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 304. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 302. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 301. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 300. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 292. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 291. Oct 24 11:54: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 290. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1134. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1135. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1172. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1173. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1174. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 424. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 423. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 349. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 348. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 347. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 346. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 345. Oct 24 11:54: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 344. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 865. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 866. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 867. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 599. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 598. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 531. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 530. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 529. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 378. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 377. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 376. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 322. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 321. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 317. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 316. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 314. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 313. Oct 24 11:54: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 312. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 10.64 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... EchelleThAr.0021.fits Magnify image EchelleThAr.0021.fits to image EchelleThAr.0021.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0021.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0021.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0025.fits Magnify image EchelleThAr.0025.fits to image EchelleThAr.0025.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 EchelleThAr.0025.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0025.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0029.fits Magnify image EchelleThAr.0029.fits to image EchelleThAr.0029.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 EchelleThAr.0029.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0029.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0034.fits Magnify image EchelleThAr.0034.fits to image EchelleThAr.0034.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 EchelleThAr.0034.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0034.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0038.fits Magnify image EchelleThAr.0038.fits to image EchelleThAr.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 EchelleThAr.0038.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0038.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0042.fits Magnify image EchelleThAr.0042.fits to image EchelleThAr.0042.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 EchelleThAr.0042.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0042.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141024.0022 Magnify image 141024.0022 to image 141024.0022. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141024.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0022 -> noscat141024.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141024.0023 Magnify image 141024.0023 to image 141024.0023. 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 141024.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0023 -> noscat141024.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141024.0024 Magnify image 141024.0024 to image 141024.0024. 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 141024.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0024 -> noscat141024.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 11:56: EXTRACT: WARNING - Aperture 101: Oct 24 11:56: Total variance weighted spectrum flux is 10423.66 Oct 24 11:56: Total unweighted spectrum flux is 4565.642 Oct 24 11:56: EXTRACT: Aperture 101 variance spectrum bias factor is 0.4380077 Oct 24 11:56: EXTRACT: WARNING - Aperture 103: Oct 24 11:56: Total variance weighted spectrum flux is 11465.43 Oct 24 11:56: Total unweighted spectrum flux is 4441.914 Oct 24 11:56: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3874182 Oct 24 11:56: EXTRACT: WARNING - Aperture 104: Oct 24 11:56: Total variance weighted spectrum flux is 10144.98 Oct 24 11:56: Total unweighted spectrum flux is 4537.04 Oct 24 11:56: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4472203 Oct 24 11:56: EXTRACT: WARNING - Aperture 105: Oct 24 11:56: Total variance weighted spectrum flux is 8282.277 Oct 24 11:56: Total unweighted spectrum flux is 1930.033 Oct 24 11:56: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2330317 Oct 24 11:56: EXTRACT: WARNING - Aperture 106: Oct 24 11:56: Total variance weighted spectrum flux is 4817.576 Oct 24 11:56: Total unweighted spectrum flux is 2126.984 Oct 24 11:56: EXTRACT: Aperture 106 variance spectrum bias factor is 0.441505 Oct 24 11:56: EXTRACT: WARNING - Aperture 107: Oct 24 11:56: Total variance weighted spectrum flux is 6434.315 Oct 24 11:56: Total unweighted spectrum flux is 2501.351 Oct 24 11:56: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3887517 Oct 24 11:56: EXTRACT: WARNING - Aperture 108: Oct 24 11:56: Total variance weighted spectrum flux is 6857.054 Oct 24 11:56: Total unweighted spectrum flux is 1132.701 Oct 24 11:56: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1651877 Oct 24 11:56: EXTRACT: WARNING - Aperture 110: Oct 24 11:56: Total variance weighted spectrum flux is 9483.424 Oct 24 11:56: Total unweighted spectrum flux is 3193.827 Oct 24 11:56: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3367799 Oct 24 11:56: EXTRACT: WARNING - Aperture 111: Oct 24 11:56: Total variance weighted spectrum flux is 9865.18 Oct 24 11:56: Total unweighted spectrum flux is 1953.447 Oct 24 11:56: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1980143 Oct 24 11:56: EXTRACT: WARNING - Aperture 112: Oct 24 11:56: Total variance weighted spectrum flux is 6095.855 Oct 24 11:56: Total unweighted spectrum flux is 2003.18 Oct 24 11:56: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3286134 Oct 24 11:56: EXTRACT: WARNING - Aperture 113: Oct 24 11:56: Total variance weighted spectrum flux is 5284.585 Oct 24 11:56: Total unweighted spectrum flux is 950.3993 Oct 24 11:56: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1798437 Oct 24 11:56: EXTRACT: WARNING - Aperture 114: Oct 24 11:56: Total variance weighted spectrum flux is 2069.614 Oct 24 11:56: Total unweighted spectrum flux is 711.5269 Oct 24 11:56: EXTRACT: Aperture 114 variance spectrum bias factor is 0.343797 Resampling the object by a factor of 4 in the y direction... 141024.0026 Magnify image 141024.0026 to image 141024.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141024.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0026 -> noscat141024.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 11:57: EXTRACT: WARNING - Aperture 112: Oct 24 11:57: Total variance weighted spectrum flux is 6065.897 Oct 24 11:57: Total unweighted spectrum flux is 3005.372 Oct 24 11:57: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4954538 Oct 24 11:57: EXTRACT: WARNING - Aperture 114: Oct 24 11:57: Total variance weighted spectrum flux is 1376.628 Oct 24 11:57: Total unweighted spectrum flux is 451.3594 Oct 24 11:57: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3278731 Resampling the object by a factor of 4 in the y direction... 141024.0027 Magnify image 141024.0027 to image 141024.0027. 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 141024.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0027 -> noscat141024.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 11:58: EXTRACT: WARNING - Aperture 105: Oct 24 11:58: Total variance weighted spectrum flux is 18530.61 Oct 24 11:58: Total unweighted spectrum flux is 7769.563 Oct 24 11:58: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4192827 Oct 24 11:58: EXTRACT: WARNING - Aperture 106: Oct 24 11:58: Total variance weighted spectrum flux is 8063.34 Oct 24 11:58: Total unweighted spectrum flux is 1557.872 Oct 24 11:58: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1932043 Oct 24 11:58: EXTRACT: WARNING - Aperture 109: Oct 24 11:58: Total variance weighted spectrum flux is 11396.54 Oct 24 11:58: Total unweighted spectrum flux is 4564.714 Oct 24 11:58: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4005351 Oct 24 11:58: EXTRACT: WARNING - Aperture 110: Oct 24 11:58: Total variance weighted spectrum flux is 3385.264 Oct 24 11:58: Total unweighted spectrum flux is 476.6409 Oct 24 11:58: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1407987 Oct 24 11:58: EXTRACT: WARNING - Aperture 111: Oct 24 11:58: Total variance weighted spectrum flux is 7140.672 Oct 24 11:58: Total unweighted spectrum flux is 2348.822 Oct 24 11:58: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3289357 Oct 24 11:58: EXTRACT: WARNING - Aperture 112: Oct 24 11:58: Total variance weighted spectrum flux is 4289.089 Oct 24 11:58: Total unweighted spectrum flux is 1079.512 Oct 24 11:58: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2516881 Oct 24 11:58: EXTRACT: WARNING - Aperture 114: Oct 24 11:58: Total variance weighted spectrum flux is 4207.409 Oct 24 11:58: Total unweighted spectrum flux is 1751.465 Oct 24 11:58: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4162811 Resampling the object by a factor of 4 in the y direction... 141024.0028 Magnify image 141024.0028 to image 141024.0028. 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 141024.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0028 -> noscat141024.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 11:59: EXTRACT: WARNING - Aperture 105: Oct 24 11:59: Total variance weighted spectrum flux is 14629.35 Oct 24 11:59: Total unweighted spectrum flux is 6633.407 Oct 24 11:59: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4534314 Oct 24 11:59: EXTRACT: WARNING - Aperture 106: Oct 24 11:59: Total variance weighted spectrum flux is 12432.67 Oct 24 11:59: Total unweighted spectrum flux is 5592.462 Oct 24 11:59: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4498198 Oct 24 11:59: EXTRACT: WARNING - Aperture 107: Oct 24 11:59: Total variance weighted spectrum flux is 12367.42 Oct 24 11:59: Total unweighted spectrum flux is 5160.847 Oct 24 11:59: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4172937 Oct 24 11:59: EXTRACT: WARNING - Aperture 108: Oct 24 11:59: Total variance weighted spectrum flux is 13091.74 Oct 24 11:59: Total unweighted spectrum flux is 4727.268 Oct 24 11:59: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3610877 Oct 24 11:59: EXTRACT: WARNING - Aperture 109: Oct 24 11:59: Total variance weighted spectrum flux is 8692.894 Oct 24 11:59: Total unweighted spectrum flux is 3444.906 Oct 24 11:59: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3962899 Oct 24 11:59: EXTRACT: WARNING - Aperture 110: Oct 24 11:59: Total variance weighted spectrum flux is 7699.339 Oct 24 11:59: Total unweighted spectrum flux is 1873.343 Oct 24 11:59: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2433122 Oct 24 11:59: EXTRACT: WARNING - Aperture 111: Oct 24 11:59: Total variance weighted spectrum flux is 3762.837 Oct 24 11:59: Total unweighted spectrum flux is 1818.777 Oct 24 11:59: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4833524 Oct 24 11:59: EXTRACT: WARNING - Aperture 112: Oct 24 11:59: Total variance weighted spectrum flux is 6057.314 Oct 24 11:59: Total unweighted spectrum flux is 1650.524 Oct 24 11:59: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2724845 Oct 24 11:59: EXTRACT: WARNING - Aperture 113: Oct 24 11:59: Total variance weighted spectrum flux is 3318.032 Oct 24 11:59: Total unweighted spectrum flux is 447.9146 Oct 24 11:59: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1349941 Oct 24 11:59: EXTRACT: WARNING - Aperture 114: Oct 24 11:59: Total variance weighted spectrum flux is 2700.314 Oct 24 11:59: Total unweighted spectrum flux is 214.9721 Oct 24 11:59: EXTRACT: Aperture 114 variance spectrum bias factor is 0.07961004 Resampling the object by a factor of 4 in the y direction... 141024.0030 Magnify image 141024.0030 to image 141024.0030. 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 141024.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0030 -> noscat141024.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 11:59: EXTRACT: WARNING - Aperture 114: Oct 24 11:59: Total variance weighted spectrum flux is 5960.045 Oct 24 11:59: Total unweighted spectrum flux is 1935.901 Oct 24 11:59: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3248131 Resampling the object by a factor of 4 in the y direction... 141024.0031 Magnify image 141024.0031 to image 141024.0031. 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 141024.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0031 -> noscat141024.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 12:00: EXTRACT: WARNING - Aperture 97: Oct 24 12:00: Total variance weighted spectrum flux is 6164.715 Oct 24 12:00: Total unweighted spectrum flux is 1534.254 Oct 24 12:00: EXTRACT: Aperture 97 variance spectrum bias factor is 0.2488767 Oct 24 12:00: EXTRACT: WARNING - Aperture 100: Oct 24 12:00: Total variance weighted spectrum flux is 9865.674 Oct 24 12:00: Total unweighted spectrum flux is 4343.024 Oct 24 12:00: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4402157 Oct 24 12:00: EXTRACT: WARNING - Aperture 102: Oct 24 12:00: Total variance weighted spectrum flux is 14968.09 Oct 24 12:00: Total unweighted spectrum flux is 6614.491 Oct 24 12:00: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4419061 Oct 24 12:00: EXTRACT: WARNING - Aperture 103: Oct 24 12:00: Total variance weighted spectrum flux is 13001.61 Oct 24 12:00: Total unweighted spectrum flux is 5957.711 Oct 24 12:00: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4582288 Oct 24 12:00: EXTRACT: WARNING - Aperture 105: Oct 24 12:00: Total variance weighted spectrum flux is 7923.63 Oct 24 12:00: Total unweighted spectrum flux is 2487.543 Oct 24 12:00: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3139399 Oct 24 12:00: EXTRACT: WARNING - Aperture 106: Oct 24 12:00: Total variance weighted spectrum flux is 10513.38 Oct 24 12:00: Total unweighted spectrum flux is 2653.328 Oct 24 12:00: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2523764 Oct 24 12:00: EXTRACT: WARNING - Aperture 107: Oct 24 12:00: Total variance weighted spectrum flux is 5642.09 Oct 24 12:00: Total unweighted spectrum flux is 1792.175 Oct 24 12:00: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3176439 Oct 24 12:00: EXTRACT: WARNING - Aperture 108: Oct 24 12:00: Total variance weighted spectrum flux is 4275.522 Oct 24 12:00: Total unweighted spectrum flux is 1303.928 Oct 24 12:00: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3049751 Oct 24 12:00: EXTRACT: WARNING - Aperture 109: Oct 24 12:00: Total variance weighted spectrum flux is 8914.13 Oct 24 12:00: Total unweighted spectrum flux is 1057.844 Oct 24 12:00: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1186705 Oct 24 12:00: EXTRACT: WARNING - Aperture 110: Oct 24 12:00: Total variance weighted spectrum flux is 7468.138 Oct 24 12:00: Total unweighted spectrum flux is 1019.769 Oct 24 12:00: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1365493 Oct 24 12:00: EXTRACT: WARNING - Aperture 111: Oct 24 12:00: Total variance weighted spectrum flux is 9809.317 Oct 24 12:00: Total unweighted spectrum flux is 229.3151 Oct 24 12:00: EXTRACT: Aperture 111 variance spectrum bias factor is 0.02337728 Oct 24 12:00: EXTRACT: WARNING - Aperture 112: Oct 24 12:00: Total variance weighted spectrum flux is 2728.217 Oct 24 12:00: Total unweighted spectrum flux is 769.2849 Oct 24 12:00: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2819735 Oct 24 12:00: EXTRACT: WARNING - Aperture 113: Oct 24 12:00: Total variance weighted spectrum flux is 3325.991 Oct 24 12:00: Total unweighted spectrum flux is 332.1316 Oct 24 12:00: EXTRACT: Aperture 113 variance spectrum bias factor is 0.09985945 Oct 24 12:00: EXTRACT: WARNING - Aperture 114: Oct 24 12:00: Total variance weighted spectrum flux is 2864.761 Oct 24 12:00: Total unweighted spectrum flux is -741.8561 Oct 24 12:00: Variance spectrum bias factor ignored Oct 24 12:00: EXTRACT: WARNING - Aperture 115: Oct 24 12:00: Total variance weighted spectrum flux is 727.3096 Oct 24 12:00: Total unweighted spectrum flux is 258.9904 Oct 24 12:00: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3560938 Resampling the object by a factor of 4 in the y direction... 141024.0033 Magnify image 141024.0033 to image 141024.0033. 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 141024.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0033 -> noscat141024.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 12:01: EXTRACT: WARNING - Aperture 104: Oct 24 12:01: Total variance weighted spectrum flux is 11981.57 Oct 24 12:01: Total unweighted spectrum flux is 5356.783 Oct 24 12:01: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4470851 Oct 24 12:01: EXTRACT: WARNING - Aperture 105: Oct 24 12:01: Total variance weighted spectrum flux is 7700.909 Oct 24 12:01: Total unweighted spectrum flux is 3313.792 Oct 24 12:01: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4303119 Oct 24 12:01: EXTRACT: WARNING - Aperture 106: Oct 24 12:01: Total variance weighted spectrum flux is 7438.007 Oct 24 12:01: Total unweighted spectrum flux is -273.6618 Oct 24 12:01: Variance spectrum bias factor ignored Oct 24 12:01: EXTRACT: WARNING - Aperture 107: Oct 24 12:01: Total variance weighted spectrum flux is 5321.832 Oct 24 12:01: Total unweighted spectrum flux is 1868.825 Oct 24 12:01: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3511619 Oct 24 12:01: EXTRACT: WARNING - Aperture 108: Oct 24 12:01: Total variance weighted spectrum flux is 3808.003 Oct 24 12:01: Total unweighted spectrum flux is 1191.716 Oct 24 12:01: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3129505 Oct 24 12:01: EXTRACT: WARNING - Aperture 109: Oct 24 12:01: Total variance weighted spectrum flux is 7247.972 Oct 24 12:01: Total unweighted spectrum flux is 314.9214 Oct 24 12:01: EXTRACT: Aperture 109 variance spectrum bias factor is 0.0434496 Oct 24 12:01: EXTRACT: WARNING - Aperture 110: Oct 24 12:01: Total variance weighted spectrum flux is 3314.565 Oct 24 12:01: Total unweighted spectrum flux is 807.795 Oct 24 12:01: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2437107 Oct 24 12:01: EXTRACT: WARNING - Aperture 111: Oct 24 12:01: Total variance weighted spectrum flux is 4389.395 Oct 24 12:01: Total unweighted spectrum flux is 623.4268 Oct 24 12:01: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1420302 Oct 24 12:01: EXTRACT: WARNING - Aperture 112: Oct 24 12:01: Total variance weighted spectrum flux is 2808.855 Oct 24 12:01: Total unweighted spectrum flux is -1018.134 Oct 24 12:01: Variance spectrum bias factor ignored Oct 24 12:01: EXTRACT: WARNING - Aperture 113: Oct 24 12:01: Total variance weighted spectrum flux is 3221.657 Oct 24 12:01: Total unweighted spectrum flux is 463.1034 Oct 24 12:01: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1437469 Oct 24 12:01: EXTRACT: WARNING - Aperture 114: Oct 24 12:01: Total variance weighted spectrum flux is 753.6957 Oct 24 12:01: Total unweighted spectrum flux is -365.5552 Oct 24 12:01: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141024.0035 Magnify image 141024.0035 to image 141024.0035. 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 141024.0035,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0035 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0035 -> noscat141024.0035 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 12:02: EXTRACT: WARNING - Aperture 110: Oct 24 12:02: Total variance weighted spectrum flux is 5720.72 Oct 24 12:02: Total unweighted spectrum flux is 1611.172 Oct 24 12:02: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2816379 Oct 24 12:02: EXTRACT: WARNING - Aperture 112: Oct 24 12:02: Total variance weighted spectrum flux is 13105.7 Oct 24 12:02: Total unweighted spectrum flux is 5803.881 Oct 24 12:02: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4428515 Oct 24 12:02: EXTRACT: WARNING - Aperture 113: Oct 24 12:02: Total variance weighted spectrum flux is 5693.218 Oct 24 12:02: Total unweighted spectrum flux is 1039.376 Oct 24 12:02: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1825639 Resampling the object by a factor of 4 in the y direction... 141024.0036 Magnify image 141024.0036 to image 141024.0036. 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 141024.0036,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0036 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0036 -> noscat141024.0036 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 12:02: EXTRACT: WARNING - Aperture 91: Oct 24 12:02: Total variance weighted spectrum flux is 7241.835 Oct 24 12:02: Total unweighted spectrum flux is 3506.757 Oct 24 12:02: EXTRACT: Aperture 91 variance spectrum bias factor is 0.4842359 Oct 24 12:02: EXTRACT: WARNING - Aperture 94: Oct 24 12:02: Total variance weighted spectrum flux is 13856.89 Oct 24 12:02: Total unweighted spectrum flux is 6474.12 Oct 24 12:02: EXTRACT: Aperture 94 variance spectrum bias factor is 0.4672131 Oct 24 12:02: EXTRACT: WARNING - Aperture 95: Oct 24 12:02: Total variance weighted spectrum flux is 3964.637 Oct 24 12:02: Total unweighted spectrum flux is 687.9019 Oct 24 12:02: EXTRACT: Aperture 95 variance spectrum bias factor is 0.1735094 Oct 24 12:02: EXTRACT: WARNING - Aperture 96: Oct 24 12:02: Total variance weighted spectrum flux is 6806.481 Oct 24 12:02: Total unweighted spectrum flux is 3233.375 Oct 24 12:02: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4750437 Oct 24 12:02: EXTRACT: WARNING - Aperture 97: Oct 24 12:02: Total variance weighted spectrum flux is 9617.247 Oct 24 12:02: Total unweighted spectrum flux is 3149.697 Oct 24 12:02: EXTRACT: Aperture 97 variance spectrum bias factor is 0.327505 Oct 24 12:02: EXTRACT: WARNING - Aperture 98: Oct 24 12:02: Total variance weighted spectrum flux is 5504.222 Oct 24 12:02: Total unweighted spectrum flux is 1209.831 Oct 24 12:02: EXTRACT: Aperture 98 variance spectrum bias factor is 0.2198005 Oct 24 12:02: EXTRACT: WARNING - Aperture 99: Oct 24 12:02: Total variance weighted spectrum flux is 7440.288 Oct 24 12:02: Total unweighted spectrum flux is 1697.029 Oct 24 12:02: EXTRACT: Aperture 99 variance spectrum bias factor is 0.2280865 Oct 24 12:02: EXTRACT: WARNING - Aperture 100: Oct 24 12:02: Total variance weighted spectrum flux is 9922.912 Oct 24 12:02: Total unweighted spectrum flux is -37.24721 Oct 24 12:02: Variance spectrum bias factor ignored Oct 24 12:02: EXTRACT: WARNING - Aperture 101: Oct 24 12:02: Total variance weighted spectrum flux is 6408.05 Oct 24 12:02: Total unweighted spectrum flux is 1974.119 Oct 24 12:02: EXTRACT: Aperture 101 variance spectrum bias factor is 0.3080686 Oct 24 12:02: EXTRACT: WARNING - Aperture 102: Oct 24 12:02: Total variance weighted spectrum flux is 5305.424 Oct 24 12:02: Total unweighted spectrum flux is 636.2977 Oct 24 12:02: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1199334 Oct 24 12:02: EXTRACT: WARNING - Aperture 103: Oct 24 12:02: Total variance weighted spectrum flux is 4126.55 Oct 24 12:02: Total unweighted spectrum flux is 1143.107 Oct 24 12:02: EXTRACT: Aperture 103 variance spectrum bias factor is 0.2770129 Oct 24 12:02: EXTRACT: WARNING - Aperture 104: Oct 24 12:02: Total variance weighted spectrum flux is 5046.075 Oct 24 12:02: Total unweighted spectrum flux is 41.40373 Oct 24 12:02: EXTRACT: Aperture 104 variance spectrum bias factor is 0.008205136 Oct 24 12:03: EXTRACT: WARNING - Aperture 105: Oct 24 12:03: Total variance weighted spectrum flux is 5365.15 Oct 24 12:03: Total unweighted spectrum flux is 22.74435 Oct 24 12:03: EXTRACT: Aperture 105 variance spectrum bias factor is 0.004239275 Oct 24 12:03: EXTRACT: WARNING - Aperture 106: Oct 24 12:03: Total variance weighted spectrum flux is 7243.524 Oct 24 12:03: Total unweighted spectrum flux is -92.06857 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 107: Oct 24 12:03: Total variance weighted spectrum flux is 2579.396 Oct 24 12:03: Total unweighted spectrum flux is -688.0594 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 108: Oct 24 12:03: Total variance weighted spectrum flux is 7166.947 Oct 24 12:03: Total unweighted spectrum flux is -828.3351 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 109: Oct 24 12:03: Total variance weighted spectrum flux is 7463.038 Oct 24 12:03: Total unweighted spectrum flux is 1595.213 Oct 24 12:03: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2137485 Oct 24 12:03: EXTRACT: WARNING - Aperture 110: Oct 24 12:03: Total variance weighted spectrum flux is 5418.12 Oct 24 12:03: Total unweighted spectrum flux is -1524.987 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 111: Oct 24 12:03: Total variance weighted spectrum flux is 8212.202 Oct 24 12:03: Total unweighted spectrum flux is -376.8102 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 112: Oct 24 12:03: Total variance weighted spectrum flux is 2649.981 Oct 24 12:03: Total unweighted spectrum flux is 972.7785 Oct 24 12:03: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3670888 Oct 24 12:03: EXTRACT: WARNING - Aperture 113: Oct 24 12:03: Total variance weighted spectrum flux is 7964.549 Oct 24 12:03: Total unweighted spectrum flux is 919.0656 Oct 24 12:03: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1153945 Oct 24 12:03: EXTRACT: WARNING - Aperture 114: Oct 24 12:03: Total variance weighted spectrum flux is 287.6476 Oct 24 12:03: Total unweighted spectrum flux is -1200.33 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 115: Oct 24 12:03: Total variance weighted spectrum flux is 1429.277 Oct 24 12:03: Total unweighted spectrum flux is 627.0273 Oct 24 12:03: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4387026 Resampling the object by a factor of 4 in the y direction... 141024.0037 Magnify image 141024.0037 to image 141024.0037. 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 141024.0037,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0037 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0037 -> noscat141024.0037 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 12:03: EXTRACT: WARNING - Aperture 105: Oct 24 12:03: Total variance weighted spectrum flux is 6616.776 Oct 24 12:03: Total unweighted spectrum flux is 2276.178 Oct 24 12:03: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3440011 Oct 24 12:03: EXTRACT: WARNING - Aperture 106: Oct 24 12:03: Total variance weighted spectrum flux is 6339.248 Oct 24 12:03: Total unweighted spectrum flux is 1924.241 Oct 24 12:03: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3035441 Oct 24 12:03: EXTRACT: WARNING - Aperture 107: Oct 24 12:03: Total variance weighted spectrum flux is 11483.56 Oct 24 12:03: Total unweighted spectrum flux is 2282.52 Oct 24 12:03: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1987642 Oct 24 12:03: EXTRACT: WARNING - Aperture 108: Oct 24 12:03: Total variance weighted spectrum flux is 8518.497 Oct 24 12:03: Total unweighted spectrum flux is 239.2926 Oct 24 12:03: EXTRACT: Aperture 108 variance spectrum bias factor is 0.02809094 Oct 24 12:03: EXTRACT: WARNING - Aperture 109: Oct 24 12:03: Total variance weighted spectrum flux is 8977.755 Oct 24 12:03: Total unweighted spectrum flux is 2883.821 Oct 24 12:03: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3212185 Oct 24 12:03: EXTRACT: WARNING - Aperture 110: Oct 24 12:03: Total variance weighted spectrum flux is 7210.36 Oct 24 12:03: Total unweighted spectrum flux is 1660.087 Oct 24 12:03: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2302364 Oct 24 12:03: EXTRACT: WARNING - Aperture 111: Oct 24 12:03: Total variance weighted spectrum flux is 3301.566 Oct 24 12:03: Total unweighted spectrum flux is -308.965 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 112: Oct 24 12:03: Total variance weighted spectrum flux is 7840.315 Oct 24 12:03: Total unweighted spectrum flux is -580.713 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 113: Oct 24 12:03: Total variance weighted spectrum flux is 3009.065 Oct 24 12:03: Total unweighted spectrum flux is -137.7893 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 114: Oct 24 12:03: Total variance weighted spectrum flux is 612.1818 Oct 24 12:03: Total unweighted spectrum flux is -663.5568 Oct 24 12:03: Variance spectrum bias factor ignored Oct 24 12:03: EXTRACT: WARNING - Aperture 115: Oct 24 12:03: Total variance weighted spectrum flux is 737.3208 Oct 24 12:03: Total unweighted spectrum flux is 4.090796 Oct 24 12:03: EXTRACT: Aperture 115 variance spectrum bias factor is 0.005548189 Resampling the object by a factor of 4 in the y direction... 141024.0039 Magnify image 141024.0039 to image 141024.0039. 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 141024.0039,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0039 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0039 -> noscat141024.0039 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 12:04: EXTRACT: WARNING - Aperture 102: Oct 24 12:04: Total variance weighted spectrum flux is 9041.023 Oct 24 12:04: Total unweighted spectrum flux is 2750.424 Oct 24 12:04: EXTRACT: Aperture 102 variance spectrum bias factor is 0.304216 Oct 24 12:04: EXTRACT: WARNING - Aperture 103: Oct 24 12:04: Total variance weighted spectrum flux is 9261.635 Oct 24 12:04: Total unweighted spectrum flux is 4150.801 Oct 24 12:04: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4481716 Oct 24 12:04: EXTRACT: WARNING - Aperture 104: Oct 24 12:04: Total variance weighted spectrum flux is 8456.734 Oct 24 12:04: Total unweighted spectrum flux is 2567.668 Oct 24 12:04: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3036241 Oct 24 12:04: EXTRACT: WARNING - Aperture 105: Oct 24 12:04: Total variance weighted spectrum flux is 4502.132 Oct 24 12:04: Total unweighted spectrum flux is 588.0876 Oct 24 12:04: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1306242 Oct 24 12:04: EXTRACT: WARNING - Aperture 106: Oct 24 12:04: Total variance weighted spectrum flux is 6691.68 Oct 24 12:04: Total unweighted spectrum flux is 2276.317 Oct 24 12:04: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3401713 Oct 24 12:04: EXTRACT: WARNING - Aperture 107: Oct 24 12:04: Total variance weighted spectrum flux is 4189.005 Oct 24 12:04: Total unweighted spectrum flux is -279.6389 Oct 24 12:04: Variance spectrum bias factor ignored Oct 24 12:04: EXTRACT: WARNING - Aperture 108: Oct 24 12:04: Total variance weighted spectrum flux is 6016.648 Oct 24 12:04: Total unweighted spectrum flux is -215.3094 Oct 24 12:04: Variance spectrum bias factor ignored Oct 24 12:04: EXTRACT: WARNING - Aperture 109: Oct 24 12:04: Total variance weighted spectrum flux is 5220.052 Oct 24 12:04: Total unweighted spectrum flux is 1108.356 Oct 24 12:04: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2123266 Oct 24 12:04: EXTRACT: WARNING - Aperture 110: Oct 24 12:04: Total variance weighted spectrum flux is 9889.07 Oct 24 12:04: Total unweighted spectrum flux is 1947.483 Oct 24 12:04: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1969329 Oct 24 12:04: EXTRACT: WARNING - Aperture 111: Oct 24 12:04: Total variance weighted spectrum flux is 6334.228 Oct 24 12:04: Total unweighted spectrum flux is -924.1852 Oct 24 12:04: Variance spectrum bias factor ignored Oct 24 12:04: EXTRACT: WARNING - Aperture 112: Oct 24 12:04: Total variance weighted spectrum flux is 3031.821 Oct 24 12:04: Total unweighted spectrum flux is -70.55042 Oct 24 12:04: Variance spectrum bias factor ignored Oct 24 12:04: EXTRACT: WARNING - Aperture 113: Oct 24 12:04: Total variance weighted spectrum flux is 6284.382 Oct 24 12:04: Total unweighted spectrum flux is 1330.069 Oct 24 12:04: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2116468 Oct 24 12:04: EXTRACT: WARNING - Aperture 114: Oct 24 12:04: Total variance weighted spectrum flux is 5434.907 Oct 24 12:04: Total unweighted spectrum flux is 602.6249 Oct 24 12:04: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1108805 Oct 24 12:04: EXTRACT: WARNING - Aperture 115: Oct 24 12:04: Total variance weighted spectrum flux is 2369.429 Oct 24 12:04: Total unweighted spectrum flux is 947.9183 Oct 24 12:04: EXTRACT: Aperture 115 variance spectrum bias factor is 0.400062 Resampling the object by a factor of 4 in the y direction... 141024.0040 Magnify image 141024.0040 to image 141024.0040. 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 141024.0040,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0040 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0040 -> noscat141024.0040 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 12:05: EXTRACT: WARNING - Aperture 95: Oct 24 12:05: Total variance weighted spectrum flux is 3006.736 Oct 24 12:05: Total unweighted spectrum flux is 72.963 Oct 24 12:05: EXTRACT: Aperture 95 variance spectrum bias factor is 0.02426652 Oct 24 12:05: EXTRACT: WARNING - Aperture 96: Oct 24 12:05: Total variance weighted spectrum flux is 7572.299 Oct 24 12:05: Total unweighted spectrum flux is 3712.677 Oct 24 12:05: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4902973 Oct 24 12:05: EXTRACT: WARNING - Aperture 97: Oct 24 12:05: Total variance weighted spectrum flux is 9928.882 Oct 24 12:05: Total unweighted spectrum flux is 4928.056 Oct 24 12:05: EXTRACT: Aperture 97 variance spectrum bias factor is 0.4963354 Oct 24 12:05: EXTRACT: WARNING - Aperture 98: Oct 24 12:05: Total variance weighted spectrum flux is 6891.694 Oct 24 12:05: Total unweighted spectrum flux is 3422.877 Oct 24 12:05: EXTRACT: Aperture 98 variance spectrum bias factor is 0.4966671 Oct 24 12:05: EXTRACT: WARNING - Aperture 99: Oct 24 12:05: Total variance weighted spectrum flux is 8425.839 Oct 24 12:05: Total unweighted spectrum flux is 2709.319 Oct 24 12:05: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3215489 Oct 24 12:05: EXTRACT: WARNING - Aperture 100: Oct 24 12:05: Total variance weighted spectrum flux is 3802.809 Oct 24 12:05: Total unweighted spectrum flux is 1006.117 Oct 24 12:05: EXTRACT: Aperture 100 variance spectrum bias factor is 0.2645721 Oct 24 12:05: EXTRACT: WARNING - Aperture 101: Oct 24 12:05: Total variance weighted spectrum flux is 8973.183 Oct 24 12:05: Total unweighted spectrum flux is 2919.078 Oct 24 12:05: EXTRACT: Aperture 101 variance spectrum bias factor is 0.3253113 Oct 24 12:05: EXTRACT: WARNING - Aperture 102: Oct 24 12:05: Total variance weighted spectrum flux is 12521.5 Oct 24 12:05: Total unweighted spectrum flux is 2500.636 Oct 24 12:05: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1997074 Oct 24 12:05: EXTRACT: WARNING - Aperture 103: Oct 24 12:05: Total variance weighted spectrum flux is 7754.268 Oct 24 12:05: Total unweighted spectrum flux is 1018.569 Oct 24 12:05: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1313559 Oct 24 12:05: EXTRACT: WARNING - Aperture 104: Oct 24 12:05: Total variance weighted spectrum flux is 10720.43 Oct 24 12:05: Total unweighted spectrum flux is 3886.781 Oct 24 12:05: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3625582 Oct 24 12:05: EXTRACT: WARNING - Aperture 105: Oct 24 12:05: Total variance weighted spectrum flux is 3973.374 Oct 24 12:05: Total unweighted spectrum flux is 961.1768 Oct 24 12:05: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2419045 Oct 24 12:05: EXTRACT: WARNING - Aperture 106: Oct 24 12:05: Total variance weighted spectrum flux is 8938.607 Oct 24 12:05: Total unweighted spectrum flux is 777.482 Oct 24 12:05: EXTRACT: Aperture 106 variance spectrum bias factor is 0.08698022 Oct 24 12:05: EXTRACT: WARNING - Aperture 107: Oct 24 12:05: Total variance weighted spectrum flux is 4586.323 Oct 24 12:05: Total unweighted spectrum flux is 342.0308 Oct 24 12:05: EXTRACT: Aperture 107 variance spectrum bias factor is 0.07457626 Oct 24 12:05: EXTRACT: WARNING - Aperture 108: Oct 24 12:05: Total variance weighted spectrum flux is 7740.463 Oct 24 12:05: Total unweighted spectrum flux is 2285.889 Oct 24 12:05: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2953169 Oct 24 12:05: EXTRACT: WARNING - Aperture 109: Oct 24 12:05: Total variance weighted spectrum flux is 5063.164 Oct 24 12:05: Total unweighted spectrum flux is 395.017 Oct 24 12:05: EXTRACT: Aperture 109 variance spectrum bias factor is 0.07801782 Oct 24 12:05: EXTRACT: WARNING - Aperture 110: Oct 24 12:05: Total variance weighted spectrum flux is 6141.321 Oct 24 12:05: Total unweighted spectrum flux is -39.70187 Oct 24 12:05: Variance spectrum bias factor ignored Oct 24 12:05: EXTRACT: WARNING - Aperture 111: Oct 24 12:05: Total variance weighted spectrum flux is 5021.35 Oct 24 12:05: Total unweighted spectrum flux is -30.10698 Oct 24 12:05: Variance spectrum bias factor ignored Oct 24 12:05: EXTRACT: WARNING - Aperture 112: Oct 24 12:05: Total variance weighted spectrum flux is 2761.148 Oct 24 12:05: Total unweighted spectrum flux is 636.0236 Oct 24 12:05: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2303475 Oct 24 12:05: EXTRACT: WARNING - Aperture 113: Oct 24 12:05: Total variance weighted spectrum flux is 4064.301 Oct 24 12:05: Total unweighted spectrum flux is -2225.815 Oct 24 12:05: Variance spectrum bias factor ignored Oct 24 12:05: EXTRACT: WARNING - Aperture 114: Oct 24 12:05: Total variance weighted spectrum flux is 4089.986 Oct 24 12:05: Total unweighted spectrum flux is 934.3304 Oct 24 12:05: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2284434 Oct 24 12:05: EXTRACT: WARNING - Aperture 115: Oct 24 12:05: Total variance weighted spectrum flux is 1186.532 Oct 24 12:05: Total unweighted spectrum flux is 424.8126 Oct 24 12:05: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3580288 Resampling the object by a factor of 4 in the y direction... 141024.0041 Magnify image 141024.0041 to image 141024.0041. 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 141024.0041,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141024.0041 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141024.0041 -> noscat141024.0041 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 24 12:05: EXTRACT: WARNING - Aperture 1: Oct 24 12:05: Total variance weighted spectrum flux is 4503.464 Oct 24 12:05: Total unweighted spectrum flux is 1309.055 Oct 24 12:05: EXTRACT: Aperture 1 variance spectrum bias factor is 0.2906772 Oct 24 12:05: EXTRACT: WARNING - Aperture 2: Oct 24 12:05: Total variance weighted spectrum flux is 3548.876 Oct 24 12:05: Total unweighted spectrum flux is 1668.65 Oct 24 12:05: EXTRACT: Aperture 2 variance spectrum bias factor is 0.4701912 Oct 24 12:05: EXTRACT: WARNING - Aperture 86: Oct 24 12:05: Total variance weighted spectrum flux is 4589.623 Oct 24 12:05: Total unweighted spectrum flux is 2022.045 Oct 24 12:05: EXTRACT: Aperture 86 variance spectrum bias factor is 0.4405689 Oct 24 12:06: EXTRACT: WARNING - Aperture 87: Oct 24 12:06: Total variance weighted spectrum flux is 3130.974 Oct 24 12:06: Total unweighted spectrum flux is 358.0906 Oct 24 12:06: EXTRACT: Aperture 87 variance spectrum bias factor is 0.1143703 Oct 24 12:06: EXTRACT: WARNING - Aperture 88: Oct 24 12:06: Total variance weighted spectrum flux is 6913.324 Oct 24 12:06: Total unweighted spectrum flux is 3002.885 Oct 24 12:06: EXTRACT: Aperture 88 variance spectrum bias factor is 0.4343619 Oct 24 12:06: EXTRACT: WARNING - Aperture 89: Oct 24 12:06: Total variance weighted spectrum flux is 5836.009 Oct 24 12:06: Total unweighted spectrum flux is 1565.961 Oct 24 12:06: EXTRACT: Aperture 89 variance spectrum bias factor is 0.2683274 Oct 24 12:06: EXTRACT: WARNING - Aperture 90: Oct 24 12:06: Total variance weighted spectrum flux is 7435.663 Oct 24 12:06: Total unweighted spectrum flux is 1844.233 Oct 24 12:06: EXTRACT: Aperture 90 variance spectrum bias factor is 0.2480253 Oct 24 12:06: EXTRACT: WARNING - Aperture 91: Oct 24 12:06: Total variance weighted spectrum flux is 7666.268 Oct 24 12:06: Total unweighted spectrum flux is -1195.09 Oct 24 12:06: Variance spectrum bias factor ignored Oct 24 12:06: EXTRACT: WARNING - Aperture 92: Oct 24 12:06: Total variance weighted spectrum flux is 4918.263 Oct 24 12:06: Total unweighted spectrum flux is 356.1437 Oct 24 12:06: EXTRACT: Aperture 92 variance spectrum bias factor is 0.0724125 Oct 24 12:06: EXTRACT: WARNING - Aperture 93: Oct 24 12:06: Total variance weighted spectrum flux is 7788.012 Oct 24 12:06: Total unweighted spectrum flux is 1658.874 Oct 24 12:06: EXTRACT: Aperture 93 variance spectrum bias factor is 0.2130036 Oct 24 12:06: EXTRACT: WARNING - Aperture 94: Oct 24 12:06: Total variance weighted spectrum flux is 6591.121 Oct 24 12:06: Total unweighted spectrum flux is 272.3211 Oct 24 12:06: EXTRACT: Aperture 94 variance spectrum bias factor is 0.04131635 Oct 24 12:06: EXTRACT: WARNING - Aperture 95: Oct 24 12:06: Total variance weighted spectrum flux is 7074.514 Oct 24 12:06: Total unweighted spectrum flux is 1795.232 Oct 24 12:06: EXTRACT: Aperture 95 variance spectrum bias factor is 0.2537605 Oct 24 12:06: EXTRACT: WARNING - Aperture 96: Oct 24 12:06: Total variance weighted spectrum flux is 5762.797 Oct 24 12:06: Total unweighted spectrum flux is 1304.766 Oct 24 12:06: EXTRACT: Aperture 96 variance spectrum bias factor is 0.226412 Oct 24 12:06: EXTRACT: WARNING - Aperture 97: Oct 24 12:06: Total variance weighted spectrum flux is 5742.547 Oct 24 12:06: Total unweighted spectrum flux is 606.6742 Oct 24 12:06: EXTRACT: Aperture 97 variance spectrum bias factor is 0.1056455 Oct 24 12:06: EXTRACT: WARNING - Aperture 98: Oct 24 12:06: Total variance weighted spectrum flux is 3543.681 Oct 24 12:06: Total unweighted spectrum flux is 507.3268 Oct 24 12:06: EXTRACT: Aperture 98 variance spectrum bias factor is 0.1431638 Oct 24 12:06: EXTRACT: WARNING - Aperture 99: Oct 24 12:06: Total variance weighted spectrum flux is 3235.075 Oct 24 12:06: Total unweighted spectrum flux is -189.2372 Oct 24 12:06: Variance spectrum bias factor ignored Oct 24 12:06: EXTRACT: WARNING - Aperture 100: Oct 24 12:06: Total variance weighted spectrum flux is 3418.909 Oct 24 12:06: Total unweighted spectrum flux is -45.9173 Oct 24 12:06: Variance spectrum bias factor ignored Oct 24 12:06: EXTRACT: WARNING - Aperture 101: Oct 24 12:06: Total variance weighted spectrum flux is 5425.329 Oct 24 12:06: Total unweighted spectrum flux is 1025.524 Oct 24 12:06: EXTRACT: Aperture 101 variance spectrum bias factor is 0.1890252 Oct 24 12:06: EXTRACT: WARNING - Aperture 102: Oct 24 12:06: Total variance weighted spectrum flux is 8481.195 Oct 24 12:06: Total unweighted spectrum flux is -689.84 Oct 24 12:06: Variance spectrum bias factor ignored Oct 24 12:06: EXTRACT: WARNING - Aperture 103: Oct 24 12:06: Total variance weighted spectrum flux is 7114.123 Oct 24 12:06: Total unweighted spectrum flux is -50.07664 Oct 24 12:06: Variance spectrum bias factor ignored Oct 24 12:06: EXTRACT: WARNING - Aperture 104: Oct 24 12:06: Total variance weighted spectrum flux is 2963.803 Oct 24 12:06: Total unweighted spectrum flux is -1049.462 Oct 24 12:06: Variance spectrum bias factor ignored Oct 24 12:06: EXTRACT: WARNING - Aperture 105: Oct 24 12:06: Total variance weighted spectrum flux is 8688.003 Oct 24 12:06: Total unweighted spectrum flux is 221.4927 Oct 24 12:06: EXTRACT: Aperture 105 variance spectrum bias factor is 0.02549409 Oct 24 12:06: EXTRACT: WARNING - Aperture 106: Oct 24 12:06: Total variance weighted spectrum flux is 8036.559 Oct 24 12:06: Total unweighted spectrum flux is 34.32843 Oct 24 12:06: EXTRACT: Aperture 106 variance spectrum bias factor is 0.004271533 Oct 24 12:06: EXTRACT: WARNING - Aperture 107: Oct 24 12:06: Total variance weighted spectrum flux is 4356.029 Oct 24 12:06: Total unweighted spectrum flux is 33.10405 Oct 24 12:06: EXTRACT: Aperture 107 variance spectrum bias factor is 0.007599592 Oct 24 12:06: EXTRACT: WARNING - Aperture 108: Oct 24 12:06: Total variance weighted spectrum flux is 7957.49 Oct 24 12:06: Total unweighted spectrum flux is 530.8999 Oct 24 12:06: EXTRACT: Aperture 108 variance spectrum bias factor is 0.06671701 Oct 24 12:06: EXTRACT: WARNING - Aperture 109: Oct 24 12:06: Total variance weighted spectrum flux is 2949.64 Oct 24 12:06: Total unweighted spectrum flux is -141.3826 Oct 24 12:06: Variance spectrum bias factor ignored Oct 24 12:06: EXTRACT: WARNING - Aperture 110: Oct 24 12:06: Total variance weighted spectrum flux is 6085.788 Oct 24 12:06: Total unweighted spectrum flux is 71.35831 Oct 24 12:06: EXTRACT: Aperture 110 variance spectrum bias factor is 0.0117254 Oct 24 12:06: EXTRACT: WARNING - Aperture 111: Oct 24 12:06: Total variance weighted spectrum flux is 2291.075 Oct 24 12:06: Total unweighted spectrum flux is 104.8807 Oct 24 12:06: EXTRACT: Aperture 111 variance spectrum bias factor is 0.04577794 Oct 24 12:06: EXTRACT: WARNING - Aperture 112: Oct 24 12:06: Total variance weighted spectrum flux is 6188.41 Oct 24 12:06: Total unweighted spectrum flux is 90.8158 Oct 24 12:06: EXTRACT: Aperture 112 variance spectrum bias factor is 0.01467514 Oct 24 12:06: EXTRACT: WARNING - Aperture 113: Oct 24 12:06: Total variance weighted spectrum flux is 1095.926 Oct 24 12:06: Total unweighted spectrum flux is -877.3414 Oct 24 12:06: Variance spectrum bias factor ignored Oct 24 12:06: EXTRACT: WARNING - Aperture 114: Oct 24 12:06: Total variance weighted spectrum flux is 2824.591 Oct 24 12:06: Total unweighted spectrum flux is -937.5356 Oct 24 12:06: Variance spectrum bias factor ignored Oct 24 12:06: EXTRACT: WARNING - Aperture 115: Oct 24 12:06: Total variance weighted spectrum flux is 2383.067 Oct 24 12:06: Total unweighted spectrum flux is 941.0705 Oct 24 12:06: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3948989 add EchelleThAr.0021.ec.fits,REFSPEC1 = EchelleThAr.0021.ec.fits EchelleThAr.0021.ec.fits updated add EchelleThAr.0025.ec.fits,REFSPEC1 = EchelleThAr.0025.ec.fits EchelleThAr.0025.ec.fits updated add EchelleThAr.0029.ec.fits,REFSPEC1 = EchelleThAr.0029.ec.fits EchelleThAr.0029.ec.fits updated add EchelleThAr.0034.ec.fits,REFSPEC1 = EchelleThAr.0034.ec.fits EchelleThAr.0034.ec.fits updated add EchelleThAr.0038.ec.fits,REFSPEC1 = EchelleThAr.0038.ec.fits EchelleThAr.0038.ec.fits updated add EchelleThAr.0042.ec.fits,REFSPEC1 = EchelleThAr.0042.ec.fits EchelleThAr.0042.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0021.ec.fits,UTMIDDLE = 0 EchelleThAr.0021.ec.fits updated EchelleThAr.0021.ec.fits,UTMIDDLE: 0 -> 00:39:41.540779 EchelleThAr.0021.ec.fits updated add EchelleThAr.0025.ec.fits,UTMIDDLE = 0 EchelleThAr.0025.ec.fits updated EchelleThAr.0025.ec.fits,UTMIDDLE: 0 -> 01:49:50.954788 EchelleThAr.0025.ec.fits updated add EchelleThAr.0029.ec.fits,UTMIDDLE = 0 EchelleThAr.0029.ec.fits updated EchelleThAr.0029.ec.fits,UTMIDDLE: 0 -> 03:04:03.265219 EchelleThAr.0029.ec.fits updated add EchelleThAr.0034.ec.fits,UTMIDDLE = 0 EchelleThAr.0034.ec.fits updated EchelleThAr.0034.ec.fits,UTMIDDLE: 0 -> 04:24:12.563774 EchelleThAr.0034.ec.fits updated add EchelleThAr.0038.ec.fits,UTMIDDLE = 0 EchelleThAr.0038.ec.fits updated EchelleThAr.0038.ec.fits,UTMIDDLE: 0 -> 05:37:28.516803 EchelleThAr.0038.ec.fits updated add EchelleThAr.0042.ec.fits,UTMIDDLE = 0 EchelleThAr.0042.ec.fits updated EchelleThAr.0042.ec.fits,UTMIDDLE: 0 -> 06:46:34.460798 EchelleThAr.0042.ec.fits updated add 141024.0022.ec.fits,UTMIDDLE = 0 141024.0022.ec.fits updated 141024.0022.ec.fits,UTMIDDLE: 0 -> 00:55:18.265767 141024.0022.ec.fits updated add 141024.0023.ec.fits,UTMIDDLE = 0 141024.0023.ec.fits updated 141024.0023.ec.fits,UTMIDDLE: 0 -> 01:10:43.282010 141024.0023.ec.fits updated add 141024.0024.ec.fits,UTMIDDLE = 0 141024.0024.ec.fits updated 141024.0024.ec.fits,UTMIDDLE: 0 -> 01:34:00.899760 141024.0024.ec.fits updated add 141024.0026.ec.fits,UTMIDDLE = 0 141024.0026.ec.fits updated 141024.0026.ec.fits,UTMIDDLE: 0 -> 02:01:44.457884 141024.0026.ec.fits updated add 141024.0027.ec.fits,UTMIDDLE = 0 141024.0027.ec.fits updated 141024.0027.ec.fits,UTMIDDLE: 0 -> 02:24:21.049765 141024.0027.ec.fits updated add 141024.0028.ec.fits,UTMIDDLE = 0 141024.0028.ec.fits updated 141024.0028.ec.fits,UTMIDDLE: 0 -> 02:50:23.725078 141024.0028.ec.fits updated add 141024.0030.ec.fits,UTMIDDLE = 0 141024.0030.ec.fits updated 141024.0030.ec.fits,UTMIDDLE: 0 -> 03:14:54.862901 141024.0030.ec.fits updated add 141024.0031.ec.fits,UTMIDDLE = 0 141024.0031.ec.fits updated 141024.0031.ec.fits,UTMIDDLE: 0 -> 03:39:34.671706 141024.0031.ec.fits updated add 141024.0033.ec.fits,UTMIDDLE = 0 141024.0033.ec.fits updated 141024.0033.ec.fits,UTMIDDLE: 0 -> 04:10:22.191104 141024.0033.ec.fits updated add 141024.0035.ec.fits,UTMIDDLE = 0 141024.0035.ec.fits updated 141024.0035.ec.fits,UTMIDDLE: 0 -> 04:35:21.294926 141024.0035.ec.fits updated add 141024.0036.ec.fits,UTMIDDLE = 0 141024.0036.ec.fits updated 141024.0036.ec.fits,UTMIDDLE: 0 -> 04:58:19.480766 141024.0036.ec.fits updated add 141024.0037.ec.fits,UTMIDDLE = 0 141024.0037.ec.fits updated 141024.0037.ec.fits,UTMIDDLE: 0 -> 05:24:03.305935 141024.0037.ec.fits updated add 141024.0039.ec.fits,UTMIDDLE = 0 141024.0039.ec.fits updated 141024.0039.ec.fits,UTMIDDLE: 0 -> 05:49:46.356929 141024.0039.ec.fits updated add 141024.0040.ec.fits,UTMIDDLE = 0 141024.0040.ec.fits updated 141024.0040.ec.fits,UTMIDDLE: 0 -> 06:07:23.686949 141024.0040.ec.fits updated add 141024.0041.ec.fits,UTMIDDLE = 0 141024.0041.ec.fits updated 141024.0041.ec.fits,UTMIDDLE: 0 -> 06:30:38.145227 141024.0041.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 141024.0022.ec.fits 2456954.53841 2456954.53875 2456954 141024.0023.ec.fits 2456954.54911 2456954.54920 2456954 141024.0024.ec.fits 2456954.56529 2456954.56595 2456954 141024.0026.ec.fits 2456954.58454 2456954.58494 2456954 141024.0027.ec.fits 2456954.60024 2456954.60049 2456954 141024.0028.ec.fits 2456954.61833 2456954.61873 2456954 141024.0030.ec.fits 2456954.63536 2456954.63606 2456954 141024.0031.ec.fits 2456954.65248 2456954.65310 2456954 141024.0033.ec.fits 2456954.67387 2456954.67397 2456954 141024.0035.ec.fits 2456954.69122 2456954.69209 2456954 141024.0036.ec.fits 2456954.70717 2456954.70733 2456954 141024.0037.ec.fits 2456954.72504 2456954.72546 2456954 141024.0039.ec.fits 2456954.74290 2456954.74374 2456954 141024.0040.ec.fits 2456954.75514 2456954.75600 2456954 141024.0041.ec.fits 2456954.77127 2456954.77193 2456954 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Fri 12:06:13 24-Oct-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0021.ec 1944/2055 1944/1944 -0.747 5.48 9.67E-6 0.0101 EchelleThAr.0025.ec 1946/2055 1946/1946 -0.338 2.48 4.38E-6 0.0105 EchelleThAr.0029.ec 1936/2055 1936/1936 -0.332 2.45 4.32E-6 0.0101 EchelleThAr.0034.ec 1939/2055 1939/1939 -0.711 5.23 9.23E-6 0.00996 EchelleThAr.0038.ec 1916/2055 1916/1916 -0.878 6.46 1.14E-5 0.0101 EchelleThAr.0042.ec 1935/2055 1935/1935 -0.929 6.83 1.20E-5 0.0104 [141024.0022.ec] refspec1='EchelleThAr.0021.ec 0.77746904' [141024.0022.ec] refspec2='EchelleThAr.0025.ec 0.22253098' [141024.0023.ec] refspec1='EchelleThAr.0021.ec 0.55771965' [141024.0023.ec] refspec2='EchelleThAr.0025.ec 0.44228038' [141024.0024.ec] refspec1='EchelleThAr.0021.ec 0.2256977' [141024.0024.ec] refspec2='EchelleThAr.0025.ec 0.7743023' [141024.0026.ec] refspec1='EchelleThAr.0025.ec 0.8397454' [141024.0026.ec] refspec2='EchelleThAr.0029.ec 0.16025457' [141024.0027.ec] refspec1='EchelleThAr.0025.ec 0.53505152' [141024.0027.ec] refspec2='EchelleThAr.0029.ec 0.46494848' [141024.0028.ec] refspec1='EchelleThAr.0025.ec 0.18407075' [141024.0028.ec] refspec2='EchelleThAr.0029.ec 0.81592923' [141024.0030.ec] refspec1='EchelleThAr.0029.ec 0.86451292' [141024.0030.ec] refspec2='EchelleThAr.0034.ec 0.13548705' [141024.0031.ec] refspec1='EchelleThAr.0029.ec 0.55681551' [141024.0031.ec] refspec2='EchelleThAr.0034.ec 0.44318449' [141024.0033.ec] refspec1='EchelleThAr.0029.ec 0.17265983' [141024.0033.ec] refspec2='EchelleThAr.0034.ec 0.82734019' [141024.0035.ec] refspec1='EchelleThAr.0034.ec 0.84787571' [141024.0035.ec] refspec2='EchelleThAr.0038.ec 0.15212427' [141024.0036.ec] refspec1='EchelleThAr.0034.ec 0.53436333' [141024.0036.ec] refspec2='EchelleThAr.0038.ec 0.46563667' [141024.0037.ec] refspec1='EchelleThAr.0034.ec 0.18317094' [141024.0037.ec] refspec2='EchelleThAr.0038.ec 0.81682909' [141024.0039.ec] refspec1='EchelleThAr.0038.ec 0.82203329' [141024.0039.ec] refspec2='EchelleThAr.0042.ec 0.17796674' [141024.0040.ec] refspec1='EchelleThAr.0038.ec 0.56700569' [141024.0040.ec] refspec2='EchelleThAr.0042.ec 0.43299431' [141024.0041.ec] refspec1='EchelleThAr.0038.ec 0.23066293' [141024.0041.ec] refspec2='EchelleThAr.0042.ec 0.76933706' [EchelleThAr.0021.ec] refspec1='EchelleThAr.0021.ec' [EchelleThAr.0025.ec] refspec1='EchelleThAr.0025.ec' [EchelleThAr.0029.ec] refspec1='EchelleThAr.0029.ec' [EchelleThAr.0034.ec] refspec1='EchelleThAr.0034.ec' [EchelleThAr.0038.ec] refspec1='EchelleThAr.0038.ec' [EchelleThAr.0042.ec] refspec1='EchelleThAr.0042.ec' 141024.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0021.ec 0.77746904' 141024.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0025.ec 0.22253098' 141024.0022.ec.fits: ap = 1, w1 = 10811.7, w2 = 10583.5, dw = -0.13831, nw = 1651 141024.0022.ec.fits: ap = 2, w1 = 10611.5, w2 = 10387.52, dw = -0.13574, nw = 1651 141024.0022.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.68, dw = -0.13327, nw = 1651 141024.0022.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.58, dw = -0.13089, nw = 1651 141024.0022.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.866, dw = -0.12859, nw = 1651 141024.0022.ec.fits: ap = 6, w1 = 9879.715, w2 = 9671.212, dw = -0.12637, nw = 1651 141024.0022.ec.fits: ap = 7, w1 = 9712.273, w2 = 9507.31, dw = -0.12422, nw = 1651 141024.0022.ec.fits: ap = 8, w1 = 9550.413, w2 = 9348.87, dw = -0.12215, nw = 1651 141024.0022.ec.fits: ap = 9, w1 = 9393.859, w2 = 9195.625, dw = -0.12014, nw = 1651 141024.0022.ec.fits: ap = 10, w1 = 9242.356, w2 = 9047.324, dw = -0.1182, nw = 1651 141024.0022.ec.fits: ap = 11, w1 = 9095.662, w2 = 8903.73, dw = -0.11632, nw = 1651 141024.0022.ec.fits: ap = 12, w1 = 8953.553, w2 = 8764.623, dw = -0.1145, nw = 1651 141024.0022.ec.fits: ap = 13, w1 = 8815.816, w2 = 8629.797, dw = -0.11274, nw = 1651 141024.0022.ec.fits: ap = 14, w1 = 8682.253, w2 = 8499.056, dw = -0.11103, nw = 1651 141024.0022.ec.fits: ap = 15, w1 = 8552.677, w2 = 8372.217, dw = -0.10937, nw = 1651 141024.0022.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.109, dw = -0.10776, nw = 1651 141024.0022.ec.fits: ap = 17, w1 = 8304.792, w2 = 8129.57, dw = -0.1062, nw = 1651 141024.0022.ec.fits: ap = 18, w1 = 8186.161, w2 = 8013.445, dw = -0.10468, nw = 1651 141024.0022.ec.fits: ap = 19, w1 = 8070.873, w2 = 7900.592, dw = -0.1032, nw = 1651 141024.0022.ec.fits: ap = 20, w1 = 7958.787, w2 = 7790.874, dw = -0.10177, nw = 1651 141024.0022.ec.fits: ap = 21, w1 = 7849.771, w2 = 7684.161, dw = -0.10037, nw = 1651 141024.0022.ec.fits: ap = 22, w1 = 7743.702, w2 = 7580.333, dw = -0.09901, nw = 1651 141024.0022.ec.fits: ap = 23, w1 = 7640.462, w2 = 7479.273, dw = -0.09769, nw = 1651 141024.0022.ec.fits: ap = 24, w1 = 7539.939, w2 = 7380.873, dw = -0.0964, nw = 1651 141024.0022.ec.fits: ap = 25, w1 = 7442.026, w2 = 7285.029, dw = -0.09515, nw = 1651 141024.0022.ec.fits: ap = 26, w1 = 7346.625, w2 = 7191.642, dw = -0.09393, nw = 1651 141024.0022.ec.fits: ap = 27, w1 = 7253.638, w2 = 7100.619, dw = -0.09274, nw = 1651 141024.0022.ec.fits: ap = 28, w1 = 7162.976, w2 = 7011.872, dw = -0.09158, nw = 1651 141024.0022.ec.fits: ap = 29, w1 = 7074.553, w2 = 6925.316, dw = -0.09045, nw = 1651 141024.0022.ec.fits: ap = 30, w1 = 6988.287, w2 = 6840.872, dw = -0.08934, nw = 1651 141024.0022.ec.fits: ap = 31, w1 = 6904.099, w2 = 6758.462, dw = -0.08826, nw = 1651 141024.0022.ec.fits: ap = 32, w1 = 6821.916, w2 = 6678.015, dw = -0.08721, nw = 1651 141024.0022.ec.fits: ap = 33, w1 = 6741.667, w2 = 6599.46, dw = -0.08619, nw = 1651 141024.0022.ec.fits: ap = 34, w1 = 6663.284, w2 = 6522.732, dw = -0.08518, nw = 1651 141024.0022.ec.fits: ap = 35, w1 = 6586.703, w2 = 6447.769, dw = -0.0842, nw = 1651 141024.0022.ec.fits: ap = 36, w1 = 6511.862, w2 = 6374.509, dw = -0.08324, nw = 1651 141024.0022.ec.fits: ap = 37, w1 = 6438.704, w2 = 6302.895, dw = -0.08231, nw = 1651 141024.0022.ec.fits: ap = 38, w1 = 6367.171, w2 = 6232.873, dw = -0.08139, nw = 1651 141024.0022.ec.fits: ap = 39, w1 = 6297.21, w2 = 6164.39, dw = -0.0805, nw = 1651 141024.0022.ec.fits: ap = 40, w1 = 6228.771, w2 = 6097.396, dw = -0.07962, nw = 1651 141024.0022.ec.fits: ap = 41, w1 = 6161.803, w2 = 6031.842, dw = -0.07876, nw = 1651 141024.0022.ec.fits: ap = 42, w1 = 6096.26, w2 = 5967.683, dw = -0.07793, nw = 1651 141024.0022.ec.fits: ap = 43, w1 = 6032.097, w2 = 5904.876, dw = -0.0771, nw = 1651 141024.0022.ec.fits: ap = 44, w1 = 5969.271, w2 = 5843.376, dw = -0.0763, nw = 1651 141024.0022.ec.fits: ap = 45, w1 = 5907.74, w2 = 5783.145, dw = -0.07551, nw = 1651 141024.0022.ec.fits: ap = 46, w1 = 5847.466, w2 = 5724.143, dw = -0.07474, nw = 1651 141024.0022.ec.fits: ap = 47, w1 = 5788.408, w2 = 5666.333, dw = -0.07398, nw = 1651 141024.0022.ec.fits: ap = 48, w1 = 5730.533, w2 = 5609.68, dw = -0.07324, nw = 1651 141024.0022.ec.fits: ap = 49, w1 = 5673.803, w2 = 5554.148, dw = -0.07252, nw = 1651 141024.0022.ec.fits: ap = 50, w1 = 5618.185, w2 = 5499.706, dw = -0.07181, nw = 1651 141024.0022.ec.fits: ap = 51, w1 = 5563.648, w2 = 5446.32, dw = -0.07111, nw = 1651 141024.0022.ec.fits: ap = 52, w1 = 5510.16, w2 = 5393.962, dw = -0.07042, nw = 1651 141024.0022.ec.fits: ap = 53, w1 = 5457.69, w2 = 5342.6, dw = -0.06975, nw = 1651 141024.0022.ec.fits: ap = 54, w1 = 5406.21, w2 = 5292.208, dw = -0.06909, nw = 1651 141024.0022.ec.fits: ap = 55, w1 = 5355.693, w2 = 5242.758, dw = -0.06845, nw = 1651 141024.0022.ec.fits: ap = 56, w1 = 5306.112, w2 = 5194.224, dw = -0.06781, nw = 1651 141024.0022.ec.fits: ap = 57, w1 = 5257.44, w2 = 5146.58, dw = -0.06719, nw = 1651 141024.0022.ec.fits: ap = 58, w1 = 5209.653, w2 = 5099.803, dw = -0.06658, nw = 1651 141024.0022.ec.fits: ap = 59, w1 = 5162.727, w2 = 5053.868, dw = -0.06597, nw = 1651 141024.0022.ec.fits: ap = 60, w1 = 5116.639, w2 = 5008.754, dw = -0.06538, nw = 1651 141024.0022.ec.fits: ap = 61, w1 = 5071.367, w2 = 4964.439, dw = -0.06481, nw = 1651 141024.0022.ec.fits: ap = 62, w1 = 5026.89, w2 = 4920.901, dw = -0.06424, nw = 1651 141024.0022.ec.fits: ap = 63, w1 = 4983.186, w2 = 4878.12, dw = -0.06368, nw = 1651 141024.0022.ec.fits: ap = 64, w1 = 4940.235, w2 = 4836.078, dw = -0.06313, nw = 1651 141024.0022.ec.fits: ap = 65, w1 = 4898.019, w2 = 4794.753, dw = -0.06259, nw = 1651 141024.0022.ec.fits: ap = 66, w1 = 4856.518, w2 = 4754.13, dw = -0.06205, nw = 1651 141024.0022.ec.fits: ap = 67, w1 = 4815.715, w2 = 4714.189, dw = -0.06153, nw = 1651 141024.0022.ec.fits: ap = 68, w1 = 4775.592, w2 = 4674.914, dw = -0.06102, nw = 1651 141024.0022.ec.fits: ap = 69, w1 = 4736.132, w2 = 4636.288, dw = -0.06051, nw = 1651 141024.0022.ec.fits: ap = 70, w1 = 4697.319, w2 = 4598.295, dw = -0.06001, nw = 1651 141024.0022.ec.fits: ap = 71, w1 = 4659.138, w2 = 4560.921, dw = -0.05953, nw = 1651 141024.0022.ec.fits: ap = 72, w1 = 4621.572, w2 = 4524.149, dw = -0.05904, nw = 1651 141024.0022.ec.fits: ap = 73, w1 = 4584.607, w2 = 4487.966, dw = -0.05857, nw = 1651 141024.0022.ec.fits: ap = 74, w1 = 4548.229, w2 = 4452.357, dw = -0.0581, nw = 1651 141024.0022.ec.fits: ap = 75, w1 = 4512.424, w2 = 4417.309, dw = -0.05765, nw = 1651 141024.0022.ec.fits: ap = 76, w1 = 4477.179, w2 = 4382.808, dw = -0.05719, nw = 1651 141024.0022.ec.fits: ap = 77, w1 = 4442.48, w2 = 4348.843, dw = -0.05675, nw = 1651 141024.0022.ec.fits: ap = 78, w1 = 4408.315, w2 = 4315.4, dw = -0.05631, nw = 1651 141024.0022.ec.fits: ap = 79, w1 = 4374.671, w2 = 4282.468, dw = -0.05588, nw = 1651 141024.0022.ec.fits: ap = 80, w1 = 4341.537, w2 = 4250.035, dw = -0.05546, nw = 1651 141024.0022.ec.fits: ap = 81, w1 = 4308.902, w2 = 4218.089, dw = -0.05504, nw = 1651 141024.0022.ec.fits: ap = 82, w1 = 4276.754, w2 = 4186.621, dw = -0.05463, nw = 1651 141024.0022.ec.fits: ap = 83, w1 = 4245.081, w2 = 4155.618, dw = -0.05422, nw = 1651 141024.0022.ec.fits: ap = 84, w1 = 4213.875, w2 = 4125.071, dw = -0.05382, nw = 1651 141024.0022.ec.fits: ap = 85, w1 = 4183.125, w2 = 4094.971, dw = -0.05343, nw = 1651 141024.0022.ec.fits: ap = 86, w1 = 4152.82, w2 = 4065.307, dw = -0.05304, nw = 1651 141024.0022.ec.fits: ap = 87, w1 = 4122.951, w2 = 4036.07, dw = -0.05266, nw = 1651 141024.0022.ec.fits: ap = 88, w1 = 4093.509, w2 = 4007.251, dw = -0.05228, nw = 1651 141024.0022.ec.fits: ap = 89, w1 = 4064.485, w2 = 3978.84, dw = -0.05191, nw = 1651 141024.0022.ec.fits: ap = 90, w1 = 4035.869, w2 = 3950.83, dw = -0.05154, nw = 1651 141024.0022.ec.fits: ap = 91, w1 = 4007.654, w2 = 3923.211, dw = -0.05118, nw = 1651 141024.0022.ec.fits: ap = 92, w1 = 3979.831, w2 = 3895.976, dw = -0.05082, nw = 1651 141024.0022.ec.fits: ap = 93, w1 = 3952.39, w2 = 3869.116, dw = -0.05047, nw = 1651 141024.0022.ec.fits: ap = 94, w1 = 3925.327, w2 = 3842.625, dw = -0.05012, nw = 1651 141024.0022.ec.fits: ap = 95, w1 = 3898.631, w2 = 3816.494, dw = -0.04978, nw = 1651 141024.0022.ec.fits: ap = 96, w1 = 3872.296, w2 = 3790.716, dw = -0.04944, nw = 1651 141024.0022.ec.fits: ap = 97, w1 = 3846.315, w2 = 3765.284, dw = -0.04911, nw = 1651 141024.0022.ec.fits: ap = 98, w1 = 3820.68, w2 = 3740.191, dw = -0.04878, nw = 1651 141024.0022.ec.fits: ap = 99, w1 = 3795.385, w2 = 3715.431, dw = -0.04846, nw = 1651 141024.0022.ec.fits: ap = 100, w1 = 3770.422, w2 = 3690.996, dw = -0.04814, nw = 1651 141024.0022.ec.fits: ap = 101, w1 = 3745.786, w2 = 3666.881, dw = -0.04782, nw = 1651 141024.0022.ec.fits: ap = 102, w1 = 3721.47, w2 = 3643.079, dw = -0.04751, nw = 1651 141024.0022.ec.fits: ap = 103, w1 = 3697.467, w2 = 3619.584, dw = -0.0472, nw = 1651 141024.0022.ec.fits: ap = 104, w1 = 3673.772, w2 = 3596.39, dw = -0.0469, nw = 1651 141024.0022.ec.fits: ap = 105, w1 = 3650.379, w2 = 3573.492, dw = -0.0466, nw = 1651 141024.0022.ec.fits: ap = 106, w1 = 3627.283, w2 = 3550.883, dw = -0.0463, nw = 1651 141024.0022.ec.fits: ap = 107, w1 = 3604.476, w2 = 3528.559, dw = -0.04601, nw = 1651 141024.0022.ec.fits: ap = 108, w1 = 3581.955, w2 = 3506.514, dw = -0.04572, nw = 1651 141024.0022.ec.fits: ap = 109, w1 = 3559.714, w2 = 3484.743, dw = -0.04544, nw = 1651 141024.0022.ec.fits: ap = 110, w1 = 3537.747, w2 = 3463.24, dw = -0.04516, nw = 1651 141024.0022.ec.fits: ap = 111, w1 = 3516.049, w2 = 3442.001, dw = -0.04488, nw = 1651 141024.0022.ec.fits: ap = 112, w1 = 3494.616, w2 = 3421.021, dw = -0.0446, nw = 1651 141024.0022.ec.fits: ap = 113, w1 = 3473.443, w2 = 3400.296, dw = -0.04433, nw = 1651 141024.0022.ec.fits: ap = 114, w1 = 3452.525, w2 = 3379.82, dw = -0.04406, nw = 1651 141024.0022.ec.fits: ap = 115, w1 = 3431.858, w2 = 3359.589, dw = -0.0438, nw = 1651 141024.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0021.ec 0.55771965' 141024.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0025.ec 0.44228038' 141024.0023.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.5, dw = -0.1383, nw = 1651 141024.0023.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.53, dw = -0.13573, nw = 1651 141024.0023.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.69, dw = -0.13326, nw = 1651 141024.0023.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.58, dw = -0.13088, nw = 1651 141024.0023.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.872, dw = -0.12858, nw = 1651 141024.0023.ec.fits: ap = 6, w1 = 9879.715, w2 = 9671.219, dw = -0.12636, nw = 1651 141024.0023.ec.fits: ap = 7, w1 = 9712.274, w2 = 9507.317, dw = -0.12422, nw = 1651 141024.0023.ec.fits: ap = 8, w1 = 9550.415, w2 = 9348.877, dw = -0.12214, nw = 1651 141024.0023.ec.fits: ap = 9, w1 = 9393.863, w2 = 9195.633, dw = -0.12014, nw = 1651 141024.0023.ec.fits: ap = 10, w1 = 9242.361, w2 = 9047.331, dw = -0.1182, nw = 1651 141024.0023.ec.fits: ap = 11, w1 = 9095.668, w2 = 8903.737, dw = -0.11632, nw = 1651 141024.0023.ec.fits: ap = 12, w1 = 8953.559, w2 = 8764.631, dw = -0.1145, nw = 1651 141024.0023.ec.fits: ap = 13, w1 = 8815.823, w2 = 8629.804, dw = -0.11274, nw = 1651 141024.0023.ec.fits: ap = 14, w1 = 8682.261, w2 = 8499.064, dw = -0.11103, nw = 1651 141024.0023.ec.fits: ap = 15, w1 = 8552.685, w2 = 8372.225, dw = -0.10937, nw = 1651 141024.0023.ec.fits: ap = 16, w1 = 8426.92, w2 = 8249.118, dw = -0.10776, nw = 1651 141024.0023.ec.fits: ap = 17, w1 = 8304.801, w2 = 8129.578, dw = -0.1062, nw = 1651 141024.0023.ec.fits: ap = 18, w1 = 8186.171, w2 = 8013.454, dw = -0.10468, nw = 1651 141024.0023.ec.fits: ap = 19, w1 = 8070.883, w2 = 7900.601, dw = -0.1032, nw = 1651 141024.0023.ec.fits: ap = 20, w1 = 7958.797, w2 = 7790.883, dw = -0.10177, nw = 1651 141024.0023.ec.fits: ap = 21, w1 = 7849.782, w2 = 7684.17, dw = -0.10037, nw = 1651 141024.0023.ec.fits: ap = 22, w1 = 7743.713, w2 = 7580.342, dw = -0.09901, nw = 1651 141024.0023.ec.fits: ap = 23, w1 = 7640.473, w2 = 7479.282, dw = -0.09769, nw = 1651 141024.0023.ec.fits: ap = 24, w1 = 7539.949, w2 = 7380.882, dw = -0.0964, nw = 1651 141024.0023.ec.fits: ap = 25, w1 = 7442.037, w2 = 7285.038, dw = -0.09515, nw = 1651 141024.0023.ec.fits: ap = 26, w1 = 7346.635, w2 = 7191.651, dw = -0.09393, nw = 1651 141024.0023.ec.fits: ap = 27, w1 = 7253.648, w2 = 7100.629, dw = -0.09274, nw = 1651 141024.0023.ec.fits: ap = 28, w1 = 7162.987, w2 = 7011.882, dw = -0.09158, nw = 1651 141024.0023.ec.fits: ap = 29, w1 = 7074.563, w2 = 6925.326, dw = -0.09045, nw = 1651 141024.0023.ec.fits: ap = 30, w1 = 6988.297, w2 = 6840.881, dw = -0.08934, nw = 1651 141024.0023.ec.fits: ap = 31, w1 = 6904.109, w2 = 6758.472, dw = -0.08827, nw = 1651 141024.0023.ec.fits: ap = 32, w1 = 6821.926, w2 = 6678.024, dw = -0.08721, nw = 1651 141024.0023.ec.fits: ap = 33, w1 = 6741.676, w2 = 6599.47, dw = -0.08619, nw = 1651 141024.0023.ec.fits: ap = 34, w1 = 6663.293, w2 = 6522.742, dw = -0.08518, nw = 1651 141024.0023.ec.fits: ap = 35, w1 = 6586.712, w2 = 6447.778, dw = -0.0842, nw = 1651 141024.0023.ec.fits: ap = 36, w1 = 6511.871, w2 = 6374.518, dw = -0.08324, nw = 1651 141024.0023.ec.fits: ap = 37, w1 = 6438.713, w2 = 6302.904, dw = -0.08231, nw = 1651 141024.0023.ec.fits: ap = 38, w1 = 6367.18, w2 = 6232.882, dw = -0.08139, nw = 1651 141024.0023.ec.fits: ap = 39, w1 = 6297.219, w2 = 6164.399, dw = -0.0805, nw = 1651 141024.0023.ec.fits: ap = 40, w1 = 6228.779, w2 = 6097.405, dw = -0.07962, nw = 1651 141024.0023.ec.fits: ap = 41, w1 = 6161.811, w2 = 6031.851, dw = -0.07876, nw = 1651 141024.0023.ec.fits: ap = 42, w1 = 6096.268, w2 = 5967.692, dw = -0.07792, nw = 1651 141024.0023.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.884, dw = -0.0771, nw = 1651 141024.0023.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.385, dw = -0.0763, nw = 1651 141024.0023.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.154, dw = -0.07551, nw = 1651 141024.0023.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.152, dw = -0.07474, nw = 1651 141024.0023.ec.fits: ap = 47, w1 = 5788.416, w2 = 5666.342, dw = -0.07398, nw = 1651 141024.0023.ec.fits: ap = 48, w1 = 5730.54, w2 = 5609.688, dw = -0.07324, nw = 1651 141024.0023.ec.fits: ap = 49, w1 = 5673.81, w2 = 5554.156, dw = -0.07252, nw = 1651 141024.0023.ec.fits: ap = 50, w1 = 5618.192, w2 = 5499.713, dw = -0.07181, nw = 1651 141024.0023.ec.fits: ap = 51, w1 = 5563.655, w2 = 5446.328, dw = -0.07111, nw = 1651 141024.0023.ec.fits: ap = 52, w1 = 5510.166, w2 = 5393.969, dw = -0.07042, nw = 1651 141024.0023.ec.fits: ap = 53, w1 = 5457.697, w2 = 5342.607, dw = -0.06975, nw = 1651 141024.0023.ec.fits: ap = 54, w1 = 5406.217, w2 = 5292.215, dw = -0.06909, nw = 1651 141024.0023.ec.fits: ap = 55, w1 = 5355.7, w2 = 5242.765, dw = -0.06845, nw = 1651 141024.0023.ec.fits: ap = 56, w1 = 5306.118, w2 = 5194.23, dw = -0.06781, nw = 1651 141024.0023.ec.fits: ap = 57, w1 = 5257.446, w2 = 5146.587, dw = -0.06719, nw = 1651 141024.0023.ec.fits: ap = 58, w1 = 5209.659, w2 = 5099.809, dw = -0.06658, nw = 1651 141024.0023.ec.fits: ap = 59, w1 = 5162.733, w2 = 5053.875, dw = -0.06598, nw = 1651 141024.0023.ec.fits: ap = 60, w1 = 5116.646, w2 = 5008.76, dw = -0.06538, nw = 1651 141024.0023.ec.fits: ap = 61, w1 = 5071.374, w2 = 4964.445, dw = -0.06481, nw = 1651 141024.0023.ec.fits: ap = 62, w1 = 5026.896, w2 = 4920.907, dw = -0.06424, nw = 1651 141024.0023.ec.fits: ap = 63, w1 = 4983.192, w2 = 4878.126, dw = -0.06368, nw = 1651 141024.0023.ec.fits: ap = 64, w1 = 4940.241, w2 = 4836.083, dw = -0.06313, nw = 1651 141024.0023.ec.fits: ap = 65, w1 = 4898.025, w2 = 4794.759, dw = -0.06259, nw = 1651 141024.0023.ec.fits: ap = 66, w1 = 4856.525, w2 = 4754.135, dw = -0.06205, nw = 1651 141024.0023.ec.fits: ap = 67, w1 = 4815.721, w2 = 4714.194, dw = -0.06153, nw = 1651 141024.0023.ec.fits: ap = 68, w1 = 4775.598, w2 = 4674.919, dw = -0.06102, nw = 1651 141024.0023.ec.fits: ap = 69, w1 = 4736.139, w2 = 4636.293, dw = -0.06051, nw = 1651 141024.0023.ec.fits: ap = 70, w1 = 4697.326, w2 = 4598.3, dw = -0.06002, nw = 1651 141024.0023.ec.fits: ap = 71, w1 = 4659.144, w2 = 4560.926, dw = -0.05953, nw = 1651 141024.0023.ec.fits: ap = 72, w1 = 4621.578, w2 = 4524.154, dw = -0.05905, nw = 1651 141024.0023.ec.fits: ap = 73, w1 = 4584.614, w2 = 4487.97, dw = -0.05857, nw = 1651 141024.0023.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.362, dw = -0.05811, nw = 1651 141024.0023.ec.fits: ap = 75, w1 = 4512.431, w2 = 4417.313, dw = -0.05765, nw = 1651 141024.0023.ec.fits: ap = 76, w1 = 4477.186, w2 = 4382.813, dw = -0.0572, nw = 1651 141024.0023.ec.fits: ap = 77, w1 = 4442.487, w2 = 4348.848, dw = -0.05675, nw = 1651 141024.0023.ec.fits: ap = 78, w1 = 4408.321, w2 = 4315.405, dw = -0.05631, nw = 1651 141024.0023.ec.fits: ap = 79, w1 = 4374.678, w2 = 4282.473, dw = -0.05588, nw = 1651 141024.0023.ec.fits: ap = 80, w1 = 4341.544, w2 = 4250.04, dw = -0.05546, nw = 1651 141024.0023.ec.fits: ap = 81, w1 = 4308.909, w2 = 4218.095, dw = -0.05504, nw = 1651 141024.0023.ec.fits: ap = 82, w1 = 4276.761, w2 = 4186.626, dw = -0.05463, nw = 1651 141024.0023.ec.fits: ap = 83, w1 = 4245.088, w2 = 4155.624, dw = -0.05422, nw = 1651 141024.0023.ec.fits: ap = 84, w1 = 4213.882, w2 = 4125.078, dw = -0.05382, nw = 1651 141024.0023.ec.fits: ap = 85, w1 = 4183.132, w2 = 4094.978, dw = -0.05343, nw = 1651 141024.0023.ec.fits: ap = 86, w1 = 4152.827, w2 = 4065.314, dw = -0.05304, nw = 1651 141024.0023.ec.fits: ap = 87, w1 = 4122.958, w2 = 4036.078, dw = -0.05265, nw = 1651 141024.0023.ec.fits: ap = 88, w1 = 4093.516, w2 = 4007.259, dw = -0.05228, nw = 1651 141024.0023.ec.fits: ap = 89, w1 = 4064.492, w2 = 3978.849, dw = -0.0519, nw = 1651 141024.0023.ec.fits: ap = 90, w1 = 4035.876, w2 = 3950.839, dw = -0.05154, nw = 1651 141024.0023.ec.fits: ap = 91, w1 = 4007.661, w2 = 3923.221, dw = -0.05118, nw = 1651 141024.0023.ec.fits: ap = 92, w1 = 3979.837, w2 = 3895.986, dw = -0.05082, nw = 1651 141024.0023.ec.fits: ap = 93, w1 = 3952.397, w2 = 3869.127, dw = -0.05047, nw = 1651 141024.0023.ec.fits: ap = 94, w1 = 3925.333, w2 = 3842.636, dw = -0.05012, nw = 1651 141024.0023.ec.fits: ap = 95, w1 = 3898.637, w2 = 3816.506, dw = -0.04978, nw = 1651 141024.0023.ec.fits: ap = 96, w1 = 3872.302, w2 = 3790.729, dw = -0.04944, nw = 1651 141024.0023.ec.fits: ap = 97, w1 = 3846.321, w2 = 3765.298, dw = -0.0491, nw = 1651 141024.0023.ec.fits: ap = 98, w1 = 3820.686, w2 = 3740.206, dw = -0.04878, nw = 1651 141024.0023.ec.fits: ap = 99, w1 = 3795.39, w2 = 3715.446, dw = -0.04845, nw = 1651 141024.0023.ec.fits: ap = 100, w1 = 3770.427, w2 = 3691.013, dw = -0.04813, nw = 1651 141024.0023.ec.fits: ap = 101, w1 = 3745.791, w2 = 3666.899, dw = -0.04781, nw = 1651 141024.0023.ec.fits: ap = 102, w1 = 3721.474, w2 = 3643.098, dw = -0.0475, nw = 1651 141024.0023.ec.fits: ap = 103, w1 = 3697.471, w2 = 3619.604, dw = -0.04719, nw = 1651 141024.0023.ec.fits: ap = 104, w1 = 3673.776, w2 = 3596.411, dw = -0.04689, nw = 1651 141024.0023.ec.fits: ap = 105, w1 = 3650.383, w2 = 3573.514, dw = -0.04659, nw = 1651 141024.0023.ec.fits: ap = 106, w1 = 3627.286, w2 = 3550.907, dw = -0.04629, nw = 1651 141024.0023.ec.fits: ap = 107, w1 = 3604.479, w2 = 3528.584, dw = -0.046, nw = 1651 141024.0023.ec.fits: ap = 108, w1 = 3581.957, w2 = 3506.54, dw = -0.04571, nw = 1651 141024.0023.ec.fits: ap = 109, w1 = 3559.715, w2 = 3484.771, dw = -0.04542, nw = 1651 141024.0023.ec.fits: ap = 110, w1 = 3537.748, w2 = 3463.27, dw = -0.04514, nw = 1651 141024.0023.ec.fits: ap = 111, w1 = 3516.05, w2 = 3442.032, dw = -0.04486, nw = 1651 141024.0023.ec.fits: ap = 112, w1 = 3494.616, w2 = 3421.054, dw = -0.04458, nw = 1651 141024.0023.ec.fits: ap = 113, w1 = 3473.443, w2 = 3400.33, dw = -0.04431, nw = 1651 141024.0023.ec.fits: ap = 114, w1 = 3452.524, w2 = 3379.856, dw = -0.04404, nw = 1651 141024.0023.ec.fits: ap = 115, w1 = 3431.856, w2 = 3359.627, dw = -0.04377, nw = 1651 141024.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0021.ec 0.2256977' 141024.0024.ec.fits: REFSPEC2 = 'EchelleThAr.0025.ec 0.7743023' 141024.0024.ec.fits: ap = 1, w1 = 10811.67, w2 = 10583.51, dw = -0.13828, nw = 1651 141024.0024.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.54, dw = -0.13572, nw = 1651 141024.0024.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.7, dw = -0.13325, nw = 1651 141024.0024.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.6, dw = -0.13087, nw = 1651 141024.0024.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.883, dw = -0.12857, nw = 1651 141024.0024.ec.fits: ap = 6, w1 = 9879.714, w2 = 9671.23, dw = -0.12635, nw = 1651 141024.0024.ec.fits: ap = 7, w1 = 9712.276, w2 = 9507.327, dw = -0.12421, nw = 1651 141024.0024.ec.fits: ap = 8, w1 = 9550.419, w2 = 9348.888, dw = -0.12214, nw = 1651 141024.0024.ec.fits: ap = 9, w1 = 9393.869, w2 = 9195.643, dw = -0.12014, nw = 1651 141024.0024.ec.fits: ap = 10, w1 = 9242.368, w2 = 9047.342, dw = -0.1182, nw = 1651 141024.0024.ec.fits: ap = 11, w1 = 9095.677, w2 = 8903.749, dw = -0.11632, nw = 1651 141024.0024.ec.fits: ap = 12, w1 = 8953.569, w2 = 8764.642, dw = -0.1145, nw = 1651 141024.0024.ec.fits: ap = 13, w1 = 8815.834, w2 = 8629.816, dw = -0.11274, nw = 1651 141024.0024.ec.fits: ap = 14, w1 = 8682.273, w2 = 8499.076, dw = -0.11103, nw = 1651 141024.0024.ec.fits: ap = 15, w1 = 8552.698, w2 = 8372.238, dw = -0.10937, nw = 1651 141024.0024.ec.fits: ap = 16, w1 = 8426.934, w2 = 8249.13, dw = -0.10776, nw = 1651 141024.0024.ec.fits: ap = 17, w1 = 8304.815, w2 = 8129.591, dw = -0.1062, nw = 1651 141024.0024.ec.fits: ap = 18, w1 = 8186.186, w2 = 8013.467, dw = -0.10468, nw = 1651 141024.0024.ec.fits: ap = 19, w1 = 8070.898, w2 = 7900.614, dw = -0.1032, nw = 1651 141024.0024.ec.fits: ap = 20, w1 = 7958.812, w2 = 7790.896, dw = -0.10177, nw = 1651 141024.0024.ec.fits: ap = 21, w1 = 7849.797, w2 = 7684.184, dw = -0.10037, nw = 1651 141024.0024.ec.fits: ap = 22, w1 = 7743.729, w2 = 7580.355, dw = -0.09901, nw = 1651 141024.0024.ec.fits: ap = 23, w1 = 7640.488, w2 = 7479.296, dw = -0.09769, nw = 1651 141024.0024.ec.fits: ap = 24, w1 = 7539.965, w2 = 7380.896, dw = -0.09641, nw = 1651 141024.0024.ec.fits: ap = 25, w1 = 7442.053, w2 = 7285.052, dw = -0.09515, nw = 1651 141024.0024.ec.fits: ap = 26, w1 = 7346.651, w2 = 7191.665, dw = -0.09393, nw = 1651 141024.0024.ec.fits: ap = 27, w1 = 7253.664, w2 = 7100.643, dw = -0.09274, nw = 1651 141024.0024.ec.fits: ap = 28, w1 = 7163.002, w2 = 7011.896, dw = -0.09158, nw = 1651 141024.0024.ec.fits: ap = 29, w1 = 7074.579, w2 = 6925.34, dw = -0.09045, nw = 1651 141024.0024.ec.fits: ap = 30, w1 = 6988.312, w2 = 6840.896, dw = -0.08934, nw = 1651 141024.0024.ec.fits: ap = 31, w1 = 6904.124, w2 = 6758.486, dw = -0.08827, nw = 1651 141024.0024.ec.fits: ap = 32, w1 = 6821.941, w2 = 6678.039, dw = -0.08721, nw = 1651 141024.0024.ec.fits: ap = 33, w1 = 6741.691, w2 = 6599.484, dw = -0.08619, nw = 1651 141024.0024.ec.fits: ap = 34, w1 = 6663.307, w2 = 6522.756, dw = -0.08518, nw = 1651 141024.0024.ec.fits: ap = 35, w1 = 6586.726, w2 = 6447.793, dw = -0.0842, nw = 1651 141024.0024.ec.fits: ap = 36, w1 = 6511.885, w2 = 6374.532, dw = -0.08324, nw = 1651 141024.0024.ec.fits: ap = 37, w1 = 6438.726, w2 = 6302.919, dw = -0.08231, nw = 1651 141024.0024.ec.fits: ap = 38, w1 = 6367.193, w2 = 6232.896, dw = -0.08139, nw = 1651 141024.0024.ec.fits: ap = 39, w1 = 6297.232, w2 = 6164.413, dw = -0.0805, nw = 1651 141024.0024.ec.fits: ap = 40, w1 = 6228.792, w2 = 6097.418, dw = -0.07962, nw = 1651 141024.0024.ec.fits: ap = 41, w1 = 6161.824, w2 = 6031.865, dw = -0.07876, nw = 1651 141024.0024.ec.fits: ap = 42, w1 = 6096.28, w2 = 5967.706, dw = -0.07792, nw = 1651 141024.0024.ec.fits: ap = 43, w1 = 6032.117, w2 = 5904.898, dw = -0.0771, nw = 1651 141024.0024.ec.fits: ap = 44, w1 = 5969.291, w2 = 5843.398, dw = -0.0763, nw = 1651 141024.0024.ec.fits: ap = 45, w1 = 5907.76, w2 = 5783.166, dw = -0.07551, nw = 1651 141024.0024.ec.fits: ap = 46, w1 = 5847.484, w2 = 5724.164, dw = -0.07474, nw = 1651 141024.0024.ec.fits: ap = 47, w1 = 5788.427, w2 = 5666.354, dw = -0.07398, nw = 1651 141024.0024.ec.fits: ap = 48, w1 = 5730.551, w2 = 5609.7, dw = -0.07324, nw = 1651 141024.0024.ec.fits: ap = 49, w1 = 5673.82, w2 = 5554.168, dw = -0.07252, nw = 1651 141024.0024.ec.fits: ap = 50, w1 = 5618.203, w2 = 5499.725, dw = -0.0718, nw = 1651 141024.0024.ec.fits: ap = 51, w1 = 5563.665, w2 = 5446.339, dw = -0.07111, nw = 1651 141024.0024.ec.fits: ap = 52, w1 = 5510.177, w2 = 5393.98, dw = -0.07042, nw = 1651 141024.0024.ec.fits: ap = 53, w1 = 5457.707, w2 = 5342.618, dw = -0.06975, nw = 1651 141024.0024.ec.fits: ap = 54, w1 = 5406.227, w2 = 5292.226, dw = -0.06909, nw = 1651 141024.0024.ec.fits: ap = 55, w1 = 5355.71, w2 = 5242.775, dw = -0.06845, nw = 1651 141024.0024.ec.fits: ap = 56, w1 = 5306.128, w2 = 5194.24, dw = -0.06781, nw = 1651 141024.0024.ec.fits: ap = 57, w1 = 5257.456, w2 = 5146.596, dw = -0.06719, nw = 1651 141024.0024.ec.fits: ap = 58, w1 = 5209.669, w2 = 5099.819, dw = -0.06658, nw = 1651 141024.0024.ec.fits: ap = 59, w1 = 5162.743, w2 = 5053.884, dw = -0.06598, nw = 1651 141024.0024.ec.fits: ap = 60, w1 = 5116.655, w2 = 5008.769, dw = -0.06539, nw = 1651 141024.0024.ec.fits: ap = 61, w1 = 5071.383, w2 = 4964.454, dw = -0.06481, nw = 1651 141024.0024.ec.fits: ap = 62, w1 = 5026.905, w2 = 4920.915, dw = -0.06424, nw = 1651 141024.0024.ec.fits: ap = 63, w1 = 4983.201, w2 = 4878.134, dw = -0.06368, nw = 1651 141024.0024.ec.fits: ap = 64, w1 = 4940.251, w2 = 4836.091, dw = -0.06313, nw = 1651 141024.0024.ec.fits: ap = 65, w1 = 4898.035, w2 = 4794.767, dw = -0.06259, nw = 1651 141024.0024.ec.fits: ap = 66, w1 = 4856.534, w2 = 4754.143, dw = -0.06206, nw = 1651 141024.0024.ec.fits: ap = 67, w1 = 4815.731, w2 = 4714.202, dw = -0.06153, nw = 1651 141024.0024.ec.fits: ap = 68, w1 = 4775.608, w2 = 4674.926, dw = -0.06102, nw = 1651 141024.0024.ec.fits: ap = 69, w1 = 4736.148, w2 = 4636.3, dw = -0.06051, nw = 1651 141024.0024.ec.fits: ap = 70, w1 = 4697.336, w2 = 4598.308, dw = -0.06002, nw = 1651 141024.0024.ec.fits: ap = 71, w1 = 4659.154, w2 = 4560.933, dw = -0.05953, nw = 1651 141024.0024.ec.fits: ap = 72, w1 = 4621.588, w2 = 4524.161, dw = -0.05905, nw = 1651 141024.0024.ec.fits: ap = 73, w1 = 4584.624, w2 = 4487.978, dw = -0.05857, nw = 1651 141024.0024.ec.fits: ap = 74, w1 = 4548.246, w2 = 4452.369, dw = -0.05811, nw = 1651 141024.0024.ec.fits: ap = 75, w1 = 4512.441, w2 = 4417.321, dw = -0.05765, nw = 1651 141024.0024.ec.fits: ap = 76, w1 = 4477.196, w2 = 4382.82, dw = -0.0572, nw = 1651 141024.0024.ec.fits: ap = 77, w1 = 4442.497, w2 = 4348.855, dw = -0.05675, nw = 1651 141024.0024.ec.fits: ap = 78, w1 = 4408.332, w2 = 4315.413, dw = -0.05631, nw = 1651 141024.0024.ec.fits: ap = 79, w1 = 4374.688, w2 = 4282.481, dw = -0.05588, nw = 1651 141024.0024.ec.fits: ap = 80, w1 = 4341.555, w2 = 4250.048, dw = -0.05546, nw = 1651 141024.0024.ec.fits: ap = 81, w1 = 4308.919, w2 = 4218.103, dw = -0.05504, nw = 1651 141024.0024.ec.fits: ap = 82, w1 = 4276.771, w2 = 4186.635, dw = -0.05463, nw = 1651 141024.0024.ec.fits: ap = 83, w1 = 4245.099, w2 = 4155.633, dw = -0.05422, nw = 1651 141024.0024.ec.fits: ap = 84, w1 = 4213.893, w2 = 4125.088, dw = -0.05382, nw = 1651 141024.0024.ec.fits: ap = 85, w1 = 4183.142, w2 = 4094.988, dw = -0.05343, nw = 1651 141024.0024.ec.fits: ap = 86, w1 = 4152.837, w2 = 4065.325, dw = -0.05304, nw = 1651 141024.0024.ec.fits: ap = 87, w1 = 4122.969, w2 = 4036.089, dw = -0.05265, nw = 1651 141024.0024.ec.fits: ap = 88, w1 = 4093.526, w2 = 4007.271, dw = -0.05228, nw = 1651 141024.0024.ec.fits: ap = 89, w1 = 4064.502, w2 = 3978.861, dw = -0.0519, nw = 1651 141024.0024.ec.fits: ap = 90, w1 = 4035.886, w2 = 3950.852, dw = -0.05154, nw = 1651 141024.0024.ec.fits: ap = 91, w1 = 4007.671, w2 = 3923.235, dw = -0.05117, nw = 1651 141024.0024.ec.fits: ap = 92, w1 = 3979.847, w2 = 3896.001, dw = -0.05082, nw = 1651 141024.0024.ec.fits: ap = 93, w1 = 3952.407, w2 = 3869.143, dw = -0.05046, nw = 1651 141024.0024.ec.fits: ap = 94, w1 = 3925.343, w2 = 3842.653, dw = -0.05011, nw = 1651 141024.0024.ec.fits: ap = 95, w1 = 3898.647, w2 = 3816.524, dw = -0.04977, nw = 1651 141024.0024.ec.fits: ap = 96, w1 = 3872.311, w2 = 3790.748, dw = -0.04943, nw = 1651 141024.0024.ec.fits: ap = 97, w1 = 3846.33, w2 = 3765.318, dw = -0.0491, nw = 1651 141024.0024.ec.fits: ap = 98, w1 = 3820.694, w2 = 3740.228, dw = -0.04877, nw = 1651 141024.0024.ec.fits: ap = 99, w1 = 3795.398, w2 = 3715.47, dw = -0.04844, nw = 1651 141024.0024.ec.fits: ap = 100, w1 = 3770.435, w2 = 3691.038, dw = -0.04812, nw = 1651 141024.0024.ec.fits: ap = 101, w1 = 3745.798, w2 = 3666.925, dw = -0.0478, nw = 1651 141024.0024.ec.fits: ap = 102, w1 = 3721.481, w2 = 3643.126, dw = -0.04749, nw = 1651 141024.0024.ec.fits: ap = 103, w1 = 3697.478, w2 = 3619.634, dw = -0.04718, nw = 1651 141024.0024.ec.fits: ap = 104, w1 = 3673.782, w2 = 3596.443, dw = -0.04687, nw = 1651 141024.0024.ec.fits: ap = 105, w1 = 3650.388, w2 = 3573.548, dw = -0.04657, nw = 1651 141024.0024.ec.fits: ap = 106, w1 = 3627.29, w2 = 3550.943, dw = -0.04627, nw = 1651 141024.0024.ec.fits: ap = 107, w1 = 3604.483, w2 = 3528.622, dw = -0.04598, nw = 1651 141024.0024.ec.fits: ap = 108, w1 = 3581.961, w2 = 3506.581, dw = -0.04568, nw = 1651 141024.0024.ec.fits: ap = 109, w1 = 3559.718, w2 = 3484.813, dw = -0.0454, nw = 1651 141024.0024.ec.fits: ap = 110, w1 = 3537.749, w2 = 3463.314, dw = -0.04511, nw = 1651 141024.0024.ec.fits: ap = 111, w1 = 3516.05, w2 = 3442.08, dw = -0.04483, nw = 1651 141024.0024.ec.fits: ap = 112, w1 = 3494.616, w2 = 3421.104, dw = -0.04455, nw = 1651 141024.0024.ec.fits: ap = 113, w1 = 3473.441, w2 = 3400.383, dw = -0.04428, nw = 1651 141024.0024.ec.fits: ap = 114, w1 = 3452.522, w2 = 3379.912, dw = -0.04401, nw = 1651 141024.0024.ec.fits: ap = 115, w1 = 3431.852, w2 = 3359.686, dw = -0.04374, nw = 1651 141024.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0025.ec 0.8397454' 141024.0026.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.16025457' 141024.0026.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.52, dw = -0.13827, nw = 1651 141024.0026.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.55, dw = -0.13571, nw = 1651 141024.0026.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.7, dw = -0.13324, nw = 1651 141024.0026.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.6, dw = -0.13086, nw = 1651 141024.0026.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.888, dw = -0.12857, nw = 1651 141024.0026.ec.fits: ap = 6, w1 = 9879.715, w2 = 9671.235, dw = -0.12635, nw = 1651 141024.0026.ec.fits: ap = 7, w1 = 9712.278, w2 = 9507.333, dw = -0.12421, nw = 1651 141024.0026.ec.fits: ap = 8, w1 = 9550.424, w2 = 9348.894, dw = -0.12214, nw = 1651 141024.0026.ec.fits: ap = 9, w1 = 9393.874, w2 = 9195.65, dw = -0.12014, nw = 1651 141024.0026.ec.fits: ap = 10, w1 = 9242.374, w2 = 9047.348, dw = -0.1182, nw = 1651 141024.0026.ec.fits: ap = 11, w1 = 9095.683, w2 = 8903.755, dw = -0.11632, nw = 1651 141024.0026.ec.fits: ap = 12, w1 = 8953.577, w2 = 8764.649, dw = -0.1145, nw = 1651 141024.0026.ec.fits: ap = 13, w1 = 8815.843, w2 = 8629.823, dw = -0.11274, nw = 1651 141024.0026.ec.fits: ap = 14, w1 = 8682.282, w2 = 8499.083, dw = -0.11103, nw = 1651 141024.0026.ec.fits: ap = 15, w1 = 8552.708, w2 = 8372.245, dw = -0.10937, nw = 1651 141024.0026.ec.fits: ap = 16, w1 = 8426.944, w2 = 8249.138, dw = -0.10776, nw = 1651 141024.0026.ec.fits: ap = 17, w1 = 8304.826, w2 = 8129.599, dw = -0.1062, nw = 1651 141024.0026.ec.fits: ap = 18, w1 = 8186.197, w2 = 8013.475, dw = -0.10468, nw = 1651 141024.0026.ec.fits: ap = 19, w1 = 8070.909, w2 = 7900.622, dw = -0.1032, nw = 1651 141024.0026.ec.fits: ap = 20, w1 = 7958.823, w2 = 7790.904, dw = -0.10177, nw = 1651 141024.0026.ec.fits: ap = 21, w1 = 7849.809, w2 = 7684.192, dw = -0.10037, nw = 1651 141024.0026.ec.fits: ap = 22, w1 = 7743.74, w2 = 7580.364, dw = -0.09902, nw = 1651 141024.0026.ec.fits: ap = 23, w1 = 7640.5, w2 = 7479.305, dw = -0.09769, nw = 1651 141024.0026.ec.fits: ap = 24, w1 = 7539.976, w2 = 7380.905, dw = -0.09641, nw = 1651 141024.0026.ec.fits: ap = 25, w1 = 7442.064, w2 = 7285.061, dw = -0.09515, nw = 1651 141024.0026.ec.fits: ap = 26, w1 = 7346.662, w2 = 7191.674, dw = -0.09393, nw = 1651 141024.0026.ec.fits: ap = 27, w1 = 7253.675, w2 = 7100.652, dw = -0.09274, nw = 1651 141024.0026.ec.fits: ap = 28, w1 = 7163.013, w2 = 7011.905, dw = -0.09158, nw = 1651 141024.0026.ec.fits: ap = 29, w1 = 7074.59, w2 = 6925.349, dw = -0.09045, nw = 1651 141024.0026.ec.fits: ap = 30, w1 = 6988.323, w2 = 6840.905, dw = -0.08934, nw = 1651 141024.0026.ec.fits: ap = 31, w1 = 6904.135, w2 = 6758.495, dw = -0.08827, nw = 1651 141024.0026.ec.fits: ap = 32, w1 = 6821.951, w2 = 6678.048, dw = -0.08721, nw = 1651 141024.0026.ec.fits: ap = 33, w1 = 6741.701, w2 = 6599.493, dw = -0.08619, nw = 1651 141024.0026.ec.fits: ap = 34, w1 = 6663.317, w2 = 6522.765, dw = -0.08518, nw = 1651 141024.0026.ec.fits: ap = 35, w1 = 6586.736, w2 = 6447.801, dw = -0.0842, nw = 1651 141024.0026.ec.fits: ap = 36, w1 = 6511.895, w2 = 6374.541, dw = -0.08324, nw = 1651 141024.0026.ec.fits: ap = 37, w1 = 6438.735, w2 = 6302.927, dw = -0.08231, nw = 1651 141024.0026.ec.fits: ap = 38, w1 = 6367.202, w2 = 6232.905, dw = -0.08139, nw = 1651 141024.0026.ec.fits: ap = 39, w1 = 6297.241, w2 = 6164.421, dw = -0.0805, nw = 1651 141024.0026.ec.fits: ap = 40, w1 = 6228.8, w2 = 6097.427, dw = -0.07962, nw = 1651 141024.0026.ec.fits: ap = 41, w1 = 6161.832, w2 = 6031.873, dw = -0.07876, nw = 1651 141024.0026.ec.fits: ap = 42, w1 = 6096.289, w2 = 5967.714, dw = -0.07792, nw = 1651 141024.0026.ec.fits: ap = 43, w1 = 6032.125, w2 = 5904.905, dw = -0.0771, nw = 1651 141024.0026.ec.fits: ap = 44, w1 = 5969.299, w2 = 5843.406, dw = -0.0763, nw = 1651 141024.0026.ec.fits: ap = 45, w1 = 5907.767, w2 = 5783.174, dw = -0.07551, nw = 1651 141024.0026.ec.fits: ap = 46, w1 = 5847.492, w2 = 5724.172, dw = -0.07474, nw = 1651 141024.0026.ec.fits: ap = 47, w1 = 5788.434, w2 = 5666.361, dw = -0.07398, nw = 1651 141024.0026.ec.fits: ap = 48, w1 = 5730.558, w2 = 5609.707, dw = -0.07324, nw = 1651 141024.0026.ec.fits: ap = 49, w1 = 5673.828, w2 = 5554.175, dw = -0.07252, nw = 1651 141024.0026.ec.fits: ap = 50, w1 = 5618.21, w2 = 5499.732, dw = -0.07181, nw = 1651 141024.0026.ec.fits: ap = 51, w1 = 5563.672, w2 = 5446.346, dw = -0.07111, nw = 1651 141024.0026.ec.fits: ap = 52, w1 = 5510.184, w2 = 5393.986, dw = -0.07042, nw = 1651 141024.0026.ec.fits: ap = 53, w1 = 5457.714, w2 = 5342.625, dw = -0.06975, nw = 1651 141024.0026.ec.fits: ap = 54, w1 = 5406.234, w2 = 5292.232, dw = -0.06909, nw = 1651 141024.0026.ec.fits: ap = 55, w1 = 5355.716, w2 = 5242.781, dw = -0.06845, nw = 1651 141024.0026.ec.fits: ap = 56, w1 = 5306.134, w2 = 5194.246, dw = -0.06781, nw = 1651 141024.0026.ec.fits: ap = 57, w1 = 5257.462, w2 = 5146.602, dw = -0.06719, nw = 1651 141024.0026.ec.fits: ap = 58, w1 = 5209.675, w2 = 5099.824, dw = -0.06658, nw = 1651 141024.0026.ec.fits: ap = 59, w1 = 5162.75, w2 = 5053.889, dw = -0.06598, nw = 1651 141024.0026.ec.fits: ap = 60, w1 = 5116.662, w2 = 5008.774, dw = -0.06539, nw = 1651 141024.0026.ec.fits: ap = 61, w1 = 5071.39, w2 = 4964.458, dw = -0.06481, nw = 1651 141024.0026.ec.fits: ap = 62, w1 = 5026.912, w2 = 4920.92, dw = -0.06424, nw = 1651 141024.0026.ec.fits: ap = 63, w1 = 4983.208, w2 = 4878.139, dw = -0.06368, nw = 1651 141024.0026.ec.fits: ap = 64, w1 = 4940.257, w2 = 4836.095, dw = -0.06313, nw = 1651 141024.0026.ec.fits: ap = 65, w1 = 4898.041, w2 = 4794.771, dw = -0.06259, nw = 1651 141024.0026.ec.fits: ap = 66, w1 = 4856.54, w2 = 4754.147, dw = -0.06206, nw = 1651 141024.0026.ec.fits: ap = 67, w1 = 4815.737, w2 = 4714.206, dw = -0.06153, nw = 1651 141024.0026.ec.fits: ap = 68, w1 = 4775.614, w2 = 4674.93, dw = -0.06102, nw = 1651 141024.0026.ec.fits: ap = 69, w1 = 4736.155, w2 = 4636.304, dw = -0.06052, nw = 1651 141024.0026.ec.fits: ap = 70, w1 = 4697.342, w2 = 4598.311, dw = -0.06002, nw = 1651 141024.0026.ec.fits: ap = 71, w1 = 4659.16, w2 = 4560.936, dw = -0.05953, nw = 1651 141024.0026.ec.fits: ap = 72, w1 = 4621.594, w2 = 4524.164, dw = -0.05905, nw = 1651 141024.0026.ec.fits: ap = 73, w1 = 4584.63, w2 = 4487.981, dw = -0.05857, nw = 1651 141024.0026.ec.fits: ap = 74, w1 = 4548.252, w2 = 4452.372, dw = -0.05811, nw = 1651 141024.0026.ec.fits: ap = 75, w1 = 4512.447, w2 = 4417.324, dw = -0.05765, nw = 1651 141024.0026.ec.fits: ap = 76, w1 = 4477.201, w2 = 4382.824, dw = -0.0572, nw = 1651 141024.0026.ec.fits: ap = 77, w1 = 4442.502, w2 = 4348.858, dw = -0.05675, nw = 1651 141024.0026.ec.fits: ap = 78, w1 = 4408.337, w2 = 4315.416, dw = -0.05632, nw = 1651 141024.0026.ec.fits: ap = 79, w1 = 4374.693, w2 = 4282.484, dw = -0.05588, nw = 1651 141024.0026.ec.fits: ap = 80, w1 = 4341.559, w2 = 4250.051, dw = -0.05546, nw = 1651 141024.0026.ec.fits: ap = 81, w1 = 4308.924, w2 = 4218.106, dw = -0.05504, nw = 1651 141024.0026.ec.fits: ap = 82, w1 = 4276.775, w2 = 4186.639, dw = -0.05463, nw = 1651 141024.0026.ec.fits: ap = 83, w1 = 4245.103, w2 = 4155.637, dw = -0.05422, nw = 1651 141024.0026.ec.fits: ap = 84, w1 = 4213.897, w2 = 4125.091, dw = -0.05382, nw = 1651 141024.0026.ec.fits: ap = 85, w1 = 4183.146, w2 = 4094.992, dw = -0.05343, nw = 1651 141024.0026.ec.fits: ap = 86, w1 = 4152.84, w2 = 4065.329, dw = -0.05304, nw = 1651 141024.0026.ec.fits: ap = 87, w1 = 4122.971, w2 = 4036.093, dw = -0.05265, nw = 1651 141024.0026.ec.fits: ap = 88, w1 = 4093.528, w2 = 4007.275, dw = -0.05228, nw = 1651 141024.0026.ec.fits: ap = 89, w1 = 4064.503, w2 = 3978.865, dw = -0.0519, nw = 1651 141024.0026.ec.fits: ap = 90, w1 = 4035.887, w2 = 3950.856, dw = -0.05153, nw = 1651 141024.0026.ec.fits: ap = 91, w1 = 4007.671, w2 = 3923.239, dw = -0.05117, nw = 1651 141024.0026.ec.fits: ap = 92, w1 = 3979.846, w2 = 3896.006, dw = -0.05081, nw = 1651 141024.0026.ec.fits: ap = 93, w1 = 3952.406, w2 = 3869.148, dw = -0.05046, nw = 1651 141024.0026.ec.fits: ap = 94, w1 = 3925.341, w2 = 3842.659, dw = -0.05011, nw = 1651 141024.0026.ec.fits: ap = 95, w1 = 3898.644, w2 = 3816.53, dw = -0.04977, nw = 1651 141024.0026.ec.fits: ap = 96, w1 = 3872.308, w2 = 3790.754, dw = -0.04943, nw = 1651 141024.0026.ec.fits: ap = 97, w1 = 3846.326, w2 = 3765.325, dw = -0.04909, nw = 1651 141024.0026.ec.fits: ap = 98, w1 = 3820.689, w2 = 3740.235, dw = -0.04876, nw = 1651 141024.0026.ec.fits: ap = 99, w1 = 3795.392, w2 = 3715.477, dw = -0.04843, nw = 1651 141024.0026.ec.fits: ap = 100, w1 = 3770.428, w2 = 3691.045, dw = -0.04811, nw = 1651 141024.0026.ec.fits: ap = 101, w1 = 3745.79, w2 = 3666.933, dw = -0.04779, nw = 1651 141024.0026.ec.fits: ap = 102, w1 = 3721.472, w2 = 3643.134, dw = -0.04748, nw = 1651 141024.0026.ec.fits: ap = 103, w1 = 3697.467, w2 = 3619.643, dw = -0.04717, nw = 1651 141024.0026.ec.fits: ap = 104, w1 = 3673.77, w2 = 3596.452, dw = -0.04686, nw = 1651 141024.0026.ec.fits: ap = 105, w1 = 3650.375, w2 = 3573.558, dw = -0.04656, nw = 1651 141024.0026.ec.fits: ap = 106, w1 = 3627.276, w2 = 3550.953, dw = -0.04626, nw = 1651 141024.0026.ec.fits: ap = 107, w1 = 3604.467, w2 = 3528.633, dw = -0.04596, nw = 1651 141024.0026.ec.fits: ap = 108, w1 = 3581.943, w2 = 3506.593, dw = -0.04567, nw = 1651 141024.0026.ec.fits: ap = 109, w1 = 3559.698, w2 = 3484.826, dw = -0.04538, nw = 1651 141024.0026.ec.fits: ap = 110, w1 = 3537.728, w2 = 3463.328, dw = -0.04509, nw = 1651 141024.0026.ec.fits: ap = 111, w1 = 3516.028, w2 = 3442.094, dw = -0.04481, nw = 1651 141024.0026.ec.fits: ap = 112, w1 = 3494.591, w2 = 3421.119, dw = -0.04453, nw = 1651 141024.0026.ec.fits: ap = 113, w1 = 3473.415, w2 = 3400.399, dw = -0.04425, nw = 1651 141024.0026.ec.fits: ap = 114, w1 = 3452.493, w2 = 3379.929, dw = -0.04398, nw = 1651 141024.0026.ec.fits: ap = 115, w1 = 3431.821, w2 = 3359.704, dw = -0.04371, nw = 1651 141024.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0025.ec 0.53505152' 141024.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.46494848' 141024.0027.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.51, dw = -0.13828, nw = 1651 141024.0027.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.54, dw = -0.13571, nw = 1651 141024.0027.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.69, dw = -0.13325, nw = 1651 141024.0027.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.59, dw = -0.13087, nw = 1651 141024.0027.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.883, dw = -0.12857, nw = 1651 141024.0027.ec.fits: ap = 6, w1 = 9879.717, w2 = 9671.231, dw = -0.12636, nw = 1651 141024.0027.ec.fits: ap = 7, w1 = 9712.281, w2 = 9507.329, dw = -0.12421, nw = 1651 141024.0027.ec.fits: ap = 8, w1 = 9550.426, w2 = 9348.891, dw = -0.12214, nw = 1651 141024.0027.ec.fits: ap = 9, w1 = 9393.876, w2 = 9195.647, dw = -0.12014, nw = 1651 141024.0027.ec.fits: ap = 10, w1 = 9242.377, w2 = 9047.346, dw = -0.1182, nw = 1651 141024.0027.ec.fits: ap = 11, w1 = 9095.686, w2 = 8903.753, dw = -0.11632, nw = 1651 141024.0027.ec.fits: ap = 12, w1 = 8953.579, w2 = 8764.647, dw = -0.1145, nw = 1651 141024.0027.ec.fits: ap = 13, w1 = 8815.845, w2 = 8629.822, dw = -0.11274, nw = 1651 141024.0027.ec.fits: ap = 14, w1 = 8682.284, w2 = 8499.082, dw = -0.11103, nw = 1651 141024.0027.ec.fits: ap = 15, w1 = 8552.71, w2 = 8372.244, dw = -0.10937, nw = 1651 141024.0027.ec.fits: ap = 16, w1 = 8426.947, w2 = 8249.137, dw = -0.10776, nw = 1651 141024.0027.ec.fits: ap = 17, w1 = 8304.828, w2 = 8129.597, dw = -0.1062, nw = 1651 141024.0027.ec.fits: ap = 18, w1 = 8186.199, w2 = 8013.474, dw = -0.10468, nw = 1651 141024.0027.ec.fits: ap = 19, w1 = 8070.911, w2 = 7900.621, dw = -0.10321, nw = 1651 141024.0027.ec.fits: ap = 20, w1 = 7958.825, w2 = 7790.903, dw = -0.10177, nw = 1651 141024.0027.ec.fits: ap = 21, w1 = 7849.81, w2 = 7684.191, dw = -0.10038, nw = 1651 141024.0027.ec.fits: ap = 22, w1 = 7743.741, w2 = 7580.363, dw = -0.09902, nw = 1651 141024.0027.ec.fits: ap = 23, w1 = 7640.501, w2 = 7479.303, dw = -0.0977, nw = 1651 141024.0027.ec.fits: ap = 24, w1 = 7539.978, w2 = 7380.903, dw = -0.09641, nw = 1651 141024.0027.ec.fits: ap = 25, w1 = 7442.065, w2 = 7285.059, dw = -0.09515, nw = 1651 141024.0027.ec.fits: ap = 26, w1 = 7346.663, w2 = 7191.673, dw = -0.09393, nw = 1651 141024.0027.ec.fits: ap = 27, w1 = 7253.676, w2 = 7100.65, dw = -0.09274, nw = 1651 141024.0027.ec.fits: ap = 28, w1 = 7163.014, w2 = 7011.903, dw = -0.09158, nw = 1651 141024.0027.ec.fits: ap = 29, w1 = 7074.59, w2 = 6925.348, dw = -0.09045, nw = 1651 141024.0027.ec.fits: ap = 30, w1 = 6988.323, w2 = 6840.903, dw = -0.08935, nw = 1651 141024.0027.ec.fits: ap = 31, w1 = 6904.135, w2 = 6758.493, dw = -0.08827, nw = 1651 141024.0027.ec.fits: ap = 32, w1 = 6821.951, w2 = 6678.046, dw = -0.08722, nw = 1651 141024.0027.ec.fits: ap = 33, w1 = 6741.701, w2 = 6599.491, dw = -0.08619, nw = 1651 141024.0027.ec.fits: ap = 34, w1 = 6663.318, w2 = 6522.763, dw = -0.08518, nw = 1651 141024.0027.ec.fits: ap = 35, w1 = 6586.736, w2 = 6447.799, dw = -0.0842, nw = 1651 141024.0027.ec.fits: ap = 36, w1 = 6511.895, w2 = 6374.539, dw = -0.08325, nw = 1651 141024.0027.ec.fits: ap = 37, w1 = 6438.736, w2 = 6302.925, dw = -0.08231, nw = 1651 141024.0027.ec.fits: ap = 38, w1 = 6367.202, w2 = 6232.903, dw = -0.08139, nw = 1651 141024.0027.ec.fits: ap = 39, w1 = 6297.241, w2 = 6164.419, dw = -0.0805, nw = 1651 141024.0027.ec.fits: ap = 40, w1 = 6228.801, w2 = 6097.424, dw = -0.07962, nw = 1651 141024.0027.ec.fits: ap = 41, w1 = 6161.832, w2 = 6031.871, dw = -0.07876, nw = 1651 141024.0027.ec.fits: ap = 42, w1 = 6096.289, w2 = 5967.711, dw = -0.07793, nw = 1651 141024.0027.ec.fits: ap = 43, w1 = 6032.125, w2 = 5904.903, dw = -0.0771, nw = 1651 141024.0027.ec.fits: ap = 44, w1 = 5969.299, w2 = 5843.403, dw = -0.0763, nw = 1651 141024.0027.ec.fits: ap = 45, w1 = 5907.767, w2 = 5783.172, dw = -0.07551, nw = 1651 141024.0027.ec.fits: ap = 46, w1 = 5847.492, w2 = 5724.169, dw = -0.07474, nw = 1651 141024.0027.ec.fits: ap = 47, w1 = 5788.434, w2 = 5666.359, dw = -0.07399, nw = 1651 141024.0027.ec.fits: ap = 48, w1 = 5730.558, w2 = 5609.705, dw = -0.07324, nw = 1651 141024.0027.ec.fits: ap = 49, w1 = 5673.828, w2 = 5554.173, dw = -0.07252, nw = 1651 141024.0027.ec.fits: ap = 50, w1 = 5618.21, w2 = 5499.729, dw = -0.07181, nw = 1651 141024.0027.ec.fits: ap = 51, w1 = 5563.673, w2 = 5446.343, dw = -0.07111, nw = 1651 141024.0027.ec.fits: ap = 52, w1 = 5510.184, w2 = 5393.984, dw = -0.07042, nw = 1651 141024.0027.ec.fits: ap = 53, w1 = 5457.714, w2 = 5342.622, dw = -0.06975, nw = 1651 141024.0027.ec.fits: ap = 54, w1 = 5406.234, w2 = 5292.23, dw = -0.06909, nw = 1651 141024.0027.ec.fits: ap = 55, w1 = 5355.717, w2 = 5242.779, dw = -0.06845, nw = 1651 141024.0027.ec.fits: ap = 56, w1 = 5306.135, w2 = 5194.244, dw = -0.06781, nw = 1651 141024.0027.ec.fits: ap = 57, w1 = 5257.463, w2 = 5146.6, dw = -0.06719, nw = 1651 141024.0027.ec.fits: ap = 58, w1 = 5209.676, w2 = 5099.822, dw = -0.06658, nw = 1651 141024.0027.ec.fits: ap = 59, w1 = 5162.75, w2 = 5053.887, dw = -0.06598, nw = 1651 141024.0027.ec.fits: ap = 60, w1 = 5116.662, w2 = 5008.772, dw = -0.06539, nw = 1651 141024.0027.ec.fits: ap = 61, w1 = 5071.39, w2 = 4964.456, dw = -0.06481, nw = 1651 141024.0027.ec.fits: ap = 62, w1 = 5026.912, w2 = 4920.918, dw = -0.06424, nw = 1651 141024.0027.ec.fits: ap = 63, w1 = 4983.208, w2 = 4878.137, dw = -0.06368, nw = 1651 141024.0027.ec.fits: ap = 64, w1 = 4940.257, w2 = 4836.093, dw = -0.06313, nw = 1651 141024.0027.ec.fits: ap = 65, w1 = 4898.041, w2 = 4794.769, dw = -0.06259, nw = 1651 141024.0027.ec.fits: ap = 66, w1 = 4856.54, w2 = 4754.145, dw = -0.06206, nw = 1651 141024.0027.ec.fits: ap = 67, w1 = 4815.737, w2 = 4714.203, dw = -0.06154, nw = 1651 141024.0027.ec.fits: ap = 68, w1 = 4775.614, w2 = 4674.928, dw = -0.06102, nw = 1651 141024.0027.ec.fits: ap = 69, w1 = 4736.154, w2 = 4636.302, dw = -0.06052, nw = 1651 141024.0027.ec.fits: ap = 70, w1 = 4697.341, w2 = 4598.309, dw = -0.06002, nw = 1651 141024.0027.ec.fits: ap = 71, w1 = 4659.159, w2 = 4560.934, dw = -0.05953, nw = 1651 141024.0027.ec.fits: ap = 72, w1 = 4621.593, w2 = 4524.162, dw = -0.05905, nw = 1651 141024.0027.ec.fits: ap = 73, w1 = 4584.628, w2 = 4487.978, dw = -0.05858, nw = 1651 141024.0027.ec.fits: ap = 74, w1 = 4548.249, w2 = 4452.369, dw = -0.05811, nw = 1651 141024.0027.ec.fits: ap = 75, w1 = 4512.444, w2 = 4417.321, dw = -0.05765, nw = 1651 141024.0027.ec.fits: ap = 76, w1 = 4477.198, w2 = 4382.82, dw = -0.0572, nw = 1651 141024.0027.ec.fits: ap = 77, w1 = 4442.499, w2 = 4348.855, dw = -0.05675, nw = 1651 141024.0027.ec.fits: ap = 78, w1 = 4408.333, w2 = 4315.412, dw = -0.05632, nw = 1651 141024.0027.ec.fits: ap = 79, w1 = 4374.689, w2 = 4282.48, dw = -0.05588, nw = 1651 141024.0027.ec.fits: ap = 80, w1 = 4341.555, w2 = 4250.047, dw = -0.05546, nw = 1651 141024.0027.ec.fits: ap = 81, w1 = 4308.919, w2 = 4218.102, dw = -0.05504, nw = 1651 141024.0027.ec.fits: ap = 82, w1 = 4276.77, w2 = 4186.633, dw = -0.05463, nw = 1651 141024.0027.ec.fits: ap = 83, w1 = 4245.097, w2 = 4155.631, dw = -0.05422, nw = 1651 141024.0027.ec.fits: ap = 84, w1 = 4213.89, w2 = 4125.086, dw = -0.05382, nw = 1651 141024.0027.ec.fits: ap = 85, w1 = 4183.138, w2 = 4094.986, dw = -0.05343, nw = 1651 141024.0027.ec.fits: ap = 86, w1 = 4152.832, w2 = 4065.322, dw = -0.05304, nw = 1651 141024.0027.ec.fits: ap = 87, w1 = 4122.962, w2 = 4036.085, dw = -0.05265, nw = 1651 141024.0027.ec.fits: ap = 88, w1 = 4093.518, w2 = 4007.267, dw = -0.05227, nw = 1651 141024.0027.ec.fits: ap = 89, w1 = 4064.493, w2 = 3978.857, dw = -0.0519, nw = 1651 141024.0027.ec.fits: ap = 90, w1 = 4035.875, w2 = 3950.847, dw = -0.05153, nw = 1651 141024.0027.ec.fits: ap = 91, w1 = 4007.658, w2 = 3923.229, dw = -0.05117, nw = 1651 141024.0027.ec.fits: ap = 92, w1 = 3979.833, w2 = 3895.995, dw = -0.05081, nw = 1651 141024.0027.ec.fits: ap = 93, w1 = 3952.391, w2 = 3869.137, dw = -0.05046, nw = 1651 141024.0027.ec.fits: ap = 94, w1 = 3925.325, w2 = 3842.647, dw = -0.05011, nw = 1651 141024.0027.ec.fits: ap = 95, w1 = 3898.627, w2 = 3816.517, dw = -0.04976, nw = 1651 141024.0027.ec.fits: ap = 96, w1 = 3872.29, w2 = 3790.74, dw = -0.04942, nw = 1651 141024.0027.ec.fits: ap = 97, w1 = 3846.306, w2 = 3765.31, dw = -0.04909, nw = 1651 141024.0027.ec.fits: ap = 98, w1 = 3820.668, w2 = 3740.219, dw = -0.04876, nw = 1651 141024.0027.ec.fits: ap = 99, w1 = 3795.37, w2 = 3715.46, dw = -0.04843, nw = 1651 141024.0027.ec.fits: ap = 100, w1 = 3770.404, w2 = 3691.027, dw = -0.04811, nw = 1651 141024.0027.ec.fits: ap = 101, w1 = 3745.765, w2 = 3666.914, dw = -0.04779, nw = 1651 141024.0027.ec.fits: ap = 102, w1 = 3721.445, w2 = 3643.114, dw = -0.04747, nw = 1651 141024.0027.ec.fits: ap = 103, w1 = 3697.439, w2 = 3619.621, dw = -0.04716, nw = 1651 141024.0027.ec.fits: ap = 104, w1 = 3673.74, w2 = 3596.429, dw = -0.04686, nw = 1651 141024.0027.ec.fits: ap = 105, w1 = 3650.343, w2 = 3573.534, dw = -0.04655, nw = 1651 141024.0027.ec.fits: ap = 106, w1 = 3627.242, w2 = 3550.927, dw = -0.04625, nw = 1651 141024.0027.ec.fits: ap = 107, w1 = 3604.431, w2 = 3528.606, dw = -0.04595, nw = 1651 141024.0027.ec.fits: ap = 108, w1 = 3581.905, w2 = 3506.564, dw = -0.04566, nw = 1651 141024.0027.ec.fits: ap = 109, w1 = 3559.658, w2 = 3484.795, dw = -0.04537, nw = 1651 141024.0027.ec.fits: ap = 110, w1 = 3537.686, w2 = 3463.296, dw = -0.04509, nw = 1651 141024.0027.ec.fits: ap = 111, w1 = 3515.983, w2 = 3442.06, dw = -0.0448, nw = 1651 141024.0027.ec.fits: ap = 112, w1 = 3494.545, w2 = 3421.083, dw = -0.04452, nw = 1651 141024.0027.ec.fits: ap = 113, w1 = 3473.366, w2 = 3400.361, dw = -0.04425, nw = 1651 141024.0027.ec.fits: ap = 114, w1 = 3452.441, w2 = 3379.889, dw = -0.04397, nw = 1651 141024.0027.ec.fits: ap = 115, w1 = 3431.767, w2 = 3359.662, dw = -0.0437, nw = 1651 141024.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0025.ec 0.18407075' 141024.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.81592923' 141024.0028.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.5, dw = -0.13828, nw = 1651 141024.0028.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.53, dw = -0.13572, nw = 1651 141024.0028.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.69, dw = -0.13325, nw = 1651 141024.0028.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.59, dw = -0.13087, nw = 1651 141024.0028.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.878, dw = -0.12858, nw = 1651 141024.0028.ec.fits: ap = 6, w1 = 9879.719, w2 = 9671.227, dw = -0.12636, nw = 1651 141024.0028.ec.fits: ap = 7, w1 = 9712.283, w2 = 9507.326, dw = -0.12422, nw = 1651 141024.0028.ec.fits: ap = 8, w1 = 9550.428, w2 = 9348.888, dw = -0.12215, nw = 1651 141024.0028.ec.fits: ap = 9, w1 = 9393.879, w2 = 9195.644, dw = -0.12014, nw = 1651 141024.0028.ec.fits: ap = 10, w1 = 9242.38, w2 = 9047.344, dw = -0.1182, nw = 1651 141024.0028.ec.fits: ap = 11, w1 = 9095.689, w2 = 8903.751, dw = -0.11633, nw = 1651 141024.0028.ec.fits: ap = 12, w1 = 8953.582, w2 = 8764.645, dw = -0.11451, nw = 1651 141024.0028.ec.fits: ap = 13, w1 = 8815.848, w2 = 8629.82, dw = -0.11274, nw = 1651 141024.0028.ec.fits: ap = 14, w1 = 8682.287, w2 = 8499.08, dw = -0.11103, nw = 1651 141024.0028.ec.fits: ap = 15, w1 = 8552.713, w2 = 8372.242, dw = -0.10938, nw = 1651 141024.0028.ec.fits: ap = 16, w1 = 8426.949, w2 = 8249.135, dw = -0.10777, nw = 1651 141024.0028.ec.fits: ap = 17, w1 = 8304.831, w2 = 8129.596, dw = -0.1062, nw = 1651 141024.0028.ec.fits: ap = 18, w1 = 8186.201, w2 = 8013.472, dw = -0.10468, nw = 1651 141024.0028.ec.fits: ap = 19, w1 = 8070.913, w2 = 7900.62, dw = -0.10321, nw = 1651 141024.0028.ec.fits: ap = 20, w1 = 7958.827, w2 = 7790.902, dw = -0.10177, nw = 1651 141024.0028.ec.fits: ap = 21, w1 = 7849.812, w2 = 7684.189, dw = -0.10038, nw = 1651 141024.0028.ec.fits: ap = 22, w1 = 7743.743, w2 = 7580.361, dw = -0.09902, nw = 1651 141024.0028.ec.fits: ap = 23, w1 = 7640.503, w2 = 7479.302, dw = -0.0977, nw = 1651 141024.0028.ec.fits: ap = 24, w1 = 7539.979, w2 = 7380.902, dw = -0.09641, nw = 1651 141024.0028.ec.fits: ap = 25, w1 = 7442.066, w2 = 7285.058, dw = -0.09516, nw = 1651 141024.0028.ec.fits: ap = 26, w1 = 7346.664, w2 = 7191.671, dw = -0.09394, nw = 1651 141024.0028.ec.fits: ap = 27, w1 = 7253.677, w2 = 7100.648, dw = -0.09274, nw = 1651 141024.0028.ec.fits: ap = 28, w1 = 7163.015, w2 = 7011.901, dw = -0.09158, nw = 1651 141024.0028.ec.fits: ap = 29, w1 = 7074.591, w2 = 6925.346, dw = -0.09045, nw = 1651 141024.0028.ec.fits: ap = 30, w1 = 6988.324, w2 = 6840.901, dw = -0.08935, nw = 1651 141024.0028.ec.fits: ap = 31, w1 = 6904.136, w2 = 6758.491, dw = -0.08827, nw = 1651 141024.0028.ec.fits: ap = 32, w1 = 6821.952, w2 = 6678.044, dw = -0.08722, nw = 1651 141024.0028.ec.fits: ap = 33, w1 = 6741.702, w2 = 6599.489, dw = -0.08619, nw = 1651 141024.0028.ec.fits: ap = 34, w1 = 6663.318, w2 = 6522.761, dw = -0.08519, nw = 1651 141024.0028.ec.fits: ap = 35, w1 = 6586.736, w2 = 6447.797, dw = -0.08421, nw = 1651 141024.0028.ec.fits: ap = 36, w1 = 6511.895, w2 = 6374.536, dw = -0.08325, nw = 1651 141024.0028.ec.fits: ap = 37, w1 = 6438.736, w2 = 6302.923, dw = -0.08231, nw = 1651 141024.0028.ec.fits: ap = 38, w1 = 6367.202, w2 = 6232.9, dw = -0.0814, nw = 1651 141024.0028.ec.fits: ap = 39, w1 = 6297.241, w2 = 6164.416, dw = -0.0805, nw = 1651 141024.0028.ec.fits: ap = 40, w1 = 6228.801, w2 = 6097.422, dw = -0.07962, nw = 1651 141024.0028.ec.fits: ap = 41, w1 = 6161.832, w2 = 6031.868, dw = -0.07877, nw = 1651 141024.0028.ec.fits: ap = 42, w1 = 6096.289, w2 = 5967.709, dw = -0.07793, nw = 1651 141024.0028.ec.fits: ap = 43, w1 = 6032.125, w2 = 5904.9, dw = -0.07711, nw = 1651 141024.0028.ec.fits: ap = 44, w1 = 5969.299, w2 = 5843.401, dw = -0.0763, nw = 1651 141024.0028.ec.fits: ap = 45, w1 = 5907.768, w2 = 5783.169, dw = -0.07551, nw = 1651 141024.0028.ec.fits: ap = 46, w1 = 5847.492, w2 = 5724.167, dw = -0.07474, nw = 1651 141024.0028.ec.fits: ap = 47, w1 = 5788.435, w2 = 5666.356, dw = -0.07399, nw = 1651 141024.0028.ec.fits: ap = 48, w1 = 5730.558, w2 = 5609.702, dw = -0.07325, nw = 1651 141024.0028.ec.fits: ap = 49, w1 = 5673.828, w2 = 5554.17, dw = -0.07252, nw = 1651 141024.0028.ec.fits: ap = 50, w1 = 5618.21, w2 = 5499.727, dw = -0.07181, nw = 1651 141024.0028.ec.fits: ap = 51, w1 = 5563.673, w2 = 5446.341, dw = -0.07111, nw = 1651 141024.0028.ec.fits: ap = 52, w1 = 5510.184, w2 = 5393.982, dw = -0.07043, nw = 1651 141024.0028.ec.fits: ap = 53, w1 = 5457.714, w2 = 5342.62, dw = -0.06975, nw = 1651 141024.0028.ec.fits: ap = 54, w1 = 5406.234, w2 = 5292.227, dw = -0.0691, nw = 1651 141024.0028.ec.fits: ap = 55, w1 = 5355.717, w2 = 5242.776, dw = -0.06845, nw = 1651 141024.0028.ec.fits: ap = 56, w1 = 5306.135, w2 = 5194.242, dw = -0.06781, nw = 1651 141024.0028.ec.fits: ap = 57, w1 = 5257.463, w2 = 5146.597, dw = -0.06719, nw = 1651 141024.0028.ec.fits: ap = 58, w1 = 5209.676, w2 = 5099.82, dw = -0.06658, nw = 1651 141024.0028.ec.fits: ap = 59, w1 = 5162.75, w2 = 5053.885, dw = -0.06598, nw = 1651 141024.0028.ec.fits: ap = 60, w1 = 5116.662, w2 = 5008.77, dw = -0.06539, nw = 1651 141024.0028.ec.fits: ap = 61, w1 = 5071.39, w2 = 4964.454, dw = -0.06481, nw = 1651 141024.0028.ec.fits: ap = 62, w1 = 5026.912, w2 = 4920.916, dw = -0.06424, nw = 1651 141024.0028.ec.fits: ap = 63, w1 = 4983.208, w2 = 4878.134, dw = -0.06368, nw = 1651 141024.0028.ec.fits: ap = 64, w1 = 4940.257, w2 = 4836.091, dw = -0.06313, nw = 1651 141024.0028.ec.fits: ap = 65, w1 = 4898.04, w2 = 4794.766, dw = -0.06259, nw = 1651 141024.0028.ec.fits: ap = 66, w1 = 4856.539, w2 = 4754.142, dw = -0.06206, nw = 1651 141024.0028.ec.fits: ap = 67, w1 = 4815.736, w2 = 4714.201, dw = -0.06154, nw = 1651 141024.0028.ec.fits: ap = 68, w1 = 4775.613, w2 = 4674.925, dw = -0.06102, nw = 1651 141024.0028.ec.fits: ap = 69, w1 = 4736.153, w2 = 4636.299, dw = -0.06052, nw = 1651 141024.0028.ec.fits: ap = 70, w1 = 4697.339, w2 = 4598.306, dw = -0.06002, nw = 1651 141024.0028.ec.fits: ap = 71, w1 = 4659.157, w2 = 4560.931, dw = -0.05953, nw = 1651 141024.0028.ec.fits: ap = 72, w1 = 4621.591, w2 = 4524.159, dw = -0.05905, nw = 1651 141024.0028.ec.fits: ap = 73, w1 = 4584.626, w2 = 4487.975, dw = -0.05858, nw = 1651 141024.0028.ec.fits: ap = 74, w1 = 4548.247, w2 = 4452.366, dw = -0.05811, nw = 1651 141024.0028.ec.fits: ap = 75, w1 = 4512.441, w2 = 4417.317, dw = -0.05765, nw = 1651 141024.0028.ec.fits: ap = 76, w1 = 4477.195, w2 = 4382.817, dw = -0.0572, nw = 1651 141024.0028.ec.fits: ap = 77, w1 = 4442.495, w2 = 4348.851, dw = -0.05675, nw = 1651 141024.0028.ec.fits: ap = 78, w1 = 4408.329, w2 = 4315.408, dw = -0.05632, nw = 1651 141024.0028.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.475, dw = -0.05588, nw = 1651 141024.0028.ec.fits: ap = 80, w1 = 4341.55, w2 = 4250.042, dw = -0.05546, nw = 1651 141024.0028.ec.fits: ap = 81, w1 = 4308.913, w2 = 4218.096, dw = -0.05504, nw = 1651 141024.0028.ec.fits: ap = 82, w1 = 4276.763, w2 = 4186.628, dw = -0.05463, nw = 1651 141024.0028.ec.fits: ap = 83, w1 = 4245.09, w2 = 4155.625, dw = -0.05422, nw = 1651 141024.0028.ec.fits: ap = 84, w1 = 4213.882, w2 = 4125.079, dw = -0.05382, nw = 1651 141024.0028.ec.fits: ap = 85, w1 = 4183.129, w2 = 4094.978, dw = -0.05342, nw = 1651 141024.0028.ec.fits: ap = 86, w1 = 4152.822, w2 = 4065.314, dw = -0.05304, nw = 1651 141024.0028.ec.fits: ap = 87, w1 = 4122.952, w2 = 4036.077, dw = -0.05265, nw = 1651 141024.0028.ec.fits: ap = 88, w1 = 4093.507, w2 = 4007.258, dw = -0.05227, nw = 1651 141024.0028.ec.fits: ap = 89, w1 = 4064.48, w2 = 3978.847, dw = -0.0519, nw = 1651 141024.0028.ec.fits: ap = 90, w1 = 4035.862, w2 = 3950.837, dw = -0.05153, nw = 1651 141024.0028.ec.fits: ap = 91, w1 = 4007.644, w2 = 3923.218, dw = -0.05117, nw = 1651 141024.0028.ec.fits: ap = 92, w1 = 3979.817, w2 = 3895.983, dw = -0.05081, nw = 1651 141024.0028.ec.fits: ap = 93, w1 = 3952.374, w2 = 3869.124, dw = -0.05045, nw = 1651 141024.0028.ec.fits: ap = 94, w1 = 3925.307, w2 = 3842.633, dw = -0.05011, nw = 1651 141024.0028.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.502, dw = -0.04976, nw = 1651 141024.0028.ec.fits: ap = 96, w1 = 3872.269, w2 = 3790.724, dw = -0.04942, nw = 1651 141024.0028.ec.fits: ap = 97, w1 = 3846.284, w2 = 3765.293, dw = -0.04909, nw = 1651 141024.0028.ec.fits: ap = 98, w1 = 3820.645, w2 = 3740.201, dw = -0.04875, nw = 1651 141024.0028.ec.fits: ap = 99, w1 = 3795.345, w2 = 3715.441, dw = -0.04843, nw = 1651 141024.0028.ec.fits: ap = 100, w1 = 3770.377, w2 = 3691.006, dw = -0.0481, nw = 1651 141024.0028.ec.fits: ap = 101, w1 = 3745.736, w2 = 3666.892, dw = -0.04778, nw = 1651 141024.0028.ec.fits: ap = 102, w1 = 3721.414, w2 = 3643.09, dw = -0.04747, nw = 1651 141024.0028.ec.fits: ap = 103, w1 = 3697.406, w2 = 3619.596, dw = -0.04716, nw = 1651 141024.0028.ec.fits: ap = 104, w1 = 3673.706, w2 = 3596.403, dw = -0.04685, nw = 1651 141024.0028.ec.fits: ap = 105, w1 = 3650.306, w2 = 3573.505, dw = -0.04655, nw = 1651 141024.0028.ec.fits: ap = 106, w1 = 3627.203, w2 = 3550.898, dw = -0.04625, nw = 1651 141024.0028.ec.fits: ap = 107, w1 = 3604.39, w2 = 3528.574, dw = -0.04595, nw = 1651 141024.0028.ec.fits: ap = 108, w1 = 3581.861, w2 = 3506.53, dw = -0.04566, nw = 1651 141024.0028.ec.fits: ap = 109, w1 = 3559.613, w2 = 3484.76, dw = -0.04537, nw = 1651 141024.0028.ec.fits: ap = 110, w1 = 3537.638, w2 = 3463.258, dw = -0.04508, nw = 1651 141024.0028.ec.fits: ap = 111, w1 = 3515.932, w2 = 3442.021, dw = -0.04479, nw = 1651 141024.0028.ec.fits: ap = 112, w1 = 3494.491, w2 = 3421.042, dw = -0.04451, nw = 1651 141024.0028.ec.fits: ap = 113, w1 = 3473.309, w2 = 3400.317, dw = -0.04424, nw = 1651 141024.0028.ec.fits: ap = 114, w1 = 3452.382, w2 = 3379.843, dw = -0.04396, nw = 1651 141024.0028.ec.fits: ap = 115, w1 = 3431.705, w2 = 3359.613, dw = -0.04369, nw = 1651 141024.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.86451292' 141024.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.13548705' 141024.0030.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.5, dw = -0.13828, nw = 1651 141024.0030.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.53, dw = -0.13572, nw = 1651 141024.0030.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.68, dw = -0.13325, nw = 1651 141024.0030.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.58, dw = -0.13087, nw = 1651 141024.0030.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.874, dw = -0.12858, nw = 1651 141024.0030.ec.fits: ap = 6, w1 = 9879.715, w2 = 9671.222, dw = -0.12636, nw = 1651 141024.0030.ec.fits: ap = 7, w1 = 9712.279, w2 = 9507.321, dw = -0.12422, nw = 1651 141024.0030.ec.fits: ap = 8, w1 = 9550.424, w2 = 9348.883, dw = -0.12215, nw = 1651 141024.0030.ec.fits: ap = 9, w1 = 9393.874, w2 = 9195.64, dw = -0.12014, nw = 1651 141024.0030.ec.fits: ap = 10, w1 = 9242.375, w2 = 9047.339, dw = -0.1182, nw = 1651 141024.0030.ec.fits: ap = 11, w1 = 9095.684, w2 = 8903.747, dw = -0.11633, nw = 1651 141024.0030.ec.fits: ap = 12, w1 = 8953.578, w2 = 8764.641, dw = -0.11451, nw = 1651 141024.0030.ec.fits: ap = 13, w1 = 8815.843, w2 = 8629.816, dw = -0.11274, nw = 1651 141024.0030.ec.fits: ap = 14, w1 = 8682.282, w2 = 8499.075, dw = -0.11103, nw = 1651 141024.0030.ec.fits: ap = 15, w1 = 8552.707, w2 = 8372.237, dw = -0.10938, nw = 1651 141024.0030.ec.fits: ap = 16, w1 = 8426.943, w2 = 8249.129, dw = -0.10777, nw = 1651 141024.0030.ec.fits: ap = 17, w1 = 8304.825, w2 = 8129.591, dw = -0.1062, nw = 1651 141024.0030.ec.fits: ap = 18, w1 = 8186.196, w2 = 8013.467, dw = -0.10468, nw = 1651 141024.0030.ec.fits: ap = 19, w1 = 8070.908, w2 = 7900.614, dw = -0.10321, nw = 1651 141024.0030.ec.fits: ap = 20, w1 = 7958.822, w2 = 7790.896, dw = -0.10177, nw = 1651 141024.0030.ec.fits: ap = 21, w1 = 7849.807, w2 = 7684.184, dw = -0.10038, nw = 1651 141024.0030.ec.fits: ap = 22, w1 = 7743.738, w2 = 7580.356, dw = -0.09902, nw = 1651 141024.0030.ec.fits: ap = 23, w1 = 7640.498, w2 = 7479.296, dw = -0.0977, nw = 1651 141024.0030.ec.fits: ap = 24, w1 = 7539.974, w2 = 7380.896, dw = -0.09641, nw = 1651 141024.0030.ec.fits: ap = 25, w1 = 7442.061, w2 = 7285.052, dw = -0.09516, nw = 1651 141024.0030.ec.fits: ap = 26, w1 = 7346.659, w2 = 7191.665, dw = -0.09394, nw = 1651 141024.0030.ec.fits: ap = 27, w1 = 7253.672, w2 = 7100.643, dw = -0.09275, nw = 1651 141024.0030.ec.fits: ap = 28, w1 = 7163.01, w2 = 7011.896, dw = -0.09158, nw = 1651 141024.0030.ec.fits: ap = 29, w1 = 7074.586, w2 = 6925.34, dw = -0.09045, nw = 1651 141024.0030.ec.fits: ap = 30, w1 = 6988.319, w2 = 6840.895, dw = -0.08935, nw = 1651 141024.0030.ec.fits: ap = 31, w1 = 6904.131, w2 = 6758.485, dw = -0.08827, nw = 1651 141024.0030.ec.fits: ap = 32, w1 = 6821.947, w2 = 6678.038, dw = -0.08722, nw = 1651 141024.0030.ec.fits: ap = 33, w1 = 6741.697, w2 = 6599.483, dw = -0.08619, nw = 1651 141024.0030.ec.fits: ap = 34, w1 = 6663.314, w2 = 6522.755, dw = -0.08519, nw = 1651 141024.0030.ec.fits: ap = 35, w1 = 6586.732, w2 = 6447.791, dw = -0.08421, nw = 1651 141024.0030.ec.fits: ap = 36, w1 = 6511.891, w2 = 6374.531, dw = -0.08325, nw = 1651 141024.0030.ec.fits: ap = 37, w1 = 6438.732, w2 = 6302.917, dw = -0.08231, nw = 1651 141024.0030.ec.fits: ap = 38, w1 = 6367.198, w2 = 6232.894, dw = -0.0814, nw = 1651 141024.0030.ec.fits: ap = 39, w1 = 6297.237, w2 = 6164.411, dw = -0.0805, nw = 1651 141024.0030.ec.fits: ap = 40, w1 = 6228.797, w2 = 6097.416, dw = -0.07962, nw = 1651 141024.0030.ec.fits: ap = 41, w1 = 6161.829, w2 = 6031.862, dw = -0.07877, nw = 1651 141024.0030.ec.fits: ap = 42, w1 = 6096.285, w2 = 5967.703, dw = -0.07793, nw = 1651 141024.0030.ec.fits: ap = 43, w1 = 6032.122, w2 = 5904.895, dw = -0.07711, nw = 1651 141024.0030.ec.fits: ap = 44, w1 = 5969.295, w2 = 5843.395, dw = -0.0763, nw = 1651 141024.0030.ec.fits: ap = 45, w1 = 5907.764, w2 = 5783.164, dw = -0.07552, nw = 1651 141024.0030.ec.fits: ap = 46, w1 = 5847.489, w2 = 5724.161, dw = -0.07474, nw = 1651 141024.0030.ec.fits: ap = 47, w1 = 5788.431, w2 = 5666.351, dw = -0.07399, nw = 1651 141024.0030.ec.fits: ap = 48, w1 = 5730.555, w2 = 5609.697, dw = -0.07325, nw = 1651 141024.0030.ec.fits: ap = 49, w1 = 5673.825, w2 = 5554.165, dw = -0.07252, nw = 1651 141024.0030.ec.fits: ap = 50, w1 = 5618.207, w2 = 5499.722, dw = -0.07181, nw = 1651 141024.0030.ec.fits: ap = 51, w1 = 5563.67, w2 = 5446.336, dw = -0.07111, nw = 1651 141024.0030.ec.fits: ap = 52, w1 = 5510.181, w2 = 5393.977, dw = -0.07043, nw = 1651 141024.0030.ec.fits: ap = 53, w1 = 5457.711, w2 = 5342.615, dw = -0.06976, nw = 1651 141024.0030.ec.fits: ap = 54, w1 = 5406.231, w2 = 5292.222, dw = -0.0691, nw = 1651 141024.0030.ec.fits: ap = 55, w1 = 5355.714, w2 = 5242.772, dw = -0.06845, nw = 1651 141024.0030.ec.fits: ap = 56, w1 = 5306.132, w2 = 5194.237, dw = -0.06782, nw = 1651 141024.0030.ec.fits: ap = 57, w1 = 5257.46, w2 = 5146.593, dw = -0.06719, nw = 1651 141024.0030.ec.fits: ap = 58, w1 = 5209.673, w2 = 5099.815, dw = -0.06658, nw = 1651 141024.0030.ec.fits: ap = 59, w1 = 5162.747, w2 = 5053.88, dw = -0.06598, nw = 1651 141024.0030.ec.fits: ap = 60, w1 = 5116.659, w2 = 5008.766, dw = -0.06539, nw = 1651 141024.0030.ec.fits: ap = 61, w1 = 5071.387, w2 = 4964.45, dw = -0.06481, nw = 1651 141024.0030.ec.fits: ap = 62, w1 = 5026.909, w2 = 4920.911, dw = -0.06424, nw = 1651 141024.0030.ec.fits: ap = 63, w1 = 4983.205, w2 = 4878.13, dw = -0.06368, nw = 1651 141024.0030.ec.fits: ap = 64, w1 = 4940.253, w2 = 4836.086, dw = -0.06313, nw = 1651 141024.0030.ec.fits: ap = 65, w1 = 4898.037, w2 = 4794.761, dw = -0.06259, nw = 1651 141024.0030.ec.fits: ap = 66, w1 = 4856.536, w2 = 4754.137, dw = -0.06206, nw = 1651 141024.0030.ec.fits: ap = 67, w1 = 4815.732, w2 = 4714.196, dw = -0.06154, nw = 1651 141024.0030.ec.fits: ap = 68, w1 = 4775.609, w2 = 4674.921, dw = -0.06102, nw = 1651 141024.0030.ec.fits: ap = 69, w1 = 4736.149, w2 = 4636.294, dw = -0.06052, nw = 1651 141024.0030.ec.fits: ap = 70, w1 = 4697.336, w2 = 4598.302, dw = -0.06002, nw = 1651 141024.0030.ec.fits: ap = 71, w1 = 4659.153, w2 = 4560.926, dw = -0.05953, nw = 1651 141024.0030.ec.fits: ap = 72, w1 = 4621.587, w2 = 4524.154, dw = -0.05905, nw = 1651 141024.0030.ec.fits: ap = 73, w1 = 4584.622, w2 = 4487.971, dw = -0.05858, nw = 1651 141024.0030.ec.fits: ap = 74, w1 = 4548.243, w2 = 4452.361, dw = -0.05811, nw = 1651 141024.0030.ec.fits: ap = 75, w1 = 4512.437, w2 = 4417.313, dw = -0.05765, nw = 1651 141024.0030.ec.fits: ap = 76, w1 = 4477.191, w2 = 4382.812, dw = -0.0572, nw = 1651 141024.0030.ec.fits: ap = 77, w1 = 4442.491, w2 = 4348.847, dw = -0.05675, nw = 1651 141024.0030.ec.fits: ap = 78, w1 = 4408.325, w2 = 4315.404, dw = -0.05632, nw = 1651 141024.0030.ec.fits: ap = 79, w1 = 4374.681, w2 = 4282.471, dw = -0.05588, nw = 1651 141024.0030.ec.fits: ap = 80, w1 = 4341.545, w2 = 4250.037, dw = -0.05546, nw = 1651 141024.0030.ec.fits: ap = 81, w1 = 4308.908, w2 = 4218.091, dw = -0.05504, nw = 1651 141024.0030.ec.fits: ap = 82, w1 = 4276.758, w2 = 4186.622, dw = -0.05463, nw = 1651 141024.0030.ec.fits: ap = 83, w1 = 4245.084, w2 = 4155.62, dw = -0.05422, nw = 1651 141024.0030.ec.fits: ap = 84, w1 = 4213.876, w2 = 4125.073, dw = -0.05382, nw = 1651 141024.0030.ec.fits: ap = 85, w1 = 4183.123, w2 = 4094.972, dw = -0.05342, nw = 1651 141024.0030.ec.fits: ap = 86, w1 = 4152.816, w2 = 4065.308, dw = -0.05304, nw = 1651 141024.0030.ec.fits: ap = 87, w1 = 4122.945, w2 = 4036.07, dw = -0.05265, nw = 1651 141024.0030.ec.fits: ap = 88, w1 = 4093.501, w2 = 4007.251, dw = -0.05227, nw = 1651 141024.0030.ec.fits: ap = 89, w1 = 4064.473, w2 = 3978.84, dw = -0.0519, nw = 1651 141024.0030.ec.fits: ap = 90, w1 = 4035.855, w2 = 3950.829, dw = -0.05153, nw = 1651 141024.0030.ec.fits: ap = 91, w1 = 4007.636, w2 = 3923.21, dw = -0.05117, nw = 1651 141024.0030.ec.fits: ap = 92, w1 = 3979.809, w2 = 3895.975, dw = -0.05081, nw = 1651 141024.0030.ec.fits: ap = 93, w1 = 3952.366, w2 = 3869.115, dw = -0.05046, nw = 1651 141024.0030.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.623, dw = -0.05011, nw = 1651 141024.0030.ec.fits: ap = 95, w1 = 3898.599, w2 = 3816.492, dw = -0.04976, nw = 1651 141024.0030.ec.fits: ap = 96, w1 = 3872.26, w2 = 3790.714, dw = -0.04942, nw = 1651 141024.0030.ec.fits: ap = 97, w1 = 3846.274, w2 = 3765.282, dw = -0.04909, nw = 1651 141024.0030.ec.fits: ap = 98, w1 = 3820.635, w2 = 3740.189, dw = -0.04875, nw = 1651 141024.0030.ec.fits: ap = 99, w1 = 3795.334, w2 = 3715.429, dw = -0.04843, nw = 1651 141024.0030.ec.fits: ap = 100, w1 = 3770.367, w2 = 3690.994, dw = -0.0481, nw = 1651 141024.0030.ec.fits: ap = 101, w1 = 3745.725, w2 = 3666.879, dw = -0.04779, nw = 1651 141024.0030.ec.fits: ap = 102, w1 = 3721.403, w2 = 3643.076, dw = -0.04747, nw = 1651 141024.0030.ec.fits: ap = 103, w1 = 3697.394, w2 = 3619.581, dw = -0.04716, nw = 1651 141024.0030.ec.fits: ap = 104, w1 = 3673.693, w2 = 3596.388, dw = -0.04685, nw = 1651 141024.0030.ec.fits: ap = 105, w1 = 3650.294, w2 = 3573.489, dw = -0.04655, nw = 1651 141024.0030.ec.fits: ap = 106, w1 = 3627.19, w2 = 3550.881, dw = -0.04625, nw = 1651 141024.0030.ec.fits: ap = 107, w1 = 3604.376, w2 = 3528.556, dw = -0.04595, nw = 1651 141024.0030.ec.fits: ap = 108, w1 = 3581.847, w2 = 3506.511, dw = -0.04566, nw = 1651 141024.0030.ec.fits: ap = 109, w1 = 3559.598, w2 = 3484.74, dw = -0.04537, nw = 1651 141024.0030.ec.fits: ap = 110, w1 = 3537.623, w2 = 3463.237, dw = -0.04508, nw = 1651 141024.0030.ec.fits: ap = 111, w1 = 3515.916, w2 = 3441.999, dw = -0.0448, nw = 1651 141024.0030.ec.fits: ap = 112, w1 = 3494.475, w2 = 3421.019, dw = -0.04452, nw = 1651 141024.0030.ec.fits: ap = 113, w1 = 3473.292, w2 = 3400.293, dw = -0.04424, nw = 1651 141024.0030.ec.fits: ap = 114, w1 = 3452.364, w2 = 3379.818, dw = -0.04397, nw = 1651 141024.0030.ec.fits: ap = 115, w1 = 3431.687, w2 = 3359.587, dw = -0.0437, nw = 1651 141024.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.55681551' 141024.0031.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.44318449' 141024.0031.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.5, dw = -0.13828, nw = 1651 141024.0031.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.53, dw = -0.13572, nw = 1651 141024.0031.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.68, dw = -0.13325, nw = 1651 141024.0031.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.58, dw = -0.13087, nw = 1651 141024.0031.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.871, dw = -0.12857, nw = 1651 141024.0031.ec.fits: ap = 6, w1 = 9879.703, w2 = 9671.218, dw = -0.12635, nw = 1651 141024.0031.ec.fits: ap = 7, w1 = 9712.266, w2 = 9507.316, dw = -0.12421, nw = 1651 141024.0031.ec.fits: ap = 8, w1 = 9550.41, w2 = 9348.878, dw = -0.12214, nw = 1651 141024.0031.ec.fits: ap = 9, w1 = 9393.86, w2 = 9195.633, dw = -0.12014, nw = 1651 141024.0031.ec.fits: ap = 10, w1 = 9242.36, w2 = 9047.332, dw = -0.1182, nw = 1651 141024.0031.ec.fits: ap = 11, w1 = 9095.67, w2 = 8903.739, dw = -0.11632, nw = 1651 141024.0031.ec.fits: ap = 12, w1 = 8953.563, w2 = 8764.633, dw = -0.1145, nw = 1651 141024.0031.ec.fits: ap = 13, w1 = 8815.828, w2 = 8629.807, dw = -0.11274, nw = 1651 141024.0031.ec.fits: ap = 14, w1 = 8682.267, w2 = 8499.066, dw = -0.11103, nw = 1651 141024.0031.ec.fits: ap = 15, w1 = 8552.692, w2 = 8372.228, dw = -0.10937, nw = 1651 141024.0031.ec.fits: ap = 16, w1 = 8426.928, w2 = 8249.12, dw = -0.10776, nw = 1651 141024.0031.ec.fits: ap = 17, w1 = 8304.811, w2 = 8129.581, dw = -0.1062, nw = 1651 141024.0031.ec.fits: ap = 18, w1 = 8186.181, w2 = 8013.457, dw = -0.10468, nw = 1651 141024.0031.ec.fits: ap = 19, w1 = 8070.893, w2 = 7900.604, dw = -0.10321, nw = 1651 141024.0031.ec.fits: ap = 20, w1 = 7958.808, w2 = 7790.886, dw = -0.10177, nw = 1651 141024.0031.ec.fits: ap = 21, w1 = 7849.793, w2 = 7684.174, dw = -0.10038, nw = 1651 141024.0031.ec.fits: ap = 22, w1 = 7743.724, w2 = 7580.345, dw = -0.09902, nw = 1651 141024.0031.ec.fits: ap = 23, w1 = 7640.484, w2 = 7479.286, dw = -0.0977, nw = 1651 141024.0031.ec.fits: ap = 24, w1 = 7539.961, w2 = 7380.885, dw = -0.09641, nw = 1651 141024.0031.ec.fits: ap = 25, w1 = 7442.048, w2 = 7285.041, dw = -0.09516, nw = 1651 141024.0031.ec.fits: ap = 26, w1 = 7346.647, w2 = 7191.654, dw = -0.09393, nw = 1651 141024.0031.ec.fits: ap = 27, w1 = 7253.66, w2 = 7100.632, dw = -0.09274, nw = 1651 141024.0031.ec.fits: ap = 28, w1 = 7162.998, w2 = 7011.885, dw = -0.09158, nw = 1651 141024.0031.ec.fits: ap = 29, w1 = 7074.575, w2 = 6925.329, dw = -0.09045, nw = 1651 141024.0031.ec.fits: ap = 30, w1 = 6988.308, w2 = 6840.884, dw = -0.08935, nw = 1651 141024.0031.ec.fits: ap = 31, w1 = 6904.12, w2 = 6758.475, dw = -0.08827, nw = 1651 141024.0031.ec.fits: ap = 32, w1 = 6821.937, w2 = 6678.027, dw = -0.08722, nw = 1651 141024.0031.ec.fits: ap = 33, w1 = 6741.687, w2 = 6599.472, dw = -0.08619, nw = 1651 141024.0031.ec.fits: ap = 34, w1 = 6663.304, w2 = 6522.744, dw = -0.08519, nw = 1651 141024.0031.ec.fits: ap = 35, w1 = 6586.722, w2 = 6447.78, dw = -0.08421, nw = 1651 141024.0031.ec.fits: ap = 36, w1 = 6511.881, w2 = 6374.52, dw = -0.08325, nw = 1651 141024.0031.ec.fits: ap = 37, w1 = 6438.722, w2 = 6302.906, dw = -0.08231, nw = 1651 141024.0031.ec.fits: ap = 38, w1 = 6367.189, w2 = 6232.884, dw = -0.0814, nw = 1651 141024.0031.ec.fits: ap = 39, w1 = 6297.228, w2 = 6164.401, dw = -0.0805, nw = 1651 141024.0031.ec.fits: ap = 40, w1 = 6228.788, w2 = 6097.406, dw = -0.07963, nw = 1651 141024.0031.ec.fits: ap = 41, w1 = 6161.82, w2 = 6031.852, dw = -0.07877, nw = 1651 141024.0031.ec.fits: ap = 42, w1 = 6096.277, w2 = 5967.693, dw = -0.07793, nw = 1651 141024.0031.ec.fits: ap = 43, w1 = 6032.114, w2 = 5904.885, dw = -0.07711, nw = 1651 141024.0031.ec.fits: ap = 44, w1 = 5969.287, w2 = 5843.386, dw = -0.0763, nw = 1651 141024.0031.ec.fits: ap = 45, w1 = 5907.756, w2 = 5783.154, dw = -0.07552, nw = 1651 141024.0031.ec.fits: ap = 46, w1 = 5847.481, w2 = 5724.152, dw = -0.07475, nw = 1651 141024.0031.ec.fits: ap = 47, w1 = 5788.424, w2 = 5666.342, dw = -0.07399, nw = 1651 141024.0031.ec.fits: ap = 48, w1 = 5730.548, w2 = 5609.688, dw = -0.07325, nw = 1651 141024.0031.ec.fits: ap = 49, w1 = 5673.818, w2 = 5554.156, dw = -0.07252, nw = 1651 141024.0031.ec.fits: ap = 50, w1 = 5618.2, w2 = 5499.713, dw = -0.07181, nw = 1651 141024.0031.ec.fits: ap = 51, w1 = 5563.663, w2 = 5446.327, dw = -0.07111, nw = 1651 141024.0031.ec.fits: ap = 52, w1 = 5510.174, w2 = 5393.968, dw = -0.07043, nw = 1651 141024.0031.ec.fits: ap = 53, w1 = 5457.704, w2 = 5342.607, dw = -0.06976, nw = 1651 141024.0031.ec.fits: ap = 54, w1 = 5406.224, w2 = 5292.214, dw = -0.0691, nw = 1651 141024.0031.ec.fits: ap = 55, w1 = 5355.707, w2 = 5242.764, dw = -0.06845, nw = 1651 141024.0031.ec.fits: ap = 56, w1 = 5306.125, w2 = 5194.229, dw = -0.06782, nw = 1651 141024.0031.ec.fits: ap = 57, w1 = 5257.453, w2 = 5146.585, dw = -0.06719, nw = 1651 141024.0031.ec.fits: ap = 58, w1 = 5209.666, w2 = 5099.807, dw = -0.06658, nw = 1651 141024.0031.ec.fits: ap = 59, w1 = 5162.74, w2 = 5053.873, dw = -0.06598, nw = 1651 141024.0031.ec.fits: ap = 60, w1 = 5116.652, w2 = 5008.758, dw = -0.06539, nw = 1651 141024.0031.ec.fits: ap = 61, w1 = 5071.38, w2 = 4964.442, dw = -0.06481, nw = 1651 141024.0031.ec.fits: ap = 62, w1 = 5026.902, w2 = 4920.904, dw = -0.06424, nw = 1651 141024.0031.ec.fits: ap = 63, w1 = 4983.198, w2 = 4878.123, dw = -0.06368, nw = 1651 141024.0031.ec.fits: ap = 64, w1 = 4940.247, w2 = 4836.079, dw = -0.06313, nw = 1651 141024.0031.ec.fits: ap = 65, w1 = 4898.03, w2 = 4794.755, dw = -0.06259, nw = 1651 141024.0031.ec.fits: ap = 66, w1 = 4856.529, w2 = 4754.131, dw = -0.06206, nw = 1651 141024.0031.ec.fits: ap = 67, w1 = 4815.726, w2 = 4714.19, dw = -0.06154, nw = 1651 141024.0031.ec.fits: ap = 68, w1 = 4775.603, w2 = 4674.914, dw = -0.06102, nw = 1651 141024.0031.ec.fits: ap = 69, w1 = 4736.143, w2 = 4636.288, dw = -0.06052, nw = 1651 141024.0031.ec.fits: ap = 70, w1 = 4697.329, w2 = 4598.295, dw = -0.06002, nw = 1651 141024.0031.ec.fits: ap = 71, w1 = 4659.147, w2 = 4560.92, dw = -0.05953, nw = 1651 141024.0031.ec.fits: ap = 72, w1 = 4621.581, w2 = 4524.148, dw = -0.05905, nw = 1651 141024.0031.ec.fits: ap = 73, w1 = 4584.616, w2 = 4487.965, dw = -0.05858, nw = 1651 141024.0031.ec.fits: ap = 74, w1 = 4548.237, w2 = 4452.356, dw = -0.05811, nw = 1651 141024.0031.ec.fits: ap = 75, w1 = 4512.432, w2 = 4417.307, dw = -0.05765, nw = 1651 141024.0031.ec.fits: ap = 76, w1 = 4477.186, w2 = 4382.807, dw = -0.0572, nw = 1651 141024.0031.ec.fits: ap = 77, w1 = 4442.486, w2 = 4348.841, dw = -0.05675, nw = 1651 141024.0031.ec.fits: ap = 78, w1 = 4408.32, w2 = 4315.398, dw = -0.05632, nw = 1651 141024.0031.ec.fits: ap = 79, w1 = 4374.675, w2 = 4282.465, dw = -0.05588, nw = 1651 141024.0031.ec.fits: ap = 80, w1 = 4341.54, w2 = 4250.032, dw = -0.05546, nw = 1651 141024.0031.ec.fits: ap = 81, w1 = 4308.903, w2 = 4218.086, dw = -0.05504, nw = 1651 141024.0031.ec.fits: ap = 82, w1 = 4276.754, w2 = 4186.617, dw = -0.05463, nw = 1651 141024.0031.ec.fits: ap = 83, w1 = 4245.08, w2 = 4155.614, dw = -0.05422, nw = 1651 141024.0031.ec.fits: ap = 84, w1 = 4213.873, w2 = 4125.068, dw = -0.05382, nw = 1651 141024.0031.ec.fits: ap = 85, w1 = 4183.121, w2 = 4094.967, dw = -0.05343, nw = 1651 141024.0031.ec.fits: ap = 86, w1 = 4152.814, w2 = 4065.303, dw = -0.05304, nw = 1651 141024.0031.ec.fits: ap = 87, w1 = 4122.943, w2 = 4036.066, dw = -0.05265, nw = 1651 141024.0031.ec.fits: ap = 88, w1 = 4093.499, w2 = 4007.246, dw = -0.05227, nw = 1651 141024.0031.ec.fits: ap = 89, w1 = 4064.472, w2 = 3978.835, dw = -0.0519, nw = 1651 141024.0031.ec.fits: ap = 90, w1 = 4035.854, w2 = 3950.824, dw = -0.05153, nw = 1651 141024.0031.ec.fits: ap = 91, w1 = 4007.636, w2 = 3923.205, dw = -0.05117, nw = 1651 141024.0031.ec.fits: ap = 92, w1 = 3979.81, w2 = 3895.97, dw = -0.05081, nw = 1651 141024.0031.ec.fits: ap = 93, w1 = 3952.368, w2 = 3869.111, dw = -0.05046, nw = 1651 141024.0031.ec.fits: ap = 94, w1 = 3925.301, w2 = 3842.619, dw = -0.05011, nw = 1651 141024.0031.ec.fits: ap = 95, w1 = 3898.602, w2 = 3816.488, dw = -0.04977, nw = 1651 141024.0031.ec.fits: ap = 96, w1 = 3872.264, w2 = 3790.71, dw = -0.04943, nw = 1651 141024.0031.ec.fits: ap = 97, w1 = 3846.279, w2 = 3765.278, dw = -0.04909, nw = 1651 141024.0031.ec.fits: ap = 98, w1 = 3820.641, w2 = 3740.185, dw = -0.04876, nw = 1651 141024.0031.ec.fits: ap = 99, w1 = 3795.341, w2 = 3715.425, dw = -0.04843, nw = 1651 141024.0031.ec.fits: ap = 100, w1 = 3770.375, w2 = 3690.99, dw = -0.04811, nw = 1651 141024.0031.ec.fits: ap = 101, w1 = 3745.734, w2 = 3666.875, dw = -0.04779, nw = 1651 141024.0031.ec.fits: ap = 102, w1 = 3721.414, w2 = 3643.073, dw = -0.04748, nw = 1651 141024.0031.ec.fits: ap = 103, w1 = 3697.406, w2 = 3619.578, dw = -0.04717, nw = 1651 141024.0031.ec.fits: ap = 104, w1 = 3673.706, w2 = 3596.384, dw = -0.04686, nw = 1651 141024.0031.ec.fits: ap = 105, w1 = 3650.308, w2 = 3573.486, dw = -0.04656, nw = 1651 141024.0031.ec.fits: ap = 106, w1 = 3627.206, w2 = 3550.877, dw = -0.04626, nw = 1651 141024.0031.ec.fits: ap = 107, w1 = 3604.394, w2 = 3528.553, dw = -0.04596, nw = 1651 141024.0031.ec.fits: ap = 108, w1 = 3581.867, w2 = 3506.508, dw = -0.04567, nw = 1651 141024.0031.ec.fits: ap = 109, w1 = 3559.619, w2 = 3484.737, dw = -0.04538, nw = 1651 141024.0031.ec.fits: ap = 110, w1 = 3537.646, w2 = 3463.235, dw = -0.0451, nw = 1651 141024.0031.ec.fits: ap = 111, w1 = 3515.941, w2 = 3441.996, dw = -0.04482, nw = 1651 141024.0031.ec.fits: ap = 112, w1 = 3494.501, w2 = 3421.016, dw = -0.04454, nw = 1651 141024.0031.ec.fits: ap = 113, w1 = 3473.321, w2 = 3400.291, dw = -0.04426, nw = 1651 141024.0031.ec.fits: ap = 114, w1 = 3452.395, w2 = 3379.815, dw = -0.04399, nw = 1651 141024.0031.ec.fits: ap = 115, w1 = 3431.72, w2 = 3359.585, dw = -0.04372, nw = 1651 141024.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.17265983' 141024.0033.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.82734019' 141024.0033.ec.fits: ap = 1, w1 = 10811.65, w2 = 10583.5, dw = -0.13827, nw = 1651 141024.0033.ec.fits: ap = 2, w1 = 10611.45, w2 = 10387.53, dw = -0.13571, nw = 1651 141024.0033.ec.fits: ap = 3, w1 = 10418.53, w2 = 10198.68, dw = -0.13324, nw = 1651 141024.0033.ec.fits: ap = 4, w1 = 10232.5, w2 = 10016.58, dw = -0.13086, nw = 1651 141024.0033.ec.fits: ap = 5, w1 = 10053., w2 = 9840.866, dw = -0.12857, nw = 1651 141024.0033.ec.fits: ap = 6, w1 = 9879.688, w2 = 9671.213, dw = -0.12635, nw = 1651 141024.0033.ec.fits: ap = 7, w1 = 9712.25, w2 = 9507.31, dw = -0.12421, nw = 1651 141024.0033.ec.fits: ap = 8, w1 = 9550.393, w2 = 9348.87, dw = -0.12214, nw = 1651 141024.0033.ec.fits: ap = 9, w1 = 9393.843, w2 = 9195.625, dw = -0.12013, nw = 1651 141024.0033.ec.fits: ap = 10, w1 = 9242.342, w2 = 9047.324, dw = -0.11819, nw = 1651 141024.0033.ec.fits: ap = 11, w1 = 9095.651, w2 = 8903.73, dw = -0.11632, nw = 1651 141024.0033.ec.fits: ap = 12, w1 = 8953.544, w2 = 8764.623, dw = -0.1145, nw = 1651 141024.0033.ec.fits: ap = 13, w1 = 8815.81, w2 = 8629.796, dw = -0.11274, nw = 1651 141024.0033.ec.fits: ap = 14, w1 = 8682.248, w2 = 8499.055, dw = -0.11103, nw = 1651 141024.0033.ec.fits: ap = 15, w1 = 8552.674, w2 = 8372.217, dw = -0.10937, nw = 1651 141024.0033.ec.fits: ap = 16, w1 = 8426.91, w2 = 8249.109, dw = -0.10776, nw = 1651 141024.0033.ec.fits: ap = 17, w1 = 8304.792, w2 = 8129.569, dw = -0.1062, nw = 1651 141024.0033.ec.fits: ap = 18, w1 = 8186.163, w2 = 8013.445, dw = -0.10468, nw = 1651 141024.0033.ec.fits: ap = 19, w1 = 8070.875, w2 = 7900.591, dw = -0.1032, nw = 1651 141024.0033.ec.fits: ap = 20, w1 = 7958.79, w2 = 7790.873, dw = -0.10177, nw = 1651 141024.0033.ec.fits: ap = 21, w1 = 7849.775, w2 = 7684.16, dw = -0.10037, nw = 1651 141024.0033.ec.fits: ap = 22, w1 = 7743.707, w2 = 7580.332, dw = -0.09902, nw = 1651 141024.0033.ec.fits: ap = 23, w1 = 7640.467, w2 = 7479.272, dw = -0.09769, nw = 1651 141024.0033.ec.fits: ap = 24, w1 = 7539.944, w2 = 7380.872, dw = -0.09641, nw = 1651 141024.0033.ec.fits: ap = 25, w1 = 7442.032, w2 = 7285.028, dw = -0.09515, nw = 1651 141024.0033.ec.fits: ap = 26, w1 = 7346.631, w2 = 7191.641, dw = -0.09393, nw = 1651 141024.0033.ec.fits: ap = 27, w1 = 7253.645, w2 = 7100.618, dw = -0.09274, nw = 1651 141024.0033.ec.fits: ap = 28, w1 = 7162.983, w2 = 7011.871, dw = -0.09158, nw = 1651 141024.0033.ec.fits: ap = 29, w1 = 7074.56, w2 = 6925.315, dw = -0.09045, nw = 1651 141024.0033.ec.fits: ap = 30, w1 = 6988.294, w2 = 6840.871, dw = -0.08935, nw = 1651 141024.0033.ec.fits: ap = 31, w1 = 6904.106, w2 = 6758.461, dw = -0.08827, nw = 1651 141024.0033.ec.fits: ap = 32, w1 = 6821.923, w2 = 6678.014, dw = -0.08722, nw = 1651 141024.0033.ec.fits: ap = 33, w1 = 6741.674, w2 = 6599.459, dw = -0.08619, nw = 1651 141024.0033.ec.fits: ap = 34, w1 = 6663.291, w2 = 6522.731, dw = -0.08519, nw = 1651 141024.0033.ec.fits: ap = 35, w1 = 6586.71, w2 = 6447.767, dw = -0.08421, nw = 1651 141024.0033.ec.fits: ap = 36, w1 = 6511.869, w2 = 6374.507, dw = -0.08325, nw = 1651 141024.0033.ec.fits: ap = 37, w1 = 6438.711, w2 = 6302.894, dw = -0.08231, nw = 1651 141024.0033.ec.fits: ap = 38, w1 = 6367.178, w2 = 6232.871, dw = -0.0814, nw = 1651 141024.0033.ec.fits: ap = 39, w1 = 6297.217, w2 = 6164.388, dw = -0.0805, nw = 1651 141024.0033.ec.fits: ap = 40, w1 = 6228.777, w2 = 6097.394, dw = -0.07963, nw = 1651 141024.0033.ec.fits: ap = 41, w1 = 6161.81, w2 = 6031.84, dw = -0.07877, nw = 1651 141024.0033.ec.fits: ap = 42, w1 = 6096.267, w2 = 5967.681, dw = -0.07793, nw = 1651 141024.0033.ec.fits: ap = 43, w1 = 6032.104, w2 = 5904.873, dw = -0.07711, nw = 1651 141024.0033.ec.fits: ap = 44, w1 = 5969.277, w2 = 5843.374, dw = -0.07631, nw = 1651 141024.0033.ec.fits: ap = 45, w1 = 5907.747, w2 = 5783.143, dw = -0.07552, nw = 1651 141024.0033.ec.fits: ap = 46, w1 = 5847.472, w2 = 5724.141, dw = -0.07475, nw = 1651 141024.0033.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.331, dw = -0.07399, nw = 1651 141024.0033.ec.fits: ap = 48, w1 = 5730.539, w2 = 5609.677, dw = -0.07325, nw = 1651 141024.0033.ec.fits: ap = 49, w1 = 5673.809, w2 = 5554.145, dw = -0.07252, nw = 1651 141024.0033.ec.fits: ap = 50, w1 = 5618.191, w2 = 5499.702, dw = -0.07181, nw = 1651 141024.0033.ec.fits: ap = 51, w1 = 5563.654, w2 = 5446.317, dw = -0.07111, nw = 1651 141024.0033.ec.fits: ap = 52, w1 = 5510.165, w2 = 5393.958, dw = -0.07043, nw = 1651 141024.0033.ec.fits: ap = 53, w1 = 5457.695, w2 = 5342.596, dw = -0.06976, nw = 1651 141024.0033.ec.fits: ap = 54, w1 = 5406.216, w2 = 5292.204, dw = -0.0691, nw = 1651 141024.0033.ec.fits: ap = 55, w1 = 5355.699, w2 = 5242.754, dw = -0.06845, nw = 1651 141024.0033.ec.fits: ap = 56, w1 = 5306.117, w2 = 5194.219, dw = -0.06782, nw = 1651 141024.0033.ec.fits: ap = 57, w1 = 5257.445, w2 = 5146.575, dw = -0.06719, nw = 1651 141024.0033.ec.fits: ap = 58, w1 = 5209.658, w2 = 5099.798, dw = -0.06658, nw = 1651 141024.0033.ec.fits: ap = 59, w1 = 5162.732, w2 = 5053.863, dw = -0.06598, nw = 1651 141024.0033.ec.fits: ap = 60, w1 = 5116.644, w2 = 5008.749, dw = -0.06539, nw = 1651 141024.0033.ec.fits: ap = 61, w1 = 5071.372, w2 = 4964.433, dw = -0.06481, nw = 1651 141024.0033.ec.fits: ap = 62, w1 = 5026.894, w2 = 4920.895, dw = -0.06424, nw = 1651 141024.0033.ec.fits: ap = 63, w1 = 4983.19, w2 = 4878.114, dw = -0.06368, nw = 1651 141024.0033.ec.fits: ap = 64, w1 = 4940.239, w2 = 4836.071, dw = -0.06313, nw = 1651 141024.0033.ec.fits: ap = 65, w1 = 4898.023, w2 = 4794.747, dw = -0.06259, nw = 1651 141024.0033.ec.fits: ap = 66, w1 = 4856.522, w2 = 4754.123, dw = -0.06206, nw = 1651 141024.0033.ec.fits: ap = 67, w1 = 4815.718, w2 = 4714.182, dw = -0.06154, nw = 1651 141024.0033.ec.fits: ap = 68, w1 = 4775.595, w2 = 4674.906, dw = -0.06102, nw = 1651 141024.0033.ec.fits: ap = 69, w1 = 4736.135, w2 = 4636.28, dw = -0.06052, nw = 1651 141024.0033.ec.fits: ap = 70, w1 = 4697.322, w2 = 4598.288, dw = -0.06002, nw = 1651 141024.0033.ec.fits: ap = 71, w1 = 4659.14, w2 = 4560.913, dw = -0.05953, nw = 1651 141024.0033.ec.fits: ap = 72, w1 = 4621.574, w2 = 4524.141, dw = -0.05905, nw = 1651 141024.0033.ec.fits: ap = 73, w1 = 4584.609, w2 = 4487.957, dw = -0.05858, nw = 1651 141024.0033.ec.fits: ap = 74, w1 = 4548.23, w2 = 4452.348, dw = -0.05811, nw = 1651 141024.0033.ec.fits: ap = 75, w1 = 4512.425, w2 = 4417.3, dw = -0.05765, nw = 1651 141024.0033.ec.fits: ap = 76, w1 = 4477.179, w2 = 4382.799, dw = -0.0572, nw = 1651 141024.0033.ec.fits: ap = 77, w1 = 4442.479, w2 = 4348.834, dw = -0.05675, nw = 1651 141024.0033.ec.fits: ap = 78, w1 = 4408.313, w2 = 4315.391, dw = -0.05632, nw = 1651 141024.0033.ec.fits: ap = 79, w1 = 4374.669, w2 = 4282.458, dw = -0.05589, nw = 1651 141024.0033.ec.fits: ap = 80, w1 = 4341.534, w2 = 4250.025, dw = -0.05546, nw = 1651 141024.0033.ec.fits: ap = 81, w1 = 4308.898, w2 = 4218.079, dw = -0.05504, nw = 1651 141024.0033.ec.fits: ap = 82, w1 = 4276.749, w2 = 4186.611, dw = -0.05463, nw = 1651 141024.0033.ec.fits: ap = 83, w1 = 4245.076, w2 = 4155.608, dw = -0.05422, nw = 1651 141024.0033.ec.fits: ap = 84, w1 = 4213.869, w2 = 4125.062, dw = -0.05382, nw = 1651 141024.0033.ec.fits: ap = 85, w1 = 4183.117, w2 = 4094.961, dw = -0.05343, nw = 1651 141024.0033.ec.fits: ap = 86, w1 = 4152.811, w2 = 4065.297, dw = -0.05304, nw = 1651 141024.0033.ec.fits: ap = 87, w1 = 4122.941, w2 = 4036.06, dw = -0.05266, nw = 1651 141024.0033.ec.fits: ap = 88, w1 = 4093.497, w2 = 4007.24, dw = -0.05228, nw = 1651 141024.0033.ec.fits: ap = 89, w1 = 4064.471, w2 = 3978.829, dw = -0.0519, nw = 1651 141024.0033.ec.fits: ap = 90, w1 = 4035.854, w2 = 3950.819, dw = -0.05154, nw = 1651 141024.0033.ec.fits: ap = 91, w1 = 4007.637, w2 = 3923.2, dw = -0.05117, nw = 1651 141024.0033.ec.fits: ap = 92, w1 = 3979.812, w2 = 3895.965, dw = -0.05082, nw = 1651 141024.0033.ec.fits: ap = 93, w1 = 3952.37, w2 = 3869.105, dw = -0.05046, nw = 1651 141024.0033.ec.fits: ap = 94, w1 = 3925.304, w2 = 3842.614, dw = -0.05012, nw = 1651 141024.0033.ec.fits: ap = 95, w1 = 3898.606, w2 = 3816.483, dw = -0.04977, nw = 1651 141024.0033.ec.fits: ap = 96, w1 = 3872.269, w2 = 3790.705, dw = -0.04943, nw = 1651 141024.0033.ec.fits: ap = 97, w1 = 3846.286, w2 = 3765.273, dw = -0.0491, nw = 1651 141024.0033.ec.fits: ap = 98, w1 = 3820.648, w2 = 3740.18, dw = -0.04877, nw = 1651 141024.0033.ec.fits: ap = 99, w1 = 3795.35, w2 = 3715.42, dw = -0.04844, nw = 1651 141024.0033.ec.fits: ap = 100, w1 = 3770.385, w2 = 3690.985, dw = -0.04812, nw = 1651 141024.0033.ec.fits: ap = 101, w1 = 3745.746, w2 = 3666.87, dw = -0.0478, nw = 1651 141024.0033.ec.fits: ap = 102, w1 = 3721.427, w2 = 3643.068, dw = -0.04749, nw = 1651 141024.0033.ec.fits: ap = 103, w1 = 3697.421, w2 = 3619.573, dw = -0.04718, nw = 1651 141024.0033.ec.fits: ap = 104, w1 = 3673.723, w2 = 3596.38, dw = -0.04687, nw = 1651 141024.0033.ec.fits: ap = 105, w1 = 3650.327, w2 = 3573.481, dw = -0.04657, nw = 1651 141024.0033.ec.fits: ap = 106, w1 = 3627.226, w2 = 3550.873, dw = -0.04627, nw = 1651 141024.0033.ec.fits: ap = 107, w1 = 3604.416, w2 = 3528.549, dw = -0.04598, nw = 1651 141024.0033.ec.fits: ap = 108, w1 = 3581.891, w2 = 3506.504, dw = -0.04569, nw = 1651 141024.0033.ec.fits: ap = 109, w1 = 3559.645, w2 = 3484.733, dw = -0.0454, nw = 1651 141024.0033.ec.fits: ap = 110, w1 = 3537.674, w2 = 3463.231, dw = -0.04512, nw = 1651 141024.0033.ec.fits: ap = 111, w1 = 3515.972, w2 = 3441.992, dw = -0.04484, nw = 1651 141024.0033.ec.fits: ap = 112, w1 = 3494.535, w2 = 3421.013, dw = -0.04456, nw = 1651 141024.0033.ec.fits: ap = 113, w1 = 3473.357, w2 = 3400.288, dw = -0.04428, nw = 1651 141024.0033.ec.fits: ap = 114, w1 = 3452.434, w2 = 3379.812, dw = -0.04401, nw = 1651 141024.0033.ec.fits: ap = 115, w1 = 3431.762, w2 = 3359.582, dw = -0.04375, nw = 1651 141024.0035.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 0.84787571' 141024.0035.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.15212427' 141024.0035.ec.fits: ap = 1, w1 = 10811.64, w2 = 10583.49, dw = -0.13827, nw = 1651 141024.0035.ec.fits: ap = 2, w1 = 10611.44, w2 = 10387.52, dw = -0.13571, nw = 1651 141024.0035.ec.fits: ap = 3, w1 = 10418.52, w2 = 10198.67, dw = -0.13324, nw = 1651 141024.0035.ec.fits: ap = 4, w1 = 10232.49, w2 = 10016.57, dw = -0.13086, nw = 1651 141024.0035.ec.fits: ap = 5, w1 = 10052.99, w2 = 9840.857, dw = -0.12857, nw = 1651 141024.0035.ec.fits: ap = 6, w1 = 9879.679, w2 = 9671.203, dw = -0.12635, nw = 1651 141024.0035.ec.fits: ap = 7, w1 = 9712.241, w2 = 9507.3, dw = -0.12421, nw = 1651 141024.0035.ec.fits: ap = 8, w1 = 9550.384, w2 = 9348.861, dw = -0.12214, nw = 1651 141024.0035.ec.fits: ap = 9, w1 = 9393.834, w2 = 9195.616, dw = -0.12013, nw = 1651 141024.0035.ec.fits: ap = 10, w1 = 9242.333, w2 = 9047.314, dw = -0.11819, nw = 1651 141024.0035.ec.fits: ap = 11, w1 = 9095.642, w2 = 8903.72, dw = -0.11632, nw = 1651 141024.0035.ec.fits: ap = 12, w1 = 8953.535, w2 = 8764.613, dw = -0.1145, nw = 1651 141024.0035.ec.fits: ap = 13, w1 = 8815.8, w2 = 8629.787, dw = -0.11274, nw = 1651 141024.0035.ec.fits: ap = 14, w1 = 8682.239, w2 = 8499.045, dw = -0.11103, nw = 1651 141024.0035.ec.fits: ap = 15, w1 = 8552.664, w2 = 8372.207, dw = -0.10937, nw = 1651 141024.0035.ec.fits: ap = 16, w1 = 8426.901, w2 = 8249.099, dw = -0.10776, nw = 1651 141024.0035.ec.fits: ap = 17, w1 = 8304.783, w2 = 8129.559, dw = -0.1062, nw = 1651 141024.0035.ec.fits: ap = 18, w1 = 8186.154, w2 = 8013.435, dw = -0.10468, nw = 1651 141024.0035.ec.fits: ap = 19, w1 = 8070.866, w2 = 7900.582, dw = -0.1032, nw = 1651 141024.0035.ec.fits: ap = 20, w1 = 7958.781, w2 = 7790.863, dw = -0.10177, nw = 1651 141024.0035.ec.fits: ap = 21, w1 = 7849.766, w2 = 7684.151, dw = -0.10037, nw = 1651 141024.0035.ec.fits: ap = 22, w1 = 7743.698, w2 = 7580.323, dw = -0.09902, nw = 1651 141024.0035.ec.fits: ap = 23, w1 = 7640.459, w2 = 7479.263, dw = -0.09769, nw = 1651 141024.0035.ec.fits: ap = 24, w1 = 7539.936, w2 = 7380.863, dw = -0.09641, nw = 1651 141024.0035.ec.fits: ap = 25, w1 = 7442.024, w2 = 7285.018, dw = -0.09515, nw = 1651 141024.0035.ec.fits: ap = 26, w1 = 7346.623, w2 = 7191.632, dw = -0.09393, nw = 1651 141024.0035.ec.fits: ap = 27, w1 = 7253.637, w2 = 7100.609, dw = -0.09274, nw = 1651 141024.0035.ec.fits: ap = 28, w1 = 7162.975, w2 = 7011.862, dw = -0.09158, nw = 1651 141024.0035.ec.fits: ap = 29, w1 = 7074.552, w2 = 6925.306, dw = -0.09045, nw = 1651 141024.0035.ec.fits: ap = 30, w1 = 6988.286, w2 = 6840.862, dw = -0.08935, nw = 1651 141024.0035.ec.fits: ap = 31, w1 = 6904.099, w2 = 6758.452, dw = -0.08827, nw = 1651 141024.0035.ec.fits: ap = 32, w1 = 6821.916, w2 = 6678.005, dw = -0.08722, nw = 1651 141024.0035.ec.fits: ap = 33, w1 = 6741.666, w2 = 6599.45, dw = -0.08619, nw = 1651 141024.0035.ec.fits: ap = 34, w1 = 6663.284, w2 = 6522.723, dw = -0.08519, nw = 1651 141024.0035.ec.fits: ap = 35, w1 = 6586.703, w2 = 6447.759, dw = -0.08421, nw = 1651 141024.0035.ec.fits: ap = 36, w1 = 6511.862, w2 = 6374.499, dw = -0.08325, nw = 1651 141024.0035.ec.fits: ap = 37, w1 = 6438.704, w2 = 6302.885, dw = -0.08231, nw = 1651 141024.0035.ec.fits: ap = 38, w1 = 6367.171, w2 = 6232.863, dw = -0.0814, nw = 1651 141024.0035.ec.fits: ap = 39, w1 = 6297.21, w2 = 6164.38, dw = -0.0805, nw = 1651 141024.0035.ec.fits: ap = 40, w1 = 6228.771, w2 = 6097.386, dw = -0.07963, nw = 1651 141024.0035.ec.fits: ap = 41, w1 = 6161.803, w2 = 6031.832, dw = -0.07877, nw = 1651 141024.0035.ec.fits: ap = 42, w1 = 6096.26, w2 = 5967.673, dw = -0.07793, nw = 1651 141024.0035.ec.fits: ap = 43, w1 = 6032.097, w2 = 5904.866, dw = -0.07711, nw = 1651 141024.0035.ec.fits: ap = 44, w1 = 5969.271, w2 = 5843.366, dw = -0.07631, nw = 1651 141024.0035.ec.fits: ap = 45, w1 = 5907.74, w2 = 5783.135, dw = -0.07552, nw = 1651 141024.0035.ec.fits: ap = 46, w1 = 5847.465, w2 = 5724.133, dw = -0.07475, nw = 1651 141024.0035.ec.fits: ap = 47, w1 = 5788.408, w2 = 5666.323, dw = -0.07399, nw = 1651 141024.0035.ec.fits: ap = 48, w1 = 5730.532, w2 = 5609.67, dw = -0.07325, nw = 1651 141024.0035.ec.fits: ap = 49, w1 = 5673.802, w2 = 5554.138, dw = -0.07252, nw = 1651 141024.0035.ec.fits: ap = 50, w1 = 5618.185, w2 = 5499.695, dw = -0.07181, nw = 1651 141024.0035.ec.fits: ap = 51, w1 = 5563.647, w2 = 5446.31, dw = -0.07111, nw = 1651 141024.0035.ec.fits: ap = 52, w1 = 5510.159, w2 = 5393.951, dw = -0.07043, nw = 1651 141024.0035.ec.fits: ap = 53, w1 = 5457.689, w2 = 5342.59, dw = -0.06976, nw = 1651 141024.0035.ec.fits: ap = 54, w1 = 5406.209, w2 = 5292.197, dw = -0.0691, nw = 1651 141024.0035.ec.fits: ap = 55, w1 = 5355.692, w2 = 5242.747, dw = -0.06845, nw = 1651 141024.0035.ec.fits: ap = 56, w1 = 5306.11, w2 = 5194.213, dw = -0.06782, nw = 1651 141024.0035.ec.fits: ap = 57, w1 = 5257.438, w2 = 5146.569, dw = -0.06719, nw = 1651 141024.0035.ec.fits: ap = 58, w1 = 5209.651, w2 = 5099.792, dw = -0.06658, nw = 1651 141024.0035.ec.fits: ap = 59, w1 = 5162.726, w2 = 5053.857, dw = -0.06598, nw = 1651 141024.0035.ec.fits: ap = 60, w1 = 5116.638, w2 = 5008.743, dw = -0.06539, nw = 1651 141024.0035.ec.fits: ap = 61, w1 = 5071.366, w2 = 4964.428, dw = -0.06481, nw = 1651 141024.0035.ec.fits: ap = 62, w1 = 5026.888, w2 = 4920.89, dw = -0.06424, nw = 1651 141024.0035.ec.fits: ap = 63, w1 = 4983.184, w2 = 4878.109, dw = -0.06368, nw = 1651 141024.0035.ec.fits: ap = 64, w1 = 4940.233, w2 = 4836.066, dw = -0.06313, nw = 1651 141024.0035.ec.fits: ap = 65, w1 = 4898.017, w2 = 4794.741, dw = -0.06259, nw = 1651 141024.0035.ec.fits: ap = 66, w1 = 4856.516, w2 = 4754.118, dw = -0.06206, nw = 1651 141024.0035.ec.fits: ap = 67, w1 = 4815.713, w2 = 4714.177, dw = -0.06154, nw = 1651 141024.0035.ec.fits: ap = 68, w1 = 4775.59, w2 = 4674.902, dw = -0.06102, nw = 1651 141024.0035.ec.fits: ap = 69, w1 = 4736.13, w2 = 4636.276, dw = -0.06052, nw = 1651 141024.0035.ec.fits: ap = 70, w1 = 4697.317, w2 = 4598.283, dw = -0.06002, nw = 1651 141024.0035.ec.fits: ap = 71, w1 = 4659.135, w2 = 4560.908, dw = -0.05953, nw = 1651 141024.0035.ec.fits: ap = 72, w1 = 4621.569, w2 = 4524.136, dw = -0.05905, nw = 1651 141024.0035.ec.fits: ap = 73, w1 = 4584.604, w2 = 4487.953, dw = -0.05858, nw = 1651 141024.0035.ec.fits: ap = 74, w1 = 4548.226, w2 = 4452.344, dw = -0.05811, nw = 1651 141024.0035.ec.fits: ap = 75, w1 = 4512.421, w2 = 4417.296, dw = -0.05765, nw = 1651 141024.0035.ec.fits: ap = 76, w1 = 4477.175, w2 = 4382.794, dw = -0.0572, nw = 1651 141024.0035.ec.fits: ap = 77, w1 = 4442.476, w2 = 4348.829, dw = -0.05676, nw = 1651 141024.0035.ec.fits: ap = 78, w1 = 4408.31, w2 = 4315.386, dw = -0.05632, nw = 1651 141024.0035.ec.fits: ap = 79, w1 = 4374.667, w2 = 4282.454, dw = -0.05589, nw = 1651 141024.0035.ec.fits: ap = 80, w1 = 4341.533, w2 = 4250.021, dw = -0.05546, nw = 1651 141024.0035.ec.fits: ap = 81, w1 = 4308.897, w2 = 4218.076, dw = -0.05504, nw = 1651 141024.0035.ec.fits: ap = 82, w1 = 4276.749, w2 = 4186.608, dw = -0.05463, nw = 1651 141024.0035.ec.fits: ap = 83, w1 = 4245.077, w2 = 4155.605, dw = -0.05422, nw = 1651 141024.0035.ec.fits: ap = 84, w1 = 4213.87, w2 = 4125.059, dw = -0.05382, nw = 1651 141024.0035.ec.fits: ap = 85, w1 = 4183.119, w2 = 4094.959, dw = -0.05343, nw = 1651 141024.0035.ec.fits: ap = 86, w1 = 4152.813, w2 = 4065.294, dw = -0.05304, nw = 1651 141024.0035.ec.fits: ap = 87, w1 = 4122.944, w2 = 4036.057, dw = -0.05266, nw = 1651 141024.0035.ec.fits: ap = 88, w1 = 4093.501, w2 = 4007.238, dw = -0.05228, nw = 1651 141024.0035.ec.fits: ap = 89, w1 = 4064.476, w2 = 3978.827, dw = -0.05191, nw = 1651 141024.0035.ec.fits: ap = 90, w1 = 4035.86, w2 = 3950.817, dw = -0.05154, nw = 1651 141024.0035.ec.fits: ap = 91, w1 = 4007.644, w2 = 3923.198, dw = -0.05118, nw = 1651 141024.0035.ec.fits: ap = 92, w1 = 3979.819, w2 = 3895.963, dw = -0.05082, nw = 1651 141024.0035.ec.fits: ap = 93, w1 = 3952.379, w2 = 3869.104, dw = -0.05047, nw = 1651 141024.0035.ec.fits: ap = 94, w1 = 3925.314, w2 = 3842.613, dw = -0.05012, nw = 1651 141024.0035.ec.fits: ap = 95, w1 = 3898.618, w2 = 3816.482, dw = -0.04978, nw = 1651 141024.0035.ec.fits: ap = 96, w1 = 3872.282, w2 = 3790.704, dw = -0.04944, nw = 1651 141024.0035.ec.fits: ap = 97, w1 = 3846.3, w2 = 3765.272, dw = -0.04911, nw = 1651 141024.0035.ec.fits: ap = 98, w1 = 3820.664, w2 = 3740.18, dw = -0.04878, nw = 1651 141024.0035.ec.fits: ap = 99, w1 = 3795.367, w2 = 3715.42, dw = -0.04845, nw = 1651 141024.0035.ec.fits: ap = 100, w1 = 3770.403, w2 = 3690.985, dw = -0.04813, nw = 1651 141024.0035.ec.fits: ap = 101, w1 = 3745.766, w2 = 3666.871, dw = -0.04782, nw = 1651 141024.0035.ec.fits: ap = 102, w1 = 3721.448, w2 = 3643.069, dw = -0.0475, nw = 1651 141024.0035.ec.fits: ap = 103, w1 = 3697.444, w2 = 3619.574, dw = -0.04719, nw = 1651 141024.0035.ec.fits: ap = 104, w1 = 3673.748, w2 = 3596.381, dw = -0.04689, nw = 1651 141024.0035.ec.fits: ap = 105, w1 = 3650.353, w2 = 3573.483, dw = -0.04659, nw = 1651 141024.0035.ec.fits: ap = 106, w1 = 3627.255, w2 = 3550.875, dw = -0.04629, nw = 1651 141024.0035.ec.fits: ap = 107, w1 = 3604.447, w2 = 3528.551, dw = -0.046, nw = 1651 141024.0035.ec.fits: ap = 108, w1 = 3581.924, w2 = 3506.507, dw = -0.04571, nw = 1651 141024.0035.ec.fits: ap = 109, w1 = 3559.68, w2 = 3484.736, dw = -0.04542, nw = 1651 141024.0035.ec.fits: ap = 110, w1 = 3537.711, w2 = 3463.234, dw = -0.04514, nw = 1651 141024.0035.ec.fits: ap = 111, w1 = 3516.012, w2 = 3441.995, dw = -0.04486, nw = 1651 141024.0035.ec.fits: ap = 112, w1 = 3494.577, w2 = 3421.016, dw = -0.04458, nw = 1651 141024.0035.ec.fits: ap = 113, w1 = 3473.402, w2 = 3400.291, dw = -0.04431, nw = 1651 141024.0035.ec.fits: ap = 114, w1 = 3452.481, w2 = 3379.816, dw = -0.04404, nw = 1651 141024.0035.ec.fits: ap = 115, w1 = 3431.811, w2 = 3359.586, dw = -0.04377, nw = 1651 141024.0036.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 0.53436333' 141024.0036.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.46563667' 141024.0036.ec.fits: ap = 1, w1 = 10811.64, w2 = 10583.47, dw = -0.13828, nw = 1651 141024.0036.ec.fits: ap = 2, w1 = 10611.44, w2 = 10387.5, dw = -0.13572, nw = 1651 141024.0036.ec.fits: ap = 3, w1 = 10418.52, w2 = 10198.65, dw = -0.13325, nw = 1651 141024.0036.ec.fits: ap = 4, w1 = 10232.49, w2 = 10016.55, dw = -0.13087, nw = 1651 141024.0036.ec.fits: ap = 5, w1 = 10052.99, w2 = 9840.841, dw = -0.12857, nw = 1651 141024.0036.ec.fits: ap = 6, w1 = 9879.676, w2 = 9671.188, dw = -0.12636, nw = 1651 141024.0036.ec.fits: ap = 7, w1 = 9712.238, w2 = 9507.286, dw = -0.12421, nw = 1651 141024.0036.ec.fits: ap = 8, w1 = 9550.381, w2 = 9348.847, dw = -0.12214, nw = 1651 141024.0036.ec.fits: ap = 9, w1 = 9393.831, w2 = 9195.603, dw = -0.12014, nw = 1651 141024.0036.ec.fits: ap = 10, w1 = 9242.33, w2 = 9047.302, dw = -0.1182, nw = 1651 141024.0036.ec.fits: ap = 11, w1 = 9095.639, w2 = 8903.709, dw = -0.11632, nw = 1651 141024.0036.ec.fits: ap = 12, w1 = 8953.532, w2 = 8764.602, dw = -0.1145, nw = 1651 141024.0036.ec.fits: ap = 13, w1 = 8815.797, w2 = 8629.776, dw = -0.11274, nw = 1651 141024.0036.ec.fits: ap = 14, w1 = 8682.236, w2 = 8499.036, dw = -0.11103, nw = 1651 141024.0036.ec.fits: ap = 15, w1 = 8552.662, w2 = 8372.198, dw = -0.10937, nw = 1651 141024.0036.ec.fits: ap = 16, w1 = 8426.899, w2 = 8249.09, dw = -0.10776, nw = 1651 141024.0036.ec.fits: ap = 17, w1 = 8304.78, w2 = 8129.551, dw = -0.1062, nw = 1651 141024.0036.ec.fits: ap = 18, w1 = 8186.151, w2 = 8013.427, dw = -0.10468, nw = 1651 141024.0036.ec.fits: ap = 19, w1 = 8070.864, w2 = 7900.574, dw = -0.10321, nw = 1651 141024.0036.ec.fits: ap = 20, w1 = 7958.778, w2 = 7790.856, dw = -0.10177, nw = 1651 141024.0036.ec.fits: ap = 21, w1 = 7849.764, w2 = 7684.144, dw = -0.10038, nw = 1651 141024.0036.ec.fits: ap = 22, w1 = 7743.696, w2 = 7580.316, dw = -0.09902, nw = 1651 141024.0036.ec.fits: ap = 23, w1 = 7640.456, w2 = 7479.256, dw = -0.0977, nw = 1651 141024.0036.ec.fits: ap = 24, w1 = 7539.933, w2 = 7380.856, dw = -0.09641, nw = 1651 141024.0036.ec.fits: ap = 25, w1 = 7442.021, w2 = 7285.012, dw = -0.09516, nw = 1651 141024.0036.ec.fits: ap = 26, w1 = 7346.62, w2 = 7191.625, dw = -0.09394, nw = 1651 141024.0036.ec.fits: ap = 27, w1 = 7253.634, w2 = 7100.603, dw = -0.09275, nw = 1651 141024.0036.ec.fits: ap = 28, w1 = 7162.972, w2 = 7011.856, dw = -0.09159, nw = 1651 141024.0036.ec.fits: ap = 29, w1 = 7074.549, w2 = 6925.301, dw = -0.09045, nw = 1651 141024.0036.ec.fits: ap = 30, w1 = 6988.283, w2 = 6840.856, dw = -0.08935, nw = 1651 141024.0036.ec.fits: ap = 31, w1 = 6904.095, w2 = 6758.447, dw = -0.08827, nw = 1651 141024.0036.ec.fits: ap = 32, w1 = 6821.912, w2 = 6677.999, dw = -0.08722, nw = 1651 141024.0036.ec.fits: ap = 33, w1 = 6741.663, w2 = 6599.445, dw = -0.08619, nw = 1651 141024.0036.ec.fits: ap = 34, w1 = 6663.28, w2 = 6522.717, dw = -0.08519, nw = 1651 141024.0036.ec.fits: ap = 35, w1 = 6586.699, w2 = 6447.754, dw = -0.08421, nw = 1651 141024.0036.ec.fits: ap = 36, w1 = 6511.858, w2 = 6374.494, dw = -0.08325, nw = 1651 141024.0036.ec.fits: ap = 37, w1 = 6438.7, w2 = 6302.88, dw = -0.08231, nw = 1651 141024.0036.ec.fits: ap = 38, w1 = 6367.167, w2 = 6232.858, dw = -0.0814, nw = 1651 141024.0036.ec.fits: ap = 39, w1 = 6297.206, w2 = 6164.375, dw = -0.0805, nw = 1651 141024.0036.ec.fits: ap = 40, w1 = 6228.766, w2 = 6097.381, dw = -0.07963, nw = 1651 141024.0036.ec.fits: ap = 41, w1 = 6161.798, w2 = 6031.827, dw = -0.07877, nw = 1651 141024.0036.ec.fits: ap = 42, w1 = 6096.255, w2 = 5967.669, dw = -0.07793, nw = 1651 141024.0036.ec.fits: ap = 43, w1 = 6032.092, w2 = 5904.861, dw = -0.07711, nw = 1651 141024.0036.ec.fits: ap = 44, w1 = 5969.266, w2 = 5843.362, dw = -0.07631, nw = 1651 141024.0036.ec.fits: ap = 45, w1 = 5907.735, w2 = 5783.13, dw = -0.07552, nw = 1651 141024.0036.ec.fits: ap = 46, w1 = 5847.46, w2 = 5724.128, dw = -0.07475, nw = 1651 141024.0036.ec.fits: ap = 47, w1 = 5788.403, w2 = 5666.319, dw = -0.07399, nw = 1651 141024.0036.ec.fits: ap = 48, w1 = 5730.527, w2 = 5609.665, dw = -0.07325, nw = 1651 141024.0036.ec.fits: ap = 49, w1 = 5673.797, w2 = 5554.133, dw = -0.07252, nw = 1651 141024.0036.ec.fits: ap = 50, w1 = 5618.179, w2 = 5499.691, dw = -0.07181, nw = 1651 141024.0036.ec.fits: ap = 51, w1 = 5563.642, w2 = 5446.305, dw = -0.07111, nw = 1651 141024.0036.ec.fits: ap = 52, w1 = 5510.153, w2 = 5393.947, dw = -0.07043, nw = 1651 141024.0036.ec.fits: ap = 53, w1 = 5457.683, w2 = 5342.585, dw = -0.06976, nw = 1651 141024.0036.ec.fits: ap = 54, w1 = 5406.204, w2 = 5292.193, dw = -0.0691, nw = 1651 141024.0036.ec.fits: ap = 55, w1 = 5355.687, w2 = 5242.743, dw = -0.06845, nw = 1651 141024.0036.ec.fits: ap = 56, w1 = 5306.105, w2 = 5194.209, dw = -0.06782, nw = 1651 141024.0036.ec.fits: ap = 57, w1 = 5257.433, w2 = 5146.565, dw = -0.06719, nw = 1651 141024.0036.ec.fits: ap = 58, w1 = 5209.646, w2 = 5099.788, dw = -0.06658, nw = 1651 141024.0036.ec.fits: ap = 59, w1 = 5162.72, w2 = 5053.853, dw = -0.06598, nw = 1651 141024.0036.ec.fits: ap = 60, w1 = 5116.633, w2 = 5008.739, dw = -0.06539, nw = 1651 141024.0036.ec.fits: ap = 61, w1 = 5071.361, w2 = 4964.424, dw = -0.06481, nw = 1651 141024.0036.ec.fits: ap = 62, w1 = 5026.883, w2 = 4920.886, dw = -0.06424, nw = 1651 141024.0036.ec.fits: ap = 63, w1 = 4983.179, w2 = 4878.105, dw = -0.06368, nw = 1651 141024.0036.ec.fits: ap = 64, w1 = 4940.229, w2 = 4836.062, dw = -0.06313, nw = 1651 141024.0036.ec.fits: ap = 65, w1 = 4898.013, w2 = 4794.738, dw = -0.06259, nw = 1651 141024.0036.ec.fits: ap = 66, w1 = 4856.512, w2 = 4754.114, dw = -0.06206, nw = 1651 141024.0036.ec.fits: ap = 67, w1 = 4815.709, w2 = 4714.174, dw = -0.06154, nw = 1651 141024.0036.ec.fits: ap = 68, w1 = 4775.586, w2 = 4674.899, dw = -0.06102, nw = 1651 141024.0036.ec.fits: ap = 69, w1 = 4736.127, w2 = 4636.273, dw = -0.06052, nw = 1651 141024.0036.ec.fits: ap = 70, w1 = 4697.314, w2 = 4598.28, dw = -0.06002, nw = 1651 141024.0036.ec.fits: ap = 71, w1 = 4659.133, w2 = 4560.906, dw = -0.05953, nw = 1651 141024.0036.ec.fits: ap = 72, w1 = 4621.567, w2 = 4524.134, dw = -0.05905, nw = 1651 141024.0036.ec.fits: ap = 73, w1 = 4584.603, w2 = 4487.951, dw = -0.05858, nw = 1651 141024.0036.ec.fits: ap = 74, w1 = 4548.225, w2 = 4452.342, dw = -0.05811, nw = 1651 141024.0036.ec.fits: ap = 75, w1 = 4512.421, w2 = 4417.294, dw = -0.05765, nw = 1651 141024.0036.ec.fits: ap = 76, w1 = 4477.175, w2 = 4382.793, dw = -0.0572, nw = 1651 141024.0036.ec.fits: ap = 77, w1 = 4442.476, w2 = 4348.828, dw = -0.05676, nw = 1651 141024.0036.ec.fits: ap = 78, w1 = 4408.312, w2 = 4315.385, dw = -0.05632, nw = 1651 141024.0036.ec.fits: ap = 79, w1 = 4374.669, w2 = 4282.453, dw = -0.05589, nw = 1651 141024.0036.ec.fits: ap = 80, w1 = 4341.536, w2 = 4250.02, dw = -0.05546, nw = 1651 141024.0036.ec.fits: ap = 81, w1 = 4308.901, w2 = 4218.075, dw = -0.05505, nw = 1651 141024.0036.ec.fits: ap = 82, w1 = 4276.753, w2 = 4186.607, dw = -0.05463, nw = 1651 141024.0036.ec.fits: ap = 83, w1 = 4245.082, w2 = 4155.605, dw = -0.05423, nw = 1651 141024.0036.ec.fits: ap = 84, w1 = 4213.876, w2 = 4125.059, dw = -0.05383, nw = 1651 141024.0036.ec.fits: ap = 85, w1 = 4183.126, w2 = 4094.959, dw = -0.05343, nw = 1651 141024.0036.ec.fits: ap = 86, w1 = 4152.821, w2 = 4065.295, dw = -0.05305, nw = 1651 141024.0036.ec.fits: ap = 87, w1 = 4122.953, w2 = 4036.058, dw = -0.05266, nw = 1651 141024.0036.ec.fits: ap = 88, w1 = 4093.511, w2 = 4007.239, dw = -0.05229, nw = 1651 141024.0036.ec.fits: ap = 89, w1 = 4064.487, w2 = 3978.829, dw = -0.05191, nw = 1651 141024.0036.ec.fits: ap = 90, w1 = 4035.872, w2 = 3950.819, dw = -0.05155, nw = 1651 141024.0036.ec.fits: ap = 91, w1 = 4007.657, w2 = 3923.2, dw = -0.05119, nw = 1651 141024.0036.ec.fits: ap = 92, w1 = 3979.835, w2 = 3895.966, dw = -0.05083, nw = 1651 141024.0036.ec.fits: ap = 93, w1 = 3952.395, w2 = 3869.107, dw = -0.05048, nw = 1651 141024.0036.ec.fits: ap = 94, w1 = 3925.332, w2 = 3842.616, dw = -0.05013, nw = 1651 141024.0036.ec.fits: ap = 95, w1 = 3898.637, w2 = 3816.485, dw = -0.04979, nw = 1651 141024.0036.ec.fits: ap = 96, w1 = 3872.303, w2 = 3790.708, dw = -0.04945, nw = 1651 141024.0036.ec.fits: ap = 97, w1 = 3846.322, w2 = 3765.276, dw = -0.04912, nw = 1651 141024.0036.ec.fits: ap = 98, w1 = 3820.688, w2 = 3740.184, dw = -0.04879, nw = 1651 141024.0036.ec.fits: ap = 99, w1 = 3795.393, w2 = 3715.424, dw = -0.04847, nw = 1651 141024.0036.ec.fits: ap = 100, w1 = 3770.431, w2 = 3690.99, dw = -0.04815, nw = 1651 141024.0036.ec.fits: ap = 101, w1 = 3745.796, w2 = 3666.876, dw = -0.04783, nw = 1651 141024.0036.ec.fits: ap = 102, w1 = 3721.48, w2 = 3643.075, dw = -0.04752, nw = 1651 141024.0036.ec.fits: ap = 103, w1 = 3697.478, w2 = 3619.58, dw = -0.04721, nw = 1651 141024.0036.ec.fits: ap = 104, w1 = 3673.784, w2 = 3596.387, dw = -0.04691, nw = 1651 141024.0036.ec.fits: ap = 105, w1 = 3650.391, w2 = 3573.49, dw = -0.04661, nw = 1651 141024.0036.ec.fits: ap = 106, w1 = 3627.295, w2 = 3550.882, dw = -0.04631, nw = 1651 141024.0036.ec.fits: ap = 107, w1 = 3604.489, w2 = 3528.559, dw = -0.04602, nw = 1651 141024.0036.ec.fits: ap = 108, w1 = 3581.969, w2 = 3506.515, dw = -0.04573, nw = 1651 141024.0036.ec.fits: ap = 109, w1 = 3559.728, w2 = 3484.744, dw = -0.04544, nw = 1651 141024.0036.ec.fits: ap = 110, w1 = 3537.761, w2 = 3463.243, dw = -0.04516, nw = 1651 141024.0036.ec.fits: ap = 111, w1 = 3516.064, w2 = 3442.005, dw = -0.04488, nw = 1651 141024.0036.ec.fits: ap = 112, w1 = 3494.632, w2 = 3421.026, dw = -0.04461, nw = 1651 141024.0036.ec.fits: ap = 113, w1 = 3473.46, w2 = 3400.302, dw = -0.04434, nw = 1651 141024.0036.ec.fits: ap = 114, w1 = 3452.542, w2 = 3379.827, dw = -0.04407, nw = 1651 141024.0036.ec.fits: ap = 115, w1 = 3431.875, w2 = 3359.597, dw = -0.0438, nw = 1651 141024.0037.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 0.18317094' 141024.0037.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.81682909' 141024.0037.ec.fits: ap = 1, w1 = 10811.63, w2 = 10583.45, dw = -0.13829, nw = 1651 141024.0037.ec.fits: ap = 2, w1 = 10611.43, w2 = 10387.48, dw = -0.13573, nw = 1651 141024.0037.ec.fits: ap = 3, w1 = 10418.52, w2 = 10198.63, dw = -0.13326, nw = 1651 141024.0037.ec.fits: ap = 4, w1 = 10232.49, w2 = 10016.53, dw = -0.13088, nw = 1651 141024.0037.ec.fits: ap = 5, w1 = 10052.98, w2 = 9840.823, dw = -0.12858, nw = 1651 141024.0037.ec.fits: ap = 6, w1 = 9879.672, w2 = 9671.172, dw = -0.12636, nw = 1651 141024.0037.ec.fits: ap = 7, w1 = 9712.234, w2 = 9507.27, dw = -0.12422, nw = 1651 141024.0037.ec.fits: ap = 8, w1 = 9550.377, w2 = 9348.832, dw = -0.12215, nw = 1651 141024.0037.ec.fits: ap = 9, w1 = 9393.827, w2 = 9195.589, dw = -0.12014, nw = 1651 141024.0037.ec.fits: ap = 10, w1 = 9242.327, w2 = 9047.289, dw = -0.11821, nw = 1651 141024.0037.ec.fits: ap = 11, w1 = 9095.636, w2 = 8903.696, dw = -0.11633, nw = 1651 141024.0037.ec.fits: ap = 12, w1 = 8953.529, w2 = 8764.59, dw = -0.11451, nw = 1651 141024.0037.ec.fits: ap = 13, w1 = 8815.794, w2 = 8629.765, dw = -0.11275, nw = 1651 141024.0037.ec.fits: ap = 14, w1 = 8682.233, w2 = 8499.025, dw = -0.11104, nw = 1651 141024.0037.ec.fits: ap = 15, w1 = 8552.659, w2 = 8372.187, dw = -0.10938, nw = 1651 141024.0037.ec.fits: ap = 16, w1 = 8426.896, w2 = 8249.08, dw = -0.10777, nw = 1651 141024.0037.ec.fits: ap = 17, w1 = 8304.778, w2 = 8129.542, dw = -0.1062, nw = 1651 141024.0037.ec.fits: ap = 18, w1 = 8186.149, w2 = 8013.418, dw = -0.10469, nw = 1651 141024.0037.ec.fits: ap = 19, w1 = 8070.861, w2 = 7900.565, dw = -0.10321, nw = 1651 141024.0037.ec.fits: ap = 20, w1 = 7958.776, w2 = 7790.848, dw = -0.10177, nw = 1651 141024.0037.ec.fits: ap = 21, w1 = 7849.761, w2 = 7684.136, dw = -0.10038, nw = 1651 141024.0037.ec.fits: ap = 22, w1 = 7743.693, w2 = 7580.308, dw = -0.09902, nw = 1651 141024.0037.ec.fits: ap = 23, w1 = 7640.453, w2 = 7479.249, dw = -0.0977, nw = 1651 141024.0037.ec.fits: ap = 24, w1 = 7539.93, w2 = 7380.849, dw = -0.09641, nw = 1651 141024.0037.ec.fits: ap = 25, w1 = 7442.018, w2 = 7285.005, dw = -0.09516, nw = 1651 141024.0037.ec.fits: ap = 26, w1 = 7346.617, w2 = 7191.619, dw = -0.09394, nw = 1651 141024.0037.ec.fits: ap = 27, w1 = 7253.631, w2 = 7100.596, dw = -0.09275, nw = 1651 141024.0037.ec.fits: ap = 28, w1 = 7162.969, w2 = 7011.85, dw = -0.09159, nw = 1651 141024.0037.ec.fits: ap = 29, w1 = 7074.546, w2 = 6925.294, dw = -0.09046, nw = 1651 141024.0037.ec.fits: ap = 30, w1 = 6988.28, w2 = 6840.85, dw = -0.08935, nw = 1651 141024.0037.ec.fits: ap = 31, w1 = 6904.092, w2 = 6758.441, dw = -0.08827, nw = 1651 141024.0037.ec.fits: ap = 32, w1 = 6821.909, w2 = 6677.993, dw = -0.08722, nw = 1651 141024.0037.ec.fits: ap = 33, w1 = 6741.659, w2 = 6599.439, dw = -0.08619, nw = 1651 141024.0037.ec.fits: ap = 34, w1 = 6663.276, w2 = 6522.711, dw = -0.08519, nw = 1651 141024.0037.ec.fits: ap = 35, w1 = 6586.695, w2 = 6447.748, dw = -0.08421, nw = 1651 141024.0037.ec.fits: ap = 36, w1 = 6511.854, w2 = 6374.488, dw = -0.08325, nw = 1651 141024.0037.ec.fits: ap = 37, w1 = 6438.695, w2 = 6302.874, dw = -0.08232, nw = 1651 141024.0037.ec.fits: ap = 38, w1 = 6367.162, w2 = 6232.852, dw = -0.0814, nw = 1651 141024.0037.ec.fits: ap = 39, w1 = 6297.201, w2 = 6164.369, dw = -0.0805, nw = 1651 141024.0037.ec.fits: ap = 40, w1 = 6228.761, w2 = 6097.375, dw = -0.07963, nw = 1651 141024.0037.ec.fits: ap = 41, w1 = 6161.793, w2 = 6031.822, dw = -0.07877, nw = 1651 141024.0037.ec.fits: ap = 42, w1 = 6096.25, w2 = 5967.663, dw = -0.07793, nw = 1651 141024.0037.ec.fits: ap = 43, w1 = 6032.087, w2 = 5904.855, dw = -0.07711, nw = 1651 141024.0037.ec.fits: ap = 44, w1 = 5969.261, w2 = 5843.356, dw = -0.07631, nw = 1651 141024.0037.ec.fits: ap = 45, w1 = 5907.73, w2 = 5783.125, dw = -0.07552, nw = 1651 141024.0037.ec.fits: ap = 46, w1 = 5847.454, w2 = 5724.123, dw = -0.07475, nw = 1651 141024.0037.ec.fits: ap = 47, w1 = 5788.397, w2 = 5666.313, dw = -0.07399, nw = 1651 141024.0037.ec.fits: ap = 48, w1 = 5730.521, w2 = 5609.66, dw = -0.07325, nw = 1651 141024.0037.ec.fits: ap = 49, w1 = 5673.791, w2 = 5554.128, dw = -0.07252, nw = 1651 141024.0037.ec.fits: ap = 50, w1 = 5618.173, w2 = 5499.686, dw = -0.07181, nw = 1651 141024.0037.ec.fits: ap = 51, w1 = 5563.636, w2 = 5446.3, dw = -0.07111, nw = 1651 141024.0037.ec.fits: ap = 52, w1 = 5510.147, w2 = 5393.942, dw = -0.07043, nw = 1651 141024.0037.ec.fits: ap = 53, w1 = 5457.677, w2 = 5342.58, dw = -0.06976, nw = 1651 141024.0037.ec.fits: ap = 54, w1 = 5406.198, w2 = 5292.188, dw = -0.0691, nw = 1651 141024.0037.ec.fits: ap = 55, w1 = 5355.68, w2 = 5242.738, dw = -0.06845, nw = 1651 141024.0037.ec.fits: ap = 56, w1 = 5306.099, w2 = 5194.204, dw = -0.06781, nw = 1651 141024.0037.ec.fits: ap = 57, w1 = 5257.427, w2 = 5146.56, dw = -0.06719, nw = 1651 141024.0037.ec.fits: ap = 58, w1 = 5209.64, w2 = 5099.783, dw = -0.06658, nw = 1651 141024.0037.ec.fits: ap = 59, w1 = 5162.714, w2 = 5053.849, dw = -0.06598, nw = 1651 141024.0037.ec.fits: ap = 60, w1 = 5116.627, w2 = 5008.735, dw = -0.06539, nw = 1651 141024.0037.ec.fits: ap = 61, w1 = 5071.355, w2 = 4964.42, dw = -0.06481, nw = 1651 141024.0037.ec.fits: ap = 62, w1 = 5026.878, w2 = 4920.882, dw = -0.06424, nw = 1651 141024.0037.ec.fits: ap = 63, w1 = 4983.174, w2 = 4878.101, dw = -0.06368, nw = 1651 141024.0037.ec.fits: ap = 64, w1 = 4940.224, w2 = 4836.058, dw = -0.06313, nw = 1651 141024.0037.ec.fits: ap = 65, w1 = 4898.008, w2 = 4794.734, dw = -0.06259, nw = 1651 141024.0037.ec.fits: ap = 66, w1 = 4856.507, w2 = 4754.111, dw = -0.06206, nw = 1651 141024.0037.ec.fits: ap = 67, w1 = 4815.705, w2 = 4714.17, dw = -0.06154, nw = 1651 141024.0037.ec.fits: ap = 68, w1 = 4775.582, w2 = 4674.895, dw = -0.06102, nw = 1651 141024.0037.ec.fits: ap = 69, w1 = 4736.123, w2 = 4636.27, dw = -0.06052, nw = 1651 141024.0037.ec.fits: ap = 70, w1 = 4697.311, w2 = 4598.277, dw = -0.06002, nw = 1651 141024.0037.ec.fits: ap = 71, w1 = 4659.13, w2 = 4560.903, dw = -0.05953, nw = 1651 141024.0037.ec.fits: ap = 72, w1 = 4621.565, w2 = 4524.131, dw = -0.05905, nw = 1651 141024.0037.ec.fits: ap = 73, w1 = 4584.601, w2 = 4487.948, dw = -0.05858, nw = 1651 141024.0037.ec.fits: ap = 74, w1 = 4548.224, w2 = 4452.34, dw = -0.05811, nw = 1651 141024.0037.ec.fits: ap = 75, w1 = 4512.42, w2 = 4417.292, dw = -0.05765, nw = 1651 141024.0037.ec.fits: ap = 76, w1 = 4477.175, w2 = 4382.792, dw = -0.0572, nw = 1651 141024.0037.ec.fits: ap = 77, w1 = 4442.477, w2 = 4348.826, dw = -0.05676, nw = 1651 141024.0037.ec.fits: ap = 78, w1 = 4408.313, w2 = 4315.384, dw = -0.05632, nw = 1651 141024.0037.ec.fits: ap = 79, w1 = 4374.671, w2 = 4282.452, dw = -0.05589, nw = 1651 141024.0037.ec.fits: ap = 80, w1 = 4341.539, w2 = 4250.02, dw = -0.05547, nw = 1651 141024.0037.ec.fits: ap = 81, w1 = 4308.905, w2 = 4218.075, dw = -0.05505, nw = 1651 141024.0037.ec.fits: ap = 82, w1 = 4276.758, w2 = 4186.607, dw = -0.05464, nw = 1651 141024.0037.ec.fits: ap = 83, w1 = 4245.087, w2 = 4155.605, dw = -0.05423, nw = 1651 141024.0037.ec.fits: ap = 84, w1 = 4213.883, w2 = 4125.059, dw = -0.05383, nw = 1651 141024.0037.ec.fits: ap = 85, w1 = 4183.134, w2 = 4094.959, dw = -0.05344, nw = 1651 141024.0037.ec.fits: ap = 86, w1 = 4152.83, w2 = 4065.296, dw = -0.05305, nw = 1651 141024.0037.ec.fits: ap = 87, w1 = 4122.963, w2 = 4036.059, dw = -0.05267, nw = 1651 141024.0037.ec.fits: ap = 88, w1 = 4093.523, w2 = 4007.24, dw = -0.05229, nw = 1651 141024.0037.ec.fits: ap = 89, w1 = 4064.5, w2 = 3978.83, dw = -0.05192, nw = 1651 141024.0037.ec.fits: ap = 90, w1 = 4035.886, w2 = 3950.82, dw = -0.05156, nw = 1651 141024.0037.ec.fits: ap = 91, w1 = 4007.673, w2 = 3923.202, dw = -0.05119, nw = 1651 141024.0037.ec.fits: ap = 92, w1 = 3979.852, w2 = 3895.968, dw = -0.05084, nw = 1651 141024.0037.ec.fits: ap = 93, w1 = 3952.414, w2 = 3869.109, dw = -0.05049, nw = 1651 141024.0037.ec.fits: ap = 94, w1 = 3925.352, w2 = 3842.619, dw = -0.05014, nw = 1651 141024.0037.ec.fits: ap = 95, w1 = 3898.659, w2 = 3816.489, dw = -0.0498, nw = 1651 141024.0037.ec.fits: ap = 96, w1 = 3872.327, w2 = 3790.712, dw = -0.04946, nw = 1651 141024.0037.ec.fits: ap = 97, w1 = 3846.348, w2 = 3765.281, dw = -0.04913, nw = 1651 141024.0037.ec.fits: ap = 98, w1 = 3820.715, w2 = 3740.189, dw = -0.0488, nw = 1651 141024.0037.ec.fits: ap = 99, w1 = 3795.422, w2 = 3715.43, dw = -0.04848, nw = 1651 141024.0037.ec.fits: ap = 100, w1 = 3770.463, w2 = 3690.996, dw = -0.04816, nw = 1651 141024.0037.ec.fits: ap = 101, w1 = 3745.829, w2 = 3666.882, dw = -0.04785, nw = 1651 141024.0037.ec.fits: ap = 102, w1 = 3721.516, w2 = 3643.081, dw = -0.04754, nw = 1651 141024.0037.ec.fits: ap = 103, w1 = 3697.516, w2 = 3619.587, dw = -0.04723, nw = 1651 141024.0037.ec.fits: ap = 104, w1 = 3673.824, w2 = 3596.395, dw = -0.04693, nw = 1651 141024.0037.ec.fits: ap = 105, w1 = 3650.434, w2 = 3573.498, dw = -0.04663, nw = 1651 141024.0037.ec.fits: ap = 106, w1 = 3627.34, w2 = 3550.89, dw = -0.04633, nw = 1651 141024.0037.ec.fits: ap = 107, w1 = 3604.537, w2 = 3528.568, dw = -0.04604, nw = 1651 141024.0037.ec.fits: ap = 108, w1 = 3582.019, w2 = 3506.524, dw = -0.04575, nw = 1651 141024.0037.ec.fits: ap = 109, w1 = 3559.781, w2 = 3484.754, dw = -0.04547, nw = 1651 141024.0037.ec.fits: ap = 110, w1 = 3537.817, w2 = 3463.253, dw = -0.04519, nw = 1651 141024.0037.ec.fits: ap = 111, w1 = 3516.123, w2 = 3442.016, dw = -0.04491, nw = 1651 141024.0037.ec.fits: ap = 112, w1 = 3494.694, w2 = 3421.037, dw = -0.04464, nw = 1651 141024.0037.ec.fits: ap = 113, w1 = 3473.524, w2 = 3400.313, dw = -0.04437, nw = 1651 141024.0037.ec.fits: ap = 114, w1 = 3452.61, w2 = 3379.839, dw = -0.0441, nw = 1651 141024.0037.ec.fits: ap = 115, w1 = 3431.946, w2 = 3359.61, dw = -0.04384, nw = 1651 141024.0039.ec.fits: REFSPEC1 = 'EchelleThAr.0038.ec 0.82203329' 141024.0039.ec.fits: REFSPEC2 = 'EchelleThAr.0042.ec 0.17796674' 141024.0039.ec.fits: ap = 1, w1 = 10811.62, w2 = 10583.44, dw = -0.13829, nw = 1651 141024.0039.ec.fits: ap = 2, w1 = 10611.42, w2 = 10387.47, dw = -0.13573, nw = 1651 141024.0039.ec.fits: ap = 3, w1 = 10418.51, w2 = 10198.63, dw = -0.13326, nw = 1651 141024.0039.ec.fits: ap = 4, w1 = 10232.48, w2 = 10016.53, dw = -0.13088, nw = 1651 141024.0039.ec.fits: ap = 5, w1 = 10052.98, w2 = 9840.816, dw = -0.12858, nw = 1651 141024.0039.ec.fits: ap = 6, w1 = 9879.665, w2 = 9671.164, dw = -0.12636, nw = 1651 141024.0039.ec.fits: ap = 7, w1 = 9712.228, w2 = 9507.263, dw = -0.12422, nw = 1651 141024.0039.ec.fits: ap = 8, w1 = 9550.372, w2 = 9348.825, dw = -0.12215, nw = 1651 141024.0039.ec.fits: ap = 9, w1 = 9393.822, w2 = 9195.582, dw = -0.12015, nw = 1651 141024.0039.ec.fits: ap = 10, w1 = 9242.322, w2 = 9047.281, dw = -0.11821, nw = 1651 141024.0039.ec.fits: ap = 11, w1 = 9095.631, w2 = 8903.688, dw = -0.11633, nw = 1651 141024.0039.ec.fits: ap = 12, w1 = 8953.525, w2 = 8764.583, dw = -0.11451, nw = 1651 141024.0039.ec.fits: ap = 13, w1 = 8815.79, w2 = 8629.758, dw = -0.11275, nw = 1651 141024.0039.ec.fits: ap = 14, w1 = 8682.229, w2 = 8499.018, dw = -0.11104, nw = 1651 141024.0039.ec.fits: ap = 15, w1 = 8552.655, w2 = 8372.181, dw = -0.10938, nw = 1651 141024.0039.ec.fits: ap = 16, w1 = 8426.892, w2 = 8249.074, dw = -0.10777, nw = 1651 141024.0039.ec.fits: ap = 17, w1 = 8304.774, w2 = 8129.535, dw = -0.10621, nw = 1651 141024.0039.ec.fits: ap = 18, w1 = 8186.145, w2 = 8013.411, dw = -0.10469, nw = 1651 141024.0039.ec.fits: ap = 19, w1 = 8070.857, w2 = 7900.559, dw = -0.10321, nw = 1651 141024.0039.ec.fits: ap = 20, w1 = 7958.772, w2 = 7790.841, dw = -0.10178, nw = 1651 141024.0039.ec.fits: ap = 21, w1 = 7849.758, w2 = 7684.13, dw = -0.10038, nw = 1651 141024.0039.ec.fits: ap = 22, w1 = 7743.69, w2 = 7580.302, dw = -0.09902, nw = 1651 141024.0039.ec.fits: ap = 23, w1 = 7640.45, w2 = 7479.243, dw = -0.0977, nw = 1651 141024.0039.ec.fits: ap = 24, w1 = 7539.927, w2 = 7380.843, dw = -0.09641, nw = 1651 141024.0039.ec.fits: ap = 25, w1 = 7442.015, w2 = 7284.999, dw = -0.09516, nw = 1651 141024.0039.ec.fits: ap = 26, w1 = 7346.613, w2 = 7191.613, dw = -0.09394, nw = 1651 141024.0039.ec.fits: ap = 27, w1 = 7253.627, w2 = 7100.591, dw = -0.09275, nw = 1651 141024.0039.ec.fits: ap = 28, w1 = 7162.966, w2 = 7011.844, dw = -0.09159, nw = 1651 141024.0039.ec.fits: ap = 29, w1 = 7074.542, w2 = 6925.289, dw = -0.09046, nw = 1651 141024.0039.ec.fits: ap = 30, w1 = 6988.276, w2 = 6840.845, dw = -0.08935, nw = 1651 141024.0039.ec.fits: ap = 31, w1 = 6904.088, w2 = 6758.436, dw = -0.08827, nw = 1651 141024.0039.ec.fits: ap = 32, w1 = 6821.905, w2 = 6677.989, dw = -0.08722, nw = 1651 141024.0039.ec.fits: ap = 33, w1 = 6741.656, w2 = 6599.434, dw = -0.08619, nw = 1651 141024.0039.ec.fits: ap = 34, w1 = 6663.272, w2 = 6522.707, dw = -0.08519, nw = 1651 141024.0039.ec.fits: ap = 35, w1 = 6586.691, w2 = 6447.743, dw = -0.08421, nw = 1651 141024.0039.ec.fits: ap = 36, w1 = 6511.85, w2 = 6374.484, dw = -0.08325, nw = 1651 141024.0039.ec.fits: ap = 37, w1 = 6438.692, w2 = 6302.87, dw = -0.08232, nw = 1651 141024.0039.ec.fits: ap = 38, w1 = 6367.158, w2 = 6232.848, dw = -0.0814, nw = 1651 141024.0039.ec.fits: ap = 39, w1 = 6297.198, w2 = 6164.365, dw = -0.0805, nw = 1651 141024.0039.ec.fits: ap = 40, w1 = 6228.758, w2 = 6097.371, dw = -0.07963, nw = 1651 141024.0039.ec.fits: ap = 41, w1 = 6161.79, w2 = 6031.818, dw = -0.07877, nw = 1651 141024.0039.ec.fits: ap = 42, w1 = 6096.246, w2 = 5967.66, dw = -0.07793, nw = 1651 141024.0039.ec.fits: ap = 43, w1 = 6032.083, w2 = 5904.852, dw = -0.07711, nw = 1651 141024.0039.ec.fits: ap = 44, w1 = 5969.257, w2 = 5843.353, dw = -0.07631, nw = 1651 141024.0039.ec.fits: ap = 45, w1 = 5907.726, w2 = 5783.122, dw = -0.07552, nw = 1651 141024.0039.ec.fits: ap = 46, w1 = 5847.451, w2 = 5724.12, dw = -0.07475, nw = 1651 141024.0039.ec.fits: ap = 47, w1 = 5788.393, w2 = 5666.309, dw = -0.07399, nw = 1651 141024.0039.ec.fits: ap = 48, w1 = 5730.517, w2 = 5609.656, dw = -0.07325, nw = 1651 141024.0039.ec.fits: ap = 49, w1 = 5673.787, w2 = 5554.125, dw = -0.07252, nw = 1651 141024.0039.ec.fits: ap = 50, w1 = 5618.169, w2 = 5499.682, dw = -0.07181, nw = 1651 141024.0039.ec.fits: ap = 51, w1 = 5563.632, w2 = 5446.297, dw = -0.07111, nw = 1651 141024.0039.ec.fits: ap = 52, w1 = 5510.143, w2 = 5393.938, dw = -0.07043, nw = 1651 141024.0039.ec.fits: ap = 53, w1 = 5457.673, w2 = 5342.577, dw = -0.06976, nw = 1651 141024.0039.ec.fits: ap = 54, w1 = 5406.194, w2 = 5292.185, dw = -0.0691, nw = 1651 141024.0039.ec.fits: ap = 55, w1 = 5355.677, w2 = 5242.735, dw = -0.06845, nw = 1651 141024.0039.ec.fits: ap = 56, w1 = 5306.095, w2 = 5194.201, dw = -0.06781, nw = 1651 141024.0039.ec.fits: ap = 57, w1 = 5257.423, w2 = 5146.557, dw = -0.06719, nw = 1651 141024.0039.ec.fits: ap = 58, w1 = 5209.636, w2 = 5099.78, dw = -0.06658, nw = 1651 141024.0039.ec.fits: ap = 59, w1 = 5162.711, w2 = 5053.846, dw = -0.06598, nw = 1651 141024.0039.ec.fits: ap = 60, w1 = 5116.623, w2 = 5008.732, dw = -0.06539, nw = 1651 141024.0039.ec.fits: ap = 61, w1 = 5071.352, w2 = 4964.417, dw = -0.06481, nw = 1651 141024.0039.ec.fits: ap = 62, w1 = 5026.875, w2 = 4920.879, dw = -0.06424, nw = 1651 141024.0039.ec.fits: ap = 63, w1 = 4983.171, w2 = 4878.099, dw = -0.06368, nw = 1651 141024.0039.ec.fits: ap = 64, w1 = 4940.221, w2 = 4836.056, dw = -0.06313, nw = 1651 141024.0039.ec.fits: ap = 65, w1 = 4898.006, w2 = 4794.732, dw = -0.06259, nw = 1651 141024.0039.ec.fits: ap = 66, w1 = 4856.505, w2 = 4754.109, dw = -0.06206, nw = 1651 141024.0039.ec.fits: ap = 67, w1 = 4815.703, w2 = 4714.168, dw = -0.06154, nw = 1651 141024.0039.ec.fits: ap = 68, w1 = 4775.58, w2 = 4674.893, dw = -0.06102, nw = 1651 141024.0039.ec.fits: ap = 69, w1 = 4736.121, w2 = 4636.267, dw = -0.06052, nw = 1651 141024.0039.ec.fits: ap = 70, w1 = 4697.309, w2 = 4598.275, dw = -0.06002, nw = 1651 141024.0039.ec.fits: ap = 71, w1 = 4659.128, w2 = 4560.901, dw = -0.05953, nw = 1651 141024.0039.ec.fits: ap = 72, w1 = 4621.563, w2 = 4524.129, dw = -0.05905, nw = 1651 141024.0039.ec.fits: ap = 73, w1 = 4584.6, w2 = 4487.946, dw = -0.05858, nw = 1651 141024.0039.ec.fits: ap = 74, w1 = 4548.223, w2 = 4452.337, dw = -0.05811, nw = 1651 141024.0039.ec.fits: ap = 75, w1 = 4512.419, w2 = 4417.289, dw = -0.05765, nw = 1651 141024.0039.ec.fits: ap = 76, w1 = 4477.174, w2 = 4382.789, dw = -0.0572, nw = 1651 141024.0039.ec.fits: ap = 77, w1 = 4442.477, w2 = 4348.824, dw = -0.05676, nw = 1651 141024.0039.ec.fits: ap = 78, w1 = 4408.313, w2 = 4315.382, dw = -0.05632, nw = 1651 141024.0039.ec.fits: ap = 79, w1 = 4374.67, w2 = 4282.45, dw = -0.05589, nw = 1651 141024.0039.ec.fits: ap = 80, w1 = 4341.538, w2 = 4250.017, dw = -0.05547, nw = 1651 141024.0039.ec.fits: ap = 81, w1 = 4308.904, w2 = 4218.072, dw = -0.05505, nw = 1651 141024.0039.ec.fits: ap = 82, w1 = 4276.757, w2 = 4186.604, dw = -0.05464, nw = 1651 141024.0039.ec.fits: ap = 83, w1 = 4245.087, w2 = 4155.602, dw = -0.05423, nw = 1651 141024.0039.ec.fits: ap = 84, w1 = 4213.882, w2 = 4125.056, dw = -0.05383, nw = 1651 141024.0039.ec.fits: ap = 85, w1 = 4183.133, w2 = 4094.956, dw = -0.05344, nw = 1651 141024.0039.ec.fits: ap = 86, w1 = 4152.83, w2 = 4065.293, dw = -0.05305, nw = 1651 141024.0039.ec.fits: ap = 87, w1 = 4122.963, w2 = 4036.056, dw = -0.05267, nw = 1651 141024.0039.ec.fits: ap = 88, w1 = 4093.523, w2 = 4007.237, dw = -0.05229, nw = 1651 141024.0039.ec.fits: ap = 89, w1 = 4064.5, w2 = 3978.827, dw = -0.05192, nw = 1651 141024.0039.ec.fits: ap = 90, w1 = 4035.886, w2 = 3950.817, dw = -0.05156, nw = 1651 141024.0039.ec.fits: ap = 91, w1 = 4007.673, w2 = 3923.199, dw = -0.0512, nw = 1651 141024.0039.ec.fits: ap = 92, w1 = 3979.851, w2 = 3895.965, dw = -0.05084, nw = 1651 141024.0039.ec.fits: ap = 93, w1 = 3952.414, w2 = 3869.106, dw = -0.05049, nw = 1651 141024.0039.ec.fits: ap = 94, w1 = 3925.352, w2 = 3842.615, dw = -0.05014, nw = 1651 141024.0039.ec.fits: ap = 95, w1 = 3898.659, w2 = 3816.485, dw = -0.0498, nw = 1651 141024.0039.ec.fits: ap = 96, w1 = 3872.326, w2 = 3790.708, dw = -0.04947, nw = 1651 141024.0039.ec.fits: ap = 97, w1 = 3846.347, w2 = 3765.277, dw = -0.04913, nw = 1651 141024.0039.ec.fits: ap = 98, w1 = 3820.715, w2 = 3740.185, dw = -0.04881, nw = 1651 141024.0039.ec.fits: ap = 99, w1 = 3795.422, w2 = 3715.425, dw = -0.04848, nw = 1651 141024.0039.ec.fits: ap = 100, w1 = 3770.462, w2 = 3690.991, dw = -0.04816, nw = 1651 141024.0039.ec.fits: ap = 101, w1 = 3745.827, w2 = 3666.876, dw = -0.04785, nw = 1651 141024.0039.ec.fits: ap = 102, w1 = 3721.514, w2 = 3643.075, dw = -0.04754, nw = 1651 141024.0039.ec.fits: ap = 103, w1 = 3697.515, w2 = 3619.582, dw = -0.04723, nw = 1651 141024.0039.ec.fits: ap = 104, w1 = 3673.823, w2 = 3596.389, dw = -0.04693, nw = 1651 141024.0039.ec.fits: ap = 105, w1 = 3650.433, w2 = 3573.493, dw = -0.04663, nw = 1651 141024.0039.ec.fits: ap = 106, w1 = 3627.339, w2 = 3550.885, dw = -0.04634, nw = 1651 141024.0039.ec.fits: ap = 107, w1 = 3604.535, w2 = 3528.562, dw = -0.04604, nw = 1651 141024.0039.ec.fits: ap = 108, w1 = 3582.017, w2 = 3506.518, dw = -0.04576, nw = 1651 141024.0039.ec.fits: ap = 109, w1 = 3559.778, w2 = 3484.748, dw = -0.04547, nw = 1651 141024.0039.ec.fits: ap = 110, w1 = 3537.814, w2 = 3463.246, dw = -0.04519, nw = 1651 141024.0039.ec.fits: ap = 111, w1 = 3516.12, w2 = 3442.009, dw = -0.04492, nw = 1651 141024.0039.ec.fits: ap = 112, w1 = 3494.69, w2 = 3421.03, dw = -0.04464, nw = 1651 141024.0039.ec.fits: ap = 113, w1 = 3473.52, w2 = 3400.306, dw = -0.04437, nw = 1651 141024.0039.ec.fits: ap = 114, w1 = 3452.606, w2 = 3379.832, dw = -0.04411, nw = 1651 141024.0039.ec.fits: ap = 115, w1 = 3431.941, w2 = 3359.602, dw = -0.04384, nw = 1651 141024.0040.ec.fits: REFSPEC1 = 'EchelleThAr.0038.ec 0.56700569' 141024.0040.ec.fits: REFSPEC2 = 'EchelleThAr.0042.ec 0.43299431' 141024.0040.ec.fits: ap = 1, w1 = 10811.61, w2 = 10583.44, dw = -0.13828, nw = 1651 141024.0040.ec.fits: ap = 2, w1 = 10611.41, w2 = 10387.47, dw = -0.13572, nw = 1651 141024.0040.ec.fits: ap = 3, w1 = 10418.5, w2 = 10198.63, dw = -0.13325, nw = 1651 141024.0040.ec.fits: ap = 4, w1 = 10232.47, w2 = 10016.53, dw = -0.13087, nw = 1651 141024.0040.ec.fits: ap = 5, w1 = 10052.97, w2 = 9840.818, dw = -0.12858, nw = 1651 141024.0040.ec.fits: ap = 6, w1 = 9879.658, w2 = 9671.165, dw = -0.12636, nw = 1651 141024.0040.ec.fits: ap = 7, w1 = 9712.221, w2 = 9507.264, dw = -0.12422, nw = 1651 141024.0040.ec.fits: ap = 8, w1 = 9550.366, w2 = 9348.825, dw = -0.12215, nw = 1651 141024.0040.ec.fits: ap = 9, w1 = 9393.817, w2 = 9195.582, dw = -0.12014, nw = 1651 141024.0040.ec.fits: ap = 10, w1 = 9242.317, w2 = 9047.28, dw = -0.1182, nw = 1651 141024.0040.ec.fits: ap = 11, w1 = 9095.626, w2 = 8903.687, dw = -0.11633, nw = 1651 141024.0040.ec.fits: ap = 12, w1 = 8953.52, w2 = 8764.582, dw = -0.11451, nw = 1651 141024.0040.ec.fits: ap = 13, w1 = 8815.786, w2 = 8629.756, dw = -0.11275, nw = 1651 141024.0040.ec.fits: ap = 14, w1 = 8682.225, w2 = 8499.016, dw = -0.11104, nw = 1651 141024.0040.ec.fits: ap = 15, w1 = 8552.651, w2 = 8372.178, dw = -0.10938, nw = 1651 141024.0040.ec.fits: ap = 16, w1 = 8426.888, w2 = 8249.071, dw = -0.10777, nw = 1651 141024.0040.ec.fits: ap = 17, w1 = 8304.771, w2 = 8129.532, dw = -0.1062, nw = 1651 141024.0040.ec.fits: ap = 18, w1 = 8186.142, w2 = 8013.409, dw = -0.10469, nw = 1651 141024.0040.ec.fits: ap = 19, w1 = 8070.854, w2 = 7900.556, dw = -0.10321, nw = 1651 141024.0040.ec.fits: ap = 20, w1 = 7958.769, w2 = 7790.839, dw = -0.10178, nw = 1651 141024.0040.ec.fits: ap = 21, w1 = 7849.755, w2 = 7684.127, dw = -0.10038, nw = 1651 141024.0040.ec.fits: ap = 22, w1 = 7743.687, w2 = 7580.299, dw = -0.09902, nw = 1651 141024.0040.ec.fits: ap = 23, w1 = 7640.447, w2 = 7479.24, dw = -0.0977, nw = 1651 141024.0040.ec.fits: ap = 24, w1 = 7539.924, w2 = 7380.84, dw = -0.09641, nw = 1651 141024.0040.ec.fits: ap = 25, w1 = 7442.012, w2 = 7284.996, dw = -0.09516, nw = 1651 141024.0040.ec.fits: ap = 26, w1 = 7346.611, w2 = 7191.61, dw = -0.09394, nw = 1651 141024.0040.ec.fits: ap = 27, w1 = 7253.624, w2 = 7100.588, dw = -0.09275, nw = 1651 141024.0040.ec.fits: ap = 28, w1 = 7162.963, w2 = 7011.842, dw = -0.09159, nw = 1651 141024.0040.ec.fits: ap = 29, w1 = 7074.54, w2 = 6925.287, dw = -0.09046, nw = 1651 141024.0040.ec.fits: ap = 30, w1 = 6988.273, w2 = 6840.842, dw = -0.08935, nw = 1651 141024.0040.ec.fits: ap = 31, w1 = 6904.086, w2 = 6758.433, dw = -0.08827, nw = 1651 141024.0040.ec.fits: ap = 32, w1 = 6821.903, w2 = 6677.986, dw = -0.08722, nw = 1651 141024.0040.ec.fits: ap = 33, w1 = 6741.653, w2 = 6599.432, dw = -0.08619, nw = 1651 141024.0040.ec.fits: ap = 34, w1 = 6663.27, w2 = 6522.705, dw = -0.08519, nw = 1651 141024.0040.ec.fits: ap = 35, w1 = 6586.689, w2 = 6447.741, dw = -0.08421, nw = 1651 141024.0040.ec.fits: ap = 36, w1 = 6511.848, w2 = 6374.482, dw = -0.08325, nw = 1651 141024.0040.ec.fits: ap = 37, w1 = 6438.69, w2 = 6302.868, dw = -0.08232, nw = 1651 141024.0040.ec.fits: ap = 38, w1 = 6367.157, w2 = 6232.847, dw = -0.0814, nw = 1651 141024.0040.ec.fits: ap = 39, w1 = 6297.196, w2 = 6164.364, dw = -0.0805, nw = 1651 141024.0040.ec.fits: ap = 40, w1 = 6228.756, w2 = 6097.37, dw = -0.07963, nw = 1651 141024.0040.ec.fits: ap = 41, w1 = 6161.788, w2 = 6031.817, dw = -0.07877, nw = 1651 141024.0040.ec.fits: ap = 42, w1 = 6096.245, w2 = 5967.658, dw = -0.07793, nw = 1651 141024.0040.ec.fits: ap = 43, w1 = 6032.082, w2 = 5904.851, dw = -0.07711, nw = 1651 141024.0040.ec.fits: ap = 44, w1 = 5969.256, w2 = 5843.352, dw = -0.07631, nw = 1651 141024.0040.ec.fits: ap = 45, w1 = 5907.725, w2 = 5783.121, dw = -0.07552, nw = 1651 141024.0040.ec.fits: ap = 46, w1 = 5847.45, w2 = 5724.119, dw = -0.07475, nw = 1651 141024.0040.ec.fits: ap = 47, w1 = 5788.392, w2 = 5666.309, dw = -0.07399, nw = 1651 141024.0040.ec.fits: ap = 48, w1 = 5730.516, w2 = 5609.656, dw = -0.07325, nw = 1651 141024.0040.ec.fits: ap = 49, w1 = 5673.786, w2 = 5554.124, dw = -0.07252, nw = 1651 141024.0040.ec.fits: ap = 50, w1 = 5618.169, w2 = 5499.682, dw = -0.07181, nw = 1651 141024.0040.ec.fits: ap = 51, w1 = 5563.631, w2 = 5446.296, dw = -0.07111, nw = 1651 141024.0040.ec.fits: ap = 52, w1 = 5510.143, w2 = 5393.938, dw = -0.07043, nw = 1651 141024.0040.ec.fits: ap = 53, w1 = 5457.673, w2 = 5342.577, dw = -0.06976, nw = 1651 141024.0040.ec.fits: ap = 54, w1 = 5406.194, w2 = 5292.185, dw = -0.0691, nw = 1651 141024.0040.ec.fits: ap = 55, w1 = 5355.677, w2 = 5242.735, dw = -0.06845, nw = 1651 141024.0040.ec.fits: ap = 56, w1 = 5306.095, w2 = 5194.201, dw = -0.06781, nw = 1651 141024.0040.ec.fits: ap = 57, w1 = 5257.424, w2 = 5146.557, dw = -0.06719, nw = 1651 141024.0040.ec.fits: ap = 58, w1 = 5209.637, w2 = 5099.78, dw = -0.06658, nw = 1651 141024.0040.ec.fits: ap = 59, w1 = 5162.712, w2 = 5053.846, dw = -0.06598, nw = 1651 141024.0040.ec.fits: ap = 60, w1 = 5116.624, w2 = 5008.732, dw = -0.06539, nw = 1651 141024.0040.ec.fits: ap = 61, w1 = 5071.353, w2 = 4964.417, dw = -0.06481, nw = 1651 141024.0040.ec.fits: ap = 62, w1 = 5026.876, w2 = 4920.879, dw = -0.06424, nw = 1651 141024.0040.ec.fits: ap = 63, w1 = 4983.172, w2 = 4878.098, dw = -0.06368, nw = 1651 141024.0040.ec.fits: ap = 64, w1 = 4940.222, w2 = 4836.056, dw = -0.06313, nw = 1651 141024.0040.ec.fits: ap = 65, w1 = 4898.006, w2 = 4794.732, dw = -0.06259, nw = 1651 141024.0040.ec.fits: ap = 66, w1 = 4856.506, w2 = 4754.108, dw = -0.06206, nw = 1651 141024.0040.ec.fits: ap = 67, w1 = 4815.703, w2 = 4714.167, dw = -0.06154, nw = 1651 141024.0040.ec.fits: ap = 68, w1 = 4775.581, w2 = 4674.892, dw = -0.06102, nw = 1651 141024.0040.ec.fits: ap = 69, w1 = 4736.122, w2 = 4636.266, dw = -0.06052, nw = 1651 141024.0040.ec.fits: ap = 70, w1 = 4697.309, w2 = 4598.274, dw = -0.06002, nw = 1651 141024.0040.ec.fits: ap = 71, w1 = 4659.128, w2 = 4560.899, dw = -0.05953, nw = 1651 141024.0040.ec.fits: ap = 72, w1 = 4621.563, w2 = 4524.128, dw = -0.05905, nw = 1651 141024.0040.ec.fits: ap = 73, w1 = 4584.599, w2 = 4487.944, dw = -0.05858, nw = 1651 141024.0040.ec.fits: ap = 74, w1 = 4548.222, w2 = 4452.336, dw = -0.05811, nw = 1651 141024.0040.ec.fits: ap = 75, w1 = 4512.418, w2 = 4417.288, dw = -0.05765, nw = 1651 141024.0040.ec.fits: ap = 76, w1 = 4477.173, w2 = 4382.787, dw = -0.0572, nw = 1651 141024.0040.ec.fits: ap = 77, w1 = 4442.475, w2 = 4348.822, dw = -0.05676, nw = 1651 141024.0040.ec.fits: ap = 78, w1 = 4408.311, w2 = 4315.379, dw = -0.05632, nw = 1651 141024.0040.ec.fits: ap = 79, w1 = 4374.668, w2 = 4282.447, dw = -0.05589, nw = 1651 141024.0040.ec.fits: ap = 80, w1 = 4341.535, w2 = 4250.014, dw = -0.05547, nw = 1651 141024.0040.ec.fits: ap = 81, w1 = 4308.9, w2 = 4218.069, dw = -0.05505, nw = 1651 141024.0040.ec.fits: ap = 82, w1 = 4276.753, w2 = 4186.6, dw = -0.05464, nw = 1651 141024.0040.ec.fits: ap = 83, w1 = 4245.082, w2 = 4155.598, dw = -0.05423, nw = 1651 141024.0040.ec.fits: ap = 84, w1 = 4213.877, w2 = 4125.052, dw = -0.05383, nw = 1651 141024.0040.ec.fits: ap = 85, w1 = 4183.127, w2 = 4094.952, dw = -0.05344, nw = 1651 141024.0040.ec.fits: ap = 86, w1 = 4152.823, w2 = 4065.288, dw = -0.05305, nw = 1651 141024.0040.ec.fits: ap = 87, w1 = 4122.955, w2 = 4036.051, dw = -0.05267, nw = 1651 141024.0040.ec.fits: ap = 88, w1 = 4093.514, w2 = 4007.231, dw = -0.05229, nw = 1651 141024.0040.ec.fits: ap = 89, w1 = 4064.49, w2 = 3978.821, dw = -0.05192, nw = 1651 141024.0040.ec.fits: ap = 90, w1 = 4035.876, w2 = 3950.811, dw = -0.05155, nw = 1651 141024.0040.ec.fits: ap = 91, w1 = 4007.661, w2 = 3923.192, dw = -0.05119, nw = 1651 141024.0040.ec.fits: ap = 92, w1 = 3979.839, w2 = 3895.957, dw = -0.05084, nw = 1651 141024.0040.ec.fits: ap = 93, w1 = 3952.4, w2 = 3869.098, dw = -0.05049, nw = 1651 141024.0040.ec.fits: ap = 94, w1 = 3925.337, w2 = 3842.607, dw = -0.05014, nw = 1651 141024.0040.ec.fits: ap = 95, w1 = 3898.642, w2 = 3816.476, dw = -0.0498, nw = 1651 141024.0040.ec.fits: ap = 96, w1 = 3872.308, w2 = 3790.699, dw = -0.04946, nw = 1651 141024.0040.ec.fits: ap = 97, w1 = 3846.328, w2 = 3765.267, dw = -0.04913, nw = 1651 141024.0040.ec.fits: ap = 98, w1 = 3820.694, w2 = 3740.175, dw = -0.0488, nw = 1651 141024.0040.ec.fits: ap = 99, w1 = 3795.399, w2 = 3715.415, dw = -0.04848, nw = 1651 141024.0040.ec.fits: ap = 100, w1 = 3770.437, w2 = 3690.98, dw = -0.04816, nw = 1651 141024.0040.ec.fits: ap = 101, w1 = 3745.802, w2 = 3666.865, dw = -0.04784, nw = 1651 141024.0040.ec.fits: ap = 102, w1 = 3721.486, w2 = 3643.064, dw = -0.04753, nw = 1651 141024.0040.ec.fits: ap = 103, w1 = 3697.485, w2 = 3619.569, dw = -0.04722, nw = 1651 141024.0040.ec.fits: ap = 104, w1 = 3673.791, w2 = 3596.376, dw = -0.04692, nw = 1651 141024.0040.ec.fits: ap = 105, w1 = 3650.399, w2 = 3573.479, dw = -0.04662, nw = 1651 141024.0040.ec.fits: ap = 106, w1 = 3627.303, w2 = 3550.871, dw = -0.04632, nw = 1651 141024.0040.ec.fits: ap = 107, w1 = 3604.496, w2 = 3528.547, dw = -0.04603, nw = 1651 141024.0040.ec.fits: ap = 108, w1 = 3581.976, w2 = 3506.502, dw = -0.04574, nw = 1651 141024.0040.ec.fits: ap = 109, w1 = 3559.735, w2 = 3484.731, dw = -0.04546, nw = 1651 141024.0040.ec.fits: ap = 110, w1 = 3537.768, w2 = 3463.23, dw = -0.04517, nw = 1651 141024.0040.ec.fits: ap = 111, w1 = 3516.071, w2 = 3441.991, dw = -0.0449, nw = 1651 141024.0040.ec.fits: ap = 112, w1 = 3494.639, w2 = 3421.012, dw = -0.04462, nw = 1651 141024.0040.ec.fits: ap = 113, w1 = 3473.466, w2 = 3400.287, dw = -0.04435, nw = 1651 141024.0040.ec.fits: ap = 114, w1 = 3452.548, w2 = 3379.812, dw = -0.04408, nw = 1651 141024.0040.ec.fits: ap = 115, w1 = 3431.881, w2 = 3359.582, dw = -0.04382, nw = 1651 141024.0041.ec.fits: REFSPEC1 = 'EchelleThAr.0038.ec 0.23066293' 141024.0041.ec.fits: REFSPEC2 = 'EchelleThAr.0042.ec 0.76933706' 141024.0041.ec.fits: ap = 1, w1 = 10811.6, w2 = 10583.45, dw = -0.13827, nw = 1651 141024.0041.ec.fits: ap = 2, w1 = 10611.4, w2 = 10387.48, dw = -0.13571, nw = 1651 141024.0041.ec.fits: ap = 3, w1 = 10418.49, w2 = 10198.63, dw = -0.13324, nw = 1651 141024.0041.ec.fits: ap = 4, w1 = 10232.46, w2 = 10016.53, dw = -0.13086, nw = 1651 141024.0041.ec.fits: ap = 5, w1 = 10052.96, w2 = 9840.821, dw = -0.12857, nw = 1651 141024.0041.ec.fits: ap = 6, w1 = 9879.649, w2 = 9671.167, dw = -0.12635, nw = 1651 141024.0041.ec.fits: ap = 7, w1 = 9712.213, w2 = 9507.265, dw = -0.12421, nw = 1651 141024.0041.ec.fits: ap = 8, w1 = 9550.358, w2 = 9348.826, dw = -0.12214, nw = 1651 141024.0041.ec.fits: ap = 9, w1 = 9393.809, w2 = 9195.581, dw = -0.12014, nw = 1651 141024.0041.ec.fits: ap = 10, w1 = 9242.31, w2 = 9047.28, dw = -0.1182, nw = 1651 141024.0041.ec.fits: ap = 11, w1 = 9095.62, w2 = 8903.686, dw = -0.11632, nw = 1651 141024.0041.ec.fits: ap = 12, w1 = 8953.514, w2 = 8764.58, dw = -0.11451, nw = 1651 141024.0041.ec.fits: ap = 13, w1 = 8815.781, w2 = 8629.754, dw = -0.11274, nw = 1651 141024.0041.ec.fits: ap = 14, w1 = 8682.22, w2 = 8499.013, dw = -0.11103, nw = 1651 141024.0041.ec.fits: ap = 15, w1 = 8552.647, w2 = 8372.176, dw = -0.10938, nw = 1651 141024.0041.ec.fits: ap = 16, w1 = 8426.884, w2 = 8249.068, dw = -0.10777, nw = 1651 141024.0041.ec.fits: ap = 17, w1 = 8304.766, w2 = 8129.529, dw = -0.1062, nw = 1651 141024.0041.ec.fits: ap = 18, w1 = 8186.137, w2 = 8013.405, dw = -0.10469, nw = 1651 141024.0041.ec.fits: ap = 19, w1 = 8070.85, w2 = 7900.553, dw = -0.10321, nw = 1651 141024.0041.ec.fits: ap = 20, w1 = 7958.765, w2 = 7790.835, dw = -0.10178, nw = 1651 141024.0041.ec.fits: ap = 21, w1 = 7849.751, w2 = 7684.123, dw = -0.10038, nw = 1651 141024.0041.ec.fits: ap = 22, w1 = 7743.683, w2 = 7580.295, dw = -0.09902, nw = 1651 141024.0041.ec.fits: ap = 23, w1 = 7640.443, w2 = 7479.236, dw = -0.0977, nw = 1651 141024.0041.ec.fits: ap = 24, w1 = 7539.92, w2 = 7380.837, dw = -0.09641, nw = 1651 141024.0041.ec.fits: ap = 25, w1 = 7442.008, w2 = 7284.993, dw = -0.09516, nw = 1651 141024.0041.ec.fits: ap = 26, w1 = 7346.607, w2 = 7191.607, dw = -0.09394, nw = 1651 141024.0041.ec.fits: ap = 27, w1 = 7253.621, w2 = 7100.585, dw = -0.09275, nw = 1651 141024.0041.ec.fits: ap = 28, w1 = 7162.959, w2 = 7011.838, dw = -0.09159, nw = 1651 141024.0041.ec.fits: ap = 29, w1 = 7074.536, w2 = 6925.283, dw = -0.09046, nw = 1651 141024.0041.ec.fits: ap = 30, w1 = 6988.27, w2 = 6840.839, dw = -0.08935, nw = 1651 141024.0041.ec.fits: ap = 31, w1 = 6904.083, w2 = 6758.43, dw = -0.08827, nw = 1651 141024.0041.ec.fits: ap = 32, w1 = 6821.899, w2 = 6677.983, dw = -0.08722, nw = 1651 141024.0041.ec.fits: ap = 33, w1 = 6741.65, w2 = 6599.429, dw = -0.08619, nw = 1651 141024.0041.ec.fits: ap = 34, w1 = 6663.267, w2 = 6522.702, dw = -0.08519, nw = 1651 141024.0041.ec.fits: ap = 35, w1 = 6586.686, w2 = 6447.739, dw = -0.08421, nw = 1651 141024.0041.ec.fits: ap = 36, w1 = 6511.845, w2 = 6374.479, dw = -0.08325, nw = 1651 141024.0041.ec.fits: ap = 37, w1 = 6438.687, w2 = 6302.866, dw = -0.08232, nw = 1651 141024.0041.ec.fits: ap = 38, w1 = 6367.154, w2 = 6232.844, dw = -0.0814, nw = 1651 141024.0041.ec.fits: ap = 39, w1 = 6297.193, w2 = 6164.362, dw = -0.0805, nw = 1651 141024.0041.ec.fits: ap = 40, w1 = 6228.754, w2 = 6097.368, dw = -0.07963, nw = 1651 141024.0041.ec.fits: ap = 41, w1 = 6161.786, w2 = 6031.815, dw = -0.07877, nw = 1651 141024.0041.ec.fits: ap = 42, w1 = 6096.243, w2 = 5967.657, dw = -0.07793, nw = 1651 141024.0041.ec.fits: ap = 43, w1 = 6032.08, w2 = 5904.849, dw = -0.07711, nw = 1651 141024.0041.ec.fits: ap = 44, w1 = 5969.254, w2 = 5843.35, dw = -0.07631, nw = 1651 141024.0041.ec.fits: ap = 45, w1 = 5907.723, w2 = 5783.119, dw = -0.07552, nw = 1651 141024.0041.ec.fits: ap = 46, w1 = 5847.448, w2 = 5724.118, dw = -0.07475, nw = 1651 141024.0041.ec.fits: ap = 47, w1 = 5788.391, w2 = 5666.308, dw = -0.07399, nw = 1651 141024.0041.ec.fits: ap = 48, w1 = 5730.515, w2 = 5609.655, dw = -0.07325, nw = 1651 141024.0041.ec.fits: ap = 49, w1 = 5673.786, w2 = 5554.124, dw = -0.07252, nw = 1651 141024.0041.ec.fits: ap = 50, w1 = 5618.168, w2 = 5499.681, dw = -0.07181, nw = 1651 141024.0041.ec.fits: ap = 51, w1 = 5563.631, w2 = 5446.296, dw = -0.07111, nw = 1651 141024.0041.ec.fits: ap = 52, w1 = 5510.143, w2 = 5393.938, dw = -0.07043, nw = 1651 141024.0041.ec.fits: ap = 53, w1 = 5457.674, w2 = 5342.577, dw = -0.06976, nw = 1651 141024.0041.ec.fits: ap = 54, w1 = 5406.194, w2 = 5292.185, dw = -0.0691, nw = 1651 141024.0041.ec.fits: ap = 55, w1 = 5355.677, w2 = 5242.735, dw = -0.06845, nw = 1651 141024.0041.ec.fits: ap = 56, w1 = 5306.096, w2 = 5194.201, dw = -0.06782, nw = 1651 141024.0041.ec.fits: ap = 57, w1 = 5257.424, w2 = 5146.557, dw = -0.06719, nw = 1651 141024.0041.ec.fits: ap = 58, w1 = 5209.638, w2 = 5099.78, dw = -0.06658, nw = 1651 141024.0041.ec.fits: ap = 59, w1 = 5162.712, w2 = 5053.846, dw = -0.06598, nw = 1651 141024.0041.ec.fits: ap = 60, w1 = 5116.625, w2 = 5008.732, dw = -0.06539, nw = 1651 141024.0041.ec.fits: ap = 61, w1 = 5071.354, w2 = 4964.416, dw = -0.06481, nw = 1651 141024.0041.ec.fits: ap = 62, w1 = 5026.876, w2 = 4920.879, dw = -0.06424, nw = 1651 141024.0041.ec.fits: ap = 63, w1 = 4983.173, w2 = 4878.098, dw = -0.06368, nw = 1651 141024.0041.ec.fits: ap = 64, w1 = 4940.223, w2 = 4836.055, dw = -0.06313, nw = 1651 141024.0041.ec.fits: ap = 65, w1 = 4898.007, w2 = 4794.731, dw = -0.06259, nw = 1651 141024.0041.ec.fits: ap = 66, w1 = 4856.507, w2 = 4754.107, dw = -0.06206, nw = 1651 141024.0041.ec.fits: ap = 67, w1 = 4815.704, w2 = 4714.166, dw = -0.06154, nw = 1651 141024.0041.ec.fits: ap = 68, w1 = 4775.581, w2 = 4674.891, dw = -0.06102, nw = 1651 141024.0041.ec.fits: ap = 69, w1 = 4736.122, w2 = 4636.265, dw = -0.06052, nw = 1651 141024.0041.ec.fits: ap = 70, w1 = 4697.31, w2 = 4598.273, dw = -0.06002, nw = 1651 141024.0041.ec.fits: ap = 71, w1 = 4659.128, w2 = 4560.898, dw = -0.05953, nw = 1651 141024.0041.ec.fits: ap = 72, w1 = 4621.563, w2 = 4524.126, dw = -0.05905, nw = 1651 141024.0041.ec.fits: ap = 73, w1 = 4584.599, w2 = 4487.942, dw = -0.05858, nw = 1651 141024.0041.ec.fits: ap = 74, w1 = 4548.221, w2 = 4452.333, dw = -0.05811, nw = 1651 141024.0041.ec.fits: ap = 75, w1 = 4512.416, w2 = 4417.285, dw = -0.05766, nw = 1651 141024.0041.ec.fits: ap = 76, w1 = 4477.171, w2 = 4382.784, dw = -0.0572, nw = 1651 141024.0041.ec.fits: ap = 77, w1 = 4442.473, w2 = 4348.819, dw = -0.05676, nw = 1651 141024.0041.ec.fits: ap = 78, w1 = 4408.308, w2 = 4315.376, dw = -0.05632, nw = 1651 141024.0041.ec.fits: ap = 79, w1 = 4374.665, w2 = 4282.443, dw = -0.05589, nw = 1651 141024.0041.ec.fits: ap = 80, w1 = 4341.531, w2 = 4250.01, dw = -0.05547, nw = 1651 141024.0041.ec.fits: ap = 81, w1 = 4308.896, w2 = 4218.064, dw = -0.05505, nw = 1651 141024.0041.ec.fits: ap = 82, w1 = 4276.748, w2 = 4186.596, dw = -0.05464, nw = 1651 141024.0041.ec.fits: ap = 83, w1 = 4245.076, w2 = 4155.593, dw = -0.05423, nw = 1651 141024.0041.ec.fits: ap = 84, w1 = 4213.87, w2 = 4125.046, dw = -0.05383, nw = 1651 141024.0041.ec.fits: ap = 85, w1 = 4183.119, w2 = 4094.946, dw = -0.05344, nw = 1651 141024.0041.ec.fits: ap = 86, w1 = 4152.814, w2 = 4065.281, dw = -0.05305, nw = 1651 141024.0041.ec.fits: ap = 87, w1 = 4122.945, w2 = 4036.044, dw = -0.05267, nw = 1651 141024.0041.ec.fits: ap = 88, w1 = 4093.503, w2 = 4007.224, dw = -0.05229, nw = 1651 141024.0041.ec.fits: ap = 89, w1 = 4064.478, w2 = 3978.813, dw = -0.05192, nw = 1651 141024.0041.ec.fits: ap = 90, w1 = 4035.862, w2 = 3950.802, dw = -0.05155, nw = 1651 141024.0041.ec.fits: ap = 91, w1 = 4007.646, w2 = 3923.183, dw = -0.05119, nw = 1651 141024.0041.ec.fits: ap = 92, w1 = 3979.822, w2 = 3895.948, dw = -0.05083, nw = 1651 141024.0041.ec.fits: ap = 93, w1 = 3952.381, w2 = 3869.088, dw = -0.05048, nw = 1651 141024.0041.ec.fits: ap = 94, w1 = 3925.317, w2 = 3842.597, dw = -0.05013, nw = 1651 141024.0041.ec.fits: ap = 95, w1 = 3898.62, w2 = 3816.465, dw = -0.04979, nw = 1651 141024.0041.ec.fits: ap = 96, w1 = 3872.284, w2 = 3790.687, dw = -0.04945, nw = 1651 141024.0041.ec.fits: ap = 97, w1 = 3846.302, w2 = 3765.255, dw = -0.04912, nw = 1651 141024.0041.ec.fits: ap = 98, w1 = 3820.666, w2 = 3740.162, dw = -0.04879, nw = 1651 141024.0041.ec.fits: ap = 99, w1 = 3795.369, w2 = 3715.401, dw = -0.04847, nw = 1651 141024.0041.ec.fits: ap = 100, w1 = 3770.405, w2 = 3690.966, dw = -0.04814, nw = 1651 141024.0041.ec.fits: ap = 101, w1 = 3745.767, w2 = 3666.85, dw = -0.04783, nw = 1651 141024.0041.ec.fits: ap = 102, w1 = 3721.449, w2 = 3643.048, dw = -0.04752, nw = 1651 141024.0041.ec.fits: ap = 103, w1 = 3697.445, w2 = 3619.553, dw = -0.04721, nw = 1651 141024.0041.ec.fits: ap = 104, w1 = 3673.749, w2 = 3596.359, dw = -0.0469, nw = 1651 141024.0041.ec.fits: ap = 105, w1 = 3650.354, w2 = 3573.46, dw = -0.0466, nw = 1651 141024.0041.ec.fits: ap = 106, w1 = 3627.254, w2 = 3550.852, dw = -0.0463, nw = 1651 141024.0041.ec.fits: ap = 107, w1 = 3604.445, w2 = 3528.527, dw = -0.04601, nw = 1651 141024.0041.ec.fits: ap = 108, w1 = 3581.922, w2 = 3506.482, dw = -0.04572, nw = 1651 141024.0041.ec.fits: ap = 109, w1 = 3559.677, w2 = 3484.71, dw = -0.04543, nw = 1651 141024.0041.ec.fits: ap = 110, w1 = 3537.707, w2 = 3463.207, dw = -0.04515, nw = 1651 141024.0041.ec.fits: ap = 111, w1 = 3516.007, w2 = 3441.968, dw = -0.04487, nw = 1651 141024.0041.ec.fits: ap = 112, w1 = 3494.571, w2 = 3420.988, dw = -0.0446, nw = 1651 141024.0041.ec.fits: ap = 113, w1 = 3473.394, w2 = 3400.262, dw = -0.04432, nw = 1651 141024.0041.ec.fits: ap = 114, w1 = 3452.473, w2 = 3379.786, dw = -0.04405, nw = 1651 141024.0041.ec.fits: ap = 115, w1 = 3431.801, w2 = 3359.555, dw = -0.04379, nw = 1651 EchelleThAr.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0021.ec 1.' zEchelleThAr.0021.ec.fits: ap = 1, w1 = 10811.71, w2 = 10583.49, dw = -0.13832, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 2, w1 = 10611.51, w2 = 10387.52, dw = -0.13575, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 3, w1 = 10418.58, w2 = 10198.67, dw = -0.13328, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.57, dw = -0.13089, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.858, dw = -0.12859, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 6, w1 = 9879.716, w2 = 9671.205, dw = -0.12637, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 7, w1 = 9712.272, w2 = 9507.302, dw = -0.12422, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 8, w1 = 9550.41, w2 = 9348.863, dw = -0.12215, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 9, w1 = 9393.856, w2 = 9195.618, dw = -0.12014, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 10, w1 = 9242.351, w2 = 9047.316, dw = -0.1182, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 11, w1 = 9095.656, w2 = 8903.722, dw = -0.11632, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.616, dw = -0.1145, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 13, w1 = 8815.808, w2 = 8629.789, dw = -0.11274, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 14, w1 = 8682.245, w2 = 8499.048, dw = -0.11103, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 15, w1 = 8552.668, w2 = 8372.209, dw = -0.10937, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 16, w1 = 8426.902, w2 = 8249.101, dw = -0.10776, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 17, w1 = 8304.782, w2 = 8129.561, dw = -0.10619, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 18, w1 = 8186.152, w2 = 8013.437, dw = -0.10468, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 19, w1 = 8070.863, w2 = 7900.583, dw = -0.1032, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 20, w1 = 7958.776, w2 = 7790.865, dw = -0.10176, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 21, w1 = 7849.761, w2 = 7684.152, dw = -0.10037, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 22, w1 = 7743.692, w2 = 7580.324, dw = -0.09901, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 23, w1 = 7640.452, w2 = 7479.264, dw = -0.09769, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 24, w1 = 7539.928, w2 = 7380.864, dw = -0.0964, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 25, w1 = 7442.016, w2 = 7285.019, dw = -0.09515, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 26, w1 = 7346.614, w2 = 7191.632, dw = -0.09393, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 27, w1 = 7253.628, w2 = 7100.61, dw = -0.09274, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 28, w1 = 7162.966, w2 = 7011.863, dw = -0.09158, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 29, w1 = 7074.543, w2 = 6925.307, dw = -0.09045, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 30, w1 = 6988.277, w2 = 6840.862, dw = -0.08934, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 31, w1 = 6904.089, w2 = 6758.453, dw = -0.08826, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 32, w1 = 6821.906, w2 = 6678.005, dw = -0.08721, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 33, w1 = 6741.657, w2 = 6599.45, dw = -0.08619, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 34, w1 = 6663.274, w2 = 6522.723, dw = -0.08518, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 35, w1 = 6586.693, w2 = 6447.759, dw = -0.0842, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 36, w1 = 6511.853, w2 = 6374.499, dw = -0.08324, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 37, w1 = 6438.695, w2 = 6302.886, dw = -0.08231, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 38, w1 = 6367.162, w2 = 6232.863, dw = -0.08139, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 39, w1 = 6297.202, w2 = 6164.38, dw = -0.0805, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 40, w1 = 6228.762, w2 = 6097.386, dw = -0.07962, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 41, w1 = 6161.795, w2 = 6031.833, dw = -0.07876, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 42, w1 = 6096.252, w2 = 5967.674, dw = -0.07793, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 43, w1 = 6032.089, w2 = 5904.867, dw = -0.0771, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 44, w1 = 5969.263, w2 = 5843.367, dw = -0.0763, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 45, w1 = 5907.733, w2 = 5783.136, dw = -0.07551, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 46, w1 = 5847.458, w2 = 5724.135, dw = -0.07474, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 47, w1 = 5788.401, w2 = 5666.325, dw = -0.07399, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 48, w1 = 5730.525, w2 = 5609.672, dw = -0.07324, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 49, w1 = 5673.796, w2 = 5554.14, dw = -0.07252, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 50, w1 = 5618.178, w2 = 5499.698, dw = -0.07181, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 51, w1 = 5563.641, w2 = 5446.313, dw = -0.07111, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 52, w1 = 5510.153, w2 = 5393.954, dw = -0.07042, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 53, w1 = 5457.683, w2 = 5342.593, dw = -0.06975, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 54, w1 = 5406.204, w2 = 5292.201, dw = -0.06909, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 55, w1 = 5355.687, w2 = 5242.751, dw = -0.06845, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 56, w1 = 5306.105, w2 = 5194.217, dw = -0.06781, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 57, w1 = 5257.433, w2 = 5146.574, dw = -0.06719, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 58, w1 = 5209.646, w2 = 5099.796, dw = -0.06658, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 59, w1 = 5162.721, w2 = 5053.862, dw = -0.06597, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 60, w1 = 5116.633, w2 = 5008.748, dw = -0.06538, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 61, w1 = 5071.361, w2 = 4964.433, dw = -0.0648, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 62, w1 = 5026.883, w2 = 4920.895, dw = -0.06424, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 63, w1 = 4983.179, w2 = 4878.115, dw = -0.06368, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 64, w1 = 4940.229, w2 = 4836.072, dw = -0.06313, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 65, w1 = 4898.012, w2 = 4794.748, dw = -0.06258, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 66, w1 = 4856.512, w2 = 4754.125, dw = -0.06205, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 67, w1 = 4815.709, w2 = 4714.184, dw = -0.06153, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 68, w1 = 4775.586, w2 = 4674.909, dw = -0.06102, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 69, w1 = 4736.126, w2 = 4636.283, dw = -0.06051, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 70, w1 = 4697.313, w2 = 4598.291, dw = -0.06001, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 71, w1 = 4659.131, w2 = 4560.916, dw = -0.05952, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 72, w1 = 4621.565, w2 = 4524.144, dw = -0.05904, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 73, w1 = 4584.601, w2 = 4487.961, dw = -0.05857, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 74, w1 = 4548.223, w2 = 4452.352, dw = -0.0581, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 75, w1 = 4512.418, w2 = 4417.304, dw = -0.05764, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 76, w1 = 4477.172, w2 = 4382.803, dw = -0.05719, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 77, w1 = 4442.473, w2 = 4348.838, dw = -0.05675, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 78, w1 = 4408.308, w2 = 4315.395, dw = -0.05631, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 79, w1 = 4374.664, w2 = 4282.462, dw = -0.05588, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 80, w1 = 4341.531, w2 = 4250.029, dw = -0.05546, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 81, w1 = 4308.895, w2 = 4218.084, dw = -0.05504, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 82, w1 = 4276.747, w2 = 4186.615, dw = -0.05463, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 83, w1 = 4245.075, w2 = 4155.612, dw = -0.05422, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 84, w1 = 4213.869, w2 = 4125.066, dw = -0.05382, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 85, w1 = 4183.118, w2 = 4094.965, dw = -0.05343, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 86, w1 = 4152.813, w2 = 4065.3, dw = -0.05304, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 87, w1 = 4122.944, w2 = 4036.063, dw = -0.05266, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 88, w1 = 4093.502, w2 = 4007.243, dw = -0.05228, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 89, w1 = 4064.478, w2 = 3978.832, dw = -0.05191, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 90, w1 = 4035.862, w2 = 3950.821, dw = -0.05154, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 91, w1 = 4007.647, w2 = 3923.201, dw = -0.05118, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 92, w1 = 3979.823, w2 = 3895.966, dw = -0.05082, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 93, w1 = 3952.384, w2 = 3869.106, dw = -0.05047, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 94, w1 = 3925.32, w2 = 3842.613, dw = -0.05013, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 95, w1 = 3898.625, w2 = 3816.482, dw = -0.04978, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 96, w1 = 3872.29, w2 = 3790.703, dw = -0.04945, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 97, w1 = 3846.309, w2 = 3765.27, dw = -0.04911, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 98, w1 = 3820.674, w2 = 3740.177, dw = -0.04879, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 99, w1 = 3795.379, w2 = 3715.415, dw = -0.04846, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 100, w1 = 3770.417, w2 = 3690.98, dw = -0.04814, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 101, w1 = 3745.781, w2 = 3666.863, dw = -0.04783, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 102, w1 = 3721.465, w2 = 3643.06, dw = -0.04752, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 103, w1 = 3697.463, w2 = 3619.564, dw = -0.04721, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 104, w1 = 3673.768, w2 = 3596.369, dw = -0.04691, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 105, w1 = 3650.376, w2 = 3573.469, dw = -0.04661, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 106, w1 = 3627.279, w2 = 3550.859, dw = -0.04632, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 107, w1 = 3604.474, w2 = 3528.534, dw = -0.04602, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 108, w1 = 3581.953, w2 = 3506.487, dw = -0.04574, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 109, w1 = 3559.712, w2 = 3484.714, dw = -0.04545, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 110, w1 = 3537.745, w2 = 3463.21, dw = -0.04517, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 111, w1 = 3516.049, w2 = 3441.969, dw = -0.0449, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 112, w1 = 3494.617, w2 = 3420.988, dw = -0.04462, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 113, w1 = 3473.444, w2 = 3400.26, dw = -0.04435, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 114, w1 = 3452.527, w2 = 3379.782, dw = -0.04409, nw = 1651 zEchelleThAr.0021.ec.fits: ap = 115, w1 = 3431.86, w2 = 3359.55, dw = -0.04382, nw = 1651 EchelleThAr.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0025.ec 1.' zEchelleThAr.0025.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.52, dw = -0.13827, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.55, dw = -0.13571, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.7, dw = -0.13324, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.6, dw = -0.13086, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.89, dw = -0.12857, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 6, w1 = 9879.713, w2 = 9671.237, dw = -0.12635, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 7, w1 = 9712.277, w2 = 9507.334, dw = -0.12421, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 8, w1 = 9550.422, w2 = 9348.895, dw = -0.12214, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 9, w1 = 9393.872, w2 = 9195.651, dw = -0.12013, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 10, w1 = 9242.373, w2 = 9047.35, dw = -0.1182, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 11, w1 = 9095.682, w2 = 8903.756, dw = -0.11632, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 12, w1 = 8953.576, w2 = 8764.65, dw = -0.1145, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 13, w1 = 8815.842, w2 = 8629.824, dw = -0.11274, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 14, w1 = 8682.281, w2 = 8499.084, dw = -0.11103, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 15, w1 = 8552.707, w2 = 8372.246, dw = -0.10937, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 16, w1 = 8426.943, w2 = 8249.138, dw = -0.10776, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 17, w1 = 8304.825, w2 = 8129.599, dw = -0.1062, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 18, w1 = 8186.196, w2 = 8013.476, dw = -0.10468, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 19, w1 = 8070.908, w2 = 7900.623, dw = -0.1032, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 20, w1 = 7958.822, w2 = 7790.905, dw = -0.10177, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 21, w1 = 7849.808, w2 = 7684.193, dw = -0.10037, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 22, w1 = 7743.739, w2 = 7580.365, dw = -0.09901, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 23, w1 = 7640.499, w2 = 7479.305, dw = -0.09769, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 24, w1 = 7539.976, w2 = 7380.906, dw = -0.09641, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 25, w1 = 7442.063, w2 = 7285.061, dw = -0.09515, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 26, w1 = 7346.661, w2 = 7191.675, dw = -0.09393, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 27, w1 = 7253.675, w2 = 7100.653, dw = -0.09274, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 28, w1 = 7163.013, w2 = 7011.906, dw = -0.09158, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 29, w1 = 7074.589, w2 = 6925.35, dw = -0.09045, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 30, w1 = 6988.322, w2 = 6840.906, dw = -0.08934, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 31, w1 = 6904.134, w2 = 6758.496, dw = -0.08827, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 32, w1 = 6821.951, w2 = 6678.049, dw = -0.08721, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 33, w1 = 6741.701, w2 = 6599.494, dw = -0.08619, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 34, w1 = 6663.317, w2 = 6522.766, dw = -0.08518, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 35, w1 = 6586.736, w2 = 6447.802, dw = -0.0842, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 36, w1 = 6511.894, w2 = 6374.542, dw = -0.08324, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 37, w1 = 6438.735, w2 = 6302.928, dw = -0.08231, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 38, w1 = 6367.202, w2 = 6232.906, dw = -0.08139, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 39, w1 = 6297.241, w2 = 6164.422, dw = -0.0805, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 40, w1 = 6228.8, w2 = 6097.428, dw = -0.07962, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 41, w1 = 6161.832, w2 = 6031.874, dw = -0.07876, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 42, w1 = 6096.289, w2 = 5967.715, dw = -0.07792, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 43, w1 = 6032.125, w2 = 5904.907, dw = -0.0771, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 44, w1 = 5969.298, w2 = 5843.407, dw = -0.0763, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 45, w1 = 5907.767, w2 = 5783.175, dw = -0.07551, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 46, w1 = 5847.492, w2 = 5724.173, dw = -0.07474, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 47, w1 = 5788.434, w2 = 5666.362, dw = -0.07398, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 48, w1 = 5730.558, w2 = 5609.708, dw = -0.07324, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 49, w1 = 5673.828, w2 = 5554.176, dw = -0.07252, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 50, w1 = 5618.21, w2 = 5499.733, dw = -0.0718, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 51, w1 = 5563.672, w2 = 5446.347, dw = -0.07111, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 52, w1 = 5510.183, w2 = 5393.988, dw = -0.07042, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 53, w1 = 5457.714, w2 = 5342.626, dw = -0.06975, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 54, w1 = 5406.234, w2 = 5292.233, dw = -0.06909, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 55, w1 = 5355.716, w2 = 5242.782, dw = -0.06844, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 56, w1 = 5306.134, w2 = 5194.247, dw = -0.06781, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 57, w1 = 5257.462, w2 = 5146.603, dw = -0.06719, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 58, w1 = 5209.675, w2 = 5099.825, dw = -0.06658, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 59, w1 = 5162.749, w2 = 5053.89, dw = -0.06598, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 60, w1 = 5116.662, w2 = 5008.776, dw = -0.06539, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 61, w1 = 5071.39, w2 = 4964.46, dw = -0.06481, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 62, w1 = 5026.912, w2 = 4920.921, dw = -0.06424, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 63, w1 = 4983.208, w2 = 4878.14, dw = -0.06368, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 64, w1 = 4940.257, w2 = 4836.097, dw = -0.06313, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 65, w1 = 4898.041, w2 = 4794.772, dw = -0.06259, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 66, w1 = 4856.541, w2 = 4754.148, dw = -0.06206, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 67, w1 = 4815.738, w2 = 4714.207, dw = -0.06153, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 68, w1 = 4775.615, w2 = 4674.931, dw = -0.06102, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 69, w1 = 4736.155, w2 = 4636.305, dw = -0.06051, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 70, w1 = 4697.342, w2 = 4598.313, dw = -0.06002, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 71, w1 = 4659.161, w2 = 4560.938, dw = -0.05953, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 72, w1 = 4621.595, w2 = 4524.166, dw = -0.05905, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 73, w1 = 4584.631, w2 = 4487.983, dw = -0.05857, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 74, w1 = 4548.253, w2 = 4452.374, dw = -0.05811, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 75, w1 = 4512.448, w2 = 4417.326, dw = -0.05765, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 76, w1 = 4477.203, w2 = 4382.825, dw = -0.0572, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 77, w1 = 4442.504, w2 = 4348.86, dw = -0.05675, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 78, w1 = 4408.339, w2 = 4315.418, dw = -0.05632, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 79, w1 = 4374.695, w2 = 4282.486, dw = -0.05588, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 80, w1 = 4341.562, w2 = 4250.054, dw = -0.05546, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 81, w1 = 4308.926, w2 = 4218.109, dw = -0.05504, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 82, w1 = 4276.778, w2 = 4186.641, dw = -0.05463, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 83, w1 = 4245.106, w2 = 4155.64, dw = -0.05422, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 84, w1 = 4213.9, w2 = 4125.094, dw = -0.05382, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 85, w1 = 4183.15, w2 = 4094.995, dw = -0.05343, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 86, w1 = 4152.845, w2 = 4065.332, dw = -0.05304, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 87, w1 = 4122.976, w2 = 4036.097, dw = -0.05265, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 88, w1 = 4093.534, w2 = 4007.279, dw = -0.05228, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 89, w1 = 4064.509, w2 = 3978.87, dw = -0.0519, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 90, w1 = 4035.893, w2 = 3950.861, dw = -0.05153, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 91, w1 = 4007.677, w2 = 3923.244, dw = -0.05117, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 92, w1 = 3979.854, w2 = 3896.011, dw = -0.05081, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 93, w1 = 3952.413, w2 = 3869.154, dw = -0.05046, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 94, w1 = 3925.349, w2 = 3842.665, dw = -0.05011, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 95, w1 = 3898.653, w2 = 3816.537, dw = -0.04977, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 96, w1 = 3872.318, w2 = 3790.761, dw = -0.04943, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 97, w1 = 3846.336, w2 = 3765.333, dw = -0.04909, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 98, w1 = 3820.7, w2 = 3740.243, dw = -0.04876, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 99, w1 = 3795.404, w2 = 3715.486, dw = -0.04844, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 100, w1 = 3770.441, w2 = 3691.055, dw = -0.04811, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 101, w1 = 3745.803, w2 = 3666.943, dw = -0.04779, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 102, w1 = 3721.486, w2 = 3643.145, dw = -0.04748, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 103, w1 = 3697.482, w2 = 3619.654, dw = -0.04717, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 104, w1 = 3673.786, w2 = 3596.465, dw = -0.04686, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 105, w1 = 3650.392, w2 = 3573.571, dw = -0.04656, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 106, w1 = 3627.294, w2 = 3550.967, dw = -0.04626, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 107, w1 = 3604.486, w2 = 3528.648, dw = -0.04596, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 108, w1 = 3581.963, w2 = 3506.608, dw = -0.04567, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 109, w1 = 3559.719, w2 = 3484.842, dw = -0.04538, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 110, w1 = 3537.75, w2 = 3463.345, dw = -0.04509, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 111, w1 = 3516.051, w2 = 3442.112, dw = -0.04481, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 112, w1 = 3494.616, w2 = 3421.138, dw = -0.04453, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 113, w1 = 3473.44, w2 = 3400.419, dw = -0.04426, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 114, w1 = 3452.52, w2 = 3379.95, dw = -0.04398, nw = 1651 zEchelleThAr.0025.ec.fits: ap = 115, w1 = 3431.85, w2 = 3359.726, dw = -0.04371, nw = 1651 EchelleThAr.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 1.' zEchelleThAr.0029.ec.fits: ap = 1, w1 = 10811.67, w2 = 10583.5, dw = -0.13828, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.53, dw = -0.13572, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.68, dw = -0.13326, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.59, dw = -0.13088, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.875, dw = -0.12858, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 6, w1 = 9879.721, w2 = 9671.224, dw = -0.12636, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 7, w1 = 9712.285, w2 = 9507.323, dw = -0.12422, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 8, w1 = 9550.43, w2 = 9348.886, dw = -0.12215, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 9, w1 = 9393.881, w2 = 9195.643, dw = -0.12014, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 10, w1 = 9242.381, w2 = 9047.342, dw = -0.11821, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 11, w1 = 9095.691, w2 = 8903.75, dw = -0.11633, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 12, w1 = 8953.584, w2 = 8764.645, dw = -0.11451, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 13, w1 = 8815.85, w2 = 8629.819, dw = -0.11275, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 14, w1 = 8682.288, w2 = 8499.079, dw = -0.11104, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 15, w1 = 8552.714, w2 = 8372.242, dw = -0.10938, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 16, w1 = 8426.95, w2 = 8249.134, dw = -0.10777, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 17, w1 = 8304.832, w2 = 8129.595, dw = -0.1062, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 18, w1 = 8186.202, w2 = 8013.472, dw = -0.10469, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 19, w1 = 8070.914, w2 = 7900.619, dw = -0.10321, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 20, w1 = 7958.828, w2 = 7790.901, dw = -0.10177, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 21, w1 = 7849.813, w2 = 7684.189, dw = -0.10038, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 22, w1 = 7743.744, w2 = 7580.361, dw = -0.09902, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 23, w1 = 7640.503, w2 = 7479.301, dw = -0.0977, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 24, w1 = 7539.98, w2 = 7380.901, dw = -0.09641, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 25, w1 = 7442.067, w2 = 7285.057, dw = -0.09516, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 26, w1 = 7346.665, w2 = 7191.67, dw = -0.09394, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 27, w1 = 7253.678, w2 = 7100.647, dw = -0.09275, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 28, w1 = 7163.015, w2 = 7011.9, dw = -0.09158, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 29, w1 = 7074.591, w2 = 6925.345, dw = -0.09045, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 30, w1 = 6988.324, w2 = 6840.9, dw = -0.08935, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 31, w1 = 6904.136, w2 = 6758.49, dw = -0.08827, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 32, w1 = 6821.952, w2 = 6678.042, dw = -0.08722, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 33, w1 = 6741.702, w2 = 6599.488, dw = -0.08619, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 34, w1 = 6663.318, w2 = 6522.76, dw = -0.08519, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 35, w1 = 6586.736, w2 = 6447.796, dw = -0.08421, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 36, w1 = 6511.895, w2 = 6374.535, dw = -0.08325, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 37, w1 = 6438.736, w2 = 6302.921, dw = -0.08231, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 38, w1 = 6367.202, w2 = 6232.899, dw = -0.0814, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 39, w1 = 6297.241, w2 = 6164.415, dw = -0.0805, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 40, w1 = 6228.801, w2 = 6097.42, dw = -0.07962, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 41, w1 = 6161.832, w2 = 6031.866, dw = -0.07877, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 42, w1 = 6096.289, w2 = 5967.707, dw = -0.07793, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 43, w1 = 6032.125, w2 = 5904.899, dw = -0.07711, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 44, w1 = 5969.299, w2 = 5843.399, dw = -0.0763, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 45, w1 = 5907.768, w2 = 5783.168, dw = -0.07552, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 46, w1 = 5847.492, w2 = 5724.165, dw = -0.07474, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 47, w1 = 5788.435, w2 = 5666.355, dw = -0.07399, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 48, w1 = 5730.558, w2 = 5609.701, dw = -0.07325, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 49, w1 = 5673.828, w2 = 5554.169, dw = -0.07252, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 50, w1 = 5618.21, w2 = 5499.726, dw = -0.07181, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 51, w1 = 5563.673, w2 = 5446.34, dw = -0.07111, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 52, w1 = 5510.184, w2 = 5393.98, dw = -0.07043, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 53, w1 = 5457.714, w2 = 5342.619, dw = -0.06975, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 54, w1 = 5406.234, w2 = 5292.226, dw = -0.0691, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 55, w1 = 5355.717, w2 = 5242.775, dw = -0.06845, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 56, w1 = 5306.135, w2 = 5194.24, dw = -0.06781, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 57, w1 = 5257.463, w2 = 5146.596, dw = -0.06719, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 58, w1 = 5209.676, w2 = 5099.818, dw = -0.06658, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 59, w1 = 5162.75, w2 = 5053.883, dw = -0.06598, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 60, w1 = 5116.662, w2 = 5008.769, dw = -0.06539, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 61, w1 = 5071.39, w2 = 4964.453, dw = -0.06481, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 62, w1 = 5026.912, w2 = 4920.914, dw = -0.06424, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 63, w1 = 4983.207, w2 = 4878.133, dw = -0.06368, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 64, w1 = 4940.257, w2 = 4836.09, dw = -0.06313, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 65, w1 = 4898.04, w2 = 4794.765, dw = -0.06259, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 66, w1 = 4856.539, w2 = 4754.141, dw = -0.06206, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 67, w1 = 4815.736, w2 = 4714.2, dw = -0.06154, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 68, w1 = 4775.612, w2 = 4674.924, dw = -0.06102, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 69, w1 = 4736.152, w2 = 4636.298, dw = -0.06052, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 70, w1 = 4697.339, w2 = 4598.305, dw = -0.06002, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 71, w1 = 4659.156, w2 = 4560.929, dw = -0.05953, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 72, w1 = 4621.59, w2 = 4524.157, dw = -0.05905, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 73, w1 = 4584.624, w2 = 4487.973, dw = -0.05858, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 74, w1 = 4548.246, w2 = 4452.364, dw = -0.05811, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 75, w1 = 4512.44, w2 = 4417.315, dw = -0.05765, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 76, w1 = 4477.193, w2 = 4382.815, dw = -0.0572, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 77, w1 = 4442.493, w2 = 4348.849, dw = -0.05675, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 78, w1 = 4408.327, w2 = 4315.405, dw = -0.05632, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 79, w1 = 4374.682, w2 = 4282.473, dw = -0.05588, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 80, w1 = 4341.547, w2 = 4250.039, dw = -0.05546, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 81, w1 = 4308.91, w2 = 4218.093, dw = -0.05504, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 82, w1 = 4276.76, w2 = 4186.625, dw = -0.05463, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 83, w1 = 4245.086, w2 = 4155.622, dw = -0.05422, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 84, w1 = 4213.878, w2 = 4125.075, dw = -0.05382, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 85, w1 = 4183.125, w2 = 4094.975, dw = -0.05342, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 86, w1 = 4152.817, w2 = 4065.31, dw = -0.05303, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 87, w1 = 4122.946, w2 = 4036.073, dw = -0.05265, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 88, w1 = 4093.501, w2 = 4007.253, dw = -0.05227, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 89, w1 = 4064.474, w2 = 3978.842, dw = -0.0519, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 90, w1 = 4035.855, w2 = 3950.831, dw = -0.05153, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 91, w1 = 4007.636, w2 = 3923.212, dw = -0.05117, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 92, w1 = 3979.809, w2 = 3895.977, dw = -0.05081, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 93, w1 = 3952.365, w2 = 3869.117, dw = -0.05045, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 94, w1 = 3925.298, w2 = 3842.625, dw = -0.0501, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 95, w1 = 3898.598, w2 = 3816.494, dw = -0.04976, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 96, w1 = 3872.258, w2 = 3790.716, dw = -0.04942, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 97, w1 = 3846.272, w2 = 3765.284, dw = -0.04908, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 98, w1 = 3820.632, w2 = 3740.191, dw = -0.04875, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 99, w1 = 3795.331, w2 = 3715.43, dw = -0.04842, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 100, w1 = 3770.363, w2 = 3690.996, dw = -0.0481, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 101, w1 = 3745.721, w2 = 3666.88, dw = -0.04778, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 102, w1 = 3721.398, w2 = 3643.078, dw = -0.04747, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 103, w1 = 3697.389, w2 = 3619.583, dw = -0.04716, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 104, w1 = 3673.687, w2 = 3596.389, dw = -0.04685, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 105, w1 = 3650.287, w2 = 3573.491, dw = -0.04654, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 106, w1 = 3627.183, w2 = 3550.882, dw = -0.04624, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 107, w1 = 3604.368, w2 = 3528.558, dw = -0.04595, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 108, w1 = 3581.839, w2 = 3506.513, dw = -0.04565, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 109, w1 = 3559.588, w2 = 3484.741, dw = -0.04536, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 110, w1 = 3537.612, w2 = 3463.239, dw = -0.04507, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 111, w1 = 3515.905, w2 = 3442., dw = -0.04479, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 112, w1 = 3494.463, w2 = 3421.02, dw = -0.04451, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 113, w1 = 3473.279, w2 = 3400.295, dw = -0.04423, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 114, w1 = 3452.351, w2 = 3379.819, dw = -0.04396, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 115, w1 = 3431.672, w2 = 3359.588, dw = -0.04369, nw = 1651 EchelleThAr.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 1.' zEchelleThAr.0034.ec.fits: ap = 1, w1 = 10811.64, w2 = 10583.5, dw = -0.13827, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 2, w1 = 10611.44, w2 = 10387.53, dw = -0.13571, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 3, w1 = 10418.53, w2 = 10198.68, dw = -0.13324, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 4, w1 = 10232.5, w2 = 10016.58, dw = -0.13086, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 5, w1 = 10052.99, w2 = 9840.865, dw = -0.12856, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 6, w1 = 9879.681, w2 = 9671.21, dw = -0.12635, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 7, w1 = 9712.243, w2 = 9507.307, dw = -0.1242, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 8, w1 = 9550.385, w2 = 9348.867, dw = -0.12213, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 9, w1 = 9393.835, w2 = 9195.622, dw = -0.12013, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 10, w1 = 9242.334, w2 = 9047.32, dw = -0.11819, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 11, w1 = 9095.643, w2 = 8903.725, dw = -0.11631, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 12, w1 = 8953.536, w2 = 8764.618, dw = -0.1145, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 13, w1 = 8815.801, w2 = 8629.791, dw = -0.11273, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 14, w1 = 8682.24, w2 = 8499.05, dw = -0.11102, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 15, w1 = 8552.666, w2 = 8372.211, dw = -0.10937, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 16, w1 = 8426.902, w2 = 8249.103, dw = -0.10776, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 17, w1 = 8304.784, w2 = 8129.563, dw = -0.10619, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 18, w1 = 8186.155, w2 = 8013.439, dw = -0.10468, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 19, w1 = 8070.867, w2 = 7900.586, dw = -0.1032, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 20, w1 = 7958.782, w2 = 7790.867, dw = -0.10177, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 21, w1 = 7849.767, w2 = 7684.154, dw = -0.10037, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 22, w1 = 7743.699, w2 = 7580.326, dw = -0.09901, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 23, w1 = 7640.46, w2 = 7479.266, dw = -0.09769, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 24, w1 = 7539.937, w2 = 7380.866, dw = -0.09641, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 25, w1 = 7442.025, w2 = 7285.021, dw = -0.09515, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 26, w1 = 7346.624, w2 = 7191.635, dw = -0.09393, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 27, w1 = 7253.638, w2 = 7100.612, dw = -0.09274, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 28, w1 = 7162.976, w2 = 7011.865, dw = -0.09158, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 29, w1 = 7074.554, w2 = 6925.309, dw = -0.09045, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 30, w1 = 6988.288, w2 = 6840.865, dw = -0.08935, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 31, w1 = 6904.1, w2 = 6758.455, dw = -0.08827, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 32, w1 = 6821.917, w2 = 6678.007, dw = -0.08722, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 33, w1 = 6741.668, w2 = 6599.453, dw = -0.08619, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 34, w1 = 6663.285, w2 = 6522.725, dw = -0.08519, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 35, w1 = 6586.704, w2 = 6447.761, dw = -0.08421, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 36, w1 = 6511.864, w2 = 6374.501, dw = -0.08325, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 37, w1 = 6438.705, w2 = 6302.888, dw = -0.08231, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 38, w1 = 6367.173, w2 = 6232.866, dw = -0.0814, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 39, w1 = 6297.212, w2 = 6164.382, dw = -0.0805, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 40, w1 = 6228.773, w2 = 6097.388, dw = -0.07963, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 41, w1 = 6161.805, w2 = 6031.835, dw = -0.07877, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 42, w1 = 6096.262, w2 = 5967.676, dw = -0.07793, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 43, w1 = 6032.099, w2 = 5904.868, dw = -0.07711, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 44, w1 = 5969.273, w2 = 5843.369, dw = -0.07631, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 45, w1 = 5907.742, w2 = 5783.137, dw = -0.07552, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 46, w1 = 5847.468, w2 = 5724.135, dw = -0.07475, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 47, w1 = 5788.41, w2 = 5666.325, dw = -0.07399, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 48, w1 = 5730.534, w2 = 5609.672, dw = -0.07325, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 49, w1 = 5673.805, w2 = 5554.14, dw = -0.07252, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 50, w1 = 5618.187, w2 = 5499.697, dw = -0.07181, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 51, w1 = 5563.65, w2 = 5446.312, dw = -0.07111, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 52, w1 = 5510.161, w2 = 5393.953, dw = -0.07043, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 53, w1 = 5457.692, w2 = 5342.592, dw = -0.06976, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 54, w1 = 5406.212, w2 = 5292.199, dw = -0.0691, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 55, w1 = 5355.695, w2 = 5242.749, dw = -0.06845, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 56, w1 = 5306.113, w2 = 5194.215, dw = -0.06782, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 57, w1 = 5257.441, w2 = 5146.571, dw = -0.06719, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 58, w1 = 5209.654, w2 = 5099.794, dw = -0.06658, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 59, w1 = 5162.728, w2 = 5053.859, dw = -0.06598, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 60, w1 = 5116.64, w2 = 5008.745, dw = -0.06539, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 61, w1 = 5071.368, w2 = 4964.429, dw = -0.06481, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 62, w1 = 5026.89, w2 = 4920.891, dw = -0.06424, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 63, w1 = 4983.186, w2 = 4878.11, dw = -0.06368, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 64, w1 = 4940.236, w2 = 4836.067, dw = -0.06313, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 65, w1 = 4898.019, w2 = 4794.743, dw = -0.06259, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 66, w1 = 4856.518, w2 = 4754.119, dw = -0.06206, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 67, w1 = 4815.715, w2 = 4714.178, dw = -0.06154, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 68, w1 = 4775.592, w2 = 4674.903, dw = -0.06102, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 69, w1 = 4736.132, w2 = 4636.277, dw = -0.06052, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 70, w1 = 4697.318, w2 = 4598.284, dw = -0.06002, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 71, w1 = 4659.136, w2 = 4560.909, dw = -0.05953, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 72, w1 = 4621.57, w2 = 4524.138, dw = -0.05905, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 73, w1 = 4584.605, w2 = 4487.954, dw = -0.05858, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 74, w1 = 4548.227, w2 = 4452.345, dw = -0.05811, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 75, w1 = 4512.421, w2 = 4417.297, dw = -0.05765, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 76, w1 = 4477.175, w2 = 4382.796, dw = -0.0572, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 77, w1 = 4442.476, w2 = 4348.83, dw = -0.05675, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 78, w1 = 4408.31, w2 = 4315.387, dw = -0.05632, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 79, w1 = 4374.666, w2 = 4282.455, dw = -0.05589, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 80, w1 = 4341.532, w2 = 4250.022, dw = -0.05546, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 81, w1 = 4308.896, w2 = 4218.076, dw = -0.05504, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 82, w1 = 4276.747, w2 = 4186.608, dw = -0.05463, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 83, w1 = 4245.074, w2 = 4155.605, dw = -0.05422, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 84, w1 = 4213.867, w2 = 4125.059, dw = -0.05382, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 85, w1 = 4183.115, w2 = 4094.958, dw = -0.05343, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 86, w1 = 4152.809, w2 = 4065.294, dw = -0.05304, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 87, w1 = 4122.939, w2 = 4036.057, dw = -0.05266, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 88, w1 = 4093.496, w2 = 4007.237, dw = -0.05228, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 89, w1 = 4064.471, w2 = 3978.827, dw = -0.05191, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 90, w1 = 4035.854, w2 = 3950.816, dw = -0.05154, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 91, w1 = 4007.637, w2 = 3923.197, dw = -0.05118, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 92, w1 = 3979.812, w2 = 3895.962, dw = -0.05082, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 93, w1 = 3952.371, w2 = 3869.103, dw = -0.05047, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 94, w1 = 3925.305, w2 = 3842.611, dw = -0.05012, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.48, dw = -0.04977, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 96, w1 = 3872.272, w2 = 3790.702, dw = -0.04944, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 97, w1 = 3846.289, w2 = 3765.271, dw = -0.0491, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 98, w1 = 3820.652, w2 = 3740.178, dw = -0.04877, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 99, w1 = 3795.354, w2 = 3715.418, dw = -0.04845, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 100, w1 = 3770.39, w2 = 3690.983, dw = -0.04813, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 101, w1 = 3745.751, w2 = 3666.868, dw = -0.04781, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 102, w1 = 3721.433, w2 = 3643.066, dw = -0.0475, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 103, w1 = 3697.428, w2 = 3619.571, dw = -0.04719, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 104, w1 = 3673.731, w2 = 3596.378, dw = -0.04688, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 105, w1 = 3650.335, w2 = 3573.48, dw = -0.04658, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 106, w1 = 3627.235, w2 = 3550.871, dw = -0.04628, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 107, w1 = 3604.426, w2 = 3528.547, dw = -0.04599, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 108, w1 = 3581.902, w2 = 3506.503, dw = -0.0457, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 109, w1 = 3559.657, w2 = 3484.732, dw = -0.04541, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 110, w1 = 3537.687, w2 = 3463.229, dw = -0.04513, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 111, w1 = 3515.986, w2 = 3441.991, dw = -0.04485, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 112, w1 = 3494.55, w2 = 3421.011, dw = -0.04457, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 113, w1 = 3473.374, w2 = 3400.286, dw = -0.0443, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 114, w1 = 3452.452, w2 = 3379.811, dw = -0.04402, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 115, w1 = 3431.78, w2 = 3359.58, dw = -0.04376, nw = 1651 EchelleThAr.0038.ec.fits: REFSPEC1 = 'EchelleThAr.0038.ec 1.' zEchelleThAr.0038.ec.fits: ap = 1, w1 = 10811.63, w2 = 10583.43, dw = -0.1383, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 2, w1 = 10611.43, w2 = 10387.47, dw = -0.13574, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 3, w1 = 10418.51, w2 = 10198.62, dw = -0.13327, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 4, w1 = 10232.48, w2 = 10016.52, dw = -0.13088, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 5, w1 = 10052.98, w2 = 9840.814, dw = -0.12859, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 6, w1 = 9879.67, w2 = 9671.163, dw = -0.12637, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 7, w1 = 9712.232, w2 = 9507.262, dw = -0.12422, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 8, w1 = 9550.376, w2 = 9348.825, dw = -0.12215, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 9, w1 = 9393.826, w2 = 9195.582, dw = -0.12015, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 10, w1 = 9242.325, w2 = 9047.282, dw = -0.11821, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 11, w1 = 9095.635, w2 = 8903.689, dw = -0.11633, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 12, w1 = 8953.528, w2 = 8764.584, dw = -0.11451, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 13, w1 = 8815.793, w2 = 8629.759, dw = -0.11275, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 14, w1 = 8682.232, w2 = 8499.019, dw = -0.11104, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 15, w1 = 8552.658, w2 = 8372.182, dw = -0.10938, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 16, w1 = 8426.894, w2 = 8249.075, dw = -0.10777, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 17, w1 = 8304.776, w2 = 8129.537, dw = -0.10621, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 18, w1 = 8186.147, w2 = 8013.413, dw = -0.10469, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 19, w1 = 8070.86, w2 = 7900.561, dw = -0.10321, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 20, w1 = 7958.774, w2 = 7790.843, dw = -0.10178, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 21, w1 = 7849.76, w2 = 7684.131, dw = -0.10038, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 22, w1 = 7743.692, w2 = 7580.304, dw = -0.09902, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 23, w1 = 7640.452, w2 = 7479.245, dw = -0.0977, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 24, w1 = 7539.929, w2 = 7380.845, dw = -0.09641, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 25, w1 = 7442.017, w2 = 7285.001, dw = -0.09516, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 26, w1 = 7346.615, w2 = 7191.615, dw = -0.09394, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 27, w1 = 7253.629, w2 = 7100.593, dw = -0.09275, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 28, w1 = 7162.967, w2 = 7011.846, dw = -0.09159, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 29, w1 = 7074.544, w2 = 6925.291, dw = -0.09046, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 30, w1 = 6988.278, w2 = 6840.847, dw = -0.08935, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 31, w1 = 6904.09, w2 = 6758.437, dw = -0.08827, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 32, w1 = 6821.907, w2 = 6677.99, dw = -0.08722, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 33, w1 = 6741.657, w2 = 6599.436, dw = -0.08619, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 34, w1 = 6663.274, w2 = 6522.708, dw = -0.08519, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 35, w1 = 6586.693, w2 = 6447.745, dw = -0.08421, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 36, w1 = 6511.852, w2 = 6374.485, dw = -0.08325, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 37, w1 = 6438.693, w2 = 6302.872, dw = -0.08232, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 38, w1 = 6367.16, w2 = 6232.85, dw = -0.0814, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 39, w1 = 6297.199, w2 = 6164.367, dw = -0.0805, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 40, w1 = 6228.759, w2 = 6097.372, dw = -0.07963, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 41, w1 = 6161.791, w2 = 6031.819, dw = -0.07877, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 42, w1 = 6096.248, w2 = 5967.66, dw = -0.07793, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 43, w1 = 6032.084, w2 = 5904.853, dw = -0.07711, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 44, w1 = 5969.258, w2 = 5843.353, dw = -0.07631, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 45, w1 = 5907.727, w2 = 5783.122, dw = -0.07552, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 46, w1 = 5847.452, w2 = 5724.121, dw = -0.07475, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 47, w1 = 5788.394, w2 = 5666.311, dw = -0.07399, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 48, w1 = 5730.518, w2 = 5609.657, dw = -0.07325, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 49, w1 = 5673.788, w2 = 5554.126, dw = -0.07252, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 50, w1 = 5618.17, w2 = 5499.683, dw = -0.07181, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 51, w1 = 5563.633, w2 = 5446.298, dw = -0.07111, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 52, w1 = 5510.144, w2 = 5393.939, dw = -0.07043, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 53, w1 = 5457.674, w2 = 5342.578, dw = -0.06976, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 54, w1 = 5406.195, w2 = 5292.186, dw = -0.0691, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 55, w1 = 5355.677, w2 = 5242.736, dw = -0.06845, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 56, w1 = 5306.096, w2 = 5194.202, dw = -0.06781, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 57, w1 = 5257.424, w2 = 5146.558, dw = -0.06719, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 58, w1 = 5209.637, w2 = 5099.781, dw = -0.06658, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 59, w1 = 5162.711, w2 = 5053.847, dw = -0.06598, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 60, w1 = 5116.624, w2 = 5008.733, dw = -0.06539, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 61, w1 = 5071.352, w2 = 4964.417, dw = -0.06481, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 62, w1 = 5026.875, w2 = 4920.88, dw = -0.06424, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 63, w1 = 4983.171, w2 = 4878.099, dw = -0.06368, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 64, w1 = 4940.221, w2 = 4836.056, dw = -0.06313, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 65, w1 = 4898.005, w2 = 4794.732, dw = -0.06259, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 66, w1 = 4856.505, w2 = 4754.109, dw = -0.06206, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 67, w1 = 4815.703, w2 = 4714.168, dw = -0.06154, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 68, w1 = 4775.58, w2 = 4674.894, dw = -0.06102, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 69, w1 = 4736.121, w2 = 4636.268, dw = -0.06052, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 70, w1 = 4697.309, w2 = 4598.276, dw = -0.06002, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 71, w1 = 4659.128, w2 = 4560.901, dw = -0.05953, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 72, w1 = 4621.564, w2 = 4524.13, dw = -0.05905, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 73, w1 = 4584.6, w2 = 4487.947, dw = -0.05858, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 74, w1 = 4548.223, w2 = 4452.338, dw = -0.05811, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 75, w1 = 4512.42, w2 = 4417.291, dw = -0.05765, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 76, w1 = 4477.175, w2 = 4382.791, dw = -0.0572, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 77, w1 = 4442.478, w2 = 4348.826, dw = -0.05676, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 78, w1 = 4408.314, w2 = 4315.383, dw = -0.05632, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 79, w1 = 4374.672, w2 = 4282.452, dw = -0.05589, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 80, w1 = 4341.54, w2 = 4250.019, dw = -0.05547, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 81, w1 = 4308.907, w2 = 4218.074, dw = -0.05505, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 82, w1 = 4276.76, w2 = 4186.606, dw = -0.05464, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 83, w1 = 4245.09, w2 = 4155.605, dw = -0.05423, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 84, w1 = 4213.886, w2 = 4125.059, dw = -0.05383, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 85, w1 = 4183.138, w2 = 4094.959, dw = -0.05344, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 86, w1 = 4152.835, w2 = 4065.296, dw = -0.05305, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 87, w1 = 4122.968, w2 = 4036.06, dw = -0.05267, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 88, w1 = 4093.529, w2 = 4007.241, dw = -0.0523, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 89, w1 = 4064.507, w2 = 3978.831, dw = -0.05192, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 90, w1 = 4035.894, w2 = 3950.821, dw = -0.05156, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 91, w1 = 4007.681, w2 = 3923.204, dw = -0.0512, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 92, w1 = 3979.86, w2 = 3895.969, dw = -0.05084, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 93, w1 = 3952.424, w2 = 3869.111, dw = -0.05049, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 94, w1 = 3925.363, w2 = 3842.621, dw = -0.05015, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 95, w1 = 3898.67, w2 = 3816.491, dw = -0.04981, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 96, w1 = 3872.339, w2 = 3790.714, dw = -0.04947, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 97, w1 = 3846.361, w2 = 3765.283, dw = -0.04914, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 98, w1 = 3820.729, w2 = 3740.191, dw = -0.04881, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 99, w1 = 3795.438, w2 = 3715.432, dw = -0.04849, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 100, w1 = 3770.479, w2 = 3690.999, dw = -0.04817, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 101, w1 = 3745.846, w2 = 3666.885, dw = -0.04786, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 102, w1 = 3721.534, w2 = 3643.084, dw = -0.04755, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 103, w1 = 3697.536, w2 = 3619.591, dw = -0.04724, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 104, w1 = 3673.845, w2 = 3596.398, dw = -0.04694, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 105, w1 = 3650.456, w2 = 3573.502, dw = -0.04664, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 106, w1 = 3627.364, w2 = 3550.895, dw = -0.04634, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 107, w1 = 3604.562, w2 = 3528.572, dw = -0.04605, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 108, w1 = 3582.045, w2 = 3506.529, dw = -0.04577, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 109, w1 = 3559.809, w2 = 3484.759, dw = -0.04548, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 110, w1 = 3537.846, w2 = 3463.258, dw = -0.04521, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 111, w1 = 3516.154, w2 = 3442.021, dw = -0.04493, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 112, w1 = 3494.726, w2 = 3421.043, dw = -0.04466, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 113, w1 = 3473.558, w2 = 3400.319, dw = -0.04439, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 114, w1 = 3452.646, w2 = 3379.845, dw = -0.04412, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 115, w1 = 3431.984, w2 = 3359.616, dw = -0.04386, nw = 1651 EchelleThAr.0042.ec.fits: REFSPEC1 = 'EchelleThAr.0042.ec 1.' zEchelleThAr.0042.ec.fits: ap = 1, w1 = 10811.59, w2 = 10583.46, dw = -0.13826, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 2, w1 = 10611.39, w2 = 10387.48, dw = -0.1357, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 3, w1 = 10418.48, w2 = 10198.64, dw = -0.13324, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 4, w1 = 10232.45, w2 = 10016.54, dw = -0.13086, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 5, w1 = 10052.95, w2 = 9840.822, dw = -0.12856, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 6, w1 = 9879.643, w2 = 9671.169, dw = -0.12635, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 7, w1 = 9712.207, w2 = 9507.266, dw = -0.12421, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 8, w1 = 9550.353, w2 = 9348.826, dw = -0.12214, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 9, w1 = 9393.804, w2 = 9195.581, dw = -0.12014, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 10, w1 = 9242.306, w2 = 9047.279, dw = -0.1182, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 11, w1 = 9095.616, w2 = 8903.685, dw = -0.11632, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 12, w1 = 8953.51, w2 = 8764.579, dw = -0.1145, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 13, w1 = 8815.777, w2 = 8629.752, dw = -0.11274, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 14, w1 = 8682.217, w2 = 8499.012, dw = -0.11103, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 15, w1 = 8552.643, w2 = 8372.174, dw = -0.10938, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 16, w1 = 8426.88, w2 = 8249.066, dw = -0.10777, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 17, w1 = 8304.763, w2 = 8129.527, dw = -0.1062, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 18, w1 = 8186.134, w2 = 8013.403, dw = -0.10469, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 19, w1 = 8070.847, w2 = 7900.55, dw = -0.10321, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 20, w1 = 7958.762, w2 = 7790.832, dw = -0.10178, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 21, w1 = 7849.748, w2 = 7684.12, dw = -0.10038, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 22, w1 = 7743.68, w2 = 7580.293, dw = -0.09902, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 23, w1 = 7640.44, w2 = 7479.234, dw = -0.0977, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 24, w1 = 7539.918, w2 = 7380.834, dw = -0.09641, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 25, w1 = 7442.006, w2 = 7284.99, dw = -0.09516, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 26, w1 = 7346.604, w2 = 7191.604, dw = -0.09394, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 27, w1 = 7253.618, w2 = 7100.582, dw = -0.09275, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 28, w1 = 7162.957, w2 = 7011.836, dw = -0.09159, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 29, w1 = 7074.534, w2 = 6925.281, dw = -0.09046, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 30, w1 = 6988.268, w2 = 6840.837, dw = -0.08935, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 31, w1 = 6904.08, w2 = 6758.428, dw = -0.08827, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 32, w1 = 6821.897, w2 = 6677.981, dw = -0.08722, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 33, w1 = 6741.648, w2 = 6599.427, dw = -0.08619, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 34, w1 = 6663.265, w2 = 6522.7, dw = -0.08519, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 35, w1 = 6586.684, w2 = 6447.737, dw = -0.08421, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 36, w1 = 6511.844, w2 = 6374.478, dw = -0.08325, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 37, w1 = 6438.685, w2 = 6302.864, dw = -0.08232, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 38, w1 = 6367.152, w2 = 6232.843, dw = -0.0814, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 39, w1 = 6297.192, w2 = 6164.36, dw = -0.0805, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 40, w1 = 6228.752, w2 = 6097.367, dw = -0.07963, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 41, w1 = 6161.784, w2 = 6031.814, dw = -0.07877, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 42, w1 = 6096.242, w2 = 5967.656, dw = -0.07793, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 43, w1 = 6032.079, w2 = 5904.848, dw = -0.07711, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 44, w1 = 5969.253, w2 = 5843.349, dw = -0.07631, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 45, w1 = 5907.722, w2 = 5783.119, dw = -0.07552, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 46, w1 = 5847.448, w2 = 5724.117, dw = -0.07475, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 47, w1 = 5788.391, w2 = 5666.308, dw = -0.07399, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 48, w1 = 5730.515, w2 = 5609.655, dw = -0.07325, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 49, w1 = 5673.785, w2 = 5554.123, dw = -0.07252, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 50, w1 = 5618.168, w2 = 5499.681, dw = -0.07181, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 51, w1 = 5563.631, w2 = 5446.296, dw = -0.07111, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 52, w1 = 5510.143, w2 = 5393.937, dw = -0.07043, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 53, w1 = 5457.674, w2 = 5342.576, dw = -0.06976, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 54, w1 = 5406.194, w2 = 5292.185, dw = -0.0691, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 55, w1 = 5355.678, w2 = 5242.735, dw = -0.06845, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 56, w1 = 5306.096, w2 = 5194.2, dw = -0.06782, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 57, w1 = 5257.425, w2 = 5146.557, dw = -0.06719, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 58, w1 = 5209.638, w2 = 5099.78, dw = -0.06658, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 59, w1 = 5162.713, w2 = 5053.846, dw = -0.06598, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 60, w1 = 5116.626, w2 = 5008.732, dw = -0.06539, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 61, w1 = 5071.354, w2 = 4964.416, dw = -0.06481, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 62, w1 = 5026.877, w2 = 4920.878, dw = -0.06424, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 63, w1 = 4983.173, w2 = 4878.098, dw = -0.06368, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 64, w1 = 4940.223, w2 = 4836.055, dw = -0.06313, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 65, w1 = 4898.007, w2 = 4794.73, dw = -0.06259, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 66, w1 = 4856.507, w2 = 4754.107, dw = -0.06206, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 67, w1 = 4815.704, w2 = 4714.166, dw = -0.06154, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 68, w1 = 4775.582, w2 = 4674.89, dw = -0.06103, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 69, w1 = 4736.122, w2 = 4636.264, dw = -0.06052, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 70, w1 = 4697.31, w2 = 4598.272, dw = -0.06002, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 71, w1 = 4659.128, w2 = 4560.897, dw = -0.05953, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 72, w1 = 4621.563, w2 = 4524.125, dw = -0.05905, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 73, w1 = 4584.598, w2 = 4487.941, dw = -0.05858, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 74, w1 = 4548.22, w2 = 4452.332, dw = -0.05811, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 75, w1 = 4512.416, w2 = 4417.283, dw = -0.05766, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 76, w1 = 4477.17, w2 = 4382.783, dw = -0.0572, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 77, w1 = 4442.471, w2 = 4348.817, dw = -0.05676, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 78, w1 = 4408.306, w2 = 4315.373, dw = -0.05632, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 79, w1 = 4374.662, w2 = 4282.441, dw = -0.05589, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 80, w1 = 4341.528, w2 = 4250.007, dw = -0.05547, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 81, w1 = 4308.893, w2 = 4218.061, dw = -0.05505, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 82, w1 = 4276.744, w2 = 4186.592, dw = -0.05464, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 83, w1 = 4245.071, w2 = 4155.59, dw = -0.05423, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 84, w1 = 4213.865, w2 = 4125.043, dw = -0.05383, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 85, w1 = 4183.113, w2 = 4094.942, dw = -0.05344, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 86, w1 = 4152.808, w2 = 4065.277, dw = -0.05305, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 87, w1 = 4122.938, w2 = 4036.039, dw = -0.05267, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 88, w1 = 4093.495, w2 = 4007.219, dw = -0.05229, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 89, w1 = 4064.469, w2 = 3978.808, dw = -0.05192, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 90, w1 = 4035.852, w2 = 3950.797, dw = -0.05155, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 91, w1 = 4007.635, w2 = 3923.177, dw = -0.05119, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 92, w1 = 3979.81, w2 = 3895.942, dw = -0.05083, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 93, w1 = 3952.369, w2 = 3869.082, dw = -0.05048, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 94, w1 = 3925.303, w2 = 3842.589, dw = -0.05013, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 95, w1 = 3898.605, w2 = 3816.458, dw = -0.04979, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 96, w1 = 3872.268, w2 = 3790.679, dw = -0.04945, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 97, w1 = 3846.284, w2 = 3765.246, dw = -0.04911, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 98, w1 = 3820.647, w2 = 3740.153, dw = -0.04878, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 99, w1 = 3795.349, w2 = 3715.392, dw = -0.04846, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 100, w1 = 3770.383, w2 = 3690.956, dw = -0.04814, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 101, w1 = 3745.744, w2 = 3666.84, dw = -0.04782, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 102, w1 = 3721.424, w2 = 3643.037, dw = -0.04751, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 103, w1 = 3697.418, w2 = 3619.542, dw = -0.0472, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 104, w1 = 3673.72, w2 = 3596.347, dw = -0.04689, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 105, w1 = 3650.323, w2 = 3573.448, dw = -0.04659, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 106, w1 = 3627.221, w2 = 3550.839, dw = -0.04629, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 107, w1 = 3604.411, w2 = 3528.514, dw = -0.046, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 108, w1 = 3581.885, w2 = 3506.468, dw = -0.04571, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 109, w1 = 3559.638, w2 = 3484.696, dw = -0.04542, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 110, w1 = 3537.666, w2 = 3463.192, dw = -0.04514, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 111, w1 = 3515.963, w2 = 3441.953, dw = -0.04485, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 112, w1 = 3494.524, w2 = 3420.972, dw = -0.04458, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 113, w1 = 3473.345, w2 = 3400.245, dw = -0.0443, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 114, w1 = 3452.421, w2 = 3379.769, dw = -0.04403, nw = 1651 zEchelleThAr.0042.ec.fits: ap = 115, w1 = 3431.746, w2 = 3359.537, dw = -0.04376, 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 Combining spectra... Oct 24 12:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0022.ec.fits[ 1] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 2] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 3] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 4] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 5] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 6] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 7] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 8] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 9] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 10] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 11] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 12] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 13] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 14] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 15] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 16] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 17] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 18] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 19] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 20] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 21] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 22] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 23] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 24] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 25] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 26] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 27] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 28] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 29] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 30] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 31] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 32] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 33] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 34] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 35] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 36] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 37] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 38] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 39] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 40] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 41] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 42] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 43] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 44] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 45] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 46] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 47] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 48] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 49] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 50] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 51] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 52] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 53] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 54] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 55] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 56] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 57] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 58] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 59] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 60] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 61] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 62] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 63] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 64] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 65] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 66] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 67] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 68] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 69] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 70] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 71] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 72] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 73] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 74] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 75] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 76] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 77] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 78] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 79] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 80] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 81] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 82] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 83] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 84] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 85] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 86] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 87] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 88] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 89] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 90] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 91] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 92] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 93] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 94] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 95] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 96] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 97] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 98] 600.0 1.000 0. 0.009 141024.0022.ec.fits[ 99] 600.0 1.000 0. 0.009 141024.0022.ec.fits[100] 600.0 1.000 0. 0.009 141024.0022.ec.fits[101] 600.0 1.000 0. 0.009 141024.0022.ec.fits[102] 600.0 1.000 0. 0.009 141024.0022.ec.fits[103] 600.0 1.000 0. 0.009 141024.0022.ec.fits[104] 600.0 1.000 0. 0.009 141024.0022.ec.fits[105] 600.0 1.000 0. 0.009 141024.0022.ec.fits[106] 600.0 1.000 0. 0.009 141024.0022.ec.fits[107] 600.0 1.000 0. 0.009 141024.0022.ec.fits[108] 600.0 1.000 0. 0.009 141024.0022.ec.fits[109] 600.0 1.000 0. 0.009 141024.0022.ec.fits[110] 600.0 1.000 0. 0.009 141024.0022.ec.fits[111] 600.0 1.000 0. 0.009 141024.0022.ec.fits[112] 600.0 1.000 0. 0.009 141024.0022.ec.fits[113] 600.0 1.000 0. 0.009 141024.0022.ec.fits[114] 600.0 1.000 0. 0.009 141024.0022.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum141024.0022.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.589, w2 = 10811.7, dw = 0.04379963, nw = 170142., dtype = 0 Oct 24 12:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0023.ec.fits[ 1] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 2] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 3] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 4] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 5] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 6] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 7] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 8] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 9] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 10] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 11] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 12] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 13] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 14] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 15] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 16] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 17] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 18] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 19] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 20] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 21] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 22] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 23] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 24] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 25] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 26] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 27] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 28] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 29] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 30] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 31] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 32] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 33] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 34] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 35] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 36] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 37] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 38] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 39] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 40] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 41] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 42] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 43] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 44] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 45] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 46] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 47] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 48] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 49] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 50] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 51] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 52] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 53] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 54] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 55] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 56] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 57] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 58] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 59] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 60] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 61] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 62] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 63] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 64] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 65] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 66] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 67] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 68] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 69] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 70] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 71] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 72] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 73] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 74] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 75] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 76] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 77] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 78] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 79] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 80] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 81] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 82] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 83] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 84] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 85] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 86] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 87] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 88] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 89] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 90] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 91] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 92] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 93] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 94] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 95] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 96] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 97] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 98] 720.0 1.000 0. 0.009 141024.0023.ec.fits[ 99] 720.0 1.000 0. 0.009 141024.0023.ec.fits[100] 720.0 1.000 0. 0.009 141024.0023.ec.fits[101] 720.0 1.000 0. 0.009 141024.0023.ec.fits[102] 720.0 1.000 0. 0.009 141024.0023.ec.fits[103] 720.0 1.000 0. 0.009 141024.0023.ec.fits[104] 720.0 1.000 0. 0.009 141024.0023.ec.fits[105] 720.0 1.000 0. 0.009 141024.0023.ec.fits[106] 720.0 1.000 0. 0.009 141024.0023.ec.fits[107] 720.0 1.000 0. 0.009 141024.0023.ec.fits[108] 720.0 1.000 0. 0.009 141024.0023.ec.fits[109] 720.0 1.000 0. 0.009 141024.0023.ec.fits[110] 720.0 1.000 0. 0.009 141024.0023.ec.fits[111] 720.0 1.000 0. 0.009 141024.0023.ec.fits[112] 720.0 1.000 0. 0.009 141024.0023.ec.fits[113] 720.0 1.000 0. 0.009 141024.0023.ec.fits[114] 720.0 1.000 0. 0.009 141024.0023.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum141024.0023.ec.fits, ncombine = 115, exptime = 82800. w1 = 3359.627, w2 = 10811.69, dw = 0.04377464, nw = 170238., dtype = 0 Oct 24 12:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0024.ec.fits[ 1] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 2] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 3] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 4] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 5] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 6] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 7] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 8] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 9] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 10] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 11] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 12] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 13] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 14] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 15] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 16] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 17] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 18] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 19] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 20] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 21] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 22] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 23] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 24] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 25] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 26] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 27] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 28] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 29] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 30] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 31] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 32] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 33] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 34] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 35] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 36] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 37] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 38] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 39] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 40] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 41] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 42] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 43] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 44] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 45] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 46] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 47] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 48] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 49] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 50] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 51] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 52] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 53] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 54] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 55] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 56] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 57] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 58] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 59] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 60] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 61] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 62] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 63] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 64] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 65] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 66] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 67] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 68] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 69] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 70] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 71] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 72] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 73] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 74] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 75] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 76] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 77] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 78] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 79] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 80] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 81] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 82] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 83] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 84] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 85] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 86] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 87] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 88] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 89] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 90] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 91] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 92] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 93] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 94] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 95] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 96] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 97] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 98] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[ 99] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[100] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[101] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[102] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[103] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[104] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[105] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[106] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[107] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[108] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[109] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[110] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[111] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[112] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[113] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[114] 1500.0 1.000 0. 0.009 141024.0024.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141024.0024.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.686, w2 = 10811.67, dw = 0.04373694, nw = 170383., dtype = 0 Oct 24 12:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0026.ec.fits[ 1] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 2] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 3] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 4] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 5] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 6] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 7] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 8] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 9] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 10] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 11] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 12] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 13] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 14] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 15] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 16] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 17] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 18] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 19] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 20] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 21] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 22] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 23] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 24] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 25] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 26] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 27] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 28] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 29] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 30] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 31] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 32] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 33] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 34] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 35] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 36] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 37] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 38] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 39] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 40] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 41] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 42] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 43] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 44] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 45] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 46] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 47] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 48] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 49] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 50] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 51] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 52] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 53] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 54] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 55] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 56] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 57] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 58] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 59] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 60] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 61] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 62] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 63] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 64] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 65] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 66] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 67] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 68] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 69] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 70] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 71] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 72] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 73] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 74] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 75] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 76] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 77] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 78] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 79] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 80] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 81] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 82] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 83] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 84] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 85] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 86] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 87] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 88] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 89] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 90] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 91] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 92] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 93] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 94] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 95] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 96] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 97] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 98] 900.0 1.000 0. 0.009 141024.0026.ec.fits[ 99] 900.0 1.000 0. 0.009 141024.0026.ec.fits[100] 900.0 1.000 0. 0.009 141024.0026.ec.fits[101] 900.0 1.000 0. 0.009 141024.0026.ec.fits[102] 900.0 1.000 0. 0.009 141024.0026.ec.fits[103] 900.0 1.000 0. 0.009 141024.0026.ec.fits[104] 900.0 1.000 0. 0.009 141024.0026.ec.fits[105] 900.0 1.000 0. 0.009 141024.0026.ec.fits[106] 900.0 1.000 0. 0.009 141024.0026.ec.fits[107] 900.0 1.000 0. 0.009 141024.0026.ec.fits[108] 900.0 1.000 0. 0.009 141024.0026.ec.fits[109] 900.0 1.000 0. 0.009 141024.0026.ec.fits[110] 900.0 1.000 0. 0.009 141024.0026.ec.fits[111] 900.0 1.000 0. 0.009 141024.0026.ec.fits[112] 900.0 1.000 0. 0.009 141024.0026.ec.fits[113] 900.0 1.000 0. 0.009 141024.0026.ec.fits[114] 900.0 1.000 0. 0.009 141024.0026.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141024.0026.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.704, w2 = 10811.66, dw = 0.04370779, nw = 170496., dtype = 0 Oct 24 12:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[100] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[101] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[102] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[103] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[104] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[105] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[106] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[107] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[108] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[109] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[110] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[111] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[112] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[113] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[114] 1500.0 1.000 0. 0.009 141024.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141024.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.662, w2 = 10811.66, dw = 0.04370035, nw = 170526., dtype = 0 Oct 24 12:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0028.ec.fits[ 1] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 2] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 3] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 4] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 5] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 6] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 7] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 8] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 9] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 10] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 11] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 12] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 13] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 14] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 15] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 16] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 17] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 18] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 19] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 20] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 21] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 22] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 23] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 24] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 25] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 26] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 27] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 28] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 29] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 30] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 31] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 32] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 33] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 34] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 35] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 36] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 37] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 38] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 39] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 40] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 41] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 42] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 43] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 44] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 45] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 46] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 47] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 48] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 49] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 50] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 51] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 52] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 53] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 54] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 55] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 56] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 57] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 58] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 59] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 60] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 61] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 62] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 63] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 64] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 65] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 66] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 67] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 68] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 69] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 70] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 71] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 72] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 73] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 74] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 75] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 76] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 77] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 78] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 79] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 80] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 81] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 82] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 83] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 84] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 85] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 86] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 87] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 88] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 89] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 90] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 91] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 92] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 93] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 94] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 95] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 96] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 97] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 98] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[ 99] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[100] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[101] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[102] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[103] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[104] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[105] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[106] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[107] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[108] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[109] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[110] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[111] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[112] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[113] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[114] 1200.0 1.000 0. 0.009 141024.0028.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141024.0028.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.613, w2 = 10811.67, dw = 0.04369167, nw = 170561., dtype = 0 Oct 24 12:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 141024.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 141024.0030.ec.fits[100] 900.0 1.000 0. 0.009 141024.0030.ec.fits[101] 900.0 1.000 0. 0.009 141024.0030.ec.fits[102] 900.0 1.000 0. 0.009 141024.0030.ec.fits[103] 900.0 1.000 0. 0.009 141024.0030.ec.fits[104] 900.0 1.000 0. 0.009 141024.0030.ec.fits[105] 900.0 1.000 0. 0.009 141024.0030.ec.fits[106] 900.0 1.000 0. 0.009 141024.0030.ec.fits[107] 900.0 1.000 0. 0.009 141024.0030.ec.fits[108] 900.0 1.000 0. 0.009 141024.0030.ec.fits[109] 900.0 1.000 0. 0.009 141024.0030.ec.fits[110] 900.0 1.000 0. 0.009 141024.0030.ec.fits[111] 900.0 1.000 0. 0.009 141024.0030.ec.fits[112] 900.0 1.000 0. 0.009 141024.0030.ec.fits[113] 900.0 1.000 0. 0.009 141024.0030.ec.fits[114] 900.0 1.000 0. 0.009 141024.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141024.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.587, w2 = 10811.66, dw = 0.04369668, nw = 170542., dtype = 0 Oct 24 12:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 19] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 20] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 21] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 22] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 23] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 24] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 25] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 26] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 27] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 28] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 29] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 30] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 31] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 32] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 33] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 34] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 35] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 36] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 37] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 38] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 39] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 40] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 41] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 42] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 43] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 44] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 45] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 46] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 47] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 48] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 49] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 50] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 51] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 52] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 53] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 54] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 55] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[100] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[101] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[102] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[103] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[104] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[105] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[106] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[107] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[108] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[109] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[110] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[111] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[112] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[113] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[114] 1500.0 1.000 0. 0.009 141024.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141024.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.584, w2 = 10811.66, dw = 0.04371844, nw = 170457., dtype = 0 Oct 24 12:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0033.ec.fits[ 1] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 2] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 3] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 4] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 5] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 6] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 7] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 8] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 9] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 10] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 11] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 12] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 13] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 14] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 15] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 16] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 17] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 18] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 19] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 20] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 21] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 22] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 23] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 24] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 25] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 26] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 27] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 28] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 29] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 30] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 31] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 32] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 33] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 34] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 35] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 36] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 37] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 38] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 39] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 40] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 41] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 42] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 43] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 44] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 45] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 46] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 47] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 48] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 49] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 50] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 51] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 52] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 53] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 54] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 55] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 56] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 57] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 58] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 59] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 60] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 61] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 62] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 63] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 64] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 65] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 66] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 67] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 68] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 69] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 70] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 71] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 72] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 73] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 74] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 75] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 76] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 77] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 78] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 79] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 80] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 81] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 82] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 83] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 84] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 85] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 86] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 87] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 88] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 89] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 90] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 91] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 92] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 93] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 94] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 95] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 96] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 97] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 98] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[ 99] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[100] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[101] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[102] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[103] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[104] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[105] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[106] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[107] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[108] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[109] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[110] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[111] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[112] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[113] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[114] 1200.0 1.000 0. 0.009 141024.0033.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141024.0033.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.582, w2 = 10811.65, dw = 0.04374536, nw = 170352., dtype = 0 Oct 24 12:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0035.ec.fits[ 1] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 2] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 3] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 4] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 5] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 6] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 7] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 8] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 9] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 10] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 11] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 12] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 13] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 14] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 15] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 16] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 17] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 18] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 19] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 20] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 21] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 22] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 23] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 24] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 25] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 26] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 27] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 28] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 29] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 30] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 31] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 32] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 33] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 34] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 35] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 36] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 37] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 38] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 39] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 40] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 41] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 42] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 43] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 44] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 45] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 46] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 47] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 48] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 49] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 50] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 51] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 52] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 53] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 54] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 55] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 56] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 57] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 58] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 59] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 60] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 61] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 62] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 63] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 64] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 65] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 66] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 67] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 68] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 69] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 70] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 71] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 72] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 73] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 74] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 75] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 76] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 77] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 78] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 79] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 80] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 81] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 82] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 83] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 84] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 85] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 86] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 87] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 88] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 89] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 90] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 91] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 92] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 93] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 94] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 95] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 96] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 97] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 98] 900.0 1.000 0. 0.009 141024.0035.ec.fits[ 99] 900.0 1.000 0. 0.009 141024.0035.ec.fits[100] 900.0 1.000 0. 0.009 141024.0035.ec.fits[101] 900.0 1.000 0. 0.009 141024.0035.ec.fits[102] 900.0 1.000 0. 0.009 141024.0035.ec.fits[103] 900.0 1.000 0. 0.009 141024.0035.ec.fits[104] 900.0 1.000 0. 0.009 141024.0035.ec.fits[105] 900.0 1.000 0. 0.009 141024.0035.ec.fits[106] 900.0 1.000 0. 0.009 141024.0035.ec.fits[107] 900.0 1.000 0. 0.009 141024.0035.ec.fits[108] 900.0 1.000 0. 0.009 141024.0035.ec.fits[109] 900.0 1.000 0. 0.009 141024.0035.ec.fits[110] 900.0 1.000 0. 0.009 141024.0035.ec.fits[111] 900.0 1.000 0. 0.009 141024.0035.ec.fits[112] 900.0 1.000 0. 0.009 141024.0035.ec.fits[113] 900.0 1.000 0. 0.009 141024.0035.ec.fits[114] 900.0 1.000 0. 0.009 141024.0035.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141024.0035.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.586, w2 = 10811.64, dw = 0.04377305, nw = 170244., dtype = 0 Oct 24 12:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0036.ec.fits[ 1] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 2] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 3] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 4] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 5] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 6] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 7] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 8] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 9] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 10] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 11] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 12] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 13] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 14] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 15] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 16] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 17] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 18] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 19] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 20] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 21] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 22] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 23] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 24] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 25] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 26] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 27] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 28] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 29] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 30] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 31] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 32] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 33] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 34] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 35] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 36] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 37] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 38] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 39] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 40] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 41] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 42] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 43] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 44] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 45] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 46] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 47] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 48] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 49] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 50] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 51] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 52] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 53] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 54] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 55] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 56] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 57] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 58] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 59] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 60] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 61] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 62] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 63] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 64] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 65] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 66] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 67] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 68] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 69] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 70] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 71] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 72] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 73] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 74] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 75] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 76] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 77] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 78] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 79] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 80] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 81] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 82] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 83] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 84] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 85] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 86] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 87] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 88] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 89] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 90] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 91] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 92] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 93] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 94] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 95] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 96] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 97] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 98] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[ 99] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[100] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[101] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[102] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[103] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[104] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[105] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[106] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[107] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[108] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[109] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[110] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[111] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[112] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[113] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[114] 1500.0 1.000 0. 0.009 141024.0036.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141024.0036.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.597, w2 = 10811.64, dw = 0.04380487, nw = 170120., dtype = 0 Oct 24 12:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0037.ec.fits[ 1] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 2] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 3] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 4] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 5] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 6] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 7] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 8] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 9] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 10] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 11] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 12] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 13] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 14] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 15] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 16] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 17] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 18] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 19] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 20] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 21] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 22] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 23] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 24] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 25] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 26] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 27] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 28] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 29] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 30] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 31] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 32] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 33] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 34] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 35] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 36] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 37] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 38] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 39] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 40] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 41] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 42] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 43] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 44] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 45] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 46] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 47] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 48] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 49] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 50] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 51] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 52] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 53] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 54] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 55] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 56] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 57] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 58] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 59] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 60] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 61] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 62] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 63] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 64] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 65] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 66] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 67] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 68] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 69] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 70] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 71] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 72] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 73] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 74] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 75] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 76] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 77] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 78] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 79] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 80] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 81] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 82] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 83] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 84] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 85] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 86] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 87] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 88] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 89] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 90] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 91] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 92] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 93] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 94] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 95] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 96] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 97] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 98] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[ 99] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[100] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[101] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[102] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[103] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[104] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[105] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[106] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[107] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[108] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[109] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[110] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[111] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[112] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[113] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[114] 1200.0 1.000 0. 0.009 141024.0037.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141024.0037.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.61, w2 = 10811.63, dw = 0.04384033, nw = 169982., dtype = 0 Oct 24 12:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0039.ec.fits[ 1] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 2] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 3] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 4] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 5] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 6] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 7] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 8] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 9] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 10] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 11] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 12] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 13] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 14] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 15] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 16] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 17] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 18] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 19] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 20] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 21] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 22] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 23] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 24] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 25] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 26] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 27] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 28] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 29] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 30] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 31] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 32] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 33] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 34] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 35] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 36] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 37] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 38] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 39] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 40] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 41] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 42] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 43] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 44] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 45] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 46] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 47] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 48] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 49] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 50] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 51] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 52] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 53] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 54] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 55] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 56] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 57] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 58] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 59] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 60] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 61] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 62] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 63] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 64] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 65] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 66] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 67] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 68] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 69] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 70] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 71] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 72] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 73] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 74] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 75] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 76] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 77] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 78] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 79] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 80] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 81] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 82] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 83] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 84] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 85] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 86] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 87] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 88] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 89] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 90] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 91] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 92] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 93] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 94] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 95] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 96] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 97] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 98] 900.0 1.000 0. 0.009 141024.0039.ec.fits[ 99] 900.0 1.000 0. 0.009 141024.0039.ec.fits[100] 900.0 1.000 0. 0.009 141024.0039.ec.fits[101] 900.0 1.000 0. 0.009 141024.0039.ec.fits[102] 900.0 1.000 0. 0.009 141024.0039.ec.fits[103] 900.0 1.000 0. 0.009 141024.0039.ec.fits[104] 900.0 1.000 0. 0.009 141024.0039.ec.fits[105] 900.0 1.000 0. 0.009 141024.0039.ec.fits[106] 900.0 1.000 0. 0.009 141024.0039.ec.fits[107] 900.0 1.000 0. 0.009 141024.0039.ec.fits[108] 900.0 1.000 0. 0.009 141024.0039.ec.fits[109] 900.0 1.000 0. 0.009 141024.0039.ec.fits[110] 900.0 1.000 0. 0.009 141024.0039.ec.fits[111] 900.0 1.000 0. 0.009 141024.0039.ec.fits[112] 900.0 1.000 0. 0.009 141024.0039.ec.fits[113] 900.0 1.000 0. 0.009 141024.0039.ec.fits[114] 900.0 1.000 0. 0.009 141024.0039.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141024.0039.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.602, w2 = 10811.62, dw = 0.04384186, nw = 169976., dtype = 0 Oct 24 12:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0040.ec.fits[ 1] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 2] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 3] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 4] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 5] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 6] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 7] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 8] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 9] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 10] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 11] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 12] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 13] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 14] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 15] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 16] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 17] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 18] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 19] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 20] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 21] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 22] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 23] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 24] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 25] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 26] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 27] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 28] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 29] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 30] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 31] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 32] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 33] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 34] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 35] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 36] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 37] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 38] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 39] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 40] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 41] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 42] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 43] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 44] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 45] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 46] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 47] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 48] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 49] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 50] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 51] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 52] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 53] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 54] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 55] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 56] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 57] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 58] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 59] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 60] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 61] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 62] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 63] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 64] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 65] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 66] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 67] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 68] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 69] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 70] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 71] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 72] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 73] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 74] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 75] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 76] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 77] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 78] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 79] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 80] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 81] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 82] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 83] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 84] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 85] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 86] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 87] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 88] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 89] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 90] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 91] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 92] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 93] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 94] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 95] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 96] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 97] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 98] 900.0 1.000 0. 0.009 141024.0040.ec.fits[ 99] 900.0 1.000 0. 0.009 141024.0040.ec.fits[100] 900.0 1.000 0. 0.009 141024.0040.ec.fits[101] 900.0 1.000 0. 0.009 141024.0040.ec.fits[102] 900.0 1.000 0. 0.009 141024.0040.ec.fits[103] 900.0 1.000 0. 0.009 141024.0040.ec.fits[104] 900.0 1.000 0. 0.009 141024.0040.ec.fits[105] 900.0 1.000 0. 0.009 141024.0040.ec.fits[106] 900.0 1.000 0. 0.009 141024.0040.ec.fits[107] 900.0 1.000 0. 0.009 141024.0040.ec.fits[108] 900.0 1.000 0. 0.009 141024.0040.ec.fits[109] 900.0 1.000 0. 0.009 141024.0040.ec.fits[110] 900.0 1.000 0. 0.009 141024.0040.ec.fits[111] 900.0 1.000 0. 0.009 141024.0040.ec.fits[112] 900.0 1.000 0. 0.009 141024.0040.ec.fits[113] 900.0 1.000 0. 0.009 141024.0040.ec.fits[114] 900.0 1.000 0. 0.009 141024.0040.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141024.0040.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.582, w2 = 10811.61, dw = 0.04381742, nw = 170071., dtype = 0 Oct 24 12:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141024.0041.ec.fits[ 1] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 2] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 3] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 4] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 5] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 6] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 7] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 8] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 9] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 10] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 11] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 12] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 13] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 14] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 15] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 16] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 17] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 18] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 19] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 20] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 21] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 22] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 23] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 24] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 25] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 26] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 27] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 28] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 29] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 30] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 31] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 32] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 33] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 34] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 35] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 36] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 37] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 38] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 39] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 40] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 41] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 42] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 43] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 44] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 45] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 46] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 47] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 48] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 49] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 50] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 51] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 52] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 53] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 54] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 55] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 56] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 57] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 58] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 59] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 60] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 61] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 62] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 63] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 64] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 65] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 66] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 67] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 68] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 69] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 70] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 71] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 72] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 73] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 74] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 75] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 76] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 77] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 78] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 79] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 80] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 81] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 82] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 83] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 84] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 85] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 86] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 87] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 88] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 89] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 90] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 91] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 92] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 93] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 94] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 95] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 96] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 97] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 98] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[ 99] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[100] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[101] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[102] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[103] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[104] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[105] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[106] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[107] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[108] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[109] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[110] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[111] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[112] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[113] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[114] 1500.0 1.000 0. 0.009 141024.0041.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141024.0041.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.555, w2 = 10811.6, dw = 0.0437853, nw = 170196., dtype = 0 Oct 24 12:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0022.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[100] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[101] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[102] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[103] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[104] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[105] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[106] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[107] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[108] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[109] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[110] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[111] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[112] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[113] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[114] 600.0 1.000 0. 0.009 fitcont141024.0022.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont141024.0022.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.589, w2 = 10811.7, dw = 0.04379963, nw = 170142., dtype = 0 Oct 24 12:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0023.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[100] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[101] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[102] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[103] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[104] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[105] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[106] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[107] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[108] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[109] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[110] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[111] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[112] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[113] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[114] 720.0 1.000 0. 0.009 fitcont141024.0023.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont141024.0023.ec.fits, ncombine = 115, exptime = 82800. w1 = 3359.627, w2 = 10811.69, dw = 0.04377464, nw = 170238., dtype = 0 Oct 24 12:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0024.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141024.0024.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141024.0024.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.686, w2 = 10811.67, dw = 0.04373694, nw = 170383., dtype = 0 Oct 24 12:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0026.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141024.0026.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141024.0026.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.704, w2 = 10811.66, dw = 0.04370779, nw = 170496., dtype = 0 Oct 24 12:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141024.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141024.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.662, w2 = 10811.66, dw = 0.04370035, nw = 170526., dtype = 0 Oct 24 12:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0028.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141024.0028.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141024.0028.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.613, w2 = 10811.67, dw = 0.04369167, nw = 170561., dtype = 0 Oct 24 12:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141024.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141024.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.587, w2 = 10811.66, dw = 0.04369668, nw = 170542., dtype = 0 Oct 24 12:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141024.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141024.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.584, w2 = 10811.66, dw = 0.04371844, nw = 170457., dtype = 0 Oct 24 12:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0033.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141024.0033.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141024.0033.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.582, w2 = 10811.65, dw = 0.04374536, nw = 170352., dtype = 0 Oct 24 12:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0035.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141024.0035.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141024.0035.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.586, w2 = 10811.64, dw = 0.04377305, nw = 170244., dtype = 0 Oct 24 12:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0036.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141024.0036.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141024.0036.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.597, w2 = 10811.64, dw = 0.04380487, nw = 170120., dtype = 0 Oct 24 12:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0037.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141024.0037.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141024.0037.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.61, w2 = 10811.63, dw = 0.04384033, nw = 169982., dtype = 0 Oct 24 12:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0039.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141024.0039.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141024.0039.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.602, w2 = 10811.62, dw = 0.04384186, nw = 169976., dtype = 0 Oct 24 12:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0040.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141024.0040.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141024.0040.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.582, w2 = 10811.61, dw = 0.04381742, nw = 170071., dtype = 0 Oct 24 12:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141024.0041.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141024.0041.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141024.0041.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.555, w2 = 10811.6, dw = 0.0437853, nw = 170196., dtype = 0 68999.99 fullspec141024.0022.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspec141024.0022.ec.fits updated 82800. fullspec141024.0023.ec.fits,EXPTIME: 82800. -> 720.0 fullspec141024.0023.ec.fits updated 172500. fullspec141024.0024.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141024.0024.ec.fits updated 103500. fullspec141024.0026.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141024.0026.ec.fits updated 172500. fullspec141024.0027.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141024.0027.ec.fits updated 138000. fullspec141024.0028.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141024.0028.ec.fits updated 103500. fullspec141024.0030.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141024.0030.ec.fits updated 172500. fullspec141024.0031.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141024.0031.ec.fits updated 138000. fullspec141024.0033.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141024.0033.ec.fits updated 103500. fullspec141024.0035.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141024.0035.ec.fits updated 172500. fullspec141024.0036.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141024.0036.ec.fits updated 138000. fullspec141024.0037.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141024.0037.ec.fits updated 103500. fullspec141024.0039.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141024.0039.ec.fits updated 103500. fullspec141024.0040.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141024.0040.ec.fits updated 172500. fullspec141024.0041.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141024.0041.ec.fits updated ALL DONE! Yay! (=^.^=)