Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 131005.0021.fits,dispaxis = 1 131005.0021.fits updated add 131005.0022.fits,dispaxis = 1 131005.0022.fits updated add 131005.0023.fits,dispaxis = 1 131005.0023.fits updated add 131005.0025.fits,dispaxis = 1 131005.0025.fits updated add 131005.0026.fits,dispaxis = 1 131005.0026.fits updated add 131005.0028.fits,dispaxis = 1 131005.0028.fits updated add 131005.0029.fits,dispaxis = 1 131005.0029.fits updated add 131005.0031.fits,dispaxis = 1 131005.0031.fits updated add 131005.0033.fits,dispaxis = 1 131005.0033.fits updated add 131005.0035.fits,dispaxis = 1 131005.0035.fits updated add 131005.0036.fits,dispaxis = 1 131005.0036.fits updated add 131005.0037.fits,dispaxis = 1 131005.0037.fits updated add 131005.0039.fits,dispaxis = 1 131005.0039.fits updated add 131005.0040.fits,dispaxis = 1 131005.0040.fits updated add EchelleBias.0001.fits,dispaxis = 1 EchelleBias.0001.fits updated add EchelleBias.0002.fits,dispaxis = 1 EchelleBias.0002.fits updated add EchelleBias.0003.fits,dispaxis = 1 EchelleBias.0003.fits updated add EchelleBias.0004.fits,dispaxis = 1 EchelleBias.0004.fits updated add EchelleBias.0005.fits,dispaxis = 1 EchelleBias.0005.fits updated add EchelleBias.0006.fits,dispaxis = 1 EchelleBias.0006.fits updated add EchelleBias.0007.fits,dispaxis = 1 EchelleBias.0007.fits updated add EchelleBias.0008.fits,dispaxis = 1 EchelleBias.0008.fits updated add EchelleBias.0009.fits,dispaxis = 1 EchelleBias.0009.fits updated add EchelleBias.0010.fits,dispaxis = 1 EchelleBias.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlat.0012.fits,dispaxis = 1 EchelleFlat.0012.fits updated add EchelleFlat.0013.fits,dispaxis = 1 EchelleFlat.0013.fits updated add 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.0020.fits,dispaxis = 1 EchelleThAr.0020.fits updated add EchelleThAr.0024.fits,dispaxis = 1 EchelleThAr.0024.fits updated add EchelleThAr.0027.fits,dispaxis = 1 EchelleThAr.0027.fits updated add EchelleThAr.0030.fits,dispaxis = 1 EchelleThAr.0030.fits updated add EchelleThAr.0032.fits,dispaxis = 1 EchelleThAr.0032.fits updated add EchelleThAr.0034.fits,dispaxis = 1 EchelleThAr.0034.fits updated add EchelleThAr.0038.fits,dispaxis = 1 EchelleThAr.0038.fits updated add EchelleThAr.0041.fits,dispaxis = 1 EchelleThAr.0041.fits updated FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl FIXPIX: image EchelleFlat.0012.fits with mask echmask.pl FIXPIX: image EchelleFlat.0013.fits with mask echmask.pl FIXPIX: image 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 131005.0021.fits with mask echmask.pl FIXPIX: image 131005.0022.fits with mask echmask.pl FIXPIX: image 131005.0023.fits with mask echmask.pl FIXPIX: image 131005.0025.fits with mask echmask.pl FIXPIX: image 131005.0026.fits with mask echmask.pl FIXPIX: image 131005.0028.fits with mask echmask.pl FIXPIX: image 131005.0029.fits with mask echmask.pl FIXPIX: image 131005.0031.fits with mask echmask.pl FIXPIX: image 131005.0033.fits with mask echmask.pl FIXPIX: image 131005.0035.fits with mask echmask.pl FIXPIX: image 131005.0036.fits with mask echmask.pl FIXPIX: image 131005.0037.fits with mask echmask.pl FIXPIX: image 131005.0039.fits with mask echmask.pl FIXPIX: image 131005.0040.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.0020.fits with mask echmask.pl FIXPIX: image EchelleThAr.0024.fits with mask echmask.pl FIXPIX: image EchelleThAr.0027.fits with mask echmask.pl FIXPIX: image EchelleThAr.0030.fits with mask echmask.pl FIXPIX: image EchelleThAr.0032.fits with mask echmask.pl FIXPIX: image EchelleThAr.0034.fits with mask echmask.pl FIXPIX: image EchelleThAr.0038.fits with mask echmask.pl FIXPIX: image EchelleThAr.0041.fits with mask echmask.pl Dec 9 15:10: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.9 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.9 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 0.9 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.9 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 0.9 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 131005.0021.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] bias_fid: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0021.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0022.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0022.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0023.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0023.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0025.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0025.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0026.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0026.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0028.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0028.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0029.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0029.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0031.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0031.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0033.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0033.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0035.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0035.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0036.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0036.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0037.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0037.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0039.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0039.fits: Dec 9 15:10 Zero level correction image is bias_fid 131005.0040.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] 131005.0040.fits: Dec 9 15:10 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleFlat.0012.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleFlat.0013.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Dec 9 15:10 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Dec 9 15:10 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0018.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0019.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0020.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0024.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0024.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0027.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0027.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0030.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0030.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0032.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0032.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0034.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0034.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0038.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0038.fits: Dec 9 15:10 Zero level correction image is bias_fid EchelleThAr.0041.fits: Dec 9 15:10 Trim data section is [200:1850,1:2048] EchelleThAr.0041.fits: Dec 9 15:10 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 9 15:12: 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 Dec 9 15:12: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0011.fits 7.0 EchelleFlat.0012.fits 7.0 EchelleFlat.0013.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 9 15:12: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1642. Dec 9 15:12: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 1643. Dec 9 15:12: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1649. Dec 9 15:12: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1650. Dec 9 15:12: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1651. Dec 9 15:12: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1613. Dec 9 15:12: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1614. Dec 9 15:12: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1615. Dec 9 15:12: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 116. Dec 9 15:12: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 115. Dec 9 15:12: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 114. Dec 9 15:12: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 106. Dec 9 15:12: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 105. Dec 9 15:12: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 161. Dec 9 15:12: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 160. Dec 9 15:12: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 159. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1599. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1600. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1603. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1604. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1605. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1606. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 114. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 113. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 67. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 66. Dec 9 15:12: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 65. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1589. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1590. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1601. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1602. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1617. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1618. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1623. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1624. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1625. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 180. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 179. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 110. Dec 9 15:12: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 109. Dec 9 15:12: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1554. Dec 9 15:12: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1555. Dec 9 15:12: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1605. Dec 9 15:12: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1606. Dec 9 15:12: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1607. Dec 9 15:12: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 160. Dec 9 15:12: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 159. Dec 9 15:12: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 118. Dec 9 15:12: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 117. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1563. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1564. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1565. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1611. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1612. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1628. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1629. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1635. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1636. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1639. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1640. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1643. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1644. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1645. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1646. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1647. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 119. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 118. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 117. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 114. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 113. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 112. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 20. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 19. Dec 9 15:12: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 18. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1548. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1549. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1560. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1561. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1562. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1569. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1570. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1571. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1610. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1611. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1612. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 211. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 210. Dec 9 15:12: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 209. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1469. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1470. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1476. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1477. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1577. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1578. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1579. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 189. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 188. Dec 9 15:12: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 187. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1472. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1473. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1474. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1475. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1491. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1492. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1528. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1529. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1629. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1630. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1637. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1638. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1639. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 190. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 189. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 170. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 169. Dec 9 15:12: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 168. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1457. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1458. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1489. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1490. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1491. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 249. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 248. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 247. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 152. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 151. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 133. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 132. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 130. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 129. Dec 9 15:12: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 128. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1438. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1439. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1480. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1481. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1482. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 238. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 237. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 234. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 233. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 222. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 221. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 219. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 218. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 201. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 200. Dec 9 15:12: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 199. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1337. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1338. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1351. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1352. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1353. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1470. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1471. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1472. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1479. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1480. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1482. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1483. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1504. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1505. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1519. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1520. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1524. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1525. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1530. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1531. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1541. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1542. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1576. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1577. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1578. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1592. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1593. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1601. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1602. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1617. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1618. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1621. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1622. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1623. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1624. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1625. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 263. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 262. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 226. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 225. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 224. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 164. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 163. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 146. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 145. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 144. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 143. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 142. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 101. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 100. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 98. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 97. Dec 9 15:12: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 96. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1330. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1331. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1332. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 309. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 308. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 221. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 220. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 219. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 163. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 162. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 156. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 155. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 150. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 149. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 146. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 145. Dec 9 15:12: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 144. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1273. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1274. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1275. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1376. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1377. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1378. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1379. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1380. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1386. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1387. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1412. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1413. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1414. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 378. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 377. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 314. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 313. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 312. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 297. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 296. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 295. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 270. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 269. Dec 9 15:12: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 268. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1248. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1249. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1270. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1271. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1314. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1315. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1334. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1335. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1336. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 430. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 429. Dec 9 15:12: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 428. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 994. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 995. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 996. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1041. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1042. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1105. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1106. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1129. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1130. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1276. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1277. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1282. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1283. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1289. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1290. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1291. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1298. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1299. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1300. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1301. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1308. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1309. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1336. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1337. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1340. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1341. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1347. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1348. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1349. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1367. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1368. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1369. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 442. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 441. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 374. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 373. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 363. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 362. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 332. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 331. Dec 9 15:12: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 330. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 901. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 902. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 941. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 942. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 965. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 966. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 967. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 980. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 981. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 999. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1000. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1029. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1030. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1080. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1081. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1082. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 538. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 537. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 526. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 525. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 504. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 503. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 495. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 494. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 487. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 486. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 374. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 373. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 372. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 357. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 356. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 355. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 343. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 342. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 341. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 330. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 329. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 324. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 323. Dec 9 15:12: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 322. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 17.13 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... EchelleThAr.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... 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... 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... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0020.fits Magnify image EchelleThAr.0020.fits to image EchelleThAr.0020.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.0020.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0020.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0024.fits Magnify image EchelleThAr.0024.fits to image EchelleThAr.0024.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0024.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0024.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0027.fits Magnify image EchelleThAr.0027.fits to image EchelleThAr.0027.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.0027.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0027.fits updated Applying model apertures to the arc and extracting spectra... 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... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0032.fits Magnify image EchelleThAr.0032.fits to image EchelleThAr.0032.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0032.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0032.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0034.fits Magnify image EchelleThAr.0034.fits to image EchelleThAr.0034.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0034.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0034.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0038.fits Magnify image EchelleThAr.0038.fits to image EchelleThAr.0038.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0038.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0038.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0041.fits Magnify image EchelleThAr.0041.fits to image EchelleThAr.0041.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.0041.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0041.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 131005.0021 Magnify image 131005.0021 to image 131005.0021. 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 131005.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0021 -> noscat131005.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 131005.0022 Magnify image 131005.0022 to image 131005.0022. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 131005.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0022 -> noscat131005.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 131005.0023 Magnify image 131005.0023 to image 131005.0023. 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 131005.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0023 -> noscat131005.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:19: EXTRACT: WARNING - Aperture 113: Dec 9 15:19: Total variance weighted spectrum flux is 11398.36 Dec 9 15:19: Total unweighted spectrum flux is 5486.87 Dec 9 15:19: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4813737 Resampling the object by a factor of 4 in the y direction... 131005.0025 Magnify image 131005.0025 to image 131005.0025. 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 131005.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0025 -> noscat131005.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 131005.0026 Magnify image 131005.0026 to image 131005.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 131005.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0026 -> noscat131005.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:23: EXTRACT: WARNING - Aperture 113: Dec 9 15:23: Total variance weighted spectrum flux is 5427.674 Dec 9 15:23: Total unweighted spectrum flux is 2673.837 Dec 9 15:23: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4926303 Dec 9 15:23: EXTRACT: WARNING - Aperture 114: Dec 9 15:23: Total variance weighted spectrum flux is 6704.577 Dec 9 15:23: Total unweighted spectrum flux is 2181.084 Dec 9 15:23: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3253126 Resampling the object by a factor of 4 in the y direction... 131005.0028 Magnify image 131005.0028 to image 131005.0028. 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 131005.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0028 -> noscat131005.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:24: EXTRACT: WARNING - Aperture 105: Dec 9 15:24: Total variance weighted spectrum flux is 3319.754 Dec 9 15:24: Total unweighted spectrum flux is 207.6683 Dec 9 15:24: EXTRACT: Aperture 105 variance spectrum bias factor is 0.06255532 Dec 9 15:24: EXTRACT: WARNING - Aperture 108: Dec 9 15:24: Total variance weighted spectrum flux is 4107.886 Dec 9 15:24: Total unweighted spectrum flux is 1801.047 Dec 9 15:24: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4384364 Dec 9 15:24: EXTRACT: WARNING - Aperture 109: Dec 9 15:24: Total variance weighted spectrum flux is 7253.511 Dec 9 15:24: Total unweighted spectrum flux is 1474.485 Dec 9 15:24: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2032788 Dec 9 15:24: EXTRACT: WARNING - Aperture 110: Dec 9 15:24: Total variance weighted spectrum flux is 12030.92 Dec 9 15:24: Total unweighted spectrum flux is 5824.152 Dec 9 15:24: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4840988 Dec 9 15:24: EXTRACT: WARNING - Aperture 113: Dec 9 15:24: Total variance weighted spectrum flux is 3427.229 Dec 9 15:24: Total unweighted spectrum flux is -231.8697 Dec 9 15:24: Variance spectrum bias factor ignored Dec 9 15:24: EXTRACT: WARNING - Aperture 114: Dec 9 15:24: Total variance weighted spectrum flux is 5185.184 Dec 9 15:24: Total unweighted spectrum flux is 2170.038 Dec 9 15:24: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4185075 Dec 9 15:24: EXTRACT: WARNING - Aperture 115: Dec 9 15:24: Total variance weighted spectrum flux is 4975.208 Dec 9 15:24: Total unweighted spectrum flux is 2459.487 Dec 9 15:24: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4943485 Resampling the object by a factor of 4 in the y direction... 131005.0029 Magnify image 131005.0029 to image 131005.0029. 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 131005.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0029 -> noscat131005.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:25: EXTRACT: WARNING - Aperture 1: Dec 9 15:25: Total variance weighted spectrum flux is 3938.911 Dec 9 15:25: Total unweighted spectrum flux is 56.95468 Dec 9 15:25: EXTRACT: Aperture 1 variance spectrum bias factor is 0.0144595 Dec 9 15:26: EXTRACT: WARNING - Aperture 96: Dec 9 15:26: Total variance weighted spectrum flux is 7504.043 Dec 9 15:26: Total unweighted spectrum flux is 2725.474 Dec 9 15:26: EXTRACT: Aperture 96 variance spectrum bias factor is 0.3632007 Dec 9 15:26: EXTRACT: WARNING - Aperture 105: Dec 9 15:26: Total variance weighted spectrum flux is 6405.83 Dec 9 15:26: Total unweighted spectrum flux is -2212.966 Dec 9 15:26: Variance spectrum bias factor ignored Dec 9 15:26: EXTRACT: WARNING - Aperture 106: Dec 9 15:26: Total variance weighted spectrum flux is 12285.18 Dec 9 15:26: Total unweighted spectrum flux is 3183.668 Dec 9 15:26: EXTRACT: Aperture 106 variance spectrum bias factor is 0.259147 Dec 9 15:26: EXTRACT: WARNING - Aperture 107: Dec 9 15:26: Total variance weighted spectrum flux is 4549.158 Dec 9 15:26: Total unweighted spectrum flux is 1279.288 Dec 9 15:26: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2812141 Dec 9 15:26: EXTRACT: WARNING - Aperture 108: Dec 9 15:26: Total variance weighted spectrum flux is 3944.741 Dec 9 15:26: Total unweighted spectrum flux is 1071.387 Dec 9 15:26: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2715989 Dec 9 15:26: EXTRACT: WARNING - Aperture 109: Dec 9 15:26: Total variance weighted spectrum flux is 7913.93 Dec 9 15:26: Total unweighted spectrum flux is 2365.914 Dec 9 15:26: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2989557 Dec 9 15:26: EXTRACT: WARNING - Aperture 110: Dec 9 15:26: Total variance weighted spectrum flux is 9975.091 Dec 9 15:26: Total unweighted spectrum flux is 2813.625 Dec 9 15:26: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2820651 Dec 9 15:26: EXTRACT: WARNING - Aperture 111: Dec 9 15:26: Total variance weighted spectrum flux is 2029.927 Dec 9 15:26: Total unweighted spectrum flux is -381.169 Dec 9 15:26: Variance spectrum bias factor ignored Dec 9 15:26: EXTRACT: WARNING - Aperture 112: Dec 9 15:26: Total variance weighted spectrum flux is 8933.779 Dec 9 15:26: Total unweighted spectrum flux is 1792.729 Dec 9 15:26: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2006686 Dec 9 15:26: EXTRACT: WARNING - Aperture 113: Dec 9 15:26: Total variance weighted spectrum flux is 7854.454 Dec 9 15:26: Total unweighted spectrum flux is 2716.408 Dec 9 15:26: EXTRACT: Aperture 113 variance spectrum bias factor is 0.345843 Dec 9 15:26: EXTRACT: WARNING - Aperture 114: Dec 9 15:26: Total variance weighted spectrum flux is 4493.389 Dec 9 15:26: Total unweighted spectrum flux is 1052.154 Dec 9 15:26: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2341559 Dec 9 15:26: EXTRACT: WARNING - Aperture 115: Dec 9 15:26: Total variance weighted spectrum flux is 2789.419 Dec 9 15:26: Total unweighted spectrum flux is 681.9445 Dec 9 15:26: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2444755 Resampling the object by a factor of 4 in the y direction... 131005.0031 Magnify image 131005.0031 to image 131005.0031. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 131005.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0031 -> noscat131005.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:28: EXTRACT: WARNING - Aperture 115: Dec 9 15:28: Total variance weighted spectrum flux is 4156.617 Dec 9 15:28: Total unweighted spectrum flux is 2069.967 Dec 9 15:28: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4979932 Resampling the object by a factor of 4 in the y direction... 131005.0033 Magnify image 131005.0033 to image 131005.0033. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 131005.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0033 -> noscat131005.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:30: EXTRACT: WARNING - Aperture 108: Dec 9 15:30: Total variance weighted spectrum flux is 4751.371 Dec 9 15:30: Total unweighted spectrum flux is 1807.788 Dec 9 15:30: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3804771 Dec 9 15:30: EXTRACT: WARNING - Aperture 109: Dec 9 15:30: Total variance weighted spectrum flux is 7947.987 Dec 9 15:30: Total unweighted spectrum flux is 3487.65 Dec 9 15:30: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4388092 Dec 9 15:30: EXTRACT: WARNING - Aperture 113: Dec 9 15:30: Total variance weighted spectrum flux is 4898.368 Dec 9 15:30: Total unweighted spectrum flux is 2142.456 Dec 9 15:30: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4373817 Dec 9 15:30: EXTRACT: WARNING - Aperture 114: Dec 9 15:30: Total variance weighted spectrum flux is 3807.369 Dec 9 15:30: Total unweighted spectrum flux is -288.122 Dec 9 15:30: Variance spectrum bias factor ignored Dec 9 15:30: EXTRACT: WARNING - Aperture 115: Dec 9 15:30: Total variance weighted spectrum flux is 5622.288 Dec 9 15:30: Total unweighted spectrum flux is 2757.962 Dec 9 15:30: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4905408 Resampling the object by a factor of 4 in the y direction... 131005.0035 Magnify image 131005.0035 to image 131005.0035. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 131005.0035,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0035 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0035 -> noscat131005.0035 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:32: EXTRACT: WARNING - Aperture 106: Dec 9 15:32: Total variance weighted spectrum flux is 10673.57 Dec 9 15:32: Total unweighted spectrum flux is 1729.898 Dec 9 15:32: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1620731 Dec 9 15:32: EXTRACT: WARNING - Aperture 107: Dec 9 15:32: Total variance weighted spectrum flux is 11829.87 Dec 9 15:32: Total unweighted spectrum flux is 5090.379 Dec 9 15:32: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4302987 Dec 9 15:32: EXTRACT: WARNING - Aperture 108: Dec 9 15:32: Total variance weighted spectrum flux is 11156.96 Dec 9 15:32: Total unweighted spectrum flux is 3886.385 Dec 9 15:32: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3483373 Dec 9 15:32: EXTRACT: WARNING - Aperture 109: Dec 9 15:32: Total variance weighted spectrum flux is 6410.761 Dec 9 15:32: Total unweighted spectrum flux is 2597.181 Dec 9 15:32: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4051284 Dec 9 15:32: EXTRACT: WARNING - Aperture 110: Dec 9 15:32: Total variance weighted spectrum flux is 9569.153 Dec 9 15:32: Total unweighted spectrum flux is 1740.376 Dec 9 15:32: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1818736 Dec 9 15:32: EXTRACT: WARNING - Aperture 111: Dec 9 15:32: Total variance weighted spectrum flux is 7053.62 Dec 9 15:32: Total unweighted spectrum flux is -1153.131 Dec 9 15:32: Variance spectrum bias factor ignored Dec 9 15:32: EXTRACT: WARNING - Aperture 112: Dec 9 15:32: Total variance weighted spectrum flux is 6494.258 Dec 9 15:32: Total unweighted spectrum flux is 2464.886 Dec 9 15:32: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3795486 Dec 9 15:32: EXTRACT: WARNING - Aperture 113: Dec 9 15:32: Total variance weighted spectrum flux is 2646.65 Dec 9 15:32: Total unweighted spectrum flux is 436.0087 Dec 9 15:32: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1647398 Dec 9 15:32: EXTRACT: WARNING - Aperture 114: Dec 9 15:32: Total variance weighted spectrum flux is 6999.518 Dec 9 15:32: Total unweighted spectrum flux is 1015.516 Dec 9 15:32: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1450837 Dec 9 15:32: EXTRACT: WARNING - Aperture 115: Dec 9 15:32: Total variance weighted spectrum flux is 6363.415 Dec 9 15:32: Total unweighted spectrum flux is 49.85607 Dec 9 15:32: EXTRACT: Aperture 115 variance spectrum bias factor is 0.007834799 Resampling the object by a factor of 4 in the y direction... 131005.0036 Magnify image 131005.0036 to image 131005.0036. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 131005.0036,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0036 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0036 -> noscat131005.0036 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:34: EXTRACT: WARNING - Aperture 106: Dec 9 15:34: Total variance weighted spectrum flux is 3681.788 Dec 9 15:34: Total unweighted spectrum flux is 283.2506 Dec 9 15:34: EXTRACT: Aperture 106 variance spectrum bias factor is 0.07693288 Dec 9 15:34: EXTRACT: WARNING - Aperture 108: Dec 9 15:34: Total variance weighted spectrum flux is 5947.124 Dec 9 15:34: Total unweighted spectrum flux is 2052.476 Dec 9 15:34: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3451208 Dec 9 15:34: EXTRACT: WARNING - Aperture 109: Dec 9 15:34: Total variance weighted spectrum flux is 5883.339 Dec 9 15:34: Total unweighted spectrum flux is -729.732 Dec 9 15:34: Variance spectrum bias factor ignored Dec 9 15:34: EXTRACT: WARNING - Aperture 110: Dec 9 15:34: Total variance weighted spectrum flux is -64.18024 Dec 9 15:34: Total unweighted spectrum flux is 137.2968 Dec 9 15:34: Variance spectrum bias factor ignored Dec 9 15:34: EXTRACT: WARNING - Aperture 111: Dec 9 15:34: Total variance weighted spectrum flux is 5486.851 Dec 9 15:34: Total unweighted spectrum flux is -1615.088 Dec 9 15:34: Variance spectrum bias factor ignored Dec 9 15:34: EXTRACT: WARNING - Aperture 112: Dec 9 15:34: Total variance weighted spectrum flux is 6648.318 Dec 9 15:34: Total unweighted spectrum flux is 2514.186 Dec 9 15:34: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3781687 Dec 9 15:34: EXTRACT: WARNING - Aperture 113: Dec 9 15:34: Total variance weighted spectrum flux is 7785.511 Dec 9 15:34: Total unweighted spectrum flux is 2890.185 Dec 9 15:34: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3712261 Dec 9 15:34: EXTRACT: WARNING - Aperture 114: Dec 9 15:34: Total variance weighted spectrum flux is 2616.953 Dec 9 15:34: Total unweighted spectrum flux is 521.3997 Dec 9 15:34: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1992392 Dec 9 15:34: EXTRACT: WARNING - Aperture 115: Dec 9 15:34: Total variance weighted spectrum flux is 3298.687 Dec 9 15:34: Total unweighted spectrum flux is 1200.158 Dec 9 15:34: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3638291 Resampling the object by a factor of 4 in the y direction... 131005.0037 Magnify image 131005.0037 to image 131005.0037. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 131005.0037,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0037 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0037 -> noscat131005.0037 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:35: EXTRACT: WARNING - Aperture 107: Dec 9 15:35: Total variance weighted spectrum flux is 3398.735 Dec 9 15:35: Total unweighted spectrum flux is -98.20673 Dec 9 15:35: Variance spectrum bias factor ignored Dec 9 15:35: EXTRACT: WARNING - Aperture 108: Dec 9 15:35: Total variance weighted spectrum flux is 5687.416 Dec 9 15:35: Total unweighted spectrum flux is -1340.44 Dec 9 15:35: Variance spectrum bias factor ignored Dec 9 15:35: EXTRACT: WARNING - Aperture 109: Dec 9 15:35: Total variance weighted spectrum flux is 5558.969 Dec 9 15:35: Total unweighted spectrum flux is -534.4586 Dec 9 15:35: Variance spectrum bias factor ignored Dec 9 15:35: EXTRACT: WARNING - Aperture 110: Dec 9 15:35: Total variance weighted spectrum flux is 6476.202 Dec 9 15:35: Total unweighted spectrum flux is 856.9629 Dec 9 15:35: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1323249 Dec 9 15:35: EXTRACT: WARNING - Aperture 111: Dec 9 15:35: Total variance weighted spectrum flux is 12103.33 Dec 9 15:35: Total unweighted spectrum flux is 4556.315 Dec 9 15:35: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3764512 Dec 9 15:35: EXTRACT: WARNING - Aperture 112: Dec 9 15:35: Total variance weighted spectrum flux is 7132.086 Dec 9 15:35: Total unweighted spectrum flux is 2283.184 Dec 9 15:35: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3201285 Dec 9 15:35: EXTRACT: WARNING - Aperture 113: Dec 9 15:35: Total variance weighted spectrum flux is 4397.03 Dec 9 15:35: Total unweighted spectrum flux is 615.6097 Dec 9 15:35: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1400058 Dec 9 15:35: EXTRACT: WARNING - Aperture 114: Dec 9 15:35: Total variance weighted spectrum flux is 4359.455 Dec 9 15:35: Total unweighted spectrum flux is 992.3902 Dec 9 15:35: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2276409 Dec 9 15:35: EXTRACT: WARNING - Aperture 115: Dec 9 15:35: Total variance weighted spectrum flux is 4371.698 Dec 9 15:35: Total unweighted spectrum flux is -421.3627 Dec 9 15:35: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 131005.0039 Magnify image 131005.0039 to image 131005.0039. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 131005.0039,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0039 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0039 -> noscat131005.0039 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:37: EXTRACT: WARNING - Aperture 100: Dec 9 15:37: Total variance weighted spectrum flux is 15860.62 Dec 9 15:37: Total unweighted spectrum flux is 7554.739 Dec 9 15:37: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4763207 Dec 9 15:37: EXTRACT: WARNING - Aperture 101: Dec 9 15:37: Total variance weighted spectrum flux is 11792.81 Dec 9 15:37: Total unweighted spectrum flux is 5433.021 Dec 9 15:37: EXTRACT: Aperture 101 variance spectrum bias factor is 0.4607064 Dec 9 15:37: EXTRACT: WARNING - Aperture 103: Dec 9 15:37: Total variance weighted spectrum flux is 5090.077 Dec 9 15:37: Total unweighted spectrum flux is 2190.815 Dec 9 15:37: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4304089 Dec 9 15:37: EXTRACT: WARNING - Aperture 104: Dec 9 15:37: Total variance weighted spectrum flux is 8607.162 Dec 9 15:37: Total unweighted spectrum flux is 1619.52 Dec 9 15:37: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1881596 Dec 9 15:37: EXTRACT: WARNING - Aperture 105: Dec 9 15:37: Total variance weighted spectrum flux is 5698.116 Dec 9 15:37: Total unweighted spectrum flux is 678.8729 Dec 9 15:37: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1191399 Dec 9 15:37: EXTRACT: WARNING - Aperture 106: Dec 9 15:37: Total variance weighted spectrum flux is 8513.954 Dec 9 15:37: Total unweighted spectrum flux is -519.4317 Dec 9 15:37: Variance spectrum bias factor ignored Dec 9 15:37: EXTRACT: WARNING - Aperture 107: Dec 9 15:37: Total variance weighted spectrum flux is 15252.44 Dec 9 15:37: Total unweighted spectrum flux is 2837.087 Dec 9 15:37: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1860088 Dec 9 15:37: EXTRACT: WARNING - Aperture 108: Dec 9 15:37: Total variance weighted spectrum flux is 4579.325 Dec 9 15:37: Total unweighted spectrum flux is 796.1078 Dec 9 15:37: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1738483 Dec 9 15:37: EXTRACT: WARNING - Aperture 109: Dec 9 15:37: Total variance weighted spectrum flux is 5050.953 Dec 9 15:37: Total unweighted spectrum flux is -0.8418598 Dec 9 15:37: Variance spectrum bias factor ignored Dec 9 15:37: EXTRACT: WARNING - Aperture 110: Dec 9 15:37: Total variance weighted spectrum flux is 6033.559 Dec 9 15:37: Total unweighted spectrum flux is 81.04287 Dec 9 15:37: EXTRACT: Aperture 110 variance spectrum bias factor is 0.01343202 Dec 9 15:37: EXTRACT: WARNING - Aperture 111: Dec 9 15:37: Total variance weighted spectrum flux is 2201.241 Dec 9 15:37: Total unweighted spectrum flux is 295.8496 Dec 9 15:37: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1344012 Dec 9 15:37: EXTRACT: WARNING - Aperture 112: Dec 9 15:37: Total variance weighted spectrum flux is 4525.205 Dec 9 15:37: Total unweighted spectrum flux is 844.7261 Dec 9 15:37: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1866713 Dec 9 15:37: EXTRACT: WARNING - Aperture 113: Dec 9 15:37: Total variance weighted spectrum flux is 8561.396 Dec 9 15:37: Total unweighted spectrum flux is -652.0101 Dec 9 15:37: Variance spectrum bias factor ignored Dec 9 15:37: EXTRACT: WARNING - Aperture 114: Dec 9 15:37: Total variance weighted spectrum flux is 4980.03 Dec 9 15:37: Total unweighted spectrum flux is -299.886 Dec 9 15:37: Variance spectrum bias factor ignored Dec 9 15:37: EXTRACT: WARNING - Aperture 115: Dec 9 15:37: Total variance weighted spectrum flux is 3033.035 Dec 9 15:37: Total unweighted spectrum flux is 1432.295 Dec 9 15:37: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4722317 Resampling the object by a factor of 4 in the y direction... 131005.0040 Magnify image 131005.0040 to image 131005.0040. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 131005.0040,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 131005.0040 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 131005.0040 -> noscat131005.0040 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 9 15:38: EXTRACT: WARNING - Aperture 1: Dec 9 15:38: Total variance weighted spectrum flux is 5646.472 Dec 9 15:38: Total unweighted spectrum flux is 1777.244 Dec 9 15:38: EXTRACT: Aperture 1 variance spectrum bias factor is 0.314753 Dec 9 15:39: EXTRACT: WARNING - Aperture 90: Dec 9 15:39: Total variance weighted spectrum flux is 13348.69 Dec 9 15:39: Total unweighted spectrum flux is 6365.417 Dec 9 15:39: EXTRACT: Aperture 90 variance spectrum bias factor is 0.4768572 Dec 9 15:39: EXTRACT: WARNING - Aperture 91: Dec 9 15:39: Total variance weighted spectrum flux is 11852.98 Dec 9 15:39: Total unweighted spectrum flux is 3802.28 Dec 9 15:39: EXTRACT: Aperture 91 variance spectrum bias factor is 0.3207869 Dec 9 15:39: EXTRACT: WARNING - Aperture 92: Dec 9 15:39: Total variance weighted spectrum flux is 7283.978 Dec 9 15:39: Total unweighted spectrum flux is 3142.875 Dec 9 15:39: EXTRACT: Aperture 92 variance spectrum bias factor is 0.4314778 Dec 9 15:39: EXTRACT: WARNING - Aperture 93: Dec 9 15:39: Total variance weighted spectrum flux is 8418.938 Dec 9 15:39: Total unweighted spectrum flux is 1647.726 Dec 9 15:39: EXTRACT: Aperture 93 variance spectrum bias factor is 0.1957167 Dec 9 15:39: EXTRACT: WARNING - Aperture 94: Dec 9 15:39: Total variance weighted spectrum flux is 11680.46 Dec 9 15:39: Total unweighted spectrum flux is 2838.77 Dec 9 15:39: EXTRACT: Aperture 94 variance spectrum bias factor is 0.2430359 Dec 9 15:39: EXTRACT: WARNING - Aperture 95: Dec 9 15:39: Total variance weighted spectrum flux is 8033.564 Dec 9 15:39: Total unweighted spectrum flux is 764.3988 Dec 9 15:39: EXTRACT: Aperture 95 variance spectrum bias factor is 0.09515064 Dec 9 15:39: EXTRACT: WARNING - Aperture 96: Dec 9 15:39: Total variance weighted spectrum flux is 5646.314 Dec 9 15:39: Total unweighted spectrum flux is 546.1459 Dec 9 15:39: EXTRACT: Aperture 96 variance spectrum bias factor is 0.09672609 Dec 9 15:39: EXTRACT: WARNING - Aperture 97: Dec 9 15:39: Total variance weighted spectrum flux is 10486.87 Dec 9 15:39: Total unweighted spectrum flux is 2154.587 Dec 9 15:39: EXTRACT: Aperture 97 variance spectrum bias factor is 0.2054558 Dec 9 15:39: EXTRACT: WARNING - Aperture 98: Dec 9 15:39: Total variance weighted spectrum flux is 5614.384 Dec 9 15:39: Total unweighted spectrum flux is 532.4963 Dec 9 15:39: EXTRACT: Aperture 98 variance spectrum bias factor is 0.09484502 Dec 9 15:39: EXTRACT: WARNING - Aperture 99: Dec 9 15:39: Total variance weighted spectrum flux is 5643.868 Dec 9 15:39: Total unweighted spectrum flux is 533.4603 Dec 9 15:39: EXTRACT: Aperture 99 variance spectrum bias factor is 0.09452033 Dec 9 15:39: EXTRACT: WARNING - Aperture 100: Dec 9 15:39: Total variance weighted spectrum flux is 5719.218 Dec 9 15:39: Total unweighted spectrum flux is -530.7773 Dec 9 15:39: Variance spectrum bias factor ignored Dec 9 15:39: EXTRACT: WARNING - Aperture 101: Dec 9 15:39: Total variance weighted spectrum flux is 3664.661 Dec 9 15:39: Total unweighted spectrum flux is -223.3342 Dec 9 15:39: Variance spectrum bias factor ignored Dec 9 15:39: EXTRACT: WARNING - Aperture 102: Dec 9 15:39: Total variance weighted spectrum flux is 5160.664 Dec 9 15:39: Total unweighted spectrum flux is -174.7093 Dec 9 15:39: Variance spectrum bias factor ignored Dec 9 15:39: EXTRACT: WARNING - Aperture 103: Dec 9 15:39: Total variance weighted spectrum flux is 10046.89 Dec 9 15:39: Total unweighted spectrum flux is 701.0846 Dec 9 15:39: EXTRACT: Aperture 103 variance spectrum bias factor is 0.06978126 Dec 9 15:39: EXTRACT: WARNING - Aperture 104: Dec 9 15:39: Total variance weighted spectrum flux is 4165.654 Dec 9 15:39: Total unweighted spectrum flux is 685.7451 Dec 9 15:39: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1646188 Dec 9 15:39: EXTRACT: WARNING - Aperture 105: Dec 9 15:39: Total variance weighted spectrum flux is 7765.385 Dec 9 15:39: Total unweighted spectrum flux is -1162.972 Dec 9 15:39: Variance spectrum bias factor ignored Dec 9 15:39: EXTRACT: WARNING - Aperture 106: Dec 9 15:39: Total variance weighted spectrum flux is 3841.153 Dec 9 15:39: Total unweighted spectrum flux is 935.0806 Dec 9 15:39: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2434375 Dec 9 15:39: EXTRACT: WARNING - Aperture 107: Dec 9 15:39: Total variance weighted spectrum flux is 6769.715 Dec 9 15:39: Total unweighted spectrum flux is 1443.715 Dec 9 15:39: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2132609 Dec 9 15:39: EXTRACT: WARNING - Aperture 108: Dec 9 15:39: Total variance weighted spectrum flux is 2990.909 Dec 9 15:39: Total unweighted spectrum flux is 126.8081 Dec 9 15:39: EXTRACT: Aperture 108 variance spectrum bias factor is 0.04239784 Dec 9 15:39: EXTRACT: WARNING - Aperture 109: Dec 9 15:39: Total variance weighted spectrum flux is 4840.327 Dec 9 15:39: Total unweighted spectrum flux is 505.0997 Dec 9 15:39: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1043524 Dec 9 15:39: EXTRACT: WARNING - Aperture 110: Dec 9 15:39: Total variance weighted spectrum flux is 3891.887 Dec 9 15:39: Total unweighted spectrum flux is -362.7882 Dec 9 15:39: Variance spectrum bias factor ignored Dec 9 15:39: EXTRACT: WARNING - Aperture 111: Dec 9 15:39: Total variance weighted spectrum flux is 5624.088 Dec 9 15:39: Total unweighted spectrum flux is 841.0862 Dec 9 15:39: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1495507 Dec 9 15:39: EXTRACT: WARNING - Aperture 112: Dec 9 15:39: Total variance weighted spectrum flux is 4732.616 Dec 9 15:39: Total unweighted spectrum flux is 1508.281 Dec 9 15:39: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3186993 Dec 9 15:39: EXTRACT: WARNING - Aperture 113: Dec 9 15:39: Total variance weighted spectrum flux is 7949.176 Dec 9 15:39: Total unweighted spectrum flux is 1795.648 Dec 9 15:39: EXTRACT: Aperture 113 variance spectrum bias factor is 0.225891 Dec 9 15:39: EXTRACT: WARNING - Aperture 114: Dec 9 15:39: Total variance weighted spectrum flux is 8943.785 Dec 9 15:39: Total unweighted spectrum flux is 344.6015 Dec 9 15:39: EXTRACT: Aperture 114 variance spectrum bias factor is 0.03852972 Dec 9 15:39: EXTRACT: WARNING - Aperture 115: Dec 9 15:39: Total variance weighted spectrum flux is 2965.495 Dec 9 15:39: Total unweighted spectrum flux is 793.7723 Dec 9 15:39: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2676694 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.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.ec.fits updated add EchelleThAr.0024.ec.fits,REFSPEC1 = EchelleThAr.0024.ec.fits EchelleThAr.0024.ec.fits updated add EchelleThAr.0027.ec.fits,REFSPEC1 = EchelleThAr.0027.ec.fits EchelleThAr.0027.ec.fits updated add EchelleThAr.0030.ec.fits,REFSPEC1 = EchelleThAr.0030.ec.fits EchelleThAr.0030.ec.fits updated add EchelleThAr.0032.ec.fits,REFSPEC1 = EchelleThAr.0032.ec.fits EchelleThAr.0032.ec.fits updated add EchelleThAr.0034.ec.fits,REFSPEC1 = EchelleThAr.0034.ec.fits EchelleThAr.0034.ec.fits updated add EchelleThAr.0038.ec.fits,REFSPEC1 = EchelleThAr.0038.ec.fits EchelleThAr.0038.ec.fits updated add EchelleThAr.0041.ec.fits,REFSPEC1 = EchelleThAr.0041.ec.fits EchelleThAr.0041.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0017.ec.fits,UTMIDDLE = 0 EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 0 -> 01:10:01.110005 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 01:12:52.318207 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 01:15:54.509224 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 01:18:57.326691 EchelleThAr.0020.ec.fits updated add EchelleThAr.0024.ec.fits,UTMIDDLE = 0 EchelleThAr.0024.ec.fits updated EchelleThAr.0024.ec.fits,UTMIDDLE: 0 -> 02:18:16.524146 EchelleThAr.0024.ec.fits updated add EchelleThAr.0027.ec.fits,UTMIDDLE = 0 EchelleThAr.0027.ec.fits updated EchelleThAr.0027.ec.fits,UTMIDDLE: 0 -> 03:02:31.005194 EchelleThAr.0027.ec.fits updated add EchelleThAr.0030.ec.fits,UTMIDDLE = 0 EchelleThAr.0030.ec.fits updated EchelleThAr.0030.ec.fits,UTMIDDLE: 0 -> 03:56:39.845196 EchelleThAr.0030.ec.fits updated add EchelleThAr.0032.ec.fits,UTMIDDLE = 0 EchelleThAr.0032.ec.fits updated EchelleThAr.0032.ec.fits,UTMIDDLE: 0 -> 04:32:36.748194 EchelleThAr.0032.ec.fits updated add EchelleThAr.0034.ec.fits,UTMIDDLE = 0 EchelleThAr.0034.ec.fits updated EchelleThAr.0034.ec.fits,UTMIDDLE: 0 -> 05:15:20.718214 EchelleThAr.0034.ec.fits updated add EchelleThAr.0038.ec.fits,UTMIDDLE = 0 EchelleThAr.0038.ec.fits updated EchelleThAr.0038.ec.fits,UTMIDDLE: 0 -> 06:08:33.694170 EchelleThAr.0038.ec.fits updated add EchelleThAr.0041.ec.fits,UTMIDDLE = 0 EchelleThAr.0041.ec.fits updated EchelleThAr.0041.ec.fits,UTMIDDLE: 0 -> 06:59:39.092187 EchelleThAr.0041.ec.fits updated add 131005.0021.ec.fits,UTMIDDLE = 0 131005.0021.ec.fits updated 131005.0021.ec.fits,UTMIDDLE: 0 -> 01:34:37.192580 131005.0021.ec.fits updated add 131005.0022.ec.fits,UTMIDDLE = 0 131005.0022.ec.fits updated 131005.0022.ec.fits,UTMIDDLE: 0 -> 01:49:41.084661 131005.0022.ec.fits updated add 131005.0023.ec.fits,UTMIDDLE = 0 131005.0023.ec.fits updated 131005.0023.ec.fits,UTMIDDLE: 0 -> 02:07:20.213690 131005.0023.ec.fits updated add 131005.0025.ec.fits,UTMIDDLE = 0 131005.0025.ec.fits updated 131005.0025.ec.fits,UTMIDDLE: 0 -> 02:29:15.255711 131005.0025.ec.fits updated add 131005.0026.ec.fits,UTMIDDLE = 0 131005.0026.ec.fits updated 131005.0026.ec.fits,UTMIDDLE: 0 -> 02:49:36.352313 131005.0026.ec.fits updated add 131005.0028.ec.fits,UTMIDDLE = 0 131005.0028.ec.fits updated 131005.0028.ec.fits,UTMIDDLE: 0 -> 03:15:37.189814 131005.0028.ec.fits updated add 131005.0029.ec.fits,UTMIDDLE = 0 131005.0029.ec.fits updated 131005.0029.ec.fits,UTMIDDLE: 0 -> 03:41:05.661441 131005.0029.ec.fits updated add 131005.0031.ec.fits,UTMIDDLE = 0 131005.0031.ec.fits updated 131005.0031.ec.fits,UTMIDDLE: 0 -> 04:14:41.848539 131005.0031.ec.fits updated add 131005.0033.ec.fits,UTMIDDLE = 0 131005.0033.ec.fits updated 131005.0033.ec.fits,UTMIDDLE: 0 -> 04:54:10.855656 131005.0033.ec.fits updated add 131005.0035.ec.fits,UTMIDDLE = 0 131005.0035.ec.fits updated 131005.0035.ec.fits,UTMIDDLE: 0 -> 05:27:11.428174 131005.0035.ec.fits updated add 131005.0036.ec.fits,UTMIDDLE = 0 131005.0036.ec.fits updated 131005.0036.ec.fits,UTMIDDLE: 0 -> 05:45:07.486209 131005.0036.ec.fits updated add 131005.0037.ec.fits,UTMIDDLE = 0 131005.0037.ec.fits updated 131005.0037.ec.fits,UTMIDDLE: 0 -> 06:00:28.876594 131005.0037.ec.fits updated add 131005.0039.ec.fits,UTMIDDLE = 0 131005.0039.ec.fits updated 131005.0039.ec.fits,UTMIDDLE: 0 -> 06:19:48.925160 131005.0039.ec.fits updated add 131005.0040.ec.fits,UTMIDDLE = 0 131005.0040.ec.fits updated 131005.0040.ec.fits,UTMIDDLE: 0 -> 06:44:06.808846 131005.0040.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 131005.0021.ec.fits 2456570.56571 2456570.56647 2456570 131005.0022.ec.fits 2456570.57617 2456570.57772 2456570 131005.0023.ec.fits 2456570.58843 2456570.59014 2456570 131005.0025.ec.fits 2456570.60365 2456570.60509 2456570 131005.0026.ec.fits 2456570.61778 2456570.61878 2456570 131005.0028.ec.fits 2456570.63585 2456570.63682 2456570 131005.0029.ec.fits 2456570.65354 2456570.65459 2456570 131005.0031.ec.fits 2456570.67687 2456570.67850 2456570 131005.0033.ec.fits 2456570.70429 2456570.70561 2456570 131005.0035.ec.fits 2456570.72722 2456570.72842 2456570 131005.0036.ec.fits 2456570.73967 2456570.74111 2456570 131005.0037.ec.fits 2456570.75033 2456570.75142 2456570 131005.0039.ec.fits 2456570.76376 2456570.76546 2456570 131005.0040.ec.fits 2456570.78063 2456570.78168 2456570 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Mon 15:39:41 09-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1063/2055 1063/1063 -0.0268 0.196 3.45E-7 0.0132 EchelleThAr.0018.ec 2053/2055 2053/2053 3.99E-5 -2.67E-4 -5.E-10 0.00584 EchelleThAr.0019.ec 2016/2055 2016/2016 0.0342 -0.251 -4.4E-7 0.00863 EchelleThAr.0020.ec 2012/2055 2012/2012 0.0589 -0.433 -7.6E-7 0.00963 EchelleThAr.0024.ec 1993/2055 1993/1993 0.163 -1.19 -2.1E-6 0.00953 EchelleThAr.0027.ec 1988/2055 1988/1988 -0.202 1.49 2.63E-6 0.00933 EchelleThAr.0030.ec 1944/2055 1944/1944 -0.398 2.93 5.18E-6 0.00895 EchelleThAr.0032.ec 1958/2055 1958/1958 -0.487 3.59 6.33E-6 0.00948 EchelleThAr.0034.ec 1946/2055 1946/1946 -0.481 3.54 6.25E-6 0.00967 EchelleThAr.0038.ec 1951/2055 1951/1951 -0.569 4.19 7.40E-6 0.0106 EchelleThAr.0041.ec 1959/2055 1959/1959 -0.519 3.83 6.76E-6 0.01 [131005.0021.ec] refspec1='EchelleThAr.0020.ec 0.73593318' [131005.0021.ec] refspec2='EchelleThAr.0024.ec 0.26406682' [131005.0022.ec] refspec1='EchelleThAr.0020.ec 0.48197368' [131005.0022.ec] refspec2='EchelleThAr.0024.ec 0.51802635' [131005.0023.ec] refspec1='EchelleThAr.0020.ec 0.18439844' [131005.0023.ec] refspec2='EchelleThAr.0024.ec 0.81560159' [131005.0025.ec] refspec1='EchelleThAr.0024.ec 0.75184166' [131005.0025.ec] refspec2='EchelleThAr.0027.ec 0.24815832' [131005.0026.ec] refspec1='EchelleThAr.0024.ec 0.29182836' [131005.0026.ec] refspec2='EchelleThAr.0027.ec 0.70817161' [131005.0028.ec] refspec1='EchelleThAr.0027.ec 0.75801069' [131005.0028.ec] refspec2='EchelleThAr.0030.ec 0.24198933' [131005.0029.ec] refspec1='EchelleThAr.0027.ec 0.28754377' [131005.0029.ec] refspec2='EchelleThAr.0030.ec 0.71245623' [131005.0031.ec] refspec1='EchelleThAr.0030.ec 0.49835327' [131005.0031.ec] refspec2='EchelleThAr.0032.ec 0.50164676' [131005.0033.ec] refspec1='EchelleThAr.0032.ec 0.49527201' [131005.0033.ec] refspec2='EchelleThAr.0034.ec 0.50472802' [131005.0035.ec] refspec1='EchelleThAr.0034.ec 0.77741456' [131005.0035.ec] refspec2='EchelleThAr.0038.ec 0.22258544' [131005.0036.ec] refspec1='EchelleThAr.0034.ec 0.44040668' [131005.0036.ec] refspec2='EchelleThAr.0038.ec 0.55959332' [131005.0037.ec] refspec1='EchelleThAr.0034.ec 0.15183878' [131005.0037.ec] refspec2='EchelleThAr.0038.ec 0.84816122' [131005.0039.ec] refspec1='EchelleThAr.0038.ec 0.77972484' [131005.0039.ec] refspec2='EchelleThAr.0041.ec 0.22027515' [131005.0040.ec] refspec1='EchelleThAr.0038.ec 0.30413124' [131005.0040.ec] refspec2='EchelleThAr.0041.ec 0.69586873' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0019.ec] refspec1='EchelleThAr.0019.ec' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0024.ec] refspec1='EchelleThAr.0024.ec' [EchelleThAr.0027.ec] refspec1='EchelleThAr.0027.ec' [EchelleThAr.0030.ec] refspec1='EchelleThAr.0030.ec' [EchelleThAr.0032.ec] refspec1='EchelleThAr.0032.ec' [EchelleThAr.0034.ec] refspec1='EchelleThAr.0034.ec' [EchelleThAr.0038.ec] refspec1='EchelleThAr.0038.ec' [EchelleThAr.0041.ec] refspec1='EchelleThAr.0041.ec' 131005.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.73593318' 131005.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.26406682' 131005.0021.ec.fits: ap = 1, w1 = 10811.75, w2 = 10583.6, dw = -0.13827, nw = 1651 131005.0021.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.63, dw = -0.13571, nw = 1651 131005.0021.ec.fits: ap = 3, w1 = 10418.63, w2 = 10198.78, dw = -0.13324, nw = 1651 131005.0021.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.68, dw = -0.13086, nw = 1651 131005.0021.ec.fits: ap = 5, w1 = 10053.09, w2 = 9840.963, dw = -0.12856, nw = 1651 131005.0021.ec.fits: ap = 6, w1 = 9879.778, w2 = 9671.307, dw = -0.12635, nw = 1651 131005.0021.ec.fits: ap = 7, w1 = 9712.338, w2 = 9507.402, dw = -0.1242, nw = 1651 131005.0021.ec.fits: ap = 8, w1 = 9550.479, w2 = 9348.961, dw = -0.12213, nw = 1651 131005.0021.ec.fits: ap = 9, w1 = 9393.927, w2 = 9195.714, dw = -0.12013, nw = 1651 131005.0021.ec.fits: ap = 10, w1 = 9242.425, w2 = 9047.411, dw = -0.11819, nw = 1651 131005.0021.ec.fits: ap = 11, w1 = 9095.732, w2 = 8903.815, dw = -0.11631, nw = 1651 131005.0021.ec.fits: ap = 12, w1 = 8953.623, w2 = 8764.707, dw = -0.11449, nw = 1651 131005.0021.ec.fits: ap = 13, w1 = 8815.887, w2 = 8629.879, dw = -0.11273, nw = 1651 131005.0021.ec.fits: ap = 14, w1 = 8682.325, w2 = 8499.136, dw = -0.11102, nw = 1651 131005.0021.ec.fits: ap = 15, w1 = 8552.749, w2 = 8372.296, dw = -0.10937, nw = 1651 131005.0021.ec.fits: ap = 16, w1 = 8426.984, w2 = 8249.187, dw = -0.10776, nw = 1651 131005.0021.ec.fits: ap = 17, w1 = 8304.865, w2 = 8129.646, dw = -0.10619, nw = 1651 131005.0021.ec.fits: ap = 18, w1 = 8186.234, w2 = 8013.521, dw = -0.10467, nw = 1651 131005.0021.ec.fits: ap = 19, w1 = 8070.946, w2 = 7900.666, dw = -0.1032, nw = 1651 131005.0021.ec.fits: ap = 20, w1 = 7958.859, w2 = 7790.947, dw = -0.10177, nw = 1651 131005.0021.ec.fits: ap = 21, w1 = 7849.844, w2 = 7684.233, dw = -0.10037, nw = 1651 131005.0021.ec.fits: ap = 22, w1 = 7743.774, w2 = 7580.404, dw = -0.09901, nw = 1651 131005.0021.ec.fits: ap = 23, w1 = 7640.534, w2 = 7479.343, dw = -0.09769, nw = 1651 131005.0021.ec.fits: ap = 24, w1 = 7540.01, w2 = 7380.942, dw = -0.0964, nw = 1651 131005.0021.ec.fits: ap = 25, w1 = 7442.097, w2 = 7285.097, dw = -0.09515, nw = 1651 131005.0021.ec.fits: ap = 26, w1 = 7346.695, w2 = 7191.709, dw = -0.09393, nw = 1651 131005.0021.ec.fits: ap = 27, w1 = 7253.707, w2 = 7100.686, dw = -0.09274, nw = 1651 131005.0021.ec.fits: ap = 28, w1 = 7163.045, w2 = 7011.938, dw = -0.09158, nw = 1651 131005.0021.ec.fits: ap = 29, w1 = 7074.621, w2 = 6925.382, dw = -0.09045, nw = 1651 131005.0021.ec.fits: ap = 30, w1 = 6988.354, w2 = 6840.936, dw = -0.08934, nw = 1651 131005.0021.ec.fits: ap = 31, w1 = 6904.166, w2 = 6758.526, dw = -0.08827, nw = 1651 131005.0021.ec.fits: ap = 32, w1 = 6821.982, w2 = 6678.078, dw = -0.08721, nw = 1651 131005.0021.ec.fits: ap = 33, w1 = 6741.732, w2 = 6599.523, dw = -0.08619, nw = 1651 131005.0021.ec.fits: ap = 34, w1 = 6663.348, w2 = 6522.794, dw = -0.08518, nw = 1651 131005.0021.ec.fits: ap = 35, w1 = 6586.766, w2 = 6447.83, dw = -0.0842, nw = 1651 131005.0021.ec.fits: ap = 36, w1 = 6511.924, w2 = 6374.57, dw = -0.08325, nw = 1651 131005.0021.ec.fits: ap = 37, w1 = 6438.765, w2 = 6302.955, dw = -0.08231, nw = 1651 131005.0021.ec.fits: ap = 38, w1 = 6367.231, w2 = 6232.933, dw = -0.08139, nw = 1651 131005.0021.ec.fits: ap = 39, w1 = 6297.27, w2 = 6164.449, dw = -0.0805, nw = 1651 131005.0021.ec.fits: ap = 40, w1 = 6228.829, w2 = 6097.454, dw = -0.07962, nw = 1651 131005.0021.ec.fits: ap = 41, w1 = 6161.861, w2 = 6031.9, dw = -0.07876, nw = 1651 131005.0021.ec.fits: ap = 42, w1 = 6096.317, w2 = 5967.741, dw = -0.07792, nw = 1651 131005.0021.ec.fits: ap = 43, w1 = 6032.153, w2 = 5904.933, dw = -0.0771, nw = 1651 131005.0021.ec.fits: ap = 44, w1 = 5969.326, w2 = 5843.433, dw = -0.0763, nw = 1651 131005.0021.ec.fits: ap = 45, w1 = 5907.795, w2 = 5783.202, dw = -0.07551, nw = 1651 131005.0021.ec.fits: ap = 46, w1 = 5847.519, w2 = 5724.2, dw = -0.07474, nw = 1651 131005.0021.ec.fits: ap = 47, w1 = 5788.461, w2 = 5666.389, dw = -0.07398, nw = 1651 131005.0021.ec.fits: ap = 48, w1 = 5730.584, w2 = 5609.735, dw = -0.07324, nw = 1651 131005.0021.ec.fits: ap = 49, w1 = 5673.854, w2 = 5554.203, dw = -0.07252, nw = 1651 131005.0021.ec.fits: ap = 50, w1 = 5618.235, w2 = 5499.76, dw = -0.0718, nw = 1651 131005.0021.ec.fits: ap = 51, w1 = 5563.697, w2 = 5446.375, dw = -0.0711, nw = 1651 131005.0021.ec.fits: ap = 52, w1 = 5510.208, w2 = 5394.015, dw = -0.07042, nw = 1651 131005.0021.ec.fits: ap = 53, w1 = 5457.738, w2 = 5342.654, dw = -0.06975, nw = 1651 131005.0021.ec.fits: ap = 54, w1 = 5406.258, w2 = 5292.261, dw = -0.06909, nw = 1651 131005.0021.ec.fits: ap = 55, w1 = 5355.74, w2 = 5242.811, dw = -0.06844, nw = 1651 131005.0021.ec.fits: ap = 56, w1 = 5306.157, w2 = 5194.276, dw = -0.06781, nw = 1651 131005.0021.ec.fits: ap = 57, w1 = 5257.485, w2 = 5146.632, dw = -0.06718, nw = 1651 131005.0021.ec.fits: ap = 58, w1 = 5209.697, w2 = 5099.854, dw = -0.06657, nw = 1651 131005.0021.ec.fits: ap = 59, w1 = 5162.771, w2 = 5053.92, dw = -0.06597, nw = 1651 131005.0021.ec.fits: ap = 60, w1 = 5116.683, w2 = 5008.805, dw = -0.06538, nw = 1651 131005.0021.ec.fits: ap = 61, w1 = 5071.41, w2 = 4964.489, dw = -0.0648, nw = 1651 131005.0021.ec.fits: ap = 62, w1 = 5026.932, w2 = 4920.951, dw = -0.06423, nw = 1651 131005.0021.ec.fits: ap = 63, w1 = 4983.228, w2 = 4878.17, dw = -0.06367, nw = 1651 131005.0021.ec.fits: ap = 64, w1 = 4940.277, w2 = 4836.127, dw = -0.06312, nw = 1651 131005.0021.ec.fits: ap = 65, w1 = 4898.06, w2 = 4794.802, dw = -0.06258, nw = 1651 131005.0021.ec.fits: ap = 66, w1 = 4856.559, w2 = 4754.178, dw = -0.06205, nw = 1651 131005.0021.ec.fits: ap = 67, w1 = 4815.756, w2 = 4714.237, dw = -0.06153, nw = 1651 131005.0021.ec.fits: ap = 68, w1 = 4775.633, w2 = 4674.961, dw = -0.06101, nw = 1651 131005.0021.ec.fits: ap = 69, w1 = 4736.173, w2 = 4636.335, dw = -0.06051, nw = 1651 131005.0021.ec.fits: ap = 70, w1 = 4697.36, w2 = 4598.342, dw = -0.06001, nw = 1651 131005.0021.ec.fits: ap = 71, w1 = 4659.178, w2 = 4560.967, dw = -0.05952, nw = 1651 131005.0021.ec.fits: ap = 72, w1 = 4621.612, w2 = 4524.195, dw = -0.05904, nw = 1651 131005.0021.ec.fits: ap = 73, w1 = 4584.647, w2 = 4488.011, dw = -0.05857, nw = 1651 131005.0021.ec.fits: ap = 74, w1 = 4548.269, w2 = 4452.401, dw = -0.0581, nw = 1651 131005.0021.ec.fits: ap = 75, w1 = 4512.464, w2 = 4417.353, dw = -0.05764, nw = 1651 131005.0021.ec.fits: ap = 76, w1 = 4477.219, w2 = 4382.852, dw = -0.05719, nw = 1651 131005.0021.ec.fits: ap = 77, w1 = 4442.52, w2 = 4348.886, dw = -0.05675, nw = 1651 131005.0021.ec.fits: ap = 78, w1 = 4408.355, w2 = 4315.442, dw = -0.05631, nw = 1651 131005.0021.ec.fits: ap = 79, w1 = 4374.712, w2 = 4282.51, dw = -0.05588, nw = 1651 131005.0021.ec.fits: ap = 80, w1 = 4341.578, w2 = 4250.076, dw = -0.05546, nw = 1651 131005.0021.ec.fits: ap = 81, w1 = 4308.943, w2 = 4218.13, dw = -0.05504, nw = 1651 131005.0021.ec.fits: ap = 82, w1 = 4276.795, w2 = 4186.661, dw = -0.05463, nw = 1651 131005.0021.ec.fits: ap = 83, w1 = 4245.123, w2 = 4155.658, dw = -0.05422, nw = 1651 131005.0021.ec.fits: ap = 84, w1 = 4213.917, w2 = 4125.111, dw = -0.05382, nw = 1651 131005.0021.ec.fits: ap = 85, w1 = 4183.167, w2 = 4095.01, dw = -0.05343, nw = 1651 131005.0021.ec.fits: ap = 86, w1 = 4152.862, w2 = 4065.345, dw = -0.05304, nw = 1651 131005.0021.ec.fits: ap = 87, w1 = 4122.994, w2 = 4036.107, dw = -0.05266, nw = 1651 131005.0021.ec.fits: ap = 88, w1 = 4093.552, w2 = 4007.287, dw = -0.05228, nw = 1651 131005.0021.ec.fits: ap = 89, w1 = 4064.528, w2 = 3978.875, dw = -0.05191, nw = 1651 131005.0021.ec.fits: ap = 90, w1 = 4035.913, w2 = 3950.864, dw = -0.05154, nw = 1651 131005.0021.ec.fits: ap = 91, w1 = 4007.699, w2 = 3923.245, dw = -0.05118, nw = 1651 131005.0021.ec.fits: ap = 92, w1 = 3979.876, w2 = 3896.009, dw = -0.05083, nw = 1651 131005.0021.ec.fits: ap = 93, w1 = 3952.437, w2 = 3869.149, dw = -0.05048, nw = 1651 131005.0021.ec.fits: ap = 94, w1 = 3925.374, w2 = 3842.657, dw = -0.05013, nw = 1651 131005.0021.ec.fits: ap = 95, w1 = 3898.679, w2 = 3816.525, dw = -0.04979, nw = 1651 131005.0021.ec.fits: ap = 96, w1 = 3872.346, w2 = 3790.747, dw = -0.04945, nw = 1651 131005.0021.ec.fits: ap = 97, w1 = 3846.365, w2 = 3765.314, dw = -0.04912, nw = 1651 131005.0021.ec.fits: ap = 98, w1 = 3820.731, w2 = 3740.221, dw = -0.04879, nw = 1651 131005.0021.ec.fits: ap = 99, w1 = 3795.437, w2 = 3715.46, dw = -0.04847, nw = 1651 131005.0021.ec.fits: ap = 100, w1 = 3770.475, w2 = 3691.023, dw = -0.04815, nw = 1651 131005.0021.ec.fits: ap = 101, w1 = 3745.84, w2 = 3666.907, dw = -0.04784, nw = 1651 131005.0021.ec.fits: ap = 102, w1 = 3721.524, w2 = 3643.104, dw = -0.04753, nw = 1651 131005.0021.ec.fits: ap = 103, w1 = 3697.523, w2 = 3619.608, dw = -0.04722, nw = 1651 131005.0021.ec.fits: ap = 104, w1 = 3673.829, w2 = 3596.414, dw = -0.04692, nw = 1651 131005.0021.ec.fits: ap = 105, w1 = 3650.438, w2 = 3573.514, dw = -0.04662, nw = 1651 131005.0021.ec.fits: ap = 106, w1 = 3627.342, w2 = 3550.905, dw = -0.04633, nw = 1651 131005.0021.ec.fits: ap = 107, w1 = 3604.537, w2 = 3528.58, dw = -0.04603, nw = 1651 131005.0021.ec.fits: ap = 108, w1 = 3582.017, w2 = 3506.534, dw = -0.04575, nw = 1651 131005.0021.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.761, dw = -0.04546, nw = 1651 131005.0021.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.258, dw = -0.04518, nw = 1651 131005.0021.ec.fits: ap = 111, w1 = 3516.115, w2 = 3442.018, dw = -0.04491, nw = 1651 131005.0021.ec.fits: ap = 112, w1 = 3494.683, w2 = 3421.037, dw = -0.04463, nw = 1651 131005.0021.ec.fits: ap = 113, w1 = 3473.512, w2 = 3400.31, dw = -0.04436, nw = 1651 131005.0021.ec.fits: ap = 114, w1 = 3452.595, w2 = 3379.833, dw = -0.0441, nw = 1651 131005.0021.ec.fits: ap = 115, w1 = 3431.929, w2 = 3359.601, dw = -0.04384, nw = 1651 131005.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.48197368' 131005.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.51802635' 131005.0022.ec.fits: ap = 1, w1 = 10811.75, w2 = 10583.6, dw = -0.13827, nw = 1651 131005.0022.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.63, dw = -0.13571, nw = 1651 131005.0022.ec.fits: ap = 3, w1 = 10418.63, w2 = 10198.78, dw = -0.13324, nw = 1651 131005.0022.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.68, dw = -0.13086, nw = 1651 131005.0022.ec.fits: ap = 5, w1 = 10053.09, w2 = 9840.963, dw = -0.12856, nw = 1651 131005.0022.ec.fits: ap = 6, w1 = 9879.779, w2 = 9671.307, dw = -0.12635, nw = 1651 131005.0022.ec.fits: ap = 7, w1 = 9712.339, w2 = 9507.402, dw = -0.1242, nw = 1651 131005.0022.ec.fits: ap = 8, w1 = 9550.481, w2 = 9348.961, dw = -0.12213, nw = 1651 131005.0022.ec.fits: ap = 9, w1 = 9393.929, w2 = 9195.714, dw = -0.12013, nw = 1651 131005.0022.ec.fits: ap = 10, w1 = 9242.426, w2 = 9047.411, dw = -0.11819, nw = 1651 131005.0022.ec.fits: ap = 11, w1 = 9095.734, w2 = 8903.816, dw = -0.11631, nw = 1651 131005.0022.ec.fits: ap = 12, w1 = 8953.625, w2 = 8764.707, dw = -0.1145, nw = 1651 131005.0022.ec.fits: ap = 13, w1 = 8815.889, w2 = 8629.879, dw = -0.11273, nw = 1651 131005.0022.ec.fits: ap = 14, w1 = 8682.327, w2 = 8499.137, dw = -0.11102, nw = 1651 131005.0022.ec.fits: ap = 15, w1 = 8552.751, w2 = 8372.297, dw = -0.10937, nw = 1651 131005.0022.ec.fits: ap = 16, w1 = 8426.986, w2 = 8249.188, dw = -0.10776, nw = 1651 131005.0022.ec.fits: ap = 17, w1 = 8304.867, w2 = 8129.647, dw = -0.10619, nw = 1651 131005.0022.ec.fits: ap = 18, w1 = 8186.237, w2 = 8013.522, dw = -0.10468, nw = 1651 131005.0022.ec.fits: ap = 19, w1 = 8070.948, w2 = 7900.668, dw = -0.1032, nw = 1651 131005.0022.ec.fits: ap = 20, w1 = 7958.862, w2 = 7790.948, dw = -0.10177, nw = 1651 131005.0022.ec.fits: ap = 21, w1 = 7849.846, w2 = 7684.235, dw = -0.10037, nw = 1651 131005.0022.ec.fits: ap = 22, w1 = 7743.777, w2 = 7580.405, dw = -0.09901, nw = 1651 131005.0022.ec.fits: ap = 23, w1 = 7640.536, w2 = 7479.345, dw = -0.09769, nw = 1651 131005.0022.ec.fits: ap = 24, w1 = 7540.012, w2 = 7380.944, dw = -0.09641, nw = 1651 131005.0022.ec.fits: ap = 25, w1 = 7442.1, w2 = 7285.098, dw = -0.09515, nw = 1651 131005.0022.ec.fits: ap = 26, w1 = 7346.697, w2 = 7191.711, dw = -0.09393, nw = 1651 131005.0022.ec.fits: ap = 27, w1 = 7253.71, w2 = 7100.687, dw = -0.09274, nw = 1651 131005.0022.ec.fits: ap = 28, w1 = 7163.048, w2 = 7011.94, dw = -0.09158, nw = 1651 131005.0022.ec.fits: ap = 29, w1 = 7074.624, w2 = 6925.383, dw = -0.09045, nw = 1651 131005.0022.ec.fits: ap = 30, w1 = 6988.357, w2 = 6840.938, dw = -0.08934, nw = 1651 131005.0022.ec.fits: ap = 31, w1 = 6904.169, w2 = 6758.528, dw = -0.08827, nw = 1651 131005.0022.ec.fits: ap = 32, w1 = 6821.985, w2 = 6678.08, dw = -0.08722, nw = 1651 131005.0022.ec.fits: ap = 33, w1 = 6741.735, w2 = 6599.525, dw = -0.08619, nw = 1651 131005.0022.ec.fits: ap = 34, w1 = 6663.351, w2 = 6522.796, dw = -0.08518, nw = 1651 131005.0022.ec.fits: ap = 35, w1 = 6586.769, w2 = 6447.832, dw = -0.0842, nw = 1651 131005.0022.ec.fits: ap = 36, w1 = 6511.928, w2 = 6374.572, dw = -0.08325, nw = 1651 131005.0022.ec.fits: ap = 37, w1 = 6438.768, w2 = 6302.957, dw = -0.08231, nw = 1651 131005.0022.ec.fits: ap = 38, w1 = 6367.235, w2 = 6232.935, dw = -0.08139, nw = 1651 131005.0022.ec.fits: ap = 39, w1 = 6297.273, w2 = 6164.451, dw = -0.0805, nw = 1651 131005.0022.ec.fits: ap = 40, w1 = 6228.833, w2 = 6097.456, dw = -0.07962, nw = 1651 131005.0022.ec.fits: ap = 41, w1 = 6161.864, w2 = 6031.902, dw = -0.07876, nw = 1651 131005.0022.ec.fits: ap = 42, w1 = 6096.32, w2 = 5967.743, dw = -0.07793, nw = 1651 131005.0022.ec.fits: ap = 43, w1 = 6032.157, w2 = 5904.935, dw = -0.0771, nw = 1651 131005.0022.ec.fits: ap = 44, w1 = 5969.33, w2 = 5843.435, dw = -0.0763, nw = 1651 131005.0022.ec.fits: ap = 45, w1 = 5907.798, w2 = 5783.204, dw = -0.07551, nw = 1651 131005.0022.ec.fits: ap = 46, w1 = 5847.522, w2 = 5724.201, dw = -0.07474, nw = 1651 131005.0022.ec.fits: ap = 47, w1 = 5788.464, w2 = 5666.391, dw = -0.07398, nw = 1651 131005.0022.ec.fits: ap = 48, w1 = 5730.588, w2 = 5609.737, dw = -0.07324, nw = 1651 131005.0022.ec.fits: ap = 49, w1 = 5673.857, w2 = 5554.205, dw = -0.07252, nw = 1651 131005.0022.ec.fits: ap = 50, w1 = 5618.239, w2 = 5499.762, dw = -0.0718, nw = 1651 131005.0022.ec.fits: ap = 51, w1 = 5563.701, w2 = 5446.376, dw = -0.07111, nw = 1651 131005.0022.ec.fits: ap = 52, w1 = 5510.211, w2 = 5394.017, dw = -0.07042, nw = 1651 131005.0022.ec.fits: ap = 53, w1 = 5457.741, w2 = 5342.656, dw = -0.06975, nw = 1651 131005.0022.ec.fits: ap = 54, w1 = 5406.261, w2 = 5292.263, dw = -0.06909, nw = 1651 131005.0022.ec.fits: ap = 55, w1 = 5355.743, w2 = 5242.813, dw = -0.06844, nw = 1651 131005.0022.ec.fits: ap = 56, w1 = 5306.161, w2 = 5194.278, dw = -0.06781, nw = 1651 131005.0022.ec.fits: ap = 57, w1 = 5257.488, w2 = 5146.634, dw = -0.06718, nw = 1651 131005.0022.ec.fits: ap = 58, w1 = 5209.701, w2 = 5099.856, dw = -0.06657, nw = 1651 131005.0022.ec.fits: ap = 59, w1 = 5162.774, w2 = 5053.921, dw = -0.06597, nw = 1651 131005.0022.ec.fits: ap = 60, w1 = 5116.686, w2 = 5008.807, dw = -0.06538, nw = 1651 131005.0022.ec.fits: ap = 61, w1 = 5071.413, w2 = 4964.491, dw = -0.0648, nw = 1651 131005.0022.ec.fits: ap = 62, w1 = 5026.935, w2 = 4920.953, dw = -0.06423, nw = 1651 131005.0022.ec.fits: ap = 63, w1 = 4983.231, w2 = 4878.172, dw = -0.06367, nw = 1651 131005.0022.ec.fits: ap = 64, w1 = 4940.28, w2 = 4836.128, dw = -0.06312, nw = 1651 131005.0022.ec.fits: ap = 65, w1 = 4898.063, w2 = 4794.804, dw = -0.06258, nw = 1651 131005.0022.ec.fits: ap = 66, w1 = 4856.562, w2 = 4754.18, dw = -0.06205, nw = 1651 131005.0022.ec.fits: ap = 67, w1 = 4815.759, w2 = 4714.239, dw = -0.06153, nw = 1651 131005.0022.ec.fits: ap = 68, w1 = 4775.635, w2 = 4674.963, dw = -0.06101, nw = 1651 131005.0022.ec.fits: ap = 69, w1 = 4736.175, w2 = 4636.337, dw = -0.06051, nw = 1651 131005.0022.ec.fits: ap = 70, w1 = 4697.362, w2 = 4598.344, dw = -0.06001, nw = 1651 131005.0022.ec.fits: ap = 71, w1 = 4659.18, w2 = 4560.969, dw = -0.05952, nw = 1651 131005.0022.ec.fits: ap = 72, w1 = 4621.614, w2 = 4524.196, dw = -0.05904, nw = 1651 131005.0022.ec.fits: ap = 73, w1 = 4584.65, w2 = 4488.013, dw = -0.05857, nw = 1651 131005.0022.ec.fits: ap = 74, w1 = 4548.272, w2 = 4452.403, dw = -0.0581, nw = 1651 131005.0022.ec.fits: ap = 75, w1 = 4512.467, w2 = 4417.355, dw = -0.05764, nw = 1651 131005.0022.ec.fits: ap = 76, w1 = 4477.221, w2 = 4382.854, dw = -0.05719, nw = 1651 131005.0022.ec.fits: ap = 77, w1 = 4442.522, w2 = 4348.888, dw = -0.05675, nw = 1651 131005.0022.ec.fits: ap = 78, w1 = 4408.357, w2 = 4315.444, dw = -0.05631, nw = 1651 131005.0022.ec.fits: ap = 79, w1 = 4374.714, w2 = 4282.512, dw = -0.05588, nw = 1651 131005.0022.ec.fits: ap = 80, w1 = 4341.58, w2 = 4250.078, dw = -0.05546, nw = 1651 131005.0022.ec.fits: ap = 81, w1 = 4308.945, w2 = 4218.132, dw = -0.05504, nw = 1651 131005.0022.ec.fits: ap = 82, w1 = 4276.797, w2 = 4186.663, dw = -0.05463, nw = 1651 131005.0022.ec.fits: ap = 83, w1 = 4245.125, w2 = 4155.66, dw = -0.05422, nw = 1651 131005.0022.ec.fits: ap = 84, w1 = 4213.919, w2 = 4125.113, dw = -0.05382, nw = 1651 131005.0022.ec.fits: ap = 85, w1 = 4183.169, w2 = 4095.012, dw = -0.05343, nw = 1651 131005.0022.ec.fits: ap = 86, w1 = 4152.864, w2 = 4065.347, dw = -0.05304, nw = 1651 131005.0022.ec.fits: ap = 87, w1 = 4122.996, w2 = 4036.109, dw = -0.05266, nw = 1651 131005.0022.ec.fits: ap = 88, w1 = 4093.554, w2 = 4007.289, dw = -0.05228, nw = 1651 131005.0022.ec.fits: ap = 89, w1 = 4064.53, w2 = 3978.878, dw = -0.05191, nw = 1651 131005.0022.ec.fits: ap = 90, w1 = 4035.915, w2 = 3950.867, dw = -0.05154, nw = 1651 131005.0022.ec.fits: ap = 91, w1 = 4007.701, w2 = 3923.248, dw = -0.05118, nw = 1651 131005.0022.ec.fits: ap = 92, w1 = 3979.878, w2 = 3896.012, dw = -0.05083, nw = 1651 131005.0022.ec.fits: ap = 93, w1 = 3952.439, w2 = 3869.152, dw = -0.05048, nw = 1651 131005.0022.ec.fits: ap = 94, w1 = 3925.376, w2 = 3842.66, dw = -0.05013, nw = 1651 131005.0022.ec.fits: ap = 95, w1 = 3898.681, w2 = 3816.528, dw = -0.04979, nw = 1651 131005.0022.ec.fits: ap = 96, w1 = 3872.347, w2 = 3790.75, dw = -0.04945, nw = 1651 131005.0022.ec.fits: ap = 97, w1 = 3846.367, w2 = 3765.317, dw = -0.04912, nw = 1651 131005.0022.ec.fits: ap = 98, w1 = 3820.733, w2 = 3740.224, dw = -0.04879, nw = 1651 131005.0022.ec.fits: ap = 99, w1 = 3795.439, w2 = 3715.463, dw = -0.04847, nw = 1651 131005.0022.ec.fits: ap = 100, w1 = 3770.477, w2 = 3691.027, dw = -0.04815, nw = 1651 131005.0022.ec.fits: ap = 101, w1 = 3745.842, w2 = 3666.911, dw = -0.04784, nw = 1651 131005.0022.ec.fits: ap = 102, w1 = 3721.526, w2 = 3643.108, dw = -0.04753, nw = 1651 131005.0022.ec.fits: ap = 103, w1 = 3697.525, w2 = 3619.612, dw = -0.04722, nw = 1651 131005.0022.ec.fits: ap = 104, w1 = 3673.831, w2 = 3596.418, dw = -0.04692, nw = 1651 131005.0022.ec.fits: ap = 105, w1 = 3650.44, w2 = 3573.519, dw = -0.04662, nw = 1651 131005.0022.ec.fits: ap = 106, w1 = 3627.344, w2 = 3550.909, dw = -0.04632, nw = 1651 131005.0022.ec.fits: ap = 107, w1 = 3604.539, w2 = 3528.584, dw = -0.04603, nw = 1651 131005.0022.ec.fits: ap = 108, w1 = 3582.019, w2 = 3506.539, dw = -0.04575, nw = 1651 131005.0022.ec.fits: ap = 109, w1 = 3559.779, w2 = 3484.766, dw = -0.04546, nw = 1651 131005.0022.ec.fits: ap = 110, w1 = 3537.814, w2 = 3463.263, dw = -0.04518, nw = 1651 131005.0022.ec.fits: ap = 111, w1 = 3516.118, w2 = 3442.023, dw = -0.04491, nw = 1651 131005.0022.ec.fits: ap = 112, w1 = 3494.686, w2 = 3421.042, dw = -0.04463, nw = 1651 131005.0022.ec.fits: ap = 113, w1 = 3473.515, w2 = 3400.316, dw = -0.04436, nw = 1651 131005.0022.ec.fits: ap = 114, w1 = 3452.598, w2 = 3379.839, dw = -0.0441, nw = 1651 131005.0022.ec.fits: ap = 115, w1 = 3431.932, w2 = 3359.607, dw = -0.04383, nw = 1651 131005.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.18439844' 131005.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.81560159' 131005.0023.ec.fits: ap = 1, w1 = 10811.75, w2 = 10583.6, dw = -0.13827, nw = 1651 131005.0023.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.63, dw = -0.13571, nw = 1651 131005.0023.ec.fits: ap = 3, w1 = 10418.63, w2 = 10198.78, dw = -0.13324, nw = 1651 131005.0023.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.68, dw = -0.13086, nw = 1651 131005.0023.ec.fits: ap = 5, w1 = 10053.1, w2 = 9840.962, dw = -0.12857, nw = 1651 131005.0023.ec.fits: ap = 6, w1 = 9879.781, w2 = 9671.307, dw = -0.12635, nw = 1651 131005.0023.ec.fits: ap = 7, w1 = 9712.341, w2 = 9507.402, dw = -0.12421, nw = 1651 131005.0023.ec.fits: ap = 8, w1 = 9550.482, w2 = 9348.961, dw = -0.12213, nw = 1651 131005.0023.ec.fits: ap = 9, w1 = 9393.93, w2 = 9195.715, dw = -0.12013, nw = 1651 131005.0023.ec.fits: ap = 10, w1 = 9242.428, w2 = 9047.411, dw = -0.11819, nw = 1651 131005.0023.ec.fits: ap = 11, w1 = 9095.736, w2 = 8903.816, dw = -0.11631, nw = 1651 131005.0023.ec.fits: ap = 12, w1 = 8953.627, w2 = 8764.708, dw = -0.1145, nw = 1651 131005.0023.ec.fits: ap = 13, w1 = 8815.891, w2 = 8629.88, dw = -0.11273, nw = 1651 131005.0023.ec.fits: ap = 14, w1 = 8682.329, w2 = 8499.138, dw = -0.11102, nw = 1651 131005.0023.ec.fits: ap = 15, w1 = 8552.753, w2 = 8372.298, dw = -0.10937, nw = 1651 131005.0023.ec.fits: ap = 16, w1 = 8426.989, w2 = 8249.189, dw = -0.10776, nw = 1651 131005.0023.ec.fits: ap = 17, w1 = 8304.869, w2 = 8129.649, dw = -0.10619, nw = 1651 131005.0023.ec.fits: ap = 18, w1 = 8186.239, w2 = 8013.523, dw = -0.10468, nw = 1651 131005.0023.ec.fits: ap = 19, w1 = 8070.951, w2 = 7900.669, dw = -0.1032, nw = 1651 131005.0023.ec.fits: ap = 20, w1 = 7958.864, w2 = 7790.95, dw = -0.10177, nw = 1651 131005.0023.ec.fits: ap = 21, w1 = 7849.849, w2 = 7684.236, dw = -0.10037, nw = 1651 131005.0023.ec.fits: ap = 22, w1 = 7743.78, w2 = 7580.407, dw = -0.09901, nw = 1651 131005.0023.ec.fits: ap = 23, w1 = 7640.539, w2 = 7479.346, dw = -0.09769, nw = 1651 131005.0023.ec.fits: ap = 24, w1 = 7540.016, w2 = 7380.945, dw = -0.09641, nw = 1651 131005.0023.ec.fits: ap = 25, w1 = 7442.103, w2 = 7285.1, dw = -0.09515, nw = 1651 131005.0023.ec.fits: ap = 26, w1 = 7346.701, w2 = 7191.713, dw = -0.09393, nw = 1651 131005.0023.ec.fits: ap = 27, w1 = 7253.714, w2 = 7100.689, dw = -0.09274, nw = 1651 131005.0023.ec.fits: ap = 28, w1 = 7163.051, w2 = 7011.942, dw = -0.09158, nw = 1651 131005.0023.ec.fits: ap = 29, w1 = 7074.628, w2 = 6925.386, dw = -0.09045, nw = 1651 131005.0023.ec.fits: ap = 30, w1 = 6988.361, w2 = 6840.94, dw = -0.08935, nw = 1651 131005.0023.ec.fits: ap = 31, w1 = 6904.172, w2 = 6758.53, dw = -0.08827, nw = 1651 131005.0023.ec.fits: ap = 32, w1 = 6821.988, w2 = 6678.082, dw = -0.08722, nw = 1651 131005.0023.ec.fits: ap = 33, w1 = 6741.738, w2 = 6599.527, dw = -0.08619, nw = 1651 131005.0023.ec.fits: ap = 34, w1 = 6663.355, w2 = 6522.799, dw = -0.08519, nw = 1651 131005.0023.ec.fits: ap = 35, w1 = 6586.773, w2 = 6447.834, dw = -0.08421, nw = 1651 131005.0023.ec.fits: ap = 36, w1 = 6511.932, w2 = 6374.574, dw = -0.08325, nw = 1651 131005.0023.ec.fits: ap = 37, w1 = 6438.772, w2 = 6302.96, dw = -0.08231, nw = 1651 131005.0023.ec.fits: ap = 38, w1 = 6367.239, w2 = 6232.937, dw = -0.08139, nw = 1651 131005.0023.ec.fits: ap = 39, w1 = 6297.277, w2 = 6164.453, dw = -0.0805, nw = 1651 131005.0023.ec.fits: ap = 40, w1 = 6228.837, w2 = 6097.459, dw = -0.07962, nw = 1651 131005.0023.ec.fits: ap = 41, w1 = 6161.868, w2 = 6031.905, dw = -0.07877, nw = 1651 131005.0023.ec.fits: ap = 42, w1 = 6096.324, w2 = 5967.746, dw = -0.07793, nw = 1651 131005.0023.ec.fits: ap = 43, w1 = 6032.161, w2 = 5904.937, dw = -0.0771, nw = 1651 131005.0023.ec.fits: ap = 44, w1 = 5969.334, w2 = 5843.438, dw = -0.0763, nw = 1651 131005.0023.ec.fits: ap = 45, w1 = 5907.802, w2 = 5783.206, dw = -0.07551, nw = 1651 131005.0023.ec.fits: ap = 46, w1 = 5847.526, w2 = 5724.204, dw = -0.07474, nw = 1651 131005.0023.ec.fits: ap = 47, w1 = 5788.468, w2 = 5666.393, dw = -0.07398, nw = 1651 131005.0023.ec.fits: ap = 48, w1 = 5730.592, w2 = 5609.74, dw = -0.07324, nw = 1651 131005.0023.ec.fits: ap = 49, w1 = 5673.861, w2 = 5554.208, dw = -0.07252, nw = 1651 131005.0023.ec.fits: ap = 50, w1 = 5618.243, w2 = 5499.764, dw = -0.07181, nw = 1651 131005.0023.ec.fits: ap = 51, w1 = 5563.705, w2 = 5446.379, dw = -0.07111, nw = 1651 131005.0023.ec.fits: ap = 52, w1 = 5510.215, w2 = 5394.02, dw = -0.07042, nw = 1651 131005.0023.ec.fits: ap = 53, w1 = 5457.745, w2 = 5342.658, dw = -0.06975, nw = 1651 131005.0023.ec.fits: ap = 54, w1 = 5406.265, w2 = 5292.265, dw = -0.06909, nw = 1651 131005.0023.ec.fits: ap = 55, w1 = 5355.747, w2 = 5242.815, dw = -0.06844, nw = 1651 131005.0023.ec.fits: ap = 56, w1 = 5306.164, w2 = 5194.28, dw = -0.06781, nw = 1651 131005.0023.ec.fits: ap = 57, w1 = 5257.492, w2 = 5146.636, dw = -0.06719, nw = 1651 131005.0023.ec.fits: ap = 58, w1 = 5209.704, w2 = 5099.858, dw = -0.06657, nw = 1651 131005.0023.ec.fits: ap = 59, w1 = 5162.778, w2 = 5053.924, dw = -0.06597, nw = 1651 131005.0023.ec.fits: ap = 60, w1 = 5116.69, w2 = 5008.809, dw = -0.06538, nw = 1651 131005.0023.ec.fits: ap = 61, w1 = 5071.417, w2 = 4964.493, dw = -0.0648, nw = 1651 131005.0023.ec.fits: ap = 62, w1 = 5026.939, w2 = 4920.955, dw = -0.06423, nw = 1651 131005.0023.ec.fits: ap = 63, w1 = 4983.234, w2 = 4878.174, dw = -0.06367, nw = 1651 131005.0023.ec.fits: ap = 64, w1 = 4940.283, w2 = 4836.131, dw = -0.06312, nw = 1651 131005.0023.ec.fits: ap = 65, w1 = 4898.067, w2 = 4794.806, dw = -0.06258, nw = 1651 131005.0023.ec.fits: ap = 66, w1 = 4856.565, w2 = 4754.182, dw = -0.06205, nw = 1651 131005.0023.ec.fits: ap = 67, w1 = 4815.762, w2 = 4714.241, dw = -0.06153, nw = 1651 131005.0023.ec.fits: ap = 68, w1 = 4775.639, w2 = 4674.965, dw = -0.06101, nw = 1651 131005.0023.ec.fits: ap = 69, w1 = 4736.178, w2 = 4636.339, dw = -0.06051, nw = 1651 131005.0023.ec.fits: ap = 70, w1 = 4697.365, w2 = 4598.346, dw = -0.06001, nw = 1651 131005.0023.ec.fits: ap = 71, w1 = 4659.183, w2 = 4560.971, dw = -0.05952, nw = 1651 131005.0023.ec.fits: ap = 72, w1 = 4621.617, w2 = 4524.199, dw = -0.05904, nw = 1651 131005.0023.ec.fits: ap = 73, w1 = 4584.653, w2 = 4488.015, dw = -0.05857, nw = 1651 131005.0023.ec.fits: ap = 74, w1 = 4548.274, w2 = 4452.405, dw = -0.0581, nw = 1651 131005.0023.ec.fits: ap = 75, w1 = 4512.469, w2 = 4417.357, dw = -0.05764, nw = 1651 131005.0023.ec.fits: ap = 76, w1 = 4477.224, w2 = 4382.856, dw = -0.05719, nw = 1651 131005.0023.ec.fits: ap = 77, w1 = 4442.525, w2 = 4348.89, dw = -0.05675, nw = 1651 131005.0023.ec.fits: ap = 78, w1 = 4408.36, w2 = 4315.447, dw = -0.05631, nw = 1651 131005.0023.ec.fits: ap = 79, w1 = 4374.716, w2 = 4282.514, dw = -0.05588, nw = 1651 131005.0023.ec.fits: ap = 80, w1 = 4341.583, w2 = 4250.08, dw = -0.05546, nw = 1651 131005.0023.ec.fits: ap = 81, w1 = 4308.947, w2 = 4218.134, dw = -0.05504, nw = 1651 131005.0023.ec.fits: ap = 82, w1 = 4276.799, w2 = 4186.665, dw = -0.05463, nw = 1651 131005.0023.ec.fits: ap = 83, w1 = 4245.128, w2 = 4155.663, dw = -0.05422, nw = 1651 131005.0023.ec.fits: ap = 84, w1 = 4213.922, w2 = 4125.116, dw = -0.05382, nw = 1651 131005.0023.ec.fits: ap = 85, w1 = 4183.171, w2 = 4095.015, dw = -0.05343, nw = 1651 131005.0023.ec.fits: ap = 86, w1 = 4152.867, w2 = 4065.35, dw = -0.05304, nw = 1651 131005.0023.ec.fits: ap = 87, w1 = 4122.998, w2 = 4036.112, dw = -0.05266, nw = 1651 131005.0023.ec.fits: ap = 88, w1 = 4093.557, w2 = 4007.292, dw = -0.05228, nw = 1651 131005.0023.ec.fits: ap = 89, w1 = 4064.533, w2 = 3978.881, dw = -0.05191, nw = 1651 131005.0023.ec.fits: ap = 90, w1 = 4035.918, w2 = 3950.87, dw = -0.05154, nw = 1651 131005.0023.ec.fits: ap = 91, w1 = 4007.703, w2 = 3923.251, dw = -0.05118, nw = 1651 131005.0023.ec.fits: ap = 92, w1 = 3979.88, w2 = 3896.015, dw = -0.05083, nw = 1651 131005.0023.ec.fits: ap = 93, w1 = 3952.441, w2 = 3869.155, dw = -0.05048, nw = 1651 131005.0023.ec.fits: ap = 94, w1 = 3925.378, w2 = 3842.663, dw = -0.05013, nw = 1651 131005.0023.ec.fits: ap = 95, w1 = 3898.683, w2 = 3816.532, dw = -0.04979, nw = 1651 131005.0023.ec.fits: ap = 96, w1 = 3872.349, w2 = 3790.753, dw = -0.04945, nw = 1651 131005.0023.ec.fits: ap = 97, w1 = 3846.369, w2 = 3765.321, dw = -0.04912, nw = 1651 131005.0023.ec.fits: ap = 98, w1 = 3820.735, w2 = 3740.228, dw = -0.04879, nw = 1651 131005.0023.ec.fits: ap = 99, w1 = 3795.441, w2 = 3715.467, dw = -0.04847, nw = 1651 131005.0023.ec.fits: ap = 100, w1 = 3770.479, w2 = 3691.031, dw = -0.04815, nw = 1651 131005.0023.ec.fits: ap = 101, w1 = 3745.844, w2 = 3666.915, dw = -0.04784, nw = 1651 131005.0023.ec.fits: ap = 102, w1 = 3721.529, w2 = 3643.113, dw = -0.04752, nw = 1651 131005.0023.ec.fits: ap = 103, w1 = 3697.527, w2 = 3619.617, dw = -0.04722, nw = 1651 131005.0023.ec.fits: ap = 104, w1 = 3673.834, w2 = 3596.423, dw = -0.04692, nw = 1651 131005.0023.ec.fits: ap = 105, w1 = 3650.442, w2 = 3573.524, dw = -0.04662, nw = 1651 131005.0023.ec.fits: ap = 106, w1 = 3627.347, w2 = 3550.915, dw = -0.04632, nw = 1651 131005.0023.ec.fits: ap = 107, w1 = 3604.542, w2 = 3528.59, dw = -0.04603, nw = 1651 131005.0023.ec.fits: ap = 108, w1 = 3582.022, w2 = 3506.544, dw = -0.04574, nw = 1651 131005.0023.ec.fits: ap = 109, w1 = 3559.782, w2 = 3484.772, dw = -0.04546, nw = 1651 131005.0023.ec.fits: ap = 110, w1 = 3537.816, w2 = 3463.269, dw = -0.04518, nw = 1651 131005.0023.ec.fits: ap = 111, w1 = 3516.121, w2 = 3442.03, dw = -0.0449, nw = 1651 131005.0023.ec.fits: ap = 112, w1 = 3494.689, w2 = 3421.049, dw = -0.04463, nw = 1651 131005.0023.ec.fits: ap = 113, w1 = 3473.518, w2 = 3400.323, dw = -0.04436, nw = 1651 131005.0023.ec.fits: ap = 114, w1 = 3452.602, w2 = 3379.846, dw = -0.04409, nw = 1651 131005.0023.ec.fits: ap = 115, w1 = 3431.936, w2 = 3359.615, dw = -0.04383, nw = 1651 131005.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.75184166' 131005.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0027.ec 0.24815832' 131005.0025.ec.fits: ap = 1, w1 = 10811.74, w2 = 10583.59, dw = -0.13827, nw = 1651 131005.0025.ec.fits: ap = 2, w1 = 10611.54, w2 = 10387.61, dw = -0.13571, nw = 1651 131005.0025.ec.fits: ap = 3, w1 = 10418.62, w2 = 10198.77, dw = -0.13324, nw = 1651 131005.0025.ec.fits: ap = 4, w1 = 10232.59, w2 = 10016.66, dw = -0.13086, nw = 1651 131005.0025.ec.fits: ap = 5, w1 = 10053.08, w2 = 9840.949, dw = -0.12857, nw = 1651 131005.0025.ec.fits: ap = 6, w1 = 9879.77, w2 = 9671.294, dw = -0.12635, nw = 1651 131005.0025.ec.fits: ap = 7, w1 = 9712.331, w2 = 9507.389, dw = -0.12421, nw = 1651 131005.0025.ec.fits: ap = 8, w1 = 9550.473, w2 = 9348.948, dw = -0.12214, nw = 1651 131005.0025.ec.fits: ap = 9, w1 = 9393.921, w2 = 9195.702, dw = -0.12013, nw = 1651 131005.0025.ec.fits: ap = 10, w1 = 9242.42, w2 = 9047.399, dw = -0.11819, nw = 1651 131005.0025.ec.fits: ap = 11, w1 = 9095.727, w2 = 8903.804, dw = -0.11632, nw = 1651 131005.0025.ec.fits: ap = 12, w1 = 8953.619, w2 = 8764.696, dw = -0.1145, nw = 1651 131005.0025.ec.fits: ap = 13, w1 = 8815.883, w2 = 8629.869, dw = -0.11274, nw = 1651 131005.0025.ec.fits: ap = 14, w1 = 8682.321, w2 = 8499.127, dw = -0.11103, nw = 1651 131005.0025.ec.fits: ap = 15, w1 = 8552.746, w2 = 8372.287, dw = -0.10937, nw = 1651 131005.0025.ec.fits: ap = 16, w1 = 8426.982, w2 = 8249.179, dw = -0.10776, nw = 1651 131005.0025.ec.fits: ap = 17, w1 = 8304.863, w2 = 8129.639, dw = -0.1062, nw = 1651 131005.0025.ec.fits: ap = 18, w1 = 8186.233, w2 = 8013.514, dw = -0.10468, nw = 1651 131005.0025.ec.fits: ap = 19, w1 = 8070.945, w2 = 7900.66, dw = -0.1032, nw = 1651 131005.0025.ec.fits: ap = 20, w1 = 7958.859, w2 = 7790.94, dw = -0.10177, nw = 1651 131005.0025.ec.fits: ap = 21, w1 = 7849.843, w2 = 7684.227, dw = -0.10037, nw = 1651 131005.0025.ec.fits: ap = 22, w1 = 7743.774, w2 = 7580.398, dw = -0.09902, nw = 1651 131005.0025.ec.fits: ap = 23, w1 = 7640.534, w2 = 7479.338, dw = -0.09769, nw = 1651 131005.0025.ec.fits: ap = 24, w1 = 7540.01, w2 = 7380.937, dw = -0.09641, nw = 1651 131005.0025.ec.fits: ap = 25, w1 = 7442.097, w2 = 7285.092, dw = -0.09515, nw = 1651 131005.0025.ec.fits: ap = 26, w1 = 7346.695, w2 = 7191.704, dw = -0.09393, nw = 1651 131005.0025.ec.fits: ap = 27, w1 = 7253.708, w2 = 7100.681, dw = -0.09274, nw = 1651 131005.0025.ec.fits: ap = 28, w1 = 7163.046, w2 = 7011.934, dw = -0.09158, nw = 1651 131005.0025.ec.fits: ap = 29, w1 = 7074.622, w2 = 6925.378, dw = -0.09045, nw = 1651 131005.0025.ec.fits: ap = 30, w1 = 6988.355, w2 = 6840.932, dw = -0.08935, nw = 1651 131005.0025.ec.fits: ap = 31, w1 = 6904.167, w2 = 6758.522, dw = -0.08827, nw = 1651 131005.0025.ec.fits: ap = 32, w1 = 6821.983, w2 = 6678.074, dw = -0.08722, nw = 1651 131005.0025.ec.fits: ap = 33, w1 = 6741.733, w2 = 6599.519, dw = -0.08619, nw = 1651 131005.0025.ec.fits: ap = 34, w1 = 6663.349, w2 = 6522.791, dw = -0.08519, nw = 1651 131005.0025.ec.fits: ap = 35, w1 = 6586.768, w2 = 6447.827, dw = -0.08421, nw = 1651 131005.0025.ec.fits: ap = 36, w1 = 6511.926, w2 = 6374.566, dw = -0.08325, nw = 1651 131005.0025.ec.fits: ap = 37, w1 = 6438.767, w2 = 6302.952, dw = -0.08231, nw = 1651 131005.0025.ec.fits: ap = 38, w1 = 6367.233, w2 = 6232.93, dw = -0.0814, nw = 1651 131005.0025.ec.fits: ap = 39, w1 = 6297.272, w2 = 6164.446, dw = -0.0805, nw = 1651 131005.0025.ec.fits: ap = 40, w1 = 6228.832, w2 = 6097.452, dw = -0.07962, nw = 1651 131005.0025.ec.fits: ap = 41, w1 = 6161.863, w2 = 6031.898, dw = -0.07877, nw = 1651 131005.0025.ec.fits: ap = 42, w1 = 6096.319, w2 = 5967.739, dw = -0.07793, nw = 1651 131005.0025.ec.fits: ap = 43, w1 = 6032.156, w2 = 5904.93, dw = -0.07711, nw = 1651 131005.0025.ec.fits: ap = 44, w1 = 5969.329, w2 = 5843.431, dw = -0.0763, nw = 1651 131005.0025.ec.fits: ap = 45, w1 = 5907.797, w2 = 5783.199, dw = -0.07551, nw = 1651 131005.0025.ec.fits: ap = 46, w1 = 5847.522, w2 = 5724.197, dw = -0.07474, nw = 1651 131005.0025.ec.fits: ap = 47, w1 = 5788.464, w2 = 5666.387, dw = -0.07399, nw = 1651 131005.0025.ec.fits: ap = 48, w1 = 5730.587, w2 = 5609.733, dw = -0.07325, nw = 1651 131005.0025.ec.fits: ap = 49, w1 = 5673.857, w2 = 5554.201, dw = -0.07252, nw = 1651 131005.0025.ec.fits: ap = 50, w1 = 5618.238, w2 = 5499.758, dw = -0.07181, nw = 1651 131005.0025.ec.fits: ap = 51, w1 = 5563.7, w2 = 5446.372, dw = -0.07111, nw = 1651 131005.0025.ec.fits: ap = 52, w1 = 5510.211, w2 = 5394.013, dw = -0.07042, nw = 1651 131005.0025.ec.fits: ap = 53, w1 = 5457.741, w2 = 5342.651, dw = -0.06975, nw = 1651 131005.0025.ec.fits: ap = 54, w1 = 5406.261, w2 = 5292.259, dw = -0.06909, nw = 1651 131005.0025.ec.fits: ap = 55, w1 = 5355.743, w2 = 5242.808, dw = -0.06845, nw = 1651 131005.0025.ec.fits: ap = 56, w1 = 5306.161, w2 = 5194.274, dw = -0.06781, nw = 1651 131005.0025.ec.fits: ap = 57, w1 = 5257.488, w2 = 5146.63, dw = -0.06719, nw = 1651 131005.0025.ec.fits: ap = 58, w1 = 5209.701, w2 = 5099.852, dw = -0.06658, nw = 1651 131005.0025.ec.fits: ap = 59, w1 = 5162.775, w2 = 5053.917, dw = -0.06597, nw = 1651 131005.0025.ec.fits: ap = 60, w1 = 5116.686, w2 = 5008.803, dw = -0.06538, nw = 1651 131005.0025.ec.fits: ap = 61, w1 = 5071.414, w2 = 4964.487, dw = -0.0648, nw = 1651 131005.0025.ec.fits: ap = 62, w1 = 5026.936, w2 = 4920.949, dw = -0.06423, nw = 1651 131005.0025.ec.fits: ap = 63, w1 = 4983.231, w2 = 4878.168, dw = -0.06367, nw = 1651 131005.0025.ec.fits: ap = 64, w1 = 4940.281, w2 = 4836.125, dw = -0.06312, nw = 1651 131005.0025.ec.fits: ap = 65, w1 = 4898.064, w2 = 4794.8, dw = -0.06258, nw = 1651 131005.0025.ec.fits: ap = 66, w1 = 4856.563, w2 = 4754.176, dw = -0.06205, nw = 1651 131005.0025.ec.fits: ap = 67, w1 = 4815.759, w2 = 4714.235, dw = -0.06153, nw = 1651 131005.0025.ec.fits: ap = 68, w1 = 4775.636, w2 = 4674.959, dw = -0.06102, nw = 1651 131005.0025.ec.fits: ap = 69, w1 = 4736.176, w2 = 4636.333, dw = -0.06051, nw = 1651 131005.0025.ec.fits: ap = 70, w1 = 4697.363, w2 = 4598.34, dw = -0.06001, nw = 1651 131005.0025.ec.fits: ap = 71, w1 = 4659.181, w2 = 4560.965, dw = -0.05952, nw = 1651 131005.0025.ec.fits: ap = 72, w1 = 4621.615, w2 = 4524.193, dw = -0.05904, nw = 1651 131005.0025.ec.fits: ap = 73, w1 = 4584.65, w2 = 4488.009, dw = -0.05857, nw = 1651 131005.0025.ec.fits: ap = 74, w1 = 4548.272, w2 = 4452.4, dw = -0.0581, nw = 1651 131005.0025.ec.fits: ap = 75, w1 = 4512.467, w2 = 4417.352, dw = -0.05765, nw = 1651 131005.0025.ec.fits: ap = 76, w1 = 4477.222, w2 = 4382.851, dw = -0.05719, nw = 1651 131005.0025.ec.fits: ap = 77, w1 = 4442.523, w2 = 4348.885, dw = -0.05675, nw = 1651 131005.0025.ec.fits: ap = 78, w1 = 4408.357, w2 = 4315.442, dw = -0.05631, nw = 1651 131005.0025.ec.fits: ap = 79, w1 = 4374.714, w2 = 4282.509, dw = -0.05588, nw = 1651 131005.0025.ec.fits: ap = 80, w1 = 4341.58, w2 = 4250.076, dw = -0.05546, nw = 1651 131005.0025.ec.fits: ap = 81, w1 = 4308.945, w2 = 4218.13, dw = -0.05504, nw = 1651 131005.0025.ec.fits: ap = 82, w1 = 4276.797, w2 = 4186.661, dw = -0.05463, nw = 1651 131005.0025.ec.fits: ap = 83, w1 = 4245.125, w2 = 4155.659, dw = -0.05422, nw = 1651 131005.0025.ec.fits: ap = 84, w1 = 4213.918, w2 = 4125.112, dw = -0.05382, nw = 1651 131005.0025.ec.fits: ap = 85, w1 = 4183.168, w2 = 4095.011, dw = -0.05343, nw = 1651 131005.0025.ec.fits: ap = 86, w1 = 4152.863, w2 = 4065.347, dw = -0.05304, nw = 1651 131005.0025.ec.fits: ap = 87, w1 = 4122.994, w2 = 4036.109, dw = -0.05266, nw = 1651 131005.0025.ec.fits: ap = 88, w1 = 4093.552, w2 = 4007.289, dw = -0.05228, nw = 1651 131005.0025.ec.fits: ap = 89, w1 = 4064.528, w2 = 3978.878, dw = -0.05191, nw = 1651 131005.0025.ec.fits: ap = 90, w1 = 4035.913, w2 = 3950.868, dw = -0.05154, nw = 1651 131005.0025.ec.fits: ap = 91, w1 = 4007.697, w2 = 3923.249, dw = -0.05118, nw = 1651 131005.0025.ec.fits: ap = 92, w1 = 3979.874, w2 = 3896.013, dw = -0.05082, nw = 1651 131005.0025.ec.fits: ap = 93, w1 = 3952.434, w2 = 3869.153, dw = -0.05047, nw = 1651 131005.0025.ec.fits: ap = 94, w1 = 3925.37, w2 = 3842.661, dw = -0.05013, nw = 1651 131005.0025.ec.fits: ap = 95, w1 = 3898.675, w2 = 3816.53, dw = -0.04978, nw = 1651 131005.0025.ec.fits: ap = 96, w1 = 3872.34, w2 = 3790.752, dw = -0.04945, nw = 1651 131005.0025.ec.fits: ap = 97, w1 = 3846.359, w2 = 3765.32, dw = -0.04911, nw = 1651 131005.0025.ec.fits: ap = 98, w1 = 3820.725, w2 = 3740.227, dw = -0.04879, nw = 1651 131005.0025.ec.fits: ap = 99, w1 = 3795.43, w2 = 3715.466, dw = -0.04846, nw = 1651 131005.0025.ec.fits: ap = 100, w1 = 3770.468, w2 = 3691.032, dw = -0.04814, nw = 1651 131005.0025.ec.fits: ap = 101, w1 = 3745.832, w2 = 3666.916, dw = -0.04783, nw = 1651 131005.0025.ec.fits: ap = 102, w1 = 3721.516, w2 = 3643.114, dw = -0.04752, nw = 1651 131005.0025.ec.fits: ap = 103, w1 = 3697.514, w2 = 3619.619, dw = -0.04721, nw = 1651 131005.0025.ec.fits: ap = 104, w1 = 3673.819, w2 = 3596.424, dw = -0.04691, nw = 1651 131005.0025.ec.fits: ap = 105, w1 = 3650.426, w2 = 3573.526, dw = -0.04661, nw = 1651 131005.0025.ec.fits: ap = 106, w1 = 3627.329, w2 = 3550.917, dw = -0.04631, nw = 1651 131005.0025.ec.fits: ap = 107, w1 = 3604.523, w2 = 3528.593, dw = -0.04602, nw = 1651 131005.0025.ec.fits: ap = 108, w1 = 3582.002, w2 = 3506.548, dw = -0.04573, nw = 1651 131005.0025.ec.fits: ap = 109, w1 = 3559.761, w2 = 3484.776, dw = -0.04545, nw = 1651 131005.0025.ec.fits: ap = 110, w1 = 3537.794, w2 = 3463.273, dw = -0.04516, nw = 1651 131005.0025.ec.fits: ap = 111, w1 = 3516.097, w2 = 3442.034, dw = -0.04489, nw = 1651 131005.0025.ec.fits: ap = 112, w1 = 3494.664, w2 = 3421.054, dw = -0.04461, nw = 1651 131005.0025.ec.fits: ap = 113, w1 = 3473.491, w2 = 3400.329, dw = -0.04434, nw = 1651 131005.0025.ec.fits: ap = 114, w1 = 3452.573, w2 = 3379.852, dw = -0.04407, nw = 1651 131005.0025.ec.fits: ap = 115, w1 = 3431.906, w2 = 3359.622, dw = -0.04381, nw = 1651 131005.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.29182836' 131005.0026.ec.fits: REFSPEC2 = 'EchelleThAr.0027.ec 0.70817161' 131005.0026.ec.fits: ap = 1, w1 = 10811.7, w2 = 10583.56, dw = -0.13827, nw = 1651 131005.0026.ec.fits: ap = 2, w1 = 10611.51, w2 = 10387.59, dw = -0.13571, nw = 1651 131005.0026.ec.fits: ap = 3, w1 = 10418.59, w2 = 10198.74, dw = -0.13324, nw = 1651 131005.0026.ec.fits: ap = 4, w1 = 10232.56, w2 = 10016.64, dw = -0.13086, nw = 1651 131005.0026.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.924, dw = -0.12857, nw = 1651 131005.0026.ec.fits: ap = 6, w1 = 9879.747, w2 = 9671.27, dw = -0.12635, nw = 1651 131005.0026.ec.fits: ap = 7, w1 = 9712.31, w2 = 9507.366, dw = -0.12421, nw = 1651 131005.0026.ec.fits: ap = 8, w1 = 9550.453, w2 = 9348.925, dw = -0.12214, nw = 1651 131005.0026.ec.fits: ap = 9, w1 = 9393.903, w2 = 9195.68, dw = -0.12014, nw = 1651 131005.0026.ec.fits: ap = 10, w1 = 9242.402, w2 = 9047.377, dw = -0.1182, nw = 1651 131005.0026.ec.fits: ap = 11, w1 = 9095.711, w2 = 8903.783, dw = -0.11632, nw = 1651 131005.0026.ec.fits: ap = 12, w1 = 8953.603, w2 = 8764.675, dw = -0.1145, nw = 1651 131005.0026.ec.fits: ap = 13, w1 = 8815.868, w2 = 8629.848, dw = -0.11274, nw = 1651 131005.0026.ec.fits: ap = 14, w1 = 8682.307, w2 = 8499.106, dw = -0.11103, nw = 1651 131005.0026.ec.fits: ap = 15, w1 = 8552.732, w2 = 8372.267, dw = -0.10937, nw = 1651 131005.0026.ec.fits: ap = 16, w1 = 8426.968, w2 = 8249.159, dw = -0.10776, nw = 1651 131005.0026.ec.fits: ap = 17, w1 = 8304.849, w2 = 8129.619, dw = -0.1062, nw = 1651 131005.0026.ec.fits: ap = 18, w1 = 8186.219, w2 = 8013.494, dw = -0.10468, nw = 1651 131005.0026.ec.fits: ap = 19, w1 = 8070.931, w2 = 7900.64, dw = -0.10321, nw = 1651 131005.0026.ec.fits: ap = 20, w1 = 7958.845, w2 = 7790.921, dw = -0.10177, nw = 1651 131005.0026.ec.fits: ap = 21, w1 = 7849.83, w2 = 7684.208, dw = -0.10038, nw = 1651 131005.0026.ec.fits: ap = 22, w1 = 7743.761, w2 = 7580.379, dw = -0.09902, nw = 1651 131005.0026.ec.fits: ap = 23, w1 = 7640.52, w2 = 7479.319, dw = -0.0977, nw = 1651 131005.0026.ec.fits: ap = 24, w1 = 7539.997, w2 = 7380.919, dw = -0.09641, nw = 1651 131005.0026.ec.fits: ap = 25, w1 = 7442.084, w2 = 7285.074, dw = -0.09516, nw = 1651 131005.0026.ec.fits: ap = 26, w1 = 7346.682, w2 = 7191.687, dw = -0.09394, nw = 1651 131005.0026.ec.fits: ap = 27, w1 = 7253.695, w2 = 7100.664, dw = -0.09275, nw = 1651 131005.0026.ec.fits: ap = 28, w1 = 7163.032, w2 = 7011.916, dw = -0.09159, nw = 1651 131005.0026.ec.fits: ap = 29, w1 = 7074.608, w2 = 6925.36, dw = -0.09045, nw = 1651 131005.0026.ec.fits: ap = 30, w1 = 6988.341, w2 = 6840.916, dw = -0.08935, nw = 1651 131005.0026.ec.fits: ap = 31, w1 = 6904.153, w2 = 6758.505, dw = -0.08827, nw = 1651 131005.0026.ec.fits: ap = 32, w1 = 6821.969, w2 = 6678.058, dw = -0.08722, nw = 1651 131005.0026.ec.fits: ap = 33, w1 = 6741.719, w2 = 6599.503, dw = -0.08619, nw = 1651 131005.0026.ec.fits: ap = 34, w1 = 6663.335, w2 = 6522.775, dw = -0.08519, nw = 1651 131005.0026.ec.fits: ap = 35, w1 = 6586.753, w2 = 6447.811, dw = -0.08421, nw = 1651 131005.0026.ec.fits: ap = 36, w1 = 6511.912, w2 = 6374.55, dw = -0.08325, nw = 1651 131005.0026.ec.fits: ap = 37, w1 = 6438.753, w2 = 6302.936, dw = -0.08231, nw = 1651 131005.0026.ec.fits: ap = 38, w1 = 6367.219, w2 = 6232.914, dw = -0.0814, nw = 1651 131005.0026.ec.fits: ap = 39, w1 = 6297.258, w2 = 6164.43, dw = -0.0805, nw = 1651 131005.0026.ec.fits: ap = 40, w1 = 6228.818, w2 = 6097.436, dw = -0.07963, nw = 1651 131005.0026.ec.fits: ap = 41, w1 = 6161.849, w2 = 6031.882, dw = -0.07877, nw = 1651 131005.0026.ec.fits: ap = 42, w1 = 6096.306, w2 = 5967.723, dw = -0.07793, nw = 1651 131005.0026.ec.fits: ap = 43, w1 = 6032.142, w2 = 5904.915, dw = -0.07711, nw = 1651 131005.0026.ec.fits: ap = 44, w1 = 5969.315, w2 = 5843.415, dw = -0.0763, nw = 1651 131005.0026.ec.fits: ap = 45, w1 = 5907.784, w2 = 5783.184, dw = -0.07552, nw = 1651 131005.0026.ec.fits: ap = 46, w1 = 5847.508, w2 = 5724.182, dw = -0.07474, nw = 1651 131005.0026.ec.fits: ap = 47, w1 = 5788.451, w2 = 5666.372, dw = -0.07399, nw = 1651 131005.0026.ec.fits: ap = 48, w1 = 5730.574, w2 = 5609.718, dw = -0.07325, nw = 1651 131005.0026.ec.fits: ap = 49, w1 = 5673.844, w2 = 5554.186, dw = -0.07252, nw = 1651 131005.0026.ec.fits: ap = 50, w1 = 5618.226, w2 = 5499.743, dw = -0.07181, nw = 1651 131005.0026.ec.fits: ap = 51, w1 = 5563.688, w2 = 5446.357, dw = -0.07111, nw = 1651 131005.0026.ec.fits: ap = 52, w1 = 5510.199, w2 = 5393.998, dw = -0.07042, nw = 1651 131005.0026.ec.fits: ap = 53, w1 = 5457.729, w2 = 5342.637, dw = -0.06975, nw = 1651 131005.0026.ec.fits: ap = 54, w1 = 5406.249, w2 = 5292.244, dw = -0.06909, nw = 1651 131005.0026.ec.fits: ap = 55, w1 = 5355.732, w2 = 5242.794, dw = -0.06845, nw = 1651 131005.0026.ec.fits: ap = 56, w1 = 5306.15, w2 = 5194.259, dw = -0.06781, nw = 1651 131005.0026.ec.fits: ap = 57, w1 = 5257.478, w2 = 5146.615, dw = -0.06719, nw = 1651 131005.0026.ec.fits: ap = 58, w1 = 5209.69, w2 = 5099.838, dw = -0.06658, nw = 1651 131005.0026.ec.fits: ap = 59, w1 = 5162.764, w2 = 5053.903, dw = -0.06598, nw = 1651 131005.0026.ec.fits: ap = 60, w1 = 5116.676, w2 = 5008.789, dw = -0.06539, nw = 1651 131005.0026.ec.fits: ap = 61, w1 = 5071.404, w2 = 4964.473, dw = -0.06481, nw = 1651 131005.0026.ec.fits: ap = 62, w1 = 5026.926, w2 = 4920.935, dw = -0.06424, nw = 1651 131005.0026.ec.fits: ap = 63, w1 = 4983.222, w2 = 4878.154, dw = -0.06368, nw = 1651 131005.0026.ec.fits: ap = 64, w1 = 4940.272, w2 = 4836.111, dw = -0.06313, nw = 1651 131005.0026.ec.fits: ap = 65, w1 = 4898.055, w2 = 4794.786, dw = -0.06259, nw = 1651 131005.0026.ec.fits: ap = 66, w1 = 4856.555, w2 = 4754.163, dw = -0.06206, nw = 1651 131005.0026.ec.fits: ap = 67, w1 = 4815.751, w2 = 4714.221, dw = -0.06153, nw = 1651 131005.0026.ec.fits: ap = 68, w1 = 4775.628, w2 = 4674.946, dw = -0.06102, nw = 1651 131005.0026.ec.fits: ap = 69, w1 = 4736.168, w2 = 4636.32, dw = -0.06051, nw = 1651 131005.0026.ec.fits: ap = 70, w1 = 4697.355, w2 = 4598.327, dw = -0.06002, nw = 1651 131005.0026.ec.fits: ap = 71, w1 = 4659.174, w2 = 4560.952, dw = -0.05953, nw = 1651 131005.0026.ec.fits: ap = 72, w1 = 4621.608, w2 = 4524.181, dw = -0.05905, nw = 1651 131005.0026.ec.fits: ap = 73, w1 = 4584.643, w2 = 4487.997, dw = -0.05857, nw = 1651 131005.0026.ec.fits: ap = 74, w1 = 4548.265, w2 = 4452.388, dw = -0.05811, nw = 1651 131005.0026.ec.fits: ap = 75, w1 = 4512.46, w2 = 4417.34, dw = -0.05765, nw = 1651 131005.0026.ec.fits: ap = 76, w1 = 4477.214, w2 = 4382.839, dw = -0.0572, nw = 1651 131005.0026.ec.fits: ap = 77, w1 = 4442.515, w2 = 4348.873, dw = -0.05675, nw = 1651 131005.0026.ec.fits: ap = 78, w1 = 4408.35, w2 = 4315.43, dw = -0.05632, nw = 1651 131005.0026.ec.fits: ap = 79, w1 = 4374.706, w2 = 4282.498, dw = -0.05588, nw = 1651 131005.0026.ec.fits: ap = 80, w1 = 4341.573, w2 = 4250.065, dw = -0.05546, nw = 1651 131005.0026.ec.fits: ap = 81, w1 = 4308.937, w2 = 4218.119, dw = -0.05504, nw = 1651 131005.0026.ec.fits: ap = 82, w1 = 4276.789, w2 = 4186.651, dw = -0.05463, nw = 1651 131005.0026.ec.fits: ap = 83, w1 = 4245.116, w2 = 4155.648, dw = -0.05422, nw = 1651 131005.0026.ec.fits: ap = 84, w1 = 4213.91, w2 = 4125.102, dw = -0.05382, nw = 1651 131005.0026.ec.fits: ap = 85, w1 = 4183.159, w2 = 4095.001, dw = -0.05343, nw = 1651 131005.0026.ec.fits: ap = 86, w1 = 4152.854, w2 = 4065.337, dw = -0.05304, nw = 1651 131005.0026.ec.fits: ap = 87, w1 = 4122.984, w2 = 4036.1, dw = -0.05266, nw = 1651 131005.0026.ec.fits: ap = 88, w1 = 4093.542, w2 = 4007.28, dw = -0.05228, nw = 1651 131005.0026.ec.fits: ap = 89, w1 = 4064.517, w2 = 3978.87, dw = -0.05191, nw = 1651 131005.0026.ec.fits: ap = 90, w1 = 4035.901, w2 = 3950.859, dw = -0.05154, nw = 1651 131005.0026.ec.fits: ap = 91, w1 = 4007.685, w2 = 3923.241, dw = -0.05118, nw = 1651 131005.0026.ec.fits: ap = 92, w1 = 3979.86, w2 = 3896.005, dw = -0.05082, nw = 1651 131005.0026.ec.fits: ap = 93, w1 = 3952.42, w2 = 3869.146, dw = -0.05047, nw = 1651 131005.0026.ec.fits: ap = 94, w1 = 3925.355, w2 = 3842.654, dw = -0.05012, nw = 1651 131005.0026.ec.fits: ap = 95, w1 = 3898.659, w2 = 3816.524, dw = -0.04978, nw = 1651 131005.0026.ec.fits: ap = 96, w1 = 3872.323, w2 = 3790.746, dw = -0.04944, nw = 1651 131005.0026.ec.fits: ap = 97, w1 = 3846.34, w2 = 3765.314, dw = -0.04911, nw = 1651 131005.0026.ec.fits: ap = 98, w1 = 3820.704, w2 = 3740.222, dw = -0.04878, nw = 1651 131005.0026.ec.fits: ap = 99, w1 = 3795.408, w2 = 3715.461, dw = -0.04845, nw = 1651 131005.0026.ec.fits: ap = 100, w1 = 3770.444, w2 = 3691.027, dw = -0.04813, nw = 1651 131005.0026.ec.fits: ap = 101, w1 = 3745.806, w2 = 3666.912, dw = -0.04781, nw = 1651 131005.0026.ec.fits: ap = 102, w1 = 3721.489, w2 = 3643.11, dw = -0.0475, nw = 1651 131005.0026.ec.fits: ap = 103, w1 = 3697.484, w2 = 3619.616, dw = -0.04719, nw = 1651 131005.0026.ec.fits: ap = 104, w1 = 3673.788, w2 = 3596.422, dw = -0.04689, nw = 1651 131005.0026.ec.fits: ap = 105, w1 = 3650.393, w2 = 3573.524, dw = -0.04659, nw = 1651 131005.0026.ec.fits: ap = 106, w1 = 3627.294, w2 = 3550.916, dw = -0.04629, nw = 1651 131005.0026.ec.fits: ap = 107, w1 = 3604.485, w2 = 3528.592, dw = -0.046, nw = 1651 131005.0026.ec.fits: ap = 108, w1 = 3581.962, w2 = 3506.547, dw = -0.04571, nw = 1651 131005.0026.ec.fits: ap = 109, w1 = 3559.718, w2 = 3484.776, dw = -0.04542, nw = 1651 131005.0026.ec.fits: ap = 110, w1 = 3537.748, w2 = 3463.274, dw = -0.04514, nw = 1651 131005.0026.ec.fits: ap = 111, w1 = 3516.048, w2 = 3442.036, dw = -0.04486, nw = 1651 131005.0026.ec.fits: ap = 112, w1 = 3494.613, w2 = 3421.057, dw = -0.04458, nw = 1651 131005.0026.ec.fits: ap = 113, w1 = 3473.437, w2 = 3400.332, dw = -0.04431, nw = 1651 131005.0026.ec.fits: ap = 114, w1 = 3452.515, w2 = 3379.856, dw = -0.04404, nw = 1651 131005.0026.ec.fits: ap = 115, w1 = 3431.845, w2 = 3359.626, dw = -0.04377, nw = 1651 131005.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.75801069' 131005.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0030.ec 0.24198933' 131005.0028.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.54, dw = -0.13827, nw = 1651 131005.0028.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.57, dw = -0.13571, nw = 1651 131005.0028.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.72, dw = -0.13324, nw = 1651 131005.0028.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.62, dw = -0.13086, nw = 1651 131005.0028.ec.fits: ap = 5, w1 = 10053.04, w2 = 9840.903, dw = -0.12857, nw = 1651 131005.0028.ec.fits: ap = 6, w1 = 9879.727, w2 = 9671.249, dw = -0.12635, nw = 1651 131005.0028.ec.fits: ap = 7, w1 = 9712.29, w2 = 9507.346, dw = -0.12421, nw = 1651 131005.0028.ec.fits: ap = 8, w1 = 9550.434, w2 = 9348.906, dw = -0.12214, nw = 1651 131005.0028.ec.fits: ap = 9, w1 = 9393.884, w2 = 9195.66, dw = -0.12014, nw = 1651 131005.0028.ec.fits: ap = 10, w1 = 9242.384, w2 = 9047.357, dw = -0.1182, nw = 1651 131005.0028.ec.fits: ap = 11, w1 = 9095.693, w2 = 8903.763, dw = -0.11632, nw = 1651 131005.0028.ec.fits: ap = 12, w1 = 8953.586, w2 = 8764.655, dw = -0.1145, nw = 1651 131005.0028.ec.fits: ap = 13, w1 = 8815.851, w2 = 8629.828, dw = -0.11274, nw = 1651 131005.0028.ec.fits: ap = 14, w1 = 8682.29, w2 = 8499.087, dw = -0.11103, nw = 1651 131005.0028.ec.fits: ap = 15, w1 = 8552.716, w2 = 8372.249, dw = -0.10937, nw = 1651 131005.0028.ec.fits: ap = 16, w1 = 8426.952, w2 = 8249.14, dw = -0.10776, nw = 1651 131005.0028.ec.fits: ap = 17, w1 = 8304.834, w2 = 8129.6, dw = -0.1062, nw = 1651 131005.0028.ec.fits: ap = 18, w1 = 8186.204, w2 = 8013.476, dw = -0.10468, nw = 1651 131005.0028.ec.fits: ap = 19, w1 = 8070.916, w2 = 7900.622, dw = -0.10321, nw = 1651 131005.0028.ec.fits: ap = 20, w1 = 7958.83, w2 = 7790.903, dw = -0.10177, nw = 1651 131005.0028.ec.fits: ap = 21, w1 = 7849.815, w2 = 7684.191, dw = -0.10038, nw = 1651 131005.0028.ec.fits: ap = 22, w1 = 7743.747, w2 = 7580.362, dw = -0.09902, nw = 1651 131005.0028.ec.fits: ap = 23, w1 = 7640.507, w2 = 7479.302, dw = -0.0977, nw = 1651 131005.0028.ec.fits: ap = 24, w1 = 7539.983, w2 = 7380.902, dw = -0.09641, nw = 1651 131005.0028.ec.fits: ap = 25, w1 = 7442.071, w2 = 7285.057, dw = -0.09516, nw = 1651 131005.0028.ec.fits: ap = 26, w1 = 7346.669, w2 = 7191.67, dw = -0.09394, nw = 1651 131005.0028.ec.fits: ap = 27, w1 = 7253.682, w2 = 7100.647, dw = -0.09275, nw = 1651 131005.0028.ec.fits: ap = 28, w1 = 7163.02, w2 = 7011.9, dw = -0.09159, nw = 1651 131005.0028.ec.fits: ap = 29, w1 = 7074.597, w2 = 6925.344, dw = -0.09046, nw = 1651 131005.0028.ec.fits: ap = 30, w1 = 6988.33, w2 = 6840.9, dw = -0.08935, nw = 1651 131005.0028.ec.fits: ap = 31, w1 = 6904.142, w2 = 6758.49, dw = -0.08827, nw = 1651 131005.0028.ec.fits: ap = 32, w1 = 6821.958, w2 = 6678.042, dw = -0.08722, nw = 1651 131005.0028.ec.fits: ap = 33, w1 = 6741.708, w2 = 6599.488, dw = -0.08619, nw = 1651 131005.0028.ec.fits: ap = 34, w1 = 6663.324, w2 = 6522.76, dw = -0.08519, nw = 1651 131005.0028.ec.fits: ap = 35, w1 = 6586.743, w2 = 6447.796, dw = -0.08421, nw = 1651 131005.0028.ec.fits: ap = 36, w1 = 6511.902, w2 = 6374.536, dw = -0.08325, nw = 1651 131005.0028.ec.fits: ap = 37, w1 = 6438.743, w2 = 6302.922, dw = -0.08232, nw = 1651 131005.0028.ec.fits: ap = 38, w1 = 6367.209, w2 = 6232.9, dw = -0.0814, nw = 1651 131005.0028.ec.fits: ap = 39, w1 = 6297.248, w2 = 6164.417, dw = -0.0805, nw = 1651 131005.0028.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.422, dw = -0.07963, nw = 1651 131005.0028.ec.fits: ap = 41, w1 = 6161.839, w2 = 6031.868, dw = -0.07877, nw = 1651 131005.0028.ec.fits: ap = 42, w1 = 6096.296, w2 = 5967.71, dw = -0.07793, nw = 1651 131005.0028.ec.fits: ap = 43, w1 = 6032.133, w2 = 5904.902, dw = -0.07711, nw = 1651 131005.0028.ec.fits: ap = 44, w1 = 5969.306, w2 = 5843.402, dw = -0.07631, nw = 1651 131005.0028.ec.fits: ap = 45, w1 = 5907.775, w2 = 5783.171, dw = -0.07552, nw = 1651 131005.0028.ec.fits: ap = 46, w1 = 5847.499, w2 = 5724.169, dw = -0.07475, nw = 1651 131005.0028.ec.fits: ap = 47, w1 = 5788.442, w2 = 5666.359, dw = -0.07399, nw = 1651 131005.0028.ec.fits: ap = 48, w1 = 5730.565, w2 = 5609.705, dw = -0.07325, nw = 1651 131005.0028.ec.fits: ap = 49, w1 = 5673.835, w2 = 5554.173, dw = -0.07252, nw = 1651 131005.0028.ec.fits: ap = 50, w1 = 5618.217, w2 = 5499.73, dw = -0.07181, nw = 1651 131005.0028.ec.fits: ap = 51, w1 = 5563.68, w2 = 5446.345, dw = -0.07111, nw = 1651 131005.0028.ec.fits: ap = 52, w1 = 5510.191, w2 = 5393.986, dw = -0.07043, nw = 1651 131005.0028.ec.fits: ap = 53, w1 = 5457.721, w2 = 5342.625, dw = -0.06976, nw = 1651 131005.0028.ec.fits: ap = 54, w1 = 5406.241, w2 = 5292.232, dw = -0.0691, nw = 1651 131005.0028.ec.fits: ap = 55, w1 = 5355.723, w2 = 5242.782, dw = -0.06845, nw = 1651 131005.0028.ec.fits: ap = 56, w1 = 5306.141, w2 = 5194.247, dw = -0.06781, nw = 1651 131005.0028.ec.fits: ap = 57, w1 = 5257.469, w2 = 5146.604, dw = -0.06719, nw = 1651 131005.0028.ec.fits: ap = 58, w1 = 5209.682, w2 = 5099.826, dw = -0.06658, nw = 1651 131005.0028.ec.fits: ap = 59, w1 = 5162.756, w2 = 5053.891, dw = -0.06598, nw = 1651 131005.0028.ec.fits: ap = 60, w1 = 5116.668, w2 = 5008.777, dw = -0.06539, nw = 1651 131005.0028.ec.fits: ap = 61, w1 = 5071.396, w2 = 4964.462, dw = -0.06481, nw = 1651 131005.0028.ec.fits: ap = 62, w1 = 5026.918, w2 = 4920.923, dw = -0.06424, nw = 1651 131005.0028.ec.fits: ap = 63, w1 = 4983.214, w2 = 4878.143, dw = -0.06368, nw = 1651 131005.0028.ec.fits: ap = 64, w1 = 4940.264, w2 = 4836.099, dw = -0.06313, nw = 1651 131005.0028.ec.fits: ap = 65, w1 = 4898.047, w2 = 4794.775, dw = -0.06259, nw = 1651 131005.0028.ec.fits: ap = 66, w1 = 4856.546, w2 = 4754.151, dw = -0.06206, nw = 1651 131005.0028.ec.fits: ap = 67, w1 = 4815.743, w2 = 4714.21, dw = -0.06154, nw = 1651 131005.0028.ec.fits: ap = 68, w1 = 4775.62, w2 = 4674.935, dw = -0.06102, nw = 1651 131005.0028.ec.fits: ap = 69, w1 = 4736.16, w2 = 4636.309, dw = -0.06052, nw = 1651 131005.0028.ec.fits: ap = 70, w1 = 4697.347, w2 = 4598.316, dw = -0.06002, nw = 1651 131005.0028.ec.fits: ap = 71, w1 = 4659.166, w2 = 4560.941, dw = -0.05953, nw = 1651 131005.0028.ec.fits: ap = 72, w1 = 4621.6, w2 = 4524.169, dw = -0.05905, nw = 1651 131005.0028.ec.fits: ap = 73, w1 = 4584.635, w2 = 4487.986, dw = -0.05858, nw = 1651 131005.0028.ec.fits: ap = 74, w1 = 4548.257, w2 = 4452.376, dw = -0.05811, nw = 1651 131005.0028.ec.fits: ap = 75, w1 = 4512.452, w2 = 4417.328, dw = -0.05765, nw = 1651 131005.0028.ec.fits: ap = 76, w1 = 4477.206, w2 = 4382.828, dw = -0.0572, nw = 1651 131005.0028.ec.fits: ap = 77, w1 = 4442.507, w2 = 4348.862, dw = -0.05675, nw = 1651 131005.0028.ec.fits: ap = 78, w1 = 4408.342, w2 = 4315.419, dw = -0.05632, nw = 1651 131005.0028.ec.fits: ap = 79, w1 = 4374.698, w2 = 4282.487, dw = -0.05589, nw = 1651 131005.0028.ec.fits: ap = 80, w1 = 4341.564, w2 = 4250.053, dw = -0.05546, nw = 1651 131005.0028.ec.fits: ap = 81, w1 = 4308.929, w2 = 4218.108, dw = -0.05504, nw = 1651 131005.0028.ec.fits: ap = 82, w1 = 4276.78, w2 = 4186.639, dw = -0.05463, nw = 1651 131005.0028.ec.fits: ap = 83, w1 = 4245.107, w2 = 4155.636, dw = -0.05422, nw = 1651 131005.0028.ec.fits: ap = 84, w1 = 4213.901, w2 = 4125.09, dw = -0.05382, nw = 1651 131005.0028.ec.fits: ap = 85, w1 = 4183.15, w2 = 4094.989, dw = -0.05343, nw = 1651 131005.0028.ec.fits: ap = 86, w1 = 4152.845, w2 = 4065.325, dw = -0.05304, nw = 1651 131005.0028.ec.fits: ap = 87, w1 = 4122.975, w2 = 4036.088, dw = -0.05266, nw = 1651 131005.0028.ec.fits: ap = 88, w1 = 4093.533, w2 = 4007.269, dw = -0.05228, nw = 1651 131005.0028.ec.fits: ap = 89, w1 = 4064.508, w2 = 3978.858, dw = -0.05191, nw = 1651 131005.0028.ec.fits: ap = 90, w1 = 4035.892, w2 = 3950.848, dw = -0.05154, nw = 1651 131005.0028.ec.fits: ap = 91, w1 = 4007.676, w2 = 3923.229, dw = -0.05118, nw = 1651 131005.0028.ec.fits: ap = 92, w1 = 3979.852, w2 = 3895.994, dw = -0.05082, nw = 1651 131005.0028.ec.fits: ap = 93, w1 = 3952.411, w2 = 3869.135, dw = -0.05047, nw = 1651 131005.0028.ec.fits: ap = 94, w1 = 3925.347, w2 = 3842.643, dw = -0.05012, nw = 1651 131005.0028.ec.fits: ap = 95, w1 = 3898.65, w2 = 3816.513, dw = -0.04978, nw = 1651 131005.0028.ec.fits: ap = 96, w1 = 3872.315, w2 = 3790.735, dw = -0.04944, nw = 1651 131005.0028.ec.fits: ap = 97, w1 = 3846.332, w2 = 3765.303, dw = -0.04911, nw = 1651 131005.0028.ec.fits: ap = 98, w1 = 3820.696, w2 = 3740.211, dw = -0.04878, nw = 1651 131005.0028.ec.fits: ap = 99, w1 = 3795.4, w2 = 3715.451, dw = -0.04845, nw = 1651 131005.0028.ec.fits: ap = 100, w1 = 3770.436, w2 = 3691.017, dw = -0.04813, nw = 1651 131005.0028.ec.fits: ap = 101, w1 = 3745.798, w2 = 3666.901, dw = -0.04782, nw = 1651 131005.0028.ec.fits: ap = 102, w1 = 3721.48, w2 = 3643.099, dw = -0.0475, nw = 1651 131005.0028.ec.fits: ap = 103, w1 = 3697.476, w2 = 3619.605, dw = -0.04719, nw = 1651 131005.0028.ec.fits: ap = 104, w1 = 3673.779, w2 = 3596.411, dw = -0.04689, nw = 1651 131005.0028.ec.fits: ap = 105, w1 = 3650.385, w2 = 3573.513, dw = -0.04659, nw = 1651 131005.0028.ec.fits: ap = 106, w1 = 3627.286, w2 = 3550.905, dw = -0.04629, nw = 1651 131005.0028.ec.fits: ap = 107, w1 = 3604.477, w2 = 3528.582, dw = -0.046, nw = 1651 131005.0028.ec.fits: ap = 108, w1 = 3581.954, w2 = 3506.537, dw = -0.04571, nw = 1651 131005.0028.ec.fits: ap = 109, w1 = 3559.71, w2 = 3484.766, dw = -0.04542, nw = 1651 131005.0028.ec.fits: ap = 110, w1 = 3537.741, w2 = 3463.264, dw = -0.04514, nw = 1651 131005.0028.ec.fits: ap = 111, w1 = 3516.041, w2 = 3442.026, dw = -0.04486, nw = 1651 131005.0028.ec.fits: ap = 112, w1 = 3494.605, w2 = 3421.047, dw = -0.04458, nw = 1651 131005.0028.ec.fits: ap = 113, w1 = 3473.429, w2 = 3400.322, dw = -0.04431, nw = 1651 131005.0028.ec.fits: ap = 114, w1 = 3452.508, w2 = 3379.847, dw = -0.04404, nw = 1651 131005.0028.ec.fits: ap = 115, w1 = 3431.837, w2 = 3359.617, dw = -0.04377, nw = 1651 131005.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 0.28754377' 131005.0029.ec.fits: REFSPEC2 = 'EchelleThAr.0030.ec 0.71245623' 131005.0029.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.53, dw = -0.13827, nw = 1651 131005.0029.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.56, dw = -0.13571, nw = 1651 131005.0029.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.71, dw = -0.13324, nw = 1651 131005.0029.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.61, dw = -0.13086, nw = 1651 131005.0029.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.894, dw = -0.12857, nw = 1651 131005.0029.ec.fits: ap = 6, w1 = 9879.716, w2 = 9671.239, dw = -0.12635, nw = 1651 131005.0029.ec.fits: ap = 7, w1 = 9712.278, w2 = 9507.335, dw = -0.12421, nw = 1651 131005.0029.ec.fits: ap = 8, w1 = 9550.421, w2 = 9348.895, dw = -0.12214, nw = 1651 131005.0029.ec.fits: ap = 9, w1 = 9393.87, w2 = 9195.649, dw = -0.12013, nw = 1651 131005.0029.ec.fits: ap = 10, w1 = 9242.37, w2 = 9047.346, dw = -0.1182, nw = 1651 131005.0029.ec.fits: ap = 11, w1 = 9095.679, w2 = 8903.751, dw = -0.11632, nw = 1651 131005.0029.ec.fits: ap = 12, w1 = 8953.572, w2 = 8764.644, dw = -0.1145, nw = 1651 131005.0029.ec.fits: ap = 13, w1 = 8815.837, w2 = 8629.817, dw = -0.11274, nw = 1651 131005.0029.ec.fits: ap = 14, w1 = 8682.276, w2 = 8499.076, dw = -0.11103, nw = 1651 131005.0029.ec.fits: ap = 15, w1 = 8552.702, w2 = 8372.237, dw = -0.10937, nw = 1651 131005.0029.ec.fits: ap = 16, w1 = 8426.939, w2 = 8249.128, dw = -0.10776, nw = 1651 131005.0029.ec.fits: ap = 17, w1 = 8304.821, w2 = 8129.588, dw = -0.1062, nw = 1651 131005.0029.ec.fits: ap = 18, w1 = 8186.192, w2 = 8013.464, dw = -0.10468, nw = 1651 131005.0029.ec.fits: ap = 19, w1 = 8070.904, w2 = 7900.611, dw = -0.10321, nw = 1651 131005.0029.ec.fits: ap = 20, w1 = 7958.819, w2 = 7790.892, dw = -0.10177, nw = 1651 131005.0029.ec.fits: ap = 21, w1 = 7849.805, w2 = 7684.179, dw = -0.10038, nw = 1651 131005.0029.ec.fits: ap = 22, w1 = 7743.737, w2 = 7580.351, dw = -0.09902, nw = 1651 131005.0029.ec.fits: ap = 23, w1 = 7640.497, w2 = 7479.291, dw = -0.0977, nw = 1651 131005.0029.ec.fits: ap = 24, w1 = 7539.974, w2 = 7380.891, dw = -0.09641, nw = 1651 131005.0029.ec.fits: ap = 25, w1 = 7442.062, w2 = 7285.047, dw = -0.09516, nw = 1651 131005.0029.ec.fits: ap = 26, w1 = 7346.661, w2 = 7191.66, dw = -0.09394, nw = 1651 131005.0029.ec.fits: ap = 27, w1 = 7253.675, w2 = 7100.637, dw = -0.09275, nw = 1651 131005.0029.ec.fits: ap = 28, w1 = 7163.013, w2 = 7011.89, dw = -0.09159, nw = 1651 131005.0029.ec.fits: ap = 29, w1 = 7074.59, w2 = 6925.335, dw = -0.09046, nw = 1651 131005.0029.ec.fits: ap = 30, w1 = 6988.324, w2 = 6840.89, dw = -0.08935, nw = 1651 131005.0029.ec.fits: ap = 31, w1 = 6904.137, w2 = 6758.481, dw = -0.08828, nw = 1651 131005.0029.ec.fits: ap = 32, w1 = 6821.953, w2 = 6678.033, dw = -0.08722, nw = 1651 131005.0029.ec.fits: ap = 33, w1 = 6741.704, w2 = 6599.479, dw = -0.0862, nw = 1651 131005.0029.ec.fits: ap = 34, w1 = 6663.321, w2 = 6522.751, dw = -0.08519, nw = 1651 131005.0029.ec.fits: ap = 35, w1 = 6586.74, w2 = 6447.788, dw = -0.08421, nw = 1651 131005.0029.ec.fits: ap = 36, w1 = 6511.899, w2 = 6374.528, dw = -0.08326, nw = 1651 131005.0029.ec.fits: ap = 37, w1 = 6438.74, w2 = 6302.914, dw = -0.08232, nw = 1651 131005.0029.ec.fits: ap = 38, w1 = 6367.207, w2 = 6232.892, dw = -0.0814, nw = 1651 131005.0029.ec.fits: ap = 39, w1 = 6297.246, w2 = 6164.409, dw = -0.08051, nw = 1651 131005.0029.ec.fits: ap = 40, w1 = 6228.806, w2 = 6097.415, dw = -0.07963, nw = 1651 131005.0029.ec.fits: ap = 41, w1 = 6161.838, w2 = 6031.861, dw = -0.07877, nw = 1651 131005.0029.ec.fits: ap = 42, w1 = 6096.295, w2 = 5967.703, dw = -0.07793, nw = 1651 131005.0029.ec.fits: ap = 43, w1 = 6032.131, w2 = 5904.895, dw = -0.07711, nw = 1651 131005.0029.ec.fits: ap = 44, w1 = 5969.305, w2 = 5843.396, dw = -0.07631, nw = 1651 131005.0029.ec.fits: ap = 45, w1 = 5907.774, w2 = 5783.164, dw = -0.07552, nw = 1651 131005.0029.ec.fits: ap = 46, w1 = 5847.498, w2 = 5724.163, dw = -0.07475, nw = 1651 131005.0029.ec.fits: ap = 47, w1 = 5788.441, w2 = 5666.353, dw = -0.07399, nw = 1651 131005.0029.ec.fits: ap = 48, w1 = 5730.564, w2 = 5609.699, dw = -0.07325, nw = 1651 131005.0029.ec.fits: ap = 49, w1 = 5673.834, w2 = 5554.167, dw = -0.07253, nw = 1651 131005.0029.ec.fits: ap = 50, w1 = 5618.216, w2 = 5499.725, dw = -0.07181, nw = 1651 131005.0029.ec.fits: ap = 51, w1 = 5563.678, w2 = 5446.339, dw = -0.07111, nw = 1651 131005.0029.ec.fits: ap = 52, w1 = 5510.189, w2 = 5393.98, dw = -0.07043, nw = 1651 131005.0029.ec.fits: ap = 53, w1 = 5457.719, w2 = 5342.619, dw = -0.06976, nw = 1651 131005.0029.ec.fits: ap = 54, w1 = 5406.239, w2 = 5292.227, dw = -0.0691, nw = 1651 131005.0029.ec.fits: ap = 55, w1 = 5355.721, w2 = 5242.776, dw = -0.06845, nw = 1651 131005.0029.ec.fits: ap = 56, w1 = 5306.139, w2 = 5194.242, dw = -0.06782, nw = 1651 131005.0029.ec.fits: ap = 57, w1 = 5257.467, w2 = 5146.598, dw = -0.06719, nw = 1651 131005.0029.ec.fits: ap = 58, w1 = 5209.679, w2 = 5099.821, dw = -0.06658, nw = 1651 131005.0029.ec.fits: ap = 59, w1 = 5162.753, w2 = 5053.886, dw = -0.06598, nw = 1651 131005.0029.ec.fits: ap = 60, w1 = 5116.665, w2 = 5008.772, dw = -0.06539, nw = 1651 131005.0029.ec.fits: ap = 61, w1 = 5071.392, w2 = 4964.456, dw = -0.06481, nw = 1651 131005.0029.ec.fits: ap = 62, w1 = 5026.914, w2 = 4920.918, dw = -0.06424, nw = 1651 131005.0029.ec.fits: ap = 63, w1 = 4983.21, w2 = 4878.137, dw = -0.06368, nw = 1651 131005.0029.ec.fits: ap = 64, w1 = 4940.259, w2 = 4836.094, dw = -0.06313, nw = 1651 131005.0029.ec.fits: ap = 65, w1 = 4898.042, w2 = 4794.769, dw = -0.06259, nw = 1651 131005.0029.ec.fits: ap = 66, w1 = 4856.541, w2 = 4754.145, dw = -0.06206, nw = 1651 131005.0029.ec.fits: ap = 67, w1 = 4815.738, w2 = 4714.204, dw = -0.06154, nw = 1651 131005.0029.ec.fits: ap = 68, w1 = 4775.614, w2 = 4674.929, dw = -0.06102, nw = 1651 131005.0029.ec.fits: ap = 69, w1 = 4736.154, w2 = 4636.303, dw = -0.06052, nw = 1651 131005.0029.ec.fits: ap = 70, w1 = 4697.341, w2 = 4598.31, dw = -0.06002, nw = 1651 131005.0029.ec.fits: ap = 71, w1 = 4659.159, w2 = 4560.935, dw = -0.05953, nw = 1651 131005.0029.ec.fits: ap = 72, w1 = 4621.593, w2 = 4524.163, dw = -0.05905, nw = 1651 131005.0029.ec.fits: ap = 73, w1 = 4584.628, w2 = 4487.979, dw = -0.05858, nw = 1651 131005.0029.ec.fits: ap = 74, w1 = 4548.25, w2 = 4452.37, dw = -0.05811, nw = 1651 131005.0029.ec.fits: ap = 75, w1 = 4512.445, w2 = 4417.321, dw = -0.05765, nw = 1651 131005.0029.ec.fits: ap = 76, w1 = 4477.199, w2 = 4382.82, dw = -0.0572, nw = 1651 131005.0029.ec.fits: ap = 77, w1 = 4442.5, w2 = 4348.854, dw = -0.05675, nw = 1651 131005.0029.ec.fits: ap = 78, w1 = 4408.335, w2 = 4315.411, dw = -0.05632, nw = 1651 131005.0029.ec.fits: ap = 79, w1 = 4374.691, w2 = 4282.479, dw = -0.05589, nw = 1651 131005.0029.ec.fits: ap = 80, w1 = 4341.558, w2 = 4250.045, dw = -0.05546, nw = 1651 131005.0029.ec.fits: ap = 81, w1 = 4308.922, w2 = 4218.099, dw = -0.05504, nw = 1651 131005.0029.ec.fits: ap = 82, w1 = 4276.774, w2 = 4186.63, dw = -0.05463, nw = 1651 131005.0029.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.627, dw = -0.05423, nw = 1651 131005.0029.ec.fits: ap = 84, w1 = 4213.896, w2 = 4125.081, dw = -0.05383, nw = 1651 131005.0029.ec.fits: ap = 85, w1 = 4183.145, w2 = 4094.98, dw = -0.05343, nw = 1651 131005.0029.ec.fits: ap = 86, w1 = 4152.84, w2 = 4065.315, dw = -0.05305, nw = 1651 131005.0029.ec.fits: ap = 87, w1 = 4122.972, w2 = 4036.078, dw = -0.05266, nw = 1651 131005.0029.ec.fits: ap = 88, w1 = 4093.53, w2 = 4007.258, dw = -0.05229, nw = 1651 131005.0029.ec.fits: ap = 89, w1 = 4064.506, w2 = 3978.847, dw = -0.05191, nw = 1651 131005.0029.ec.fits: ap = 90, w1 = 4035.89, w2 = 3950.836, dw = -0.05155, nw = 1651 131005.0029.ec.fits: ap = 91, w1 = 4007.675, w2 = 3923.217, dw = -0.05119, nw = 1651 131005.0029.ec.fits: ap = 92, w1 = 3979.852, w2 = 3895.982, dw = -0.05083, nw = 1651 131005.0029.ec.fits: ap = 93, w1 = 3952.413, w2 = 3869.122, dw = -0.05048, nw = 1651 131005.0029.ec.fits: ap = 94, w1 = 3925.35, w2 = 3842.63, dw = -0.05013, nw = 1651 131005.0029.ec.fits: ap = 95, w1 = 3898.655, w2 = 3816.499, dw = -0.04979, nw = 1651 131005.0029.ec.fits: ap = 96, w1 = 3872.32, w2 = 3790.721, dw = -0.04945, nw = 1651 131005.0029.ec.fits: ap = 97, w1 = 3846.339, w2 = 3765.289, dw = -0.04912, nw = 1651 131005.0029.ec.fits: ap = 98, w1 = 3820.705, w2 = 3740.196, dw = -0.04879, nw = 1651 131005.0029.ec.fits: ap = 99, w1 = 3795.411, w2 = 3715.435, dw = -0.04847, nw = 1651 131005.0029.ec.fits: ap = 100, w1 = 3770.449, w2 = 3691., dw = -0.04815, nw = 1651 131005.0029.ec.fits: ap = 101, w1 = 3745.813, w2 = 3666.885, dw = -0.04784, nw = 1651 131005.0029.ec.fits: ap = 102, w1 = 3721.497, w2 = 3643.082, dw = -0.04752, nw = 1651 131005.0029.ec.fits: ap = 103, w1 = 3697.496, w2 = 3619.587, dw = -0.04722, nw = 1651 131005.0029.ec.fits: ap = 104, w1 = 3673.802, w2 = 3596.393, dw = -0.04691, nw = 1651 131005.0029.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.495, dw = -0.04661, nw = 1651 131005.0029.ec.fits: ap = 106, w1 = 3627.314, w2 = 3550.886, dw = -0.04632, nw = 1651 131005.0029.ec.fits: ap = 107, w1 = 3604.508, w2 = 3528.562, dw = -0.04603, nw = 1651 131005.0029.ec.fits: ap = 108, w1 = 3581.988, w2 = 3506.517, dw = -0.04574, nw = 1651 131005.0029.ec.fits: ap = 109, w1 = 3559.747, w2 = 3484.746, dw = -0.04546, nw = 1651 131005.0029.ec.fits: ap = 110, w1 = 3537.782, w2 = 3463.243, dw = -0.04517, nw = 1651 131005.0029.ec.fits: ap = 111, w1 = 3516.085, w2 = 3442.004, dw = -0.0449, nw = 1651 131005.0029.ec.fits: ap = 112, w1 = 3494.654, w2 = 3421.025, dw = -0.04462, nw = 1651 131005.0029.ec.fits: ap = 113, w1 = 3473.482, w2 = 3400.299, dw = -0.04435, nw = 1651 131005.0029.ec.fits: ap = 114, w1 = 3452.565, w2 = 3379.823, dw = -0.04409, nw = 1651 131005.0029.ec.fits: ap = 115, w1 = 3431.899, w2 = 3359.593, dw = -0.04382, nw = 1651 131005.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0030.ec 0.49835327' 131005.0031.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.50164676' 131005.0031.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.52, dw = -0.13827, nw = 1651 131005.0031.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.55, dw = -0.13571, nw = 1651 131005.0031.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.7, dw = -0.13324, nw = 1651 131005.0031.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.6, dw = -0.13086, nw = 1651 131005.0031.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.883, dw = -0.12856, nw = 1651 131005.0031.ec.fits: ap = 6, w1 = 9879.702, w2 = 9671.228, dw = -0.12635, nw = 1651 131005.0031.ec.fits: ap = 7, w1 = 9712.265, w2 = 9507.325, dw = -0.12421, nw = 1651 131005.0031.ec.fits: ap = 8, w1 = 9550.408, w2 = 9348.884, dw = -0.12214, nw = 1651 131005.0031.ec.fits: ap = 9, w1 = 9393.858, w2 = 9195.638, dw = -0.12013, nw = 1651 131005.0031.ec.fits: ap = 10, w1 = 9242.358, w2 = 9047.336, dw = -0.1182, nw = 1651 131005.0031.ec.fits: ap = 11, w1 = 9095.668, w2 = 8903.741, dw = -0.11632, nw = 1651 131005.0031.ec.fits: ap = 12, w1 = 8953.561, w2 = 8764.634, dw = -0.1145, nw = 1651 131005.0031.ec.fits: ap = 13, w1 = 8815.827, w2 = 8629.806, dw = -0.11274, nw = 1651 131005.0031.ec.fits: ap = 14, w1 = 8682.266, w2 = 8499.065, dw = -0.11103, nw = 1651 131005.0031.ec.fits: ap = 15, w1 = 8552.692, w2 = 8372.226, dw = -0.10937, nw = 1651 131005.0031.ec.fits: ap = 16, w1 = 8426.929, w2 = 8249.118, dw = -0.10776, nw = 1651 131005.0031.ec.fits: ap = 17, w1 = 8304.811, w2 = 8129.578, dw = -0.1062, nw = 1651 131005.0031.ec.fits: ap = 18, w1 = 8186.182, w2 = 8013.453, dw = -0.10468, nw = 1651 131005.0031.ec.fits: ap = 19, w1 = 8070.895, w2 = 7900.6, dw = -0.10321, nw = 1651 131005.0031.ec.fits: ap = 20, w1 = 7958.81, w2 = 7790.881, dw = -0.10178, nw = 1651 131005.0031.ec.fits: ap = 21, w1 = 7849.796, w2 = 7684.168, dw = -0.10038, nw = 1651 131005.0031.ec.fits: ap = 22, w1 = 7743.728, w2 = 7580.34, dw = -0.09902, nw = 1651 131005.0031.ec.fits: ap = 23, w1 = 7640.49, w2 = 7479.28, dw = -0.0977, nw = 1651 131005.0031.ec.fits: ap = 24, w1 = 7539.967, w2 = 7380.88, dw = -0.09642, nw = 1651 131005.0031.ec.fits: ap = 25, w1 = 7442.055, w2 = 7285.036, dw = -0.09516, nw = 1651 131005.0031.ec.fits: ap = 26, w1 = 7346.654, w2 = 7191.649, dw = -0.09394, nw = 1651 131005.0031.ec.fits: ap = 27, w1 = 7253.668, w2 = 7100.627, dw = -0.09275, nw = 1651 131005.0031.ec.fits: ap = 28, w1 = 7163.007, w2 = 7011.88, dw = -0.09159, nw = 1651 131005.0031.ec.fits: ap = 29, w1 = 7074.584, w2 = 6925.324, dw = -0.09046, nw = 1651 131005.0031.ec.fits: ap = 30, w1 = 6988.318, w2 = 6840.88, dw = -0.08936, nw = 1651 131005.0031.ec.fits: ap = 31, w1 = 6904.131, w2 = 6758.47, dw = -0.08828, nw = 1651 131005.0031.ec.fits: ap = 32, w1 = 6821.948, w2 = 6678.023, dw = -0.08723, nw = 1651 131005.0031.ec.fits: ap = 33, w1 = 6741.699, w2 = 6599.468, dw = -0.0862, nw = 1651 131005.0031.ec.fits: ap = 34, w1 = 6663.316, w2 = 6522.741, dw = -0.0852, nw = 1651 131005.0031.ec.fits: ap = 35, w1 = 6586.735, w2 = 6447.777, dw = -0.08422, nw = 1651 131005.0031.ec.fits: ap = 36, w1 = 6511.894, w2 = 6374.518, dw = -0.08326, nw = 1651 131005.0031.ec.fits: ap = 37, w1 = 6438.735, w2 = 6302.904, dw = -0.08232, nw = 1651 131005.0031.ec.fits: ap = 38, w1 = 6367.202, w2 = 6232.882, dw = -0.08141, nw = 1651 131005.0031.ec.fits: ap = 39, w1 = 6297.242, w2 = 6164.399, dw = -0.08051, nw = 1651 131005.0031.ec.fits: ap = 40, w1 = 6228.802, w2 = 6097.405, dw = -0.07963, nw = 1651 131005.0031.ec.fits: ap = 41, w1 = 6161.834, w2 = 6031.852, dw = -0.07878, nw = 1651 131005.0031.ec.fits: ap = 42, w1 = 6096.291, w2 = 5967.693, dw = -0.07794, nw = 1651 131005.0031.ec.fits: ap = 43, w1 = 6032.127, w2 = 5904.886, dw = -0.07712, nw = 1651 131005.0031.ec.fits: ap = 44, w1 = 5969.301, w2 = 5843.386, dw = -0.07631, nw = 1651 131005.0031.ec.fits: ap = 45, w1 = 5907.77, w2 = 5783.155, dw = -0.07552, nw = 1651 131005.0031.ec.fits: ap = 46, w1 = 5847.494, w2 = 5724.154, dw = -0.07475, nw = 1651 131005.0031.ec.fits: ap = 47, w1 = 5788.437, w2 = 5666.344, dw = -0.074, nw = 1651 131005.0031.ec.fits: ap = 48, w1 = 5730.56, w2 = 5609.69, dw = -0.07325, nw = 1651 131005.0031.ec.fits: ap = 49, w1 = 5673.83, w2 = 5554.159, dw = -0.07253, nw = 1651 131005.0031.ec.fits: ap = 50, w1 = 5618.212, w2 = 5499.716, dw = -0.07182, nw = 1651 131005.0031.ec.fits: ap = 51, w1 = 5563.674, w2 = 5446.331, dw = -0.07112, nw = 1651 131005.0031.ec.fits: ap = 52, w1 = 5510.185, w2 = 5393.972, dw = -0.07043, nw = 1651 131005.0031.ec.fits: ap = 53, w1 = 5457.715, w2 = 5342.611, dw = -0.06976, nw = 1651 131005.0031.ec.fits: ap = 54, w1 = 5406.235, w2 = 5292.219, dw = -0.0691, nw = 1651 131005.0031.ec.fits: ap = 55, w1 = 5355.717, w2 = 5242.769, dw = -0.06845, nw = 1651 131005.0031.ec.fits: ap = 56, w1 = 5306.135, w2 = 5194.234, dw = -0.06782, nw = 1651 131005.0031.ec.fits: ap = 57, w1 = 5257.463, w2 = 5146.591, dw = -0.0672, nw = 1651 131005.0031.ec.fits: ap = 58, w1 = 5209.675, w2 = 5099.813, dw = -0.06658, nw = 1651 131005.0031.ec.fits: ap = 59, w1 = 5162.749, w2 = 5053.879, dw = -0.06598, nw = 1651 131005.0031.ec.fits: ap = 60, w1 = 5116.661, w2 = 5008.765, dw = -0.06539, nw = 1651 131005.0031.ec.fits: ap = 61, w1 = 5071.388, w2 = 4964.449, dw = -0.06481, nw = 1651 131005.0031.ec.fits: ap = 62, w1 = 5026.91, w2 = 4920.911, dw = -0.06424, nw = 1651 131005.0031.ec.fits: ap = 63, w1 = 4983.206, w2 = 4878.13, dw = -0.06368, nw = 1651 131005.0031.ec.fits: ap = 64, w1 = 4940.255, w2 = 4836.087, dw = -0.06313, nw = 1651 131005.0031.ec.fits: ap = 65, w1 = 4898.038, w2 = 4794.763, dw = -0.06259, nw = 1651 131005.0031.ec.fits: ap = 66, w1 = 4856.537, w2 = 4754.139, dw = -0.06206, nw = 1651 131005.0031.ec.fits: ap = 67, w1 = 4815.733, w2 = 4714.198, dw = -0.06154, nw = 1651 131005.0031.ec.fits: ap = 68, w1 = 4775.61, w2 = 4674.923, dw = -0.06102, nw = 1651 131005.0031.ec.fits: ap = 69, w1 = 4736.15, w2 = 4636.297, dw = -0.06052, nw = 1651 131005.0031.ec.fits: ap = 70, w1 = 4697.336, w2 = 4598.303, dw = -0.06002, nw = 1651 131005.0031.ec.fits: ap = 71, w1 = 4659.154, w2 = 4560.928, dw = -0.05953, nw = 1651 131005.0031.ec.fits: ap = 72, w1 = 4621.588, w2 = 4524.156, dw = -0.05905, nw = 1651 131005.0031.ec.fits: ap = 73, w1 = 4584.623, w2 = 4487.973, dw = -0.05858, nw = 1651 131005.0031.ec.fits: ap = 74, w1 = 4548.245, w2 = 4452.364, dw = -0.05811, nw = 1651 131005.0031.ec.fits: ap = 75, w1 = 4512.44, w2 = 4417.315, dw = -0.05765, nw = 1651 131005.0031.ec.fits: ap = 76, w1 = 4477.194, w2 = 4382.814, dw = -0.0572, nw = 1651 131005.0031.ec.fits: ap = 77, w1 = 4442.495, w2 = 4348.849, dw = -0.05676, nw = 1651 131005.0031.ec.fits: ap = 78, w1 = 4408.33, w2 = 4315.405, dw = -0.05632, nw = 1651 131005.0031.ec.fits: ap = 79, w1 = 4374.686, w2 = 4282.473, dw = -0.05589, nw = 1651 131005.0031.ec.fits: ap = 80, w1 = 4341.553, w2 = 4250.039, dw = -0.05546, nw = 1651 131005.0031.ec.fits: ap = 81, w1 = 4308.917, w2 = 4218.094, dw = -0.05504, nw = 1651 131005.0031.ec.fits: ap = 82, w1 = 4276.769, w2 = 4186.624, dw = -0.05463, nw = 1651 131005.0031.ec.fits: ap = 83, w1 = 4245.097, w2 = 4155.621, dw = -0.05423, nw = 1651 131005.0031.ec.fits: ap = 84, w1 = 4213.89, w2 = 4125.074, dw = -0.05383, nw = 1651 131005.0031.ec.fits: ap = 85, w1 = 4183.14, w2 = 4094.974, dw = -0.05343, nw = 1651 131005.0031.ec.fits: ap = 86, w1 = 4152.835, w2 = 4065.309, dw = -0.05305, nw = 1651 131005.0031.ec.fits: ap = 87, w1 = 4122.966, w2 = 4036.071, dw = -0.05266, nw = 1651 131005.0031.ec.fits: ap = 88, w1 = 4093.524, w2 = 4007.251, dw = -0.05229, nw = 1651 131005.0031.ec.fits: ap = 89, w1 = 4064.5, w2 = 3978.84, dw = -0.05192, nw = 1651 131005.0031.ec.fits: ap = 90, w1 = 4035.885, w2 = 3950.829, dw = -0.05155, nw = 1651 131005.0031.ec.fits: ap = 91, w1 = 4007.67, w2 = 3923.209, dw = -0.05119, nw = 1651 131005.0031.ec.fits: ap = 92, w1 = 3979.846, w2 = 3895.974, dw = -0.05083, nw = 1651 131005.0031.ec.fits: ap = 93, w1 = 3952.407, w2 = 3869.114, dw = -0.05048, nw = 1651 131005.0031.ec.fits: ap = 94, w1 = 3925.344, w2 = 3842.621, dw = -0.05013, nw = 1651 131005.0031.ec.fits: ap = 95, w1 = 3898.649, w2 = 3816.49, dw = -0.04979, nw = 1651 131005.0031.ec.fits: ap = 96, w1 = 3872.314, w2 = 3790.711, dw = -0.04946, nw = 1651 131005.0031.ec.fits: ap = 97, w1 = 3846.333, w2 = 3765.279, dw = -0.04912, nw = 1651 131005.0031.ec.fits: ap = 98, w1 = 3820.699, w2 = 3740.185, dw = -0.0488, nw = 1651 131005.0031.ec.fits: ap = 99, w1 = 3795.404, w2 = 3715.424, dw = -0.04847, nw = 1651 131005.0031.ec.fits: ap = 100, w1 = 3770.443, w2 = 3690.989, dw = -0.04815, nw = 1651 131005.0031.ec.fits: ap = 101, w1 = 3745.807, w2 = 3666.873, dw = -0.04784, nw = 1651 131005.0031.ec.fits: ap = 102, w1 = 3721.492, w2 = 3643.07, dw = -0.04753, nw = 1651 131005.0031.ec.fits: ap = 103, w1 = 3697.49, w2 = 3619.574, dw = -0.04722, nw = 1651 131005.0031.ec.fits: ap = 104, w1 = 3673.796, w2 = 3596.38, dw = -0.04692, nw = 1651 131005.0031.ec.fits: ap = 105, w1 = 3650.404, w2 = 3573.481, dw = -0.04662, nw = 1651 131005.0031.ec.fits: ap = 106, w1 = 3627.308, w2 = 3550.871, dw = -0.04633, nw = 1651 131005.0031.ec.fits: ap = 107, w1 = 3604.503, w2 = 3528.546, dw = -0.04603, nw = 1651 131005.0031.ec.fits: ap = 108, w1 = 3581.983, w2 = 3506.501, dw = -0.04575, nw = 1651 131005.0031.ec.fits: ap = 109, w1 = 3559.742, w2 = 3484.728, dw = -0.04546, nw = 1651 131005.0031.ec.fits: ap = 110, w1 = 3537.777, w2 = 3463.225, dw = -0.04518, nw = 1651 131005.0031.ec.fits: ap = 111, w1 = 3516.08, w2 = 3441.986, dw = -0.04491, nw = 1651 131005.0031.ec.fits: ap = 112, w1 = 3494.649, w2 = 3421.005, dw = -0.04463, nw = 1651 131005.0031.ec.fits: ap = 113, w1 = 3473.477, w2 = 3400.279, dw = -0.04436, nw = 1651 131005.0031.ec.fits: ap = 114, w1 = 3452.561, w2 = 3379.802, dw = -0.0441, nw = 1651 131005.0031.ec.fits: ap = 115, w1 = 3431.895, w2 = 3359.57, dw = -0.04383, nw = 1651 131005.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.49527201' 131005.0033.ec.fits: REFSPEC2 = 'EchelleThAr.0034.ec 0.50472802' 131005.0033.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.52, dw = -0.13827, nw = 1651 131005.0033.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.55, dw = -0.13571, nw = 1651 131005.0033.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.7, dw = -0.13324, nw = 1651 131005.0033.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.6, dw = -0.13086, nw = 1651 131005.0033.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.881, dw = -0.12856, nw = 1651 131005.0033.ec.fits: ap = 6, w1 = 9879.7, w2 = 9671.226, dw = -0.12635, nw = 1651 131005.0033.ec.fits: ap = 7, w1 = 9712.263, w2 = 9507.322, dw = -0.12421, nw = 1651 131005.0033.ec.fits: ap = 8, w1 = 9550.406, w2 = 9348.881, dw = -0.12214, nw = 1651 131005.0033.ec.fits: ap = 9, w1 = 9393.856, w2 = 9195.635, dw = -0.12013, nw = 1651 131005.0033.ec.fits: ap = 10, w1 = 9242.355, w2 = 9047.332, dw = -0.1182, nw = 1651 131005.0033.ec.fits: ap = 11, w1 = 9095.665, w2 = 8903.737, dw = -0.11632, nw = 1651 131005.0033.ec.fits: ap = 12, w1 = 8953.558, w2 = 8764.63, dw = -0.1145, nw = 1651 131005.0033.ec.fits: ap = 13, w1 = 8815.823, w2 = 8629.802, dw = -0.11274, nw = 1651 131005.0033.ec.fits: ap = 14, w1 = 8682.262, w2 = 8499.061, dw = -0.11103, nw = 1651 131005.0033.ec.fits: ap = 15, w1 = 8552.688, w2 = 8372.221, dw = -0.10937, nw = 1651 131005.0033.ec.fits: ap = 16, w1 = 8426.925, w2 = 8249.113, dw = -0.10776, nw = 1651 131005.0033.ec.fits: ap = 17, w1 = 8304.807, w2 = 8129.573, dw = -0.1062, nw = 1651 131005.0033.ec.fits: ap = 18, w1 = 8186.179, w2 = 8013.449, dw = -0.10468, nw = 1651 131005.0033.ec.fits: ap = 19, w1 = 8070.891, w2 = 7900.595, dw = -0.10321, nw = 1651 131005.0033.ec.fits: ap = 20, w1 = 7958.806, w2 = 7790.876, dw = -0.10178, nw = 1651 131005.0033.ec.fits: ap = 21, w1 = 7849.792, w2 = 7684.164, dw = -0.10038, nw = 1651 131005.0033.ec.fits: ap = 22, w1 = 7743.724, w2 = 7580.335, dw = -0.09902, nw = 1651 131005.0033.ec.fits: ap = 23, w1 = 7640.485, w2 = 7479.275, dw = -0.0977, nw = 1651 131005.0033.ec.fits: ap = 24, w1 = 7539.962, w2 = 7380.875, dw = -0.09642, nw = 1651 131005.0033.ec.fits: ap = 25, w1 = 7442.051, w2 = 7285.031, dw = -0.09516, nw = 1651 131005.0033.ec.fits: ap = 26, w1 = 7346.65, w2 = 7191.644, dw = -0.09394, nw = 1651 131005.0033.ec.fits: ap = 27, w1 = 7253.664, w2 = 7100.622, dw = -0.09275, nw = 1651 131005.0033.ec.fits: ap = 28, w1 = 7163.003, w2 = 7011.875, dw = -0.09159, nw = 1651 131005.0033.ec.fits: ap = 29, w1 = 7074.58, w2 = 6925.319, dw = -0.09046, nw = 1651 131005.0033.ec.fits: ap = 30, w1 = 6988.314, w2 = 6840.875, dw = -0.08936, nw = 1651 131005.0033.ec.fits: ap = 31, w1 = 6904.127, w2 = 6758.465, dw = -0.08828, nw = 1651 131005.0033.ec.fits: ap = 32, w1 = 6821.944, w2 = 6678.018, dw = -0.08723, nw = 1651 131005.0033.ec.fits: ap = 33, w1 = 6741.695, w2 = 6599.464, dw = -0.0862, nw = 1651 131005.0033.ec.fits: ap = 34, w1 = 6663.312, w2 = 6522.736, dw = -0.0852, nw = 1651 131005.0033.ec.fits: ap = 35, w1 = 6586.731, w2 = 6447.773, dw = -0.08422, nw = 1651 131005.0033.ec.fits: ap = 36, w1 = 6511.89, w2 = 6374.513, dw = -0.08326, nw = 1651 131005.0033.ec.fits: ap = 37, w1 = 6438.732, w2 = 6302.9, dw = -0.08232, nw = 1651 131005.0033.ec.fits: ap = 38, w1 = 6367.199, w2 = 6232.878, dw = -0.08141, nw = 1651 131005.0033.ec.fits: ap = 39, w1 = 6297.238, w2 = 6164.395, dw = -0.08051, nw = 1651 131005.0033.ec.fits: ap = 40, w1 = 6228.798, w2 = 6097.401, dw = -0.07963, nw = 1651 131005.0033.ec.fits: ap = 41, w1 = 6161.831, w2 = 6031.848, dw = -0.07878, nw = 1651 131005.0033.ec.fits: ap = 42, w1 = 6096.288, w2 = 5967.689, dw = -0.07794, nw = 1651 131005.0033.ec.fits: ap = 43, w1 = 6032.124, w2 = 5904.882, dw = -0.07712, nw = 1651 131005.0033.ec.fits: ap = 44, w1 = 5969.298, w2 = 5843.382, dw = -0.07631, nw = 1651 131005.0033.ec.fits: ap = 45, w1 = 5907.767, w2 = 5783.152, dw = -0.07552, nw = 1651 131005.0033.ec.fits: ap = 46, w1 = 5847.492, w2 = 5724.15, dw = -0.07475, nw = 1651 131005.0033.ec.fits: ap = 47, w1 = 5788.435, w2 = 5666.34, dw = -0.074, nw = 1651 131005.0033.ec.fits: ap = 48, w1 = 5730.558, w2 = 5609.687, dw = -0.07326, nw = 1651 131005.0033.ec.fits: ap = 49, w1 = 5673.828, w2 = 5554.155, dw = -0.07253, nw = 1651 131005.0033.ec.fits: ap = 50, w1 = 5618.211, w2 = 5499.713, dw = -0.07182, nw = 1651 131005.0033.ec.fits: ap = 51, w1 = 5563.673, w2 = 5446.328, dw = -0.07112, nw = 1651 131005.0033.ec.fits: ap = 52, w1 = 5510.184, w2 = 5393.969, dw = -0.07043, nw = 1651 131005.0033.ec.fits: ap = 53, w1 = 5457.714, w2 = 5342.608, dw = -0.06976, nw = 1651 131005.0033.ec.fits: ap = 54, w1 = 5406.234, w2 = 5292.216, dw = -0.0691, nw = 1651 131005.0033.ec.fits: ap = 55, w1 = 5355.717, w2 = 5242.766, dw = -0.06846, nw = 1651 131005.0033.ec.fits: ap = 56, w1 = 5306.135, w2 = 5194.232, dw = -0.06782, nw = 1651 131005.0033.ec.fits: ap = 57, w1 = 5257.462, w2 = 5146.588, dw = -0.0672, nw = 1651 131005.0033.ec.fits: ap = 58, w1 = 5209.675, w2 = 5099.811, dw = -0.06658, nw = 1651 131005.0033.ec.fits: ap = 59, w1 = 5162.749, w2 = 5053.876, dw = -0.06598, nw = 1651 131005.0033.ec.fits: ap = 60, w1 = 5116.661, w2 = 5008.762, dw = -0.06539, nw = 1651 131005.0033.ec.fits: ap = 61, w1 = 5071.389, w2 = 4964.447, dw = -0.06481, nw = 1651 131005.0033.ec.fits: ap = 62, w1 = 5026.911, w2 = 4920.909, dw = -0.06424, nw = 1651 131005.0033.ec.fits: ap = 63, w1 = 4983.206, w2 = 4878.128, dw = -0.06368, nw = 1651 131005.0033.ec.fits: ap = 64, w1 = 4940.255, w2 = 4836.085, dw = -0.06313, nw = 1651 131005.0033.ec.fits: ap = 65, w1 = 4898.039, w2 = 4794.761, dw = -0.06259, nw = 1651 131005.0033.ec.fits: ap = 66, w1 = 4856.538, w2 = 4754.137, dw = -0.06206, nw = 1651 131005.0033.ec.fits: ap = 67, w1 = 4815.734, w2 = 4714.196, dw = -0.06154, nw = 1651 131005.0033.ec.fits: ap = 68, w1 = 4775.611, w2 = 4674.921, dw = -0.06102, nw = 1651 131005.0033.ec.fits: ap = 69, w1 = 4736.151, w2 = 4636.295, dw = -0.06052, nw = 1651 131005.0033.ec.fits: ap = 70, w1 = 4697.337, w2 = 4598.302, dw = -0.06002, nw = 1651 131005.0033.ec.fits: ap = 71, w1 = 4659.155, w2 = 4560.927, dw = -0.05953, nw = 1651 131005.0033.ec.fits: ap = 72, w1 = 4621.589, w2 = 4524.155, dw = -0.05905, nw = 1651 131005.0033.ec.fits: ap = 73, w1 = 4584.624, w2 = 4487.971, dw = -0.05858, nw = 1651 131005.0033.ec.fits: ap = 74, w1 = 4548.246, w2 = 4452.362, dw = -0.05811, nw = 1651 131005.0033.ec.fits: ap = 75, w1 = 4512.441, w2 = 4417.313, dw = -0.05765, nw = 1651 131005.0033.ec.fits: ap = 76, w1 = 4477.195, w2 = 4382.813, dw = -0.0572, nw = 1651 131005.0033.ec.fits: ap = 77, w1 = 4442.495, w2 = 4348.847, dw = -0.05676, nw = 1651 131005.0033.ec.fits: ap = 78, w1 = 4408.33, w2 = 4315.403, dw = -0.05632, nw = 1651 131005.0033.ec.fits: ap = 79, w1 = 4374.686, w2 = 4282.471, dw = -0.05589, nw = 1651 131005.0033.ec.fits: ap = 80, w1 = 4341.552, w2 = 4250.037, dw = -0.05546, nw = 1651 131005.0033.ec.fits: ap = 81, w1 = 4308.916, w2 = 4218.091, dw = -0.05505, nw = 1651 131005.0033.ec.fits: ap = 82, w1 = 4276.768, w2 = 4186.622, dw = -0.05463, nw = 1651 131005.0033.ec.fits: ap = 83, w1 = 4245.095, w2 = 4155.619, dw = -0.05423, nw = 1651 131005.0033.ec.fits: ap = 84, w1 = 4213.889, w2 = 4125.072, dw = -0.05383, nw = 1651 131005.0033.ec.fits: ap = 85, w1 = 4183.138, w2 = 4094.971, dw = -0.05343, nw = 1651 131005.0033.ec.fits: ap = 86, w1 = 4152.833, w2 = 4065.306, dw = -0.05305, nw = 1651 131005.0033.ec.fits: ap = 87, w1 = 4122.963, w2 = 4036.068, dw = -0.05266, nw = 1651 131005.0033.ec.fits: ap = 88, w1 = 4093.521, w2 = 4007.248, dw = -0.05229, nw = 1651 131005.0033.ec.fits: ap = 89, w1 = 4064.496, w2 = 3978.837, dw = -0.05191, nw = 1651 131005.0033.ec.fits: ap = 90, w1 = 4035.881, w2 = 3950.826, dw = -0.05155, nw = 1651 131005.0033.ec.fits: ap = 91, w1 = 4007.665, w2 = 3923.206, dw = -0.05119, nw = 1651 131005.0033.ec.fits: ap = 92, w1 = 3979.841, w2 = 3895.971, dw = -0.05083, nw = 1651 131005.0033.ec.fits: ap = 93, w1 = 3952.401, w2 = 3869.11, dw = -0.05048, nw = 1651 131005.0033.ec.fits: ap = 94, w1 = 3925.337, w2 = 3842.618, dw = -0.05013, nw = 1651 131005.0033.ec.fits: ap = 95, w1 = 3898.641, w2 = 3816.486, dw = -0.04979, nw = 1651 131005.0033.ec.fits: ap = 96, w1 = 3872.306, w2 = 3790.707, dw = -0.04945, nw = 1651 131005.0033.ec.fits: ap = 97, w1 = 3846.324, w2 = 3765.274, dw = -0.04912, nw = 1651 131005.0033.ec.fits: ap = 98, w1 = 3820.689, w2 = 3740.181, dw = -0.04879, nw = 1651 131005.0033.ec.fits: ap = 99, w1 = 3795.393, w2 = 3715.419, dw = -0.04847, nw = 1651 131005.0033.ec.fits: ap = 100, w1 = 3770.431, w2 = 3690.984, dw = -0.04815, nw = 1651 131005.0033.ec.fits: ap = 101, w1 = 3745.794, w2 = 3666.868, dw = -0.04783, nw = 1651 131005.0033.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.065, dw = -0.04752, nw = 1651 131005.0033.ec.fits: ap = 103, w1 = 3697.475, w2 = 3619.569, dw = -0.04722, nw = 1651 131005.0033.ec.fits: ap = 104, w1 = 3673.78, w2 = 3596.374, dw = -0.04691, nw = 1651 131005.0033.ec.fits: ap = 105, w1 = 3650.386, w2 = 3573.474, dw = -0.04661, nw = 1651 131005.0033.ec.fits: ap = 106, w1 = 3627.289, w2 = 3550.865, dw = -0.04632, nw = 1651 131005.0033.ec.fits: ap = 107, w1 = 3604.483, w2 = 3528.54, dw = -0.04603, nw = 1651 131005.0033.ec.fits: ap = 108, w1 = 3581.961, w2 = 3506.493, dw = -0.04574, nw = 1651 131005.0033.ec.fits: ap = 109, w1 = 3559.719, w2 = 3484.721, dw = -0.04545, nw = 1651 131005.0033.ec.fits: ap = 110, w1 = 3537.752, w2 = 3463.217, dw = -0.04517, nw = 1651 131005.0033.ec.fits: ap = 111, w1 = 3516.054, w2 = 3441.977, dw = -0.0449, nw = 1651 131005.0033.ec.fits: ap = 112, w1 = 3494.621, w2 = 3420.996, dw = -0.04462, nw = 1651 131005.0033.ec.fits: ap = 113, w1 = 3473.448, w2 = 3400.269, dw = -0.04435, nw = 1651 131005.0033.ec.fits: ap = 114, w1 = 3452.529, w2 = 3379.792, dw = -0.04408, nw = 1651 131005.0033.ec.fits: ap = 115, w1 = 3431.861, w2 = 3359.56, dw = -0.04382, nw = 1651 131005.0035.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 0.77741456' 131005.0035.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.22258544' 131005.0035.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.51, dw = -0.13828, nw = 1651 131005.0035.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.54, dw = -0.13572, nw = 1651 131005.0035.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.69, dw = -0.13325, nw = 1651 131005.0035.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.59, dw = -0.13087, nw = 1651 131005.0035.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.877, dw = -0.12857, nw = 1651 131005.0035.ec.fits: ap = 6, w1 = 9879.705, w2 = 9671.222, dw = -0.12635, nw = 1651 131005.0035.ec.fits: ap = 7, w1 = 9712.266, w2 = 9507.318, dw = -0.12421, nw = 1651 131005.0035.ec.fits: ap = 8, w1 = 9550.407, w2 = 9348.876, dw = -0.12214, nw = 1651 131005.0035.ec.fits: ap = 9, w1 = 9393.856, w2 = 9195.631, dw = -0.12014, nw = 1651 131005.0035.ec.fits: ap = 10, w1 = 9242.355, w2 = 9047.328, dw = -0.1182, nw = 1651 131005.0035.ec.fits: ap = 11, w1 = 9095.664, w2 = 8903.734, dw = -0.11632, nw = 1651 131005.0035.ec.fits: ap = 12, w1 = 8953.556, w2 = 8764.626, dw = -0.1145, nw = 1651 131005.0035.ec.fits: ap = 13, w1 = 8815.821, w2 = 8629.799, dw = -0.11274, nw = 1651 131005.0035.ec.fits: ap = 14, w1 = 8682.26, w2 = 8499.058, dw = -0.11103, nw = 1651 131005.0035.ec.fits: ap = 15, w1 = 8552.685, w2 = 8372.219, dw = -0.10937, nw = 1651 131005.0035.ec.fits: ap = 16, w1 = 8426.922, w2 = 8249.111, dw = -0.10776, nw = 1651 131005.0035.ec.fits: ap = 17, w1 = 8304.803, w2 = 8129.571, dw = -0.1062, nw = 1651 131005.0035.ec.fits: ap = 18, w1 = 8186.174, w2 = 8013.446, dw = -0.10468, nw = 1651 131005.0035.ec.fits: ap = 19, w1 = 8070.887, w2 = 7900.593, dw = -0.10321, nw = 1651 131005.0035.ec.fits: ap = 20, w1 = 7958.802, w2 = 7790.874, dw = -0.10177, nw = 1651 131005.0035.ec.fits: ap = 21, w1 = 7849.787, w2 = 7684.161, dw = -0.10038, nw = 1651 131005.0035.ec.fits: ap = 22, w1 = 7743.72, w2 = 7580.333, dw = -0.09902, nw = 1651 131005.0035.ec.fits: ap = 23, w1 = 7640.48, w2 = 7479.273, dw = -0.0977, nw = 1651 131005.0035.ec.fits: ap = 24, w1 = 7539.957, w2 = 7380.873, dw = -0.09642, nw = 1651 131005.0035.ec.fits: ap = 25, w1 = 7442.046, w2 = 7285.028, dw = -0.09516, nw = 1651 131005.0035.ec.fits: ap = 26, w1 = 7346.645, w2 = 7191.642, dw = -0.09394, nw = 1651 131005.0035.ec.fits: ap = 27, w1 = 7253.659, w2 = 7100.619, dw = -0.09275, nw = 1651 131005.0035.ec.fits: ap = 28, w1 = 7162.998, w2 = 7011.873, dw = -0.09159, nw = 1651 131005.0035.ec.fits: ap = 29, w1 = 7074.576, w2 = 6925.317, dw = -0.09046, nw = 1651 131005.0035.ec.fits: ap = 30, w1 = 6988.31, w2 = 6840.873, dw = -0.08936, nw = 1651 131005.0035.ec.fits: ap = 31, w1 = 6904.123, w2 = 6758.464, dw = -0.08828, nw = 1651 131005.0035.ec.fits: ap = 32, w1 = 6821.94, w2 = 6678.016, dw = -0.08723, nw = 1651 131005.0035.ec.fits: ap = 33, w1 = 6741.691, w2 = 6599.462, dw = -0.0862, nw = 1651 131005.0035.ec.fits: ap = 34, w1 = 6663.309, w2 = 6522.735, dw = -0.0852, nw = 1651 131005.0035.ec.fits: ap = 35, w1 = 6586.728, w2 = 6447.771, dw = -0.08422, nw = 1651 131005.0035.ec.fits: ap = 36, w1 = 6511.888, w2 = 6374.512, dw = -0.08326, nw = 1651 131005.0035.ec.fits: ap = 37, w1 = 6438.729, w2 = 6302.898, dw = -0.08232, nw = 1651 131005.0035.ec.fits: ap = 38, w1 = 6367.197, w2 = 6232.876, dw = -0.08141, nw = 1651 131005.0035.ec.fits: ap = 39, w1 = 6297.236, w2 = 6164.394, dw = -0.08051, nw = 1651 131005.0035.ec.fits: ap = 40, w1 = 6228.797, w2 = 6097.4, dw = -0.07963, nw = 1651 131005.0035.ec.fits: ap = 41, w1 = 6161.829, w2 = 6031.846, dw = -0.07878, nw = 1651 131005.0035.ec.fits: ap = 42, w1 = 6096.286, w2 = 5967.688, dw = -0.07794, nw = 1651 131005.0035.ec.fits: ap = 43, w1 = 6032.123, w2 = 5904.881, dw = -0.07712, nw = 1651 131005.0035.ec.fits: ap = 44, w1 = 5969.297, w2 = 5843.382, dw = -0.07631, nw = 1651 131005.0035.ec.fits: ap = 45, w1 = 5907.767, w2 = 5783.151, dw = -0.07552, nw = 1651 131005.0035.ec.fits: ap = 46, w1 = 5847.492, w2 = 5724.149, dw = -0.07475, nw = 1651 131005.0035.ec.fits: ap = 47, w1 = 5788.434, w2 = 5666.34, dw = -0.074, nw = 1651 131005.0035.ec.fits: ap = 48, w1 = 5730.558, w2 = 5609.686, dw = -0.07326, nw = 1651 131005.0035.ec.fits: ap = 49, w1 = 5673.828, w2 = 5554.155, dw = -0.07253, nw = 1651 131005.0035.ec.fits: ap = 50, w1 = 5618.211, w2 = 5499.713, dw = -0.07182, nw = 1651 131005.0035.ec.fits: ap = 51, w1 = 5563.673, w2 = 5446.327, dw = -0.07112, nw = 1651 131005.0035.ec.fits: ap = 52, w1 = 5510.185, w2 = 5393.969, dw = -0.07043, nw = 1651 131005.0035.ec.fits: ap = 53, w1 = 5457.715, w2 = 5342.608, dw = -0.06976, nw = 1651 131005.0035.ec.fits: ap = 54, w1 = 5406.235, w2 = 5292.216, dw = -0.0691, nw = 1651 131005.0035.ec.fits: ap = 55, w1 = 5355.717, w2 = 5242.766, dw = -0.06846, nw = 1651 131005.0035.ec.fits: ap = 56, w1 = 5306.135, w2 = 5194.232, dw = -0.06782, nw = 1651 131005.0035.ec.fits: ap = 57, w1 = 5257.463, w2 = 5146.588, dw = -0.0672, nw = 1651 131005.0035.ec.fits: ap = 58, w1 = 5209.676, w2 = 5099.811, dw = -0.06658, nw = 1651 131005.0035.ec.fits: ap = 59, w1 = 5162.75, w2 = 5053.877, dw = -0.06598, nw = 1651 131005.0035.ec.fits: ap = 60, w1 = 5116.662, w2 = 5008.763, dw = -0.06539, nw = 1651 131005.0035.ec.fits: ap = 61, w1 = 5071.39, w2 = 4964.447, dw = -0.06481, nw = 1651 131005.0035.ec.fits: ap = 62, w1 = 5026.912, w2 = 4920.909, dw = -0.06424, nw = 1651 131005.0035.ec.fits: ap = 63, w1 = 4983.207, w2 = 4878.128, dw = -0.06368, nw = 1651 131005.0035.ec.fits: ap = 64, w1 = 4940.256, w2 = 4836.085, dw = -0.06313, nw = 1651 131005.0035.ec.fits: ap = 65, w1 = 4898.039, w2 = 4794.761, dw = -0.06259, nw = 1651 131005.0035.ec.fits: ap = 66, w1 = 4856.538, w2 = 4754.137, dw = -0.06206, nw = 1651 131005.0035.ec.fits: ap = 67, w1 = 4815.735, w2 = 4714.196, dw = -0.06154, nw = 1651 131005.0035.ec.fits: ap = 68, w1 = 4775.611, w2 = 4674.921, dw = -0.06102, nw = 1651 131005.0035.ec.fits: ap = 69, w1 = 4736.151, w2 = 4636.295, dw = -0.06052, nw = 1651 131005.0035.ec.fits: ap = 70, w1 = 4697.338, w2 = 4598.302, dw = -0.06002, nw = 1651 131005.0035.ec.fits: ap = 71, w1 = 4659.156, w2 = 4560.927, dw = -0.05953, nw = 1651 131005.0035.ec.fits: ap = 72, w1 = 4621.589, w2 = 4524.155, dw = -0.05905, nw = 1651 131005.0035.ec.fits: ap = 73, w1 = 4584.624, w2 = 4487.971, dw = -0.05858, nw = 1651 131005.0035.ec.fits: ap = 74, w1 = 4548.246, w2 = 4452.362, dw = -0.05811, nw = 1651 131005.0035.ec.fits: ap = 75, w1 = 4512.44, w2 = 4417.313, dw = -0.05765, nw = 1651 131005.0035.ec.fits: ap = 76, w1 = 4477.194, w2 = 4382.812, dw = -0.0572, nw = 1651 131005.0035.ec.fits: ap = 77, w1 = 4442.495, w2 = 4348.846, dw = -0.05676, nw = 1651 131005.0035.ec.fits: ap = 78, w1 = 4408.329, w2 = 4315.403, dw = -0.05632, nw = 1651 131005.0035.ec.fits: ap = 79, w1 = 4374.685, w2 = 4282.47, dw = -0.05589, nw = 1651 131005.0035.ec.fits: ap = 80, w1 = 4341.551, w2 = 4250.036, dw = -0.05546, nw = 1651 131005.0035.ec.fits: ap = 81, w1 = 4308.914, w2 = 4218.089, dw = -0.05505, nw = 1651 131005.0035.ec.fits: ap = 82, w1 = 4276.766, w2 = 4186.62, dw = -0.05463, nw = 1651 131005.0035.ec.fits: ap = 83, w1 = 4245.093, w2 = 4155.617, dw = -0.05423, nw = 1651 131005.0035.ec.fits: ap = 84, w1 = 4213.887, w2 = 4125.07, dw = -0.05383, nw = 1651 131005.0035.ec.fits: ap = 85, w1 = 4183.136, w2 = 4094.969, dw = -0.05343, nw = 1651 131005.0035.ec.fits: ap = 86, w1 = 4152.83, w2 = 4065.304, dw = -0.05305, nw = 1651 131005.0035.ec.fits: ap = 87, w1 = 4122.961, w2 = 4036.066, dw = -0.05266, nw = 1651 131005.0035.ec.fits: ap = 88, w1 = 4093.519, w2 = 4007.245, dw = -0.05229, nw = 1651 131005.0035.ec.fits: ap = 89, w1 = 4064.494, w2 = 3978.833, dw = -0.05192, nw = 1651 131005.0035.ec.fits: ap = 90, w1 = 4035.878, w2 = 3950.822, dw = -0.05155, nw = 1651 131005.0035.ec.fits: ap = 91, w1 = 4007.661, w2 = 3923.201, dw = -0.05119, nw = 1651 131005.0035.ec.fits: ap = 92, w1 = 3979.837, w2 = 3895.965, dw = -0.05083, nw = 1651 131005.0035.ec.fits: ap = 93, w1 = 3952.397, w2 = 3869.104, dw = -0.05048, nw = 1651 131005.0035.ec.fits: ap = 94, w1 = 3925.333, w2 = 3842.611, dw = -0.05013, nw = 1651 131005.0035.ec.fits: ap = 95, w1 = 3898.637, w2 = 3816.479, dw = -0.04979, nw = 1651 131005.0035.ec.fits: ap = 96, w1 = 3872.301, w2 = 3790.699, dw = -0.04946, nw = 1651 131005.0035.ec.fits: ap = 97, w1 = 3846.319, w2 = 3765.266, dw = -0.04912, nw = 1651 131005.0035.ec.fits: ap = 98, w1 = 3820.684, w2 = 3740.171, dw = -0.0488, nw = 1651 131005.0035.ec.fits: ap = 99, w1 = 3795.388, w2 = 3715.409, dw = -0.04847, nw = 1651 131005.0035.ec.fits: ap = 100, w1 = 3770.425, w2 = 3690.973, dw = -0.04815, nw = 1651 131005.0035.ec.fits: ap = 101, w1 = 3745.788, w2 = 3666.856, dw = -0.04784, nw = 1651 131005.0035.ec.fits: ap = 102, w1 = 3721.472, w2 = 3643.052, dw = -0.04753, nw = 1651 131005.0035.ec.fits: ap = 103, w1 = 3697.469, w2 = 3619.555, dw = -0.04722, nw = 1651 131005.0035.ec.fits: ap = 104, w1 = 3673.773, w2 = 3596.359, dw = -0.04692, nw = 1651 131005.0035.ec.fits: ap = 105, w1 = 3650.38, w2 = 3573.459, dw = -0.04662, nw = 1651 131005.0035.ec.fits: ap = 106, w1 = 3627.283, w2 = 3550.848, dw = -0.04632, nw = 1651 131005.0035.ec.fits: ap = 107, w1 = 3604.476, w2 = 3528.522, dw = -0.04603, nw = 1651 131005.0035.ec.fits: ap = 108, w1 = 3581.954, w2 = 3506.475, dw = -0.04575, nw = 1651 131005.0035.ec.fits: ap = 109, w1 = 3559.712, w2 = 3484.701, dw = -0.04546, nw = 1651 131005.0035.ec.fits: ap = 110, w1 = 3537.745, w2 = 3463.196, dw = -0.04518, nw = 1651 131005.0035.ec.fits: ap = 111, w1 = 3516.047, w2 = 3441.955, dw = -0.0449, nw = 1651 131005.0035.ec.fits: ap = 112, w1 = 3494.614, w2 = 3420.973, dw = -0.04463, nw = 1651 131005.0035.ec.fits: ap = 113, w1 = 3473.441, w2 = 3400.245, dw = -0.04436, nw = 1651 131005.0035.ec.fits: ap = 114, w1 = 3452.522, w2 = 3379.766, dw = -0.04409, nw = 1651 131005.0035.ec.fits: ap = 115, w1 = 3431.854, w2 = 3359.533, dw = -0.04383, nw = 1651 131005.0036.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 0.44040668' 131005.0036.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.55959332' 131005.0036.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.49, dw = -0.13829, nw = 1651 131005.0036.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.52, dw = -0.13573, nw = 1651 131005.0036.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.68, dw = -0.13326, nw = 1651 131005.0036.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.58, dw = -0.13088, nw = 1651 131005.0036.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.864, dw = -0.12858, nw = 1651 131005.0036.ec.fits: ap = 6, w1 = 9879.706, w2 = 9671.211, dw = -0.12636, nw = 1651 131005.0036.ec.fits: ap = 7, w1 = 9712.266, w2 = 9507.308, dw = -0.12422, nw = 1651 131005.0036.ec.fits: ap = 8, w1 = 9550.407, w2 = 9348.868, dw = -0.12214, nw = 1651 131005.0036.ec.fits: ap = 9, w1 = 9393.856, w2 = 9195.624, dw = -0.12014, nw = 1651 131005.0036.ec.fits: ap = 10, w1 = 9242.354, w2 = 9047.322, dw = -0.1182, nw = 1651 131005.0036.ec.fits: ap = 11, w1 = 9095.662, w2 = 8903.728, dw = -0.11632, nw = 1651 131005.0036.ec.fits: ap = 12, w1 = 8953.555, w2 = 8764.622, dw = -0.1145, nw = 1651 131005.0036.ec.fits: ap = 13, w1 = 8815.819, w2 = 8629.795, dw = -0.11274, nw = 1651 131005.0036.ec.fits: ap = 14, w1 = 8682.258, w2 = 8499.054, dw = -0.11103, nw = 1651 131005.0036.ec.fits: ap = 15, w1 = 8552.683, w2 = 8372.216, dw = -0.10937, nw = 1651 131005.0036.ec.fits: ap = 16, w1 = 8426.919, w2 = 8249.108, dw = -0.10776, nw = 1651 131005.0036.ec.fits: ap = 17, w1 = 8304.801, w2 = 8129.568, dw = -0.1062, nw = 1651 131005.0036.ec.fits: ap = 18, w1 = 8186.172, w2 = 8013.444, dw = -0.10468, nw = 1651 131005.0036.ec.fits: ap = 19, w1 = 8070.884, w2 = 7900.59, dw = -0.10321, nw = 1651 131005.0036.ec.fits: ap = 20, w1 = 7958.799, w2 = 7790.872, dw = -0.10177, nw = 1651 131005.0036.ec.fits: ap = 21, w1 = 7849.785, w2 = 7684.159, dw = -0.10038, nw = 1651 131005.0036.ec.fits: ap = 22, w1 = 7743.717, w2 = 7580.331, dw = -0.09902, nw = 1651 131005.0036.ec.fits: ap = 23, w1 = 7640.477, w2 = 7479.271, dw = -0.0977, nw = 1651 131005.0036.ec.fits: ap = 24, w1 = 7539.955, w2 = 7380.871, dw = -0.09641, nw = 1651 131005.0036.ec.fits: ap = 25, w1 = 7442.043, w2 = 7285.026, dw = -0.09516, nw = 1651 131005.0036.ec.fits: ap = 26, w1 = 7346.642, w2 = 7191.64, dw = -0.09394, nw = 1651 131005.0036.ec.fits: ap = 27, w1 = 7253.656, w2 = 7100.617, dw = -0.09275, nw = 1651 131005.0036.ec.fits: ap = 28, w1 = 7162.996, w2 = 7011.871, dw = -0.09159, nw = 1651 131005.0036.ec.fits: ap = 29, w1 = 7074.573, w2 = 6925.315, dw = -0.09046, nw = 1651 131005.0036.ec.fits: ap = 30, w1 = 6988.307, w2 = 6840.871, dw = -0.08936, nw = 1651 131005.0036.ec.fits: ap = 31, w1 = 6904.12, w2 = 6758.461, dw = -0.08828, nw = 1651 131005.0036.ec.fits: ap = 32, w1 = 6821.937, w2 = 6678.014, dw = -0.08723, nw = 1651 131005.0036.ec.fits: ap = 33, w1 = 6741.689, w2 = 6599.459, dw = -0.0862, nw = 1651 131005.0036.ec.fits: ap = 34, w1 = 6663.306, w2 = 6522.732, dw = -0.0852, nw = 1651 131005.0036.ec.fits: ap = 35, w1 = 6586.725, w2 = 6447.768, dw = -0.08422, nw = 1651 131005.0036.ec.fits: ap = 36, w1 = 6511.885, w2 = 6374.509, dw = -0.08326, nw = 1651 131005.0036.ec.fits: ap = 37, w1 = 6438.727, w2 = 6302.895, dw = -0.08232, nw = 1651 131005.0036.ec.fits: ap = 38, w1 = 6367.194, w2 = 6232.873, dw = -0.08141, nw = 1651 131005.0036.ec.fits: ap = 39, w1 = 6297.234, w2 = 6164.391, dw = -0.08051, nw = 1651 131005.0036.ec.fits: ap = 40, w1 = 6228.794, w2 = 6097.397, dw = -0.07964, nw = 1651 131005.0036.ec.fits: ap = 41, w1 = 6161.827, w2 = 6031.843, dw = -0.07878, nw = 1651 131005.0036.ec.fits: ap = 42, w1 = 6096.284, w2 = 5967.685, dw = -0.07794, nw = 1651 131005.0036.ec.fits: ap = 43, w1 = 6032.121, w2 = 5904.878, dw = -0.07712, nw = 1651 131005.0036.ec.fits: ap = 44, w1 = 5969.295, w2 = 5843.379, dw = -0.07631, nw = 1651 131005.0036.ec.fits: ap = 45, w1 = 5907.765, w2 = 5783.148, dw = -0.07553, nw = 1651 131005.0036.ec.fits: ap = 46, w1 = 5847.49, w2 = 5724.146, dw = -0.07475, nw = 1651 131005.0036.ec.fits: ap = 47, w1 = 5788.433, w2 = 5666.337, dw = -0.074, nw = 1651 131005.0036.ec.fits: ap = 48, w1 = 5730.557, w2 = 5609.683, dw = -0.07326, nw = 1651 131005.0036.ec.fits: ap = 49, w1 = 5673.827, w2 = 5554.152, dw = -0.07253, nw = 1651 131005.0036.ec.fits: ap = 50, w1 = 5618.209, w2 = 5499.71, dw = -0.07182, nw = 1651 131005.0036.ec.fits: ap = 51, w1 = 5563.672, w2 = 5446.325, dw = -0.07112, nw = 1651 131005.0036.ec.fits: ap = 52, w1 = 5510.183, w2 = 5393.966, dw = -0.07043, nw = 1651 131005.0036.ec.fits: ap = 53, w1 = 5457.713, w2 = 5342.605, dw = -0.06976, nw = 1651 131005.0036.ec.fits: ap = 54, w1 = 5406.234, w2 = 5292.214, dw = -0.0691, nw = 1651 131005.0036.ec.fits: ap = 55, w1 = 5355.716, w2 = 5242.764, dw = -0.06846, nw = 1651 131005.0036.ec.fits: ap = 56, w1 = 5306.134, w2 = 5194.23, dw = -0.06782, nw = 1651 131005.0036.ec.fits: ap = 57, w1 = 5257.462, w2 = 5146.586, dw = -0.0672, nw = 1651 131005.0036.ec.fits: ap = 58, w1 = 5209.675, w2 = 5099.809, dw = -0.06659, nw = 1651 131005.0036.ec.fits: ap = 59, w1 = 5162.749, w2 = 5053.875, dw = -0.06598, nw = 1651 131005.0036.ec.fits: ap = 60, w1 = 5116.661, w2 = 5008.761, dw = -0.06539, nw = 1651 131005.0036.ec.fits: ap = 61, w1 = 5071.388, w2 = 4964.446, dw = -0.06481, nw = 1651 131005.0036.ec.fits: ap = 62, w1 = 5026.91, w2 = 4920.908, dw = -0.06424, nw = 1651 131005.0036.ec.fits: ap = 63, w1 = 4983.206, w2 = 4878.127, dw = -0.06368, nw = 1651 131005.0036.ec.fits: ap = 64, w1 = 4940.255, w2 = 4836.085, dw = -0.06313, nw = 1651 131005.0036.ec.fits: ap = 65, w1 = 4898.038, w2 = 4794.76, dw = -0.06259, nw = 1651 131005.0036.ec.fits: ap = 66, w1 = 4856.537, w2 = 4754.137, dw = -0.06206, nw = 1651 131005.0036.ec.fits: ap = 67, w1 = 4815.734, w2 = 4714.196, dw = -0.06154, nw = 1651 131005.0036.ec.fits: ap = 68, w1 = 4775.61, w2 = 4674.921, dw = -0.06102, nw = 1651 131005.0036.ec.fits: ap = 69, w1 = 4736.15, w2 = 4636.295, dw = -0.06052, nw = 1651 131005.0036.ec.fits: ap = 70, w1 = 4697.336, w2 = 4598.302, dw = -0.06002, nw = 1651 131005.0036.ec.fits: ap = 71, w1 = 4659.154, w2 = 4560.927, dw = -0.05953, nw = 1651 131005.0036.ec.fits: ap = 72, w1 = 4621.588, w2 = 4524.155, dw = -0.05905, nw = 1651 131005.0036.ec.fits: ap = 73, w1 = 4584.622, w2 = 4487.971, dw = -0.05858, nw = 1651 131005.0036.ec.fits: ap = 74, w1 = 4548.244, w2 = 4452.362, dw = -0.05811, nw = 1651 131005.0036.ec.fits: ap = 75, w1 = 4512.438, w2 = 4417.313, dw = -0.05765, nw = 1651 131005.0036.ec.fits: ap = 76, w1 = 4477.192, w2 = 4382.812, dw = -0.0572, nw = 1651 131005.0036.ec.fits: ap = 77, w1 = 4442.492, w2 = 4348.846, dw = -0.05676, nw = 1651 131005.0036.ec.fits: ap = 78, w1 = 4408.327, w2 = 4315.403, dw = -0.05632, nw = 1651 131005.0036.ec.fits: ap = 79, w1 = 4374.682, w2 = 4282.47, dw = -0.05589, nw = 1651 131005.0036.ec.fits: ap = 80, w1 = 4341.548, w2 = 4250.036, dw = -0.05546, nw = 1651 131005.0036.ec.fits: ap = 81, w1 = 4308.911, w2 = 4218.089, dw = -0.05504, nw = 1651 131005.0036.ec.fits: ap = 82, w1 = 4276.762, w2 = 4186.619, dw = -0.05463, nw = 1651 131005.0036.ec.fits: ap = 83, w1 = 4245.09, w2 = 4155.616, dw = -0.05423, nw = 1651 131005.0036.ec.fits: ap = 84, w1 = 4213.883, w2 = 4125.069, dw = -0.05383, nw = 1651 131005.0036.ec.fits: ap = 85, w1 = 4183.132, w2 = 4094.967, dw = -0.05343, nw = 1651 131005.0036.ec.fits: ap = 86, w1 = 4152.826, w2 = 4065.302, dw = -0.05304, nw = 1651 131005.0036.ec.fits: ap = 87, w1 = 4122.956, w2 = 4036.063, dw = -0.05266, nw = 1651 131005.0036.ec.fits: ap = 88, w1 = 4093.513, w2 = 4007.243, dw = -0.05229, nw = 1651 131005.0036.ec.fits: ap = 89, w1 = 4064.488, w2 = 3978.83, dw = -0.05191, nw = 1651 131005.0036.ec.fits: ap = 90, w1 = 4035.872, w2 = 3950.818, dw = -0.05155, nw = 1651 131005.0036.ec.fits: ap = 91, w1 = 4007.655, w2 = 3923.197, dw = -0.05119, nw = 1651 131005.0036.ec.fits: ap = 92, w1 = 3979.83, w2 = 3895.96, dw = -0.05083, nw = 1651 131005.0036.ec.fits: ap = 93, w1 = 3952.39, w2 = 3869.099, dw = -0.05048, nw = 1651 131005.0036.ec.fits: ap = 94, w1 = 3925.325, w2 = 3842.605, dw = -0.05013, nw = 1651 131005.0036.ec.fits: ap = 95, w1 = 3898.628, w2 = 3816.472, dw = -0.04979, nw = 1651 131005.0036.ec.fits: ap = 96, w1 = 3872.293, w2 = 3790.692, dw = -0.04946, nw = 1651 131005.0036.ec.fits: ap = 97, w1 = 3846.31, w2 = 3765.257, dw = -0.04912, nw = 1651 131005.0036.ec.fits: ap = 98, w1 = 3820.674, w2 = 3740.162, dw = -0.0488, nw = 1651 131005.0036.ec.fits: ap = 99, w1 = 3795.378, w2 = 3715.399, dw = -0.04847, nw = 1651 131005.0036.ec.fits: ap = 100, w1 = 3770.414, w2 = 3690.961, dw = -0.04815, nw = 1651 131005.0036.ec.fits: ap = 101, w1 = 3745.777, w2 = 3666.843, dw = -0.04784, nw = 1651 131005.0036.ec.fits: ap = 102, w1 = 3721.46, w2 = 3643.038, dw = -0.04753, nw = 1651 131005.0036.ec.fits: ap = 103, w1 = 3697.456, w2 = 3619.54, dw = -0.04722, nw = 1651 131005.0036.ec.fits: ap = 104, w1 = 3673.76, w2 = 3596.343, dw = -0.04692, nw = 1651 131005.0036.ec.fits: ap = 105, w1 = 3650.366, w2 = 3573.441, dw = -0.04662, nw = 1651 131005.0036.ec.fits: ap = 106, w1 = 3627.268, w2 = 3550.829, dw = -0.04633, nw = 1651 131005.0036.ec.fits: ap = 107, w1 = 3604.46, w2 = 3528.501, dw = -0.04604, nw = 1651 131005.0036.ec.fits: ap = 108, w1 = 3581.938, w2 = 3506.452, dw = -0.04575, nw = 1651 131005.0036.ec.fits: ap = 109, w1 = 3559.695, w2 = 3484.676, dw = -0.04547, nw = 1651 131005.0036.ec.fits: ap = 110, w1 = 3537.727, w2 = 3463.169, dw = -0.04519, nw = 1651 131005.0036.ec.fits: ap = 111, w1 = 3516.028, w2 = 3441.926, dw = -0.04491, nw = 1651 131005.0036.ec.fits: ap = 112, w1 = 3494.594, w2 = 3420.942, dw = -0.04464, nw = 1651 131005.0036.ec.fits: ap = 113, w1 = 3473.42, w2 = 3400.211, dw = -0.04437, nw = 1651 131005.0036.ec.fits: ap = 114, w1 = 3452.5, w2 = 3379.731, dw = -0.0441, nw = 1651 131005.0036.ec.fits: ap = 115, w1 = 3431.832, w2 = 3359.495, dw = -0.04384, nw = 1651 131005.0037.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 0.15183878' 131005.0037.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.84816122' 131005.0037.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.48, dw = -0.13831, nw = 1651 131005.0037.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.51, dw = -0.13574, nw = 1651 131005.0037.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.66, dw = -0.13327, nw = 1651 131005.0037.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.56, dw = -0.13089, nw = 1651 131005.0037.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.853, dw = -0.12859, nw = 1651 131005.0037.ec.fits: ap = 6, w1 = 9879.706, w2 = 9671.202, dw = -0.12637, nw = 1651 131005.0037.ec.fits: ap = 7, w1 = 9712.266, w2 = 9507.3, dw = -0.12422, nw = 1651 131005.0037.ec.fits: ap = 8, w1 = 9550.407, w2 = 9348.862, dw = -0.12215, nw = 1651 131005.0037.ec.fits: ap = 9, w1 = 9393.855, w2 = 9195.618, dw = -0.12014, nw = 1651 131005.0037.ec.fits: ap = 10, w1 = 9242.354, w2 = 9047.317, dw = -0.1182, nw = 1651 131005.0037.ec.fits: ap = 11, w1 = 9095.662, w2 = 8903.724, dw = -0.11633, nw = 1651 131005.0037.ec.fits: ap = 12, w1 = 8953.553, w2 = 8764.618, dw = -0.11451, nw = 1651 131005.0037.ec.fits: ap = 13, w1 = 8815.818, w2 = 8629.792, dw = -0.11274, nw = 1651 131005.0037.ec.fits: ap = 14, w1 = 8682.256, w2 = 8499.051, dw = -0.11103, nw = 1651 131005.0037.ec.fits: ap = 15, w1 = 8552.681, w2 = 8372.213, dw = -0.10937, nw = 1651 131005.0037.ec.fits: ap = 16, w1 = 8426.918, w2 = 8249.105, dw = -0.10777, nw = 1651 131005.0037.ec.fits: ap = 17, w1 = 8304.799, w2 = 8129.566, dw = -0.1062, nw = 1651 131005.0037.ec.fits: ap = 18, w1 = 8186.17, w2 = 8013.441, dw = -0.10468, nw = 1651 131005.0037.ec.fits: ap = 19, w1 = 8070.882, w2 = 7900.588, dw = -0.10321, nw = 1651 131005.0037.ec.fits: ap = 20, w1 = 7958.797, w2 = 7790.87, dw = -0.10177, nw = 1651 131005.0037.ec.fits: ap = 21, w1 = 7849.783, w2 = 7684.157, dw = -0.10038, nw = 1651 131005.0037.ec.fits: ap = 22, w1 = 7743.715, w2 = 7580.329, dw = -0.09902, nw = 1651 131005.0037.ec.fits: ap = 23, w1 = 7640.475, w2 = 7479.269, dw = -0.0977, nw = 1651 131005.0037.ec.fits: ap = 24, w1 = 7539.953, w2 = 7380.869, dw = -0.09641, nw = 1651 131005.0037.ec.fits: ap = 25, w1 = 7442.041, w2 = 7285.025, dw = -0.09516, nw = 1651 131005.0037.ec.fits: ap = 26, w1 = 7346.64, w2 = 7191.638, dw = -0.09394, nw = 1651 131005.0037.ec.fits: ap = 27, w1 = 7253.654, w2 = 7100.615, dw = -0.09275, nw = 1651 131005.0037.ec.fits: ap = 28, w1 = 7162.993, w2 = 7011.869, dw = -0.09159, nw = 1651 131005.0037.ec.fits: ap = 29, w1 = 7074.571, w2 = 6925.313, dw = -0.09046, nw = 1651 131005.0037.ec.fits: ap = 30, w1 = 6988.305, w2 = 6840.869, dw = -0.08936, nw = 1651 131005.0037.ec.fits: ap = 31, w1 = 6904.118, w2 = 6758.459, dw = -0.08828, nw = 1651 131005.0037.ec.fits: ap = 32, w1 = 6821.935, w2 = 6678.012, dw = -0.08723, nw = 1651 131005.0037.ec.fits: ap = 33, w1 = 6741.686, w2 = 6599.457, dw = -0.0862, nw = 1651 131005.0037.ec.fits: ap = 34, w1 = 6663.304, w2 = 6522.73, dw = -0.0852, nw = 1651 131005.0037.ec.fits: ap = 35, w1 = 6586.723, w2 = 6447.766, dw = -0.08422, nw = 1651 131005.0037.ec.fits: ap = 36, w1 = 6511.883, w2 = 6374.506, dw = -0.08326, nw = 1651 131005.0037.ec.fits: ap = 37, w1 = 6438.725, w2 = 6302.893, dw = -0.08232, nw = 1651 131005.0037.ec.fits: ap = 38, w1 = 6367.192, w2 = 6232.871, dw = -0.08141, nw = 1651 131005.0037.ec.fits: ap = 39, w1 = 6297.232, w2 = 6164.388, dw = -0.08051, nw = 1651 131005.0037.ec.fits: ap = 40, w1 = 6228.792, w2 = 6097.394, dw = -0.07964, nw = 1651 131005.0037.ec.fits: ap = 41, w1 = 6161.825, w2 = 6031.841, dw = -0.07878, nw = 1651 131005.0037.ec.fits: ap = 42, w1 = 6096.282, w2 = 5967.682, dw = -0.07794, nw = 1651 131005.0037.ec.fits: ap = 43, w1 = 6032.119, w2 = 5904.875, dw = -0.07712, nw = 1651 131005.0037.ec.fits: ap = 44, w1 = 5969.293, w2 = 5843.376, dw = -0.07631, nw = 1651 131005.0037.ec.fits: ap = 45, w1 = 5907.763, w2 = 5783.145, dw = -0.07553, nw = 1651 131005.0037.ec.fits: ap = 46, w1 = 5847.488, w2 = 5724.144, dw = -0.07475, nw = 1651 131005.0037.ec.fits: ap = 47, w1 = 5788.431, w2 = 5666.334, dw = -0.074, nw = 1651 131005.0037.ec.fits: ap = 48, w1 = 5730.555, w2 = 5609.681, dw = -0.07326, nw = 1651 131005.0037.ec.fits: ap = 49, w1 = 5673.825, w2 = 5554.15, dw = -0.07253, nw = 1651 131005.0037.ec.fits: ap = 50, w1 = 5618.208, w2 = 5499.708, dw = -0.07182, nw = 1651 131005.0037.ec.fits: ap = 51, w1 = 5563.67, w2 = 5446.322, dw = -0.07112, nw = 1651 131005.0037.ec.fits: ap = 52, w1 = 5510.182, w2 = 5393.964, dw = -0.07043, nw = 1651 131005.0037.ec.fits: ap = 53, w1 = 5457.712, w2 = 5342.603, dw = -0.06976, nw = 1651 131005.0037.ec.fits: ap = 54, w1 = 5406.232, w2 = 5292.212, dw = -0.0691, nw = 1651 131005.0037.ec.fits: ap = 55, w1 = 5355.715, w2 = 5242.762, dw = -0.06846, nw = 1651 131005.0037.ec.fits: ap = 56, w1 = 5306.133, w2 = 5194.228, dw = -0.06782, nw = 1651 131005.0037.ec.fits: ap = 57, w1 = 5257.461, w2 = 5146.585, dw = -0.0672, nw = 1651 131005.0037.ec.fits: ap = 58, w1 = 5209.674, w2 = 5099.808, dw = -0.06659, nw = 1651 131005.0037.ec.fits: ap = 59, w1 = 5162.748, w2 = 5053.874, dw = -0.06598, nw = 1651 131005.0037.ec.fits: ap = 60, w1 = 5116.66, w2 = 5008.76, dw = -0.06539, nw = 1651 131005.0037.ec.fits: ap = 61, w1 = 5071.387, w2 = 4964.445, dw = -0.06481, nw = 1651 131005.0037.ec.fits: ap = 62, w1 = 5026.909, w2 = 4920.907, dw = -0.06424, nw = 1651 131005.0037.ec.fits: ap = 63, w1 = 4983.205, w2 = 4878.127, dw = -0.06368, nw = 1651 131005.0037.ec.fits: ap = 64, w1 = 4940.254, w2 = 4836.084, dw = -0.06313, nw = 1651 131005.0037.ec.fits: ap = 65, w1 = 4898.037, w2 = 4794.76, dw = -0.06259, nw = 1651 131005.0037.ec.fits: ap = 66, w1 = 4856.536, w2 = 4754.136, dw = -0.06206, nw = 1651 131005.0037.ec.fits: ap = 67, w1 = 4815.732, w2 = 4714.195, dw = -0.06154, nw = 1651 131005.0037.ec.fits: ap = 68, w1 = 4775.609, w2 = 4674.92, dw = -0.06102, nw = 1651 131005.0037.ec.fits: ap = 69, w1 = 4736.148, w2 = 4636.294, dw = -0.06052, nw = 1651 131005.0037.ec.fits: ap = 70, w1 = 4697.335, w2 = 4598.302, dw = -0.06002, nw = 1651 131005.0037.ec.fits: ap = 71, w1 = 4659.153, w2 = 4560.927, dw = -0.05953, nw = 1651 131005.0037.ec.fits: ap = 72, w1 = 4621.586, w2 = 4524.155, dw = -0.05905, nw = 1651 131005.0037.ec.fits: ap = 73, w1 = 4584.621, w2 = 4487.971, dw = -0.05858, nw = 1651 131005.0037.ec.fits: ap = 74, w1 = 4548.242, w2 = 4452.362, dw = -0.05811, nw = 1651 131005.0037.ec.fits: ap = 75, w1 = 4512.436, w2 = 4417.313, dw = -0.05765, nw = 1651 131005.0037.ec.fits: ap = 76, w1 = 4477.19, w2 = 4382.812, dw = -0.0572, nw = 1651 131005.0037.ec.fits: ap = 77, w1 = 4442.49, w2 = 4348.846, dw = -0.05675, nw = 1651 131005.0037.ec.fits: ap = 78, w1 = 4408.324, w2 = 4315.403, dw = -0.05632, nw = 1651 131005.0037.ec.fits: ap = 79, w1 = 4374.68, w2 = 4282.47, dw = -0.05589, nw = 1651 131005.0037.ec.fits: ap = 80, w1 = 4341.545, w2 = 4250.035, dw = -0.05546, nw = 1651 131005.0037.ec.fits: ap = 81, w1 = 4308.909, w2 = 4218.089, dw = -0.05504, nw = 1651 131005.0037.ec.fits: ap = 82, w1 = 4276.76, w2 = 4186.619, dw = -0.05463, nw = 1651 131005.0037.ec.fits: ap = 83, w1 = 4245.087, w2 = 4155.616, dw = -0.05422, nw = 1651 131005.0037.ec.fits: ap = 84, w1 = 4213.88, w2 = 4125.068, dw = -0.05383, nw = 1651 131005.0037.ec.fits: ap = 85, w1 = 4183.128, w2 = 4094.966, dw = -0.05343, nw = 1651 131005.0037.ec.fits: ap = 86, w1 = 4152.822, w2 = 4065.301, dw = -0.05304, nw = 1651 131005.0037.ec.fits: ap = 87, w1 = 4122.952, w2 = 4036.062, dw = -0.05266, nw = 1651 131005.0037.ec.fits: ap = 88, w1 = 4093.509, w2 = 4007.24, dw = -0.05228, nw = 1651 131005.0037.ec.fits: ap = 89, w1 = 4064.483, w2 = 3978.828, dw = -0.05191, nw = 1651 131005.0037.ec.fits: ap = 90, w1 = 4035.866, w2 = 3950.815, dw = -0.05155, nw = 1651 131005.0037.ec.fits: ap = 91, w1 = 4007.65, w2 = 3923.194, dw = -0.05119, nw = 1651 131005.0037.ec.fits: ap = 92, w1 = 3979.825, w2 = 3895.956, dw = -0.05083, nw = 1651 131005.0037.ec.fits: ap = 93, w1 = 3952.384, w2 = 3869.094, dw = -0.05048, nw = 1651 131005.0037.ec.fits: ap = 94, w1 = 3925.318, w2 = 3842.6, dw = -0.05013, nw = 1651 131005.0037.ec.fits: ap = 95, w1 = 3898.621, w2 = 3816.466, dw = -0.04979, nw = 1651 131005.0037.ec.fits: ap = 96, w1 = 3872.285, w2 = 3790.685, dw = -0.04945, nw = 1651 131005.0037.ec.fits: ap = 97, w1 = 3846.302, w2 = 3765.25, dw = -0.04912, nw = 1651 131005.0037.ec.fits: ap = 98, w1 = 3820.666, w2 = 3740.154, dw = -0.0488, nw = 1651 131005.0037.ec.fits: ap = 99, w1 = 3795.369, w2 = 3715.39, dw = -0.04847, nw = 1651 131005.0037.ec.fits: ap = 100, w1 = 3770.405, w2 = 3690.952, dw = -0.04815, nw = 1651 131005.0037.ec.fits: ap = 101, w1 = 3745.767, w2 = 3666.832, dw = -0.04784, nw = 1651 131005.0037.ec.fits: ap = 102, w1 = 3721.449, w2 = 3643.026, dw = -0.04753, nw = 1651 131005.0037.ec.fits: ap = 103, w1 = 3697.445, w2 = 3619.527, dw = -0.04722, nw = 1651 131005.0037.ec.fits: ap = 104, w1 = 3673.748, w2 = 3596.328, dw = -0.04692, nw = 1651 131005.0037.ec.fits: ap = 105, w1 = 3650.354, w2 = 3573.425, dw = -0.04662, nw = 1651 131005.0037.ec.fits: ap = 106, w1 = 3627.255, w2 = 3550.812, dw = -0.04633, nw = 1651 131005.0037.ec.fits: ap = 107, w1 = 3604.447, w2 = 3528.482, dw = -0.04604, nw = 1651 131005.0037.ec.fits: ap = 108, w1 = 3581.924, w2 = 3506.432, dw = -0.04575, nw = 1651 131005.0037.ec.fits: ap = 109, w1 = 3559.68, w2 = 3484.655, dw = -0.04547, nw = 1651 131005.0037.ec.fits: ap = 110, w1 = 3537.711, w2 = 3463.146, dw = -0.04519, nw = 1651 131005.0037.ec.fits: ap = 111, w1 = 3516.012, w2 = 3441.901, dw = -0.04492, nw = 1651 131005.0037.ec.fits: ap = 112, w1 = 3494.577, w2 = 3420.915, dw = -0.04464, nw = 1651 131005.0037.ec.fits: ap = 113, w1 = 3473.402, w2 = 3400.183, dw = -0.04438, nw = 1651 131005.0037.ec.fits: ap = 114, w1 = 3452.482, w2 = 3379.7, dw = -0.04411, nw = 1651 131005.0037.ec.fits: ap = 115, w1 = 3431.812, w2 = 3359.462, dw = -0.04385, nw = 1651 131005.0039.ec.fits: REFSPEC1 = 'EchelleThAr.0038.ec 0.77972484' 131005.0039.ec.fits: REFSPEC2 = 'EchelleThAr.0041.ec 0.22027515' 131005.0039.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.47, dw = -0.1383, nw = 1651 131005.0039.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.5, dw = -0.13573, nw = 1651 131005.0039.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.66, dw = -0.13326, nw = 1651 131005.0039.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.56, dw = -0.13088, nw = 1651 131005.0039.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.848, dw = -0.12858, nw = 1651 131005.0039.ec.fits: ap = 6, w1 = 9879.696, w2 = 9671.197, dw = -0.12636, nw = 1651 131005.0039.ec.fits: ap = 7, w1 = 9712.257, w2 = 9507.296, dw = -0.12422, nw = 1651 131005.0039.ec.fits: ap = 8, w1 = 9550.4, w2 = 9348.858, dw = -0.12215, nw = 1651 131005.0039.ec.fits: ap = 9, w1 = 9393.849, w2 = 9195.614, dw = -0.12014, nw = 1651 131005.0039.ec.fits: ap = 10, w1 = 9242.348, w2 = 9047.314, dw = -0.1182, nw = 1651 131005.0039.ec.fits: ap = 11, w1 = 9095.657, w2 = 8903.721, dw = -0.11632, nw = 1651 131005.0039.ec.fits: ap = 12, w1 = 8953.55, w2 = 8764.616, dw = -0.11451, nw = 1651 131005.0039.ec.fits: ap = 13, w1 = 8815.816, w2 = 8629.79, dw = -0.11274, nw = 1651 131005.0039.ec.fits: ap = 14, w1 = 8682.255, w2 = 8499.05, dw = -0.11103, nw = 1651 131005.0039.ec.fits: ap = 15, w1 = 8552.68, w2 = 8372.212, dw = -0.10937, nw = 1651 131005.0039.ec.fits: ap = 16, w1 = 8426.917, w2 = 8249.105, dw = -0.10777, nw = 1651 131005.0039.ec.fits: ap = 17, w1 = 8304.799, w2 = 8129.566, dw = -0.1062, nw = 1651 131005.0039.ec.fits: ap = 18, w1 = 8186.17, w2 = 8013.442, dw = -0.10468, nw = 1651 131005.0039.ec.fits: ap = 19, w1 = 8070.883, w2 = 7900.589, dw = -0.10321, nw = 1651 131005.0039.ec.fits: ap = 20, w1 = 7958.798, w2 = 7790.871, dw = -0.10177, nw = 1651 131005.0039.ec.fits: ap = 21, w1 = 7849.784, w2 = 7684.158, dw = -0.10038, nw = 1651 131005.0039.ec.fits: ap = 22, w1 = 7743.716, w2 = 7580.33, dw = -0.09902, nw = 1651 131005.0039.ec.fits: ap = 23, w1 = 7640.476, w2 = 7479.27, dw = -0.0977, nw = 1651 131005.0039.ec.fits: ap = 24, w1 = 7539.954, w2 = 7380.87, dw = -0.09641, nw = 1651 131005.0039.ec.fits: ap = 25, w1 = 7442.042, w2 = 7285.026, dw = -0.09516, nw = 1651 131005.0039.ec.fits: ap = 26, w1 = 7346.641, w2 = 7191.639, dw = -0.09394, nw = 1651 131005.0039.ec.fits: ap = 27, w1 = 7253.655, w2 = 7100.616, dw = -0.09275, nw = 1651 131005.0039.ec.fits: ap = 28, w1 = 7162.993, w2 = 7011.869, dw = -0.09159, nw = 1651 131005.0039.ec.fits: ap = 29, w1 = 7074.571, w2 = 6925.313, dw = -0.09046, nw = 1651 131005.0039.ec.fits: ap = 30, w1 = 6988.305, w2 = 6840.869, dw = -0.08936, nw = 1651 131005.0039.ec.fits: ap = 31, w1 = 6904.117, w2 = 6758.459, dw = -0.08828, nw = 1651 131005.0039.ec.fits: ap = 32, w1 = 6821.935, w2 = 6678.012, dw = -0.08723, nw = 1651 131005.0039.ec.fits: ap = 33, w1 = 6741.686, w2 = 6599.458, dw = -0.0862, nw = 1651 131005.0039.ec.fits: ap = 34, w1 = 6663.304, w2 = 6522.73, dw = -0.0852, nw = 1651 131005.0039.ec.fits: ap = 35, w1 = 6586.723, w2 = 6447.767, dw = -0.08422, nw = 1651 131005.0039.ec.fits: ap = 36, w1 = 6511.883, w2 = 6374.507, dw = -0.08326, nw = 1651 131005.0039.ec.fits: ap = 37, w1 = 6438.724, w2 = 6302.893, dw = -0.08232, nw = 1651 131005.0039.ec.fits: ap = 38, w1 = 6367.192, w2 = 6232.871, dw = -0.08141, nw = 1651 131005.0039.ec.fits: ap = 39, w1 = 6297.231, w2 = 6164.388, dw = -0.08051, nw = 1651 131005.0039.ec.fits: ap = 40, w1 = 6228.792, w2 = 6097.394, dw = -0.07963, nw = 1651 131005.0039.ec.fits: ap = 41, w1 = 6161.824, w2 = 6031.841, dw = -0.07878, nw = 1651 131005.0039.ec.fits: ap = 42, w1 = 6096.281, w2 = 5967.682, dw = -0.07794, nw = 1651 131005.0039.ec.fits: ap = 43, w1 = 6032.119, w2 = 5904.875, dw = -0.07712, nw = 1651 131005.0039.ec.fits: ap = 44, w1 = 5969.292, w2 = 5843.376, dw = -0.07631, nw = 1651 131005.0039.ec.fits: ap = 45, w1 = 5907.762, w2 = 5783.145, dw = -0.07553, nw = 1651 131005.0039.ec.fits: ap = 46, w1 = 5847.487, w2 = 5724.143, dw = -0.07475, nw = 1651 131005.0039.ec.fits: ap = 47, w1 = 5788.43, w2 = 5666.334, dw = -0.074, nw = 1651 131005.0039.ec.fits: ap = 48, w1 = 5730.554, w2 = 5609.681, dw = -0.07326, nw = 1651 131005.0039.ec.fits: ap = 49, w1 = 5673.824, w2 = 5554.149, dw = -0.07253, nw = 1651 131005.0039.ec.fits: ap = 50, w1 = 5618.206, w2 = 5499.707, dw = -0.07182, nw = 1651 131005.0039.ec.fits: ap = 51, w1 = 5563.669, w2 = 5446.322, dw = -0.07112, nw = 1651 131005.0039.ec.fits: ap = 52, w1 = 5510.18, w2 = 5393.963, dw = -0.07043, nw = 1651 131005.0039.ec.fits: ap = 53, w1 = 5457.71, w2 = 5342.602, dw = -0.06976, nw = 1651 131005.0039.ec.fits: ap = 54, w1 = 5406.231, w2 = 5292.211, dw = -0.0691, nw = 1651 131005.0039.ec.fits: ap = 55, w1 = 5355.713, w2 = 5242.761, dw = -0.06846, nw = 1651 131005.0039.ec.fits: ap = 56, w1 = 5306.131, w2 = 5194.227, dw = -0.06782, nw = 1651 131005.0039.ec.fits: ap = 57, w1 = 5257.459, w2 = 5146.584, dw = -0.0672, nw = 1651 131005.0039.ec.fits: ap = 58, w1 = 5209.672, w2 = 5099.807, dw = -0.06659, nw = 1651 131005.0039.ec.fits: ap = 59, w1 = 5162.746, w2 = 5053.872, dw = -0.06598, nw = 1651 131005.0039.ec.fits: ap = 60, w1 = 5116.658, w2 = 5008.759, dw = -0.06539, nw = 1651 131005.0039.ec.fits: ap = 61, w1 = 5071.386, w2 = 4964.443, dw = -0.06481, nw = 1651 131005.0039.ec.fits: ap = 62, w1 = 5026.908, w2 = 4920.906, dw = -0.06424, nw = 1651 131005.0039.ec.fits: ap = 63, w1 = 4983.203, w2 = 4878.125, dw = -0.06368, nw = 1651 131005.0039.ec.fits: ap = 64, w1 = 4940.252, w2 = 4836.082, dw = -0.06313, nw = 1651 131005.0039.ec.fits: ap = 65, w1 = 4898.036, w2 = 4794.758, dw = -0.06259, nw = 1651 131005.0039.ec.fits: ap = 66, w1 = 4856.535, w2 = 4754.135, dw = -0.06206, nw = 1651 131005.0039.ec.fits: ap = 67, w1 = 4815.731, w2 = 4714.194, dw = -0.06154, nw = 1651 131005.0039.ec.fits: ap = 68, w1 = 4775.607, w2 = 4674.919, dw = -0.06102, nw = 1651 131005.0039.ec.fits: ap = 69, w1 = 4736.147, w2 = 4636.293, dw = -0.06052, nw = 1651 131005.0039.ec.fits: ap = 70, w1 = 4697.334, w2 = 4598.3, dw = -0.06002, nw = 1651 131005.0039.ec.fits: ap = 71, w1 = 4659.151, w2 = 4560.926, dw = -0.05953, nw = 1651 131005.0039.ec.fits: ap = 72, w1 = 4621.585, w2 = 4524.154, dw = -0.05905, nw = 1651 131005.0039.ec.fits: ap = 73, w1 = 4584.62, w2 = 4487.97, dw = -0.05858, nw = 1651 131005.0039.ec.fits: ap = 74, w1 = 4548.241, w2 = 4452.361, dw = -0.05811, nw = 1651 131005.0039.ec.fits: ap = 75, w1 = 4512.435, w2 = 4417.312, dw = -0.05765, nw = 1651 131005.0039.ec.fits: ap = 76, w1 = 4477.189, w2 = 4382.811, dw = -0.0572, nw = 1651 131005.0039.ec.fits: ap = 77, w1 = 4442.489, w2 = 4348.845, dw = -0.05675, nw = 1651 131005.0039.ec.fits: ap = 78, w1 = 4408.323, w2 = 4315.402, dw = -0.05632, nw = 1651 131005.0039.ec.fits: ap = 79, w1 = 4374.678, w2 = 4282.468, dw = -0.05588, nw = 1651 131005.0039.ec.fits: ap = 80, w1 = 4341.544, w2 = 4250.035, dw = -0.05546, nw = 1651 131005.0039.ec.fits: ap = 81, w1 = 4308.908, w2 = 4218.089, dw = -0.05504, nw = 1651 131005.0039.ec.fits: ap = 82, w1 = 4276.759, w2 = 4186.619, dw = -0.05463, nw = 1651 131005.0039.ec.fits: ap = 83, w1 = 4245.086, w2 = 4155.616, dw = -0.05422, nw = 1651 131005.0039.ec.fits: ap = 84, w1 = 4213.878, w2 = 4125.068, dw = -0.05382, nw = 1651 131005.0039.ec.fits: ap = 85, w1 = 4183.127, w2 = 4094.967, dw = -0.05343, nw = 1651 131005.0039.ec.fits: ap = 86, w1 = 4152.821, w2 = 4065.301, dw = -0.05304, nw = 1651 131005.0039.ec.fits: ap = 87, w1 = 4122.951, w2 = 4036.062, dw = -0.05266, nw = 1651 131005.0039.ec.fits: ap = 88, w1 = 4093.507, w2 = 4007.241, dw = -0.05228, nw = 1651 131005.0039.ec.fits: ap = 89, w1 = 4064.481, w2 = 3978.829, dw = -0.05191, nw = 1651 131005.0039.ec.fits: ap = 90, w1 = 4035.864, w2 = 3950.816, dw = -0.05154, nw = 1651 131005.0039.ec.fits: ap = 91, w1 = 4007.647, w2 = 3923.196, dw = -0.05118, nw = 1651 131005.0039.ec.fits: ap = 92, w1 = 3979.822, w2 = 3895.958, dw = -0.05083, nw = 1651 131005.0039.ec.fits: ap = 93, w1 = 3952.381, w2 = 3869.097, dw = -0.05048, nw = 1651 131005.0039.ec.fits: ap = 94, w1 = 3925.316, w2 = 3842.603, dw = -0.05013, nw = 1651 131005.0039.ec.fits: ap = 95, w1 = 3898.618, w2 = 3816.469, dw = -0.04979, nw = 1651 131005.0039.ec.fits: ap = 96, w1 = 3872.282, w2 = 3790.688, dw = -0.04945, nw = 1651 131005.0039.ec.fits: ap = 97, w1 = 3846.299, w2 = 3765.254, dw = -0.04912, nw = 1651 131005.0039.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.158, dw = -0.04879, nw = 1651 131005.0039.ec.fits: ap = 99, w1 = 3795.365, w2 = 3715.394, dw = -0.04847, nw = 1651 131005.0039.ec.fits: ap = 100, w1 = 3770.4, w2 = 3690.956, dw = -0.04815, nw = 1651 131005.0039.ec.fits: ap = 101, w1 = 3745.762, w2 = 3666.837, dw = -0.04783, nw = 1651 131005.0039.ec.fits: ap = 102, w1 = 3721.443, w2 = 3643.031, dw = -0.04752, nw = 1651 131005.0039.ec.fits: ap = 103, w1 = 3697.439, w2 = 3619.533, dw = -0.04722, nw = 1651 131005.0039.ec.fits: ap = 104, w1 = 3673.742, w2 = 3596.335, dw = -0.04691, nw = 1651 131005.0039.ec.fits: ap = 105, w1 = 3650.346, w2 = 3573.432, dw = -0.04661, nw = 1651 131005.0039.ec.fits: ap = 106, w1 = 3627.247, w2 = 3550.819, dw = -0.04632, nw = 1651 131005.0039.ec.fits: ap = 107, w1 = 3604.438, w2 = 3528.49, dw = -0.04603, nw = 1651 131005.0039.ec.fits: ap = 108, w1 = 3581.914, w2 = 3506.44, dw = -0.04574, nw = 1651 131005.0039.ec.fits: ap = 109, w1 = 3559.67, w2 = 3484.663, dw = -0.04546, nw = 1651 131005.0039.ec.fits: ap = 110, w1 = 3537.7, w2 = 3463.156, dw = -0.04518, nw = 1651 131005.0039.ec.fits: ap = 111, w1 = 3516., w2 = 3441.911, dw = -0.0449, nw = 1651 131005.0039.ec.fits: ap = 112, w1 = 3494.564, w2 = 3420.925, dw = -0.04463, nw = 1651 131005.0039.ec.fits: ap = 113, w1 = 3473.388, w2 = 3400.194, dw = -0.04436, nw = 1651 131005.0039.ec.fits: ap = 114, w1 = 3452.467, w2 = 3379.712, dw = -0.04409, nw = 1651 131005.0039.ec.fits: ap = 115, w1 = 3431.796, w2 = 3359.474, dw = -0.04383, nw = 1651 131005.0040.ec.fits: REFSPEC1 = 'EchelleThAr.0038.ec 0.30413124' 131005.0040.ec.fits: REFSPEC2 = 'EchelleThAr.0041.ec 0.69586873' 131005.0040.ec.fits: ap = 1, w1 = 10811.61, w2 = 10583.47, dw = -0.13827, nw = 1651 131005.0040.ec.fits: ap = 2, w1 = 10611.42, w2 = 10387.5, dw = -0.13571, nw = 1651 131005.0040.ec.fits: ap = 3, w1 = 10418.51, w2 = 10198.66, dw = -0.13324, nw = 1651 131005.0040.ec.fits: ap = 4, w1 = 10232.48, w2 = 10016.56, dw = -0.13086, nw = 1651 131005.0040.ec.fits: ap = 5, w1 = 10052.98, w2 = 9840.848, dw = -0.12857, nw = 1651 131005.0040.ec.fits: ap = 6, w1 = 9879.673, w2 = 9671.196, dw = -0.12635, nw = 1651 131005.0040.ec.fits: ap = 7, w1 = 9712.238, w2 = 9507.296, dw = -0.12421, nw = 1651 131005.0040.ec.fits: ap = 8, w1 = 9550.384, w2 = 9348.858, dw = -0.12214, nw = 1651 131005.0040.ec.fits: ap = 9, w1 = 9393.836, w2 = 9195.614, dw = -0.12013, nw = 1651 131005.0040.ec.fits: ap = 10, w1 = 9242.338, w2 = 9047.314, dw = -0.1182, nw = 1651 131005.0040.ec.fits: ap = 11, w1 = 9095.649, w2 = 8903.722, dw = -0.11632, nw = 1651 131005.0040.ec.fits: ap = 12, w1 = 8953.544, w2 = 8764.616, dw = -0.1145, nw = 1651 131005.0040.ec.fits: ap = 13, w1 = 8815.811, w2 = 8629.791, dw = -0.11274, nw = 1651 131005.0040.ec.fits: ap = 14, w1 = 8682.252, w2 = 8499.051, dw = -0.11103, nw = 1651 131005.0040.ec.fits: ap = 15, w1 = 8552.679, w2 = 8372.213, dw = -0.10937, nw = 1651 131005.0040.ec.fits: ap = 16, w1 = 8426.917, w2 = 8249.106, dw = -0.10776, nw = 1651 131005.0040.ec.fits: ap = 17, w1 = 8304.8, w2 = 8129.567, dw = -0.1062, nw = 1651 131005.0040.ec.fits: ap = 18, w1 = 8186.172, w2 = 8013.443, dw = -0.10468, nw = 1651 131005.0040.ec.fits: ap = 19, w1 = 8070.885, w2 = 7900.591, dw = -0.10321, nw = 1651 131005.0040.ec.fits: ap = 20, w1 = 7958.801, w2 = 7790.873, dw = -0.10177, nw = 1651 131005.0040.ec.fits: ap = 21, w1 = 7849.787, w2 = 7684.16, dw = -0.10038, nw = 1651 131005.0040.ec.fits: ap = 22, w1 = 7743.719, w2 = 7580.332, dw = -0.09902, nw = 1651 131005.0040.ec.fits: ap = 23, w1 = 7640.48, w2 = 7479.273, dw = -0.0977, nw = 1651 131005.0040.ec.fits: ap = 24, w1 = 7539.958, w2 = 7380.873, dw = -0.09641, nw = 1651 131005.0040.ec.fits: ap = 25, w1 = 7442.046, w2 = 7285.029, dw = -0.09516, nw = 1651 131005.0040.ec.fits: ap = 26, w1 = 7346.645, w2 = 7191.642, dw = -0.09394, nw = 1651 131005.0040.ec.fits: ap = 27, w1 = 7253.659, w2 = 7100.62, dw = -0.09275, nw = 1651 131005.0040.ec.fits: ap = 28, w1 = 7162.998, w2 = 7011.873, dw = -0.09159, nw = 1651 131005.0040.ec.fits: ap = 29, w1 = 7074.575, w2 = 6925.317, dw = -0.09046, nw = 1651 131005.0040.ec.fits: ap = 30, w1 = 6988.309, w2 = 6840.873, dw = -0.08936, nw = 1651 131005.0040.ec.fits: ap = 31, w1 = 6904.121, w2 = 6758.463, dw = -0.08828, nw = 1651 131005.0040.ec.fits: ap = 32, w1 = 6821.939, w2 = 6678.016, dw = -0.08723, nw = 1651 131005.0040.ec.fits: ap = 33, w1 = 6741.69, w2 = 6599.462, dw = -0.0862, nw = 1651 131005.0040.ec.fits: ap = 34, w1 = 6663.307, w2 = 6522.734, dw = -0.0852, nw = 1651 131005.0040.ec.fits: ap = 35, w1 = 6586.726, w2 = 6447.77, dw = -0.08422, nw = 1651 131005.0040.ec.fits: ap = 36, w1 = 6511.885, w2 = 6374.51, dw = -0.08326, nw = 1651 131005.0040.ec.fits: ap = 37, w1 = 6438.726, w2 = 6302.897, dw = -0.08232, nw = 1651 131005.0040.ec.fits: ap = 38, w1 = 6367.193, w2 = 6232.875, dw = -0.08141, nw = 1651 131005.0040.ec.fits: ap = 39, w1 = 6297.233, w2 = 6164.392, dw = -0.08051, nw = 1651 131005.0040.ec.fits: ap = 40, w1 = 6228.793, w2 = 6097.398, dw = -0.07963, nw = 1651 131005.0040.ec.fits: ap = 41, w1 = 6161.825, w2 = 6031.844, dw = -0.07878, nw = 1651 131005.0040.ec.fits: ap = 42, w1 = 6096.282, w2 = 5967.686, dw = -0.07794, nw = 1651 131005.0040.ec.fits: ap = 43, w1 = 6032.119, w2 = 5904.878, dw = -0.07712, nw = 1651 131005.0040.ec.fits: ap = 44, w1 = 5969.292, w2 = 5843.379, dw = -0.07631, nw = 1651 131005.0040.ec.fits: ap = 45, w1 = 5907.761, w2 = 5783.147, dw = -0.07552, nw = 1651 131005.0040.ec.fits: ap = 46, w1 = 5847.486, w2 = 5724.146, dw = -0.07475, nw = 1651 131005.0040.ec.fits: ap = 47, w1 = 5788.429, w2 = 5666.336, dw = -0.074, nw = 1651 131005.0040.ec.fits: ap = 48, w1 = 5730.552, w2 = 5609.682, dw = -0.07325, nw = 1651 131005.0040.ec.fits: ap = 49, w1 = 5673.822, w2 = 5554.151, dw = -0.07253, nw = 1651 131005.0040.ec.fits: ap = 50, w1 = 5618.205, w2 = 5499.708, dw = -0.07182, nw = 1651 131005.0040.ec.fits: ap = 51, w1 = 5563.667, w2 = 5446.323, dw = -0.07112, nw = 1651 131005.0040.ec.fits: ap = 52, w1 = 5510.178, w2 = 5393.964, dw = -0.07043, nw = 1651 131005.0040.ec.fits: ap = 53, w1 = 5457.708, w2 = 5342.603, dw = -0.06976, nw = 1651 131005.0040.ec.fits: ap = 54, w1 = 5406.229, w2 = 5292.211, dw = -0.0691, nw = 1651 131005.0040.ec.fits: ap = 55, w1 = 5355.711, w2 = 5242.761, dw = -0.06845, nw = 1651 131005.0040.ec.fits: ap = 56, w1 = 5306.129, w2 = 5194.227, dw = -0.06782, nw = 1651 131005.0040.ec.fits: ap = 57, w1 = 5257.457, w2 = 5146.583, dw = -0.0672, nw = 1651 131005.0040.ec.fits: ap = 58, w1 = 5209.67, w2 = 5099.806, dw = -0.06658, nw = 1651 131005.0040.ec.fits: ap = 59, w1 = 5162.744, w2 = 5053.871, dw = -0.06598, nw = 1651 131005.0040.ec.fits: ap = 60, w1 = 5116.656, w2 = 5008.757, dw = -0.06539, nw = 1651 131005.0040.ec.fits: ap = 61, w1 = 5071.383, w2 = 4964.442, dw = -0.06481, nw = 1651 131005.0040.ec.fits: ap = 62, w1 = 5026.905, w2 = 4920.904, dw = -0.06424, nw = 1651 131005.0040.ec.fits: ap = 63, w1 = 4983.201, w2 = 4878.123, dw = -0.06368, nw = 1651 131005.0040.ec.fits: ap = 64, w1 = 4940.25, w2 = 4836.08, dw = -0.06313, nw = 1651 131005.0040.ec.fits: ap = 65, w1 = 4898.034, w2 = 4794.756, dw = -0.06259, nw = 1651 131005.0040.ec.fits: ap = 66, w1 = 4856.533, w2 = 4754.132, dw = -0.06206, nw = 1651 131005.0040.ec.fits: ap = 67, w1 = 4815.729, w2 = 4714.191, dw = -0.06154, nw = 1651 131005.0040.ec.fits: ap = 68, w1 = 4775.606, w2 = 4674.916, dw = -0.06102, nw = 1651 131005.0040.ec.fits: ap = 69, w1 = 4736.146, w2 = 4636.29, dw = -0.06052, nw = 1651 131005.0040.ec.fits: ap = 70, w1 = 4697.332, w2 = 4598.298, dw = -0.06002, nw = 1651 131005.0040.ec.fits: ap = 71, w1 = 4659.15, w2 = 4560.923, dw = -0.05953, nw = 1651 131005.0040.ec.fits: ap = 72, w1 = 4621.584, w2 = 4524.151, dw = -0.05905, nw = 1651 131005.0040.ec.fits: ap = 73, w1 = 4584.619, w2 = 4487.967, dw = -0.05858, nw = 1651 131005.0040.ec.fits: ap = 74, w1 = 4548.24, w2 = 4452.358, dw = -0.05811, nw = 1651 131005.0040.ec.fits: ap = 75, w1 = 4512.435, w2 = 4417.31, dw = -0.05765, nw = 1651 131005.0040.ec.fits: ap = 76, w1 = 4477.189, w2 = 4382.809, dw = -0.0572, nw = 1651 131005.0040.ec.fits: ap = 77, w1 = 4442.489, w2 = 4348.843, dw = -0.05676, nw = 1651 131005.0040.ec.fits: ap = 78, w1 = 4408.323, w2 = 4315.4, dw = -0.05632, nw = 1651 131005.0040.ec.fits: ap = 79, w1 = 4374.679, w2 = 4282.467, dw = -0.05589, nw = 1651 131005.0040.ec.fits: ap = 80, w1 = 4341.545, w2 = 4250.034, dw = -0.05546, nw = 1651 131005.0040.ec.fits: ap = 81, w1 = 4308.909, w2 = 4218.088, dw = -0.05504, nw = 1651 131005.0040.ec.fits: ap = 82, w1 = 4276.76, w2 = 4186.619, dw = -0.05463, nw = 1651 131005.0040.ec.fits: ap = 83, w1 = 4245.087, w2 = 4155.616, dw = -0.05422, nw = 1651 131005.0040.ec.fits: ap = 84, w1 = 4213.88, w2 = 4125.069, dw = -0.05382, nw = 1651 131005.0040.ec.fits: ap = 85, w1 = 4183.128, w2 = 4094.968, dw = -0.05343, nw = 1651 131005.0040.ec.fits: ap = 86, w1 = 4152.822, w2 = 4065.304, dw = -0.05304, nw = 1651 131005.0040.ec.fits: ap = 87, w1 = 4122.952, w2 = 4036.066, dw = -0.05266, nw = 1651 131005.0040.ec.fits: ap = 88, w1 = 4093.509, w2 = 4007.245, dw = -0.05228, nw = 1651 131005.0040.ec.fits: ap = 89, w1 = 4064.483, w2 = 3978.834, dw = -0.05191, nw = 1651 131005.0040.ec.fits: ap = 90, w1 = 4035.866, w2 = 3950.822, dw = -0.05154, nw = 1651 131005.0040.ec.fits: ap = 91, w1 = 4007.649, w2 = 3923.203, dw = -0.05118, nw = 1651 131005.0040.ec.fits: ap = 92, w1 = 3979.824, w2 = 3895.967, dw = -0.05082, nw = 1651 131005.0040.ec.fits: ap = 93, w1 = 3952.383, w2 = 3869.106, dw = -0.05047, nw = 1651 131005.0040.ec.fits: ap = 94, w1 = 3925.317, w2 = 3842.614, dw = -0.05012, nw = 1651 131005.0040.ec.fits: ap = 95, w1 = 3898.62, w2 = 3816.482, dw = -0.04978, nw = 1651 131005.0040.ec.fits: ap = 96, w1 = 3872.283, w2 = 3790.702, dw = -0.04944, nw = 1651 131005.0040.ec.fits: ap = 97, w1 = 3846.3, w2 = 3765.269, dw = -0.04911, nw = 1651 131005.0040.ec.fits: ap = 98, w1 = 3820.663, w2 = 3740.175, dw = -0.04878, nw = 1651 131005.0040.ec.fits: ap = 99, w1 = 3795.365, w2 = 3715.413, dw = -0.04846, nw = 1651 131005.0040.ec.fits: ap = 100, w1 = 3770.4, w2 = 3690.977, dw = -0.04814, nw = 1651 131005.0040.ec.fits: ap = 101, w1 = 3745.761, w2 = 3666.86, dw = -0.04782, nw = 1651 131005.0040.ec.fits: ap = 102, w1 = 3721.443, w2 = 3643.056, dw = -0.04751, nw = 1651 131005.0040.ec.fits: ap = 103, w1 = 3697.437, w2 = 3619.56, dw = -0.0472, nw = 1651 131005.0040.ec.fits: ap = 104, w1 = 3673.74, w2 = 3596.364, dw = -0.04689, nw = 1651 131005.0040.ec.fits: ap = 105, w1 = 3650.344, w2 = 3573.464, dw = -0.04659, nw = 1651 131005.0040.ec.fits: ap = 106, w1 = 3627.244, w2 = 3550.853, dw = -0.0463, nw = 1651 131005.0040.ec.fits: ap = 107, w1 = 3604.434, w2 = 3528.527, dw = -0.046, nw = 1651 131005.0040.ec.fits: ap = 108, w1 = 3581.909, w2 = 3506.48, dw = -0.04571, nw = 1651 131005.0040.ec.fits: ap = 109, w1 = 3559.664, w2 = 3484.706, dw = -0.04543, nw = 1651 131005.0040.ec.fits: ap = 110, w1 = 3537.694, w2 = 3463.201, dw = -0.04515, nw = 1651 131005.0040.ec.fits: ap = 111, w1 = 3515.992, w2 = 3441.96, dw = -0.04487, nw = 1651 131005.0040.ec.fits: ap = 112, w1 = 3494.555, w2 = 3420.978, dw = -0.04459, nw = 1651 131005.0040.ec.fits: ap = 113, w1 = 3473.378, w2 = 3400.249, dw = -0.04432, nw = 1651 131005.0040.ec.fits: ap = 114, w1 = 3452.455, w2 = 3379.771, dw = -0.04405, nw = 1651 131005.0040.ec.fits: ap = 115, w1 = 3431.783, w2 = 3359.537, dw = -0.04379, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10811.64, w2 = 10583.57, dw = -0.13822, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10611.45, w2 = 10387.6, dw = -0.13567, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.75, dw = -0.13321, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.65, dw = -0.13083, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.937, dw = -0.12854, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9879.726, w2 = 9671.283, dw = -0.12633, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.295, w2 = 9507.38, dw = -0.12419, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.444, w2 = 9348.94, dw = -0.12212, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9393.899, w2 = 9195.695, dw = -0.12012, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.403, w2 = 9047.393, dw = -0.11819, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9095.715, w2 = 8903.798, dw = -0.11631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.611, w2 = 8764.691, dw = -0.1145, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8815.879, w2 = 8629.865, dw = -0.11274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.32, w2 = 8499.123, dw = -0.11103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8552.748, w2 = 8372.285, dw = -0.10937, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8426.985, w2 = 8249.176, dw = -0.10776, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8304.868, w2 = 8129.636, dw = -0.1062, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.239, w2 = 8013.512, dw = -0.10468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8070.952, w2 = 7900.658, dw = -0.10321, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7958.866, w2 = 7790.939, dw = -0.10177, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7849.852, w2 = 7684.226, dw = -0.10038, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7743.783, w2 = 7580.397, dw = -0.09902, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.542, w2 = 7479.337, dw = -0.0977, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7540.018, w2 = 7380.936, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.105, w2 = 7285.091, dw = -0.09516, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.702, w2 = 7191.703, dw = -0.09394, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.714, w2 = 7100.68, dw = -0.09275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.05, w2 = 7011.932, dw = -0.09159, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.625, w2 = 6925.376, dw = -0.09045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.357, w2 = 6840.93, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.167, w2 = 6758.52, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6821.982, w2 = 6678.071, dw = -0.08722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.73, w2 = 6599.516, dw = -0.08619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.345, w2 = 6522.787, dw = -0.08519, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6586.762, w2 = 6447.822, dw = -0.08421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6511.919, w2 = 6374.561, dw = -0.08325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.758, w2 = 6302.946, dw = -0.08231, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.222, w2 = 6232.923, dw = -0.08139, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.259, w2 = 6164.439, dw = -0.0805, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6228.817, w2 = 6097.444, dw = -0.07962, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6161.847, w2 = 6031.889, dw = -0.07876, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.302, w2 = 5967.729, dw = -0.07792, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.136, w2 = 5904.92, dw = -0.0771, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.308, w2 = 5843.42, dw = -0.0763, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5907.775, w2 = 5783.188, dw = -0.07551, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.498, w2 = 5724.185, dw = -0.07474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.439, w2 = 5666.374, dw = -0.07398, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.561, w2 = 5609.72, dw = -0.07324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5673.83, w2 = 5554.187, dw = -0.07251, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.211, w2 = 5499.744, dw = -0.0718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.672, w2 = 5446.358, dw = -0.0711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.182, w2 = 5393.998, dw = -0.07041, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.711, w2 = 5342.636, dw = -0.06974, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.231, w2 = 5292.244, dw = -0.06908, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.713, w2 = 5242.793, dw = -0.06844, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.131, w2 = 5194.258, dw = -0.0678, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.458, w2 = 5146.615, dw = -0.06718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.671, w2 = 5099.837, dw = -0.06657, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.745, w2 = 5053.903, dw = -0.06597, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.658, w2 = 5008.789, dw = -0.06538, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.386, w2 = 4964.473, dw = -0.0648, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5026.909, w2 = 4920.936, dw = -0.06423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.206, w2 = 4878.156, dw = -0.06367, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.256, w2 = 4836.113, dw = -0.06312, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.041, w2 = 4794.79, dw = -0.06258, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.542, w2 = 4754.167, dw = -0.06205, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.741, w2 = 4714.227, dw = -0.06152, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.62, w2 = 4674.954, dw = -0.06101, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.163, w2 = 4636.329, dw = -0.06051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.352, w2 = 4598.338, dw = -0.06001, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.173, w2 = 4560.966, dw = -0.05952, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.611, w2 = 4524.196, dw = -0.05904, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.649, w2 = 4488.015, dw = -0.05857, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.275, w2 = 4452.408, dw = -0.0581, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.474, w2 = 4417.363, dw = -0.05764, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.233, w2 = 4382.866, dw = -0.05719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.538, w2 = 4348.903, dw = -0.05675, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.378, w2 = 4315.464, dw = -0.05631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.74, w2 = 4282.536, dw = -0.05588, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.611, w2 = 4250.107, dw = -0.05546, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4308.982, w2 = 4218.165, dw = -0.05504, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.84, w2 = 4186.702, dw = -0.05463, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.174, w2 = 4155.704, dw = -0.05422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4213.974, w2 = 4125.163, dw = -0.05383, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.231, w2 = 4095.068, dw = -0.05343, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4152.933, w2 = 4065.41, dw = -0.05304, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.072, w2 = 4036.179, dw = -0.05266, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.638, w2 = 4007.366, dw = -0.05229, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.622, w2 = 3978.962, dw = -0.05191, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4036.014, w2 = 3950.959, dw = -0.05155, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.808, w2 = 3923.348, dw = -0.05119, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3979.994, w2 = 3896.121, dw = -0.05083, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.564, w2 = 3869.27, dw = -0.05048, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.51, w2 = 3842.787, dw = -0.05013, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.824, w2 = 3816.665, dw = -0.04979, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.5, w2 = 3790.897, dw = -0.04946, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.53, w2 = 3765.475, dw = -0.04912, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.906, w2 = 3740.393, dw = -0.0488, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.622, w2 = 3715.643, dw = -0.04847, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.672, w2 = 3691.22, dw = -0.04815, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3746.048, w2 = 3667.116, dw = -0.04784, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.745, w2 = 3643.326, dw = -0.04753, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.755, w2 = 3619.844, dw = -0.04722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3674.074, w2 = 3596.664, dw = -0.04692, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.695, w2 = 3573.779, dw = -0.04662, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.612, w2 = 3551.185, dw = -0.04632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.82, w2 = 3528.875, dw = -0.04603, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.314, w2 = 3506.845, dw = -0.04574, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3560.087, w2 = 3485.09, dw = -0.04545, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3538.136, w2 = 3463.603, dw = -0.04517, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.454, w2 = 3442.381, dw = -0.04489, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3495.038, w2 = 3421.419, dw = -0.04462, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.882, w2 = 3400.711, dw = -0.04435, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.981, w2 = 3380.253, dw = -0.04408, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3432.331, w2 = 3360.042, dw = -0.04381, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10811.71, w2 = 10583.59, dw = -0.13826, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10611.51, w2 = 10387.61, dw = -0.1357, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.76, dw = -0.13323, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.66, dw = -0.13085, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.945, dw = -0.12856, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9879.752, w2 = 9671.29, dw = -0.12634, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.314, w2 = 9507.385, dw = -0.1242, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.457, w2 = 9348.944, dw = -0.12213, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9393.906, w2 = 9195.698, dw = -0.12013, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.405, w2 = 9047.395, dw = -0.11819, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9095.713, w2 = 8903.8, dw = -0.11631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8953.606, w2 = 8764.692, dw = -0.11449, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8815.87, w2 = 8629.864, dw = -0.11273, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.309, w2 = 8499.122, dw = -0.11102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8552.734, w2 = 8372.283, dw = -0.10936, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8426.97, w2 = 8249.174, dw = -0.10775, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8304.851, w2 = 8129.634, dw = -0.10619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.221, w2 = 8013.509, dw = -0.10467, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8070.933, w2 = 7900.655, dw = -0.1032, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7958.847, w2 = 7790.936, dw = -0.10176, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7849.832, w2 = 7684.222, dw = -0.10037, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7743.763, w2 = 7580.393, dw = -0.09901, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.523, w2 = 7479.333, dw = -0.09769, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7539.999, w2 = 7380.933, dw = -0.0964, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.086, w2 = 7285.088, dw = -0.09515, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7346.684, w2 = 7191.7, dw = -0.09393, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7253.698, w2 = 7100.678, dw = -0.09274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.035, w2 = 7011.93, dw = -0.09158, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.612, w2 = 6925.374, dw = -0.09045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.345, w2 = 6840.929, dw = -0.08934, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.157, w2 = 6758.519, dw = -0.08827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6821.973, w2 = 6678.071, dw = -0.08721, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6741.723, w2 = 6599.516, dw = -0.08619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.34, w2 = 6522.788, dw = -0.08518, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6586.758, w2 = 6447.824, dw = -0.0842, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6511.917, w2 = 6374.564, dw = -0.08324, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6438.758, w2 = 6302.95, dw = -0.08231, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.225, w2 = 6232.928, dw = -0.08139, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.264, w2 = 6164.444, dw = -0.0805, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6228.823, w2 = 6097.449, dw = -0.07962, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6161.855, w2 = 6031.896, dw = -0.07876, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.312, w2 = 5967.737, dw = -0.07792, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.148, w2 = 5904.928, dw = -0.0771, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.322, w2 = 5843.429, dw = -0.0763, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5907.791, w2 = 5783.197, dw = -0.07551, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.515, w2 = 5724.195, dw = -0.07474, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.458, w2 = 5666.385, dw = -0.07398, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.582, w2 = 5609.731, dw = -0.07324, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5673.851, w2 = 5554.199, dw = -0.07252, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.234, w2 = 5499.756, dw = -0.0718, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.696, w2 = 5446.37, dw = -0.07111, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.207, w2 = 5394.011, dw = -0.07042, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.737, w2 = 5342.649, dw = -0.06975, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.257, w2 = 5292.257, dw = -0.06909, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.74, w2 = 5242.806, dw = -0.06844, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.158, w2 = 5194.271, dw = -0.06781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.486, w2 = 5146.627, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.699, w2 = 5099.85, dw = -0.06658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5162.773, w2 = 5053.915, dw = -0.06597, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.685, w2 = 5008.8, dw = -0.06538, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.412, w2 = 4964.484, dw = -0.0648, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5026.935, w2 = 4920.946, dw = -0.06424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.23, w2 = 4878.165, dw = -0.06368, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.28, w2 = 4836.121, dw = -0.06313, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.063, w2 = 4794.797, dw = -0.06259, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.562, w2 = 4754.172, dw = -0.06205, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.759, w2 = 4714.231, dw = -0.06153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.636, w2 = 4674.955, dw = -0.06102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.176, w2 = 4636.329, dw = -0.06051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.363, w2 = 4598.336, dw = -0.06002, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.181, w2 = 4560.961, dw = -0.05953, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.615, w2 = 4524.188, dw = -0.05905, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.65, w2 = 4488.005, dw = -0.05857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.272, w2 = 4452.395, dw = -0.05811, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.466, w2 = 4417.346, dw = -0.05765, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.221, w2 = 4382.845, dw = -0.0572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.521, w2 = 4348.879, dw = -0.05675, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.356, w2 = 4315.436, dw = -0.05632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.712, w2 = 4282.503, dw = -0.05588, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.578, w2 = 4250.07, dw = -0.05546, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4308.942, w2 = 4218.124, dw = -0.05504, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.793, w2 = 4186.655, dw = -0.05463, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.12, w2 = 4155.652, dw = -0.05422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4213.914, w2 = 4125.105, dw = -0.05382, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.162, w2 = 4095.004, dw = -0.05343, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4152.857, w2 = 4065.339, dw = -0.05304, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4122.987, w2 = 4036.102, dw = -0.05266, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.544, w2 = 4007.282, dw = -0.05228, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.519, w2 = 3978.871, dw = -0.05191, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4035.902, w2 = 3950.86, dw = -0.05154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.686, w2 = 3923.24, dw = -0.05118, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3979.861, w2 = 3896.005, dw = -0.05082, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.42, w2 = 3869.145, dw = -0.05047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.355, w2 = 3842.653, dw = -0.05012, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.658, w2 = 3816.522, dw = -0.04978, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.322, w2 = 3790.743, dw = -0.04944, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.339, w2 = 3765.311, dw = -0.04911, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.702, w2 = 3740.218, dw = -0.04878, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.405, w2 = 3715.457, dw = -0.04845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.441, w2 = 3691.022, dw = -0.04813, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.803, w2 = 3666.907, dw = -0.04782, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.484, w2 = 3643.105, dw = -0.0475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.48, w2 = 3619.609, dw = -0.04719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.783, w2 = 3596.416, dw = -0.04689, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.387, w2 = 3573.517, dw = -0.04659, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.288, w2 = 3550.908, dw = -0.04629, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.479, w2 = 3528.584, dw = -0.046, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3581.955, w2 = 3506.539, dw = -0.04571, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.71, w2 = 3484.768, dw = -0.04542, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.74, w2 = 3463.265, dw = -0.04514, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.04, w2 = 3442.026, dw = -0.04486, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.603, w2 = 3421.046, dw = -0.04458, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.427, w2 = 3400.321, dw = -0.04431, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.505, w2 = 3379.845, dw = -0.04404, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.834, w2 = 3359.614, dw = -0.04377, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10811.72, w2 = 10583.59, dw = -0.13826, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10611.52, w2 = 10387.61, dw = -0.1357, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.77, dw = -0.13323, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.66, dw = -0.13086, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10053.07, w2 = 9840.948, dw = -0.12856, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9879.759, w2 = 9671.292, dw = -0.12634, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.321, w2 = 9507.388, dw = -0.1242, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.464, w2 = 9348.947, dw = -0.12213, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9393.914, w2 = 9195.7, dw = -0.12013, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.413, w2 = 9047.397, dw = -0.11819, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9095.721, w2 = 8903.802, dw = -0.11631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8953.614, w2 = 8764.694, dw = -0.1145, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8815.878, w2 = 8629.867, dw = -0.11273, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.317, w2 = 8499.124, dw = -0.11103, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8552.742, w2 = 8372.285, dw = -0.10937, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8426.977, w2 = 8249.176, dw = -0.10776, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8304.858, w2 = 8129.636, dw = -0.1062, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.228, w2 = 8013.511, dw = -0.10468, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8070.94, w2 = 7900.657, dw = -0.1032, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7958.854, w2 = 7790.938, dw = -0.10177, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7849.839, w2 = 7684.224, dw = -0.10037, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7743.77, w2 = 7580.395, dw = -0.09901, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.529, w2 = 7479.335, dw = -0.09769, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7540.005, w2 = 7380.935, dw = -0.09641, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7442.092, w2 = 7285.09, dw = -0.09515, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7346.69, w2 = 7191.702, dw = -0.09393, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7253.703, w2 = 7100.679, dw = -0.09274, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7163.041, w2 = 7011.932, dw = -0.09158, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.617, w2 = 6925.376, dw = -0.09045, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.35, w2 = 6840.931, dw = -0.08934, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.161, w2 = 6758.521, dw = -0.08827, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6821.977, w2 = 6678.073, dw = -0.08721, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6741.727, w2 = 6599.518, dw = -0.08619, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.343, w2 = 6522.79, dw = -0.08518, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6586.762, w2 = 6447.826, dw = -0.0842, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6511.92, w2 = 6374.566, dw = -0.08325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6438.761, w2 = 6302.952, dw = -0.08231, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.227, w2 = 6232.929, dw = -0.08139, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.266, w2 = 6164.446, dw = -0.0805, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6228.826, w2 = 6097.451, dw = -0.07962, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6161.857, w2 = 6031.897, dw = -0.07876, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.314, w2 = 5967.738, dw = -0.07792, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.15, w2 = 5904.93, dw = -0.0771, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.323, w2 = 5843.43, dw = -0.0763, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5907.792, w2 = 5783.199, dw = -0.07551, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.516, w2 = 5724.196, dw = -0.07474, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.459, w2 = 5666.386, dw = -0.07398, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.582, w2 = 5609.732, dw = -0.07324, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5673.852, w2 = 5554.2, dw = -0.07252, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.234, w2 = 5499.757, dw = -0.0718, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.696, w2 = 5446.371, dw = -0.07111, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.207, w2 = 5394.012, dw = -0.07042, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5457.737, w2 = 5342.651, dw = -0.06975, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.257, w2 = 5292.258, dw = -0.06909, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5355.74, w2 = 5242.807, dw = -0.06844, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.158, w2 = 5194.273, dw = -0.06781, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.486, w2 = 5146.629, dw = -0.06719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.699, w2 = 5099.851, dw = -0.06657, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5162.773, w2 = 5053.916, dw = -0.06597, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.685, w2 = 5008.802, dw = -0.06538, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.412, w2 = 4964.486, dw = -0.0648, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5026.935, w2 = 4920.947, dw = -0.06423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.23, w2 = 4878.166, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.28, w2 = 4836.123, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4898.063, w2 = 4794.798, dw = -0.06259, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.563, w2 = 4754.174, dw = -0.06205, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.76, w2 = 4714.233, dw = -0.06153, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.636, w2 = 4674.957, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.177, w2 = 4636.331, dw = -0.06051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.364, w2 = 4598.338, dw = -0.06002, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.182, w2 = 4560.963, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.616, w2 = 4524.191, dw = -0.05905, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.651, w2 = 4488.007, dw = -0.05857, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.273, w2 = 4452.397, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.468, w2 = 4417.349, dw = -0.05765, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.223, w2 = 4382.848, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.524, w2 = 4348.882, dw = -0.05675, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.359, w2 = 4315.439, dw = -0.05631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.715, w2 = 4282.506, dw = -0.05588, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.581, w2 = 4250.073, dw = -0.05546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4308.945, w2 = 4218.127, dw = -0.05504, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4276.797, w2 = 4186.658, dw = -0.05463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.125, w2 = 4155.655, dw = -0.05422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4213.918, w2 = 4125.109, dw = -0.05382, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.167, w2 = 4095.008, dw = -0.05343, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4152.862, w2 = 4065.344, dw = -0.05304, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4122.993, w2 = 4036.106, dw = -0.05266, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.55, w2 = 4007.286, dw = -0.05228, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.525, w2 = 3978.876, dw = -0.05191, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4035.909, w2 = 3950.865, dw = -0.05154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.693, w2 = 3923.246, dw = -0.05118, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3979.869, w2 = 3896.011, dw = -0.05082, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.429, w2 = 3869.151, dw = -0.05047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.364, w2 = 3842.66, dw = -0.05012, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.667, w2 = 3816.529, dw = -0.04978, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.332, w2 = 3790.751, dw = -0.04944, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.349, w2 = 3765.319, dw = -0.04911, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.713, w2 = 3740.226, dw = -0.04878, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.417, w2 = 3715.466, dw = -0.04846, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.453, w2 = 3691.031, dw = -0.04813, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.815, w2 = 3666.916, dw = -0.04782, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.497, w2 = 3643.114, dw = -0.04751, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.493, w2 = 3619.619, dw = -0.0472, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.426, dw = -0.04689, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.402, w2 = 3573.528, dw = -0.04659, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.303, w2 = 3550.92, dw = -0.04629, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.495, w2 = 3528.596, dw = -0.046, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3581.971, w2 = 3506.551, dw = -0.04571, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.727, w2 = 3484.78, dw = -0.04542, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.758, w2 = 3463.278, dw = -0.04514, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3516.058, w2 = 3442.04, dw = -0.04486, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.622, w2 = 3421.061, dw = -0.04458, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.446, w2 = 3400.336, dw = -0.04431, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.525, w2 = 3379.861, dw = -0.04404, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3431.854, w2 = 3359.631, dw = -0.04377, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10811.75, w2 = 10583.61, dw = -0.13827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.63, dw = -0.13571, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10418.63, w2 = 10198.78, dw = -0.13324, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.68, dw = -0.13086, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.09, w2 = 9840.963, dw = -0.12856, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9879.776, w2 = 9671.308, dw = -0.12634, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.336, w2 = 9507.403, dw = -0.1242, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.477, w2 = 9348.961, dw = -0.12213, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9393.925, w2 = 9195.714, dw = -0.12013, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.423, w2 = 9047.41, dw = -0.11819, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9095.73, w2 = 8903.815, dw = -0.11631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.622, w2 = 8764.706, dw = -0.11449, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8815.885, w2 = 8629.878, dw = -0.11273, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.323, w2 = 8499.135, dw = -0.11102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8552.747, w2 = 8372.295, dw = -0.10936, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8426.982, w2 = 8249.186, dw = -0.10776, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8304.863, w2 = 8129.645, dw = -0.10619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.232, w2 = 8013.519, dw = -0.10467, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8070.943, w2 = 7900.665, dw = -0.1032, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7958.857, w2 = 7790.945, dw = -0.10176, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7849.841, w2 = 7684.232, dw = -0.10037, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7743.772, w2 = 7580.402, dw = -0.09901, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.531, w2 = 7479.342, dw = -0.09769, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7540.007, w2 = 7380.94, dw = -0.0964, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.094, w2 = 7285.095, dw = -0.09515, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.692, w2 = 7191.707, dw = -0.09393, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.704, w2 = 7100.684, dw = -0.09274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.042, w2 = 7011.936, dw = -0.09158, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.618, w2 = 6925.38, dw = -0.09045, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.351, w2 = 6840.935, dw = -0.08934, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.162, w2 = 6758.524, dw = -0.08827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6821.978, w2 = 6678.076, dw = -0.08721, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.728, w2 = 6599.521, dw = -0.08619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.344, w2 = 6522.793, dw = -0.08518, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6586.762, w2 = 6447.828, dw = -0.0842, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6511.921, w2 = 6374.568, dw = -0.08324, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6438.761, w2 = 6302.953, dw = -0.08231, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.228, w2 = 6232.931, dw = -0.08139, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.266, w2 = 6164.447, dw = -0.0805, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6228.826, w2 = 6097.452, dw = -0.07962, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6161.857, w2 = 6031.898, dw = -0.07876, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.313, w2 = 5967.739, dw = -0.07792, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.15, w2 = 5904.931, dw = -0.0771, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.323, w2 = 5843.431, dw = -0.0763, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5907.791, w2 = 5783.2, dw = -0.07551, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.515, w2 = 5724.198, dw = -0.07474, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.457, w2 = 5666.387, dw = -0.07398, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.581, w2 = 5609.733, dw = -0.07324, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5673.85, w2 = 5554.201, dw = -0.07251, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.232, w2 = 5499.758, dw = -0.0718, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.694, w2 = 5446.373, dw = -0.0711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.205, w2 = 5394.013, dw = -0.07042, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.734, w2 = 5342.652, dw = -0.06975, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.254, w2 = 5292.259, dw = -0.06909, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.736, w2 = 5242.809, dw = -0.06844, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.154, w2 = 5194.274, dw = -0.06781, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.482, w2 = 5146.63, dw = -0.06718, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.694, w2 = 5099.852, dw = -0.06657, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.768, w2 = 5053.918, dw = -0.06597, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.68, w2 = 5008.803, dw = -0.06538, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.407, w2 = 4964.487, dw = -0.0648, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5026.929, w2 = 4920.949, dw = -0.06423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.225, w2 = 4878.168, dw = -0.06367, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.274, w2 = 4836.125, dw = -0.06312, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.057, w2 = 4794.8, dw = -0.06258, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.556, w2 = 4754.176, dw = -0.06205, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.753, w2 = 4714.235, dw = -0.06153, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.63, w2 = 4674.959, dw = -0.06101, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.17, w2 = 4636.333, dw = -0.06051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.357, w2 = 4598.34, dw = -0.06001, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.175, w2 = 4560.965, dw = -0.05952, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.609, w2 = 4524.193, dw = -0.05904, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.645, w2 = 4488.009, dw = -0.05857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.267, w2 = 4452.399, dw = -0.0581, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.462, w2 = 4417.351, dw = -0.05764, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.216, w2 = 4382.85, dw = -0.05719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.518, w2 = 4348.884, dw = -0.05675, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.353, w2 = 4315.44, dw = -0.05631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.709, w2 = 4282.508, dw = -0.05588, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.576, w2 = 4250.074, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4308.941, w2 = 4218.128, dw = -0.05504, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.793, w2 = 4186.659, dw = -0.05463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.121, w2 = 4155.656, dw = -0.05422, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4213.915, w2 = 4125.109, dw = -0.05382, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.165, w2 = 4095.008, dw = -0.05343, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4152.861, w2 = 4065.343, dw = -0.05304, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4122.992, w2 = 4036.105, dw = -0.05266, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.551, w2 = 4007.285, dw = -0.05228, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.527, w2 = 3978.873, dw = -0.05191, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4035.912, w2 = 3950.862, dw = -0.05155, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.697, w2 = 3923.242, dw = -0.05118, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3979.874, w2 = 3896.007, dw = -0.05083, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.435, w2 = 3869.146, dw = -0.05048, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.372, w2 = 3842.654, dw = -0.05013, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.677, w2 = 3816.522, dw = -0.04979, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.343, w2 = 3790.743, dw = -0.04945, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.363, w2 = 3765.31, dw = -0.04912, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.729, w2 = 3740.217, dw = -0.0488, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.435, w2 = 3715.455, dw = -0.04847, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.473, w2 = 3691.02, dw = -0.04815, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3745.838, w2 = 3666.903, dw = -0.04784, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.522, w2 = 3643.1, dw = -0.04753, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.521, w2 = 3619.604, dw = -0.04722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.827, w2 = 3596.409, dw = -0.04692, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.435, w2 = 3573.51, dw = -0.04662, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.34, w2 = 3550.9, dw = -0.04633, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.534, w2 = 3528.575, dw = -0.04604, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3582.014, w2 = 3506.529, dw = -0.04575, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.774, w2 = 3484.756, dw = -0.04547, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.808, w2 = 3463.252, dw = -0.04519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.112, w2 = 3442.012, dw = -0.04491, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.681, w2 = 3421.031, dw = -0.04464, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.509, w2 = 3400.304, dw = -0.04437, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.592, w2 = 3379.827, dw = -0.0441, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3431.926, w2 = 3359.595, dw = -0.04384, nw = 1651 EchelleThAr.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 1.' zEchelleThAr.0024.ec.fits: ap = 1, w1 = 10811.76, w2 = 10583.6, dw = -0.13828, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 2, w1 = 10611.55, w2 = 10387.63, dw = -0.13571, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 3, w1 = 10418.63, w2 = 10198.78, dw = -0.13324, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 4, w1 = 10232.6, w2 = 10016.68, dw = -0.13086, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 5, w1 = 10053.1, w2 = 9840.962, dw = -0.12857, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 6, w1 = 9879.782, w2 = 9671.307, dw = -0.12635, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 7, w1 = 9712.342, w2 = 9507.402, dw = -0.12421, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 8, w1 = 9550.483, w2 = 9348.961, dw = -0.12213, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 9, w1 = 9393.932, w2 = 9195.715, dw = -0.12013, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 10, w1 = 9242.43, w2 = 9047.412, dw = -0.11819, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 11, w1 = 9095.737, w2 = 8903.817, dw = -0.11632, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 12, w1 = 8953.629, w2 = 8764.709, dw = -0.1145, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 13, w1 = 8815.893, w2 = 8629.881, dw = -0.11273, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 14, w1 = 8682.33, w2 = 8499.139, dw = -0.11103, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 15, w1 = 8552.755, w2 = 8372.299, dw = -0.10937, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 16, w1 = 8426.99, w2 = 8249.19, dw = -0.10776, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 17, w1 = 8304.871, w2 = 8129.649, dw = -0.10619, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 18, w1 = 8186.241, w2 = 8013.524, dw = -0.10468, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 19, w1 = 8070.952, w2 = 7900.67, dw = -0.1032, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 20, w1 = 7958.866, w2 = 7790.951, dw = -0.10177, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 21, w1 = 7849.851, w2 = 7684.237, dw = -0.10037, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 22, w1 = 7743.782, w2 = 7580.408, dw = -0.09901, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 23, w1 = 7640.541, w2 = 7479.348, dw = -0.09769, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 24, w1 = 7540.018, w2 = 7380.947, dw = -0.09641, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 25, w1 = 7442.105, w2 = 7285.101, dw = -0.09515, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 26, w1 = 7346.703, w2 = 7191.714, dw = -0.09393, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 27, w1 = 7253.716, w2 = 7100.691, dw = -0.09274, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 28, w1 = 7163.054, w2 = 7011.943, dw = -0.09158, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 29, w1 = 7074.63, w2 = 6925.387, dw = -0.09045, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 30, w1 = 6988.363, w2 = 6840.942, dw = -0.08935, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 31, w1 = 6904.175, w2 = 6758.531, dw = -0.08827, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 32, w1 = 6821.991, w2 = 6678.083, dw = -0.08722, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 33, w1 = 6741.741, w2 = 6599.528, dw = -0.08619, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 34, w1 = 6663.357, w2 = 6522.8, dw = -0.08519, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 35, w1 = 6586.775, w2 = 6447.836, dw = -0.08421, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 36, w1 = 6511.934, w2 = 6374.575, dw = -0.08325, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 37, w1 = 6438.775, w2 = 6302.961, dw = -0.08231, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 38, w1 = 6367.241, w2 = 6232.938, dw = -0.0814, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 39, w1 = 6297.28, w2 = 6164.455, dw = -0.0805, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 40, w1 = 6228.839, w2 = 6097.46, dw = -0.07962, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 41, w1 = 6161.87, w2 = 6031.906, dw = -0.07877, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 42, w1 = 6096.327, w2 = 5967.747, dw = -0.07793, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 43, w1 = 6032.163, w2 = 5904.939, dw = -0.07711, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 44, w1 = 5969.336, w2 = 5843.439, dw = -0.0763, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 45, w1 = 5907.805, w2 = 5783.207, dw = -0.07551, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 46, w1 = 5847.529, w2 = 5724.205, dw = -0.07474, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 47, w1 = 5788.471, w2 = 5666.395, dw = -0.07399, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 48, w1 = 5730.594, w2 = 5609.741, dw = -0.07324, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 49, w1 = 5673.863, w2 = 5554.209, dw = -0.07252, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 50, w1 = 5618.245, w2 = 5499.766, dw = -0.07181, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 51, w1 = 5563.707, w2 = 5446.38, dw = -0.07111, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 52, w1 = 5510.218, w2 = 5394.021, dw = -0.07042, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 53, w1 = 5457.747, w2 = 5342.659, dw = -0.06975, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 54, w1 = 5406.267, w2 = 5292.267, dw = -0.06909, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 55, w1 = 5355.749, w2 = 5242.816, dw = -0.06844, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 56, w1 = 5306.167, w2 = 5194.281, dw = -0.06781, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 57, w1 = 5257.494, w2 = 5146.637, dw = -0.06719, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 58, w1 = 5209.707, w2 = 5099.86, dw = -0.06657, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 59, w1 = 5162.78, w2 = 5053.925, dw = -0.06597, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 60, w1 = 5116.692, w2 = 5008.81, dw = -0.06538, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 61, w1 = 5071.419, w2 = 4964.495, dw = -0.0648, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 62, w1 = 5026.941, w2 = 4920.956, dw = -0.06423, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 63, w1 = 4983.236, w2 = 4878.175, dw = -0.06367, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 64, w1 = 4940.285, w2 = 4836.132, dw = -0.06312, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 65, w1 = 4898.069, w2 = 4794.807, dw = -0.06258, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 66, w1 = 4856.567, w2 = 4754.183, dw = -0.06205, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 67, w1 = 4815.764, w2 = 4714.242, dw = -0.06153, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 68, w1 = 4775.641, w2 = 4674.966, dw = -0.06101, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 69, w1 = 4736.18, w2 = 4636.34, dw = -0.06051, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 70, w1 = 4697.367, w2 = 4598.347, dw = -0.06001, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 71, w1 = 4659.185, w2 = 4560.972, dw = -0.05952, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 72, w1 = 4621.619, w2 = 4524.2, dw = -0.05904, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 73, w1 = 4584.654, w2 = 4488.016, dw = -0.05857, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 74, w1 = 4548.276, w2 = 4452.407, dw = -0.0581, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 75, w1 = 4512.471, w2 = 4417.358, dw = -0.05764, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 76, w1 = 4477.225, w2 = 4382.857, dw = -0.05719, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 77, w1 = 4442.526, w2 = 4348.891, dw = -0.05675, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 78, w1 = 4408.361, w2 = 4315.448, dw = -0.05631, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 79, w1 = 4374.718, w2 = 4282.515, dw = -0.05588, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 80, w1 = 4341.584, w2 = 4250.082, dw = -0.05546, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 81, w1 = 4308.949, w2 = 4218.136, dw = -0.05504, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 82, w1 = 4276.801, w2 = 4186.667, dw = -0.05463, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 83, w1 = 4245.129, w2 = 4155.664, dw = -0.05422, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 84, w1 = 4213.923, w2 = 4125.117, dw = -0.05382, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 85, w1 = 4183.173, w2 = 4095.017, dw = -0.05343, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 86, w1 = 4152.868, w2 = 4065.352, dw = -0.05304, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 87, w1 = 4123., w2 = 4036.114, dw = -0.05266, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 88, w1 = 4093.558, w2 = 4007.294, dw = -0.05228, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 89, w1 = 4064.534, w2 = 3978.883, dw = -0.05191, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 90, w1 = 4035.919, w2 = 3950.872, dw = -0.05154, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 91, w1 = 4007.704, w2 = 3923.253, dw = -0.05118, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 92, w1 = 3979.881, w2 = 3896.017, dw = -0.05083, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 93, w1 = 3952.442, w2 = 3869.157, dw = -0.05048, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 94, w1 = 3925.379, w2 = 3842.666, dw = -0.05013, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 95, w1 = 3898.685, w2 = 3816.534, dw = -0.04979, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 96, w1 = 3872.351, w2 = 3790.756, dw = -0.04945, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 97, w1 = 3846.37, w2 = 3765.323, dw = -0.04912, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 98, w1 = 3820.736, w2 = 3740.23, dw = -0.04879, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 99, w1 = 3795.442, w2 = 3715.469, dw = -0.04847, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 100, w1 = 3770.48, w2 = 3691.034, dw = -0.04815, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 101, w1 = 3745.845, w2 = 3666.918, dw = -0.04783, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 102, w1 = 3721.53, w2 = 3643.116, dw = -0.04752, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 103, w1 = 3697.529, w2 = 3619.62, dw = -0.04722, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 104, w1 = 3673.835, w2 = 3596.426, dw = -0.04691, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 105, w1 = 3650.444, w2 = 3573.527, dw = -0.04662, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 106, w1 = 3627.348, w2 = 3550.918, dw = -0.04632, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 107, w1 = 3604.543, w2 = 3528.593, dw = -0.04603, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 108, w1 = 3582.024, w2 = 3506.548, dw = -0.04574, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 109, w1 = 3559.784, w2 = 3484.776, dw = -0.04546, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 110, w1 = 3537.818, w2 = 3463.273, dw = -0.04518, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 111, w1 = 3516.123, w2 = 3442.033, dw = -0.0449, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 112, w1 = 3494.691, w2 = 3421.053, dw = -0.04463, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 113, w1 = 3473.52, w2 = 3400.327, dw = -0.04436, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 114, w1 = 3452.604, w2 = 3379.85, dw = -0.04409, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 115, w1 = 3431.938, w2 = 3359.619, dw = -0.04383, nw = 1651 EchelleThAr.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0027.ec 1.' zEchelleThAr.0027.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.54, dw = -0.13827, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.57, dw = -0.13571, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.72, dw = -0.13324, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.62, dw = -0.13086, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 5, w1 = 10053.04, w2 = 9840.908, dw = -0.12857, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 6, w1 = 9879.733, w2 = 9671.254, dw = -0.12635, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 7, w1 = 9712.296, w2 = 9507.351, dw = -0.12421, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 8, w1 = 9550.441, w2 = 9348.911, dw = -0.12214, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 9, w1 = 9393.891, w2 = 9195.665, dw = -0.12014, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 10, w1 = 9242.391, w2 = 9047.363, dw = -0.1182, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 11, w1 = 9095.7, w2 = 8903.769, dw = -0.11632, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 12, w1 = 8953.593, w2 = 8764.662, dw = -0.1145, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 13, w1 = 8815.859, w2 = 8629.835, dw = -0.11274, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 14, w1 = 8682.297, w2 = 8499.093, dw = -0.11103, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 15, w1 = 8552.723, w2 = 8372.255, dw = -0.10937, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 16, w1 = 8426.959, w2 = 8249.146, dw = -0.10777, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 17, w1 = 8304.84, w2 = 8129.606, dw = -0.1062, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 18, w1 = 8186.21, w2 = 8013.482, dw = -0.10468, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 19, w1 = 8070.922, w2 = 7900.628, dw = -0.10321, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 20, w1 = 7958.836, w2 = 7790.909, dw = -0.10177, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 21, w1 = 7849.821, w2 = 7684.196, dw = -0.10038, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 22, w1 = 7743.752, w2 = 7580.368, dw = -0.09902, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 23, w1 = 7640.512, w2 = 7479.308, dw = -0.0977, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 24, w1 = 7539.988, w2 = 7380.907, dw = -0.09641, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 25, w1 = 7442.075, w2 = 7285.063, dw = -0.09516, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 26, w1 = 7346.673, w2 = 7191.676, dw = -0.09394, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 27, w1 = 7253.686, w2 = 7100.653, dw = -0.09275, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 28, w1 = 7163.023, w2 = 7011.905, dw = -0.09159, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 29, w1 = 7074.6, w2 = 6925.35, dw = -0.09045, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 30, w1 = 6988.333, w2 = 6840.905, dw = -0.08935, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 31, w1 = 6904.144, w2 = 6758.495, dw = -0.08827, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 32, w1 = 6821.96, w2 = 6678.047, dw = -0.08722, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 33, w1 = 6741.71, w2 = 6599.492, dw = -0.08619, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 34, w1 = 6663.326, w2 = 6522.764, dw = -0.08519, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 35, w1 = 6586.745, w2 = 6447.8, dw = -0.08421, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 36, w1 = 6511.903, w2 = 6374.54, dw = -0.08325, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 37, w1 = 6438.744, w2 = 6302.926, dw = -0.08231, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 38, w1 = 6367.21, w2 = 6232.904, dw = -0.0814, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 39, w1 = 6297.249, w2 = 6164.42, dw = -0.0805, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 40, w1 = 6228.809, w2 = 6097.426, dw = -0.07963, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.872, dw = -0.07877, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 42, w1 = 6096.297, w2 = 5967.713, dw = -0.07793, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 43, w1 = 6032.133, w2 = 5904.905, dw = -0.07711, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 44, w1 = 5969.307, w2 = 5843.406, dw = -0.0763, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 45, w1 = 5907.775, w2 = 5783.174, dw = -0.07552, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 46, w1 = 5847.5, w2 = 5724.172, dw = -0.07474, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 47, w1 = 5788.442, w2 = 5666.362, dw = -0.07399, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 48, w1 = 5730.566, w2 = 5609.708, dw = -0.07325, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 49, w1 = 5673.836, w2 = 5554.176, dw = -0.07252, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 50, w1 = 5618.218, w2 = 5499.733, dw = -0.07181, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 51, w1 = 5563.68, w2 = 5446.348, dw = -0.07111, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 52, w1 = 5510.192, w2 = 5393.989, dw = -0.07043, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 53, w1 = 5457.722, w2 = 5342.627, dw = -0.06975, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 54, w1 = 5406.242, w2 = 5292.235, dw = -0.0691, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 55, w1 = 5355.725, w2 = 5242.785, dw = -0.06845, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 56, w1 = 5306.143, w2 = 5194.25, dw = -0.06781, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 57, w1 = 5257.471, w2 = 5146.606, dw = -0.06719, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 58, w1 = 5209.684, w2 = 5099.829, dw = -0.06658, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 59, w1 = 5162.758, w2 = 5053.894, dw = -0.06598, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 60, w1 = 5116.67, w2 = 5008.78, dw = -0.06539, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 61, w1 = 5071.398, w2 = 4964.464, dw = -0.06481, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 62, w1 = 5026.921, w2 = 4920.926, dw = -0.06424, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.145, dw = -0.06368, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 64, w1 = 4940.266, w2 = 4836.102, dw = -0.06313, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 65, w1 = 4898.05, w2 = 4794.778, dw = -0.06259, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 66, w1 = 4856.549, w2 = 4754.154, dw = -0.06206, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 67, w1 = 4815.746, w2 = 4714.213, dw = -0.06154, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 68, w1 = 4775.623, w2 = 4674.938, dw = -0.06102, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 69, w1 = 4736.163, w2 = 4636.312, dw = -0.06052, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 70, w1 = 4697.351, w2 = 4598.319, dw = -0.06002, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 71, w1 = 4659.169, w2 = 4560.944, dw = -0.05953, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 72, w1 = 4621.603, w2 = 4524.173, dw = -0.05905, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 73, w1 = 4584.638, w2 = 4487.989, dw = -0.05858, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 74, w1 = 4548.261, w2 = 4452.38, dw = -0.05811, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 75, w1 = 4512.456, w2 = 4417.332, dw = -0.05765, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 76, w1 = 4477.21, w2 = 4382.831, dw = -0.0572, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 77, w1 = 4442.511, w2 = 4348.866, dw = -0.05675, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 78, w1 = 4408.346, w2 = 4315.423, dw = -0.05632, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 79, w1 = 4374.702, w2 = 4282.491, dw = -0.05589, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 80, w1 = 4341.568, w2 = 4250.058, dw = -0.05546, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 81, w1 = 4308.932, w2 = 4218.112, dw = -0.05504, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 82, w1 = 4276.783, w2 = 4186.644, dw = -0.05463, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 83, w1 = 4245.111, w2 = 4155.641, dw = -0.05422, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 84, w1 = 4213.904, w2 = 4125.095, dw = -0.05382, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 85, w1 = 4183.153, w2 = 4094.995, dw = -0.05343, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 86, w1 = 4152.848, w2 = 4065.331, dw = -0.05304, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 87, w1 = 4122.978, w2 = 4036.094, dw = -0.05266, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 88, w1 = 4093.535, w2 = 4007.275, dw = -0.05228, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 89, w1 = 4064.51, w2 = 3978.864, dw = -0.05191, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 90, w1 = 4035.893, w2 = 3950.854, dw = -0.05154, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 91, w1 = 4007.676, w2 = 3923.235, dw = -0.05118, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 92, w1 = 3979.852, w2 = 3896.001, dw = -0.05082, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 93, w1 = 3952.411, w2 = 3869.141, dw = -0.05047, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 94, w1 = 3925.345, w2 = 3842.65, dw = -0.05012, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 95, w1 = 3898.648, w2 = 3816.52, dw = -0.04977, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 96, w1 = 3872.311, w2 = 3790.742, dw = -0.04944, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 97, w1 = 3846.328, w2 = 3765.311, dw = -0.0491, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 98, w1 = 3820.691, w2 = 3740.218, dw = -0.04877, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 99, w1 = 3795.394, w2 = 3715.458, dw = -0.04845, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 100, w1 = 3770.429, w2 = 3691.024, dw = -0.04812, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 101, w1 = 3745.79, w2 = 3666.909, dw = -0.04781, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 102, w1 = 3721.471, w2 = 3643.108, dw = -0.04749, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 103, w1 = 3697.466, w2 = 3619.614, dw = -0.04718, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 104, w1 = 3673.768, w2 = 3596.42, dw = -0.04688, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 105, w1 = 3650.372, w2 = 3573.523, dw = -0.04658, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 106, w1 = 3627.271, w2 = 3550.915, dw = -0.04628, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 107, w1 = 3604.461, w2 = 3528.592, dw = -0.04598, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 108, w1 = 3581.936, w2 = 3506.547, dw = -0.04569, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 109, w1 = 3559.691, w2 = 3484.777, dw = -0.0454, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 110, w1 = 3537.72, w2 = 3463.275, dw = -0.04512, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 111, w1 = 3516.018, w2 = 3442.037, dw = -0.04484, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 112, w1 = 3494.58, w2 = 3421.058, dw = -0.04456, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 113, w1 = 3473.402, w2 = 3400.334, dw = -0.04428, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 114, w1 = 3452.479, w2 = 3379.859, dw = -0.04401, nw = 1651 zEchelleThAr.0027.ec.fits: ap = 115, w1 = 3431.806, w2 = 3359.629, dw = -0.04374, nw = 1651 EchelleThAr.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0030.ec 1.' zEchelleThAr.0030.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.53, dw = -0.13827, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.55, dw = -0.13571, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.71, dw = -0.13324, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.6, dw = -0.13086, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.888, dw = -0.12857, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 6, w1 = 9879.709, w2 = 9671.233, dw = -0.12635, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 7, w1 = 9712.27, w2 = 9507.329, dw = -0.12421, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 8, w1 = 9550.413, w2 = 9348.888, dw = -0.12214, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 9, w1 = 9393.862, w2 = 9195.642, dw = -0.12013, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 10, w1 = 9242.361, w2 = 9047.339, dw = -0.1182, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 11, w1 = 9095.67, w2 = 8903.744, dw = -0.11632, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 12, w1 = 8953.563, w2 = 8764.637, dw = -0.1145, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 13, w1 = 8815.829, w2 = 8629.81, dw = -0.11274, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 14, w1 = 8682.268, w2 = 8499.068, dw = -0.11103, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 15, w1 = 8552.694, w2 = 8372.23, dw = -0.10937, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 16, w1 = 8426.931, w2 = 8249.121, dw = -0.10776, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 17, w1 = 8304.813, w2 = 8129.581, dw = -0.1062, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 18, w1 = 8186.184, w2 = 8013.457, dw = -0.10468, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 19, w1 = 8070.897, w2 = 7900.603, dw = -0.10321, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 20, w1 = 7958.812, w2 = 7790.885, dw = -0.10177, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 21, w1 = 7849.798, w2 = 7684.172, dw = -0.10038, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 22, w1 = 7743.73, w2 = 7580.344, dw = -0.09902, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 23, w1 = 7640.491, w2 = 7479.284, dw = -0.0977, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 24, w1 = 7539.969, w2 = 7380.884, dw = -0.09641, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 25, w1 = 7442.057, w2 = 7285.04, dw = -0.09516, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 26, w1 = 7346.656, w2 = 7191.653, dw = -0.09394, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 27, w1 = 7253.67, w2 = 7100.631, dw = -0.09275, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 28, w1 = 7163.009, w2 = 7011.884, dw = -0.09159, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 29, w1 = 7074.587, w2 = 6925.329, dw = -0.09046, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 30, w1 = 6988.321, w2 = 6840.885, dw = -0.08936, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 31, w1 = 6904.133, w2 = 6758.475, dw = -0.08828, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 32, w1 = 6821.951, w2 = 6678.028, dw = -0.08723, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 33, w1 = 6741.702, w2 = 6599.473, dw = -0.0862, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 34, w1 = 6663.319, w2 = 6522.746, dw = -0.0852, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 35, w1 = 6586.738, w2 = 6447.782, dw = -0.08422, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 36, w1 = 6511.897, w2 = 6374.523, dw = -0.08326, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 37, w1 = 6438.739, w2 = 6302.909, dw = -0.08232, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 38, w1 = 6367.206, w2 = 6232.887, dw = -0.08141, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 39, w1 = 6297.245, w2 = 6164.404, dw = -0.08051, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 40, w1 = 6228.805, w2 = 6097.41, dw = -0.07963, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 41, w1 = 6161.837, w2 = 6031.857, dw = -0.07878, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 42, w1 = 6096.294, w2 = 5967.698, dw = -0.07794, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 43, w1 = 6032.131, w2 = 5904.891, dw = -0.07712, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 44, w1 = 5969.304, w2 = 5843.392, dw = -0.07631, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 45, w1 = 5907.773, w2 = 5783.16, dw = -0.07552, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 46, w1 = 5847.498, w2 = 5724.159, dw = -0.07475, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 47, w1 = 5788.44, w2 = 5666.349, dw = -0.07399, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 48, w1 = 5730.564, w2 = 5609.695, dw = -0.07325, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 49, w1 = 5673.833, w2 = 5554.164, dw = -0.07253, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 50, w1 = 5618.215, w2 = 5499.721, dw = -0.07181, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 51, w1 = 5563.677, w2 = 5446.336, dw = -0.07112, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 52, w1 = 5510.188, w2 = 5393.977, dw = -0.07043, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 53, w1 = 5457.718, w2 = 5342.616, dw = -0.06976, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 54, w1 = 5406.238, w2 = 5292.223, dw = -0.0691, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 55, w1 = 5355.72, w2 = 5242.773, dw = -0.06845, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 56, w1 = 5306.137, w2 = 5194.239, dw = -0.06782, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 57, w1 = 5257.465, w2 = 5146.595, dw = -0.06719, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 58, w1 = 5209.677, w2 = 5099.817, dw = -0.06658, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 59, w1 = 5162.751, w2 = 5053.883, dw = -0.06598, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 60, w1 = 5116.663, w2 = 5008.769, dw = -0.06539, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 61, w1 = 5071.39, w2 = 4964.453, dw = -0.06481, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 62, w1 = 5026.912, w2 = 4920.915, dw = -0.06424, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 63, w1 = 4983.207, w2 = 4878.134, dw = -0.06368, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 64, w1 = 4940.256, w2 = 4836.09, dw = -0.06313, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 65, w1 = 4898.039, w2 = 4794.766, dw = -0.06259, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 66, w1 = 4856.538, w2 = 4754.142, dw = -0.06206, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 67, w1 = 4815.734, w2 = 4714.201, dw = -0.06154, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 68, w1 = 4775.611, w2 = 4674.925, dw = -0.06102, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 69, w1 = 4736.15, w2 = 4636.299, dw = -0.06052, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 70, w1 = 4697.337, w2 = 4598.306, dw = -0.06002, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 71, w1 = 4659.155, w2 = 4560.931, dw = -0.05953, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 72, w1 = 4621.589, w2 = 4524.159, dw = -0.05905, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 73, w1 = 4584.624, w2 = 4487.975, dw = -0.05858, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 74, w1 = 4548.246, w2 = 4452.365, dw = -0.05811, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 75, w1 = 4512.44, w2 = 4417.317, dw = -0.05765, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 76, w1 = 4477.195, w2 = 4382.816, dw = -0.0572, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 77, w1 = 4442.496, w2 = 4348.85, dw = -0.05676, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 78, w1 = 4408.33, w2 = 4315.406, dw = -0.05632, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 79, w1 = 4374.687, w2 = 4282.474, dw = -0.05589, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 80, w1 = 4341.553, w2 = 4250.04, dw = -0.05546, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 81, w1 = 4308.918, w2 = 4218.094, dw = -0.05504, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 82, w1 = 4276.77, w2 = 4186.625, dw = -0.05463, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 83, w1 = 4245.098, w2 = 4155.622, dw = -0.05423, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 84, w1 = 4213.892, w2 = 4125.075, dw = -0.05383, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 85, w1 = 4183.142, w2 = 4094.974, dw = -0.05344, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 86, w1 = 4152.838, w2 = 4065.309, dw = -0.05305, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 87, w1 = 4122.97, w2 = 4036.072, dw = -0.05267, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 88, w1 = 4093.528, w2 = 4007.251, dw = -0.05229, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 89, w1 = 4064.504, w2 = 3978.84, dw = -0.05192, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 90, w1 = 4035.89, w2 = 3950.829, dw = -0.05155, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 91, w1 = 4007.675, w2 = 3923.21, dw = -0.05119, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 92, w1 = 3979.853, w2 = 3895.974, dw = -0.05084, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 93, w1 = 3952.414, w2 = 3869.114, dw = -0.05048, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 94, w1 = 3925.351, w2 = 3842.622, dw = -0.05014, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 95, w1 = 3898.657, w2 = 3816.49, dw = -0.0498, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 96, w1 = 3872.324, w2 = 3790.712, dw = -0.04946, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 97, w1 = 3846.344, w2 = 3765.28, dw = -0.04913, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 98, w1 = 3820.711, w2 = 3740.186, dw = -0.0488, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 99, w1 = 3795.417, w2 = 3715.425, dw = -0.04848, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 100, w1 = 3770.456, w2 = 3690.99, dw = -0.04816, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 101, w1 = 3745.822, w2 = 3666.874, dw = -0.04785, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 102, w1 = 3721.508, w2 = 3643.072, dw = -0.04754, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 103, w1 = 3697.508, w2 = 3619.577, dw = -0.04723, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 104, w1 = 3673.815, w2 = 3596.382, dw = -0.04693, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 105, w1 = 3650.425, w2 = 3573.484, dw = -0.04663, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 106, w1 = 3627.331, w2 = 3550.875, dw = -0.04634, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 107, w1 = 3604.527, w2 = 3528.55, dw = -0.04605, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 108, w1 = 3582.009, w2 = 3506.505, dw = -0.04576, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 109, w1 = 3559.77, w2 = 3484.733, dw = -0.04548, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 110, w1 = 3537.807, w2 = 3463.23, dw = -0.0452, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 111, w1 = 3516.112, w2 = 3441.991, dw = -0.04492, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 112, w1 = 3494.683, w2 = 3421.011, dw = -0.04465, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 113, w1 = 3473.514, w2 = 3400.285, dw = -0.04438, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 114, w1 = 3452.6, w2 = 3379.809, dw = -0.04412, nw = 1651 zEchelleThAr.0030.ec.fits: ap = 115, w1 = 3431.936, w2 = 3359.578, dw = -0.04385, nw = 1651 EchelleThAr.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 1.' zEchelleThAr.0032.ec.fits: ap = 1, w1 = 10811.65, w2 = 10583.51, dw = -0.13826, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 2, w1 = 10611.45, w2 = 10387.54, dw = -0.1357, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.69, dw = -0.13324, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.59, dw = -0.13086, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.878, dw = -0.12856, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 6, w1 = 9879.696, w2 = 9671.223, dw = -0.12635, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 7, w1 = 9712.259, w2 = 9507.32, dw = -0.12421, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 8, w1 = 9550.403, w2 = 9348.879, dw = -0.12214, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 9, w1 = 9393.854, w2 = 9195.634, dw = -0.12013, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 10, w1 = 9242.355, w2 = 9047.331, dw = -0.1182, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 11, w1 = 9095.665, w2 = 8903.737, dw = -0.11632, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 12, w1 = 8953.558, w2 = 8764.63, dw = -0.1145, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 13, w1 = 8815.824, w2 = 8629.803, dw = -0.11274, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 14, w1 = 8682.264, w2 = 8499.061, dw = -0.11103, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 15, w1 = 8552.69, w2 = 8372.222, dw = -0.10937, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 16, w1 = 8426.928, w2 = 8249.114, dw = -0.10777, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 17, w1 = 8304.81, w2 = 8129.574, dw = -0.1062, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 18, w1 = 8186.181, w2 = 8013.449, dw = -0.10469, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 19, w1 = 8070.894, w2 = 7900.596, dw = -0.10321, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 20, w1 = 7958.809, w2 = 7790.877, dw = -0.10178, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 21, w1 = 7849.795, w2 = 7684.165, dw = -0.10038, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 22, w1 = 7743.727, w2 = 7580.336, dw = -0.09903, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 23, w1 = 7640.488, w2 = 7479.276, dw = -0.0977, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 24, w1 = 7539.965, w2 = 7380.876, dw = -0.09642, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 25, w1 = 7442.054, w2 = 7285.032, dw = -0.09516, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 26, w1 = 7346.652, w2 = 7191.645, dw = -0.09394, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 27, w1 = 7253.666, w2 = 7100.622, dw = -0.09275, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 28, w1 = 7163.005, w2 = 7011.875, dw = -0.09159, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 29, w1 = 7074.582, w2 = 6925.32, dw = -0.09046, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 30, w1 = 6988.316, w2 = 6840.875, dw = -0.08936, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 31, w1 = 6904.128, w2 = 6758.466, dw = -0.08828, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 32, w1 = 6821.945, w2 = 6678.018, dw = -0.08723, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 33, w1 = 6741.696, w2 = 6599.464, dw = -0.0862, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 34, w1 = 6663.313, w2 = 6522.736, dw = -0.0852, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 35, w1 = 6586.732, w2 = 6447.772, dw = -0.08422, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 36, w1 = 6511.891, w2 = 6374.513, dw = -0.08326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 37, w1 = 6438.732, w2 = 6302.899, dw = -0.08232, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 38, w1 = 6367.199, w2 = 6232.877, dw = -0.08141, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 39, w1 = 6297.238, w2 = 6164.394, dw = -0.08051, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 40, w1 = 6228.799, w2 = 6097.4, dw = -0.07964, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 41, w1 = 6161.83, w2 = 6031.847, dw = -0.07878, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 42, w1 = 6096.287, w2 = 5967.688, dw = -0.07794, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 43, w1 = 6032.124, w2 = 5904.88, dw = -0.07712, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 44, w1 = 5969.298, w2 = 5843.381, dw = -0.07631, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 45, w1 = 5907.767, w2 = 5783.15, dw = -0.07552, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 46, w1 = 5847.491, w2 = 5724.149, dw = -0.07475, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 47, w1 = 5788.434, w2 = 5666.339, dw = -0.074, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 48, w1 = 5730.557, w2 = 5609.685, dw = -0.07326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 49, w1 = 5673.827, w2 = 5554.154, dw = -0.07253, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 50, w1 = 5618.209, w2 = 5499.712, dw = -0.07182, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 51, w1 = 5563.672, w2 = 5446.326, dw = -0.07112, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 52, w1 = 5510.183, w2 = 5393.968, dw = -0.07043, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 53, w1 = 5457.713, w2 = 5342.606, dw = -0.06976, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 54, w1 = 5406.233, w2 = 5292.214, dw = -0.0691, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 55, w1 = 5355.715, w2 = 5242.764, dw = -0.06845, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 56, w1 = 5306.133, w2 = 5194.23, dw = -0.06782, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 57, w1 = 5257.461, w2 = 5146.587, dw = -0.0672, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 58, w1 = 5209.674, w2 = 5099.809, dw = -0.06658, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 59, w1 = 5162.747, w2 = 5053.875, dw = -0.06598, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 60, w1 = 5116.659, w2 = 5008.761, dw = -0.06539, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 61, w1 = 5071.387, w2 = 4964.446, dw = -0.06481, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 62, w1 = 5026.909, w2 = 4920.908, dw = -0.06424, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 63, w1 = 4983.204, w2 = 4878.127, dw = -0.06368, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 64, w1 = 4940.254, w2 = 4836.084, dw = -0.06313, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 65, w1 = 4898.037, w2 = 4794.76, dw = -0.06259, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 66, w1 = 4856.536, w2 = 4754.136, dw = -0.06206, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 67, w1 = 4815.733, w2 = 4714.195, dw = -0.06154, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 68, w1 = 4775.609, w2 = 4674.92, dw = -0.06102, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 69, w1 = 4736.149, w2 = 4636.294, dw = -0.06052, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 70, w1 = 4697.336, w2 = 4598.302, dw = -0.06002, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 71, w1 = 4659.154, w2 = 4560.927, dw = -0.05953, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 72, w1 = 4621.588, w2 = 4524.155, dw = -0.05905, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 73, w1 = 4584.623, w2 = 4487.971, dw = -0.05858, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 74, w1 = 4548.245, w2 = 4452.362, dw = -0.05811, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 75, w1 = 4512.439, w2 = 4417.314, dw = -0.05765, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 76, w1 = 4477.194, w2 = 4382.813, dw = -0.0572, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 77, w1 = 4442.494, w2 = 4348.847, dw = -0.05676, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 78, w1 = 4408.329, w2 = 4315.404, dw = -0.05632, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 79, w1 = 4374.685, w2 = 4282.472, dw = -0.05589, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 80, w1 = 4341.551, w2 = 4250.038, dw = -0.05546, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 81, w1 = 4308.916, w2 = 4218.092, dw = -0.05504, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 82, w1 = 4276.767, w2 = 4186.623, dw = -0.05463, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 83, w1 = 4245.095, w2 = 4155.621, dw = -0.05423, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 84, w1 = 4213.888, w2 = 4125.074, dw = -0.05383, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 85, w1 = 4183.137, w2 = 4094.973, dw = -0.05343, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 86, w1 = 4152.832, w2 = 4065.308, dw = -0.05304, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 87, w1 = 4122.963, w2 = 4036.071, dw = -0.05266, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 88, w1 = 4093.521, w2 = 4007.251, dw = -0.05228, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 89, w1 = 4064.496, w2 = 3978.839, dw = -0.05191, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 90, w1 = 4035.88, w2 = 3950.828, dw = -0.05155, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 91, w1 = 4007.664, w2 = 3923.209, dw = -0.05119, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 92, w1 = 3979.84, w2 = 3895.973, dw = -0.05083, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 93, w1 = 3952.4, w2 = 3869.113, dw = -0.05048, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 94, w1 = 3925.336, w2 = 3842.621, dw = -0.05013, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 95, w1 = 3898.64, w2 = 3816.489, dw = -0.04979, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 96, w1 = 3872.305, w2 = 3790.71, dw = -0.04945, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 97, w1 = 3846.323, w2 = 3765.278, dw = -0.04912, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 98, w1 = 3820.688, w2 = 3740.184, dw = -0.04879, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 99, w1 = 3795.392, w2 = 3715.423, dw = -0.04847, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 100, w1 = 3770.429, w2 = 3690.987, dw = -0.04815, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 101, w1 = 3745.792, w2 = 3666.871, dw = -0.04783, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 102, w1 = 3721.475, w2 = 3643.068, dw = -0.04752, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 103, w1 = 3697.472, w2 = 3619.572, dw = -0.04721, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 104, w1 = 3673.777, w2 = 3596.377, dw = -0.04691, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 105, w1 = 3650.383, w2 = 3573.478, dw = -0.04661, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 106, w1 = 3627.286, w2 = 3550.868, dw = -0.04631, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 107, w1 = 3604.479, w2 = 3528.543, dw = -0.04602, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 108, w1 = 3581.957, w2 = 3506.496, dw = -0.04573, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 109, w1 = 3559.714, w2 = 3484.724, dw = -0.04545, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 110, w1 = 3537.747, w2 = 3463.22, dw = -0.04517, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 111, w1 = 3516.048, w2 = 3441.98, dw = -0.04489, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 112, w1 = 3494.615, w2 = 3420.999, dw = -0.04462, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 113, w1 = 3473.441, w2 = 3400.272, dw = -0.04434, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 114, w1 = 3452.522, w2 = 3379.795, dw = -0.04408, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 115, w1 = 3431.853, w2 = 3359.562, dw = -0.04381, nw = 1651 EchelleThAr.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0034.ec 1.' zEchelleThAr.0034.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.53, dw = -0.13827, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.55, dw = -0.13571, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.7, dw = -0.13324, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.6, dw = -0.13086, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.885, dw = -0.12857, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 6, w1 = 9879.705, w2 = 9671.229, dw = -0.12635, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 7, w1 = 9712.266, w2 = 9507.324, dw = -0.12421, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 8, w1 = 9550.408, w2 = 9348.883, dw = -0.12214, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 9, w1 = 9393.857, w2 = 9195.636, dw = -0.12013, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 10, w1 = 9242.356, w2 = 9047.333, dw = -0.1182, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 11, w1 = 9095.664, w2 = 8903.738, dw = -0.11632, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 12, w1 = 8953.557, w2 = 8764.63, dw = -0.1145, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 13, w1 = 8815.822, w2 = 8629.802, dw = -0.11274, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 14, w1 = 8682.261, w2 = 8499.06, dw = -0.11103, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 15, w1 = 8552.686, w2 = 8372.221, dw = -0.10937, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 16, w1 = 8426.923, w2 = 8249.113, dw = -0.10776, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 17, w1 = 8304.805, w2 = 8129.572, dw = -0.1062, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 18, w1 = 8186.176, w2 = 8013.448, dw = -0.10468, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 19, w1 = 8070.889, w2 = 7900.594, dw = -0.10321, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 20, w1 = 7958.804, w2 = 7790.875, dw = -0.10177, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 21, w1 = 7849.789, w2 = 7684.163, dw = -0.10038, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 22, w1 = 7743.722, w2 = 7580.334, dw = -0.09902, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 23, w1 = 7640.482, w2 = 7479.275, dw = -0.0977, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 24, w1 = 7539.96, w2 = 7380.874, dw = -0.09642, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 25, w1 = 7442.048, w2 = 7285.03, dw = -0.09516, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 26, w1 = 7346.647, w2 = 7191.644, dw = -0.09394, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 27, w1 = 7253.661, w2 = 7100.621, dw = -0.09275, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 28, w1 = 7163., w2 = 7011.874, dw = -0.09159, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 29, w1 = 7074.578, w2 = 6925.319, dw = -0.09046, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 30, w1 = 6988.312, w2 = 6840.875, dw = -0.08936, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 31, w1 = 6904.125, w2 = 6758.465, dw = -0.08828, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 32, w1 = 6821.942, w2 = 6678.018, dw = -0.08723, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 33, w1 = 6741.693, w2 = 6599.464, dw = -0.0862, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 34, w1 = 6663.31, w2 = 6522.737, dw = -0.0852, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 35, w1 = 6586.73, w2 = 6447.773, dw = -0.08422, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 36, w1 = 6511.889, w2 = 6374.513, dw = -0.08326, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 37, w1 = 6438.731, w2 = 6302.9, dw = -0.08232, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 38, w1 = 6367.198, w2 = 6232.878, dw = -0.08141, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 39, w1 = 6297.238, w2 = 6164.396, dw = -0.08051, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 40, w1 = 6228.798, w2 = 6097.402, dw = -0.07963, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 41, w1 = 6161.831, w2 = 6031.848, dw = -0.07878, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 42, w1 = 6096.288, w2 = 5967.69, dw = -0.07794, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 43, w1 = 6032.125, w2 = 5904.883, dw = -0.07712, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 44, w1 = 5969.299, w2 = 5843.384, dw = -0.07631, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 45, w1 = 5907.768, w2 = 5783.153, dw = -0.07552, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 46, w1 = 5847.493, w2 = 5724.151, dw = -0.07475, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 47, w1 = 5788.436, w2 = 5666.342, dw = -0.074, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 48, w1 = 5730.56, w2 = 5609.688, dw = -0.07326, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 49, w1 = 5673.83, w2 = 5554.157, dw = -0.07253, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 50, w1 = 5618.212, w2 = 5499.714, dw = -0.07182, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 51, w1 = 5563.674, w2 = 5446.329, dw = -0.07112, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 52, w1 = 5510.186, w2 = 5393.971, dw = -0.07043, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 53, w1 = 5457.716, w2 = 5342.609, dw = -0.06976, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 54, w1 = 5406.236, w2 = 5292.217, dw = -0.0691, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 55, w1 = 5355.718, w2 = 5242.767, dw = -0.06846, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 56, w1 = 5306.136, w2 = 5194.233, dw = -0.06782, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 57, w1 = 5257.464, w2 = 5146.589, dw = -0.0672, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 58, w1 = 5209.677, w2 = 5099.812, dw = -0.06658, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 59, w1 = 5162.751, w2 = 5053.878, dw = -0.06598, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 60, w1 = 5116.663, w2 = 5008.764, dw = -0.06539, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 61, w1 = 5071.39, w2 = 4964.448, dw = -0.06481, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 62, w1 = 5026.912, w2 = 4920.91, dw = -0.06424, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 63, w1 = 4983.208, w2 = 4878.129, dw = -0.06368, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 64, w1 = 4940.257, w2 = 4836.086, dw = -0.06313, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 65, w1 = 4898.04, w2 = 4794.762, dw = -0.06259, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 66, w1 = 4856.539, w2 = 4754.138, dw = -0.06206, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 67, w1 = 4815.736, w2 = 4714.197, dw = -0.06154, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 68, w1 = 4775.612, w2 = 4674.921, dw = -0.06102, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 69, w1 = 4736.152, w2 = 4636.295, dw = -0.06052, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 70, w1 = 4697.339, w2 = 4598.302, dw = -0.06002, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 71, w1 = 4659.157, w2 = 4560.927, dw = -0.05953, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 72, w1 = 4621.59, w2 = 4524.155, dw = -0.05905, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 73, w1 = 4584.625, w2 = 4487.971, dw = -0.05858, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 74, w1 = 4548.247, w2 = 4452.362, dw = -0.05811, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 75, w1 = 4512.442, w2 = 4417.313, dw = -0.05765, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 76, w1 = 4477.196, w2 = 4382.812, dw = -0.0572, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 77, w1 = 4442.496, w2 = 4348.846, dw = -0.05676, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 78, w1 = 4408.331, w2 = 4315.403, dw = -0.05632, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 79, w1 = 4374.687, w2 = 4282.47, dw = -0.05589, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 80, w1 = 4341.553, w2 = 4250.036, dw = -0.05546, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 81, w1 = 4308.917, w2 = 4218.09, dw = -0.05505, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 82, w1 = 4276.768, w2 = 4186.621, dw = -0.05463, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 83, w1 = 4245.096, w2 = 4155.618, dw = -0.05423, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 84, w1 = 4213.889, w2 = 4125.071, dw = -0.05383, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 85, w1 = 4183.139, w2 = 4094.969, dw = -0.05344, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 86, w1 = 4152.833, w2 = 4065.305, dw = -0.05305, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 87, w1 = 4122.964, w2 = 4036.067, dw = -0.05267, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 88, w1 = 4093.522, w2 = 4007.246, dw = -0.05229, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 89, w1 = 4064.497, w2 = 3978.835, dw = -0.05192, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 90, w1 = 4035.881, w2 = 3950.823, dw = -0.05155, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 91, w1 = 4007.665, w2 = 3923.204, dw = -0.05119, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 92, w1 = 3979.842, w2 = 3895.968, dw = -0.05083, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 93, w1 = 3952.402, w2 = 3869.107, dw = -0.05048, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 94, w1 = 3925.338, w2 = 3842.615, dw = -0.05013, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 95, w1 = 3898.642, w2 = 3816.483, dw = -0.04979, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 96, w1 = 3872.307, w2 = 3790.704, dw = -0.04946, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 97, w1 = 3846.325, w2 = 3765.271, dw = -0.04912, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 98, w1 = 3820.69, w2 = 3740.178, dw = -0.0488, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 99, w1 = 3795.395, w2 = 3715.416, dw = -0.04847, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 100, w1 = 3770.432, w2 = 3690.981, dw = -0.04815, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 101, w1 = 3745.796, w2 = 3666.864, dw = -0.04784, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 102, w1 = 3721.48, w2 = 3643.061, dw = -0.04753, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 103, w1 = 3697.477, w2 = 3619.565, dw = -0.04722, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 104, w1 = 3673.782, w2 = 3596.37, dw = -0.04692, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 105, w1 = 3650.389, w2 = 3573.471, dw = -0.04662, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 106, w1 = 3627.293, w2 = 3550.862, dw = -0.04632, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 107, w1 = 3604.486, w2 = 3528.536, dw = -0.04603, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 108, w1 = 3581.965, w2 = 3506.49, dw = -0.04574, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 109, w1 = 3559.724, w2 = 3484.718, dw = -0.04546, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 110, w1 = 3537.757, w2 = 3463.214, dw = -0.04518, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 111, w1 = 3516.06, w2 = 3441.974, dw = -0.0449, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 112, w1 = 3494.627, w2 = 3420.993, dw = -0.04463, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 113, w1 = 3473.454, w2 = 3400.267, dw = -0.04436, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 114, w1 = 3452.537, w2 = 3379.79, dw = -0.04409, nw = 1651 zEchelleThAr.0034.ec.fits: ap = 115, w1 = 3431.869, w2 = 3359.558, dw = -0.04383, nw = 1651 EchelleThAr.0038.ec.fits: REFSPEC1 = 'EchelleThAr.0038.ec 1.' zEchelleThAr.0038.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.47, dw = -0.13831, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.5, dw = -0.13575, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.66, dw = -0.13327, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.56, dw = -0.13089, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.848, dw = -0.12859, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 6, w1 = 9879.706, w2 = 9671.197, dw = -0.12637, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 7, w1 = 9712.266, w2 = 9507.296, dw = -0.12422, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 8, w1 = 9550.407, w2 = 9348.858, dw = -0.12215, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 9, w1 = 9393.855, w2 = 9195.615, dw = -0.12015, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 10, w1 = 9242.353, w2 = 9047.314, dw = -0.11821, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 11, w1 = 9095.661, w2 = 8903.721, dw = -0.11633, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 12, w1 = 8953.553, w2 = 8764.615, dw = -0.11451, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 13, w1 = 8815.817, w2 = 8629.79, dw = -0.11274, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 14, w1 = 8682.255, w2 = 8499.049, dw = -0.11103, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 15, w1 = 8552.681, w2 = 8372.211, dw = -0.10938, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 16, w1 = 8426.917, w2 = 8249.104, dw = -0.10777, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 17, w1 = 8304.798, w2 = 8129.564, dw = -0.1062, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 18, w1 = 8186.169, w2 = 8013.44, dw = -0.10468, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 19, w1 = 8070.881, w2 = 7900.587, dw = -0.10321, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 20, w1 = 7958.796, w2 = 7790.869, dw = -0.10177, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 21, w1 = 7849.782, w2 = 7684.156, dw = -0.10038, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 22, w1 = 7743.714, w2 = 7580.328, dw = -0.09902, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 23, w1 = 7640.474, w2 = 7479.268, dw = -0.0977, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 24, w1 = 7539.951, w2 = 7380.868, dw = -0.09641, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 25, w1 = 7442.04, w2 = 7285.024, dw = -0.09516, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 26, w1 = 7346.639, w2 = 7191.637, dw = -0.09394, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 27, w1 = 7253.653, w2 = 7100.615, dw = -0.09275, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 28, w1 = 7162.992, w2 = 7011.868, dw = -0.09159, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 29, w1 = 7074.569, w2 = 6925.312, dw = -0.09046, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 30, w1 = 6988.303, w2 = 6840.867, dw = -0.08936, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 31, w1 = 6904.116, w2 = 6758.458, dw = -0.08828, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 32, w1 = 6821.934, w2 = 6678.01, dw = -0.08723, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 33, w1 = 6741.685, w2 = 6599.456, dw = -0.0862, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 34, w1 = 6663.302, w2 = 6522.728, dw = -0.0852, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 35, w1 = 6586.722, w2 = 6447.765, dw = -0.08422, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 36, w1 = 6511.882, w2 = 6374.505, dw = -0.08326, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 37, w1 = 6438.723, w2 = 6302.891, dw = -0.08232, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 38, w1 = 6367.191, w2 = 6232.869, dw = -0.08141, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 39, w1 = 6297.231, w2 = 6164.387, dw = -0.08051, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 40, w1 = 6228.791, w2 = 6097.393, dw = -0.07964, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 41, w1 = 6161.824, w2 = 6031.839, dw = -0.07878, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 42, w1 = 6096.281, w2 = 5967.681, dw = -0.07794, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 43, w1 = 6032.118, w2 = 5904.873, dw = -0.07712, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 44, w1 = 5969.293, w2 = 5843.375, dw = -0.07631, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 45, w1 = 5907.762, w2 = 5783.144, dw = -0.07553, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 46, w1 = 5847.487, w2 = 5724.142, dw = -0.07475, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 47, w1 = 5788.43, w2 = 5666.333, dw = -0.074, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 48, w1 = 5730.554, w2 = 5609.68, dw = -0.07326, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 49, w1 = 5673.824, w2 = 5554.149, dw = -0.07253, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 50, w1 = 5618.207, w2 = 5499.706, dw = -0.07182, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 51, w1 = 5563.67, w2 = 5446.321, dw = -0.07112, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 52, w1 = 5510.181, w2 = 5393.963, dw = -0.07044, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 53, w1 = 5457.711, w2 = 5342.602, dw = -0.06976, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 54, w1 = 5406.232, w2 = 5292.211, dw = -0.0691, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 55, w1 = 5355.714, w2 = 5242.761, dw = -0.06846, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 56, w1 = 5306.132, w2 = 5194.227, dw = -0.06782, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 57, w1 = 5257.46, w2 = 5146.584, dw = -0.0672, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 58, w1 = 5209.673, w2 = 5099.807, dw = -0.06659, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 59, w1 = 5162.747, w2 = 5053.873, dw = -0.06598, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 60, w1 = 5116.659, w2 = 5008.759, dw = -0.06539, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 61, w1 = 5071.387, w2 = 4964.444, dw = -0.06481, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 62, w1 = 5026.909, w2 = 4920.907, dw = -0.06424, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 63, w1 = 4983.204, w2 = 4878.126, dw = -0.06368, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 64, w1 = 4940.253, w2 = 4836.083, dw = -0.06313, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 65, w1 = 4898.037, w2 = 4794.759, dw = -0.06259, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 66, w1 = 4856.535, w2 = 4754.136, dw = -0.06206, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 67, w1 = 4815.732, w2 = 4714.195, dw = -0.06154, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 68, w1 = 4775.608, w2 = 4674.92, dw = -0.06102, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 69, w1 = 4736.148, w2 = 4636.294, dw = -0.06052, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 70, w1 = 4697.334, w2 = 4598.302, dw = -0.06002, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 71, w1 = 4659.152, w2 = 4560.927, dw = -0.05953, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 72, w1 = 4621.586, w2 = 4524.155, dw = -0.05905, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 73, w1 = 4584.62, w2 = 4487.971, dw = -0.05858, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 74, w1 = 4548.241, w2 = 4452.362, dw = -0.05811, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 75, w1 = 4512.436, w2 = 4417.313, dw = -0.05765, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 76, w1 = 4477.189, w2 = 4382.812, dw = -0.0572, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 77, w1 = 4442.489, w2 = 4348.846, dw = -0.05675, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 78, w1 = 4408.323, w2 = 4315.403, dw = -0.05632, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 79, w1 = 4374.679, w2 = 4282.469, dw = -0.05588, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 80, w1 = 4341.544, w2 = 4250.035, dw = -0.05546, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 81, w1 = 4308.908, w2 = 4218.089, dw = -0.05504, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 82, w1 = 4276.758, w2 = 4186.619, dw = -0.05463, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 83, w1 = 4245.085, w2 = 4155.615, dw = -0.05422, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 84, w1 = 4213.878, w2 = 4125.068, dw = -0.05382, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 85, w1 = 4183.126, w2 = 4094.966, dw = -0.05343, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 86, w1 = 4152.82, w2 = 4065.3, dw = -0.05304, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 87, w1 = 4122.95, w2 = 4036.061, dw = -0.05266, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 88, w1 = 4093.506, w2 = 4007.239, dw = -0.05228, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 89, w1 = 4064.481, w2 = 3978.826, dw = -0.05191, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 90, w1 = 4035.864, w2 = 3950.813, dw = -0.05155, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 91, w1 = 4007.647, w2 = 3923.192, dw = -0.05118, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 92, w1 = 3979.822, w2 = 3895.954, dw = -0.05083, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 93, w1 = 3952.38, w2 = 3869.092, dw = -0.05048, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 94, w1 = 3925.315, w2 = 3842.598, dw = -0.05013, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 95, w1 = 3898.618, w2 = 3816.463, dw = -0.04979, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 96, w1 = 3872.281, w2 = 3790.682, dw = -0.04945, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 97, w1 = 3846.298, w2 = 3765.246, dw = -0.04912, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.15, dw = -0.0488, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 99, w1 = 3795.364, w2 = 3715.385, dw = -0.04847, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 100, w1 = 3770.4, w2 = 3690.946, dw = -0.04815, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 101, w1 = 3745.762, w2 = 3666.827, dw = -0.04784, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 102, w1 = 3721.444, w2 = 3643.02, dw = -0.04753, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 103, w1 = 3697.439, w2 = 3619.52, dw = -0.04722, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 104, w1 = 3673.742, w2 = 3596.321, dw = -0.04692, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 105, w1 = 3650.347, w2 = 3573.417, dw = -0.04662, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 106, w1 = 3627.248, w2 = 3550.803, dw = -0.04633, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 107, w1 = 3604.44, w2 = 3528.473, dw = -0.04604, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 108, w1 = 3581.916, w2 = 3506.421, dw = -0.04575, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 109, w1 = 3559.672, w2 = 3484.644, dw = -0.04547, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 110, w1 = 3537.703, w2 = 3463.134, dw = -0.04519, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 111, w1 = 3516.003, w2 = 3441.888, dw = -0.04492, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 112, w1 = 3494.568, w2 = 3420.901, dw = -0.04465, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 113, w1 = 3473.392, w2 = 3400.168, dw = -0.04438, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 114, w1 = 3452.472, w2 = 3379.684, dw = -0.04411, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 115, w1 = 3431.802, w2 = 3359.445, dw = -0.04385, nw = 1651 EchelleThAr.0041.ec.fits: REFSPEC1 = 'EchelleThAr.0041.ec 1.' zEchelleThAr.0041.ec.fits: ap = 1, w1 = 10811.58, w2 = 10583.47, dw = -0.13825, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 2, w1 = 10611.39, w2 = 10387.5, dw = -0.13569, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 3, w1 = 10418.48, w2 = 10198.66, dw = -0.13323, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 4, w1 = 10232.46, w2 = 10016.56, dw = -0.13085, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 5, w1 = 10052.97, w2 = 9840.848, dw = -0.12856, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 6, w1 = 9879.659, w2 = 9671.196, dw = -0.12634, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 7, w1 = 9712.226, w2 = 9507.295, dw = -0.1242, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 8, w1 = 9550.374, w2 = 9348.858, dw = -0.12213, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 9, w1 = 9393.828, w2 = 9195.614, dw = -0.12013, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 10, w1 = 9242.332, w2 = 9047.314, dw = -0.11819, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 11, w1 = 9095.644, w2 = 8903.722, dw = -0.11632, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 12, w1 = 8953.54, w2 = 8764.616, dw = -0.1145, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 13, w1 = 8815.809, w2 = 8629.791, dw = -0.11274, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.051, dw = -0.11103, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 15, w1 = 8552.678, w2 = 8372.214, dw = -0.10937, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 16, w1 = 8426.917, w2 = 8249.107, dw = -0.10776, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 17, w1 = 8304.8, w2 = 8129.568, dw = -0.1062, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 18, w1 = 8186.173, w2 = 8013.444, dw = -0.10468, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 19, w1 = 8070.886, w2 = 7900.592, dw = -0.10321, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 20, w1 = 7958.802, w2 = 7790.874, dw = -0.10177, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 21, w1 = 7849.789, w2 = 7684.162, dw = -0.10038, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 22, w1 = 7743.722, w2 = 7580.334, dw = -0.09902, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 23, w1 = 7640.483, w2 = 7479.275, dw = -0.0977, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 24, w1 = 7539.96, w2 = 7380.875, dw = -0.09642, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 25, w1 = 7442.049, w2 = 7285.031, dw = -0.09516, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 26, w1 = 7346.648, w2 = 7191.644, dw = -0.09394, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 27, w1 = 7253.662, w2 = 7100.622, dw = -0.09275, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 28, w1 = 7163.001, w2 = 7011.875, dw = -0.09159, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 29, w1 = 7074.578, w2 = 6925.32, dw = -0.09046, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 30, w1 = 6988.312, w2 = 6840.876, dw = -0.08936, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 31, w1 = 6904.124, w2 = 6758.466, dw = -0.08828, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 32, w1 = 6821.941, w2 = 6678.019, dw = -0.08723, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 33, w1 = 6741.692, w2 = 6599.464, dw = -0.0862, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 34, w1 = 6663.308, w2 = 6522.737, dw = -0.0852, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 35, w1 = 6586.727, w2 = 6447.773, dw = -0.08421, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 36, w1 = 6511.886, w2 = 6374.513, dw = -0.08326, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 37, w1 = 6438.727, w2 = 6302.899, dw = -0.08232, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 38, w1 = 6367.194, w2 = 6232.877, dw = -0.0814, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 39, w1 = 6297.233, w2 = 6164.394, dw = -0.08051, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 40, w1 = 6228.793, w2 = 6097.4, dw = -0.07963, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 41, w1 = 6161.825, w2 = 6031.846, dw = -0.07878, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 42, w1 = 6096.282, w2 = 5967.688, dw = -0.07794, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 43, w1 = 6032.119, w2 = 5904.88, dw = -0.07711, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 44, w1 = 5969.292, w2 = 5843.38, dw = -0.07631, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 45, w1 = 5907.761, w2 = 5783.149, dw = -0.07552, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 46, w1 = 5847.486, w2 = 5724.147, dw = -0.07475, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 47, w1 = 5788.428, w2 = 5666.337, dw = -0.07399, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 48, w1 = 5730.552, w2 = 5609.684, dw = -0.07325, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 49, w1 = 5673.821, w2 = 5554.152, dw = -0.07253, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 50, w1 = 5618.204, w2 = 5499.709, dw = -0.07181, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 51, w1 = 5563.666, w2 = 5446.324, dw = -0.07112, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 52, w1 = 5510.177, w2 = 5393.965, dw = -0.07043, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 53, w1 = 5457.707, w2 = 5342.603, dw = -0.06976, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 54, w1 = 5406.227, w2 = 5292.211, dw = -0.0691, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 55, w1 = 5355.71, w2 = 5242.761, dw = -0.06845, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 56, w1 = 5306.128, w2 = 5194.226, dw = -0.06782, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 57, w1 = 5257.455, w2 = 5146.583, dw = -0.0672, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 58, w1 = 5209.668, w2 = 5099.805, dw = -0.06658, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 59, w1 = 5162.742, w2 = 5053.871, dw = -0.06598, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 60, w1 = 5116.654, w2 = 5008.757, dw = -0.06539, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 61, w1 = 5071.382, w2 = 4964.441, dw = -0.06481, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 62, w1 = 5026.904, w2 = 4920.903, dw = -0.06424, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 63, w1 = 4983.2, w2 = 4878.122, dw = -0.06368, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 64, w1 = 4940.249, w2 = 4836.079, dw = -0.06313, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 65, w1 = 4898.032, w2 = 4794.755, dw = -0.06259, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 66, w1 = 4856.531, w2 = 4754.131, dw = -0.06206, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 67, w1 = 4815.728, w2 = 4714.19, dw = -0.06154, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 68, w1 = 4775.605, w2 = 4674.915, dw = -0.06102, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 69, w1 = 4736.145, w2 = 4636.289, dw = -0.06052, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 70, w1 = 4697.332, w2 = 4598.296, dw = -0.06002, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 71, w1 = 4659.15, w2 = 4560.921, dw = -0.05953, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 72, w1 = 4621.583, w2 = 4524.149, dw = -0.05905, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 73, w1 = 4584.618, w2 = 4487.966, dw = -0.05858, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 74, w1 = 4548.24, w2 = 4452.357, dw = -0.05811, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 75, w1 = 4512.435, w2 = 4417.308, dw = -0.05765, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 76, w1 = 4477.189, w2 = 4382.808, dw = -0.0572, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 77, w1 = 4442.489, w2 = 4348.842, dw = -0.05676, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 78, w1 = 4408.324, w2 = 4315.399, dw = -0.05632, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 79, w1 = 4374.68, w2 = 4282.467, dw = -0.05589, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 80, w1 = 4341.545, w2 = 4250.033, dw = -0.05546, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 81, w1 = 4308.909, w2 = 4218.088, dw = -0.05504, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 82, w1 = 4276.76, w2 = 4186.619, dw = -0.05463, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 83, w1 = 4245.087, w2 = 4155.617, dw = -0.05422, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 84, w1 = 4213.88, w2 = 4125.07, dw = -0.05382, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 85, w1 = 4183.129, w2 = 4094.969, dw = -0.05343, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 86, w1 = 4152.823, w2 = 4065.305, dw = -0.05304, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 87, w1 = 4122.953, w2 = 4036.068, dw = -0.05266, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 88, w1 = 4093.51, w2 = 4007.248, dw = -0.05228, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 89, w1 = 4064.484, w2 = 3978.837, dw = -0.05191, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 90, w1 = 4035.867, w2 = 3950.826, dw = -0.05154, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 91, w1 = 4007.65, w2 = 3923.207, dw = -0.05118, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 92, w1 = 3979.825, w2 = 3895.972, dw = -0.05082, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 93, w1 = 3952.384, w2 = 3869.112, dw = -0.05047, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 94, w1 = 3925.318, w2 = 3842.621, dw = -0.05012, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 95, w1 = 3898.621, w2 = 3816.489, dw = -0.04978, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 96, w1 = 3872.284, w2 = 3790.711, dw = -0.04944, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 97, w1 = 3846.3, w2 = 3765.279, dw = -0.0491, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 98, w1 = 3820.663, w2 = 3740.186, dw = -0.04877, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 99, w1 = 3795.365, w2 = 3715.425, dw = -0.04845, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 100, w1 = 3770.4, w2 = 3690.99, dw = -0.04813, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 101, w1 = 3745.761, w2 = 3666.875, dw = -0.04781, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 102, w1 = 3721.442, w2 = 3643.072, dw = -0.0475, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 103, w1 = 3697.436, w2 = 3619.577, dw = -0.04719, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 104, w1 = 3673.738, w2 = 3596.383, dw = -0.04688, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 105, w1 = 3650.342, w2 = 3573.484, dw = -0.04658, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 106, w1 = 3627.242, w2 = 3550.876, dw = -0.04628, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 107, w1 = 3604.432, w2 = 3528.551, dw = -0.04599, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 108, w1 = 3581.906, w2 = 3506.505, dw = -0.0457, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 109, w1 = 3559.661, w2 = 3484.734, dw = -0.04541, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 110, w1 = 3537.689, w2 = 3463.231, dw = -0.04513, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 111, w1 = 3515.987, w2 = 3441.991, dw = -0.04485, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 112, w1 = 3494.55, w2 = 3421.011, dw = -0.04457, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 113, w1 = 3473.372, w2 = 3400.285, dw = -0.04429, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 114, w1 = 3452.448, w2 = 3379.809, dw = -0.04402, nw = 1651 zEchelleThAr.0041.ec.fits: ap = 115, w1 = 3431.775, w2 = 3359.577, dw = -0.04376, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Dec 9 15:41: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0021.ec.fits[ 1] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 2] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 3] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 4] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 5] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 6] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 7] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 8] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 9] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 10] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 11] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 12] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 13] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 14] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 15] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 16] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 17] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 18] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 19] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 20] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 21] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 22] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 23] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 24] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 25] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 26] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 27] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 28] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 29] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 30] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 31] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 32] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 33] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 34] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 35] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 36] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 37] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 38] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 39] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 40] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 41] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 42] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 43] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 44] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 45] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 46] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 47] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 48] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 49] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 50] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 51] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 52] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 53] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 54] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 55] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 56] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 57] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 58] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 59] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 60] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 61] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 62] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 63] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 64] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 65] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 66] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 67] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 68] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 69] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 70] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 71] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 72] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 73] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 74] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 75] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 76] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 77] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 78] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 79] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 80] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 81] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 82] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 83] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 84] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 85] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 86] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 87] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 88] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 89] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 90] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 91] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 92] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 93] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 94] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 95] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 96] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 97] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 98] 600.0 1.000 0. 0.009 131005.0021.ec.fits[ 99] 600.0 1.000 0. 0.009 131005.0021.ec.fits[100] 600.0 1.000 0. 0.009 131005.0021.ec.fits[101] 600.0 1.000 0. 0.009 131005.0021.ec.fits[102] 600.0 1.000 0. 0.009 131005.0021.ec.fits[103] 600.0 1.000 0. 0.009 131005.0021.ec.fits[104] 600.0 1.000 0. 0.009 131005.0021.ec.fits[105] 600.0 1.000 0. 0.009 131005.0021.ec.fits[106] 600.0 1.000 0. 0.009 131005.0021.ec.fits[107] 600.0 1.000 0. 0.009 131005.0021.ec.fits[108] 600.0 1.000 0. 0.009 131005.0021.ec.fits[109] 600.0 1.000 0. 0.009 131005.0021.ec.fits[110] 600.0 1.000 0. 0.009 131005.0021.ec.fits[111] 600.0 1.000 0. 0.009 131005.0021.ec.fits[112] 600.0 1.000 0. 0.009 131005.0021.ec.fits[113] 600.0 1.000 0. 0.009 131005.0021.ec.fits[114] 600.0 1.000 0. 0.009 131005.0021.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum131005.0021.ec.fits, ncombine = 115, exptime = 69000.09 w1 = 3359.601, w2 = 10811.75, dw = 0.04383514, nw = 170005., dtype = 0 Dec 9 15:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0022.ec.fits[ 1] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 2] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 3] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 4] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 5] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 6] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 7] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 8] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 9] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 10] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 11] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 12] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 13] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 14] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 15] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 16] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 17] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 18] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 19] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 20] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 21] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 22] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 23] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 24] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 25] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 26] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 27] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 28] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 29] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 30] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 31] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 32] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 33] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 34] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 35] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 36] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 37] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 38] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 39] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 40] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 41] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 42] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 43] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 44] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 45] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 46] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 47] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 48] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 49] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 50] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 51] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 52] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 53] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 54] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 55] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 56] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 57] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 58] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 59] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 60] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 61] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 62] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 63] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 64] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 65] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 66] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 67] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 68] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 69] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 70] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 71] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 72] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 73] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 74] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 75] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 76] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 77] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 78] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 79] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 80] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 81] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 82] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 83] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 84] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 85] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 86] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 87] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 88] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 89] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 90] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 91] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 92] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 93] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 94] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 95] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 96] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 97] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 98] 900.0 1.000 0. 0.009 131005.0022.ec.fits[ 99] 900.0 1.000 0. 0.009 131005.0022.ec.fits[100] 900.0 1.000 0. 0.009 131005.0022.ec.fits[101] 900.0 1.000 0. 0.009 131005.0022.ec.fits[102] 900.0 1.000 0. 0.009 131005.0022.ec.fits[103] 900.0 1.000 0. 0.009 131005.0022.ec.fits[104] 900.0 1.000 0. 0.009 131005.0022.ec.fits[105] 900.0 1.000 0. 0.009 131005.0022.ec.fits[106] 900.0 1.000 0. 0.009 131005.0022.ec.fits[107] 900.0 1.000 0. 0.009 131005.0022.ec.fits[108] 900.0 1.000 0. 0.009 131005.0022.ec.fits[109] 900.0 1.000 0. 0.009 131005.0022.ec.fits[110] 900.0 1.000 0. 0.009 131005.0022.ec.fits[111] 900.0 1.000 0. 0.009 131005.0022.ec.fits[112] 900.0 1.000 0. 0.009 131005.0022.ec.fits[113] 900.0 1.000 0. 0.009 131005.0022.ec.fits[114] 900.0 1.000 0. 0.009 131005.0022.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum131005.0022.ec.fits, ncombine = 115, exptime = 103500.1 w1 = 3359.607, w2 = 10811.75, dw = 0.04383332, nw = 170012., dtype = 0 Dec 9 15:43: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 131005.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 131005.0023.ec.fits[100] 900.0 1.000 0. 0.009 131005.0023.ec.fits[101] 900.0 1.000 0. 0.009 131005.0023.ec.fits[102] 900.0 1.000 0. 0.009 131005.0023.ec.fits[103] 900.0 1.000 0. 0.009 131005.0023.ec.fits[104] 900.0 1.000 0. 0.009 131005.0023.ec.fits[105] 900.0 1.000 0. 0.009 131005.0023.ec.fits[106] 900.0 1.000 0. 0.009 131005.0023.ec.fits[107] 900.0 1.000 0. 0.009 131005.0023.ec.fits[108] 900.0 1.000 0. 0.009 131005.0023.ec.fits[109] 900.0 1.000 0. 0.009 131005.0023.ec.fits[110] 900.0 1.000 0. 0.009 131005.0023.ec.fits[111] 900.0 1.000 0. 0.009 131005.0023.ec.fits[112] 900.0 1.000 0. 0.009 131005.0023.ec.fits[113] 900.0 1.000 0. 0.009 131005.0023.ec.fits[114] 900.0 1.000 0. 0.009 131005.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum131005.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.615, w2 = 10811.75, dw = 0.04383096, nw = 170021., dtype = 0 Dec 9 15:45: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 131005.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 131005.0025.ec.fits[100] 900.0 1.000 0. 0.009 131005.0025.ec.fits[101] 900.0 1.000 0. 0.009 131005.0025.ec.fits[102] 900.0 1.000 0. 0.009 131005.0025.ec.fits[103] 900.0 1.000 0. 0.009 131005.0025.ec.fits[104] 900.0 1.000 0. 0.009 131005.0025.ec.fits[105] 900.0 1.000 0. 0.009 131005.0025.ec.fits[106] 900.0 1.000 0. 0.009 131005.0025.ec.fits[107] 900.0 1.000 0. 0.009 131005.0025.ec.fits[108] 900.0 1.000 0. 0.009 131005.0025.ec.fits[109] 900.0 1.000 0. 0.009 131005.0025.ec.fits[110] 900.0 1.000 0. 0.009 131005.0025.ec.fits[111] 900.0 1.000 0. 0.009 131005.0025.ec.fits[112] 900.0 1.000 0. 0.009 131005.0025.ec.fits[113] 900.0 1.000 0. 0.009 131005.0025.ec.fits[114] 900.0 1.000 0. 0.009 131005.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum131005.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.622, w2 = 10811.74, dw = 0.0438084, nw = 170108., dtype = 0 Dec 9 15:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[100] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[101] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[102] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[103] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[104] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[105] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[106] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[107] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[108] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[109] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[110] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[111] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[112] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[113] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[114] 1200.0 1.000 0. 0.009 131005.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum131005.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.626, w2 = 10811.7, dw = 0.04376881, nw = 170261., dtype = 0 Dec 9 15:47: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0028.ec.fits[ 1] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 2] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 3] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 4] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 5] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 6] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 7] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 8] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 9] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 10] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 11] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 12] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 13] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 14] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 15] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 16] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 17] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 18] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 19] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 20] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 21] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 22] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 23] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 24] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 25] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 26] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 27] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 28] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 29] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 30] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 31] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 32] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 33] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 34] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 35] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 36] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 37] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 38] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 39] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 40] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 41] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 42] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 43] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 44] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 45] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 46] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 47] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 48] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 49] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 50] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 51] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 52] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 53] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 54] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 55] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 56] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 57] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 58] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 59] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 60] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 61] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 62] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 63] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 64] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 65] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 66] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 67] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 68] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 69] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 70] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 71] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 72] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 73] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 74] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 75] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 76] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 77] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 78] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 79] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 80] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 81] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 82] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 83] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 84] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 85] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 86] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 87] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 88] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 89] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 90] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 91] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 92] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 93] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 94] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 95] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 96] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 97] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 98] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[ 99] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[100] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[101] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[102] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[103] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[104] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[105] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[106] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[107] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[108] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[109] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[110] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[111] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[112] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[113] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[114] 1200.0 1.000 0. 0.009 131005.0028.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum131005.0028.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.617, w2 = 10811.68, dw = 0.04377002, nw = 170256., dtype = 0 Dec 9 15:48: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 19] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 20] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 21] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 22] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 23] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 24] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 25] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 26] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 27] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 28] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 29] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 30] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 31] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 32] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 33] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 34] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 35] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 36] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 37] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 38] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 39] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 40] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 41] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 42] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 43] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 44] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 45] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 46] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 47] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 48] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 49] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 50] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 51] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 52] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 53] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 54] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 55] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 56] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 57] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 58] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 59] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 60] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 61] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 62] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 63] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 64] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 65] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 66] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 67] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 68] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 69] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 70] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 71] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 72] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 73] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 74] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 75] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 76] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 77] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 78] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 79] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 80] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 81] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 82] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 83] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 84] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 85] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 86] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 87] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 88] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 89] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 90] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 91] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 92] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 93] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 94] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 95] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 96] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 97] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 98] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[ 99] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[100] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[101] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[102] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[103] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[104] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[105] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[106] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[107] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[108] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[109] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[110] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[111] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[112] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[113] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[114] 1500.0 1.000 0. 0.009 131005.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum131005.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.593, w2 = 10811.68, dw = 0.04382188, nw = 170055., dtype = 0 Dec 9 15:50: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0031.ec.fits[ 1] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 2] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 3] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 4] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 5] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 6] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 7] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 8] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 9] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 10] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 11] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 12] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 13] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 14] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 15] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 16] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 17] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 18] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 19] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 20] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 21] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 22] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 23] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 24] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 25] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 26] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 27] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 28] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 29] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 30] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 31] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 32] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 33] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 34] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 35] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 36] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 37] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 38] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 39] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 40] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 41] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 42] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 43] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 44] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 45] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 46] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 47] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 48] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 49] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 50] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 51] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 52] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 53] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 54] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 55] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 56] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 57] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 58] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 59] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 60] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 61] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 62] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 63] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 64] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 65] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 66] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 67] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 68] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 69] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 70] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 71] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 72] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 73] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 74] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 75] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 76] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 77] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 78] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 79] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 80] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 81] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 82] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 83] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 84] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 85] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 86] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 87] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 88] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 89] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 90] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 91] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 92] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 93] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 94] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 95] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 96] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 97] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 98] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[ 99] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[100] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[101] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[102] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[103] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[104] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[105] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[106] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[107] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[108] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[109] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[110] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[111] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[112] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[113] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[114] 1800.0 1.000 0. 0.009 131005.0031.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum131005.0031.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.571, w2 = 10811.66, dw = 0.04383275, nw = 170013., dtype = 0 Dec 9 15:51: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0033.ec.fits[ 1] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 2] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 3] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 4] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 5] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 6] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 7] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 8] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 9] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 10] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 11] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 12] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 13] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 14] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 15] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 16] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 17] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 18] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 19] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 20] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 21] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 22] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 23] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 24] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 25] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 26] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 27] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 28] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 29] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 30] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 31] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 32] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 33] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 34] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 35] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 36] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 37] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 38] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 39] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 40] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 41] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 42] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 43] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 44] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 45] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 46] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 47] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 48] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 49] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 50] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 51] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 52] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 53] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 54] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 55] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 56] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 57] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 58] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 59] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 60] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 61] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 62] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 63] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 64] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 65] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 66] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 67] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 68] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 69] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 70] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 71] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 72] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 73] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 74] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 75] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 76] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 77] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 78] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 79] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 80] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 81] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 82] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 83] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 84] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 85] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 86] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 87] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 88] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 89] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 90] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 91] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 92] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 93] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 94] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 95] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 96] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 97] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 98] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[ 99] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[100] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[101] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[102] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[103] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[104] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[105] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[106] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[107] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[108] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[109] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[110] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[111] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[112] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[113] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[114] 2100.0 1.000 0. 0.009 131005.0033.ec.fits[115] 2100.0 1.000 0. 0.009 Output image = sum131005.0033.ec.fits, ncombine = 115, exptime = 241500. w1 = 3359.56, w2 = 10811.66, dw = 0.04381889, nw = 170067., dtype = 0 Dec 9 15:52: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0035.ec.fits[ 1] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 2] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 3] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 4] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 5] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 6] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 7] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 8] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 9] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 10] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 11] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 12] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 13] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 14] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 15] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 16] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 17] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 18] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 19] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 20] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 21] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 22] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 23] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 24] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 25] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 26] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 27] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 28] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 29] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 30] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 31] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 32] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 33] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 34] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 35] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 36] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 37] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 38] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 39] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 40] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 41] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 42] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 43] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 44] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 45] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 46] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 47] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 48] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 49] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 50] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 51] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 52] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 53] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 54] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 55] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 56] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 57] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 58] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 59] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 60] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 61] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 62] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 63] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 64] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 65] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 66] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 67] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 68] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 69] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 70] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 71] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 72] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 73] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 74] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 75] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 76] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 77] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 78] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 79] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 80] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 81] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 82] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 83] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 84] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 85] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 86] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 87] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 88] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 89] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 90] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 91] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 92] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 93] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 94] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 95] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 96] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 97] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 98] 900.0 1.000 0. 0.009 131005.0035.ec.fits[ 99] 900.0 1.000 0. 0.009 131005.0035.ec.fits[100] 900.0 1.000 0. 0.009 131005.0035.ec.fits[101] 900.0 1.000 0. 0.009 131005.0035.ec.fits[102] 900.0 1.000 0. 0.009 131005.0035.ec.fits[103] 900.0 1.000 0. 0.009 131005.0035.ec.fits[104] 900.0 1.000 0. 0.009 131005.0035.ec.fits[105] 900.0 1.000 0. 0.009 131005.0035.ec.fits[106] 900.0 1.000 0. 0.009 131005.0035.ec.fits[107] 900.0 1.000 0. 0.009 131005.0035.ec.fits[108] 900.0 1.000 0. 0.009 131005.0035.ec.fits[109] 900.0 1.000 0. 0.009 131005.0035.ec.fits[110] 900.0 1.000 0. 0.009 131005.0035.ec.fits[111] 900.0 1.000 0. 0.009 131005.0035.ec.fits[112] 900.0 1.000 0. 0.009 131005.0035.ec.fits[113] 900.0 1.000 0. 0.009 131005.0035.ec.fits[114] 900.0 1.000 0. 0.009 131005.0035.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum131005.0035.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.533, w2 = 10811.68, dw = 0.04383125, nw = 170020., dtype = 0 Dec 9 15:53: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0036.ec.fits[ 1] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 2] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 3] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 4] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 5] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 6] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 7] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 8] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 9] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 10] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 11] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 12] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 13] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 14] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 15] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 16] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 17] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 18] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 19] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 20] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 21] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 22] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 23] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 24] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 25] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 26] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 27] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 28] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 29] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 30] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 31] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 32] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 33] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 34] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 35] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 36] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 37] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 38] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 39] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 40] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 41] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 42] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 43] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 44] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 45] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 46] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 47] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 48] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 49] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 50] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 51] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 52] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 53] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 54] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 55] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 56] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 57] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 58] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 59] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 60] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 61] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 62] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 63] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 64] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 65] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 66] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 67] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 68] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 69] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 70] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 71] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 72] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 73] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 74] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 75] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 76] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 77] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 78] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 79] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 80] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 81] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 82] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 83] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 84] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 85] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 86] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 87] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 88] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 89] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 90] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 91] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 92] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 93] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 94] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 95] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 96] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 97] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 98] 900.0 1.000 0. 0.009 131005.0036.ec.fits[ 99] 900.0 1.000 0. 0.009 131005.0036.ec.fits[100] 900.0 1.000 0. 0.009 131005.0036.ec.fits[101] 900.0 1.000 0. 0.009 131005.0036.ec.fits[102] 900.0 1.000 0. 0.009 131005.0036.ec.fits[103] 900.0 1.000 0. 0.009 131005.0036.ec.fits[104] 900.0 1.000 0. 0.009 131005.0036.ec.fits[105] 900.0 1.000 0. 0.009 131005.0036.ec.fits[106] 900.0 1.000 0. 0.009 131005.0036.ec.fits[107] 900.0 1.000 0. 0.009 131005.0036.ec.fits[108] 900.0 1.000 0. 0.009 131005.0036.ec.fits[109] 900.0 1.000 0. 0.009 131005.0036.ec.fits[110] 900.0 1.000 0. 0.009 131005.0036.ec.fits[111] 900.0 1.000 0. 0.009 131005.0036.ec.fits[112] 900.0 1.000 0. 0.009 131005.0036.ec.fits[113] 900.0 1.000 0. 0.009 131005.0036.ec.fits[114] 900.0 1.000 0. 0.009 131005.0036.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum131005.0036.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.495, w2 = 10811.68, dw = 0.04384051, nw = 169985., dtype = 0 Dec 9 15:54: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0037.ec.fits[ 1] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 2] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 3] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 4] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 5] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 6] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 7] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 8] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 9] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 10] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 11] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 12] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 13] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 14] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 15] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 16] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 17] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 18] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 19] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 20] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 21] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 22] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 23] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 24] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 25] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 26] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 27] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 28] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 29] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 30] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 31] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 32] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 33] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 34] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 35] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 36] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 37] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 38] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 39] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 40] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 41] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 42] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 43] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 44] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 45] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 46] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 47] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 48] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 49] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 50] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 51] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 52] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 53] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 54] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 55] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 56] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 57] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 58] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 59] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 60] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 61] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 62] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 63] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 64] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 65] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 66] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 67] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 68] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 69] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 70] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 71] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 72] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 73] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 74] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 75] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 76] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 77] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 78] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 79] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 80] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 81] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 82] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 83] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 84] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 85] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 86] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 87] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 88] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 89] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 90] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 91] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 92] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 93] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 94] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 95] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 96] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 97] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 98] 600.0 1.000 0. 0.009 131005.0037.ec.fits[ 99] 600.0 1.000 0. 0.009 131005.0037.ec.fits[100] 600.0 1.000 0. 0.009 131005.0037.ec.fits[101] 600.0 1.000 0. 0.009 131005.0037.ec.fits[102] 600.0 1.000 0. 0.009 131005.0037.ec.fits[103] 600.0 1.000 0. 0.009 131005.0037.ec.fits[104] 600.0 1.000 0. 0.009 131005.0037.ec.fits[105] 600.0 1.000 0. 0.009 131005.0037.ec.fits[106] 600.0 1.000 0. 0.009 131005.0037.ec.fits[107] 600.0 1.000 0. 0.009 131005.0037.ec.fits[108] 600.0 1.000 0. 0.009 131005.0037.ec.fits[109] 600.0 1.000 0. 0.009 131005.0037.ec.fits[110] 600.0 1.000 0. 0.009 131005.0037.ec.fits[111] 600.0 1.000 0. 0.009 131005.0037.ec.fits[112] 600.0 1.000 0. 0.009 131005.0037.ec.fits[113] 600.0 1.000 0. 0.009 131005.0037.ec.fits[114] 600.0 1.000 0. 0.009 131005.0037.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum131005.0037.ec.fits, ncombine = 115, exptime = 69000.09 w1 = 3359.462, w2 = 10811.68, dw = 0.04384845, nw = 169955., dtype = 0 Dec 9 15:54: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0039.ec.fits[ 1] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 2] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 3] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 4] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 5] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 6] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 7] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 8] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 9] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 10] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 11] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 12] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 13] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 14] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 15] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 16] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 17] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 18] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 19] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 20] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 21] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 22] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 23] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 24] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 25] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 26] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 27] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 28] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 29] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 30] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 31] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 32] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 33] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 34] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 35] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 36] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 37] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 38] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 39] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 40] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 41] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 42] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 43] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 44] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 45] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 46] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 47] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 48] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 49] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 50] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 51] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 52] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 53] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 54] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 55] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 56] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 57] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 58] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 59] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 60] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 61] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 62] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 63] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 64] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 65] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 66] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 67] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 68] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 69] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 70] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 71] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 72] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 73] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 74] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 75] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 76] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 77] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 78] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 79] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 80] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 81] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 82] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 83] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 84] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 85] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 86] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 87] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 88] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 89] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 90] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 91] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 92] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 93] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 94] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 95] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 96] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 97] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 98] 900.0 1.000 0. 0.009 131005.0039.ec.fits[ 99] 900.0 1.000 0. 0.009 131005.0039.ec.fits[100] 900.0 1.000 0. 0.009 131005.0039.ec.fits[101] 900.0 1.000 0. 0.009 131005.0039.ec.fits[102] 900.0 1.000 0. 0.009 131005.0039.ec.fits[103] 900.0 1.000 0. 0.009 131005.0039.ec.fits[104] 900.0 1.000 0. 0.009 131005.0039.ec.fits[105] 900.0 1.000 0. 0.009 131005.0039.ec.fits[106] 900.0 1.000 0. 0.009 131005.0039.ec.fits[107] 900.0 1.000 0. 0.009 131005.0039.ec.fits[108] 900.0 1.000 0. 0.009 131005.0039.ec.fits[109] 900.0 1.000 0. 0.009 131005.0039.ec.fits[110] 900.0 1.000 0. 0.009 131005.0039.ec.fits[111] 900.0 1.000 0. 0.009 131005.0039.ec.fits[112] 900.0 1.000 0. 0.009 131005.0039.ec.fits[113] 900.0 1.000 0. 0.009 131005.0039.ec.fits[114] 900.0 1.000 0. 0.009 131005.0039.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum131005.0039.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.474, w2 = 10811.66, dw = 0.04383123, nw = 170021., dtype = 0 Dec 9 15:55: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 131005.0040.ec.fits[ 1] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 2] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 3] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 4] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 5] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 6] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 7] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 8] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 9] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 10] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 11] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 12] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 13] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 14] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 15] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 16] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 17] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 18] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 19] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 20] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 21] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 22] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 23] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 24] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 25] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 26] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 27] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 28] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 29] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 30] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 31] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 32] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 33] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 34] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 35] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 36] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 37] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 38] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 39] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 40] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 41] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 42] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 43] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 44] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 45] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 46] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 47] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 48] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 49] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 50] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 51] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 52] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 53] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 54] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 55] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 56] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 57] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 58] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 59] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 60] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 61] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 62] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 63] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 64] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 65] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 66] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 67] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 68] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 69] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 70] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 71] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 72] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 73] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 74] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 75] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 76] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 77] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 78] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 79] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 80] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 81] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 82] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 83] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 84] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 85] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 86] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 87] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 88] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 89] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 90] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 91] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 92] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 93] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 94] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 95] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 96] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 97] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 98] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[ 99] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[100] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[101] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[102] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[103] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[104] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[105] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[106] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[107] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[108] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[109] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[110] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[111] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[112] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[113] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[114] 1500.0 1.000 0. 0.009 131005.0040.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum131005.0040.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.537, w2 = 10811.61, dw = 0.04378578, nw = 170195., dtype = 0 Dec 9 15:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0021.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[100] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[101] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[102] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[103] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[104] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[105] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[106] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[107] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[108] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[109] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[110] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[111] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[112] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[113] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[114] 600.0 1.000 0. 0.009 fitcont131005.0021.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont131005.0021.ec.fits, ncombine = 115, exptime = 69000.09 w1 = 3359.601, w2 = 10811.75, dw = 0.04383514, nw = 170005., dtype = 0 Dec 9 15:57: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0022.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[100] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[101] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[102] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[103] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[104] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[105] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[106] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[107] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[108] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[109] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[110] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[111] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[112] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[113] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[114] 900.0 1.000 0. 0.009 fitcont131005.0022.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont131005.0022.ec.fits, ncombine = 115, exptime = 103500.1 w1 = 3359.607, w2 = 10811.75, dw = 0.04383332, nw = 170012., dtype = 0 Dec 9 15:58: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[100] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[101] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[102] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[103] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[104] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[105] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[106] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[107] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[108] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[109] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[110] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[111] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[112] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[113] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[114] 900.0 1.000 0. 0.009 fitcont131005.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont131005.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.615, w2 = 10811.75, dw = 0.04383096, nw = 170021., dtype = 0 Dec 9 15:59: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[100] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[101] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[102] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[103] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[104] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[105] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[106] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[107] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[108] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[109] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[110] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[111] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[112] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[113] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[114] 900.0 1.000 0. 0.009 fitcont131005.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont131005.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.622, w2 = 10811.74, dw = 0.0438084, nw = 170108., dtype = 0 Dec 9 16:00: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont131005.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont131005.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.626, w2 = 10811.7, dw = 0.04376881, nw = 170261., dtype = 0 Dec 9 16:01: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0028.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont131005.0028.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont131005.0028.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.617, w2 = 10811.68, dw = 0.04377002, nw = 170256., dtype = 0 Dec 9 16:01: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont131005.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont131005.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.593, w2 = 10811.68, dw = 0.04382188, nw = 170055., dtype = 0 Dec 9 16:02: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0031.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont131005.0031.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont131005.0031.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.571, w2 = 10811.66, dw = 0.04383275, nw = 170013., dtype = 0 Dec 9 16:03: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0033.ec.fits[ 1] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 2] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 3] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 4] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 5] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 6] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 7] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 8] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 9] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 10] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 11] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 12] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 13] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 14] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 15] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 16] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 17] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 18] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 19] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 20] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 21] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 22] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 23] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 24] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 25] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 26] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 27] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 28] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 29] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 30] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 31] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 32] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 33] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 34] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 35] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 36] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 37] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 38] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 39] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 40] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 41] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 42] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 43] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 44] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 45] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 46] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 47] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 48] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 49] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 50] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 51] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 52] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 53] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 54] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 55] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 56] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 57] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 58] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 59] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 60] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 61] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 62] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 63] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 64] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 65] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 66] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 67] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 68] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 69] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 70] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 71] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 72] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 73] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 74] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 75] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 76] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 77] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 78] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 79] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 80] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 81] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 82] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 83] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 84] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 85] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 86] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 87] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 88] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 89] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 90] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 91] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 92] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 93] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 94] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 95] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 96] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 97] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 98] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[ 99] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[100] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[101] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[102] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[103] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[104] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[105] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[106] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[107] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[108] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[109] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[110] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[111] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[112] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[113] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[114] 2100.0 1.000 0. 0.009 fitcont131005.0033.ec.fits[115] 2100.0 1.000 0. 0.009 Output image = sumfitcont131005.0033.ec.fits, ncombine = 115, exptime = 241500. w1 = 3359.56, w2 = 10811.66, dw = 0.04381889, nw = 170067., dtype = 0 Dec 9 16:04: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0035.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 18] 900.0 1.000 0. 0.009 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0.009 fitcont131005.0035.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[100] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[101] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[102] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[103] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[104] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[105] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[106] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[107] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[108] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[109] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[110] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[111] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[112] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[113] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[114] 900.0 1.000 0. 0.009 fitcont131005.0035.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont131005.0035.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.533, w2 = 10811.68, dw = 0.04383125, nw = 170020., dtype = 0 Dec 9 16:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0036.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[100] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[101] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[102] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[103] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[104] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[105] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[106] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[107] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[108] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[109] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[110] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[111] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[112] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[113] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[114] 900.0 1.000 0. 0.009 fitcont131005.0036.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont131005.0036.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.495, w2 = 10811.68, dw = 0.04384051, nw = 169985., dtype = 0 Dec 9 16:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0037.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[100] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[101] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[102] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[103] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[104] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[105] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[106] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[107] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[108] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[109] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[110] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[111] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[112] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[113] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[114] 600.0 1.000 0. 0.009 fitcont131005.0037.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont131005.0037.ec.fits, ncombine = 115, exptime = 69000.09 w1 = 3359.462, w2 = 10811.68, dw = 0.04384845, nw = 169955., dtype = 0 Dec 9 16:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0039.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[100] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[101] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[102] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[103] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[104] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[105] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[106] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[107] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[108] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[109] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[110] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[111] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[112] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[113] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[114] 900.0 1.000 0. 0.009 fitcont131005.0039.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont131005.0039.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.474, w2 = 10811.66, dw = 0.04383123, nw = 170021., dtype = 0 Dec 9 16:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont131005.0040.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont131005.0040.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont131005.0040.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.537, w2 = 10811.61, dw = 0.04378578, nw = 170195., dtype = 0 69000.09 fullspec131005.0021.ec.fits,EXPTIME: 69000.09 -> 600.000782609 fullspec131005.0021.ec.fits updated 103500.1 fullspec131005.0022.ec.fits,EXPTIME: 103500.1 -> 900.000869565 fullspec131005.0022.ec.fits updated 103500. fullspec131005.0023.ec.fits,EXPTIME: 103500. -> 900.0 fullspec131005.0023.ec.fits updated 103500. fullspec131005.0025.ec.fits,EXPTIME: 103500. -> 900.0 fullspec131005.0025.ec.fits updated 138000. fullspec131005.0026.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec131005.0026.ec.fits updated 138000. fullspec131005.0028.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec131005.0028.ec.fits updated 172500. fullspec131005.0029.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec131005.0029.ec.fits updated 207000. fullspec131005.0031.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec131005.0031.ec.fits updated 241500. fullspec131005.0033.ec.fits,EXPTIME: 241500. -> 2100.0 fullspec131005.0033.ec.fits updated 103500. fullspec131005.0035.ec.fits,EXPTIME: 103500. -> 900.0 fullspec131005.0035.ec.fits updated 103500. fullspec131005.0036.ec.fits,EXPTIME: 103500. -> 900.0 fullspec131005.0036.ec.fits updated 69000.09 fullspec131005.0037.ec.fits,EXPTIME: 69000.09 -> 600.000782609 fullspec131005.0037.ec.fits updated 103500. fullspec131005.0039.ec.fits,EXPTIME: 103500. -> 900.0 fullspec131005.0039.ec.fits updated 172500. fullspec131005.0040.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec131005.0040.ec.fits updated ALL DONE! Yay! (=^.^=)