0 0 0 0 0 Changing to reduced data directory Generating file lists... Setting dispaxis... add 160325.0020.fits,dispaxis = 1 160325.0020.fits updated add 160325.0021.fits,dispaxis = 1 160325.0021.fits updated add 160325.0023.fits,dispaxis = 1 160325.0023.fits updated add 160325.0024.fits,dispaxis = 1 160325.0024.fits updated add 160325.0025.fits,dispaxis = 1 160325.0025.fits updated add 160325.0027.fits,dispaxis = 1 160325.0027.fits updated add 160325.0028.fits,dispaxis = 1 160325.0028.fits updated add 160325.0029.fits,dispaxis = 1 160325.0029.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.0009.fits,dispaxis = 1 EchelleFlat.0009.fits updated add EchelleFlat.0010.fits,dispaxis = 1 EchelleFlat.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlat.0054.fits,dispaxis = 1 EchelleFlat.0054.fits updated add EchelleFlat.0055.fits,dispaxis = 1 EchelleFlat.0055.fits updated add EchelleFlat.0056.fits,dispaxis = 1 EchelleFlat.0056.fits updated add EchelleFlatBlue.0014.fits,dispaxis = 1 EchelleFlatBlue.0014.fits updated add EchelleFlatBlue.0015.fits,dispaxis = 1 EchelleFlatBlue.0015.fits updated add EchelleFlatBlue.0016.fits,dispaxis = 1 EchelleFlatBlue.0016.fits updated add EchelleThAr.0017.fits,dispaxis = 1 EchelleThAr.0017.fits updated add EchelleThAr.0018.fits,dispaxis = 1 EchelleThAr.0018.fits updated add EchelleThAr.0019.fits,dispaxis = 1 EchelleThAr.0019.fits updated add EchelleThAr.0022.fits,dispaxis = 1 EchelleThAr.0022.fits updated add EchelleThAr.0026.fits,dispaxis = 1 EchelleThAr.0026.fits updated add EchelleThAr.0030.fits,dispaxis = 1 EchelleThAr.0030.fits updated Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0009.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0010.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0054.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0055.fits with mask echmask.pl Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. FIXPIX: image EchelleFlat.0056.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0014.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0015.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0016.fits with mask echmask.pl FIXPIX: image 160325.0020.fits with mask echmask.pl FIXPIX: image 160325.0021.fits with mask echmask.pl FIXPIX: image 160325.0023.fits with mask echmask.pl FIXPIX: image 160325.0024.fits with mask echmask.pl FIXPIX: image 160325.0025.fits with mask echmask.pl FIXPIX: image 160325.0027.fits with mask echmask.pl FIXPIX: image 160325.0028.fits with mask echmask.pl FIXPIX: image 160325.0029.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl FIXPIX: image EchelleThAr.0018.fits with mask echmask.pl FIXPIX: image EchelleThAr.0019.fits with mask echmask.pl FIXPIX: image EchelleThAr.0022.fits with mask echmask.pl FIXPIX: image EchelleThAr.0026.fits with mask echmask.pl FIXPIX: image EchelleThAr.0030.fits with mask echmask.pl Warning: Cannot open file (ccddb$kpno/echelle.dat) Apr 19 16:10: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 1.6 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.4 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 2.4 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.4 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 2.4 Output image = bias_fid, ncombine = 10 test test test test test test test test test test test test test test test test test test Warning: Cannot open file (ccddb$kpno/echelle.dat) Apr 19 16:11: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 1.6 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.4 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 2.4 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.4 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 2.4 Output image = bias_fid, ncombine = 10 test test test test test test test test test test test test test test test test test test Warning: Cannot open file (ccddb$kpno/echelle.dat) Apr 19 16:11: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 1.6 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.4 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 2.4 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.4 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 2.4 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... Warning: Cannot open file (ccddb$kpno/echelle.dat) 160325.0020.fits: Apr 19 16:13 Trim data section is [200:1850,1:2048] bias_fid: Apr 19 16:13 Trim data section is [200:1850,1:2048] 160325.0020.fits: Apr 19 16:13 Zero level correction image is bias_fid 160325.0021.fits: Apr 19 16:13 Trim data section is [200:1850,1:2048] 160325.0021.fits: Apr 19 16:13 Zero level correction image is bias_fid 160325.0023.fits: Apr 19 16:13 Trim data section is [200:1850,1:2048] 160325.0023.fits: Apr 19 16:13 Zero level correction image is bias_fid 160325.0024.fits: Apr 19 16:13 Trim data section is [200:1850,1:2048] 160325.0024.fits: Apr 19 16:13 Zero level correction image is bias_fid 160325.0025.fits: Apr 19 16:13 Trim data section is [200:1850,1:2048] 160325.0025.fits: Apr 19 16:13 Zero level correction image is bias_fid 160325.0027.fits: Apr 19 16:13 Trim data section is [200:1850,1:2048] 160325.0027.fits: Apr 19 16:13 Zero level correction image is bias_fid 160325.0028.fits: Apr 19 16:13 Trim data section is [200:1850,1:2048] 160325.0028.fits: Apr 19 16:13 Zero level correction image is bias_fid 160325.0029.fits: Apr 19 16:13 Trim data section is [200:1850,1:2048] 160325.0029.fits: Apr 19 16:13 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Warning: Cannot open file (ccddb$kpno/echelle.dat) Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0009.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleFlat.0009.fits: Apr 19 16:14 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0010.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleFlat.0010.fits: Apr 19 16:14 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0011.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Apr 19 16:14 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0054.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleFlat.0054.fits: Apr 19 16:14 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0055.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleFlat.0055.fits: Apr 19 16:14 Zero level correction image is bias_fid Warning: setting CD1_1 to 1. Warning: setting CD2_2 to 1. EchelleFlat.0056.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleFlat.0056.fits: Apr 19 16:14 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Warning: Cannot open file (ccddb$kpno/echelle.dat) EchelleFlatBlue.0014.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Apr 19 16:14 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Apr 19 16:14 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Apr 19 16:14 Zero level correction image is bias_fid Calibrating ThAr arcs... Warning: Cannot open file (ccddb$kpno/echelle.dat) EchelleThAr.0017.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Apr 19 16:14 Zero level correction image is bias_fid EchelleThAr.0018.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Apr 19 16:14 Zero level correction image is bias_fid EchelleThAr.0019.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Apr 19 16:14 Zero level correction image is bias_fid EchelleThAr.0022.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleThAr.0022.fits: Apr 19 16:14 Zero level correction image is bias_fid EchelleThAr.0026.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleThAr.0026.fits: Apr 19 16:14 Zero level correction image is bias_fid EchelleThAr.0030.fits: Apr 19 16:14 Trim data section is [200:1850,1:2048] EchelleThAr.0030.fits: Apr 19 16:14 Zero level correction image is bias_fid 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Combining red and blue flats into separate fiducial flats... Warning: Cannot open file (ccddb$kpno/echelle.dat) Apr 19 16:15: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0014.fits 200.0 EchelleFlatBlue.0015.fits 200.0 EchelleFlatBlue.0016.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 testing!!!!!!!!!!!! Warning: Cannot open file (ccddb$kpno/echelle.dat) Apr 19 16:16: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0009.fits 7.0 EchelleFlat.0010.fits 7.0 EchelleFlat.0011.fits 7.0 EchelleFlat.0054.fits 7.0 EchelleFlat.0055.fits 7.0 EchelleFlat.0056.fits 7.0 Output image = flat_red_mean.fits, ncombine = 6 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Warning: Cannot open file (ccddb$kpno/echelle.dat) Warning: Operation would overwrite existing image (bias_fid.fits) Modeling and extracting the superflat... Apr 19 16:18: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1552. Apr 19 16:18: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1553. Apr 19 16:18: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1600. Apr 19 16:18: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1601. Apr 19 16:18: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1639. Apr 19 16:18: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1640. Apr 19 16:18: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1638. Apr 19 16:18: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1639. Apr 19 16:18: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1640. Apr 19 16:18: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 101. Apr 19 16:18: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 100. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1595. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1596. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1597. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1614. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1615. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1616. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1617. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1618. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 148. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 147. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 136. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 135. Apr 19 16:18: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 134. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1556. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1557. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1599. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1600. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1617. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1618. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1626. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1627. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1628. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 192. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 191. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 190. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 189. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 186. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 185. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 184. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 139. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 138. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 137. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 130. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 129. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 103. Apr 19 16:18: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 102. Apr 19 16:18: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1554. Apr 19 16:18: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1555. Apr 19 16:18: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 198. Apr 19 16:18: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 197. Apr 19 16:18: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 127. Apr 19 16:18: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 126. Apr 19 16:18: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 125. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1584. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1585. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1586. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1587. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1588. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1596. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1597. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1598. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1607. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1608. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1614. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1615. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1616. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1618. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1619. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1620. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 135. Apr 19 16:18: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 134. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1501. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1502. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1575. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1576. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1577. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 153. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 152. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 151. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 126. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 125. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 103. Apr 19 16:18: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 102. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1409. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1410. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1535. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1536. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1537. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 201. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 200. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 182. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 181. Apr 19 16:18: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 180. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1412. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1413. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1454. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1455. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1456. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 191. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 190. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 189. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 176. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 175. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 174. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 167. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 166. Apr 19 16:18: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 165. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1480. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1481. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1499. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1500. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1527. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1528. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1540. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1541. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1542. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1543. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1553. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1554. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1555. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1559. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1560. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1584. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1585. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1614. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1615. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1637. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1638. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1639. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 288. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 287. Apr 19 16:18: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 286. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1409. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1410. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1420. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1421. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1422. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1493. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1494. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1495. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 305. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 304. Apr 19 16:18: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 303. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1413. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1414. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1472. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1473. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1474. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 267. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 266. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 259. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 258. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 257. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 215. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 214. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 205. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 204. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 190. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 189. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 188. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 187. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 186. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 176. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 175. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 170. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 169. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 168. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 167. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 160. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 159. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 136. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 135. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 130. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 129. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 125. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 124. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 123. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 117. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 116. Apr 19 16:18: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 115. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1287. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1288. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1305. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1306. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1307. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1308. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1309. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1310. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1331. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1332. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1414. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1415. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1416. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1446. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1447. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1448. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1449. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1461. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1462. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1478. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1479. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1480. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1491. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1492. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1493. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1511. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1512. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1513. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 389. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 388. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 286. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 285. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 284. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 262. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 261. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 260. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 242. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 241. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 214. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 213. Apr 19 16:18: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 212. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1163. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1164. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1247. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1248. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1249. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1253. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1254. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1283. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1284. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1347. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1348. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1360. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1361. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1365. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1366. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1368. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1369. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1398. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1399. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1400. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 295. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 294. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 292. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 291. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 286. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 285. Apr 19 16:18: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 284. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1054. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1055. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1056. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1072. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1073. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1074. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 387. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 386. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 374. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 373. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 371. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 370. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 369. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 368. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 340. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 339. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 331. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 330. Apr 19 16:18: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 329. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 881. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 882. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 927. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 928. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 929. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 991. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 992. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1020. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1021. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1035. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1036. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1037. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1053. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1054. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1055. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1056. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1057. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1074. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1075. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1076. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 547. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 546. Apr 19 16:18: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 545. Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 20.72 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real 1 0 Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0017.fits Magnify image EchelleThAr.0017.fits to image EchelleThAr.0017.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.0017.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0017.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0018.fits Magnify image EchelleThAr.0018.fits to image EchelleThAr.0018.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.0018.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0018.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0019.fits Magnify image EchelleThAr.0019.fits to image EchelleThAr.0019.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.0019.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0019.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0022.fits Magnify image EchelleThAr.0022.fits to image EchelleThAr.0022.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0022.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0022.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0026.fits Magnify image EchelleThAr.0026.fits to image EchelleThAr.0026.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0026.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0026.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0030.fits Magnify image EchelleThAr.0030.fits to image EchelleThAr.0030.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.0030.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0030.fits updated Applying model apertures to the arc and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. 0 0 Resampling the object by a factor of 4 in the y direction... 160325.0020 Magnify image 160325.0020 to image 160325.0020. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 160325.0020,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 160325.0020 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 160325.0020 -> noscat160325.0020 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Apr 19 16:23: EXTRACT: WARNING - Aperture 1: Apr 19 16:23: Total variance weighted spectrum flux is 6742.97 Apr 19 16:23: Total unweighted spectrum flux is -1303.57 Apr 19 16:23: Variance spectrum bias factor ignored Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Apr 19 16:24: EXTRACT: WARNING - Aperture 103: Apr 19 16:24: Total variance weighted spectrum flux is 15454.11 Apr 19 16:24: Total unweighted spectrum flux is 6813.295 Apr 19 16:24: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4408727 Apr 19 16:24: EXTRACT: WARNING - Aperture 104: Apr 19 16:24: Total variance weighted spectrum flux is 7034.953 Apr 19 16:24: Total unweighted spectrum flux is 3423.236 Apr 19 16:24: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4866039 Apr 19 16:24: EXTRACT: WARNING - Aperture 105: Apr 19 16:24: Total variance weighted spectrum flux is 10143.19 Apr 19 16:24: Total unweighted spectrum flux is 3331.263 Apr 19 16:24: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3284235 Apr 19 16:24: EXTRACT: WARNING - Aperture 106: Apr 19 16:24: Total variance weighted spectrum flux is 5408.57 Apr 19 16:24: Total unweighted spectrum flux is 1269.408 Apr 19 16:24: EXTRACT: Aperture 106 variance spectrum bias factor is 0.234703 Apr 19 16:24: EXTRACT: WARNING - Aperture 107: Apr 19 16:24: Total variance weighted spectrum flux is 3847.291 Apr 19 16:24: Total unweighted spectrum flux is -397.3836 Apr 19 16:24: Variance spectrum bias factor ignored Apr 19 16:24: EXTRACT: WARNING - Aperture 108: Apr 19 16:24: Total variance weighted spectrum flux is 4167.967 Apr 19 16:24: Total unweighted spectrum flux is 341.3622 Apr 19 16:24: EXTRACT: Aperture 108 variance spectrum bias factor is 0.08190136 Apr 19 16:24: EXTRACT: WARNING - Aperture 109: Apr 19 16:24: Total variance weighted spectrum flux is 5243.815 Apr 19 16:24: Total unweighted spectrum flux is 1051.723 Apr 19 16:24: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2005644 Apr 19 16:24: EXTRACT: WARNING - Aperture 110: Apr 19 16:24: Total variance weighted spectrum flux is 5797.463 Apr 19 16:24: Total unweighted spectrum flux is 2514.303 Apr 19 16:24: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4336903 Apr 19 16:24: EXTRACT: WARNING - Aperture 111: Apr 19 16:24: Total variance weighted spectrum flux is 4418.561 Apr 19 16:24: Total unweighted spectrum flux is 590.3506 Apr 19 16:24: EXTRACT: Aperture 111 variance spectrum bias factor is 0.133607 Apr 19 16:25: EXTRACT: WARNING - Aperture 112: Apr 19 16:25: Total variance weighted spectrum flux is 7848.157 Apr 19 16:25: Total unweighted spectrum flux is 550.8533 Apr 19 16:25: EXTRACT: Aperture 112 variance spectrum bias factor is 0.07018887 Apr 19 16:25: EXTRACT: WARNING - Aperture 113: Apr 19 16:25: Total variance weighted spectrum flux is 4534.576 Apr 19 16:25: Total unweighted spectrum flux is 1909.87 Apr 19 16:25: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4211793 Apr 19 16:25: EXTRACT: WARNING - Aperture 115: Apr 19 16:25: Total variance weighted spectrum flux is 3136.053 Apr 19 16:25: Total unweighted spectrum flux is 320.3026 Apr 19 16:25: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1021356 Resampling the object by a factor of 4 in the y direction... 160325.0021 Magnify image 160325.0021 to image 160325.0021. 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 160325.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 160325.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 160325.0021 -> noscat160325.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Apr 19 16:25: EXTRACT: WARNING - Aperture 1: Apr 19 16:25: Total variance weighted spectrum flux is 2657.918 Apr 19 16:25: Total unweighted spectrum flux is 769.5872 Apr 19 16:25: EXTRACT: Aperture 1 variance spectrum bias factor is 0.2895451 Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Apr 19 16:26: EXTRACT: WARNING - Aperture 104: Apr 19 16:26: Total variance weighted spectrum flux is 12985.8 Apr 19 16:26: Total unweighted spectrum flux is 6455.851 Apr 19 16:26: EXTRACT: Aperture 104 variance spectrum bias factor is 0.497147 Apr 19 16:26: EXTRACT: WARNING - Aperture 105: Apr 19 16:26: Total variance weighted spectrum flux is 8926.218 Apr 19 16:26: Total unweighted spectrum flux is 3110.537 Apr 19 16:26: EXTRACT: Aperture 105 variance spectrum bias factor is 0.348472 Apr 19 16:26: EXTRACT: WARNING - Aperture 106: Apr 19 16:26: Total variance weighted spectrum flux is 7607.22 Apr 19 16:26: Total unweighted spectrum flux is 1882.428 Apr 19 16:26: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2474528 Apr 19 16:26: EXTRACT: WARNING - Aperture 107: Apr 19 16:26: Total variance weighted spectrum flux is 13710.31 Apr 19 16:26: Total unweighted spectrum flux is 5977.074 Apr 19 16:26: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4359546 Apr 19 16:26: EXTRACT: WARNING - Aperture 109: Apr 19 16:26: Total variance weighted spectrum flux is 6747.643 Apr 19 16:26: Total unweighted spectrum flux is 2159.82 Apr 19 16:26: EXTRACT: Aperture 109 variance spectrum bias factor is 0.320085 Apr 19 16:26: EXTRACT: WARNING - Aperture 110: Apr 19 16:26: Total variance weighted spectrum flux is 3173.947 Apr 19 16:26: Total unweighted spectrum flux is 849.6219 Apr 19 16:26: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2676862 Apr 19 16:26: EXTRACT: WARNING - Aperture 111: Apr 19 16:26: Total variance weighted spectrum flux is 10781.51 Apr 19 16:26: Total unweighted spectrum flux is 4200.763 Apr 19 16:26: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3896266 Apr 19 16:26: EXTRACT: WARNING - Aperture 112: Apr 19 16:26: Total variance weighted spectrum flux is 8399.752 Apr 19 16:26: Total unweighted spectrum flux is 1556.366 Apr 19 16:26: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1852871 Apr 19 16:26: EXTRACT: WARNING - Aperture 113: Apr 19 16:26: Total variance weighted spectrum flux is 2830.947 Apr 19 16:26: Total unweighted spectrum flux is 628.8407 Apr 19 16:26: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2221309 Apr 19 16:26: EXTRACT: WARNING - Aperture 114: Apr 19 16:26: Total variance weighted spectrum flux is 2609.621 Apr 19 16:26: Total unweighted spectrum flux is 1167.687 Apr 19 16:26: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4474548 Apr 19 16:26: EXTRACT: WARNING - Aperture 115: Apr 19 16:26: Total variance weighted spectrum flux is 3551.693 Apr 19 16:26: Total unweighted spectrum flux is 917.4943 Apr 19 16:26: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2583259 Resampling the object by a factor of 4 in the y direction... 160325.0023 Magnify image 160325.0023 to image 160325.0023. 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 160325.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 160325.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 160325.0023 -> noscat160325.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Apr 19 16:28: EXTRACT: WARNING - Aperture 109: Apr 19 16:28: Total variance weighted spectrum flux is 10878.02 Apr 19 16:28: Total unweighted spectrum flux is 5355.662 Apr 19 16:28: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4923381 Apr 19 16:28: EXTRACT: WARNING - Aperture 110: Apr 19 16:28: Total variance weighted spectrum flux is 12480.45 Apr 19 16:28: Total unweighted spectrum flux is 6216.345 Apr 19 16:28: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4980867 Apr 19 16:28: EXTRACT: WARNING - Aperture 111: Apr 19 16:28: Total variance weighted spectrum flux is 11451.32 Apr 19 16:28: Total unweighted spectrum flux is 3258.271 Apr 19 16:28: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2845325 Apr 19 16:28: EXTRACT: WARNING - Aperture 112: Apr 19 16:28: Total variance weighted spectrum flux is 6536.702 Apr 19 16:28: Total unweighted spectrum flux is 756.5936 Apr 19 16:28: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1157455 Apr 19 16:28: EXTRACT: WARNING - Aperture 113: Apr 19 16:28: Total variance weighted spectrum flux is 7494.476 Apr 19 16:28: Total unweighted spectrum flux is 2981.168 Apr 19 16:28: EXTRACT: Aperture 113 variance spectrum bias factor is 0.397782 Apr 19 16:28: EXTRACT: WARNING - Aperture 115: Apr 19 16:28: Total variance weighted spectrum flux is 2534.809 Apr 19 16:28: Total unweighted spectrum flux is 973.2239 Apr 19 16:28: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3839436 Resampling the object by a factor of 4 in the y direction... 160325.0024 Magnify image 160325.0024 to image 160325.0024. 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 160325.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 160325.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 160325.0024 -> noscat160325.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Apr 19 16:29: EXTRACT: WARNING - Aperture 99: Apr 19 16:29: Total variance weighted spectrum flux is 18710.58 Apr 19 16:29: Total unweighted spectrum flux is 8830.896 Apr 19 16:29: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4719734 Apr 19 16:29: EXTRACT: WARNING - Aperture 104: Apr 19 16:29: Total variance weighted spectrum flux is 4642.416 Apr 19 16:29: Total unweighted spectrum flux is 1821.531 Apr 19 16:29: EXTRACT: Aperture 104 variance spectrum bias factor is 0.392367 Apr 19 16:29: EXTRACT: WARNING - Aperture 105: Apr 19 16:29: Total variance weighted spectrum flux is 10571.53 Apr 19 16:29: Total unweighted spectrum flux is 4266.811 Apr 19 16:29: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4036133 Apr 19 16:29: EXTRACT: WARNING - Aperture 106: Apr 19 16:29: Total variance weighted spectrum flux is 6681.623 Apr 19 16:29: Total unweighted spectrum flux is 3013.386 Apr 19 16:29: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4509961 Apr 19 16:29: EXTRACT: WARNING - Aperture 107: Apr 19 16:29: Total variance weighted spectrum flux is 6158.91 Apr 19 16:29: Total unweighted spectrum flux is 646.3109 Apr 19 16:29: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1049392 Apr 19 16:29: EXTRACT: WARNING - Aperture 108: Apr 19 16:29: Total variance weighted spectrum flux is 5608.383 Apr 19 16:29: Total unweighted spectrum flux is 2802.514 Apr 19 16:29: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4997008 Apr 19 16:29: EXTRACT: WARNING - Aperture 109: Apr 19 16:29: Total variance weighted spectrum flux is 4169.499 Apr 19 16:29: Total unweighted spectrum flux is 777.8139 Apr 19 16:29: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1865485 Apr 19 16:29: EXTRACT: WARNING - Aperture 110: Apr 19 16:29: Total variance weighted spectrum flux is 3897.469 Apr 19 16:29: Total unweighted spectrum flux is 353.3469 Apr 19 16:29: EXTRACT: Aperture 110 variance spectrum bias factor is 0.09066061 Apr 19 16:29: EXTRACT: WARNING - Aperture 111: Apr 19 16:29: Total variance weighted spectrum flux is 4853.81 Apr 19 16:29: Total unweighted spectrum flux is 933.7712 Apr 19 16:29: EXTRACT: Aperture 111 variance spectrum bias factor is 0.192379 Apr 19 16:29: EXTRACT: WARNING - Aperture 112: Apr 19 16:29: Total variance weighted spectrum flux is 2938.046 Apr 19 16:29: Total unweighted spectrum flux is 382.0661 Apr 19 16:29: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1300409 Apr 19 16:29: EXTRACT: WARNING - Aperture 113: Apr 19 16:29: Total variance weighted spectrum flux is 5797.027 Apr 19 16:29: Total unweighted spectrum flux is 73.10196 Apr 19 16:29: EXTRACT: Aperture 113 variance spectrum bias factor is 0.01261025 Apr 19 16:29: EXTRACT: WARNING - Aperture 114: Apr 19 16:29: Total variance weighted spectrum flux is 3906.889 Apr 19 16:29: Total unweighted spectrum flux is 1824.415 Apr 19 16:29: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4669739 Apr 19 16:29: EXTRACT: WARNING - Aperture 115: Apr 19 16:29: Total variance weighted spectrum flux is 2217.5 Apr 19 16:29: Total unweighted spectrum flux is -352.0838 Apr 19 16:29: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 160325.0025 Magnify image 160325.0025 to image 160325.0025. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 160325.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 160325.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 160325.0025 -> noscat160325.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Apr 19 16:31: EXTRACT: WARNING - Aperture 112: Apr 19 16:31: Total variance weighted spectrum flux is 13129.81 Apr 19 16:31: Total unweighted spectrum flux is 6247.479 Apr 19 16:31: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4758241 Apr 19 16:31: EXTRACT: WARNING - Aperture 114: Apr 19 16:31: Total variance weighted spectrum flux is 2819.19 Apr 19 16:31: Total unweighted spectrum flux is 1081.366 Apr 19 16:31: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3835734 Resampling the object by a factor of 4 in the y direction... 160325.0027 Magnify image 160325.0027 to image 160325.0027. 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 160325.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 160325.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 160325.0027 -> noscat160325.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Apr 19 16:32: EXTRACT: WARNING - Aperture 106: Apr 19 16:32: Total variance weighted spectrum flux is 6549.213 Apr 19 16:32: Total unweighted spectrum flux is 2986.409 Apr 19 16:32: EXTRACT: Aperture 106 variance spectrum bias factor is 0.455995 Apr 19 16:32: EXTRACT: WARNING - Aperture 107: Apr 19 16:32: Total variance weighted spectrum flux is 8952.869 Apr 19 16:32: Total unweighted spectrum flux is 3899.684 Apr 19 16:32: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4355792 Apr 19 16:33: EXTRACT: WARNING - Aperture 109: Apr 19 16:33: Total variance weighted spectrum flux is 7750.843 Apr 19 16:33: Total unweighted spectrum flux is 2107.626 Apr 19 16:33: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2719222 Apr 19 16:33: EXTRACT: WARNING - Aperture 110: Apr 19 16:33: Total variance weighted spectrum flux is 2987.969 Apr 19 16:33: Total unweighted spectrum flux is 973.3118 Apr 19 16:33: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3257437 Apr 19 16:33: EXTRACT: WARNING - Aperture 111: Apr 19 16:33: Total variance weighted spectrum flux is 10412.95 Apr 19 16:33: Total unweighted spectrum flux is 3352.219 Apr 19 16:33: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3219278 Apr 19 16:33: EXTRACT: WARNING - Aperture 112: Apr 19 16:33: Total variance weighted spectrum flux is 12446.79 Apr 19 16:33: Total unweighted spectrum flux is 3588.065 Apr 19 16:33: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2882722 Apr 19 16:33: EXTRACT: WARNING - Aperture 113: Apr 19 16:33: Total variance weighted spectrum flux is 3925.042 Apr 19 16:33: Total unweighted spectrum flux is 255.1915 Apr 19 16:33: EXTRACT: Aperture 113 variance spectrum bias factor is 0.06501625 Apr 19 16:33: EXTRACT: WARNING - Aperture 114: Apr 19 16:33: Total variance weighted spectrum flux is 3961.995 Apr 19 16:33: Total unweighted spectrum flux is 1243.132 Apr 19 16:33: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3137642 Apr 19 16:33: EXTRACT: WARNING - Aperture 115: Apr 19 16:33: Total variance weighted spectrum flux is 1342.148 Apr 19 16:33: Total unweighted spectrum flux is 342.8713 Apr 19 16:33: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2554646 Resampling the object by a factor of 4 in the y direction... 160325.0028 Magnify image 160325.0028 to image 160325.0028. 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 160325.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 160325.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 160325.0028 -> noscat160325.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. Apr 19 16:34: EXTRACT: WARNING - Aperture 107: Apr 19 16:34: Total variance weighted spectrum flux is 8402.017 Apr 19 16:34: Total unweighted spectrum flux is 3543.931 Apr 19 16:34: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4217953 Apr 19 16:34: EXTRACT: WARNING - Aperture 109: Apr 19 16:34: Total variance weighted spectrum flux is 6528.301 Apr 19 16:34: Total unweighted spectrum flux is 1692.055 Apr 19 16:34: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2591876 Apr 19 16:34: EXTRACT: WARNING - Aperture 110: Apr 19 16:34: Total variance weighted spectrum flux is 11865.04 Apr 19 16:34: Total unweighted spectrum flux is 4043.291 Apr 19 16:34: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3407735 Apr 19 16:34: EXTRACT: WARNING - Aperture 111: Apr 19 16:34: Total variance weighted spectrum flux is 2850.62 Apr 19 16:34: Total unweighted spectrum flux is 516.1451 Apr 19 16:34: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1810642 Apr 19 16:34: EXTRACT: WARNING - Aperture 112: Apr 19 16:34: Total variance weighted spectrum flux is 4839.585 Apr 19 16:34: Total unweighted spectrum flux is 859.126 Apr 19 16:34: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1775206 Apr 19 16:34: EXTRACT: WARNING - Aperture 113: Apr 19 16:34: Total variance weighted spectrum flux is 5550.957 Apr 19 16:34: Total unweighted spectrum flux is 1102.024 Apr 19 16:34: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1985287 Apr 19 16:34: EXTRACT: WARNING - Aperture 114: Apr 19 16:34: Total variance weighted spectrum flux is 5716.754 Apr 19 16:34: Total unweighted spectrum flux is 2668.993 Apr 19 16:34: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4668722 Resampling the object by a factor of 4 in the y direction... 160325.0029 Magnify image 160325.0029 to image 160325.0029. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 160325.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 160325.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 160325.0029 -> noscat160325.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Warning: Coordinate system ignored (rotated?). Using pixel coordinates. File "", line 1 flist.close() ^ IndentationError: unexpected indent add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,REFSPEC1 = EchelleThAr.0018.ec.fits EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,REFSPEC1 = EchelleThAr.0019.ec.fits EchelleThAr.0019.ec.fits updated add EchelleThAr.0022.ec.fits,REFSPEC1 = EchelleThAr.0022.ec.fits EchelleThAr.0022.ec.fits updated add EchelleThAr.0026.ec.fits,REFSPEC1 = EchelleThAr.0026.ec.fits EchelleThAr.0026.ec.fits updated add EchelleThAr.0030.ec.fits,REFSPEC1 = EchelleThAr.0030.ec.fits EchelleThAr.0030.ec.fits updated Flatfielding extracted arcs and object spectra... 0 0 add EchelleThAr.0017.ec.fits,UTMIDDLE = 0 EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 0 -> 07:48:18.593771 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 07:51:20.732226 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 07:54:24.499186 EchelleThAr.0019.ec.fits updated add EchelleThAr.0022.ec.fits,UTMIDDLE = 0 EchelleThAr.0022.ec.fits updated EchelleThAr.0022.ec.fits,UTMIDDLE: 0 -> 09:12:13.477255 EchelleThAr.0022.ec.fits updated add EchelleThAr.0026.ec.fits,UTMIDDLE = 0 EchelleThAr.0026.ec.fits updated EchelleThAr.0026.ec.fits,UTMIDDLE: 0 -> 10:19:02.180737 EchelleThAr.0026.ec.fits updated add EchelleThAr.0030.ec.fits,UTMIDDLE = 0 EchelleThAr.0030.ec.fits updated EchelleThAr.0030.ec.fits,UTMIDDLE: 0 -> 12:12:31.112250 EchelleThAr.0030.ec.fits updated add 160325.0020.ec.fits,UTMIDDLE = 0 160325.0020.ec.fits updated 160325.0020.ec.fits,UTMIDDLE: 0 -> 08:30:55.235007 160325.0020.ec.fits updated add 160325.0021.ec.fits,UTMIDDLE = 0 160325.0021.ec.fits updated 160325.0021.ec.fits,UTMIDDLE: 0 -> 08:56:49.231736 160325.0021.ec.fits updated add 160325.0023.ec.fits,UTMIDDLE = 0 160325.0023.ec.fits updated 160325.0023.ec.fits,UTMIDDLE: 0 -> 09:24:06.328990 160325.0023.ec.fits updated add 160325.0024.ec.fits,UTMIDDLE = 0 160325.0024.ec.fits updated 160325.0024.ec.fits,UTMIDDLE: 0 -> 09:45:54.444678 160325.0024.ec.fits updated add 160325.0025.ec.fits,UTMIDDLE = 0 160325.0025.ec.fits updated 160325.0025.ec.fits,UTMIDDLE: 0 -> 10:07:45.009967 160325.0025.ec.fits updated add 160325.0027.ec.fits,UTMIDDLE = 0 160325.0027.ec.fits updated 160325.0027.ec.fits,UTMIDDLE: 0 -> 10:35:57.920881 160325.0027.ec.fits updated add 160325.0028.ec.fits,UTMIDDLE = 0 160325.0028.ec.fits updated 160325.0028.ec.fits,UTMIDDLE: 0 -> 11:12:28.514755 160325.0028.ec.fits updated add 160325.0029.ec.fits,UTMIDDLE = 0 160325.0029.ec.fits updated 160325.0029.ec.fits,UTMIDDLE: 0 -> 12:00:28.395789 160325.0029.ec.fits updated Setting Julian Date Keywords Warning: Cannot open file (noao$lib/obsdb.dat) Killing IRAF task `setjd' Traceback (most recent call last): File "", line 2, in File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 767, in __call__ return self.run(*args, **kw) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 359, in run self._run(redirKW, specialKW) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 811, in _run "\n"+str(value)) stsci.tools.irafglobals.IrafError: Error running IRAF task setjd IRAF task terminated abnormally ERROR (501, "segmentation violation") Warning: Cannot open file (noao$lib/obsdb.dat) Killing IRAF task `setairmass' Traceback (most recent call last): File "", line 4, in File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 767, in __call__ return self.run(*args, **kw) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 359, in run self._run(redirKW, specialKW) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 811, in _run "\n"+str(value)) stsci.tools.irafglobals.IrafError: Error running IRAF task setairmass IRAF task terminated abnormally ERROR (501, "segmentation violation") Warning: Cannot open file (noao$lib/obsdb.dat) Killing IRAF task `setairmass' Traceback (most recent call last): File "", line 4, in File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 767, in __call__ return self.run(*args, **kw) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 359, in run self._run(redirKW, specialKW) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 811, in _run "\n"+str(value)) stsci.tools.irafglobals.IrafError: Error running IRAF task setairmass IRAF task terminated abnormally ERROR (501, "segmentation violation") Warning: Cannot open file (noao$lib/obsdb.dat) Killing IRAF task `setjd' Traceback (most recent call last): File "", line 2, in File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 767, in __call__ return self.run(*args, **kw) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 359, in run self._run(redirKW, specialKW) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 811, in _run "\n"+str(value)) stsci.tools.irafglobals.IrafError: Error running IRAF task setjd IRAF task terminated abnormally ERROR (501, "segmentation violation") Warning: Cannot open file (noao$lib/obsdb.dat) Killing IRAF task `setjd' Traceback (most recent call last): File "", line 2, in File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 767, in __call__ return self.run(*args, **kw) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 359, in run self._run(redirKW, specialKW) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 811, in _run "\n"+str(value)) stsci.tools.irafglobals.IrafError: Error running IRAF task setjd IRAF task terminated abnormally ERROR (501, "segmentation violation") Warning: Cannot open file (noao$lib/obsdb.dat) Killing IRAF task `setjd' Traceback (most recent call last): File "", line 2, in File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 767, in __call__ return self.run(*args, **kw) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 359, in run self._run(redirKW, specialKW) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 811, in _run "\n"+str(value)) stsci.tools.irafglobals.IrafError: Error running IRAF task setjd IRAF task terminated abnormally ERROR (501, "segmentation violation") Killing IRAF task `refspectra' Traceback (most recent call last): File "", line 3, in File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 767, in __call__ return self.run(*args, **kw) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 359, in run self._run(redirKW, specialKW) File "/home/local/anaconda/lib/python2.7/site-packages/pyraf/iraftask.py", line 811, in _run "\n"+str(value)) stsci.tools.irafglobals.IrafError: Error running IRAF task refspectra IRAF task terminated abnormally ERROR (1, "No reference images specified") ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 16:47:25 19-Apr-2016 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1567/2055 1567/1567 -5.43 39.8 7.02E-5 0.0142 EchelleThAr.0018.ec 1397/2055 1397/1397 -5.4 39.6 6.99E-5 0.0155 EchelleThAr.0019.ec 1277/2055 1277/1277 -5.36 39.4 6.94E-5 0.0173 EchelleThAr.0022.ec 1375/2055 1375/1375 -5.18 38. 6.70E-5 0.0162 EchelleThAr.0026.ec 1583/2055 1583/1583 -5.18 38. 6.70E-5 0.0142 EchelleThAr.0030.ec 1611/2055 1611/1611 -5.28 38.7 6.83E-5 0.0142 [160325.0020.ec] refspec1='EchelleThAr.0019.ec 0.53078902' [160325.0020.ec] refspec2='EchelleThAr.0022.ec 0.46921098' [160325.0021.ec] refspec1='EchelleThAr.0019.ec 0.19795457' [160325.0021.ec] refspec2='EchelleThAr.0022.ec 0.80204546' [160325.0023.ec] refspec1='EchelleThAr.0022.ec 0.82217401' [160325.0023.ec] refspec2='EchelleThAr.0026.ec 0.177826' [160325.0024.ec] refspec1='EchelleThAr.0022.ec 0.49585509' [160325.0024.ec] refspec2='EchelleThAr.0026.ec 0.50414491' [160325.0025.ec] refspec1='EchelleThAr.0022.ec 0.16892514' [160325.0025.ec] refspec2='EchelleThAr.0026.ec 0.83107489' [160325.0027.ec] refspec1='EchelleThAr.0026.ec 0.85082239' [160325.0027.ec] refspec2='EchelleThAr.0030.ec 0.14917761' [160325.0028.ec] refspec1='EchelleThAr.0026.ec 0.52909881' [160325.0028.ec] refspec2='EchelleThAr.0030.ec 0.47090119' [160325.0029.ec] refspec1='EchelleThAr.0026.ec 0.10614242' [160325.0029.ec] refspec2='EchelleThAr.0030.ec 0.8938576' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0019.ec] refspec1='EchelleThAr.0019.ec' [EchelleThAr.0022.ec] refspec1='EchelleThAr.0022.ec' [EchelleThAr.0026.ec] refspec1='EchelleThAr.0026.ec' [EchelleThAr.0030.ec] refspec1='EchelleThAr.0030.ec' 160325.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 0.53078902' 160325.0020.ec.fits: REFSPEC2 = 'EchelleThAr.0022.ec 0.46921098' 160325.0020.ec.fits: ap = 1, w1 = 10811., w2 = 10582.89, dw = -0.13825, nw = 1651 160325.0020.ec.fits: ap = 2, w1 = 10610.82, w2 = 10386.92, dw = -0.1357, nw = 1651 160325.0020.ec.fits: ap = 3, w1 = 10417.92, w2 = 10198.08, dw = -0.13323, nw = 1651 160325.0020.ec.fits: ap = 4, w1 = 10231.91, w2 = 10015.99, dw = -0.13086, nw = 1651 160325.0020.ec.fits: ap = 5, w1 = 10052.42, w2 = 9840.281, dw = -0.12857, nw = 1651 160325.0020.ec.fits: ap = 6, w1 = 9879.12, w2 = 9670.633, dw = -0.12636, nw = 1651 160325.0020.ec.fits: ap = 7, w1 = 9711.696, w2 = 9506.737, dw = -0.12422, nw = 1651 160325.0020.ec.fits: ap = 8, w1 = 9549.851, w2 = 9348.304, dw = -0.12215, nw = 1651 160325.0020.ec.fits: ap = 9, w1 = 9393.312, w2 = 9195.065, dw = -0.12015, nw = 1651 160325.0020.ec.fits: ap = 10, w1 = 9241.823, w2 = 9046.77, dw = -0.11821, nw = 1651 160325.0020.ec.fits: ap = 11, w1 = 9095.142, w2 = 8903.183, dw = -0.11634, nw = 1651 160325.0020.ec.fits: ap = 12, w1 = 8953.044, w2 = 8764.083, dw = -0.11452, nw = 1651 160325.0020.ec.fits: ap = 13, w1 = 8815.318, w2 = 8629.263, dw = -0.11276, nw = 1651 160325.0020.ec.fits: ap = 14, w1 = 8681.765, w2 = 8498.528, dw = -0.11105, nw = 1651 160325.0020.ec.fits: ap = 15, w1 = 8552.199, w2 = 8371.696, dw = -0.1094, nw = 1651 160325.0020.ec.fits: ap = 16, w1 = 8426.442, w2 = 8248.595, dw = -0.10779, nw = 1651 160325.0020.ec.fits: ap = 17, w1 = 8304.331, w2 = 8129.062, dw = -0.10622, nw = 1651 160325.0020.ec.fits: ap = 18, w1 = 8185.708, w2 = 8012.944, dw = -0.10471, nw = 1651 160325.0020.ec.fits: ap = 19, w1 = 8070.427, w2 = 7900.097, dw = -0.10323, nw = 1651 160325.0020.ec.fits: ap = 20, w1 = 7958.347, w2 = 7790.385, dw = -0.1018, nw = 1651 160325.0020.ec.fits: ap = 21, w1 = 7849.338, w2 = 7683.679, dw = -0.1004, nw = 1651 160325.0020.ec.fits: ap = 22, w1 = 7743.275, w2 = 7579.857, dw = -0.09904, nw = 1651 160325.0020.ec.fits: ap = 23, w1 = 7640.041, w2 = 7478.803, dw = -0.09772, nw = 1651 160325.0020.ec.fits: ap = 24, w1 = 7539.523, w2 = 7380.409, dw = -0.09643, nw = 1651 160325.0020.ec.fits: ap = 25, w1 = 7441.615, w2 = 7284.571, dw = -0.09518, nw = 1651 160325.0020.ec.fits: ap = 26, w1 = 7346.218, w2 = 7191.19, dw = -0.09396, nw = 1651 160325.0020.ec.fits: ap = 27, w1 = 7253.236, w2 = 7100.173, dw = -0.09277, nw = 1651 160325.0020.ec.fits: ap = 28, w1 = 7162.578, w2 = 7011.432, dw = -0.0916, nw = 1651 160325.0020.ec.fits: ap = 29, w1 = 7074.159, w2 = 6924.882, dw = -0.09047, nw = 1651 160325.0020.ec.fits: ap = 30, w1 = 6987.897, w2 = 6840.443, dw = -0.08937, nw = 1651 160325.0020.ec.fits: ap = 31, w1 = 6903.713, w2 = 6758.039, dw = -0.08829, nw = 1651 160325.0020.ec.fits: ap = 32, w1 = 6821.533, w2 = 6677.597, dw = -0.08723, nw = 1651 160325.0020.ec.fits: ap = 33, w1 = 6741.287, w2 = 6599.048, dw = -0.08621, nw = 1651 160325.0020.ec.fits: ap = 34, w1 = 6662.908, w2 = 6522.325, dw = -0.0852, nw = 1651 160325.0020.ec.fits: ap = 35, w1 = 6586.33, w2 = 6447.367, dw = -0.08422, nw = 1651 160325.0020.ec.fits: ap = 36, w1 = 6511.492, w2 = 6374.112, dw = -0.08326, nw = 1651 160325.0020.ec.fits: ap = 37, w1 = 6438.337, w2 = 6302.503, dw = -0.08232, nw = 1651 160325.0020.ec.fits: ap = 38, w1 = 6366.807, w2 = 6232.485, dw = -0.08141, nw = 1651 160325.0020.ec.fits: ap = 39, w1 = 6296.85, w2 = 6164.008, dw = -0.08051, nw = 1651 160325.0020.ec.fits: ap = 40, w1 = 6228.413, w2 = 6097.018, dw = -0.07963, nw = 1651 160325.0020.ec.fits: ap = 41, w1 = 6161.448, w2 = 6031.469, dw = -0.07878, nw = 1651 160325.0020.ec.fits: ap = 42, w1 = 6095.908, w2 = 5967.315, dw = -0.07794, nw = 1651 160325.0020.ec.fits: ap = 43, w1 = 6031.748, w2 = 5904.511, dw = -0.07711, nw = 1651 160325.0020.ec.fits: ap = 44, w1 = 5968.925, w2 = 5843.016, dw = -0.07631, nw = 1651 160325.0020.ec.fits: ap = 45, w1 = 5907.397, w2 = 5782.789, dw = -0.07552, nw = 1651 160325.0020.ec.fits: ap = 46, w1 = 5847.125, w2 = 5723.791, dw = -0.07475, nw = 1651 160325.0020.ec.fits: ap = 47, w1 = 5788.071, w2 = 5665.985, dw = -0.07399, nw = 1651 160325.0020.ec.fits: ap = 48, w1 = 5730.198, w2 = 5609.335, dw = -0.07325, nw = 1651 160325.0020.ec.fits: ap = 49, w1 = 5673.471, w2 = 5553.807, dw = -0.07252, nw = 1651 160325.0020.ec.fits: ap = 50, w1 = 5617.857, w2 = 5499.368, dw = -0.07181, nw = 1651 160325.0020.ec.fits: ap = 51, w1 = 5563.322, w2 = 5445.986, dw = -0.07111, nw = 1651 160325.0020.ec.fits: ap = 52, w1 = 5509.837, w2 = 5393.631, dw = -0.07043, nw = 1651 160325.0020.ec.fits: ap = 53, w1 = 5457.37, w2 = 5342.273, dw = -0.06976, nw = 1651 160325.0020.ec.fits: ap = 54, w1 = 5405.893, w2 = 5291.884, dw = -0.0691, nw = 1651 160325.0020.ec.fits: ap = 55, w1 = 5355.379, w2 = 5242.437, dw = -0.06845, nw = 1651 160325.0020.ec.fits: ap = 56, w1 = 5305.8, w2 = 5193.905, dw = -0.06782, nw = 1651 160325.0020.ec.fits: ap = 57, w1 = 5257.132, w2 = 5146.264, dw = -0.06719, nw = 1651 160325.0020.ec.fits: ap = 58, w1 = 5209.348, w2 = 5099.49, dw = -0.06658, nw = 1651 160325.0020.ec.fits: ap = 59, w1 = 5162.425, w2 = 5053.558, dw = -0.06598, nw = 1651 160325.0020.ec.fits: ap = 60, w1 = 5116.34, w2 = 5008.447, dw = -0.06539, nw = 1651 160325.0020.ec.fits: ap = 61, w1 = 5071.071, w2 = 4964.134, dw = -0.06481, nw = 1651 160325.0020.ec.fits: ap = 62, w1 = 5026.597, w2 = 4920.598, dw = -0.06424, nw = 1651 160325.0020.ec.fits: ap = 63, w1 = 4982.896, w2 = 4877.82, dw = -0.06368, nw = 1651 160325.0020.ec.fits: ap = 64, w1 = 4939.948, w2 = 4835.779, dw = -0.06313, nw = 1651 160325.0020.ec.fits: ap = 65, w1 = 4897.735, w2 = 4794.457, dw = -0.06259, nw = 1651 160325.0020.ec.fits: ap = 66, w1 = 4856.237, w2 = 4753.835, dw = -0.06206, nw = 1651 160325.0020.ec.fits: ap = 67, w1 = 4815.437, w2 = 4713.896, dw = -0.06154, nw = 1651 160325.0020.ec.fits: ap = 68, w1 = 4775.317, w2 = 4674.623, dw = -0.06103, nw = 1651 160325.0020.ec.fits: ap = 69, w1 = 4735.861, w2 = 4635.999, dw = -0.06052, nw = 1651 160325.0020.ec.fits: ap = 70, w1 = 4697.051, w2 = 4598.008, dw = -0.06003, nw = 1651 160325.0020.ec.fits: ap = 71, w1 = 4658.872, w2 = 4560.635, dw = -0.05954, nw = 1651 160325.0020.ec.fits: ap = 72, w1 = 4621.309, w2 = 4523.865, dw = -0.05906, nw = 1651 160325.0020.ec.fits: ap = 73, w1 = 4584.348, w2 = 4487.683, dw = -0.05858, nw = 1651 160325.0020.ec.fits: ap = 74, w1 = 4547.973, w2 = 4452.076, dw = -0.05812, nw = 1651 160325.0020.ec.fits: ap = 75, w1 = 4512.17, w2 = 4417.029, dw = -0.05766, nw = 1651 160325.0020.ec.fits: ap = 76, w1 = 4476.928, w2 = 4382.53, dw = -0.05721, nw = 1651 160325.0020.ec.fits: ap = 77, w1 = 4442.231, w2 = 4348.565, dw = -0.05677, nw = 1651 160325.0020.ec.fits: ap = 78, w1 = 4408.069, w2 = 4315.124, dw = -0.05633, nw = 1651 160325.0020.ec.fits: ap = 79, w1 = 4374.428, w2 = 4282.193, dw = -0.0559, nw = 1651 160325.0020.ec.fits: ap = 80, w1 = 4341.297, w2 = 4249.761, dw = -0.05548, nw = 1651 160325.0020.ec.fits: ap = 81, w1 = 4308.664, w2 = 4217.816, dw = -0.05506, nw = 1651 160325.0020.ec.fits: ap = 82, w1 = 4276.518, w2 = 4186.348, dw = -0.05465, nw = 1651 160325.0020.ec.fits: ap = 83, w1 = 4244.848, w2 = 4155.347, dw = -0.05424, nw = 1651 160325.0020.ec.fits: ap = 84, w1 = 4213.644, w2 = 4124.801, dw = -0.05384, nw = 1651 160325.0020.ec.fits: ap = 85, w1 = 4182.896, w2 = 4094.702, dw = -0.05345, nw = 1651 160325.0020.ec.fits: ap = 86, w1 = 4152.593, w2 = 4065.039, dw = -0.05306, nw = 1651 160325.0020.ec.fits: ap = 87, w1 = 4122.726, w2 = 4035.802, dw = -0.05268, nw = 1651 160325.0020.ec.fits: ap = 88, w1 = 4093.286, w2 = 4006.984, dw = -0.0523, nw = 1651 160325.0020.ec.fits: ap = 89, w1 = 4064.263, w2 = 3978.574, dw = -0.05193, nw = 1651 160325.0020.ec.fits: ap = 90, w1 = 4035.649, w2 = 3950.564, dw = -0.05157, nw = 1651 160325.0020.ec.fits: ap = 91, w1 = 4007.435, w2 = 3922.946, dw = -0.05121, nw = 1651 160325.0020.ec.fits: ap = 92, w1 = 3979.612, w2 = 3895.711, dw = -0.05085, nw = 1651 160325.0020.ec.fits: ap = 93, w1 = 3952.174, w2 = 3868.852, dw = -0.0505, nw = 1651 160325.0020.ec.fits: ap = 94, w1 = 3925.111, w2 = 3842.362, dw = -0.05015, nw = 1651 160325.0020.ec.fits: ap = 95, w1 = 3898.416, w2 = 3816.231, dw = -0.04981, nw = 1651 160325.0020.ec.fits: ap = 96, w1 = 3872.082, w2 = 3790.454, dw = -0.04947, nw = 1651 160325.0020.ec.fits: ap = 97, w1 = 3846.101, w2 = 3765.022, dw = -0.04914, nw = 1651 160325.0020.ec.fits: ap = 98, w1 = 3820.466, w2 = 3739.93, dw = -0.04881, nw = 1651 160325.0020.ec.fits: ap = 99, w1 = 3795.171, w2 = 3715.17, dw = -0.04849, nw = 1651 160325.0020.ec.fits: ap = 100, w1 = 3770.208, w2 = 3690.736, dw = -0.04816, nw = 1651 160325.0020.ec.fits: ap = 101, w1 = 3745.571, w2 = 3666.621, dw = -0.04785, nw = 1651 160325.0020.ec.fits: ap = 102, w1 = 3721.254, w2 = 3642.82, dw = -0.04754, nw = 1651 160325.0020.ec.fits: ap = 103, w1 = 3697.251, w2 = 3619.325, dw = -0.04723, nw = 1651 160325.0020.ec.fits: ap = 104, w1 = 3673.555, w2 = 3596.132, dw = -0.04692, nw = 1651 160325.0020.ec.fits: ap = 105, w1 = 3650.16, w2 = 3573.234, dw = -0.04662, nw = 1651 160325.0020.ec.fits: ap = 106, w1 = 3627.062, w2 = 3550.626, dw = -0.04632, nw = 1651 160325.0020.ec.fits: ap = 107, w1 = 3604.253, w2 = 3528.303, dw = -0.04603, nw = 1651 160325.0020.ec.fits: ap = 108, w1 = 3581.73, w2 = 3506.258, dw = -0.04574, nw = 1651 160325.0020.ec.fits: ap = 109, w1 = 3559.486, w2 = 3484.487, dw = -0.04545, nw = 1651 160325.0020.ec.fits: ap = 110, w1 = 3537.516, w2 = 3462.985, dw = -0.04517, nw = 1651 160325.0020.ec.fits: ap = 111, w1 = 3515.815, w2 = 3441.747, dw = -0.04489, nw = 1651 160325.0020.ec.fits: ap = 112, w1 = 3494.379, w2 = 3420.768, dw = -0.04461, nw = 1651 160325.0020.ec.fits: ap = 113, w1 = 3473.203, w2 = 3400.043, dw = -0.04434, nw = 1651 160325.0020.ec.fits: ap = 114, w1 = 3452.281, w2 = 3379.568, dw = -0.04407, nw = 1651 160325.0020.ec.fits: ap = 115, w1 = 3431.609, w2 = 3359.338, dw = -0.0438, nw = 1651 160325.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 0.19795457' 160325.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0022.ec 0.80204546' 160325.0021.ec.fits: ap = 1, w1 = 10810.96, w2 = 10582.86, dw = -0.13824, nw = 1651 160325.0021.ec.fits: ap = 2, w1 = 10610.79, w2 = 10386.9, dw = -0.13569, nw = 1651 160325.0021.ec.fits: ap = 3, w1 = 10417.9, w2 = 10198.06, dw = -0.13323, nw = 1651 160325.0021.ec.fits: ap = 4, w1 = 10231.89, w2 = 10015.97, dw = -0.13086, nw = 1651 160325.0021.ec.fits: ap = 5, w1 = 10052.41, w2 = 9840.271, dw = -0.12857, nw = 1651 160325.0021.ec.fits: ap = 6, w1 = 9879.114, w2 = 9670.628, dw = -0.12636, nw = 1651 160325.0021.ec.fits: ap = 7, w1 = 9711.693, w2 = 9506.735, dw = -0.12422, nw = 1651 160325.0021.ec.fits: ap = 8, w1 = 9549.852, w2 = 9348.305, dw = -0.12215, nw = 1651 160325.0021.ec.fits: ap = 9, w1 = 9393.317, w2 = 9195.069, dw = -0.12015, nw = 1651 160325.0021.ec.fits: ap = 10, w1 = 9241.829, w2 = 9046.776, dw = -0.11821, nw = 1651 160325.0021.ec.fits: ap = 11, w1 = 9095.151, w2 = 8903.19, dw = -0.11634, nw = 1651 160325.0021.ec.fits: ap = 12, w1 = 8953.055, w2 = 8764.092, dw = -0.11452, nw = 1651 160325.0021.ec.fits: ap = 13, w1 = 8815.33, w2 = 8629.273, dw = -0.11276, nw = 1651 160325.0021.ec.fits: ap = 14, w1 = 8681.778, w2 = 8498.54, dw = -0.11105, nw = 1651 160325.0021.ec.fits: ap = 15, w1 = 8552.213, w2 = 8371.709, dw = -0.1094, nw = 1651 160325.0021.ec.fits: ap = 16, w1 = 8426.457, w2 = 8248.608, dw = -0.10779, nw = 1651 160325.0021.ec.fits: ap = 17, w1 = 8304.346, w2 = 8129.075, dw = -0.10622, nw = 1651 160325.0021.ec.fits: ap = 18, w1 = 8185.723, w2 = 8012.957, dw = -0.10471, nw = 1651 160325.0021.ec.fits: ap = 19, w1 = 8070.442, w2 = 7900.111, dw = -0.10323, nw = 1651 160325.0021.ec.fits: ap = 20, w1 = 7958.362, w2 = 7790.399, dw = -0.1018, nw = 1651 160325.0021.ec.fits: ap = 21, w1 = 7849.353, w2 = 7683.693, dw = -0.1004, nw = 1651 160325.0021.ec.fits: ap = 22, w1 = 7743.29, w2 = 7579.87, dw = -0.09904, nw = 1651 160325.0021.ec.fits: ap = 23, w1 = 7640.055, w2 = 7478.816, dw = -0.09772, nw = 1651 160325.0021.ec.fits: ap = 24, w1 = 7539.536, w2 = 7380.422, dw = -0.09643, nw = 1651 160325.0021.ec.fits: ap = 25, w1 = 7441.628, w2 = 7284.583, dw = -0.09518, nw = 1651 160325.0021.ec.fits: ap = 26, w1 = 7346.23, w2 = 7191.202, dw = -0.09396, nw = 1651 160325.0021.ec.fits: ap = 27, w1 = 7253.248, w2 = 7100.185, dw = -0.09277, nw = 1651 160325.0021.ec.fits: ap = 28, w1 = 7162.59, w2 = 7011.443, dw = -0.0916, nw = 1651 160325.0021.ec.fits: ap = 29, w1 = 7074.17, w2 = 6924.893, dw = -0.09047, nw = 1651 160325.0021.ec.fits: ap = 30, w1 = 6987.906, w2 = 6840.453, dw = -0.08937, nw = 1651 160325.0021.ec.fits: ap = 31, w1 = 6903.722, w2 = 6758.048, dw = -0.08829, nw = 1651 160325.0021.ec.fits: ap = 32, w1 = 6821.542, w2 = 6677.606, dw = -0.08723, nw = 1651 160325.0021.ec.fits: ap = 33, w1 = 6741.295, w2 = 6599.056, dw = -0.08621, nw = 1651 160325.0021.ec.fits: ap = 34, w1 = 6662.915, w2 = 6522.333, dw = -0.0852, nw = 1651 160325.0021.ec.fits: ap = 35, w1 = 6586.336, w2 = 6447.373, dw = -0.08422, nw = 1651 160325.0021.ec.fits: ap = 36, w1 = 6511.498, w2 = 6374.118, dw = -0.08326, nw = 1651 160325.0021.ec.fits: ap = 37, w1 = 6438.342, w2 = 6302.508, dw = -0.08232, nw = 1651 160325.0021.ec.fits: ap = 38, w1 = 6366.812, w2 = 6232.491, dw = -0.08141, nw = 1651 160325.0021.ec.fits: ap = 39, w1 = 6296.854, w2 = 6164.012, dw = -0.08051, nw = 1651 160325.0021.ec.fits: ap = 40, w1 = 6228.417, w2 = 6097.022, dw = -0.07963, nw = 1651 160325.0021.ec.fits: ap = 41, w1 = 6161.452, w2 = 6031.472, dw = -0.07878, nw = 1651 160325.0021.ec.fits: ap = 42, w1 = 6095.911, w2 = 5967.317, dw = -0.07794, nw = 1651 160325.0021.ec.fits: ap = 43, w1 = 6031.751, w2 = 5904.513, dw = -0.07711, nw = 1651 160325.0021.ec.fits: ap = 44, w1 = 5968.927, w2 = 5843.018, dw = -0.07631, nw = 1651 160325.0021.ec.fits: ap = 45, w1 = 5907.399, w2 = 5782.79, dw = -0.07552, nw = 1651 160325.0021.ec.fits: ap = 46, w1 = 5847.127, w2 = 5723.792, dw = -0.07475, nw = 1651 160325.0021.ec.fits: ap = 47, w1 = 5788.073, w2 = 5665.986, dw = -0.07399, nw = 1651 160325.0021.ec.fits: ap = 48, w1 = 5730.2, w2 = 5609.336, dw = -0.07325, nw = 1651 160325.0021.ec.fits: ap = 49, w1 = 5673.473, w2 = 5553.808, dw = -0.07252, nw = 1651 160325.0021.ec.fits: ap = 50, w1 = 5617.858, w2 = 5499.368, dw = -0.07181, nw = 1651 160325.0021.ec.fits: ap = 51, w1 = 5563.324, w2 = 5445.986, dw = -0.07111, nw = 1651 160325.0021.ec.fits: ap = 52, w1 = 5509.839, w2 = 5393.631, dw = -0.07043, nw = 1651 160325.0021.ec.fits: ap = 53, w1 = 5457.372, w2 = 5342.273, dw = -0.06976, nw = 1651 160325.0021.ec.fits: ap = 54, w1 = 5405.896, w2 = 5291.884, dw = -0.0691, nw = 1651 160325.0021.ec.fits: ap = 55, w1 = 5355.382, w2 = 5242.436, dw = -0.06845, nw = 1651 160325.0021.ec.fits: ap = 56, w1 = 5305.803, w2 = 5193.905, dw = -0.06782, nw = 1651 160325.0021.ec.fits: ap = 57, w1 = 5257.135, w2 = 5146.264, dw = -0.06719, nw = 1651 160325.0021.ec.fits: ap = 58, w1 = 5209.351, w2 = 5099.49, dw = -0.06658, nw = 1651 160325.0021.ec.fits: ap = 59, w1 = 5162.429, w2 = 5053.558, dw = -0.06598, nw = 1651 160325.0021.ec.fits: ap = 60, w1 = 5116.344, w2 = 5008.447, dw = -0.06539, nw = 1651 160325.0021.ec.fits: ap = 61, w1 = 5071.076, w2 = 4964.134, dw = -0.06481, nw = 1651 160325.0021.ec.fits: ap = 62, w1 = 5026.601, w2 = 4920.598, dw = -0.06424, nw = 1651 160325.0021.ec.fits: ap = 63, w1 = 4982.901, w2 = 4877.82, dw = -0.06369, nw = 1651 160325.0021.ec.fits: ap = 64, w1 = 4939.954, w2 = 4835.78, dw = -0.06314, nw = 1651 160325.0021.ec.fits: ap = 65, w1 = 4897.741, w2 = 4794.458, dw = -0.0626, nw = 1651 160325.0021.ec.fits: ap = 66, w1 = 4856.244, w2 = 4753.836, dw = -0.06207, nw = 1651 160325.0021.ec.fits: ap = 67, w1 = 4815.444, w2 = 4713.898, dw = -0.06154, nw = 1651 160325.0021.ec.fits: ap = 68, w1 = 4775.324, w2 = 4674.625, dw = -0.06103, nw = 1651 160325.0021.ec.fits: ap = 69, w1 = 4735.868, w2 = 4636.001, dw = -0.06053, nw = 1651 160325.0021.ec.fits: ap = 70, w1 = 4697.058, w2 = 4598.01, dw = -0.06003, nw = 1651 160325.0021.ec.fits: ap = 71, w1 = 4658.88, w2 = 4560.637, dw = -0.05954, nw = 1651 160325.0021.ec.fits: ap = 72, w1 = 4621.317, w2 = 4523.867, dw = -0.05906, nw = 1651 160325.0021.ec.fits: ap = 73, w1 = 4584.356, w2 = 4487.686, dw = -0.05859, nw = 1651 160325.0021.ec.fits: ap = 74, w1 = 4547.981, w2 = 4452.078, dw = -0.05812, nw = 1651 160325.0021.ec.fits: ap = 75, w1 = 4512.178, w2 = 4417.032, dw = -0.05766, nw = 1651 160325.0021.ec.fits: ap = 76, w1 = 4476.936, w2 = 4382.533, dw = -0.05721, nw = 1651 160325.0021.ec.fits: ap = 77, w1 = 4442.239, w2 = 4348.568, dw = -0.05677, nw = 1651 160325.0021.ec.fits: ap = 78, w1 = 4408.077, w2 = 4315.127, dw = -0.05633, nw = 1651 160325.0021.ec.fits: ap = 79, w1 = 4374.436, w2 = 4282.196, dw = -0.0559, nw = 1651 160325.0021.ec.fits: ap = 80, w1 = 4341.304, w2 = 4249.764, dw = -0.05548, nw = 1651 160325.0021.ec.fits: ap = 81, w1 = 4308.671, w2 = 4217.819, dw = -0.05506, nw = 1651 160325.0021.ec.fits: ap = 82, w1 = 4276.524, w2 = 4186.352, dw = -0.05465, nw = 1651 160325.0021.ec.fits: ap = 83, w1 = 4244.854, w2 = 4155.35, dw = -0.05424, nw = 1651 160325.0021.ec.fits: ap = 84, w1 = 4213.649, w2 = 4124.805, dw = -0.05385, nw = 1651 160325.0021.ec.fits: ap = 85, w1 = 4182.9, w2 = 4094.705, dw = -0.05345, nw = 1651 160325.0021.ec.fits: ap = 86, w1 = 4152.596, w2 = 4065.041, dw = -0.05306, nw = 1651 160325.0021.ec.fits: ap = 87, w1 = 4122.728, w2 = 4035.805, dw = -0.05268, nw = 1651 160325.0021.ec.fits: ap = 88, w1 = 4093.287, w2 = 4006.985, dw = -0.0523, nw = 1651 160325.0021.ec.fits: ap = 89, w1 = 4064.263, w2 = 3978.575, dw = -0.05193, nw = 1651 160325.0021.ec.fits: ap = 90, w1 = 4035.647, w2 = 3950.565, dw = -0.05156, nw = 1651 160325.0021.ec.fits: ap = 91, w1 = 4007.431, w2 = 3922.946, dw = -0.0512, nw = 1651 160325.0021.ec.fits: ap = 92, w1 = 3979.607, w2 = 3895.711, dw = -0.05085, nw = 1651 160325.0021.ec.fits: ap = 93, w1 = 3952.166, w2 = 3868.851, dw = -0.05049, nw = 1651 160325.0021.ec.fits: ap = 94, w1 = 3925.101, w2 = 3842.36, dw = -0.05015, nw = 1651 160325.0021.ec.fits: ap = 95, w1 = 3898.404, w2 = 3816.228, dw = -0.0498, nw = 1651 160325.0021.ec.fits: ap = 96, w1 = 3872.067, w2 = 3790.45, dw = -0.04947, nw = 1651 160325.0021.ec.fits: ap = 97, w1 = 3846.084, w2 = 3765.018, dw = -0.04913, nw = 1651 160325.0021.ec.fits: ap = 98, w1 = 3820.446, w2 = 3739.924, dw = -0.0488, nw = 1651 160325.0021.ec.fits: ap = 99, w1 = 3795.147, w2 = 3715.163, dw = -0.04848, nw = 1651 160325.0021.ec.fits: ap = 100, w1 = 3770.181, w2 = 3690.727, dw = -0.04815, nw = 1651 160325.0021.ec.fits: ap = 101, w1 = 3745.541, w2 = 3666.611, dw = -0.04784, nw = 1651 160325.0021.ec.fits: ap = 102, w1 = 3721.22, w2 = 3642.808, dw = -0.04752, nw = 1651 160325.0021.ec.fits: ap = 103, w1 = 3697.212, w2 = 3619.312, dw = -0.04721, nw = 1651 160325.0021.ec.fits: ap = 104, w1 = 3673.512, w2 = 3596.116, dw = -0.04691, nw = 1651 160325.0021.ec.fits: ap = 105, w1 = 3650.113, w2 = 3573.217, dw = -0.0466, nw = 1651 160325.0021.ec.fits: ap = 106, w1 = 3627.01, w2 = 3550.606, dw = -0.0463, nw = 1651 160325.0021.ec.fits: ap = 107, w1 = 3604.196, w2 = 3528.281, dw = -0.04601, nw = 1651 160325.0021.ec.fits: ap = 108, w1 = 3581.667, w2 = 3506.233, dw = -0.04572, nw = 1651 160325.0021.ec.fits: ap = 109, w1 = 3559.418, w2 = 3484.46, dw = -0.04543, nw = 1651 160325.0021.ec.fits: ap = 110, w1 = 3537.442, w2 = 3462.955, dw = -0.04514, nw = 1651 160325.0021.ec.fits: ap = 111, w1 = 3515.735, w2 = 3441.714, dw = -0.04486, nw = 1651 160325.0021.ec.fits: ap = 112, w1 = 3494.292, w2 = 3420.732, dw = -0.04458, nw = 1651 160325.0021.ec.fits: ap = 113, w1 = 3473.109, w2 = 3400.004, dw = -0.04431, nw = 1651 160325.0021.ec.fits: ap = 114, w1 = 3452.179, w2 = 3379.525, dw = -0.04403, nw = 1651 160325.0021.ec.fits: ap = 115, w1 = 3431.5, w2 = 3359.292, dw = -0.04376, nw = 1651 160325.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0022.ec 0.82217401' 160325.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.177826' 160325.0023.ec.fits: ap = 1, w1 = 10810.95, w2 = 10582.84, dw = -0.13825, nw = 1651 160325.0023.ec.fits: ap = 2, w1 = 10610.78, w2 = 10386.89, dw = -0.13569, nw = 1651 160325.0023.ec.fits: ap = 3, w1 = 10417.89, w2 = 10198.06, dw = -0.13323, nw = 1651 160325.0023.ec.fits: ap = 4, w1 = 10231.88, w2 = 10015.97, dw = -0.13086, nw = 1651 160325.0023.ec.fits: ap = 5, w1 = 10052.4, w2 = 9840.267, dw = -0.12857, nw = 1651 160325.0023.ec.fits: ap = 6, w1 = 9879.112, w2 = 9670.626, dw = -0.12636, nw = 1651 160325.0023.ec.fits: ap = 7, w1 = 9711.692, w2 = 9506.734, dw = -0.12422, nw = 1651 160325.0023.ec.fits: ap = 8, w1 = 9549.852, w2 = 9348.305, dw = -0.12215, nw = 1651 160325.0023.ec.fits: ap = 9, w1 = 9393.317, w2 = 9195.071, dw = -0.12015, nw = 1651 160325.0023.ec.fits: ap = 10, w1 = 9241.831, w2 = 9046.779, dw = -0.11821, nw = 1651 160325.0023.ec.fits: ap = 11, w1 = 9095.152, w2 = 8903.194, dw = -0.11634, nw = 1651 160325.0023.ec.fits: ap = 12, w1 = 8953.057, w2 = 8764.096, dw = -0.11452, nw = 1651 160325.0023.ec.fits: ap = 13, w1 = 8815.333, w2 = 8629.278, dw = -0.11276, nw = 1651 160325.0023.ec.fits: ap = 14, w1 = 8681.782, w2 = 8498.545, dw = -0.11105, nw = 1651 160325.0023.ec.fits: ap = 15, w1 = 8552.216, w2 = 8371.715, dw = -0.10939, nw = 1651 160325.0023.ec.fits: ap = 16, w1 = 8426.461, w2 = 8248.614, dw = -0.10779, nw = 1651 160325.0023.ec.fits: ap = 17, w1 = 8304.35, w2 = 8129.082, dw = -0.10622, nw = 1651 160325.0023.ec.fits: ap = 18, w1 = 8185.728, w2 = 8012.965, dw = -0.10471, nw = 1651 160325.0023.ec.fits: ap = 19, w1 = 8070.447, w2 = 7900.118, dw = -0.10323, nw = 1651 160325.0023.ec.fits: ap = 20, w1 = 7958.367, w2 = 7790.406, dw = -0.10179, nw = 1651 160325.0023.ec.fits: ap = 21, w1 = 7849.358, w2 = 7683.7, dw = -0.1004, nw = 1651 160325.0023.ec.fits: ap = 22, w1 = 7743.295, w2 = 7579.877, dw = -0.09904, nw = 1651 160325.0023.ec.fits: ap = 23, w1 = 7640.059, w2 = 7478.823, dw = -0.09772, nw = 1651 160325.0023.ec.fits: ap = 24, w1 = 7539.541, w2 = 7380.429, dw = -0.09643, nw = 1651 160325.0023.ec.fits: ap = 25, w1 = 7441.633, w2 = 7284.59, dw = -0.09518, nw = 1651 160325.0023.ec.fits: ap = 26, w1 = 7346.235, w2 = 7191.208, dw = -0.09396, nw = 1651 160325.0023.ec.fits: ap = 27, w1 = 7253.252, w2 = 7100.191, dw = -0.09276, nw = 1651 160325.0023.ec.fits: ap = 28, w1 = 7162.594, w2 = 7011.449, dw = -0.0916, nw = 1651 160325.0023.ec.fits: ap = 29, w1 = 7074.174, w2 = 6924.898, dw = -0.09047, nw = 1651 160325.0023.ec.fits: ap = 30, w1 = 6987.911, w2 = 6840.458, dw = -0.08937, nw = 1651 160325.0023.ec.fits: ap = 31, w1 = 6903.726, w2 = 6758.053, dw = -0.08829, nw = 1651 160325.0023.ec.fits: ap = 32, w1 = 6821.546, w2 = 6677.61, dw = -0.08723, nw = 1651 160325.0023.ec.fits: ap = 33, w1 = 6741.299, w2 = 6599.06, dw = -0.08621, nw = 1651 160325.0023.ec.fits: ap = 34, w1 = 6662.918, w2 = 6522.337, dw = -0.0852, nw = 1651 160325.0023.ec.fits: ap = 35, w1 = 6586.34, w2 = 6447.377, dw = -0.08422, nw = 1651 160325.0023.ec.fits: ap = 36, w1 = 6511.502, w2 = 6374.121, dw = -0.08326, nw = 1651 160325.0023.ec.fits: ap = 37, w1 = 6438.346, w2 = 6302.512, dw = -0.08232, nw = 1651 160325.0023.ec.fits: ap = 38, w1 = 6366.815, w2 = 6232.494, dw = -0.08141, nw = 1651 160325.0023.ec.fits: ap = 39, w1 = 6296.857, w2 = 6164.014, dw = -0.08051, nw = 1651 160325.0023.ec.fits: ap = 40, w1 = 6228.42, w2 = 6097.024, dw = -0.07963, nw = 1651 160325.0023.ec.fits: ap = 41, w1 = 6161.455, w2 = 6031.474, dw = -0.07878, nw = 1651 160325.0023.ec.fits: ap = 42, w1 = 6095.914, w2 = 5967.319, dw = -0.07794, nw = 1651 160325.0023.ec.fits: ap = 43, w1 = 6031.754, w2 = 5904.515, dw = -0.07711, nw = 1651 160325.0023.ec.fits: ap = 44, w1 = 5968.93, w2 = 5843.019, dw = -0.07631, nw = 1651 160325.0023.ec.fits: ap = 45, w1 = 5907.402, w2 = 5782.791, dw = -0.07552, nw = 1651 160325.0023.ec.fits: ap = 46, w1 = 5847.13, w2 = 5723.793, dw = -0.07475, nw = 1651 160325.0023.ec.fits: ap = 47, w1 = 5788.076, w2 = 5665.986, dw = -0.07399, nw = 1651 160325.0023.ec.fits: ap = 48, w1 = 5730.203, w2 = 5609.336, dw = -0.07325, nw = 1651 160325.0023.ec.fits: ap = 49, w1 = 5673.476, w2 = 5553.808, dw = -0.07253, nw = 1651 160325.0023.ec.fits: ap = 50, w1 = 5617.861, w2 = 5499.368, dw = -0.07181, nw = 1651 160325.0023.ec.fits: ap = 51, w1 = 5563.327, w2 = 5445.986, dw = -0.07112, nw = 1651 160325.0023.ec.fits: ap = 52, w1 = 5509.841, w2 = 5393.631, dw = -0.07043, nw = 1651 160325.0023.ec.fits: ap = 53, w1 = 5457.375, w2 = 5342.272, dw = -0.06976, nw = 1651 160325.0023.ec.fits: ap = 54, w1 = 5405.898, w2 = 5291.883, dw = -0.0691, nw = 1651 160325.0023.ec.fits: ap = 55, w1 = 5355.384, w2 = 5242.436, dw = -0.06845, nw = 1651 160325.0023.ec.fits: ap = 56, w1 = 5305.806, w2 = 5193.905, dw = -0.06782, nw = 1651 160325.0023.ec.fits: ap = 57, w1 = 5257.138, w2 = 5146.264, dw = -0.0672, nw = 1651 160325.0023.ec.fits: ap = 58, w1 = 5209.354, w2 = 5099.489, dw = -0.06658, nw = 1651 160325.0023.ec.fits: ap = 59, w1 = 5162.432, w2 = 5053.558, dw = -0.06598, nw = 1651 160325.0023.ec.fits: ap = 60, w1 = 5116.347, w2 = 5008.446, dw = -0.06539, nw = 1651 160325.0023.ec.fits: ap = 61, w1 = 5071.079, w2 = 4964.133, dw = -0.06482, nw = 1651 160325.0023.ec.fits: ap = 62, w1 = 5026.605, w2 = 4920.598, dw = -0.06425, nw = 1651 160325.0023.ec.fits: ap = 63, w1 = 4982.904, w2 = 4877.82, dw = -0.06369, nw = 1651 160325.0023.ec.fits: ap = 64, w1 = 4939.957, w2 = 4835.779, dw = -0.06314, nw = 1651 160325.0023.ec.fits: ap = 65, w1 = 4897.744, w2 = 4794.458, dw = -0.0626, nw = 1651 160325.0023.ec.fits: ap = 66, w1 = 4856.247, w2 = 4753.836, dw = -0.06207, nw = 1651 160325.0023.ec.fits: ap = 67, w1 = 4815.448, w2 = 4713.898, dw = -0.06155, nw = 1651 160325.0023.ec.fits: ap = 68, w1 = 4775.328, w2 = 4674.625, dw = -0.06103, nw = 1651 160325.0023.ec.fits: ap = 69, w1 = 4735.872, w2 = 4636.001, dw = -0.06053, nw = 1651 160325.0023.ec.fits: ap = 70, w1 = 4697.062, w2 = 4598.011, dw = -0.06003, nw = 1651 160325.0023.ec.fits: ap = 71, w1 = 4658.884, w2 = 4560.638, dw = -0.05954, nw = 1651 160325.0023.ec.fits: ap = 72, w1 = 4621.321, w2 = 4523.868, dw = -0.05906, nw = 1651 160325.0023.ec.fits: ap = 73, w1 = 4584.36, w2 = 4487.686, dw = -0.05859, nw = 1651 160325.0023.ec.fits: ap = 74, w1 = 4547.985, w2 = 4452.079, dw = -0.05812, nw = 1651 160325.0023.ec.fits: ap = 75, w1 = 4512.183, w2 = 4417.033, dw = -0.05767, nw = 1651 160325.0023.ec.fits: ap = 76, w1 = 4476.94, w2 = 4382.534, dw = -0.05722, nw = 1651 160325.0023.ec.fits: ap = 77, w1 = 4442.244, w2 = 4348.57, dw = -0.05677, nw = 1651 160325.0023.ec.fits: ap = 78, w1 = 4408.081, w2 = 4315.129, dw = -0.05633, nw = 1651 160325.0023.ec.fits: ap = 79, w1 = 4374.44, w2 = 4282.198, dw = -0.0559, nw = 1651 160325.0023.ec.fits: ap = 80, w1 = 4341.308, w2 = 4249.766, dw = -0.05548, nw = 1651 160325.0023.ec.fits: ap = 81, w1 = 4308.675, w2 = 4217.822, dw = -0.05506, nw = 1651 160325.0023.ec.fits: ap = 82, w1 = 4276.529, w2 = 4186.354, dw = -0.05465, nw = 1651 160325.0023.ec.fits: ap = 83, w1 = 4244.858, w2 = 4155.353, dw = -0.05425, nw = 1651 160325.0023.ec.fits: ap = 84, w1 = 4213.653, w2 = 4124.807, dw = -0.05385, nw = 1651 160325.0023.ec.fits: ap = 85, w1 = 4182.904, w2 = 4094.708, dw = -0.05345, nw = 1651 160325.0023.ec.fits: ap = 86, w1 = 4152.6, w2 = 4065.044, dw = -0.05306, nw = 1651 160325.0023.ec.fits: ap = 87, w1 = 4122.732, w2 = 4035.808, dw = -0.05268, nw = 1651 160325.0023.ec.fits: ap = 88, w1 = 4093.29, w2 = 4006.989, dw = -0.0523, nw = 1651 160325.0023.ec.fits: ap = 89, w1 = 4064.265, w2 = 3978.578, dw = -0.05193, nw = 1651 160325.0023.ec.fits: ap = 90, w1 = 4035.649, w2 = 3950.568, dw = -0.05156, nw = 1651 160325.0023.ec.fits: ap = 91, w1 = 4007.434, w2 = 3922.95, dw = -0.0512, nw = 1651 160325.0023.ec.fits: ap = 92, w1 = 3979.61, w2 = 3895.715, dw = -0.05085, nw = 1651 160325.0023.ec.fits: ap = 93, w1 = 3952.168, w2 = 3868.855, dw = -0.05049, nw = 1651 160325.0023.ec.fits: ap = 94, w1 = 3925.103, w2 = 3842.363, dw = -0.05015, nw = 1651 160325.0023.ec.fits: ap = 95, w1 = 3898.405, w2 = 3816.232, dw = -0.0498, nw = 1651 160325.0023.ec.fits: ap = 96, w1 = 3872.068, w2 = 3790.453, dw = -0.04946, nw = 1651 160325.0023.ec.fits: ap = 97, w1 = 3846.084, w2 = 3765.021, dw = -0.04913, nw = 1651 160325.0023.ec.fits: ap = 98, w1 = 3820.445, w2 = 3739.927, dw = -0.0488, nw = 1651 160325.0023.ec.fits: ap = 99, w1 = 3795.146, w2 = 3715.166, dw = -0.04847, nw = 1651 160325.0023.ec.fits: ap = 100, w1 = 3770.18, w2 = 3690.73, dw = -0.04815, nw = 1651 160325.0023.ec.fits: ap = 101, w1 = 3745.539, w2 = 3666.614, dw = -0.04783, nw = 1651 160325.0023.ec.fits: ap = 102, w1 = 3721.217, w2 = 3642.81, dw = -0.04752, nw = 1651 160325.0023.ec.fits: ap = 103, w1 = 3697.209, w2 = 3619.314, dw = -0.04721, nw = 1651 160325.0023.ec.fits: ap = 104, w1 = 3673.508, w2 = 3596.119, dw = -0.0469, nw = 1651 160325.0023.ec.fits: ap = 105, w1 = 3650.108, w2 = 3573.218, dw = -0.0466, nw = 1651 160325.0023.ec.fits: ap = 106, w1 = 3627.004, w2 = 3550.608, dw = -0.0463, nw = 1651 160325.0023.ec.fits: ap = 107, w1 = 3604.189, w2 = 3528.282, dw = -0.046, nw = 1651 160325.0023.ec.fits: ap = 108, w1 = 3581.66, w2 = 3506.234, dw = -0.04571, nw = 1651 160325.0023.ec.fits: ap = 109, w1 = 3559.409, w2 = 3484.46, dw = -0.04542, nw = 1651 160325.0023.ec.fits: ap = 110, w1 = 3537.432, w2 = 3462.955, dw = -0.04514, nw = 1651 160325.0023.ec.fits: ap = 111, w1 = 3515.724, w2 = 3441.713, dw = -0.04485, nw = 1651 160325.0023.ec.fits: ap = 112, w1 = 3494.28, w2 = 3420.731, dw = -0.04458, nw = 1651 160325.0023.ec.fits: ap = 113, w1 = 3473.095, w2 = 3400.002, dw = -0.0443, nw = 1651 160325.0023.ec.fits: ap = 114, w1 = 3452.164, w2 = 3379.522, dw = -0.04403, nw = 1651 160325.0023.ec.fits: ap = 115, w1 = 3431.484, w2 = 3359.288, dw = -0.04375, nw = 1651 160325.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0022.ec 0.49585509' 160325.0024.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.50414491' 160325.0024.ec.fits: ap = 1, w1 = 10810.97, w2 = 10582.85, dw = -0.13826, nw = 1651 160325.0024.ec.fits: ap = 2, w1 = 10610.8, w2 = 10386.89, dw = -0.1357, nw = 1651 160325.0024.ec.fits: ap = 3, w1 = 10417.9, w2 = 10198.06, dw = -0.13324, nw = 1651 160325.0024.ec.fits: ap = 4, w1 = 10231.89, w2 = 10015.97, dw = -0.13086, nw = 1651 160325.0024.ec.fits: ap = 5, w1 = 10052.41, w2 = 9840.269, dw = -0.12857, nw = 1651 160325.0024.ec.fits: ap = 6, w1 = 9879.114, w2 = 9670.627, dw = -0.12636, nw = 1651 160325.0024.ec.fits: ap = 7, w1 = 9711.692, w2 = 9506.735, dw = -0.12422, nw = 1651 160325.0024.ec.fits: ap = 8, w1 = 9549.85, w2 = 9348.305, dw = -0.12215, nw = 1651 160325.0024.ec.fits: ap = 9, w1 = 9393.314, w2 = 9195.07, dw = -0.12015, nw = 1651 160325.0024.ec.fits: ap = 10, w1 = 9241.826, w2 = 9046.778, dw = -0.11821, nw = 1651 160325.0024.ec.fits: ap = 11, w1 = 9095.146, w2 = 8903.193, dw = -0.11634, nw = 1651 160325.0024.ec.fits: ap = 12, w1 = 8953.05, w2 = 8764.095, dw = -0.11452, nw = 1651 160325.0024.ec.fits: ap = 13, w1 = 8815.325, w2 = 8629.277, dw = -0.11276, nw = 1651 160325.0024.ec.fits: ap = 14, w1 = 8681.773, w2 = 8498.544, dw = -0.11105, nw = 1651 160325.0024.ec.fits: ap = 15, w1 = 8552.208, w2 = 8371.713, dw = -0.10939, nw = 1651 160325.0024.ec.fits: ap = 16, w1 = 8426.452, w2 = 8248.613, dw = -0.10778, nw = 1651 160325.0024.ec.fits: ap = 17, w1 = 8304.342, w2 = 8129.08, dw = -0.10622, nw = 1651 160325.0024.ec.fits: ap = 18, w1 = 8185.719, w2 = 8012.963, dw = -0.1047, nw = 1651 160325.0024.ec.fits: ap = 19, w1 = 8070.438, w2 = 7900.116, dw = -0.10323, nw = 1651 160325.0024.ec.fits: ap = 20, w1 = 7958.359, w2 = 7790.404, dw = -0.10179, nw = 1651 160325.0024.ec.fits: ap = 21, w1 = 7849.35, w2 = 7683.698, dw = -0.1004, nw = 1651 160325.0024.ec.fits: ap = 22, w1 = 7743.287, w2 = 7579.876, dw = -0.09904, nw = 1651 160325.0024.ec.fits: ap = 23, w1 = 7640.053, w2 = 7478.822, dw = -0.09772, nw = 1651 160325.0024.ec.fits: ap = 24, w1 = 7539.534, w2 = 7380.427, dw = -0.09643, nw = 1651 160325.0024.ec.fits: ap = 25, w1 = 7441.627, w2 = 7284.589, dw = -0.09517, nw = 1651 160325.0024.ec.fits: ap = 26, w1 = 7346.23, w2 = 7191.207, dw = -0.09395, nw = 1651 160325.0024.ec.fits: ap = 27, w1 = 7253.247, w2 = 7100.19, dw = -0.09276, nw = 1651 160325.0024.ec.fits: ap = 28, w1 = 7162.59, w2 = 7011.448, dw = -0.0916, nw = 1651 160325.0024.ec.fits: ap = 29, w1 = 7074.17, w2 = 6924.897, dw = -0.09047, nw = 1651 160325.0024.ec.fits: ap = 30, w1 = 6987.908, w2 = 6840.458, dw = -0.08936, nw = 1651 160325.0024.ec.fits: ap = 31, w1 = 6903.724, w2 = 6758.053, dw = -0.08829, nw = 1651 160325.0024.ec.fits: ap = 32, w1 = 6821.544, w2 = 6677.61, dw = -0.08723, nw = 1651 160325.0024.ec.fits: ap = 33, w1 = 6741.298, w2 = 6599.06, dw = -0.0862, nw = 1651 160325.0024.ec.fits: ap = 34, w1 = 6662.918, w2 = 6522.336, dw = -0.0852, nw = 1651 160325.0024.ec.fits: ap = 35, w1 = 6586.34, w2 = 6447.377, dw = -0.08422, nw = 1651 160325.0024.ec.fits: ap = 36, w1 = 6511.502, w2 = 6374.121, dw = -0.08326, nw = 1651 160325.0024.ec.fits: ap = 37, w1 = 6438.346, w2 = 6302.511, dw = -0.08232, nw = 1651 160325.0024.ec.fits: ap = 38, w1 = 6366.816, w2 = 6232.493, dw = -0.08141, nw = 1651 160325.0024.ec.fits: ap = 39, w1 = 6296.859, w2 = 6164.014, dw = -0.08051, nw = 1651 160325.0024.ec.fits: ap = 40, w1 = 6228.422, w2 = 6097.024, dw = -0.07964, nw = 1651 160325.0024.ec.fits: ap = 41, w1 = 6161.457, w2 = 6031.474, dw = -0.07878, nw = 1651 160325.0024.ec.fits: ap = 42, w1 = 6095.917, w2 = 5967.319, dw = -0.07794, nw = 1651 160325.0024.ec.fits: ap = 43, w1 = 6031.757, w2 = 5904.515, dw = -0.07712, nw = 1651 160325.0024.ec.fits: ap = 44, w1 = 5968.933, w2 = 5843.019, dw = -0.07631, nw = 1651 160325.0024.ec.fits: ap = 45, w1 = 5907.405, w2 = 5782.791, dw = -0.07552, nw = 1651 160325.0024.ec.fits: ap = 46, w1 = 5847.133, w2 = 5723.793, dw = -0.07475, nw = 1651 160325.0024.ec.fits: ap = 47, w1 = 5788.079, w2 = 5665.986, dw = -0.074, nw = 1651 160325.0024.ec.fits: ap = 48, w1 = 5730.206, w2 = 5609.336, dw = -0.07325, nw = 1651 160325.0024.ec.fits: ap = 49, w1 = 5673.479, w2 = 5553.808, dw = -0.07253, nw = 1651 160325.0024.ec.fits: ap = 50, w1 = 5617.864, w2 = 5499.368, dw = -0.07182, nw = 1651 160325.0024.ec.fits: ap = 51, w1 = 5563.33, w2 = 5445.986, dw = -0.07112, nw = 1651 160325.0024.ec.fits: ap = 52, w1 = 5509.844, w2 = 5393.63, dw = -0.07043, nw = 1651 160325.0024.ec.fits: ap = 53, w1 = 5457.378, w2 = 5342.272, dw = -0.06976, nw = 1651 160325.0024.ec.fits: ap = 54, w1 = 5405.901, w2 = 5291.883, dw = -0.0691, nw = 1651 160325.0024.ec.fits: ap = 55, w1 = 5355.387, w2 = 5242.435, dw = -0.06846, nw = 1651 160325.0024.ec.fits: ap = 56, w1 = 5305.809, w2 = 5193.904, dw = -0.06782, nw = 1651 160325.0024.ec.fits: ap = 57, w1 = 5257.14, w2 = 5146.263, dw = -0.0672, nw = 1651 160325.0024.ec.fits: ap = 58, w1 = 5209.356, w2 = 5099.488, dw = -0.06659, nw = 1651 160325.0024.ec.fits: ap = 59, w1 = 5162.434, w2 = 5053.557, dw = -0.06599, nw = 1651 160325.0024.ec.fits: ap = 60, w1 = 5116.349, w2 = 5008.445, dw = -0.0654, nw = 1651 160325.0024.ec.fits: ap = 61, w1 = 5071.08, w2 = 4964.132, dw = -0.06482, nw = 1651 160325.0024.ec.fits: ap = 62, w1 = 5026.606, w2 = 4920.597, dw = -0.06425, nw = 1651 160325.0024.ec.fits: ap = 63, w1 = 4982.905, w2 = 4877.819, dw = -0.06369, nw = 1651 160325.0024.ec.fits: ap = 64, w1 = 4939.958, w2 = 4835.778, dw = -0.06314, nw = 1651 160325.0024.ec.fits: ap = 65, w1 = 4897.745, w2 = 4794.456, dw = -0.0626, nw = 1651 160325.0024.ec.fits: ap = 66, w1 = 4856.247, w2 = 4753.835, dw = -0.06207, nw = 1651 160325.0024.ec.fits: ap = 67, w1 = 4815.447, w2 = 4713.896, dw = -0.06155, nw = 1651 160325.0024.ec.fits: ap = 68, w1 = 4775.328, w2 = 4674.624, dw = -0.06103, nw = 1651 160325.0024.ec.fits: ap = 69, w1 = 4735.871, w2 = 4636., dw = -0.06053, nw = 1651 160325.0024.ec.fits: ap = 70, w1 = 4697.061, w2 = 4598.009, dw = -0.06003, nw = 1651 160325.0024.ec.fits: ap = 71, w1 = 4658.883, w2 = 4560.637, dw = -0.05954, nw = 1651 160325.0024.ec.fits: ap = 72, w1 = 4621.32, w2 = 4523.867, dw = -0.05906, nw = 1651 160325.0024.ec.fits: ap = 73, w1 = 4584.359, w2 = 4487.686, dw = -0.05859, nw = 1651 160325.0024.ec.fits: ap = 74, w1 = 4547.984, w2 = 4452.078, dw = -0.05812, nw = 1651 160325.0024.ec.fits: ap = 75, w1 = 4512.182, w2 = 4417.032, dw = -0.05767, nw = 1651 160325.0024.ec.fits: ap = 76, w1 = 4476.939, w2 = 4382.534, dw = -0.05722, nw = 1651 160325.0024.ec.fits: ap = 77, w1 = 4442.243, w2 = 4348.57, dw = -0.05677, nw = 1651 160325.0024.ec.fits: ap = 78, w1 = 4408.08, w2 = 4315.129, dw = -0.05633, nw = 1651 160325.0024.ec.fits: ap = 79, w1 = 4374.439, w2 = 4282.198, dw = -0.0559, nw = 1651 160325.0024.ec.fits: ap = 80, w1 = 4341.308, w2 = 4249.766, dw = -0.05548, nw = 1651 160325.0024.ec.fits: ap = 81, w1 = 4308.675, w2 = 4217.822, dw = -0.05506, nw = 1651 160325.0024.ec.fits: ap = 82, w1 = 4276.529, w2 = 4186.355, dw = -0.05465, nw = 1651 160325.0024.ec.fits: ap = 83, w1 = 4244.859, w2 = 4155.354, dw = -0.05425, nw = 1651 160325.0024.ec.fits: ap = 84, w1 = 4213.655, w2 = 4124.809, dw = -0.05385, nw = 1651 160325.0024.ec.fits: ap = 85, w1 = 4182.906, w2 = 4094.71, dw = -0.05345, nw = 1651 160325.0024.ec.fits: ap = 86, w1 = 4152.603, w2 = 4065.047, dw = -0.05306, nw = 1651 160325.0024.ec.fits: ap = 87, w1 = 4122.736, w2 = 4035.811, dw = -0.05268, nw = 1651 160325.0024.ec.fits: ap = 88, w1 = 4093.295, w2 = 4006.993, dw = -0.0523, nw = 1651 160325.0024.ec.fits: ap = 89, w1 = 4064.271, w2 = 3978.583, dw = -0.05193, nw = 1651 160325.0024.ec.fits: ap = 90, w1 = 4035.657, w2 = 3950.573, dw = -0.05157, nw = 1651 160325.0024.ec.fits: ap = 91, w1 = 4007.442, w2 = 3922.956, dw = -0.0512, nw = 1651 160325.0024.ec.fits: ap = 92, w1 = 3979.62, w2 = 3895.722, dw = -0.05085, nw = 1651 160325.0024.ec.fits: ap = 93, w1 = 3952.18, w2 = 3868.863, dw = -0.0505, nw = 1651 160325.0024.ec.fits: ap = 94, w1 = 3925.116, w2 = 3842.372, dw = -0.05015, nw = 1651 160325.0024.ec.fits: ap = 95, w1 = 3898.42, w2 = 3816.241, dw = -0.04981, nw = 1651 160325.0024.ec.fits: ap = 96, w1 = 3872.085, w2 = 3790.464, dw = -0.04947, nw = 1651 160325.0024.ec.fits: ap = 97, w1 = 3846.103, w2 = 3765.033, dw = -0.04913, nw = 1651 160325.0024.ec.fits: ap = 98, w1 = 3820.467, w2 = 3739.94, dw = -0.0488, nw = 1651 160325.0024.ec.fits: ap = 99, w1 = 3795.17, w2 = 3715.18, dw = -0.04848, nw = 1651 160325.0024.ec.fits: ap = 100, w1 = 3770.206, w2 = 3690.746, dw = -0.04816, nw = 1651 160325.0024.ec.fits: ap = 101, w1 = 3745.568, w2 = 3666.63, dw = -0.04784, nw = 1651 160325.0024.ec.fits: ap = 102, w1 = 3721.249, w2 = 3642.828, dw = -0.04753, nw = 1651 160325.0024.ec.fits: ap = 103, w1 = 3697.244, w2 = 3619.333, dw = -0.04722, nw = 1651 160325.0024.ec.fits: ap = 104, w1 = 3673.546, w2 = 3596.14, dw = -0.04691, nw = 1651 160325.0024.ec.fits: ap = 105, w1 = 3650.15, w2 = 3573.241, dw = -0.04661, nw = 1651 160325.0024.ec.fits: ap = 106, w1 = 3627.05, w2 = 3550.632, dw = -0.04631, nw = 1651 160325.0024.ec.fits: ap = 107, w1 = 3604.239, w2 = 3528.308, dw = -0.04602, nw = 1651 160325.0024.ec.fits: ap = 108, w1 = 3581.713, w2 = 3506.262, dw = -0.04573, nw = 1651 160325.0024.ec.fits: ap = 109, w1 = 3559.467, w2 = 3484.49, dw = -0.04544, nw = 1651 160325.0024.ec.fits: ap = 110, w1 = 3537.495, w2 = 3462.987, dw = -0.04516, nw = 1651 160325.0024.ec.fits: ap = 111, w1 = 3515.792, w2 = 3441.747, dw = -0.04488, nw = 1651 160325.0024.ec.fits: ap = 112, w1 = 3494.352, w2 = 3420.767, dw = -0.0446, nw = 1651 160325.0024.ec.fits: ap = 113, w1 = 3473.173, w2 = 3400.04, dw = -0.04432, nw = 1651 160325.0024.ec.fits: ap = 114, w1 = 3452.248, w2 = 3379.563, dw = -0.04405, nw = 1651 160325.0024.ec.fits: ap = 115, w1 = 3431.573, w2 = 3359.331, dw = -0.04378, nw = 1651 160325.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0022.ec 0.16892514' 160325.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.83107489' 160325.0025.ec.fits: ap = 1, w1 = 10811., w2 = 10582.86, dw = -0.13827, nw = 1651 160325.0025.ec.fits: ap = 2, w1 = 10610.82, w2 = 10386.9, dw = -0.13571, nw = 1651 160325.0025.ec.fits: ap = 3, w1 = 10417.91, w2 = 10198.06, dw = -0.13324, nw = 1651 160325.0025.ec.fits: ap = 4, w1 = 10231.9, w2 = 10015.97, dw = -0.13087, nw = 1651 160325.0025.ec.fits: ap = 5, w1 = 10052.42, w2 = 9840.271, dw = -0.12857, nw = 1651 160325.0025.ec.fits: ap = 6, w1 = 9879.117, w2 = 9670.628, dw = -0.12636, nw = 1651 160325.0025.ec.fits: ap = 7, w1 = 9711.693, w2 = 9506.735, dw = -0.12422, nw = 1651 160325.0025.ec.fits: ap = 8, w1 = 9549.849, w2 = 9348.306, dw = -0.12215, nw = 1651 160325.0025.ec.fits: ap = 9, w1 = 9393.31, w2 = 9195.07, dw = -0.12015, nw = 1651 160325.0025.ec.fits: ap = 10, w1 = 9241.821, w2 = 9046.777, dw = -0.11821, nw = 1651 160325.0025.ec.fits: ap = 11, w1 = 9095.14, w2 = 8903.192, dw = -0.11633, nw = 1651 160325.0025.ec.fits: ap = 12, w1 = 8953.043, w2 = 8764.094, dw = -0.11451, nw = 1651 160325.0025.ec.fits: ap = 13, w1 = 8815.318, w2 = 8629.275, dw = -0.11275, nw = 1651 160325.0025.ec.fits: ap = 14, w1 = 8681.765, w2 = 8498.542, dw = -0.11104, nw = 1651 160325.0025.ec.fits: ap = 15, w1 = 8552.199, w2 = 8371.711, dw = -0.10939, nw = 1651 160325.0025.ec.fits: ap = 16, w1 = 8426.444, w2 = 8248.611, dw = -0.10778, nw = 1651 160325.0025.ec.fits: ap = 17, w1 = 8304.333, w2 = 8129.078, dw = -0.10621, nw = 1651 160325.0025.ec.fits: ap = 18, w1 = 8185.711, w2 = 8012.961, dw = -0.1047, nw = 1651 160325.0025.ec.fits: ap = 19, w1 = 8070.43, w2 = 7900.114, dw = -0.10322, nw = 1651 160325.0025.ec.fits: ap = 20, w1 = 7958.351, w2 = 7790.402, dw = -0.10179, nw = 1651 160325.0025.ec.fits: ap = 21, w1 = 7849.342, w2 = 7683.696, dw = -0.10039, nw = 1651 160325.0025.ec.fits: ap = 22, w1 = 7743.28, w2 = 7579.874, dw = -0.09903, nw = 1651 160325.0025.ec.fits: ap = 23, w1 = 7640.046, w2 = 7478.82, dw = -0.09771, nw = 1651 160325.0025.ec.fits: ap = 24, w1 = 7539.528, w2 = 7380.426, dw = -0.09643, nw = 1651 160325.0025.ec.fits: ap = 25, w1 = 7441.621, w2 = 7284.587, dw = -0.09517, nw = 1651 160325.0025.ec.fits: ap = 26, w1 = 7346.224, w2 = 7191.206, dw = -0.09395, nw = 1651 160325.0025.ec.fits: ap = 27, w1 = 7253.243, w2 = 7100.189, dw = -0.09276, nw = 1651 160325.0025.ec.fits: ap = 28, w1 = 7162.586, w2 = 7011.447, dw = -0.0916, nw = 1651 160325.0025.ec.fits: ap = 29, w1 = 7074.167, w2 = 6924.896, dw = -0.09047, nw = 1651 160325.0025.ec.fits: ap = 30, w1 = 6987.905, w2 = 6840.457, dw = -0.08936, nw = 1651 160325.0025.ec.fits: ap = 31, w1 = 6903.721, w2 = 6758.052, dw = -0.08828, nw = 1651 160325.0025.ec.fits: ap = 32, w1 = 6821.542, w2 = 6677.609, dw = -0.08723, nw = 1651 160325.0025.ec.fits: ap = 33, w1 = 6741.296, w2 = 6599.059, dw = -0.0862, nw = 1651 160325.0025.ec.fits: ap = 34, w1 = 6662.917, w2 = 6522.336, dw = -0.0852, nw = 1651 160325.0025.ec.fits: ap = 35, w1 = 6586.339, w2 = 6447.376, dw = -0.08422, nw = 1651 160325.0025.ec.fits: ap = 36, w1 = 6511.502, w2 = 6374.121, dw = -0.08326, nw = 1651 160325.0025.ec.fits: ap = 37, w1 = 6438.347, w2 = 6302.511, dw = -0.08232, nw = 1651 160325.0025.ec.fits: ap = 38, w1 = 6366.817, w2 = 6232.493, dw = -0.08141, nw = 1651 160325.0025.ec.fits: ap = 39, w1 = 6296.86, w2 = 6164.014, dw = -0.08051, nw = 1651 160325.0025.ec.fits: ap = 40, w1 = 6228.424, w2 = 6097.024, dw = -0.07964, nw = 1651 160325.0025.ec.fits: ap = 41, w1 = 6161.459, w2 = 6031.474, dw = -0.07878, nw = 1651 160325.0025.ec.fits: ap = 42, w1 = 6095.919, w2 = 5967.319, dw = -0.07794, nw = 1651 160325.0025.ec.fits: ap = 43, w1 = 6031.759, w2 = 5904.515, dw = -0.07712, nw = 1651 160325.0025.ec.fits: ap = 44, w1 = 5968.936, w2 = 5843.019, dw = -0.07631, nw = 1651 160325.0025.ec.fits: ap = 45, w1 = 5907.408, w2 = 5782.791, dw = -0.07553, nw = 1651 160325.0025.ec.fits: ap = 46, w1 = 5847.136, w2 = 5723.793, dw = -0.07475, nw = 1651 160325.0025.ec.fits: ap = 47, w1 = 5788.082, w2 = 5665.986, dw = -0.074, nw = 1651 160325.0025.ec.fits: ap = 48, w1 = 5730.209, w2 = 5609.336, dw = -0.07326, nw = 1651 160325.0025.ec.fits: ap = 49, w1 = 5673.482, w2 = 5553.807, dw = -0.07253, nw = 1651 160325.0025.ec.fits: ap = 50, w1 = 5617.868, w2 = 5499.368, dw = -0.07182, nw = 1651 160325.0025.ec.fits: ap = 51, w1 = 5563.333, w2 = 5445.985, dw = -0.07112, nw = 1651 160325.0025.ec.fits: ap = 52, w1 = 5509.847, w2 = 5393.63, dw = -0.07044, nw = 1651 160325.0025.ec.fits: ap = 53, w1 = 5457.381, w2 = 5342.271, dw = -0.06976, nw = 1651 160325.0025.ec.fits: ap = 54, w1 = 5405.904, w2 = 5291.882, dw = -0.0691, nw = 1651 160325.0025.ec.fits: ap = 55, w1 = 5355.39, w2 = 5242.435, dw = -0.06846, nw = 1651 160325.0025.ec.fits: ap = 56, w1 = 5305.811, w2 = 5193.903, dw = -0.06782, nw = 1651 160325.0025.ec.fits: ap = 57, w1 = 5257.142, w2 = 5146.262, dw = -0.0672, nw = 1651 160325.0025.ec.fits: ap = 58, w1 = 5209.358, w2 = 5099.488, dw = -0.06659, nw = 1651 160325.0025.ec.fits: ap = 59, w1 = 5162.435, w2 = 5053.556, dw = -0.06599, nw = 1651 160325.0025.ec.fits: ap = 60, w1 = 5116.351, w2 = 5008.444, dw = -0.0654, nw = 1651 160325.0025.ec.fits: ap = 61, w1 = 5071.082, w2 = 4964.131, dw = -0.06482, nw = 1651 160325.0025.ec.fits: ap = 62, w1 = 5026.607, w2 = 4920.596, dw = -0.06425, nw = 1651 160325.0025.ec.fits: ap = 63, w1 = 4982.906, w2 = 4877.818, dw = -0.06369, nw = 1651 160325.0025.ec.fits: ap = 64, w1 = 4939.958, w2 = 4835.777, dw = -0.06314, nw = 1651 160325.0025.ec.fits: ap = 65, w1 = 4897.745, w2 = 4794.455, dw = -0.0626, nw = 1651 160325.0025.ec.fits: ap = 66, w1 = 4856.247, w2 = 4753.834, dw = -0.06207, nw = 1651 160325.0025.ec.fits: ap = 67, w1 = 4815.447, w2 = 4713.895, dw = -0.06155, nw = 1651 160325.0025.ec.fits: ap = 68, w1 = 4775.327, w2 = 4674.622, dw = -0.06103, nw = 1651 160325.0025.ec.fits: ap = 69, w1 = 4735.87, w2 = 4635.999, dw = -0.06053, nw = 1651 160325.0025.ec.fits: ap = 70, w1 = 4697.061, w2 = 4598.008, dw = -0.06003, nw = 1651 160325.0025.ec.fits: ap = 71, w1 = 4658.882, w2 = 4560.636, dw = -0.05954, nw = 1651 160325.0025.ec.fits: ap = 72, w1 = 4621.319, w2 = 4523.866, dw = -0.05906, nw = 1651 160325.0025.ec.fits: ap = 73, w1 = 4584.357, w2 = 4487.685, dw = -0.05859, nw = 1651 160325.0025.ec.fits: ap = 74, w1 = 4547.982, w2 = 4452.078, dw = -0.05812, nw = 1651 160325.0025.ec.fits: ap = 75, w1 = 4512.18, w2 = 4417.032, dw = -0.05767, nw = 1651 160325.0025.ec.fits: ap = 76, w1 = 4476.938, w2 = 4382.533, dw = -0.05721, nw = 1651 160325.0025.ec.fits: ap = 77, w1 = 4442.242, w2 = 4348.57, dw = -0.05677, nw = 1651 160325.0025.ec.fits: ap = 78, w1 = 4408.079, w2 = 4315.129, dw = -0.05633, nw = 1651 160325.0025.ec.fits: ap = 79, w1 = 4374.439, w2 = 4282.198, dw = -0.0559, nw = 1651 160325.0025.ec.fits: ap = 80, w1 = 4341.308, w2 = 4249.767, dw = -0.05548, nw = 1651 160325.0025.ec.fits: ap = 81, w1 = 4308.675, w2 = 4217.823, dw = -0.05506, nw = 1651 160325.0025.ec.fits: ap = 82, w1 = 4276.529, w2 = 4186.357, dw = -0.05465, nw = 1651 160325.0025.ec.fits: ap = 83, w1 = 4244.86, w2 = 4155.356, dw = -0.05424, nw = 1651 160325.0025.ec.fits: ap = 84, w1 = 4213.657, w2 = 4124.811, dw = -0.05385, nw = 1651 160325.0025.ec.fits: ap = 85, w1 = 4182.908, w2 = 4094.713, dw = -0.05345, nw = 1651 160325.0025.ec.fits: ap = 86, w1 = 4152.606, w2 = 4065.05, dw = -0.05306, nw = 1651 160325.0025.ec.fits: ap = 87, w1 = 4122.74, w2 = 4035.815, dw = -0.05268, nw = 1651 160325.0025.ec.fits: ap = 88, w1 = 4093.3, w2 = 4006.997, dw = -0.0523, nw = 1651 160325.0025.ec.fits: ap = 89, w1 = 4064.277, w2 = 3978.588, dw = -0.05193, nw = 1651 160325.0025.ec.fits: ap = 90, w1 = 4035.664, w2 = 3950.579, dw = -0.05157, nw = 1651 160325.0025.ec.fits: ap = 91, w1 = 4007.451, w2 = 3922.962, dw = -0.05121, nw = 1651 160325.0025.ec.fits: ap = 92, w1 = 3979.629, w2 = 3895.729, dw = -0.05085, nw = 1651 160325.0025.ec.fits: ap = 93, w1 = 3952.191, w2 = 3868.871, dw = -0.0505, nw = 1651 160325.0025.ec.fits: ap = 94, w1 = 3925.129, w2 = 3842.381, dw = -0.05015, nw = 1651 160325.0025.ec.fits: ap = 95, w1 = 3898.435, w2 = 3816.251, dw = -0.04981, nw = 1651 160325.0025.ec.fits: ap = 96, w1 = 3872.102, w2 = 3790.475, dw = -0.04947, nw = 1651 160325.0025.ec.fits: ap = 97, w1 = 3846.122, w2 = 3765.044, dw = -0.04914, nw = 1651 160325.0025.ec.fits: ap = 98, w1 = 3820.488, w2 = 3739.953, dw = -0.04881, nw = 1651 160325.0025.ec.fits: ap = 99, w1 = 3795.194, w2 = 3715.194, dw = -0.04848, nw = 1651 160325.0025.ec.fits: ap = 100, w1 = 3770.232, w2 = 3690.761, dw = -0.04816, nw = 1651 160325.0025.ec.fits: ap = 101, w1 = 3745.597, w2 = 3666.647, dw = -0.04785, nw = 1651 160325.0025.ec.fits: ap = 102, w1 = 3721.281, w2 = 3642.846, dw = -0.04754, nw = 1651 160325.0025.ec.fits: ap = 103, w1 = 3697.279, w2 = 3619.353, dw = -0.04723, nw = 1651 160325.0025.ec.fits: ap = 104, w1 = 3673.585, w2 = 3596.161, dw = -0.04692, nw = 1651 160325.0025.ec.fits: ap = 105, w1 = 3650.192, w2 = 3573.264, dw = -0.04662, nw = 1651 160325.0025.ec.fits: ap = 106, w1 = 3627.095, w2 = 3550.657, dw = -0.04633, nw = 1651 160325.0025.ec.fits: ap = 107, w1 = 3604.289, w2 = 3528.334, dw = -0.04603, nw = 1651 160325.0025.ec.fits: ap = 108, w1 = 3581.767, w2 = 3506.29, dw = -0.04574, nw = 1651 160325.0025.ec.fits: ap = 109, w1 = 3559.525, w2 = 3484.52, dw = -0.04546, nw = 1651 160325.0025.ec.fits: ap = 110, w1 = 3537.558, w2 = 3463.019, dw = -0.04517, nw = 1651 160325.0025.ec.fits: ap = 111, w1 = 3515.859, w2 = 3441.781, dw = -0.0449, nw = 1651 160325.0025.ec.fits: ap = 112, w1 = 3494.425, w2 = 3420.803, dw = -0.04462, nw = 1651 160325.0025.ec.fits: ap = 113, w1 = 3473.251, w2 = 3400.079, dw = -0.04435, nw = 1651 160325.0025.ec.fits: ap = 114, w1 = 3452.331, w2 = 3379.604, dw = -0.04408, nw = 1651 160325.0025.ec.fits: ap = 115, w1 = 3431.662, w2 = 3359.374, dw = -0.04381, nw = 1651 160325.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.85082239' 160325.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0030.ec 0.14917761' 160325.0027.ec.fits: ap = 1, w1 = 10811.02, w2 = 10582.86, dw = -0.13828, nw = 1651 160325.0027.ec.fits: ap = 2, w1 = 10610.83, w2 = 10386.9, dw = -0.13572, nw = 1651 160325.0027.ec.fits: ap = 3, w1 = 10417.93, w2 = 10198.06, dw = -0.13325, nw = 1651 160325.0027.ec.fits: ap = 4, w1 = 10231.91, w2 = 10015.97, dw = -0.13087, nw = 1651 160325.0027.ec.fits: ap = 5, w1 = 10052.42, w2 = 9840.27, dw = -0.12858, nw = 1651 160325.0027.ec.fits: ap = 6, w1 = 9879.123, w2 = 9670.627, dw = -0.12636, nw = 1651 160325.0027.ec.fits: ap = 7, w1 = 9711.697, w2 = 9506.734, dw = -0.12422, nw = 1651 160325.0027.ec.fits: ap = 8, w1 = 9549.851, w2 = 9348.304, dw = -0.12215, nw = 1651 160325.0027.ec.fits: ap = 9, w1 = 9393.311, w2 = 9195.068, dw = -0.12015, nw = 1651 160325.0027.ec.fits: ap = 10, w1 = 9241.82, w2 = 9046.776, dw = -0.11821, nw = 1651 160325.0027.ec.fits: ap = 11, w1 = 9095.139, w2 = 8903.191, dw = -0.11633, nw = 1651 160325.0027.ec.fits: ap = 12, w1 = 8953.041, w2 = 8764.092, dw = -0.11451, nw = 1651 160325.0027.ec.fits: ap = 13, w1 = 8815.314, w2 = 8629.274, dw = -0.11275, nw = 1651 160325.0027.ec.fits: ap = 14, w1 = 8681.761, w2 = 8498.54, dw = -0.11104, nw = 1651 160325.0027.ec.fits: ap = 15, w1 = 8552.195, w2 = 8371.709, dw = -0.10939, nw = 1651 160325.0027.ec.fits: ap = 16, w1 = 8426.439, w2 = 8248.609, dw = -0.10778, nw = 1651 160325.0027.ec.fits: ap = 17, w1 = 8304.327, w2 = 8129.076, dw = -0.10621, nw = 1651 160325.0027.ec.fits: ap = 18, w1 = 8185.705, w2 = 8012.958, dw = -0.10469, nw = 1651 160325.0027.ec.fits: ap = 19, w1 = 8070.424, w2 = 7900.112, dw = -0.10322, nw = 1651 160325.0027.ec.fits: ap = 20, w1 = 7958.345, w2 = 7790.4, dw = -0.10179, nw = 1651 160325.0027.ec.fits: ap = 21, w1 = 7849.337, w2 = 7683.693, dw = -0.10039, nw = 1651 160325.0027.ec.fits: ap = 22, w1 = 7743.275, w2 = 7579.872, dw = -0.09903, nw = 1651 160325.0027.ec.fits: ap = 23, w1 = 7640.041, w2 = 7478.818, dw = -0.09771, nw = 1651 160325.0027.ec.fits: ap = 24, w1 = 7539.524, w2 = 7380.424, dw = -0.09642, nw = 1651 160325.0027.ec.fits: ap = 25, w1 = 7441.617, w2 = 7284.585, dw = -0.09517, nw = 1651 160325.0027.ec.fits: ap = 26, w1 = 7346.221, w2 = 7191.204, dw = -0.09395, nw = 1651 160325.0027.ec.fits: ap = 27, w1 = 7253.24, w2 = 7100.187, dw = -0.09276, nw = 1651 160325.0027.ec.fits: ap = 28, w1 = 7162.583, w2 = 7011.445, dw = -0.0916, nw = 1651 160325.0027.ec.fits: ap = 29, w1 = 7074.164, w2 = 6924.894, dw = -0.09047, nw = 1651 160325.0027.ec.fits: ap = 30, w1 = 6987.903, w2 = 6840.455, dw = -0.08936, nw = 1651 160325.0027.ec.fits: ap = 31, w1 = 6903.719, w2 = 6758.05, dw = -0.08828, nw = 1651 160325.0027.ec.fits: ap = 32, w1 = 6821.541, w2 = 6677.607, dw = -0.08723, nw = 1651 160325.0027.ec.fits: ap = 33, w1 = 6741.295, w2 = 6599.057, dw = -0.0862, nw = 1651 160325.0027.ec.fits: ap = 34, w1 = 6662.916, w2 = 6522.334, dw = -0.0852, nw = 1651 160325.0027.ec.fits: ap = 35, w1 = 6586.339, w2 = 6447.375, dw = -0.08422, nw = 1651 160325.0027.ec.fits: ap = 36, w1 = 6511.502, w2 = 6374.119, dw = -0.08326, nw = 1651 160325.0027.ec.fits: ap = 37, w1 = 6438.347, w2 = 6302.509, dw = -0.08233, nw = 1651 160325.0027.ec.fits: ap = 38, w1 = 6366.818, w2 = 6232.491, dw = -0.08141, nw = 1651 160325.0027.ec.fits: ap = 39, w1 = 6296.861, w2 = 6164.012, dw = -0.08051, nw = 1651 160325.0027.ec.fits: ap = 40, w1 = 6228.424, w2 = 6097.022, dw = -0.07964, nw = 1651 160325.0027.ec.fits: ap = 41, w1 = 6161.46, w2 = 6031.472, dw = -0.07878, nw = 1651 160325.0027.ec.fits: ap = 42, w1 = 6095.92, w2 = 5967.317, dw = -0.07794, nw = 1651 160325.0027.ec.fits: ap = 43, w1 = 6031.76, w2 = 5904.513, dw = -0.07712, nw = 1651 160325.0027.ec.fits: ap = 44, w1 = 5968.937, w2 = 5843.017, dw = -0.07632, nw = 1651 160325.0027.ec.fits: ap = 45, w1 = 5907.409, w2 = 5782.789, dw = -0.07553, nw = 1651 160325.0027.ec.fits: ap = 46, w1 = 5847.138, w2 = 5723.791, dw = -0.07476, nw = 1651 160325.0027.ec.fits: ap = 47, w1 = 5788.083, w2 = 5665.984, dw = -0.074, nw = 1651 160325.0027.ec.fits: ap = 48, w1 = 5730.21, w2 = 5609.334, dw = -0.07326, nw = 1651 160325.0027.ec.fits: ap = 49, w1 = 5673.483, w2 = 5553.806, dw = -0.07253, nw = 1651 160325.0027.ec.fits: ap = 50, w1 = 5617.869, w2 = 5499.366, dw = -0.07182, nw = 1651 160325.0027.ec.fits: ap = 51, w1 = 5563.334, w2 = 5445.984, dw = -0.07112, nw = 1651 160325.0027.ec.fits: ap = 52, w1 = 5509.848, w2 = 5393.628, dw = -0.07044, nw = 1651 160325.0027.ec.fits: ap = 53, w1 = 5457.382, w2 = 5342.27, dw = -0.06976, nw = 1651 160325.0027.ec.fits: ap = 54, w1 = 5405.905, w2 = 5291.881, dw = -0.06911, nw = 1651 160325.0027.ec.fits: ap = 55, w1 = 5355.39, w2 = 5242.433, dw = -0.06846, nw = 1651 160325.0027.ec.fits: ap = 56, w1 = 5305.811, w2 = 5193.902, dw = -0.06782, nw = 1651 160325.0027.ec.fits: ap = 57, w1 = 5257.142, w2 = 5146.261, dw = -0.0672, nw = 1651 160325.0027.ec.fits: ap = 58, w1 = 5209.358, w2 = 5099.486, dw = -0.06659, nw = 1651 160325.0027.ec.fits: ap = 59, w1 = 5162.435, w2 = 5053.554, dw = -0.06599, nw = 1651 160325.0027.ec.fits: ap = 60, w1 = 5116.35, w2 = 5008.443, dw = -0.0654, nw = 1651 160325.0027.ec.fits: ap = 61, w1 = 5071.081, w2 = 4964.13, dw = -0.06482, nw = 1651 160325.0027.ec.fits: ap = 62, w1 = 5026.606, w2 = 4920.595, dw = -0.06425, nw = 1651 160325.0027.ec.fits: ap = 63, w1 = 4982.905, w2 = 4877.816, dw = -0.06369, nw = 1651 160325.0027.ec.fits: ap = 64, w1 = 4939.957, w2 = 4835.776, dw = -0.06314, nw = 1651 160325.0027.ec.fits: ap = 65, w1 = 4897.743, w2 = 4794.454, dw = -0.0626, nw = 1651 160325.0027.ec.fits: ap = 66, w1 = 4856.246, w2 = 4753.833, dw = -0.06207, nw = 1651 160325.0027.ec.fits: ap = 67, w1 = 4815.445, w2 = 4713.894, dw = -0.06155, nw = 1651 160325.0027.ec.fits: ap = 68, w1 = 4775.325, w2 = 4674.621, dw = -0.06103, nw = 1651 160325.0027.ec.fits: ap = 69, w1 = 4735.868, w2 = 4635.998, dw = -0.06053, nw = 1651 160325.0027.ec.fits: ap = 70, w1 = 4697.058, w2 = 4598.007, dw = -0.06003, nw = 1651 160325.0027.ec.fits: ap = 71, w1 = 4658.879, w2 = 4560.635, dw = -0.05954, nw = 1651 160325.0027.ec.fits: ap = 72, w1 = 4621.316, w2 = 4523.865, dw = -0.05906, nw = 1651 160325.0027.ec.fits: ap = 73, w1 = 4584.355, w2 = 4487.684, dw = -0.05859, nw = 1651 160325.0027.ec.fits: ap = 74, w1 = 4547.98, w2 = 4452.077, dw = -0.05812, nw = 1651 160325.0027.ec.fits: ap = 75, w1 = 4512.178, w2 = 4417.031, dw = -0.05766, nw = 1651 160325.0027.ec.fits: ap = 76, w1 = 4476.935, w2 = 4382.532, dw = -0.05721, nw = 1651 160325.0027.ec.fits: ap = 77, w1 = 4442.239, w2 = 4348.569, dw = -0.05677, nw = 1651 160325.0027.ec.fits: ap = 78, w1 = 4408.077, w2 = 4315.128, dw = -0.05633, nw = 1651 160325.0027.ec.fits: ap = 79, w1 = 4374.437, w2 = 4282.198, dw = -0.0559, nw = 1651 160325.0027.ec.fits: ap = 80, w1 = 4341.306, w2 = 4249.767, dw = -0.05548, nw = 1651 160325.0027.ec.fits: ap = 81, w1 = 4308.674, w2 = 4217.823, dw = -0.05506, nw = 1651 160325.0027.ec.fits: ap = 82, w1 = 4276.528, w2 = 4186.356, dw = -0.05465, nw = 1651 160325.0027.ec.fits: ap = 83, w1 = 4244.859, w2 = 4155.356, dw = -0.05424, nw = 1651 160325.0027.ec.fits: ap = 84, w1 = 4213.656, w2 = 4124.811, dw = -0.05385, nw = 1651 160325.0027.ec.fits: ap = 85, w1 = 4182.909, w2 = 4094.713, dw = -0.05345, nw = 1651 160325.0027.ec.fits: ap = 86, w1 = 4152.607, w2 = 4065.051, dw = -0.05306, nw = 1651 160325.0027.ec.fits: ap = 87, w1 = 4122.741, w2 = 4035.815, dw = -0.05268, nw = 1651 160325.0027.ec.fits: ap = 88, w1 = 4093.302, w2 = 4006.997, dw = -0.05231, nw = 1651 160325.0027.ec.fits: ap = 89, w1 = 4064.281, w2 = 3978.588, dw = -0.05193, nw = 1651 160325.0027.ec.fits: ap = 90, w1 = 4035.669, w2 = 3950.58, dw = -0.05157, nw = 1651 160325.0027.ec.fits: ap = 91, w1 = 4007.456, w2 = 3922.963, dw = -0.05121, nw = 1651 160325.0027.ec.fits: ap = 92, w1 = 3979.636, w2 = 3895.729, dw = -0.05085, nw = 1651 160325.0027.ec.fits: ap = 93, w1 = 3952.2, w2 = 3868.872, dw = -0.0505, nw = 1651 160325.0027.ec.fits: ap = 94, w1 = 3925.139, w2 = 3842.382, dw = -0.05016, nw = 1651 160325.0027.ec.fits: ap = 95, w1 = 3898.447, w2 = 3816.252, dw = -0.04981, nw = 1651 160325.0027.ec.fits: ap = 96, w1 = 3872.114, w2 = 3790.476, dw = -0.04948, nw = 1651 160325.0027.ec.fits: ap = 97, w1 = 3846.137, w2 = 3765.046, dw = -0.04915, nw = 1651 160325.0027.ec.fits: ap = 98, w1 = 3820.505, w2 = 3739.955, dw = -0.04882, nw = 1651 160325.0027.ec.fits: ap = 99, w1 = 3795.213, w2 = 3715.196, dw = -0.0485, nw = 1651 160325.0027.ec.fits: ap = 100, w1 = 3770.254, w2 = 3690.764, dw = -0.04818, nw = 1651 160325.0027.ec.fits: ap = 101, w1 = 3745.621, w2 = 3666.65, dw = -0.04786, nw = 1651 160325.0027.ec.fits: ap = 102, w1 = 3721.308, w2 = 3642.849, dw = -0.04755, nw = 1651 160325.0027.ec.fits: ap = 103, w1 = 3697.308, w2 = 3619.356, dw = -0.04724, nw = 1651 160325.0027.ec.fits: ap = 104, w1 = 3673.617, w2 = 3596.164, dw = -0.04694, nw = 1651 160325.0027.ec.fits: ap = 105, w1 = 3650.227, w2 = 3573.267, dw = -0.04664, nw = 1651 160325.0027.ec.fits: ap = 106, w1 = 3627.133, w2 = 3550.66, dw = -0.04635, nw = 1651 160325.0027.ec.fits: ap = 107, w1 = 3604.33, w2 = 3528.338, dw = -0.04606, nw = 1651 160325.0027.ec.fits: ap = 108, w1 = 3581.812, w2 = 3506.294, dw = -0.04577, nw = 1651 160325.0027.ec.fits: ap = 109, w1 = 3559.573, w2 = 3484.525, dw = -0.04548, nw = 1651 160325.0027.ec.fits: ap = 110, w1 = 3537.61, w2 = 3463.024, dw = -0.0452, nw = 1651 160325.0027.ec.fits: ap = 111, w1 = 3515.915, w2 = 3441.786, dw = -0.04493, nw = 1651 160325.0027.ec.fits: ap = 112, w1 = 3494.485, w2 = 3420.808, dw = -0.04465, nw = 1651 160325.0027.ec.fits: ap = 113, w1 = 3473.315, w2 = 3400.084, dw = -0.04438, nw = 1651 160325.0027.ec.fits: ap = 114, w1 = 3452.4, w2 = 3379.61, dw = -0.04412, nw = 1651 160325.0027.ec.fits: ap = 115, w1 = 3431.736, w2 = 3359.381, dw = -0.04385, nw = 1651 160325.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.52909881' 160325.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0030.ec 0.47090119' 160325.0028.ec.fits: ap = 1, w1 = 10811.04, w2 = 10582.85, dw = -0.1383, nw = 1651 160325.0028.ec.fits: ap = 2, w1 = 10610.85, w2 = 10386.89, dw = -0.13574, nw = 1651 160325.0028.ec.fits: ap = 3, w1 = 10417.95, w2 = 10198.06, dw = -0.13327, nw = 1651 160325.0028.ec.fits: ap = 4, w1 = 10231.93, w2 = 10015.97, dw = -0.13089, nw = 1651 160325.0028.ec.fits: ap = 5, w1 = 10052.44, w2 = 9840.266, dw = -0.12859, nw = 1651 160325.0028.ec.fits: ap = 6, w1 = 9879.133, w2 = 9670.623, dw = -0.12637, nw = 1651 160325.0028.ec.fits: ap = 7, w1 = 9711.705, w2 = 9506.731, dw = -0.12423, nw = 1651 160325.0028.ec.fits: ap = 8, w1 = 9549.857, w2 = 9348.301, dw = -0.12216, nw = 1651 160325.0028.ec.fits: ap = 9, w1 = 9393.316, w2 = 9195.066, dw = -0.12015, nw = 1651 160325.0028.ec.fits: ap = 10, w1 = 9241.824, w2 = 9046.773, dw = -0.11821, nw = 1651 160325.0028.ec.fits: ap = 11, w1 = 9095.141, w2 = 8903.188, dw = -0.11634, nw = 1651 160325.0028.ec.fits: ap = 12, w1 = 8953.042, w2 = 8764.09, dw = -0.11452, nw = 1651 160325.0028.ec.fits: ap = 13, w1 = 8815.315, w2 = 8629.271, dw = -0.11275, nw = 1651 160325.0028.ec.fits: ap = 14, w1 = 8681.761, w2 = 8498.538, dw = -0.11104, nw = 1651 160325.0028.ec.fits: ap = 15, w1 = 8552.194, w2 = 8371.707, dw = -0.10939, nw = 1651 160325.0028.ec.fits: ap = 16, w1 = 8426.438, w2 = 8248.606, dw = -0.10778, nw = 1651 160325.0028.ec.fits: ap = 17, w1 = 8304.327, w2 = 8129.074, dw = -0.10621, nw = 1651 160325.0028.ec.fits: ap = 18, w1 = 8185.704, w2 = 8012.956, dw = -0.1047, nw = 1651 160325.0028.ec.fits: ap = 19, w1 = 8070.423, w2 = 7900.109, dw = -0.10322, nw = 1651 160325.0028.ec.fits: ap = 20, w1 = 7958.344, w2 = 7790.397, dw = -0.10179, nw = 1651 160325.0028.ec.fits: ap = 21, w1 = 7849.335, w2 = 7683.691, dw = -0.10039, nw = 1651 160325.0028.ec.fits: ap = 22, w1 = 7743.273, w2 = 7579.869, dw = -0.09903, nw = 1651 160325.0028.ec.fits: ap = 23, w1 = 7640.039, w2 = 7478.815, dw = -0.09771, nw = 1651 160325.0028.ec.fits: ap = 24, w1 = 7539.522, w2 = 7380.421, dw = -0.09642, nw = 1651 160325.0028.ec.fits: ap = 25, w1 = 7441.615, w2 = 7284.582, dw = -0.09517, nw = 1651 160325.0028.ec.fits: ap = 26, w1 = 7346.219, w2 = 7191.201, dw = -0.09395, nw = 1651 160325.0028.ec.fits: ap = 27, w1 = 7253.238, w2 = 7100.183, dw = -0.09276, nw = 1651 160325.0028.ec.fits: ap = 28, w1 = 7162.581, w2 = 7011.442, dw = -0.0916, nw = 1651 160325.0028.ec.fits: ap = 29, w1 = 7074.163, w2 = 6924.891, dw = -0.09047, nw = 1651 160325.0028.ec.fits: ap = 30, w1 = 6987.901, w2 = 6840.451, dw = -0.08936, nw = 1651 160325.0028.ec.fits: ap = 31, w1 = 6903.718, w2 = 6758.046, dw = -0.08829, nw = 1651 160325.0028.ec.fits: ap = 32, w1 = 6821.54, w2 = 6677.603, dw = -0.08723, nw = 1651 160325.0028.ec.fits: ap = 33, w1 = 6741.294, w2 = 6599.053, dw = -0.08621, nw = 1651 160325.0028.ec.fits: ap = 34, w1 = 6662.915, w2 = 6522.33, dw = -0.0852, nw = 1651 160325.0028.ec.fits: ap = 35, w1 = 6586.338, w2 = 6447.371, dw = -0.08422, nw = 1651 160325.0028.ec.fits: ap = 36, w1 = 6511.502, w2 = 6374.115, dw = -0.08326, nw = 1651 160325.0028.ec.fits: ap = 37, w1 = 6438.347, w2 = 6302.506, dw = -0.08233, nw = 1651 160325.0028.ec.fits: ap = 38, w1 = 6366.817, w2 = 6232.487, dw = -0.08141, nw = 1651 160325.0028.ec.fits: ap = 39, w1 = 6296.86, w2 = 6164.008, dw = -0.08052, nw = 1651 160325.0028.ec.fits: ap = 40, w1 = 6228.424, w2 = 6097.018, dw = -0.07964, nw = 1651 160325.0028.ec.fits: ap = 41, w1 = 6161.459, w2 = 6031.468, dw = -0.07878, nw = 1651 160325.0028.ec.fits: ap = 42, w1 = 6095.92, w2 = 5967.313, dw = -0.07794, nw = 1651 160325.0028.ec.fits: ap = 43, w1 = 6031.76, w2 = 5904.509, dw = -0.07712, nw = 1651 160325.0028.ec.fits: ap = 44, w1 = 5968.937, w2 = 5843.014, dw = -0.07632, nw = 1651 160325.0028.ec.fits: ap = 45, w1 = 5907.409, w2 = 5782.786, dw = -0.07553, nw = 1651 160325.0028.ec.fits: ap = 46, w1 = 5847.137, w2 = 5723.788, dw = -0.07476, nw = 1651 160325.0028.ec.fits: ap = 47, w1 = 5788.083, w2 = 5665.981, dw = -0.074, nw = 1651 160325.0028.ec.fits: ap = 48, w1 = 5730.209, w2 = 5609.331, dw = -0.07326, nw = 1651 160325.0028.ec.fits: ap = 49, w1 = 5673.482, w2 = 5553.803, dw = -0.07253, nw = 1651 160325.0028.ec.fits: ap = 50, w1 = 5617.868, w2 = 5499.363, dw = -0.07182, nw = 1651 160325.0028.ec.fits: ap = 51, w1 = 5563.333, w2 = 5445.981, dw = -0.07112, nw = 1651 160325.0028.ec.fits: ap = 52, w1 = 5509.847, w2 = 5393.625, dw = -0.07044, nw = 1651 160325.0028.ec.fits: ap = 53, w1 = 5457.38, w2 = 5342.267, dw = -0.06977, nw = 1651 160325.0028.ec.fits: ap = 54, w1 = 5405.903, w2 = 5291.878, dw = -0.06911, nw = 1651 160325.0028.ec.fits: ap = 55, w1 = 5355.388, w2 = 5242.431, dw = -0.06846, nw = 1651 160325.0028.ec.fits: ap = 56, w1 = 5305.809, w2 = 5193.899, dw = -0.06782, nw = 1651 160325.0028.ec.fits: ap = 57, w1 = 5257.14, w2 = 5146.259, dw = -0.0672, nw = 1651 160325.0028.ec.fits: ap = 58, w1 = 5209.356, w2 = 5099.484, dw = -0.06659, nw = 1651 160325.0028.ec.fits: ap = 59, w1 = 5162.432, w2 = 5053.553, dw = -0.06599, nw = 1651 160325.0028.ec.fits: ap = 60, w1 = 5116.347, w2 = 5008.441, dw = -0.0654, nw = 1651 160325.0028.ec.fits: ap = 61, w1 = 5071.078, w2 = 4964.128, dw = -0.06482, nw = 1651 160325.0028.ec.fits: ap = 62, w1 = 5026.603, w2 = 4920.593, dw = -0.06425, nw = 1651 160325.0028.ec.fits: ap = 63, w1 = 4982.901, w2 = 4877.815, dw = -0.06369, nw = 1651 160325.0028.ec.fits: ap = 64, w1 = 4939.953, w2 = 4835.775, dw = -0.06314, nw = 1651 160325.0028.ec.fits: ap = 65, w1 = 4897.739, w2 = 4794.453, dw = -0.0626, nw = 1651 160325.0028.ec.fits: ap = 66, w1 = 4856.241, w2 = 4753.832, dw = -0.06207, nw = 1651 160325.0028.ec.fits: ap = 67, w1 = 4815.441, w2 = 4713.893, dw = -0.06154, nw = 1651 160325.0028.ec.fits: ap = 68, w1 = 4775.321, w2 = 4674.62, dw = -0.06103, nw = 1651 160325.0028.ec.fits: ap = 69, w1 = 4735.864, w2 = 4635.997, dw = -0.06053, nw = 1651 160325.0028.ec.fits: ap = 70, w1 = 4697.054, w2 = 4598.006, dw = -0.06003, nw = 1651 160325.0028.ec.fits: ap = 71, w1 = 4658.875, w2 = 4560.634, dw = -0.05954, nw = 1651 160325.0028.ec.fits: ap = 72, w1 = 4621.312, w2 = 4523.864, dw = -0.05906, nw = 1651 160325.0028.ec.fits: ap = 73, w1 = 4584.35, w2 = 4487.683, dw = -0.05859, nw = 1651 160325.0028.ec.fits: ap = 74, w1 = 4547.975, w2 = 4452.076, dw = -0.05812, nw = 1651 160325.0028.ec.fits: ap = 75, w1 = 4512.173, w2 = 4417.03, dw = -0.05766, nw = 1651 160325.0028.ec.fits: ap = 76, w1 = 4476.931, w2 = 4382.532, dw = -0.05721, nw = 1651 160325.0028.ec.fits: ap = 77, w1 = 4442.235, w2 = 4348.568, dw = -0.05677, nw = 1651 160325.0028.ec.fits: ap = 78, w1 = 4408.073, w2 = 4315.127, dw = -0.05633, nw = 1651 160325.0028.ec.fits: ap = 79, w1 = 4374.432, w2 = 4282.197, dw = -0.0559, nw = 1651 160325.0028.ec.fits: ap = 80, w1 = 4341.302, w2 = 4249.765, dw = -0.05548, nw = 1651 160325.0028.ec.fits: ap = 81, w1 = 4308.67, w2 = 4217.821, dw = -0.05506, nw = 1651 160325.0028.ec.fits: ap = 82, w1 = 4276.525, w2 = 4186.355, dw = -0.05465, nw = 1651 160325.0028.ec.fits: ap = 83, w1 = 4244.857, w2 = 4155.354, dw = -0.05424, nw = 1651 160325.0028.ec.fits: ap = 84, w1 = 4213.654, w2 = 4124.809, dw = -0.05385, nw = 1651 160325.0028.ec.fits: ap = 85, w1 = 4182.907, w2 = 4094.71, dw = -0.05345, nw = 1651 160325.0028.ec.fits: ap = 86, w1 = 4152.606, w2 = 4065.048, dw = -0.05307, nw = 1651 160325.0028.ec.fits: ap = 87, w1 = 4122.741, w2 = 4035.812, dw = -0.05268, nw = 1651 160325.0028.ec.fits: ap = 88, w1 = 4093.303, w2 = 4006.994, dw = -0.05231, nw = 1651 160325.0028.ec.fits: ap = 89, w1 = 4064.283, w2 = 3978.584, dw = -0.05194, nw = 1651 160325.0028.ec.fits: ap = 90, w1 = 4035.671, w2 = 3950.575, dw = -0.05157, nw = 1651 160325.0028.ec.fits: ap = 91, w1 = 4007.46, w2 = 3922.958, dw = -0.05121, nw = 1651 160325.0028.ec.fits: ap = 92, w1 = 3979.641, w2 = 3895.724, dw = -0.05086, nw = 1651 160325.0028.ec.fits: ap = 93, w1 = 3952.205, w2 = 3868.865, dw = -0.05051, nw = 1651 160325.0028.ec.fits: ap = 94, w1 = 3925.146, w2 = 3842.375, dw = -0.05016, nw = 1651 160325.0028.ec.fits: ap = 95, w1 = 3898.455, w2 = 3816.245, dw = -0.04982, nw = 1651 160325.0028.ec.fits: ap = 96, w1 = 3872.124, w2 = 3790.467, dw = -0.04949, nw = 1651 160325.0028.ec.fits: ap = 97, w1 = 3846.148, w2 = 3765.037, dw = -0.04916, nw = 1651 160325.0028.ec.fits: ap = 98, w1 = 3820.518, w2 = 3739.945, dw = -0.04883, nw = 1651 160325.0028.ec.fits: ap = 99, w1 = 3795.228, w2 = 3715.185, dw = -0.04851, nw = 1651 160325.0028.ec.fits: ap = 100, w1 = 3770.271, w2 = 3690.752, dw = -0.04819, nw = 1651 160325.0028.ec.fits: ap = 101, w1 = 3745.639, w2 = 3666.637, dw = -0.04788, nw = 1651 160325.0028.ec.fits: ap = 102, w1 = 3721.328, w2 = 3642.835, dw = -0.04757, nw = 1651 160325.0028.ec.fits: ap = 103, w1 = 3697.331, w2 = 3619.341, dw = -0.04727, nw = 1651 160325.0028.ec.fits: ap = 104, w1 = 3673.642, w2 = 3596.147, dw = -0.04697, nw = 1651 160325.0028.ec.fits: ap = 105, w1 = 3650.255, w2 = 3573.249, dw = -0.04667, nw = 1651 160325.0028.ec.fits: ap = 106, w1 = 3627.164, w2 = 3550.641, dw = -0.04638, nw = 1651 160325.0028.ec.fits: ap = 107, w1 = 3604.363, w2 = 3528.317, dw = -0.04609, nw = 1651 160325.0028.ec.fits: ap = 108, w1 = 3581.848, w2 = 3506.272, dw = -0.0458, nw = 1651 160325.0028.ec.fits: ap = 109, w1 = 3559.613, w2 = 3484.501, dw = -0.04552, nw = 1651 160325.0028.ec.fits: ap = 110, w1 = 3537.652, w2 = 3462.998, dw = -0.04524, nw = 1651 160325.0028.ec.fits: ap = 111, w1 = 3515.961, w2 = 3441.76, dw = -0.04497, nw = 1651 160325.0028.ec.fits: ap = 112, w1 = 3494.535, w2 = 3420.78, dw = -0.0447, nw = 1651 160325.0028.ec.fits: ap = 113, w1 = 3473.368, w2 = 3400.054, dw = -0.04443, nw = 1651 160325.0028.ec.fits: ap = 114, w1 = 3452.457, w2 = 3379.578, dw = -0.04417, nw = 1651 160325.0028.ec.fits: ap = 115, w1 = 3431.796, w2 = 3359.347, dw = -0.04391, nw = 1651 160325.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.10614242' 160325.0029.ec.fits: REFSPEC2 = 'EchelleThAr.0030.ec 0.8938576' 160325.0029.ec.fits: ap = 1, w1 = 10811.07, w2 = 10582.84, dw = -0.13832, nw = 1651 160325.0029.ec.fits: ap = 2, w1 = 10610.88, w2 = 10386.88, dw = -0.13576, nw = 1651 160325.0029.ec.fits: ap = 3, w1 = 10417.97, w2 = 10198.05, dw = -0.13328, nw = 1651 160325.0029.ec.fits: ap = 4, w1 = 10231.95, w2 = 10015.96, dw = -0.1309, nw = 1651 160325.0029.ec.fits: ap = 5, w1 = 10052.45, w2 = 9840.26, dw = -0.1286, nw = 1651 160325.0029.ec.fits: ap = 6, w1 = 9879.146, w2 = 9670.618, dw = -0.12638, nw = 1651 160325.0029.ec.fits: ap = 7, w1 = 9711.715, w2 = 9506.726, dw = -0.12424, nw = 1651 160325.0029.ec.fits: ap = 8, w1 = 9549.865, w2 = 9348.297, dw = -0.12216, nw = 1651 160325.0029.ec.fits: ap = 9, w1 = 9393.322, w2 = 9195.062, dw = -0.12016, nw = 1651 160325.0029.ec.fits: ap = 10, w1 = 9241.829, w2 = 9046.769, dw = -0.11822, nw = 1651 160325.0029.ec.fits: ap = 11, w1 = 9095.144, w2 = 8903.185, dw = -0.11634, nw = 1651 160325.0029.ec.fits: ap = 12, w1 = 8953.044, w2 = 8764.086, dw = -0.11452, nw = 1651 160325.0029.ec.fits: ap = 13, w1 = 8815.316, w2 = 8629.268, dw = -0.11276, nw = 1651 160325.0029.ec.fits: ap = 14, w1 = 8681.762, w2 = 8498.535, dw = -0.11105, nw = 1651 160325.0029.ec.fits: ap = 15, w1 = 8552.194, w2 = 8371.704, dw = -0.10939, nw = 1651 160325.0029.ec.fits: ap = 16, w1 = 8426.437, w2 = 8248.603, dw = -0.10778, nw = 1651 160325.0029.ec.fits: ap = 17, w1 = 8304.325, w2 = 8129.071, dw = -0.10621, nw = 1651 160325.0029.ec.fits: ap = 18, w1 = 8185.702, w2 = 8012.953, dw = -0.1047, nw = 1651 160325.0029.ec.fits: ap = 19, w1 = 8070.421, w2 = 7900.106, dw = -0.10322, nw = 1651 160325.0029.ec.fits: ap = 20, w1 = 7958.342, w2 = 7790.394, dw = -0.10179, nw = 1651 160325.0029.ec.fits: ap = 21, w1 = 7849.333, w2 = 7683.688, dw = -0.10039, nw = 1651 160325.0029.ec.fits: ap = 22, w1 = 7743.271, w2 = 7579.866, dw = -0.09903, nw = 1651 160325.0029.ec.fits: ap = 23, w1 = 7640.037, w2 = 7478.812, dw = -0.09771, nw = 1651 160325.0029.ec.fits: ap = 24, w1 = 7539.52, w2 = 7380.417, dw = -0.09643, nw = 1651 160325.0029.ec.fits: ap = 25, w1 = 7441.613, w2 = 7284.578, dw = -0.09517, nw = 1651 160325.0029.ec.fits: ap = 26, w1 = 7346.217, w2 = 7191.197, dw = -0.09395, nw = 1651 160325.0029.ec.fits: ap = 27, w1 = 7253.236, w2 = 7100.179, dw = -0.09276, nw = 1651 160325.0029.ec.fits: ap = 28, w1 = 7162.58, w2 = 7011.437, dw = -0.0916, nw = 1651 160325.0029.ec.fits: ap = 29, w1 = 7074.161, w2 = 6924.886, dw = -0.09047, nw = 1651 160325.0029.ec.fits: ap = 30, w1 = 6987.9, w2 = 6840.447, dw = -0.08937, nw = 1651 160325.0029.ec.fits: ap = 31, w1 = 6903.717, w2 = 6758.042, dw = -0.08829, nw = 1651 160325.0029.ec.fits: ap = 32, w1 = 6821.538, w2 = 6677.599, dw = -0.08724, nw = 1651 160325.0029.ec.fits: ap = 33, w1 = 6741.293, w2 = 6599.049, dw = -0.08621, nw = 1651 160325.0029.ec.fits: ap = 34, w1 = 6662.915, w2 = 6522.325, dw = -0.08521, nw = 1651 160325.0029.ec.fits: ap = 35, w1 = 6586.338, w2 = 6447.366, dw = -0.08423, nw = 1651 160325.0029.ec.fits: ap = 36, w1 = 6511.501, w2 = 6374.11, dw = -0.08327, nw = 1651 160325.0029.ec.fits: ap = 37, w1 = 6438.346, w2 = 6302.501, dw = -0.08233, nw = 1651 160325.0029.ec.fits: ap = 38, w1 = 6366.817, w2 = 6232.482, dw = -0.08141, nw = 1651 160325.0029.ec.fits: ap = 39, w1 = 6296.86, w2 = 6164.003, dw = -0.08052, nw = 1651 160325.0029.ec.fits: ap = 40, w1 = 6228.423, w2 = 6097.013, dw = -0.07964, nw = 1651 160325.0029.ec.fits: ap = 41, w1 = 6161.459, w2 = 6031.463, dw = -0.07879, nw = 1651 160325.0029.ec.fits: ap = 42, w1 = 6095.919, w2 = 5967.309, dw = -0.07795, nw = 1651 160325.0029.ec.fits: ap = 43, w1 = 6031.759, w2 = 5904.504, dw = -0.07712, nw = 1651 160325.0029.ec.fits: ap = 44, w1 = 5968.936, w2 = 5843.009, dw = -0.07632, nw = 1651 160325.0029.ec.fits: ap = 45, w1 = 5907.408, w2 = 5782.781, dw = -0.07553, nw = 1651 160325.0029.ec.fits: ap = 46, w1 = 5847.136, w2 = 5723.783, dw = -0.07476, nw = 1651 160325.0029.ec.fits: ap = 47, w1 = 5788.082, w2 = 5665.977, dw = -0.074, nw = 1651 160325.0029.ec.fits: ap = 48, w1 = 5730.208, w2 = 5609.327, dw = -0.07326, nw = 1651 160325.0029.ec.fits: ap = 49, w1 = 5673.481, w2 = 5553.798, dw = -0.07253, nw = 1651 160325.0029.ec.fits: ap = 50, w1 = 5617.866, w2 = 5499.359, dw = -0.07182, nw = 1651 160325.0029.ec.fits: ap = 51, w1 = 5563.331, w2 = 5445.977, dw = -0.07112, nw = 1651 160325.0029.ec.fits: ap = 52, w1 = 5509.845, w2 = 5393.622, dw = -0.07044, nw = 1651 160325.0029.ec.fits: ap = 53, w1 = 5457.378, w2 = 5342.264, dw = -0.06977, nw = 1651 160325.0029.ec.fits: ap = 54, w1 = 5405.901, w2 = 5291.875, dw = -0.06911, nw = 1651 160325.0029.ec.fits: ap = 55, w1 = 5355.386, w2 = 5242.428, dw = -0.06846, nw = 1651 160325.0029.ec.fits: ap = 56, w1 = 5305.806, w2 = 5193.896, dw = -0.06782, nw = 1651 160325.0029.ec.fits: ap = 57, w1 = 5257.137, w2 = 5146.256, dw = -0.0672, nw = 1651 160325.0029.ec.fits: ap = 58, w1 = 5209.352, w2 = 5099.481, dw = -0.06659, nw = 1651 160325.0029.ec.fits: ap = 59, w1 = 5162.429, w2 = 5053.55, dw = -0.06599, nw = 1651 160325.0029.ec.fits: ap = 60, w1 = 5116.343, w2 = 5008.439, dw = -0.0654, nw = 1651 160325.0029.ec.fits: ap = 61, w1 = 5071.073, w2 = 4964.126, dw = -0.06482, nw = 1651 160325.0029.ec.fits: ap = 62, w1 = 5026.598, w2 = 4920.591, dw = -0.06425, nw = 1651 160325.0029.ec.fits: ap = 63, w1 = 4982.896, w2 = 4877.813, dw = -0.06369, nw = 1651 160325.0029.ec.fits: ap = 64, w1 = 4939.948, w2 = 4835.773, dw = -0.06314, nw = 1651 160325.0029.ec.fits: ap = 65, w1 = 4897.734, w2 = 4794.451, dw = -0.0626, nw = 1651 160325.0029.ec.fits: ap = 66, w1 = 4856.236, w2 = 4753.83, dw = -0.06206, nw = 1651 160325.0029.ec.fits: ap = 67, w1 = 4815.435, w2 = 4713.892, dw = -0.06154, nw = 1651 160325.0029.ec.fits: ap = 68, w1 = 4775.315, w2 = 4674.619, dw = -0.06103, nw = 1651 160325.0029.ec.fits: ap = 69, w1 = 4735.858, w2 = 4635.996, dw = -0.06052, nw = 1651 160325.0029.ec.fits: ap = 70, w1 = 4697.047, w2 = 4598.005, dw = -0.06003, nw = 1651 160325.0029.ec.fits: ap = 71, w1 = 4658.869, w2 = 4560.633, dw = -0.05954, nw = 1651 160325.0029.ec.fits: ap = 72, w1 = 4621.306, w2 = 4523.863, dw = -0.05906, nw = 1651 160325.0029.ec.fits: ap = 73, w1 = 4584.344, w2 = 4487.682, dw = -0.05858, nw = 1651 160325.0029.ec.fits: ap = 74, w1 = 4547.969, w2 = 4452.075, dw = -0.05812, nw = 1651 160325.0029.ec.fits: ap = 75, w1 = 4512.167, w2 = 4417.029, dw = -0.05766, nw = 1651 160325.0029.ec.fits: ap = 76, w1 = 4476.925, w2 = 4382.53, dw = -0.05721, nw = 1651 160325.0029.ec.fits: ap = 77, w1 = 4442.229, w2 = 4348.567, dw = -0.05676, nw = 1651 160325.0029.ec.fits: ap = 78, w1 = 4408.067, w2 = 4315.126, dw = -0.05633, nw = 1651 160325.0029.ec.fits: ap = 79, w1 = 4374.427, w2 = 4282.195, dw = -0.0559, nw = 1651 160325.0029.ec.fits: ap = 80, w1 = 4341.297, w2 = 4249.763, dw = -0.05548, nw = 1651 160325.0029.ec.fits: ap = 81, w1 = 4308.666, w2 = 4217.819, dw = -0.05506, nw = 1651 160325.0029.ec.fits: ap = 82, w1 = 4276.521, w2 = 4186.352, dw = -0.05465, nw = 1651 160325.0029.ec.fits: ap = 83, w1 = 4244.853, w2 = 4155.351, dw = -0.05424, nw = 1651 160325.0029.ec.fits: ap = 84, w1 = 4213.651, w2 = 4124.806, dw = -0.05385, nw = 1651 160325.0029.ec.fits: ap = 85, w1 = 4182.905, w2 = 4094.707, dw = -0.05345, nw = 1651 160325.0029.ec.fits: ap = 86, w1 = 4152.605, w2 = 4065.044, dw = -0.05307, nw = 1651 160325.0029.ec.fits: ap = 87, w1 = 4122.741, w2 = 4035.808, dw = -0.05269, nw = 1651 160325.0029.ec.fits: ap = 88, w1 = 4093.304, w2 = 4006.989, dw = -0.05231, nw = 1651 160325.0029.ec.fits: ap = 89, w1 = 4064.284, w2 = 3978.579, dw = -0.05194, nw = 1651 160325.0029.ec.fits: ap = 90, w1 = 4035.674, w2 = 3950.569, dw = -0.05158, nw = 1651 160325.0029.ec.fits: ap = 91, w1 = 4007.464, w2 = 3922.951, dw = -0.05122, nw = 1651 160325.0029.ec.fits: ap = 92, w1 = 3979.646, w2 = 3895.716, dw = -0.05087, nw = 1651 160325.0029.ec.fits: ap = 93, w1 = 3952.212, w2 = 3868.857, dw = -0.05052, nw = 1651 160325.0029.ec.fits: ap = 94, w1 = 3925.155, w2 = 3842.366, dw = -0.05018, nw = 1651 160325.0029.ec.fits: ap = 95, w1 = 3898.466, w2 = 3816.235, dw = -0.04984, nw = 1651 160325.0029.ec.fits: ap = 96, w1 = 3872.137, w2 = 3790.457, dw = -0.0495, nw = 1651 160325.0029.ec.fits: ap = 97, w1 = 3846.163, w2 = 3765.025, dw = -0.04917, nw = 1651 160325.0029.ec.fits: ap = 98, w1 = 3820.535, w2 = 3739.931, dw = -0.04885, nw = 1651 160325.0029.ec.fits: ap = 99, w1 = 3795.247, w2 = 3715.171, dw = -0.04853, nw = 1651 160325.0029.ec.fits: ap = 100, w1 = 3770.292, w2 = 3690.735, dw = -0.04822, nw = 1651 160325.0029.ec.fits: ap = 101, w1 = 3745.664, w2 = 3666.619, dw = -0.04791, nw = 1651 160325.0029.ec.fits: ap = 102, w1 = 3721.355, w2 = 3642.816, dw = -0.0476, nw = 1651 160325.0029.ec.fits: ap = 103, w1 = 3697.361, w2 = 3619.32, dw = -0.0473, nw = 1651 160325.0029.ec.fits: ap = 104, w1 = 3673.675, w2 = 3596.126, dw = -0.047, nw = 1651 160325.0029.ec.fits: ap = 105, w1 = 3650.291, w2 = 3573.226, dw = -0.04671, nw = 1651 160325.0029.ec.fits: ap = 106, w1 = 3627.204, w2 = 3550.616, dw = -0.04642, nw = 1651 160325.0029.ec.fits: ap = 107, w1 = 3604.407, w2 = 3528.29, dw = -0.04613, nw = 1651 160325.0029.ec.fits: ap = 108, w1 = 3581.895, w2 = 3506.243, dw = -0.04585, nw = 1651 160325.0029.ec.fits: ap = 109, w1 = 3559.664, w2 = 3484.47, dw = -0.04557, nw = 1651 160325.0029.ec.fits: ap = 110, w1 = 3537.707, w2 = 3462.965, dw = -0.0453, nw = 1651 160325.0029.ec.fits: ap = 111, w1 = 3516.021, w2 = 3441.724, dw = -0.04503, nw = 1651 160325.0029.ec.fits: ap = 112, w1 = 3494.599, w2 = 3420.742, dw = -0.04476, nw = 1651 160325.0029.ec.fits: ap = 113, w1 = 3473.437, w2 = 3400.014, dw = -0.0445, nw = 1651 160325.0029.ec.fits: ap = 114, w1 = 3452.531, w2 = 3379.535, dw = -0.04424, nw = 1651 160325.0029.ec.fits: ap = 115, w1 = 3431.876, w2 = 3359.301, dw = -0.04398, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10810.95, w2 = 10582.83, dw = -0.13825, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10610.77, w2 = 10386.87, dw = -0.1357, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10417.87, w2 = 10198.03, dw = -0.13324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10231.87, w2 = 10015.94, dw = -0.13086, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10052.38, w2 = 9840.242, dw = -0.12857, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9879.088, w2 = 9670.599, dw = -0.12636, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9711.667, w2 = 9506.706, dw = -0.12422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9549.825, w2 = 9348.277, dw = -0.12215, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9393.288, w2 = 9195.041, dw = -0.12015, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9241.8, w2 = 9046.749, dw = -0.11821, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9095.121, w2 = 8903.164, dw = -0.11634, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.025, w2 = 8764.066, dw = -0.11452, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8815.3, w2 = 8629.248, dw = -0.11276, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8681.748, w2 = 8498.515, dw = -0.11105, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8552.183, w2 = 8371.684, dw = -0.10939, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8426.427, w2 = 8248.584, dw = -0.10778, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8304.316, w2 = 8129.052, dw = -0.10622, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8185.694, w2 = 8012.934, dw = -0.1047, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8070.413, w2 = 7900.088, dw = -0.10323, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7958.333, w2 = 7790.376, dw = -0.10179, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7849.324, w2 = 7683.67, dw = -0.1004, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7743.261, w2 = 7579.848, dw = -0.09904, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.027, w2 = 7478.795, dw = -0.09772, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7539.508, w2 = 7380.4, dw = -0.09643, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7441.601, w2 = 7284.562, dw = -0.09518, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.204, w2 = 7191.181, dw = -0.09395, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.221, w2 = 7100.164, dw = -0.09276, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7162.564, w2 = 7011.422, dw = -0.0916, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.144, w2 = 6924.872, dw = -0.09047, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6987.881, w2 = 6840.432, dw = -0.08936, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6903.697, w2 = 6758.028, dw = -0.08828, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6821.517, w2 = 6677.585, dw = -0.08723, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.271, w2 = 6599.035, dw = -0.0862, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6662.891, w2 = 6522.312, dw = -0.0852, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6586.313, w2 = 6447.353, dw = -0.08422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6511.476, w2 = 6374.097, dw = -0.08326, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.32, w2 = 6302.488, dw = -0.08232, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6366.79, w2 = 6232.47, dw = -0.08141, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6296.833, w2 = 6163.991, dw = -0.08051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6228.396, w2 = 6097.001, dw = -0.07963, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6161.431, w2 = 6031.451, dw = -0.07878, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6095.891, w2 = 5967.297, dw = -0.07794, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6031.731, w2 = 5904.493, dw = -0.07711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5968.908, w2 = 5842.997, dw = -0.07631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5907.38, w2 = 5782.77, dw = -0.07552, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.108, w2 = 5723.771, dw = -0.07475, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.054, w2 = 5665.965, dw = -0.07399, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.181, w2 = 5609.315, dw = -0.07325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5673.455, w2 = 5553.787, dw = -0.07253, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5617.84, w2 = 5499.348, dw = -0.07181, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.306, w2 = 5445.965, dw = -0.07112, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5509.821, w2 = 5393.61, dw = -0.07043, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.355, w2 = 5342.252, dw = -0.06976, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5405.878, w2 = 5291.863, dw = -0.0691, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.364, w2 = 5242.416, dw = -0.06845, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5305.786, w2 = 5193.885, dw = -0.06782, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.118, w2 = 5146.244, dw = -0.0672, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.334, w2 = 5099.47, dw = -0.06658, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.412, w2 = 5053.538, dw = -0.06598, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.328, w2 = 5008.427, dw = -0.06539, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.059, w2 = 4964.114, dw = -0.06482, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5026.585, w2 = 4920.579, dw = -0.06425, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4982.885, w2 = 4877.801, dw = -0.06369, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4939.938, w2 = 4835.761, dw = -0.06314, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4897.725, w2 = 4794.44, dw = -0.0626, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.228, w2 = 4753.819, dw = -0.06207, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.428, w2 = 4713.88, dw = -0.06154, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.309, w2 = 4674.608, dw = -0.06103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4735.853, w2 = 4635.985, dw = -0.06053, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.043, w2 = 4597.995, dw = -0.06003, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4658.865, w2 = 4560.623, dw = -0.05954, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.302, w2 = 4523.853, dw = -0.05906, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.341, w2 = 4487.673, dw = -0.05859, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4547.966, w2 = 4452.066, dw = -0.05812, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.164, w2 = 4417.02, dw = -0.05766, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4476.922, w2 = 4382.523, dw = -0.05721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.226, w2 = 4348.559, dw = -0.05677, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.064, w2 = 4315.119, dw = -0.05633, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.423, w2 = 4282.189, dw = -0.0559, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.292, w2 = 4249.758, dw = -0.05547, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4308.659, w2 = 4217.815, dw = -0.05506, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.513, w2 = 4186.349, dw = -0.05464, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4244.843, w2 = 4155.349, dw = -0.05424, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4213.639, w2 = 4124.805, dw = -0.05384, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4182.89, w2 = 4094.707, dw = -0.05344, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4152.587, w2 = 4065.046, dw = -0.05306, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4122.72, w2 = 4035.811, dw = -0.05267, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.279, w2 = 4006.994, dw = -0.05229, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.256, w2 = 3978.585, dw = -0.05192, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4035.641, w2 = 3950.577, dw = -0.05155, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.426, w2 = 3922.961, dw = -0.05119, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3979.603, w2 = 3895.728, dw = -0.05083, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.163, w2 = 3868.871, dw = -0.05048, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.099, w2 = 3842.382, dw = -0.05013, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.403, w2 = 3816.253, dw = -0.04979, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.067, w2 = 3790.477, dw = -0.04945, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.085, w2 = 3765.048, dw = -0.04911, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.448, w2 = 3739.957, dw = -0.04878, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.151, w2 = 3715.199, dw = -0.04846, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.186, w2 = 3690.767, dw = -0.04813, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3745.548, w2 = 3666.654, dw = -0.04781, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.228, w2 = 3642.854, dw = -0.0475, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.223, w2 = 3619.362, dw = -0.04719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.524, w2 = 3596.17, dw = -0.04688, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.127, w2 = 3573.274, dw = -0.04658, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.026, w2 = 3550.668, dw = -0.04628, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.214, w2 = 3528.346, dw = -0.04598, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3581.688, w2 = 3506.304, dw = -0.04569, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.44, w2 = 3484.535, dw = -0.0454, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.467, w2 = 3463.035, dw = -0.04511, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3515.763, w2 = 3441.798, dw = -0.04483, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.322, w2 = 3420.821, dw = -0.04455, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.141, w2 = 3400.098, dw = -0.04427, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.215, w2 = 3379.624, dw = -0.04399, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3431.538, w2 = 3359.396, dw = -0.04372, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10810.97, w2 = 10582.8, dw = -0.13829, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10610.8, w2 = 10386.84, dw = -0.13573, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10417.9, w2 = 10198.01, dw = -0.13326, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10231.89, w2 = 10015.92, dw = -0.13089, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10052.4, w2 = 9840.226, dw = -0.12859, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9879.103, w2 = 9670.587, dw = -0.12637, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9711.68, w2 = 9506.697, dw = -0.12423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9549.836, w2 = 9348.269, dw = -0.12216, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9393.298, w2 = 9195.036, dw = -0.12016, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9241.809, w2 = 9046.745, dw = -0.11822, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9095.128, w2 = 8903.162, dw = -0.11634, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8953.031, w2 = 8764.065, dw = -0.11452, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8815.305, w2 = 8629.248, dw = -0.11276, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8681.753, w2 = 8498.516, dw = -0.11105, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8552.187, w2 = 8371.686, dw = -0.10939, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8426.431, w2 = 8248.586, dw = -0.10778, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8304.319, w2 = 8129.054, dw = -0.10622, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8185.697, w2 = 8012.938, dw = -0.1047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8070.415, w2 = 7900.092, dw = -0.10323, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7958.336, w2 = 7790.38, dw = -0.10179, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7849.326, w2 = 7683.674, dw = -0.1004, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7743.263, w2 = 7579.852, dw = -0.09904, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.028, w2 = 7478.799, dw = -0.09772, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7539.51, w2 = 7380.404, dw = -0.09643, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7441.603, w2 = 7284.566, dw = -0.09517, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7346.205, w2 = 7191.184, dw = -0.09395, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7253.223, w2 = 7100.167, dw = -0.09276, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7162.565, w2 = 7011.425, dw = -0.0916, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.146, w2 = 6924.875, dw = -0.09047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6987.883, w2 = 6840.435, dw = -0.08936, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6903.699, w2 = 6758.03, dw = -0.08828, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6821.519, w2 = 6677.587, dw = -0.08723, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6741.273, w2 = 6599.037, dw = -0.0862, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6662.893, w2 = 6522.314, dw = -0.0852, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6586.315, w2 = 6447.354, dw = -0.08422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6511.478, w2 = 6374.098, dw = -0.08326, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6438.322, w2 = 6302.489, dw = -0.08232, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6366.792, w2 = 6232.471, dw = -0.08141, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6296.835, w2 = 6163.991, dw = -0.08051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6228.398, w2 = 6097.001, dw = -0.07963, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6161.433, w2 = 6031.451, dw = -0.07878, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6095.893, w2 = 5967.296, dw = -0.07794, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6031.733, w2 = 5904.492, dw = -0.07712, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5968.909, w2 = 5842.996, dw = -0.07631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5907.382, w2 = 5782.769, dw = -0.07552, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.11, w2 = 5723.77, dw = -0.07475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.055, w2 = 5665.964, dw = -0.07399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.182, w2 = 5609.314, dw = -0.07325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5673.455, w2 = 5553.785, dw = -0.07253, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5617.841, w2 = 5499.346, dw = -0.07182, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.307, w2 = 5445.964, dw = -0.07112, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5509.821, w2 = 5393.608, dw = -0.07043, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.355, w2 = 5342.25, dw = -0.06976, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5405.878, w2 = 5291.861, dw = -0.0691, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.364, w2 = 5242.414, dw = -0.06845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5305.785, w2 = 5193.882, dw = -0.06782, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.117, w2 = 5146.242, dw = -0.0672, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.333, w2 = 5099.467, dw = -0.06659, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5162.411, w2 = 5053.536, dw = -0.06598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.326, w2 = 5008.425, dw = -0.06539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.057, w2 = 4964.112, dw = -0.06482, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5026.583, w2 = 4920.577, dw = -0.06425, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4982.882, w2 = 4877.799, dw = -0.06369, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4939.935, w2 = 4835.758, dw = -0.06314, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4897.722, w2 = 4794.437, dw = -0.0626, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.225, w2 = 4753.816, dw = -0.06207, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.425, w2 = 4713.877, dw = -0.06154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.305, w2 = 4674.604, dw = -0.06103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4735.849, w2 = 4635.981, dw = -0.06053, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.039, w2 = 4597.991, dw = -0.06003, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4658.861, w2 = 4560.618, dw = -0.05954, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.298, w2 = 4523.849, dw = -0.05906, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.337, w2 = 4487.667, dw = -0.05859, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4547.962, w2 = 4452.06, dw = -0.05812, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.16, w2 = 4417.014, dw = -0.05766, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4476.918, w2 = 4382.516, dw = -0.05721, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.222, w2 = 4348.552, dw = -0.05677, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.06, w2 = 4315.111, dw = -0.05633, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.419, w2 = 4282.181, dw = -0.0559, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.289, w2 = 4249.749, dw = -0.05548, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4308.656, w2 = 4217.805, dw = -0.05506, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.51, w2 = 4186.338, dw = -0.05465, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4244.841, w2 = 4155.337, dw = -0.05424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4213.637, w2 = 4124.792, dw = -0.05385, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4182.889, w2 = 4094.693, dw = -0.05345, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4152.586, w2 = 4065.03, dw = -0.05306, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4122.719, w2 = 4035.794, dw = -0.05268, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.279, w2 = 4006.975, dw = -0.05231, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.257, w2 = 3978.565, dw = -0.05193, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4035.643, w2 = 3950.555, dw = -0.05157, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.429, w2 = 3922.937, dw = -0.05121, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3979.607, w2 = 3895.703, dw = -0.05085, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.168, w2 = 3868.844, dw = -0.0505, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.105, w2 = 3842.352, dw = -0.05015, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.41, w2 = 3816.221, dw = -0.04981, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.076, w2 = 3790.443, dw = -0.04947, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.095, w2 = 3765.011, dw = -0.04914, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.46, w2 = 3739.918, dw = -0.04881, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.165, w2 = 3715.158, dw = -0.04849, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.202, w2 = 3690.722, dw = -0.04817, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.565, w2 = 3666.606, dw = -0.04785, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.248, w2 = 3642.804, dw = -0.04754, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.244, w2 = 3619.308, dw = -0.04723, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.548, w2 = 3596.113, dw = -0.04693, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.153, w2 = 3573.213, dw = -0.04663, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.054, w2 = 3550.603, dw = -0.04633, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.245, w2 = 3528.277, dw = -0.04604, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3581.722, w2 = 3506.23, dw = -0.04575, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.477, w2 = 3484.457, dw = -0.04547, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.507, w2 = 3462.952, dw = -0.04518, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3515.806, w2 = 3441.711, dw = -0.04491, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.369, w2 = 3420.729, dw = -0.04463, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.191, w2 = 3400.001, dw = -0.04436, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.268, w2 = 3379.522, dw = -0.04409, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.596, w2 = 3359.288, dw = -0.04382, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10811.05, w2 = 10582.93, dw = -0.13826, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10610.86, w2 = 10386.96, dw = -0.1357, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10417.95, w2 = 10198.11, dw = -0.13324, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10231.93, w2 = 10016.01, dw = -0.13086, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10052.43, w2 = 9840.293, dw = -0.12857, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9879.129, w2 = 9670.641, dw = -0.12636, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9711.699, w2 = 9506.74, dw = -0.12422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9549.85, w2 = 9348.303, dw = -0.12215, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9393.307, w2 = 9195.061, dw = -0.12015, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9241.813, w2 = 9046.762, dw = -0.11821, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9095.129, w2 = 8903.172, dw = -0.11634, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8953.029, w2 = 8764.07, dw = -0.11452, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8815.301, w2 = 8629.248, dw = -0.11276, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8681.747, w2 = 8498.512, dw = -0.11105, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8552.179, w2 = 8371.679, dw = -0.10939, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8426.422, w2 = 8248.577, dw = -0.10778, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8304.31, w2 = 8129.043, dw = -0.10622, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8185.687, w2 = 8012.925, dw = -0.1047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8070.405, w2 = 7900.078, dw = -0.10323, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7958.326, w2 = 7790.366, dw = -0.10179, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7849.318, w2 = 7683.66, dw = -0.1004, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7743.255, w2 = 7579.838, dw = -0.09904, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.021, w2 = 7478.785, dw = -0.09772, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7539.503, w2 = 7380.391, dw = -0.09643, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7441.597, w2 = 7284.554, dw = -0.09518, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7346.201, w2 = 7191.174, dw = -0.09396, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7253.22, w2 = 7100.158, dw = -0.09276, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7162.563, w2 = 7011.417, dw = -0.0916, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.145, w2 = 6924.868, dw = -0.09047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6987.883, w2 = 6840.43, dw = -0.08937, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6903.7, w2 = 6758.027, dw = -0.08829, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6821.522, w2 = 6677.585, dw = -0.08723, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6741.277, w2 = 6599.037, dw = -0.08621, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6662.898, w2 = 6522.315, dw = -0.0852, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6586.321, w2 = 6447.358, dw = -0.08422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6511.485, w2 = 6374.104, dw = -0.08326, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6438.33, w2 = 6302.496, dw = -0.08232, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6366.801, w2 = 6232.479, dw = -0.08141, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6296.844, w2 = 6164.001, dw = -0.08051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6228.408, w2 = 6097.012, dw = -0.07963, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6161.444, w2 = 6031.464, dw = -0.07878, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6095.904, w2 = 5967.311, dw = -0.07794, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6031.745, w2 = 5904.508, dw = -0.07711, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5968.922, w2 = 5843.013, dw = -0.07631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5907.394, w2 = 5782.786, dw = -0.07552, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.123, w2 = 5723.789, dw = -0.07475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.069, w2 = 5665.983, dw = -0.07399, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.196, w2 = 5609.334, dw = -0.07325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5673.469, w2 = 5553.806, dw = -0.07252, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5617.854, w2 = 5499.368, dw = -0.07181, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.32, w2 = 5445.986, dw = -0.07111, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5509.834, w2 = 5393.631, dw = -0.07043, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5457.367, w2 = 5342.273, dw = -0.06975, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5405.89, w2 = 5291.884, dw = -0.06909, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5355.376, w2 = 5242.437, dw = -0.06845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5305.797, w2 = 5193.905, dw = -0.06781, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.127, w2 = 5146.265, dw = -0.06719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.343, w2 = 5099.49, dw = -0.06658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5162.42, w2 = 5053.558, dw = -0.06598, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.335, w2 = 5008.446, dw = -0.06539, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.065, w2 = 4964.133, dw = -0.06481, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5026.59, w2 = 4920.598, dw = -0.06424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4982.889, w2 = 4877.819, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4939.941, w2 = 4835.778, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4897.727, w2 = 4794.456, dw = -0.06259, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.229, w2 = 4753.834, dw = -0.06206, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.428, w2 = 4713.895, dw = -0.06154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.308, w2 = 4674.621, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4735.851, w2 = 4635.997, dw = -0.06052, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.041, w2 = 4598.006, dw = -0.06002, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4658.861, w2 = 4560.632, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.298, w2 = 4523.862, dw = -0.05905, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.336, w2 = 4487.68, dw = -0.05858, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4547.961, w2 = 4452.072, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.159, w2 = 4417.025, dw = -0.05766, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4476.916, w2 = 4382.526, dw = -0.05721, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.22, w2 = 4348.561, dw = -0.05676, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.058, w2 = 4315.119, dw = -0.05633, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.417, w2 = 4282.188, dw = -0.0559, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.287, w2 = 4249.756, dw = -0.05547, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4308.654, w2 = 4217.812, dw = -0.05506, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4276.509, w2 = 4186.344, dw = -0.05465, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4244.84, w2 = 4155.343, dw = -0.05424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4213.637, w2 = 4124.798, dw = -0.05384, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4182.89, w2 = 4094.698, dw = -0.05345, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4152.588, w2 = 4065.035, dw = -0.05306, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4122.723, w2 = 4035.799, dw = -0.05268, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.284, w2 = 4006.981, dw = -0.0523, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.263, w2 = 3978.572, dw = -0.05193, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4035.651, w2 = 3950.563, dw = -0.05157, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.44, w2 = 3922.945, dw = -0.05121, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3979.62, w2 = 3895.712, dw = -0.05085, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.184, w2 = 3868.854, dw = -0.0505, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.124, w2 = 3842.364, dw = -0.05016, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.433, w2 = 3816.235, dw = -0.04982, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.102, w2 = 3790.459, dw = -0.04948, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.125, w2 = 3765.029, dw = -0.04915, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.494, w2 = 3739.939, dw = -0.04882, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.203, w2 = 3715.181, dw = -0.0485, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.245, w2 = 3690.748, dw = -0.04818, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.614, w2 = 3666.636, dw = -0.04787, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.302, w2 = 3642.837, dw = -0.04755, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.305, w2 = 3619.345, dw = -0.04725, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.615, w2 = 3596.154, dw = -0.04695, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.227, w2 = 3573.259, dw = -0.04665, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.135, w2 = 3550.654, dw = -0.04635, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.334, w2 = 3528.334, dw = -0.04606, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3581.818, w2 = 3506.293, dw = -0.04577, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.582, w2 = 3484.526, dw = -0.04549, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.621, w2 = 3463.028, dw = -0.04521, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3515.929, w2 = 3441.793, dw = -0.04493, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.502, w2 = 3420.819, dw = -0.04466, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.335, w2 = 3400.098, dw = -0.04439, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.423, w2 = 3379.628, dw = -0.04412, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3431.762, w2 = 3359.403, dw = -0.04385, nw = 1651 EchelleThAr.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0022.ec 1.' zEchelleThAr.0022.ec.fits: ap = 1, w1 = 10810.94, w2 = 10582.84, dw = -0.13824, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 2, w1 = 10610.77, w2 = 10386.88, dw = -0.13569, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 3, w1 = 10417.88, w2 = 10198.05, dw = -0.13323, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 4, w1 = 10231.88, w2 = 10015.97, dw = -0.13086, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 5, w1 = 10052.4, w2 = 9840.266, dw = -0.12857, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 6, w1 = 9879.11, w2 = 9670.625, dw = -0.12635, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 7, w1 = 9711.692, w2 = 9506.734, dw = -0.12422, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 8, w1 = 9549.853, w2 = 9348.305, dw = -0.12215, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 9, w1 = 9393.319, w2 = 9195.071, dw = -0.12015, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 10, w1 = 9241.833, w2 = 9046.779, dw = -0.11821, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 11, w1 = 9095.156, w2 = 8903.195, dw = -0.11634, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 12, w1 = 8953.061, w2 = 8764.097, dw = -0.11452, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 13, w1 = 8815.337, w2 = 8629.279, dw = -0.11276, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 14, w1 = 8681.786, w2 = 8498.546, dw = -0.11105, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 15, w1 = 8552.221, w2 = 8371.716, dw = -0.1094, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 16, w1 = 8426.466, w2 = 8248.615, dw = -0.10779, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 17, w1 = 8304.355, w2 = 8129.083, dw = -0.10623, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 18, w1 = 8185.733, w2 = 8012.966, dw = -0.10471, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 19, w1 = 8070.451, w2 = 7900.119, dw = -0.10323, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 20, w1 = 7958.372, w2 = 7790.407, dw = -0.1018, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 21, w1 = 7849.362, w2 = 7683.701, dw = -0.1004, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 22, w1 = 7743.299, w2 = 7579.878, dw = -0.09904, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 23, w1 = 7640.063, w2 = 7478.824, dw = -0.09772, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 24, w1 = 7539.544, w2 = 7380.43, dw = -0.09643, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 25, w1 = 7441.636, w2 = 7284.591, dw = -0.09518, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 26, w1 = 7346.238, w2 = 7191.209, dw = -0.09396, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 27, w1 = 7253.255, w2 = 7100.192, dw = -0.09277, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 28, w1 = 7162.596, w2 = 7011.45, dw = -0.0916, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 29, w1 = 7074.176, w2 = 6924.899, dw = -0.09047, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 30, w1 = 6987.912, w2 = 6840.459, dw = -0.08937, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 31, w1 = 6903.727, w2 = 6758.054, dw = -0.08829, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 32, w1 = 6821.547, w2 = 6677.611, dw = -0.08723, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 33, w1 = 6741.3, w2 = 6599.06, dw = -0.08621, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 34, w1 = 6662.919, w2 = 6522.337, dw = -0.0852, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 35, w1 = 6586.34, w2 = 6447.377, dw = -0.08422, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 36, w1 = 6511.502, w2 = 6374.121, dw = -0.08326, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 37, w1 = 6438.345, w2 = 6302.512, dw = -0.08232, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 38, w1 = 6366.815, w2 = 6232.494, dw = -0.08141, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 39, w1 = 6296.856, w2 = 6164.014, dw = -0.08051, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 40, w1 = 6228.419, w2 = 6097.024, dw = -0.07963, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 41, w1 = 6161.454, w2 = 6031.474, dw = -0.07878, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 42, w1 = 6095.913, w2 = 5967.319, dw = -0.07794, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 43, w1 = 6031.753, w2 = 5904.515, dw = -0.07711, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 44, w1 = 5968.929, w2 = 5843.019, dw = -0.07631, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 45, w1 = 5907.401, w2 = 5782.791, dw = -0.07552, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 46, w1 = 5847.128, w2 = 5723.793, dw = -0.07475, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 47, w1 = 5788.074, w2 = 5665.987, dw = -0.07399, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 48, w1 = 5730.201, w2 = 5609.336, dw = -0.07325, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 49, w1 = 5673.474, w2 = 5553.808, dw = -0.07252, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 50, w1 = 5617.859, w2 = 5499.369, dw = -0.07181, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 51, w1 = 5563.325, w2 = 5445.986, dw = -0.07111, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 52, w1 = 5509.84, w2 = 5393.631, dw = -0.07043, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 53, w1 = 5457.373, w2 = 5342.273, dw = -0.06976, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 54, w1 = 5405.897, w2 = 5291.883, dw = -0.0691, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 55, w1 = 5355.383, w2 = 5242.436, dw = -0.06845, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 56, w1 = 5305.805, w2 = 5193.905, dw = -0.06782, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 57, w1 = 5257.136, w2 = 5146.264, dw = -0.0672, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 58, w1 = 5209.353, w2 = 5099.49, dw = -0.06658, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 59, w1 = 5162.431, w2 = 5053.558, dw = -0.06598, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 60, w1 = 5116.347, w2 = 5008.447, dw = -0.06539, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 61, w1 = 5071.078, w2 = 4964.134, dw = -0.06481, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 62, w1 = 5026.604, w2 = 4920.599, dw = -0.06425, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 63, w1 = 4982.904, w2 = 4877.821, dw = -0.06369, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 64, w1 = 4939.957, w2 = 4835.78, dw = -0.06314, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 65, w1 = 4897.744, w2 = 4794.458, dw = -0.0626, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 66, w1 = 4856.247, w2 = 4753.837, dw = -0.06207, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 67, w1 = 4815.448, w2 = 4713.898, dw = -0.06155, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 68, w1 = 4775.328, w2 = 4674.625, dw = -0.06103, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 69, w1 = 4735.872, w2 = 4636.002, dw = -0.06053, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 70, w1 = 4697.063, w2 = 4598.011, dw = -0.06003, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 71, w1 = 4658.884, w2 = 4560.638, dw = -0.05954, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 72, w1 = 4621.322, w2 = 4523.869, dw = -0.05906, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 73, w1 = 4584.36, w2 = 4487.687, dw = -0.05859, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 74, w1 = 4547.985, w2 = 4452.08, dw = -0.05812, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 75, w1 = 4512.183, w2 = 4417.033, dw = -0.05767, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 76, w1 = 4476.941, w2 = 4382.534, dw = -0.05722, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 77, w1 = 4442.244, w2 = 4348.57, dw = -0.05677, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 78, w1 = 4408.082, w2 = 4315.129, dw = -0.05634, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 79, w1 = 4374.44, w2 = 4282.198, dw = -0.0559, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 80, w1 = 4341.309, w2 = 4249.766, dw = -0.05548, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 81, w1 = 4308.675, w2 = 4217.821, dw = -0.05506, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 82, w1 = 4276.528, w2 = 4186.354, dw = -0.05465, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 83, w1 = 4244.858, w2 = 4155.352, dw = -0.05425, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 84, w1 = 4213.653, w2 = 4124.806, dw = -0.05385, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 85, w1 = 4182.903, w2 = 4094.707, dw = -0.05345, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 86, w1 = 4152.598, w2 = 4065.043, dw = -0.05306, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 87, w1 = 4122.73, w2 = 4035.806, dw = -0.05268, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 88, w1 = 4093.287, w2 = 4006.987, dw = -0.0523, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 89, w1 = 4064.262, w2 = 3978.576, dw = -0.05193, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 90, w1 = 4035.646, w2 = 3950.565, dw = -0.05156, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 91, w1 = 4007.429, w2 = 3922.946, dw = -0.0512, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 92, w1 = 3979.604, w2 = 3895.711, dw = -0.05084, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 93, w1 = 3952.162, w2 = 3868.851, dw = -0.05049, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 94, w1 = 3925.096, w2 = 3842.359, dw = -0.05014, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 95, w1 = 3898.397, w2 = 3816.227, dw = -0.0498, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 96, w1 = 3872.059, w2 = 3790.448, dw = -0.04946, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 97, w1 = 3846.073, w2 = 3765.015, dw = -0.04913, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 98, w1 = 3820.434, w2 = 3739.92, dw = -0.0488, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 99, w1 = 3795.133, w2 = 3715.158, dw = -0.04847, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 100, w1 = 3770.165, w2 = 3690.722, dw = -0.04815, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 101, w1 = 3745.523, w2 = 3666.605, dw = -0.04783, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 102, w1 = 3721.2, w2 = 3642.801, dw = -0.04751, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 103, w1 = 3697.19, w2 = 3619.303, dw = -0.0472, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 104, w1 = 3673.487, w2 = 3596.107, dw = -0.0469, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 105, w1 = 3650.085, w2 = 3573.206, dw = -0.04659, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 106, w1 = 3626.979, w2 = 3550.595, dw = -0.04629, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 107, w1 = 3604.162, w2 = 3528.267, dw = -0.046, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 108, w1 = 3581.63, w2 = 3506.219, dw = -0.0457, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 109, w1 = 3559.377, w2 = 3484.444, dw = -0.04541, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 110, w1 = 3537.398, w2 = 3462.938, dw = -0.04513, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 111, w1 = 3515.687, w2 = 3441.695, dw = -0.04484, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 112, w1 = 3494.24, w2 = 3420.711, dw = -0.04456, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 113, w1 = 3473.053, w2 = 3399.981, dw = -0.04429, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 114, w1 = 3452.119, w2 = 3379.5, dw = -0.04401, nw = 1651 zEchelleThAr.0022.ec.fits: ap = 115, w1 = 3431.435, w2 = 3359.264, dw = -0.04374, nw = 1651 EchelleThAr.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 1.' zEchelleThAr.0026.ec.fits: ap = 1, w1 = 10811.01, w2 = 10582.86, dw = -0.13827, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 2, w1 = 10610.82, w2 = 10386.9, dw = -0.13571, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 3, w1 = 10417.92, w2 = 10198.07, dw = -0.13325, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 4, w1 = 10231.91, w2 = 10015.97, dw = -0.13087, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 5, w1 = 10052.42, w2 = 9840.272, dw = -0.12857, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 6, w1 = 9879.119, w2 = 9670.629, dw = -0.12636, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 7, w1 = 9711.693, w2 = 9506.736, dw = -0.12422, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 8, w1 = 9549.848, w2 = 9348.306, dw = -0.12215, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 9, w1 = 9393.308, w2 = 9195.07, dw = -0.12014, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 10, w1 = 9241.818, w2 = 9046.777, dw = -0.11821, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 11, w1 = 9095.137, w2 = 8903.191, dw = -0.11633, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 12, w1 = 8953.039, w2 = 8764.093, dw = -0.11451, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 13, w1 = 8815.314, w2 = 8629.275, dw = -0.11275, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 14, w1 = 8681.761, w2 = 8498.541, dw = -0.11104, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 15, w1 = 8552.195, w2 = 8371.71, dw = -0.10938, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 16, w1 = 8426.439, w2 = 8248.61, dw = -0.10778, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 17, w1 = 8304.328, w2 = 8129.077, dw = -0.10621, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 18, w1 = 8185.706, w2 = 8012.96, dw = -0.10469, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 19, w1 = 8070.425, w2 = 7900.113, dw = -0.10322, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 20, w1 = 7958.347, w2 = 7790.402, dw = -0.10178, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 21, w1 = 7849.338, w2 = 7683.695, dw = -0.10039, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 22, w1 = 7743.276, w2 = 7579.873, dw = -0.09903, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 23, w1 = 7640.042, w2 = 7478.82, dw = -0.09771, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 24, w1 = 7539.525, w2 = 7380.425, dw = -0.09642, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 25, w1 = 7441.618, w2 = 7284.587, dw = -0.09517, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 26, w1 = 7346.222, w2 = 7191.205, dw = -0.09395, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 27, w1 = 7253.24, w2 = 7100.188, dw = -0.09276, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 28, w1 = 7162.583, w2 = 7011.446, dw = -0.0916, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 29, w1 = 7074.165, w2 = 6924.896, dw = -0.09047, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 30, w1 = 6987.903, w2 = 6840.456, dw = -0.08936, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 31, w1 = 6903.72, w2 = 6758.052, dw = -0.08828, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 32, w1 = 6821.541, w2 = 6677.609, dw = -0.08723, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 33, w1 = 6741.296, w2 = 6599.059, dw = -0.0862, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 34, w1 = 6662.917, w2 = 6522.336, dw = -0.0852, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 35, w1 = 6586.339, w2 = 6447.376, dw = -0.08422, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 36, w1 = 6511.502, w2 = 6374.121, dw = -0.08326, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 37, w1 = 6438.347, w2 = 6302.511, dw = -0.08233, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 38, w1 = 6366.818, w2 = 6232.493, dw = -0.08141, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 39, w1 = 6296.861, w2 = 6164.014, dw = -0.08051, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 40, w1 = 6228.424, w2 = 6097.023, dw = -0.07964, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 41, w1 = 6161.46, w2 = 6031.474, dw = -0.07878, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 42, w1 = 6095.92, w2 = 5967.319, dw = -0.07794, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 43, w1 = 6031.76, w2 = 5904.515, dw = -0.07712, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 44, w1 = 5968.937, w2 = 5843.019, dw = -0.07631, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 45, w1 = 5907.41, w2 = 5782.791, dw = -0.07553, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 46, w1 = 5847.138, w2 = 5723.793, dw = -0.07475, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 47, w1 = 5788.084, w2 = 5665.986, dw = -0.074, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 48, w1 = 5730.211, w2 = 5609.336, dw = -0.07326, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 49, w1 = 5673.484, w2 = 5553.807, dw = -0.07253, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 50, w1 = 5617.869, w2 = 5499.368, dw = -0.07182, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 51, w1 = 5563.335, w2 = 5445.985, dw = -0.07112, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 52, w1 = 5509.849, w2 = 5393.629, dw = -0.07044, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 53, w1 = 5457.382, w2 = 5342.271, dw = -0.06976, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 54, w1 = 5405.906, w2 = 5291.882, dw = -0.06911, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 55, w1 = 5355.391, w2 = 5242.434, dw = -0.06846, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 56, w1 = 5305.812, w2 = 5193.903, dw = -0.06782, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 57, w1 = 5257.143, w2 = 5146.262, dw = -0.0672, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 58, w1 = 5209.359, w2 = 5099.487, dw = -0.06659, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 59, w1 = 5162.436, w2 = 5053.555, dw = -0.06599, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 60, w1 = 5116.351, w2 = 5008.444, dw = -0.0654, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 61, w1 = 5071.082, w2 = 4964.131, dw = -0.06482, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 62, w1 = 5026.607, w2 = 4920.595, dw = -0.06425, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 63, w1 = 4982.906, w2 = 4877.817, dw = -0.06369, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 64, w1 = 4939.959, w2 = 4835.776, dw = -0.06314, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 65, w1 = 4897.745, w2 = 4794.455, dw = -0.0626, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 66, w1 = 4856.247, w2 = 4753.833, dw = -0.06207, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 67, w1 = 4815.447, w2 = 4713.895, dw = -0.06155, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 68, w1 = 4775.327, w2 = 4674.622, dw = -0.06103, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 69, w1 = 4735.87, w2 = 4635.998, dw = -0.06053, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 70, w1 = 4697.06, w2 = 4598.008, dw = -0.06003, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 71, w1 = 4658.881, w2 = 4560.635, dw = -0.05954, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 72, w1 = 4621.319, w2 = 4523.865, dw = -0.05906, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 73, w1 = 4584.357, w2 = 4487.684, dw = -0.05859, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 74, w1 = 4547.982, w2 = 4452.077, dw = -0.05812, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 75, w1 = 4512.18, w2 = 4417.031, dw = -0.05767, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 76, w1 = 4476.937, w2 = 4382.533, dw = -0.05721, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 77, w1 = 4442.241, w2 = 4348.569, dw = -0.05677, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 78, w1 = 4408.079, w2 = 4315.129, dw = -0.05633, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 79, w1 = 4374.438, w2 = 4282.198, dw = -0.0559, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 80, w1 = 4341.308, w2 = 4249.767, dw = -0.05548, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 81, w1 = 4308.675, w2 = 4217.824, dw = -0.05506, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 82, w1 = 4276.53, w2 = 4186.357, dw = -0.05465, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 83, w1 = 4244.861, w2 = 4155.357, dw = -0.05424, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 84, w1 = 4213.657, w2 = 4124.812, dw = -0.05385, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 85, w1 = 4182.91, w2 = 4094.714, dw = -0.05345, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 86, w1 = 4152.608, w2 = 4065.052, dw = -0.05306, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 87, w1 = 4122.742, w2 = 4035.817, dw = -0.05268, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 88, w1 = 4093.302, w2 = 4006.999, dw = -0.0523, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 89, w1 = 4064.281, w2 = 3978.59, dw = -0.05193, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 90, w1 = 4035.668, w2 = 3950.582, dw = -0.05157, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 91, w1 = 4007.455, w2 = 3922.965, dw = -0.05121, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 92, w1 = 3979.634, w2 = 3895.732, dw = -0.05085, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 93, w1 = 3952.197, w2 = 3868.875, dw = -0.0505, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 94, w1 = 3925.136, w2 = 3842.385, dw = -0.05015, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 95, w1 = 3898.443, w2 = 3816.256, dw = -0.04981, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 96, w1 = 3872.111, w2 = 3790.48, dw = -0.04947, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 97, w1 = 3846.132, w2 = 3765.05, dw = -0.04914, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 98, w1 = 3820.499, w2 = 3739.96, dw = -0.04881, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 99, w1 = 3795.206, w2 = 3715.201, dw = -0.04849, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 100, w1 = 3770.246, w2 = 3690.769, dw = -0.04817, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 101, w1 = 3745.612, w2 = 3666.656, dw = -0.04785, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 102, w1 = 3721.298, w2 = 3642.856, dw = -0.04754, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 103, w1 = 3697.298, w2 = 3619.363, dw = -0.04723, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 104, w1 = 3673.605, w2 = 3596.171, dw = -0.04693, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 105, w1 = 3650.214, w2 = 3573.275, dw = -0.04663, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 106, w1 = 3627.119, w2 = 3550.669, dw = -0.04633, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 107, w1 = 3604.315, w2 = 3528.347, dw = -0.04604, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 108, w1 = 3581.795, w2 = 3506.304, dw = -0.04575, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 109, w1 = 3559.555, w2 = 3484.535, dw = -0.04547, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 110, w1 = 3537.59, w2 = 3463.035, dw = -0.04518, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 111, w1 = 3515.894, w2 = 3441.799, dw = -0.04491, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 112, w1 = 3494.463, w2 = 3420.822, dw = -0.04463, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 113, w1 = 3473.291, w2 = 3400.098, dw = -0.04436, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 114, w1 = 3452.374, w2 = 3379.625, dw = -0.04409, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 115, w1 = 3431.708, w2 = 3359.397, dw = -0.04382, nw = 1651 EchelleThAr.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0030.ec 1.' zEchelleThAr.0030.ec.fits: ap = 1, w1 = 10811.08, w2 = 10582.84, dw = -0.13833, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 2, w1 = 10610.89, w2 = 10386.88, dw = -0.13576, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 3, w1 = 10417.97, w2 = 10198.05, dw = -0.13329, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 4, w1 = 10231.95, w2 = 10015.96, dw = -0.1309, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 5, w1 = 10052.46, w2 = 9840.259, dw = -0.1286, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 6, w1 = 9879.149, w2 = 9670.617, dw = -0.12638, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 7, w1 = 9711.718, w2 = 9506.725, dw = -0.12424, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 8, w1 = 9549.867, w2 = 9348.296, dw = -0.12216, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 9, w1 = 9393.324, w2 = 9195.061, dw = -0.12016, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 10, w1 = 9241.83, w2 = 9046.769, dw = -0.11822, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 11, w1 = 9095.145, w2 = 8903.184, dw = -0.11634, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 12, w1 = 8953.045, w2 = 8764.086, dw = -0.11452, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 13, w1 = 8815.316, w2 = 8629.267, dw = -0.11276, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 14, w1 = 8681.762, w2 = 8498.534, dw = -0.11105, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 15, w1 = 8552.194, w2 = 8371.703, dw = -0.10939, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 16, w1 = 8426.437, w2 = 8248.603, dw = -0.10778, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 17, w1 = 8304.325, w2 = 8129.07, dw = -0.10622, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 18, w1 = 8185.702, w2 = 8012.952, dw = -0.1047, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 19, w1 = 8070.421, w2 = 7900.106, dw = -0.10322, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 20, w1 = 7958.341, w2 = 7790.394, dw = -0.10179, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 21, w1 = 7849.333, w2 = 7683.687, dw = -0.10039, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 22, w1 = 7743.271, w2 = 7579.865, dw = -0.09903, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 23, w1 = 7640.036, w2 = 7478.811, dw = -0.09771, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 24, w1 = 7539.519, w2 = 7380.416, dw = -0.09643, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 25, w1 = 7441.613, w2 = 7284.577, dw = -0.09517, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 26, w1 = 7346.217, w2 = 7191.195, dw = -0.09395, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 27, w1 = 7253.236, w2 = 7100.178, dw = -0.09276, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 28, w1 = 7162.579, w2 = 7011.436, dw = -0.0916, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 29, w1 = 7074.161, w2 = 6924.885, dw = -0.09047, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 30, w1 = 6987.9, w2 = 6840.445, dw = -0.08937, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 31, w1 = 6903.717, w2 = 6758.04, dw = -0.08829, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 32, w1 = 6821.538, w2 = 6677.597, dw = -0.08724, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 33, w1 = 6741.293, w2 = 6599.047, dw = -0.08621, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 34, w1 = 6662.914, w2 = 6522.324, dw = -0.08521, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 35, w1 = 6586.337, w2 = 6447.365, dw = -0.08423, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 36, w1 = 6511.501, w2 = 6374.109, dw = -0.08327, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 37, w1 = 6438.346, w2 = 6302.499, dw = -0.08233, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 38, w1 = 6366.817, w2 = 6232.481, dw = -0.08142, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 39, w1 = 6296.86, w2 = 6164.002, dw = -0.08052, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 40, w1 = 6228.423, w2 = 6097.012, dw = -0.07964, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 41, w1 = 6161.459, w2 = 6031.462, dw = -0.07879, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 42, w1 = 6095.919, w2 = 5967.307, dw = -0.07795, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 43, w1 = 6031.759, w2 = 5904.503, dw = -0.07712, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 44, w1 = 5968.936, w2 = 5843.008, dw = -0.07632, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 45, w1 = 5907.408, w2 = 5782.78, dw = -0.07553, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 46, w1 = 5847.136, w2 = 5723.782, dw = -0.07476, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 47, w1 = 5788.082, w2 = 5665.976, dw = -0.074, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 48, w1 = 5730.208, w2 = 5609.326, dw = -0.07326, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 49, w1 = 5673.481, w2 = 5553.797, dw = -0.07254, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 50, w1 = 5617.866, w2 = 5499.358, dw = -0.07182, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 51, w1 = 5563.331, w2 = 5445.976, dw = -0.07112, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 52, w1 = 5509.845, w2 = 5393.621, dw = -0.07044, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 53, w1 = 5457.377, w2 = 5342.263, dw = -0.06977, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 54, w1 = 5405.9, w2 = 5291.874, dw = -0.06911, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 55, w1 = 5355.385, w2 = 5242.427, dw = -0.06846, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 56, w1 = 5305.806, w2 = 5193.896, dw = -0.06782, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 57, w1 = 5257.136, w2 = 5146.255, dw = -0.0672, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 58, w1 = 5209.351, w2 = 5099.481, dw = -0.06659, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 59, w1 = 5162.428, w2 = 5053.549, dw = -0.06599, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 60, w1 = 5116.342, w2 = 5008.438, dw = -0.0654, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 61, w1 = 5071.072, w2 = 4964.126, dw = -0.06482, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 62, w1 = 5026.597, w2 = 4920.591, dw = -0.06425, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 63, w1 = 4982.895, w2 = 4877.813, dw = -0.06369, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 64, w1 = 4939.947, w2 = 4835.772, dw = -0.06314, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 65, w1 = 4897.733, w2 = 4794.451, dw = -0.0626, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 66, w1 = 4856.235, w2 = 4753.83, dw = -0.06206, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 67, w1 = 4815.434, w2 = 4713.891, dw = -0.06154, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 68, w1 = 4775.313, w2 = 4674.619, dw = -0.06103, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 69, w1 = 4735.856, w2 = 4635.995, dw = -0.06052, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 70, w1 = 4697.046, w2 = 4598.005, dw = -0.06002, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 71, w1 = 4658.867, w2 = 4560.633, dw = -0.05954, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 72, w1 = 4621.304, w2 = 4523.863, dw = -0.05906, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 73, w1 = 4584.342, w2 = 4487.682, dw = -0.05858, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 74, w1 = 4547.967, w2 = 4452.075, dw = -0.05812, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 75, w1 = 4512.165, w2 = 4417.029, dw = -0.05766, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 76, w1 = 4476.923, w2 = 4382.53, dw = -0.05721, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 77, w1 = 4442.227, w2 = 4348.566, dw = -0.05676, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 78, w1 = 4408.066, w2 = 4315.125, dw = -0.05633, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 79, w1 = 4374.426, w2 = 4282.195, dw = -0.0559, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 80, w1 = 4341.296, w2 = 4249.763, dw = -0.05547, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 81, w1 = 4308.664, w2 = 4217.819, dw = -0.05506, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 82, w1 = 4276.52, w2 = 4186.352, dw = -0.05465, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 83, w1 = 4244.852, w2 = 4155.351, dw = -0.05424, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 84, w1 = 4213.651, w2 = 4124.805, dw = -0.05385, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 85, w1 = 4182.905, w2 = 4094.706, dw = -0.05345, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 86, w1 = 4152.605, w2 = 4065.043, dw = -0.05307, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 87, w1 = 4122.741, w2 = 4035.806, dw = -0.05269, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 88, w1 = 4093.304, w2 = 4006.988, dw = -0.05231, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 89, w1 = 4064.285, w2 = 3978.578, dw = -0.05194, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 90, w1 = 4035.675, w2 = 3950.568, dw = -0.05158, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 91, w1 = 4007.465, w2 = 3922.949, dw = -0.05122, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 92, w1 = 3979.648, w2 = 3895.714, dw = -0.05087, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 93, w1 = 3952.214, w2 = 3868.855, dw = -0.05052, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 94, w1 = 3925.157, w2 = 3842.363, dw = -0.05018, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 95, w1 = 3898.468, w2 = 3816.232, dw = -0.04984, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 96, w1 = 3872.141, w2 = 3790.454, dw = -0.04951, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 97, w1 = 3846.167, w2 = 3765.022, dw = -0.04918, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 98, w1 = 3820.539, w2 = 3739.928, dw = -0.04886, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 99, w1 = 3795.252, w2 = 3715.167, dw = -0.04854, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 100, w1 = 3770.297, w2 = 3690.731, dw = -0.04822, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 101, w1 = 3745.67, w2 = 3666.615, dw = -0.04791, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 102, w1 = 3721.362, w2 = 3642.812, dw = -0.04761, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 103, w1 = 3697.369, w2 = 3619.315, dw = -0.04731, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 104, w1 = 3673.684, w2 = 3596.12, dw = -0.04701, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 105, w1 = 3650.3, w2 = 3573.22, dw = -0.04672, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 106, w1 = 3627.214, w2 = 3550.61, dw = -0.04643, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 107, w1 = 3604.418, w2 = 3528.283, dw = -0.04614, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 108, w1 = 3581.907, w2 = 3506.236, dw = -0.04586, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 109, w1 = 3559.677, w2 = 3484.462, dw = -0.04558, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 110, w1 = 3537.721, w2 = 3462.957, dw = -0.04531, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 111, w1 = 3516.036, w2 = 3441.715, dw = -0.04504, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 112, w1 = 3494.615, w2 = 3420.733, dw = -0.04478, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 113, w1 = 3473.455, w2 = 3400.004, dw = -0.04452, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 114, w1 = 3452.55, w2 = 3379.524, dw = -0.04426, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 115, w1 = 3431.896, w2 = 3359.29, dw = -0.044, nw = 1651 Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Apr 19 16:49: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 160325.0020.ec.fits[ 1] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 2] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 3] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 4] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 5] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 6] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 7] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 8] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 9] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 10] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 11] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 12] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 13] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 14] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 15] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 16] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 17] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 18] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 19] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 20] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 21] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 22] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 23] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 24] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 25] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 26] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 27] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 28] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 29] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 30] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 31] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 32] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 33] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 34] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 35] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 36] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 37] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 38] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 39] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 40] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 41] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 42] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 43] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 44] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 45] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 46] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 47] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 48] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 49] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 50] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 51] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 52] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 53] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 54] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 55] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 56] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 57] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 58] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 59] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 60] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 61] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 62] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 63] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 64] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 65] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 66] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 67] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 68] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 69] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 70] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 71] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 72] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 73] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 74] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 75] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 76] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 77] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 78] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 79] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 80] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 81] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 82] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 83] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 84] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 85] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 86] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 87] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 88] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 89] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 90] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 91] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 92] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 93] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 94] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 95] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 96] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 97] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 98] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[ 99] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[100] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[101] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[102] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[103] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[104] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[105] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[106] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[107] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[108] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[109] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[110] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[111] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[112] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[113] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[114] 1300.0 1.000 0. 0.009 160325.0020.ec.fits[115] 1300.0 1.000 0. 0.009 Output image = sum160325.0020.ec.fits, ncombine = 115, exptime = 149500. w1 = 3359.338, w2 = 10811., dw = 0.04380058, nw = 170128., dtype = 0 Apr 19 16:50: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 160325.0021.ec.fits[ 1] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 2] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 3] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 4] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 5] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 6] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 7] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 8] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 9] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 10] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 11] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 12] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 13] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 14] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 15] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 16] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 17] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 18] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 19] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 20] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 21] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 22] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 23] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 24] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 25] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 26] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 27] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 28] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 29] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 30] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 31] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 32] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 33] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 34] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 35] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 36] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 37] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 38] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 39] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 40] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 41] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 42] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 43] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 44] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 45] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 46] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 47] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 48] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 49] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 50] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 51] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 52] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 53] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 54] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 55] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 56] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 57] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 58] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 59] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 60] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 61] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 62] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 63] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 64] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 65] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 66] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 67] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 68] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 69] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 70] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 71] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 72] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 73] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 74] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 75] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 76] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 77] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 78] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 79] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 80] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 81] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 82] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 83] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 84] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 85] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 86] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 87] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 88] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 89] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 90] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 91] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 92] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 93] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 94] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 95] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 96] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 97] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 98] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[ 99] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[100] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[101] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[102] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[103] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[104] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[105] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[106] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[107] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[108] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[109] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[110] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[111] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[112] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[113] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[114] 1500.0 1.000 0. 0.009 160325.0021.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum160325.0021.ec.fits, ncombine = 115, exptime = 172499.9 w1 = 3359.292, w2 = 10810.96, dw = 0.04376256, nw = 170276., dtype = 0 Apr 19 16:51: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 160325.0023.ec.fits[ 1] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 2] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 3] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 4] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 5] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 6] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 7] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 8] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 9] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 10] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 11] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 12] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 13] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 14] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 15] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 16] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 17] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 18] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 19] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 20] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 21] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 22] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 23] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 24] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 25] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 26] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 27] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 28] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 29] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 30] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 31] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 32] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 33] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 34] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 35] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 36] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 37] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 38] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 39] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 40] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 41] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 42] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 43] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 44] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 45] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 46] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 47] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 48] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 49] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 50] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 51] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 52] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 53] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 54] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 55] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 56] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 57] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 58] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 59] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 60] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 61] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 62] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 63] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 64] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 65] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 66] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 67] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 68] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 69] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 70] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 71] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 72] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 73] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 74] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 75] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 76] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 77] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 78] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 79] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 80] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 81] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 82] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 83] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 84] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 85] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 86] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 87] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 88] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 89] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 90] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 91] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 92] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 93] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 94] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 95] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 96] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 97] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 98] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[ 99] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[100] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[101] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[102] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[103] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[104] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[105] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[106] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[107] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[108] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[109] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[110] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[111] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[112] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[113] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[114] 1000.0 1.000 0. 0.009 160325.0023.ec.fits[115] 1000.0 1.000 0. 0.009 Output image = sum160325.0023.ec.fits, ncombine = 115, exptime = 115000. w1 = 3359.288, w2 = 10810.95, dw = 0.04375508, nw = 170305., dtype = 0 Apr 19 16:52: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 160325.0024.ec.fits[ 1] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 2] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 3] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 4] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 5] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 6] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 7] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 8] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 9] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 10] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 11] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 12] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 13] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 14] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 15] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 16] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 17] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 18] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 19] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 20] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 21] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 22] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 23] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 24] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 25] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 26] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 27] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 28] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 29] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 30] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 31] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 32] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 33] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 34] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 35] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 36] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 37] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 38] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 39] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 40] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 41] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 42] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 43] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 44] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 45] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 46] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 47] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 48] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 49] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 50] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 51] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 52] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 53] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 54] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 55] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 56] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 57] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 58] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 59] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 60] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 61] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 62] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 63] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 64] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 65] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 66] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 67] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 68] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 69] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 70] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 71] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 72] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 73] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 74] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 75] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 76] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 77] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 78] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 79] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 80] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 81] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 82] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 83] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 84] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 85] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 86] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 87] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 88] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 89] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 90] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 91] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 92] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 93] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 94] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 95] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 96] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 97] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 98] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[ 99] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[100] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[101] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[102] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[103] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[104] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[105] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[106] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[107] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[108] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[109] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[110] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[111] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[112] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[113] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[114] 1300.0 1.000 0. 0.009 160325.0024.ec.fits[115] 1300.0 1.000 0. 0.009 Output image = sum160325.0024.ec.fits, ncombine = 115, exptime = 149500.2 w1 = 3359.331, w2 = 10810.97, dw = 0.04378271, nw = 170197., dtype = 0 Apr 19 16:53: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 160325.0025.ec.fits[ 1] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 2] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 3] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 4] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 5] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 6] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 7] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 8] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 9] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 10] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 11] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 12] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 13] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 14] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 15] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 16] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 17] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 18] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 19] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 20] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 21] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 22] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 23] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 24] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 25] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 26] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 27] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 28] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 29] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 30] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 31] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 32] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 33] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 34] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 35] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 36] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 37] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 38] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 39] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 40] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 41] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 42] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 43] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 44] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 45] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 46] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 47] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 48] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 49] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 50] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 51] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 52] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 53] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 54] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 55] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 56] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 57] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 58] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 59] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 60] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 61] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 62] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 63] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 64] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 65] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 66] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 67] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 68] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 69] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 70] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 71] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 72] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 73] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 74] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 75] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 76] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 77] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 78] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 79] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 80] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 81] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 82] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 83] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 84] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 85] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 86] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 87] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 88] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 89] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 90] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 91] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 92] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 93] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 94] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 95] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 96] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 97] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 98] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[ 99] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[100] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[101] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[102] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[103] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[104] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[105] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[106] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[107] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[108] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[109] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[110] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[111] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[112] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[113] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[114] 1000.0 1.000 0. 0.009 160325.0025.ec.fits[115] 1000.0 1.000 0. 0.009 Output image = sum160325.0025.ec.fits, ncombine = 115, exptime = 115000. w1 = 3359.375, w2 = 10811., dw = 0.04381039, nw = 170089., dtype = 0 Apr 19 16:54: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 160325.0027.ec.fits[ 1] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 2] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 3] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 4] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 5] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 6] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 7] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 8] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 9] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 10] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 11] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 12] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 13] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 14] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 15] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 16] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 17] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 18] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 19] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 20] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 21] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 22] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 23] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 24] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 25] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 26] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 27] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 28] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 29] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 30] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 31] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 32] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 33] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 34] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 35] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 36] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 37] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 38] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 39] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 40] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 41] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 42] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 43] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 44] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 45] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 46] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 47] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 48] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 49] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 50] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 51] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 52] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 53] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 54] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 55] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 56] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 57] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 58] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 59] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 60] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 61] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 62] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 63] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 64] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 65] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 66] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 67] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 68] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 69] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 70] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 71] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 72] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 73] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 74] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 75] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 76] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 77] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 78] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 79] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 80] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 81] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 82] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 83] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 84] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 85] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 86] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 87] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 88] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 89] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 90] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 91] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 92] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 93] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 94] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 95] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 96] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 97] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 98] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[ 99] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[100] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[101] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[102] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[103] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[104] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[105] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[106] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[107] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[108] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[109] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[110] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[111] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[112] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[113] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[114] 1400.0 1.000 0. 0.009 160325.0027.ec.fits[115] 1400.0 1.000 0. 0.009 Output image = sum160325.0027.ec.fits, ncombine = 115, exptime = 161000. w1 = 3359.381, w2 = 10811.02, dw = 0.04385148, nw = 169930., dtype = 0 Apr 19 16:55: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 160325.0028.ec.fits[ 1] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 2] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 3] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 4] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 5] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 6] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 7] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 8] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 9] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 10] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 11] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 12] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 13] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 14] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 15] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 16] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 17] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 18] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 19] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 20] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 21] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 22] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 23] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 24] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 25] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 26] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 27] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 28] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 29] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 30] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 31] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 32] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 33] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 34] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 35] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 36] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 37] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 38] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 39] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 40] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 41] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 42] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 43] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 44] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 45] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 46] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 47] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 48] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 49] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 50] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 51] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 52] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 53] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 54] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 55] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 56] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 57] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 58] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 59] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 60] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 61] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 62] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 63] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 64] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 65] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 66] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 67] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 68] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 69] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 70] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 71] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 72] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 73] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 74] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 75] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 76] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 77] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 78] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 79] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 80] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 81] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 82] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 83] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 84] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 85] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 86] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 87] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 88] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 89] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 90] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 91] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 92] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 93] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 94] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 95] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 96] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 97] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 98] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[ 99] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[100] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[101] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[102] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[103] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[104] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[105] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[106] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[107] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[108] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[109] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[110] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[111] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[112] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[113] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[114] 1800.0 1.000 0. 0.009 160325.0028.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum160325.0028.ec.fits, ncombine = 115, exptime = 206999.9 w1 = 3359.346, w2 = 10811.04, dw = 0.04390892, nw = 169709., dtype = 0 Apr 19 16:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 160325.0029.ec.fits[ 1] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 2] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 3] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 4] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 5] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 6] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 7] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 8] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 9] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 10] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 11] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 12] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 13] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 14] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 15] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 16] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 17] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 18] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 19] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 20] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 21] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 22] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 23] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 24] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 25] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 26] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 27] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 28] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 29] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 30] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 31] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 32] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 33] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 34] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 35] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 36] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 37] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 38] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 39] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 40] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 41] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 42] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 43] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 44] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 45] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 46] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 47] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 48] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 49] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 50] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 51] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 52] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 53] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 54] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 55] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 56] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 57] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 58] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 59] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 60] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 61] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 62] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 63] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 64] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 65] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 66] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 67] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 68] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 69] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 70] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 71] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 72] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 73] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 74] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 75] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 76] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 77] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 78] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 79] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 80] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 81] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 82] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 83] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 84] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 85] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 86] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 87] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 88] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 89] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 90] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 91] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 92] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 93] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 94] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 95] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 96] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 97] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 98] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[ 99] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[100] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[101] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[102] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[103] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[104] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[105] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[106] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[107] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[108] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[109] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[110] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[111] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[112] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[113] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[114] 1100.0 1.000 0. 0.009 160325.0029.ec.fits[115] 1100.0 1.000 0. 0.009 Output image = sum160325.0029.ec.fits, ncombine = 115, exptime = 126500. w1 = 3359.301, w2 = 10811.07, dw = 0.04398454, nw = 169419., dtype = 0 Apr 19 23:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont160325.0020.ec.fits[ 1] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 2] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 3] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 4] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 5] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 6] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 7] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 8] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 9] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 10] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 11] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 12] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 13] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 14] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 15] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 16] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 17] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 18] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 19] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 20] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 21] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 22] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 23] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 24] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 25] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 26] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 27] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 28] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 29] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 30] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 31] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 32] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 33] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 34] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 35] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 36] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 37] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 38] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 39] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 40] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 41] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 42] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 43] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 44] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 45] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 46] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 47] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 48] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 49] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 50] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 51] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 52] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 53] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 54] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 55] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 56] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 57] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 58] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 59] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 60] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 61] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 62] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 63] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 64] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 65] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 66] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 67] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 68] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 69] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 70] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 71] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 72] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 73] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 74] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 75] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 76] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 77] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 78] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 79] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 80] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 81] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 82] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 83] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 84] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 85] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 86] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 87] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 88] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 89] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 90] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 91] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 92] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 93] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 94] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 95] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 96] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 97] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 98] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[ 99] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[100] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[101] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[102] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[103] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[104] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[105] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[106] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[107] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[108] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[109] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[110] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[111] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[112] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[113] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[114] 1300.0 1.000 0. 0.009 fitcont160325.0020.ec.fits[115] 1300.0 1.000 0. 0.009 Output image = sumfitcont160325.0020.ec.fits, ncombine = 115, exptime = 149500. w1 = 3359.338, w2 = 10811., dw = 0.04380058, nw = 170128., dtype = 0 Apr 19 23:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont160325.0021.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont160325.0021.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont160325.0021.ec.fits, ncombine = 115, exptime = 172499.9 w1 = 3359.292, w2 = 10810.96, dw = 0.04376256, nw = 170276., dtype = 0 Apr 19 23:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont160325.0023.ec.fits[ 1] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 2] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 3] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 4] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 5] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 6] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 7] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 8] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 9] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 10] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 11] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 12] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 13] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 14] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 15] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 16] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 17] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 18] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 19] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 20] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 21] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 22] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 23] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 24] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 25] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 26] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 27] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 28] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 29] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 30] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 31] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 32] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 33] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 34] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 35] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 36] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 37] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 38] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 39] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 40] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 41] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 42] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 43] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 44] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 45] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 46] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 47] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 48] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 49] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 50] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 51] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 52] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 53] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 54] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 55] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 56] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 57] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 58] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 59] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 60] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 61] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 62] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 63] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 64] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 65] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 66] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 67] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 68] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 69] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 70] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 71] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 72] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 73] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 74] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 75] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 76] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 77] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 78] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 79] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 80] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 81] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 82] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 83] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 84] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 85] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 86] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 87] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 88] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 89] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 90] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 91] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 92] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 93] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 94] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 95] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 96] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 97] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 98] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[ 99] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[100] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[101] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[102] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[103] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[104] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[105] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[106] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[107] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[108] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[109] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[110] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[111] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[112] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[113] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[114] 1000.0 1.000 0. 0.009 fitcont160325.0023.ec.fits[115] 1000.0 1.000 0. 0.009 Output image = sumfitcont160325.0023.ec.fits, ncombine = 115, exptime = 115000. w1 = 3359.288, w2 = 10810.95, dw = 0.04375508, nw = 170305., dtype = 0 Apr 19 23:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont160325.0024.ec.fits[ 1] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 2] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 3] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 4] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 5] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 6] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 7] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 8] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 9] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 10] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 11] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 12] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 13] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 14] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 15] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 16] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 17] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 18] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 19] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 20] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 21] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 22] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 23] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 24] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 25] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 26] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 27] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 28] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 29] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 30] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 31] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 32] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 33] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 34] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 35] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 36] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 37] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 38] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 39] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 40] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 41] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 42] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 43] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 44] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 45] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 46] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 47] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 48] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 49] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 50] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 51] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 52] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 53] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 54] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 55] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 56] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 57] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 58] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 59] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 60] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 61] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 62] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 63] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 64] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 65] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 66] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 67] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 68] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 69] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 70] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 71] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 72] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 73] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 74] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 75] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 76] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 77] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 78] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 79] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 80] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 81] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 82] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 83] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 84] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 85] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 86] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 87] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 88] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 89] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 90] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 91] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 92] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 93] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 94] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 95] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 96] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 97] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 98] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[ 99] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[100] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[101] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[102] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[103] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[104] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[105] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[106] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[107] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[108] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[109] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[110] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[111] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[112] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[113] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[114] 1300.0 1.000 0. 0.009 fitcont160325.0024.ec.fits[115] 1300.0 1.000 0. 0.009 Output image = sumfitcont160325.0024.ec.fits, ncombine = 115, exptime = 149500.2 w1 = 3359.331, w2 = 10810.97, dw = 0.04378271, nw = 170197., dtype = 0 Apr 19 23:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont160325.0025.ec.fits[ 1] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 2] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 3] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 4] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 5] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 6] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 7] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 8] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 9] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 10] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 11] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 12] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 13] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 14] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 15] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 16] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 17] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 18] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 19] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 20] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 21] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 22] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 23] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 24] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 25] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 26] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 27] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 28] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 29] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 30] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 31] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 32] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 33] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 34] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 35] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 36] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 37] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 38] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 39] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 40] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 41] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 42] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 43] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 44] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 45] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 46] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 47] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 48] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 49] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 50] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 51] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 52] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 53] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 54] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 55] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 56] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 57] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 58] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 59] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 60] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 61] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 62] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 63] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 64] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 65] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 66] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 67] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 68] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 69] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 70] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 71] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 72] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 73] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 74] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 75] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 76] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 77] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 78] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 79] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 80] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 81] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 82] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 83] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 84] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 85] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 86] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 87] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 88] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 89] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 90] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 91] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 92] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 93] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 94] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 95] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 96] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 97] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 98] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[ 99] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[100] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[101] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[102] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[103] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[104] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[105] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[106] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[107] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[108] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[109] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[110] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[111] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[112] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[113] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[114] 1000.0 1.000 0. 0.009 fitcont160325.0025.ec.fits[115] 1000.0 1.000 0. 0.009 Output image = sumfitcont160325.0025.ec.fits, ncombine = 115, exptime = 115000. w1 = 3359.375, w2 = 10811., dw = 0.04381039, nw = 170089., dtype = 0 Apr 19 23:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont160325.0027.ec.fits[ 1] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 2] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 3] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 4] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 5] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 6] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 7] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 8] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 9] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 10] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 11] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 12] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 13] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 14] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 15] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 16] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 17] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 18] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 19] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 20] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 21] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 22] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 23] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 24] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 25] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 26] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 27] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 28] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 29] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 30] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 31] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 32] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 33] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 34] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 35] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 36] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 37] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 38] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 39] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 40] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 41] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 42] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 43] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 44] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 45] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 46] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 47] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 48] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 49] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 50] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 51] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 52] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 53] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 54] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 55] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 56] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 57] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 58] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 59] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 60] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 61] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 62] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 63] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 64] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 65] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 66] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 67] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 68] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 69] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 70] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 71] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 72] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 73] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 74] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 75] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 76] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 77] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 78] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 79] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 80] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 81] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 82] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 83] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 84] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 85] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 86] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 87] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 88] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 89] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 90] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 91] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 92] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 93] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 94] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 95] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 96] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 97] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 98] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[ 99] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[100] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[101] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[102] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[103] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[104] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[105] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[106] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[107] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[108] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[109] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[110] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[111] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[112] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[113] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[114] 1400.0 1.000 0. 0.009 fitcont160325.0027.ec.fits[115] 1400.0 1.000 0. 0.009 Output image = sumfitcont160325.0027.ec.fits, ncombine = 115, exptime = 161000. w1 = 3359.381, w2 = 10811.02, dw = 0.04385148, nw = 169930., dtype = 0 Apr 19 23:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont160325.0028.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont160325.0028.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont160325.0028.ec.fits, ncombine = 115, exptime = 206999.9 w1 = 3359.346, w2 = 10811.04, dw = 0.04390892, nw = 169709., dtype = 0 Apr 19 23:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont160325.0029.ec.fits[ 1] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 2] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 3] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 4] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 5] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 6] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 7] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 8] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 9] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 10] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 11] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 12] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 13] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 14] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 15] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 16] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 17] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 18] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 19] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 20] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 21] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 22] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 23] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 24] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 25] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 26] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 27] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 28] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 29] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 30] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 31] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 32] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 33] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 34] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 35] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 36] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 37] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 38] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 39] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 40] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 41] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 42] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 43] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 44] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 45] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 46] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 47] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 48] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 49] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 50] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 51] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 52] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 53] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 54] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 55] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 56] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 57] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 58] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 59] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 60] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 61] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 62] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 63] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 64] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 65] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 66] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 67] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 68] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 69] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 70] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 71] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 72] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 73] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 74] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 75] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 76] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 77] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 78] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 79] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 80] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 81] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 82] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 83] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 84] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 85] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 86] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 87] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 88] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 89] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 90] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 91] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 92] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 93] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 94] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 95] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 96] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 97] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 98] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[ 99] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[100] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[101] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[102] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[103] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[104] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[105] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[106] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[107] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[108] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[109] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[110] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[111] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[112] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[113] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[114] 1100.0 1.000 0. 0.009 fitcont160325.0029.ec.fits[115] 1100.0 1.000 0. 0.009 Output image = sumfitcont160325.0029.ec.fits, ncombine = 115, exptime = 126500. w1 = 3359.301, w2 = 10811.07, dw = 0.04398454, nw = 169419., dtype = 0 File "", line 5 flist=open('targets_extracted') ^ SyntaxError: invalid syntax Traceback (most recent call last): File "", line 1, in ValueError: I/O operation on closed file 0 ALL DONE! Yay! (=^.^=)