Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 141014.0021.fits,dispaxis = 1 141014.0021.fits updated add 141014.0022.fits,dispaxis = 1 141014.0022.fits updated add 141014.0023.fits,dispaxis = 1 141014.0023.fits updated add 141014.0025.fits,dispaxis = 1 141014.0025.fits updated add 141014.0026.fits,dispaxis = 1 141014.0026.fits updated add 141014.0027.fits,dispaxis = 1 141014.0027.fits updated add 141014.0029.fits,dispaxis = 1 141014.0029.fits updated add 141014.0030.fits,dispaxis = 1 141014.0030.fits updated add 141014.0031.fits,dispaxis = 1 141014.0031.fits updated add 141014.0033.fits,dispaxis = 1 141014.0033.fits updated add 141014.0034.fits,dispaxis = 1 141014.0034.fits updated add 141014.0035.fits,dispaxis = 1 141014.0035.fits updated add 141014.0037.fits,dispaxis = 1 141014.0037.fits updated add 141014.0038.fits,dispaxis = 1 141014.0038.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.0028.fits,dispaxis = 1 EchelleThAr.0028.fits updated add EchelleThAr.0032.fits,dispaxis = 1 EchelleThAr.0032.fits updated add EchelleThAr.0036.fits,dispaxis = 1 EchelleThAr.0036.fits updated add EchelleThAr.0039.fits,dispaxis = 1 EchelleThAr.0039.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 141014.0021.fits with mask echmask.pl FIXPIX: image 141014.0022.fits with mask echmask.pl FIXPIX: image 141014.0023.fits with mask echmask.pl FIXPIX: image 141014.0025.fits with mask echmask.pl FIXPIX: image 141014.0026.fits with mask echmask.pl FIXPIX: image 141014.0027.fits with mask echmask.pl FIXPIX: image 141014.0029.fits with mask echmask.pl FIXPIX: image 141014.0030.fits with mask echmask.pl FIXPIX: image 141014.0031.fits with mask echmask.pl FIXPIX: image 141014.0033.fits with mask echmask.pl FIXPIX: image 141014.0034.fits with mask echmask.pl FIXPIX: image 141014.0035.fits with mask echmask.pl FIXPIX: image 141014.0037.fits with mask echmask.pl FIXPIX: image 141014.0038.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.0028.fits with mask echmask.pl FIXPIX: image EchelleThAr.0032.fits with mask echmask.pl FIXPIX: image EchelleThAr.0036.fits with mask echmask.pl FIXPIX: image EchelleThAr.0039.fits with mask echmask.pl Oct 14 14:32: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 1.2 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)... 141014.0021.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] bias_fid: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0021.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0022.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0022.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0023.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0023.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0025.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0025.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0026.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0026.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0027.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0027.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0029.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0029.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0030.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0030.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0031.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0031.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0033.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0033.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0034.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0034.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0035.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0035.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0037.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0037.fits: Oct 14 14:32 Zero level correction image is bias_fid 141014.0038.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] 141014.0038.fits: Oct 14 14:32 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleFlat.0012.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleFlat.0013.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Oct 14 14:32 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Oct 14 14:32 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleThAr.0018.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleThAr.0019.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleThAr.0020.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleThAr.0024.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleThAr.0024.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleThAr.0028.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleThAr.0028.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleThAr.0032.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleThAr.0032.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleThAr.0036.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleThAr.0036.fits: Oct 14 14:32 Zero level correction image is bias_fid EchelleThAr.0039.fits: Oct 14 14:32 Trim data section is [200:1850,1:2048] EchelleThAr.0039.fits: Oct 14 14:32 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Oct 14 14:32: 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 Oct 14 14:32: 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... Oct 14 14:32: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1645. Oct 14 14:32: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1646. Oct 14 14:32: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1596. Oct 14 14:32: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1597. Oct 14 14:32: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1598. Oct 14 14:32: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1641. Oct 14 14:32: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1642. Oct 14 14:32: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1643. Oct 14 14:32: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 104. Oct 14 14:32: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 103. Oct 14 14:32: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1603. Oct 14 14:32: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1604. Oct 14 14:32: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1605. Oct 14 14:32: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1597. Oct 14 14:32: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1598. Oct 14 14:32: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1632. Oct 14 14:32: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1633. Oct 14 14:32: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1634. Oct 14 14:32: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 126. Oct 14 14:32: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 125. Oct 14 14:32: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1581. Oct 14 14:32: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1582. Oct 14 14:32: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1595. Oct 14 14:32: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1596. Oct 14 14:32: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1623. Oct 14 14:32: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1624. Oct 14 14:32: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 134. Oct 14 14:32: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 133. Oct 14 14:32: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1609. Oct 14 14:32: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1610. Oct 14 14:32: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1611. Oct 14 14:32: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 175. Oct 14 14:32: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 174. Oct 14 14:32: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 173. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1523. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1524. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1625. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1626. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1627. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 175. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 174. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 173. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 172. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 144. Oct 14 14:32: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 143. Oct 14 14:32: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1515. Oct 14 14:32: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1516. Oct 14 14:32: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1523. Oct 14 14:32: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1524. Oct 14 14:32: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1525. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1463. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1464. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1465. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1466. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1536. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1537. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1543. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1544. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1562. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1563. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1569. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1570. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1577. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1578. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1617. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1618. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1619. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1634. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1635. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1636. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 248. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 247. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 206. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 205. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 202. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 201. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 200. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 199. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 120. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 119. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 117. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 116. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 115. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 107. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 106. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 104. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 103. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 102. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 17. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 16. Oct 14 14:32: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 15. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1504. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1505. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1506. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 206. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 205. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 196. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 195. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 194. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 187. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 186. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 182. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 181. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 179. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 178. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 177. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 167. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 166. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 149. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 148. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 127. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 126. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 125. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 120. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 119. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 58. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 57. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 52. Oct 14 14:32: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 51. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1482. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1483. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1484. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1485. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1486. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1544. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1545. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1555. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1556. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1571. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1572. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1573. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 210. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 209. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 203. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 202. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 201. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 193. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 192. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 180. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 179. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 163. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 162. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 137. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 136. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 135. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 121. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 120. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 111. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 110. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 109. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 108. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 107. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 106. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 105. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 69. Oct 14 14:32: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 68. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1351. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1352. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1353. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1395. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1396. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1418. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1419. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1437. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1438. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1439. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1451. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1452. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1472. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1473. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1488. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1489. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1502. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1503. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1505. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1506. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1507. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 312. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 311. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 256. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 255. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 253. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 252. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 246. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 245. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 244. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 243. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 227. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 226. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 220. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 219. Oct 14 14:32: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 218. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1380. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1381. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1382. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 328. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 327. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 326. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 221. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 220. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 219. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 216. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 215. Oct 14 14:32: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 214. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1315. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1316. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1330. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1331. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1347. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1348. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1366. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1367. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1368. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 254. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 253. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 252. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 242. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 241. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 227. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 226. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 203. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 202. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 165. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 164. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 163. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 162. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 157. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 156. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 155. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 151. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 150. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 139. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 138. Oct 14 14:32: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 137. Oct 14 14:32: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1066. Oct 14 14:32: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1067. Oct 14 14:32: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1273. Oct 14 14:32: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1274. Oct 14 14:32: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1275. Oct 14 14:32: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 495. Oct 14 14:32: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 494. Oct 14 14:32: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 493. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1077. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1078. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1093. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1094. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1117. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1118. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1142. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1143. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1227. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1228. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1245. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1246. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1247. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1248. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1249. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1250. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1260. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1261. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1262. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1266. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1267. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1282. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1283. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1286. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1287. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1288. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1338. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1339. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1340. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1345. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1346. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1351. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1352. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1353. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1354. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1357. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1358. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1368. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1369. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1370. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 363. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 362. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 323. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 322. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 321. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 296. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 295. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 294. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 289. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 288. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 274. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 273. Oct 14 14:32: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 272. Oct 14 14:32: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 941. Oct 14 14:32: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 942. Oct 14 14:32: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 943. Oct 14 14:32: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 812. Oct 14 14:32: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 811. Oct 14 14:32: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 810. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 17.81 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.0028.fits Magnify image EchelleThAr.0028.fits to image EchelleThAr.0028.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0028.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0028.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.0036.fits Magnify image EchelleThAr.0036.fits to image EchelleThAr.0036.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.0036.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0036.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0039.fits Magnify image EchelleThAr.0039.fits to image EchelleThAr.0039.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.0039.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0039.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141014.0021 Magnify image 141014.0021 to image 141014.0021. 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 141014.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0021 -> noscat141014.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141014.0022 Magnify image 141014.0022 to image 141014.0022. 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 141014.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0022 -> noscat141014.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:34: EXTRACT: WARNING - Aperture 105: Oct 14 14:34: Total variance weighted spectrum flux is 7633.84 Oct 14 14:34: Total unweighted spectrum flux is 3552.178 Oct 14 14:34: EXTRACT: Aperture 105 variance spectrum bias factor is 0.46532 Oct 14 14:34: EXTRACT: WARNING - Aperture 107: Oct 14 14:34: Total variance weighted spectrum flux is 6580.719 Oct 14 14:34: Total unweighted spectrum flux is 2241.552 Oct 14 14:34: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3406242 Oct 14 14:34: EXTRACT: WARNING - Aperture 108: Oct 14 14:34: Total variance weighted spectrum flux is 6457.148 Oct 14 14:34: Total unweighted spectrum flux is 3024.514 Oct 14 14:34: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4683979 Oct 14 14:34: EXTRACT: WARNING - Aperture 109: Oct 14 14:34: Total variance weighted spectrum flux is 6329.976 Oct 14 14:34: Total unweighted spectrum flux is 2404.575 Oct 14 14:34: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3798712 Oct 14 14:34: EXTRACT: WARNING - Aperture 110: Oct 14 14:34: Total variance weighted spectrum flux is 12965.23 Oct 14 14:34: Total unweighted spectrum flux is 1875.437 Oct 14 14:34: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1446513 Oct 14 14:34: EXTRACT: WARNING - Aperture 111: Oct 14 14:34: Total variance weighted spectrum flux is 4717.385 Oct 14 14:34: Total unweighted spectrum flux is 1390.528 Oct 14 14:34: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2947667 Oct 14 14:34: EXTRACT: WARNING - Aperture 112: Oct 14 14:34: Total variance weighted spectrum flux is 5033.543 Oct 14 14:34: Total unweighted spectrum flux is 908.2168 Oct 14 14:34: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1804329 Oct 14 14:34: EXTRACT: WARNING - Aperture 113: Oct 14 14:34: Total variance weighted spectrum flux is 1177.175 Oct 14 14:34: Total unweighted spectrum flux is -589.6611 Oct 14 14:34: Variance spectrum bias factor ignored Oct 14 14:34: EXTRACT: WARNING - Aperture 114: Oct 14 14:34: Total variance weighted spectrum flux is 4744.358 Oct 14 14:34: Total unweighted spectrum flux is 2166.627 Oct 14 14:34: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4566744 Oct 14 14:34: EXTRACT: WARNING - Aperture 115: Oct 14 14:34: Total variance weighted spectrum flux is 2401.729 Oct 14 14:34: Total unweighted spectrum flux is 592.1198 Oct 14 14:34: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2465389 Resampling the object by a factor of 4 in the y direction... 141014.0023 Magnify image 141014.0023 to image 141014.0023. 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 141014.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0023 -> noscat141014.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:35: EXTRACT: WARNING - Aperture 115: Oct 14 14:35: Total variance weighted spectrum flux is 3641.046 Oct 14 14:35: Total unweighted spectrum flux is 1538.953 Oct 14 14:35: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4226678 Resampling the object by a factor of 4 in the y direction... 141014.0025 Magnify image 141014.0025 to image 141014.0025. 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 141014.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0025 -> noscat141014.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:36: EXTRACT: WARNING - Aperture 105: Oct 14 14:36: Total variance weighted spectrum flux is 10378.76 Oct 14 14:36: Total unweighted spectrum flux is 4745.383 Oct 14 14:36: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4572204 Oct 14 14:36: EXTRACT: WARNING - Aperture 109: Oct 14 14:36: Total variance weighted spectrum flux is 6840.406 Oct 14 14:36: Total unweighted spectrum flux is 1261.657 Oct 14 14:36: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1844418 Oct 14 14:36: EXTRACT: WARNING - Aperture 110: Oct 14 14:36: Total variance weighted spectrum flux is 7839.751 Oct 14 14:36: Total unweighted spectrum flux is 3126.866 Oct 14 14:36: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3988476 Oct 14 14:36: EXTRACT: WARNING - Aperture 111: Oct 14 14:36: Total variance weighted spectrum flux is 2485.169 Oct 14 14:36: Total unweighted spectrum flux is 382.1855 Oct 14 14:36: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1537865 Oct 14 14:36: EXTRACT: WARNING - Aperture 113: Oct 14 14:36: Total variance weighted spectrum flux is 4824.021 Oct 14 14:36: Total unweighted spectrum flux is 1519.123 Oct 14 14:36: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3149081 Oct 14 14:36: EXTRACT: WARNING - Aperture 114: Oct 14 14:36: Total variance weighted spectrum flux is 5730.793 Oct 14 14:36: Total unweighted spectrum flux is 1909.019 Oct 14 14:36: EXTRACT: Aperture 114 variance spectrum bias factor is 0.333116 Resampling the object by a factor of 4 in the y direction... 141014.0026 Magnify image 141014.0026 to image 141014.0026. 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 141014.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0026 -> noscat141014.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:36: EXTRACT: WARNING - Aperture 1: Oct 14 14:36: Total variance weighted spectrum flux is 4639.571 Oct 14 14:36: Total unweighted spectrum flux is -86.95253 Oct 14 14:36: Variance spectrum bias factor ignored Oct 14 14:36: EXTRACT: WARNING - Aperture 97: Oct 14 14:36: Total variance weighted spectrum flux is 7052.601 Oct 14 14:36: Total unweighted spectrum flux is 3390.989 Oct 14 14:36: EXTRACT: Aperture 97 variance spectrum bias factor is 0.480814 Oct 14 14:36: EXTRACT: WARNING - Aperture 100: Oct 14 14:36: Total variance weighted spectrum flux is 5347.203 Oct 14 14:36: Total unweighted spectrum flux is 2555.191 Oct 14 14:36: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4778557 Oct 14 14:36: EXTRACT: WARNING - Aperture 104: Oct 14 14:36: Total variance weighted spectrum flux is 9132.534 Oct 14 14:36: Total unweighted spectrum flux is 4469.128 Oct 14 14:36: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4893635 Oct 14 14:36: EXTRACT: WARNING - Aperture 105: Oct 14 14:36: Total variance weighted spectrum flux is 4155.502 Oct 14 14:36: Total unweighted spectrum flux is 1584.76 Oct 14 14:36: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3813643 Oct 14 14:36: EXTRACT: WARNING - Aperture 106: Oct 14 14:36: Total variance weighted spectrum flux is 6654.071 Oct 14 14:36: Total unweighted spectrum flux is 2017.311 Oct 14 14:36: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3031694 Oct 14 14:36: EXTRACT: WARNING - Aperture 107: Oct 14 14:36: Total variance weighted spectrum flux is 12963.32 Oct 14 14:36: Total unweighted spectrum flux is 4139.52 Oct 14 14:36: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3193256 Oct 14 14:36: EXTRACT: WARNING - Aperture 108: Oct 14 14:36: Total variance weighted spectrum flux is 8401.715 Oct 14 14:36: Total unweighted spectrum flux is 1992.727 Oct 14 14:36: EXTRACT: Aperture 108 variance spectrum bias factor is 0.237181 Oct 14 14:36: EXTRACT: WARNING - Aperture 109: Oct 14 14:36: Total variance weighted spectrum flux is 5755.917 Oct 14 14:36: Total unweighted spectrum flux is 1471.89 Oct 14 14:36: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2557177 Oct 14 14:36: EXTRACT: WARNING - Aperture 110: Oct 14 14:36: Total variance weighted spectrum flux is 5213.274 Oct 14 14:36: Total unweighted spectrum flux is 1247.087 Oct 14 14:36: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2392138 Oct 14 14:36: EXTRACT: WARNING - Aperture 111: Oct 14 14:36: Total variance weighted spectrum flux is 5270.848 Oct 14 14:36: Total unweighted spectrum flux is 728.8315 Oct 14 14:36: EXTRACT: Aperture 111 variance spectrum bias factor is 0.138276 Oct 14 14:36: EXTRACT: WARNING - Aperture 112: Oct 14 14:36: Total variance weighted spectrum flux is 4062.435 Oct 14 14:36: Total unweighted spectrum flux is 1117.963 Oct 14 14:36: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2751952 Oct 14 14:36: EXTRACT: WARNING - Aperture 113: Oct 14 14:36: Total variance weighted spectrum flux is 2166.004 Oct 14 14:36: Total unweighted spectrum flux is -1519.651 Oct 14 14:36: Variance spectrum bias factor ignored Oct 14 14:36: EXTRACT: WARNING - Aperture 114: Oct 14 14:36: Total variance weighted spectrum flux is 4661.684 Oct 14 14:36: Total unweighted spectrum flux is -258.2106 Oct 14 14:36: Variance spectrum bias factor ignored Oct 14 14:36: EXTRACT: WARNING - Aperture 115: Oct 14 14:36: Total variance weighted spectrum flux is 2160.083 Oct 14 14:36: Total unweighted spectrum flux is 712.4581 Oct 14 14:36: EXTRACT: Aperture 115 variance spectrum bias factor is 0.329829 Resampling the object by a factor of 4 in the y direction... 141014.0027 Magnify image 141014.0027 to image 141014.0027. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141014.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0027 -> noscat141014.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141014.0029 Magnify image 141014.0029 to image 141014.0029. 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 141014.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0029 -> noscat141014.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141014.0030 Magnify image 141014.0030 to image 141014.0030. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141014.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0030 -> noscat141014.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:38: EXTRACT: WARNING - Aperture 1: Oct 14 14:38: Total variance weighted spectrum flux is 2251.32 Oct 14 14:38: Total unweighted spectrum flux is -5113.653 Oct 14 14:38: Variance spectrum bias factor ignored Oct 14 14:39: EXTRACT: WARNING - Aperture 106: Oct 14 14:39: Total variance weighted spectrum flux is 8217.915 Oct 14 14:39: Total unweighted spectrum flux is 3414.51 Oct 14 14:39: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4154959 Oct 14 14:39: EXTRACT: WARNING - Aperture 107: Oct 14 14:39: Total variance weighted spectrum flux is 9606.772 Oct 14 14:39: Total unweighted spectrum flux is 4383.203 Oct 14 14:39: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4562618 Oct 14 14:39: EXTRACT: WARNING - Aperture 110: Oct 14 14:39: Total variance weighted spectrum flux is 7187.453 Oct 14 14:39: Total unweighted spectrum flux is 1847.779 Oct 14 14:39: EXTRACT: Aperture 110 variance spectrum bias factor is 0.257084 Oct 14 14:39: EXTRACT: WARNING - Aperture 111: Oct 14 14:39: Total variance weighted spectrum flux is 6905.066 Oct 14 14:39: Total unweighted spectrum flux is 2613.713 Oct 14 14:39: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3785211 Oct 14 14:39: EXTRACT: WARNING - Aperture 112: Oct 14 14:39: Total variance weighted spectrum flux is 7070.116 Oct 14 14:39: Total unweighted spectrum flux is 2563.274 Oct 14 14:39: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3625505 Oct 14 14:39: EXTRACT: WARNING - Aperture 113: Oct 14 14:39: Total variance weighted spectrum flux is 5350.397 Oct 14 14:39: Total unweighted spectrum flux is 27.04989 Oct 14 14:39: EXTRACT: Aperture 113 variance spectrum bias factor is 0.005055679 Oct 14 14:39: EXTRACT: WARNING - Aperture 114: Oct 14 14:39: Total variance weighted spectrum flux is 2482.749 Oct 14 14:39: Total unweighted spectrum flux is 507.4056 Oct 14 14:39: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2043725 Resampling the object by a factor of 4 in the y direction... 141014.0031 Magnify image 141014.0031 to image 141014.0031. 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 141014.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0031 -> noscat141014.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:40: EXTRACT: WARNING - Aperture 109: Oct 14 14:40: Total variance weighted spectrum flux is 5733.386 Oct 14 14:40: Total unweighted spectrum flux is 476.3758 Oct 14 14:40: EXTRACT: Aperture 109 variance spectrum bias factor is 0.08308804 Oct 14 14:40: EXTRACT: WARNING - Aperture 112: Oct 14 14:40: Total variance weighted spectrum flux is 7436.825 Oct 14 14:40: Total unweighted spectrum flux is 3369.623 Oct 14 14:40: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4530997 Oct 14 14:40: EXTRACT: WARNING - Aperture 114: Oct 14 14:40: Total variance weighted spectrum flux is 2829.143 Oct 14 14:40: Total unweighted spectrum flux is 789.4261 Oct 14 14:40: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2790337 Oct 14 14:40: EXTRACT: WARNING - Aperture 115: Oct 14 14:40: Total variance weighted spectrum flux is 945.3 Oct 14 14:40: Total unweighted spectrum flux is 444.3912 Oct 14 14:40: EXTRACT: Aperture 115 variance spectrum bias factor is 0.470106 Resampling the object by a factor of 4 in the y direction... 141014.0033 Magnify image 141014.0033 to image 141014.0033. 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 141014.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0033 -> noscat141014.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:40: EXTRACT: WARNING - Aperture 100: Oct 14 14:40: Total variance weighted spectrum flux is 11155.38 Oct 14 14:40: Total unweighted spectrum flux is 5199.795 Oct 14 14:40: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4661243 Oct 14 14:40: EXTRACT: WARNING - Aperture 104: Oct 14 14:40: Total variance weighted spectrum flux is 12157.01 Oct 14 14:40: Total unweighted spectrum flux is 3483.241 Oct 14 14:40: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2865212 Oct 14 14:40: EXTRACT: WARNING - Aperture 105: Oct 14 14:40: Total variance weighted spectrum flux is 6055.271 Oct 14 14:40: Total unweighted spectrum flux is 1375.913 Oct 14 14:40: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2272257 Oct 14 14:40: EXTRACT: WARNING - Aperture 106: Oct 14 14:40: Total variance weighted spectrum flux is 9537.96 Oct 14 14:40: Total unweighted spectrum flux is 1776.154 Oct 14 14:40: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1862195 Oct 14 14:40: EXTRACT: WARNING - Aperture 107: Oct 14 14:40: Total variance weighted spectrum flux is 6306.148 Oct 14 14:40: Total unweighted spectrum flux is 1805.309 Oct 14 14:40: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2862776 Oct 14 14:40: EXTRACT: WARNING - Aperture 108: Oct 14 14:40: Total variance weighted spectrum flux is 9003.546 Oct 14 14:40: Total unweighted spectrum flux is 2702.587 Oct 14 14:40: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3001692 Oct 14 14:40: EXTRACT: WARNING - Aperture 109: Oct 14 14:40: Total variance weighted spectrum flux is 8892.614 Oct 14 14:40: Total unweighted spectrum flux is 1668.797 Oct 14 14:40: EXTRACT: Aperture 109 variance spectrum bias factor is 0.187661 Oct 14 14:40: EXTRACT: WARNING - Aperture 110: Oct 14 14:40: Total variance weighted spectrum flux is 10275.8 Oct 14 14:40: Total unweighted spectrum flux is 2244.691 Oct 14 14:40: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2184445 Oct 14 14:40: EXTRACT: WARNING - Aperture 111: Oct 14 14:40: Total variance weighted spectrum flux is 2488.919 Oct 14 14:40: Total unweighted spectrum flux is 741.4795 Oct 14 14:40: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2979123 Oct 14 14:40: EXTRACT: WARNING - Aperture 112: Oct 14 14:40: Total variance weighted spectrum flux is 3730.42 Oct 14 14:40: Total unweighted spectrum flux is 253.7782 Oct 14 14:40: EXTRACT: Aperture 112 variance spectrum bias factor is 0.0680294 Oct 14 14:40: EXTRACT: WARNING - Aperture 114: Oct 14 14:40: Total variance weighted spectrum flux is 3071.627 Oct 14 14:40: Total unweighted spectrum flux is -754.8983 Oct 14 14:40: Variance spectrum bias factor ignored Oct 14 14:40: EXTRACT: WARNING - Aperture 115: Oct 14 14:40: Total variance weighted spectrum flux is 1187.118 Oct 14 14:40: Total unweighted spectrum flux is 391.1287 Oct 14 14:40: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3294774 Resampling the object by a factor of 4 in the y direction... 141014.0034 Magnify image 141014.0034 to image 141014.0034. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141014.0034,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0034 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0034 -> noscat141014.0034 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:41: EXTRACT: WARNING - Aperture 105: Oct 14 14:41: Total variance weighted spectrum flux is 8122.819 Oct 14 14:41: Total unweighted spectrum flux is 3803.195 Oct 14 14:41: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4682112 Oct 14 14:41: EXTRACT: WARNING - Aperture 106: Oct 14 14:41: Total variance weighted spectrum flux is 8818.994 Oct 14 14:41: Total unweighted spectrum flux is 2273.926 Oct 14 14:41: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2578442 Oct 14 14:41: EXTRACT: WARNING - Aperture 107: Oct 14 14:41: Total variance weighted spectrum flux is 8712.182 Oct 14 14:41: Total unweighted spectrum flux is 3019.771 Oct 14 14:41: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3466147 Oct 14 14:41: EXTRACT: WARNING - Aperture 108: Oct 14 14:41: Total variance weighted spectrum flux is 7395.349 Oct 14 14:41: Total unweighted spectrum flux is 2600.455 Oct 14 14:41: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3516338 Oct 14 14:41: EXTRACT: WARNING - Aperture 109: Oct 14 14:41: Total variance weighted spectrum flux is 791.838 Oct 14 14:41: Total unweighted spectrum flux is 365.085 Oct 14 14:41: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4610602 Oct 14 14:41: EXTRACT: WARNING - Aperture 110: Oct 14 14:41: Total variance weighted spectrum flux is 4432.945 Oct 14 14:41: Total unweighted spectrum flux is -277.0549 Oct 14 14:41: Variance spectrum bias factor ignored Oct 14 14:41: EXTRACT: WARNING - Aperture 111: Oct 14 14:41: Total variance weighted spectrum flux is 6244.28 Oct 14 14:41: Total unweighted spectrum flux is 1652.397 Oct 14 14:41: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2646257 Oct 14 14:41: EXTRACT: WARNING - Aperture 112: Oct 14 14:41: Total variance weighted spectrum flux is 2589.568 Oct 14 14:41: Total unweighted spectrum flux is 356.5422 Oct 14 14:41: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1376841 Oct 14 14:41: EXTRACT: WARNING - Aperture 113: Oct 14 14:41: Total variance weighted spectrum flux is 1704.906 Oct 14 14:41: Total unweighted spectrum flux is 183.8819 Oct 14 14:41: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1078546 Oct 14 14:41: EXTRACT: WARNING - Aperture 114: Oct 14 14:41: Total variance weighted spectrum flux is 6998.696 Oct 14 14:41: Total unweighted spectrum flux is 1198.395 Oct 14 14:41: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1712311 Resampling the object by a factor of 4 in the y direction... 141014.0035 Magnify image 141014.0035 to image 141014.0035. 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 141014.0035,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0035 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0035 -> noscat141014.0035 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:42: EXTRACT: WARNING - Aperture 94: Oct 14 14:42: Total variance weighted spectrum flux is 12354.89 Oct 14 14:42: Total unweighted spectrum flux is 4557.674 Oct 14 14:42: EXTRACT: Aperture 94 variance spectrum bias factor is 0.3688964 Oct 14 14:42: EXTRACT: WARNING - Aperture 96: Oct 14 14:42: Total variance weighted spectrum flux is 4717.137 Oct 14 14:42: Total unweighted spectrum flux is 2003.458 Oct 14 14:42: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4247192 Oct 14 14:42: EXTRACT: WARNING - Aperture 97: Oct 14 14:42: Total variance weighted spectrum flux is 12488.21 Oct 14 14:42: Total unweighted spectrum flux is -60.88722 Oct 14 14:42: Variance spectrum bias factor ignored Oct 14 14:42: EXTRACT: WARNING - Aperture 98: Oct 14 14:42: Total variance weighted spectrum flux is 8240.327 Oct 14 14:42: Total unweighted spectrum flux is 2775.778 Oct 14 14:42: EXTRACT: Aperture 98 variance spectrum bias factor is 0.3368528 Oct 14 14:42: EXTRACT: WARNING - Aperture 99: Oct 14 14:42: Total variance weighted spectrum flux is 6476.798 Oct 14 14:42: Total unweighted spectrum flux is 1372.823 Oct 14 14:42: EXTRACT: Aperture 99 variance spectrum bias factor is 0.2119601 Oct 14 14:42: EXTRACT: WARNING - Aperture 100: Oct 14 14:42: Total variance weighted spectrum flux is 8118.617 Oct 14 14:42: Total unweighted spectrum flux is 1813.339 Oct 14 14:42: EXTRACT: Aperture 100 variance spectrum bias factor is 0.2233556 Oct 14 14:42: EXTRACT: WARNING - Aperture 101: Oct 14 14:42: Total variance weighted spectrum flux is 6948.959 Oct 14 14:42: Total unweighted spectrum flux is 726.5043 Oct 14 14:42: EXTRACT: Aperture 101 variance spectrum bias factor is 0.1045486 Oct 14 14:42: EXTRACT: WARNING - Aperture 102: Oct 14 14:42: Total variance weighted spectrum flux is 3212.196 Oct 14 14:42: Total unweighted spectrum flux is 409.6401 Oct 14 14:42: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1275265 Oct 14 14:42: EXTRACT: WARNING - Aperture 103: Oct 14 14:42: Total variance weighted spectrum flux is 9358.844 Oct 14 14:42: Total unweighted spectrum flux is 2048.478 Oct 14 14:42: EXTRACT: Aperture 103 variance spectrum bias factor is 0.2188815 Oct 14 14:42: EXTRACT: WARNING - Aperture 104: Oct 14 14:42: Total variance weighted spectrum flux is 7614.981 Oct 14 14:42: Total unweighted spectrum flux is 1520.546 Oct 14 14:42: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1996782 Oct 14 14:42: EXTRACT: WARNING - Aperture 105: Oct 14 14:42: Total variance weighted spectrum flux is 5830.604 Oct 14 14:42: Total unweighted spectrum flux is 1278.002 Oct 14 14:42: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2191887 Oct 14 14:42: EXTRACT: WARNING - Aperture 106: Oct 14 14:42: Total variance weighted spectrum flux is 4518.968 Oct 14 14:42: Total unweighted spectrum flux is 361.3973 Oct 14 14:42: EXTRACT: Aperture 106 variance spectrum bias factor is 0.07997342 Oct 14 14:42: EXTRACT: WARNING - Aperture 107: Oct 14 14:42: Total variance weighted spectrum flux is 7651.141 Oct 14 14:42: Total unweighted spectrum flux is 2157.763 Oct 14 14:42: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2820185 Oct 14 14:42: EXTRACT: WARNING - Aperture 108: Oct 14 14:42: Total variance weighted spectrum flux is 2731.647 Oct 14 14:42: Total unweighted spectrum flux is 425.7543 Oct 14 14:42: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1558599 Oct 14 14:42: EXTRACT: WARNING - Aperture 109: Oct 14 14:42: Total variance weighted spectrum flux is 10465.86 Oct 14 14:42: Total unweighted spectrum flux is 1682.003 Oct 14 14:42: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1607132 Oct 14 14:42: EXTRACT: WARNING - Aperture 110: Oct 14 14:42: Total variance weighted spectrum flux is 6918.304 Oct 14 14:42: Total unweighted spectrum flux is -496.9829 Oct 14 14:42: Variance spectrum bias factor ignored Oct 14 14:42: EXTRACT: WARNING - Aperture 111: Oct 14 14:42: Total variance weighted spectrum flux is 7113.142 Oct 14 14:42: Total unweighted spectrum flux is -59.61138 Oct 14 14:42: Variance spectrum bias factor ignored Oct 14 14:42: EXTRACT: WARNING - Aperture 112: Oct 14 14:42: Total variance weighted spectrum flux is 1474.339 Oct 14 14:42: Total unweighted spectrum flux is 225.5287 Oct 14 14:42: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1529694 Oct 14 14:42: EXTRACT: WARNING - Aperture 113: Oct 14 14:42: Total variance weighted spectrum flux is 1102.306 Oct 14 14:42: Total unweighted spectrum flux is -722.2911 Oct 14 14:42: Variance spectrum bias factor ignored Oct 14 14:42: EXTRACT: WARNING - Aperture 114: Oct 14 14:42: Total variance weighted spectrum flux is 6068.348 Oct 14 14:42: Total unweighted spectrum flux is 867.353 Oct 14 14:42: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1429307 Oct 14 14:42: EXTRACT: WARNING - Aperture 115: Oct 14 14:42: Total variance weighted spectrum flux is 180.4389 Oct 14 14:42: Total unweighted spectrum flux is -372.0874 Oct 14 14:42: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141014.0037 Magnify image 141014.0037 to image 141014.0037. 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 141014.0037,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0037 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0037 -> noscat141014.0037 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:42: EXTRACT: WARNING - Aperture 1: Oct 14 14:42: Total variance weighted spectrum flux is 6592.998 Oct 14 14:42: Total unweighted spectrum flux is 575.0828 Oct 14 14:42: EXTRACT: Aperture 1 variance spectrum bias factor is 0.08722629 Oct 14 14:42: EXTRACT: WARNING - Aperture 91: Oct 14 14:42: Total variance weighted spectrum flux is 4211.916 Oct 14 14:42: Total unweighted spectrum flux is 1720.875 Oct 14 14:42: EXTRACT: Aperture 91 variance spectrum bias factor is 0.408573 Oct 14 14:42: EXTRACT: WARNING - Aperture 92: Oct 14 14:42: Total variance weighted spectrum flux is 7072.113 Oct 14 14:42: Total unweighted spectrum flux is 3054.338 Oct 14 14:42: EXTRACT: Aperture 92 variance spectrum bias factor is 0.4318847 Oct 14 14:42: EXTRACT: WARNING - Aperture 93: Oct 14 14:42: Total variance weighted spectrum flux is 7364.297 Oct 14 14:42: Total unweighted spectrum flux is 2109.417 Oct 14 14:42: EXTRACT: Aperture 93 variance spectrum bias factor is 0.2864384 Oct 14 14:42: EXTRACT: WARNING - Aperture 94: Oct 14 14:42: Total variance weighted spectrum flux is 8388.983 Oct 14 14:42: Total unweighted spectrum flux is 1879.164 Oct 14 14:42: EXTRACT: Aperture 94 variance spectrum bias factor is 0.2240037 Oct 14 14:42: EXTRACT: WARNING - Aperture 95: Oct 14 14:42: Total variance weighted spectrum flux is 5882.274 Oct 14 14:42: Total unweighted spectrum flux is 1164.702 Oct 14 14:42: EXTRACT: Aperture 95 variance spectrum bias factor is 0.198002 Oct 14 14:42: EXTRACT: WARNING - Aperture 96: Oct 14 14:42: Total variance weighted spectrum flux is 5003.342 Oct 14 14:42: Total unweighted spectrum flux is 542.6354 Oct 14 14:42: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1084546 Oct 14 14:42: EXTRACT: WARNING - Aperture 97: Oct 14 14:42: Total variance weighted spectrum flux is 7773.085 Oct 14 14:42: Total unweighted spectrum flux is 1071.555 Oct 14 14:42: EXTRACT: Aperture 97 variance spectrum bias factor is 0.1378545 Oct 14 14:42: EXTRACT: WARNING - Aperture 98: Oct 14 14:42: Total variance weighted spectrum flux is 7958.661 Oct 14 14:42: Total unweighted spectrum flux is 1090.455 Oct 14 14:42: EXTRACT: Aperture 98 variance spectrum bias factor is 0.1370149 Oct 14 14:42: EXTRACT: WARNING - Aperture 99: Oct 14 14:42: Total variance weighted spectrum flux is 2751.559 Oct 14 14:42: Total unweighted spectrum flux is -455.878 Oct 14 14:42: Variance spectrum bias factor ignored Oct 14 14:42: EXTRACT: WARNING - Aperture 100: Oct 14 14:42: Total variance weighted spectrum flux is 7648.583 Oct 14 14:42: Total unweighted spectrum flux is 1977.069 Oct 14 14:42: EXTRACT: Aperture 100 variance spectrum bias factor is 0.2584883 Oct 14 14:43: EXTRACT: WARNING - Aperture 101: Oct 14 14:43: Total variance weighted spectrum flux is 4353.37 Oct 14 14:43: Total unweighted spectrum flux is -444.2682 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 102: Oct 14 14:43: Total variance weighted spectrum flux is 6176.097 Oct 14 14:43: Total unweighted spectrum flux is -953.3989 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 103: Oct 14 14:43: Total variance weighted spectrum flux is 5946.411 Oct 14 14:43: Total unweighted spectrum flux is 1085.564 Oct 14 14:43: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1825579 Oct 14 14:43: EXTRACT: WARNING - Aperture 104: Oct 14 14:43: Total variance weighted spectrum flux is 11828.59 Oct 14 14:43: Total unweighted spectrum flux is 1901.651 Oct 14 14:43: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1607674 Oct 14 14:43: EXTRACT: WARNING - Aperture 105: Oct 14 14:43: Total variance weighted spectrum flux is 7355.059 Oct 14 14:43: Total unweighted spectrum flux is 1281.017 Oct 14 14:43: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1741681 Oct 14 14:43: EXTRACT: WARNING - Aperture 106: Oct 14 14:43: Total variance weighted spectrum flux is 4852.824 Oct 14 14:43: Total unweighted spectrum flux is 499.3836 Oct 14 14:43: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1029058 Oct 14 14:43: EXTRACT: WARNING - Aperture 107: Oct 14 14:43: Total variance weighted spectrum flux is 3543.751 Oct 14 14:43: Total unweighted spectrum flux is 336.5675 Oct 14 14:43: EXTRACT: Aperture 107 variance spectrum bias factor is 0.09497494 Oct 14 14:43: EXTRACT: WARNING - Aperture 108: Oct 14 14:43: Total variance weighted spectrum flux is 4517.59 Oct 14 14:43: Total unweighted spectrum flux is 1126.3 Oct 14 14:43: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2493144 Oct 14 14:43: EXTRACT: WARNING - Aperture 109: Oct 14 14:43: Total variance weighted spectrum flux is 10283.14 Oct 14 14:43: Total unweighted spectrum flux is -1557.862 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 110: Oct 14 14:43: Total variance weighted spectrum flux is 4839.843 Oct 14 14:43: Total unweighted spectrum flux is 972.9043 Oct 14 14:43: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2010198 Oct 14 14:43: EXTRACT: WARNING - Aperture 111: Oct 14 14:43: Total variance weighted spectrum flux is 3561.8 Oct 14 14:43: Total unweighted spectrum flux is 261.1496 Oct 14 14:43: EXTRACT: Aperture 111 variance spectrum bias factor is 0.07331956 Oct 14 14:43: EXTRACT: WARNING - Aperture 112: Oct 14 14:43: Total variance weighted spectrum flux is 5162.749 Oct 14 14:43: Total unweighted spectrum flux is 870.4477 Oct 14 14:43: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1686016 Oct 14 14:43: EXTRACT: WARNING - Aperture 113: Oct 14 14:43: Total variance weighted spectrum flux is 5689.807 Oct 14 14:43: Total unweighted spectrum flux is 970.5201 Oct 14 14:43: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1705717 Oct 14 14:43: EXTRACT: WARNING - Aperture 114: Oct 14 14:43: Total variance weighted spectrum flux is 1687.061 Oct 14 14:43: Total unweighted spectrum flux is -284.5897 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 115: Oct 14 14:43: Total variance weighted spectrum flux is -524.147 Oct 14 14:43: Total unweighted spectrum flux is -1268.104 Oct 14 14:43: EXTRACT: Aperture 115 variance spectrum bias factor is 2.419368 Resampling the object by a factor of 4 in the y direction... 141014.0038 Magnify image 141014.0038 to image 141014.0038. 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 141014.0038,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141014.0038 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141014.0038 -> noscat141014.0038 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Oct 14 14:43: EXTRACT: WARNING - Aperture 1: Oct 14 14:43: Total variance weighted spectrum flux is 7595.846 Oct 14 14:43: Total unweighted spectrum flux is 207.3266 Oct 14 14:43: EXTRACT: Aperture 1 variance spectrum bias factor is 0.02729474 Oct 14 14:43: EXTRACT: WARNING - Aperture 84: Oct 14 14:43: Total variance weighted spectrum flux is 9744.879 Oct 14 14:43: Total unweighted spectrum flux is 1276.947 Oct 14 14:43: EXTRACT: Aperture 84 variance spectrum bias factor is 0.1310377 Oct 14 14:43: EXTRACT: WARNING - Aperture 86: Oct 14 14:43: Total variance weighted spectrum flux is 6977.514 Oct 14 14:43: Total unweighted spectrum flux is 2915.152 Oct 14 14:43: EXTRACT: Aperture 86 variance spectrum bias factor is 0.4177924 Oct 14 14:43: EXTRACT: WARNING - Aperture 87: Oct 14 14:43: Total variance weighted spectrum flux is 5948.043 Oct 14 14:43: Total unweighted spectrum flux is 395.3175 Oct 14 14:43: EXTRACT: Aperture 87 variance spectrum bias factor is 0.06646178 Oct 14 14:43: EXTRACT: WARNING - Aperture 88: Oct 14 14:43: Total variance weighted spectrum flux is 9708.405 Oct 14 14:43: Total unweighted spectrum flux is 3110.034 Oct 14 14:43: EXTRACT: Aperture 88 variance spectrum bias factor is 0.3203445 Oct 14 14:43: EXTRACT: WARNING - Aperture 89: Oct 14 14:43: Total variance weighted spectrum flux is 3792.909 Oct 14 14:43: Total unweighted spectrum flux is 1313.144 Oct 14 14:43: EXTRACT: Aperture 89 variance spectrum bias factor is 0.3462102 Oct 14 14:43: EXTRACT: WARNING - Aperture 90: Oct 14 14:43: Total variance weighted spectrum flux is 3442.254 Oct 14 14:43: Total unweighted spectrum flux is 632.3736 Oct 14 14:43: EXTRACT: Aperture 90 variance spectrum bias factor is 0.1837092 Oct 14 14:43: EXTRACT: WARNING - Aperture 91: Oct 14 14:43: Total variance weighted spectrum flux is 8977.075 Oct 14 14:43: Total unweighted spectrum flux is 2031.458 Oct 14 14:43: EXTRACT: Aperture 91 variance spectrum bias factor is 0.226294 Oct 14 14:43: EXTRACT: WARNING - Aperture 92: Oct 14 14:43: Total variance weighted spectrum flux is 3422.932 Oct 14 14:43: Total unweighted spectrum flux is 628.4292 Oct 14 14:43: EXTRACT: Aperture 92 variance spectrum bias factor is 0.1835938 Oct 14 14:43: EXTRACT: WARNING - Aperture 93: Oct 14 14:43: Total variance weighted spectrum flux is 9760.083 Oct 14 14:43: Total unweighted spectrum flux is 2313.609 Oct 14 14:43: EXTRACT: Aperture 93 variance spectrum bias factor is 0.237048 Oct 14 14:43: EXTRACT: WARNING - Aperture 94: Oct 14 14:43: Total variance weighted spectrum flux is 9345.94 Oct 14 14:43: Total unweighted spectrum flux is 1022.617 Oct 14 14:43: EXTRACT: Aperture 94 variance spectrum bias factor is 0.1094183 Oct 14 14:43: EXTRACT: WARNING - Aperture 95: Oct 14 14:43: Total variance weighted spectrum flux is 3211.21 Oct 14 14:43: Total unweighted spectrum flux is 845.7899 Oct 14 14:43: EXTRACT: Aperture 95 variance spectrum bias factor is 0.2633866 Oct 14 14:43: EXTRACT: WARNING - Aperture 96: Oct 14 14:43: Total variance weighted spectrum flux is 5047.54 Oct 14 14:43: Total unweighted spectrum flux is 577.9155 Oct 14 14:43: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1144945 Oct 14 14:43: EXTRACT: WARNING - Aperture 97: Oct 14 14:43: Total variance weighted spectrum flux is 5404.782 Oct 14 14:43: Total unweighted spectrum flux is 1374.337 Oct 14 14:43: EXTRACT: Aperture 97 variance spectrum bias factor is 0.2542817 Oct 14 14:43: EXTRACT: WARNING - Aperture 98: Oct 14 14:43: Total variance weighted spectrum flux is 5203.975 Oct 14 14:43: Total unweighted spectrum flux is 647.2642 Oct 14 14:43: EXTRACT: Aperture 98 variance spectrum bias factor is 0.1243788 Oct 14 14:43: EXTRACT: WARNING - Aperture 99: Oct 14 14:43: Total variance weighted spectrum flux is 4779.546 Oct 14 14:43: Total unweighted spectrum flux is 141.8121 Oct 14 14:43: EXTRACT: Aperture 99 variance spectrum bias factor is 0.02967062 Oct 14 14:43: EXTRACT: WARNING - Aperture 100: Oct 14 14:43: Total variance weighted spectrum flux is 5125.229 Oct 14 14:43: Total unweighted spectrum flux is -2.455987 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 101: Oct 14 14:43: Total variance weighted spectrum flux is 7836.901 Oct 14 14:43: Total unweighted spectrum flux is 900.0502 Oct 14 14:43: EXTRACT: Aperture 101 variance spectrum bias factor is 0.1148477 Oct 14 14:43: EXTRACT: WARNING - Aperture 102: Oct 14 14:43: Total variance weighted spectrum flux is 4680.246 Oct 14 14:43: Total unweighted spectrum flux is -724.9289 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 103: Oct 14 14:43: Total variance weighted spectrum flux is 7519.419 Oct 14 14:43: Total unweighted spectrum flux is -1450.695 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 104: Oct 14 14:43: Total variance weighted spectrum flux is 5011.724 Oct 14 14:43: Total unweighted spectrum flux is 478.9443 Oct 14 14:43: EXTRACT: Aperture 104 variance spectrum bias factor is 0.09556478 Oct 14 14:43: EXTRACT: WARNING - Aperture 105: Oct 14 14:43: Total variance weighted spectrum flux is 6631.07 Oct 14 14:43: Total unweighted spectrum flux is -51.19449 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 106: Oct 14 14:43: Total variance weighted spectrum flux is 4124.433 Oct 14 14:43: Total unweighted spectrum flux is -39.9739 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 107: Oct 14 14:43: Total variance weighted spectrum flux is 6134.226 Oct 14 14:43: Total unweighted spectrum flux is 919.8834 Oct 14 14:43: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1499592 Oct 14 14:43: EXTRACT: WARNING - Aperture 108: Oct 14 14:43: Total variance weighted spectrum flux is 6645.019 Oct 14 14:43: Total unweighted spectrum flux is 659.8492 Oct 14 14:43: EXTRACT: Aperture 108 variance spectrum bias factor is 0.09929983 Oct 14 14:43: EXTRACT: WARNING - Aperture 109: Oct 14 14:43: Total variance weighted spectrum flux is 3504.345 Oct 14 14:43: Total unweighted spectrum flux is 441.7658 Oct 14 14:43: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1260623 Oct 14 14:43: EXTRACT: WARNING - Aperture 110: Oct 14 14:43: Total variance weighted spectrum flux is 2458.094 Oct 14 14:43: Total unweighted spectrum flux is -153.0941 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 111: Oct 14 14:43: Total variance weighted spectrum flux is 1863.541 Oct 14 14:43: Total unweighted spectrum flux is -674.7342 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 112: Oct 14 14:43: Total variance weighted spectrum flux is 6151.384 Oct 14 14:43: Total unweighted spectrum flux is -928.9639 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 113: Oct 14 14:43: Total variance weighted spectrum flux is 1518.089 Oct 14 14:43: Total unweighted spectrum flux is -123.042 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 114: Oct 14 14:43: Total variance weighted spectrum flux is 5099.979 Oct 14 14:43: Total unweighted spectrum flux is -179.7915 Oct 14 14:43: Variance spectrum bias factor ignored Oct 14 14:43: EXTRACT: WARNING - Aperture 115: Oct 14 14:43: Total variance weighted spectrum flux is 356.763 Oct 14 14:43: Total unweighted spectrum flux is -367.6359 Oct 14 14:43: Variance spectrum bias factor ignored 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.0028.ec.fits,REFSPEC1 = EchelleThAr.0028.ec.fits EchelleThAr.0028.ec.fits updated add EchelleThAr.0032.ec.fits,REFSPEC1 = EchelleThAr.0032.ec.fits EchelleThAr.0032.ec.fits updated add EchelleThAr.0036.ec.fits,REFSPEC1 = EchelleThAr.0036.ec.fits EchelleThAr.0036.ec.fits updated add EchelleThAr.0039.ec.fits,REFSPEC1 = EchelleThAr.0039.ec.fits EchelleThAr.0039.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 -> 00:37:22.976054 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 00:40:14.126756 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 00:43:17.648779 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 00:46:20.210283 EchelleThAr.0020.ec.fits updated add EchelleThAr.0024.ec.fits,UTMIDDLE = 0 EchelleThAr.0024.ec.fits updated EchelleThAr.0024.ec.fits,UTMIDDLE: 0 -> 02:22:04.683793 EchelleThAr.0024.ec.fits updated add EchelleThAr.0028.ec.fits,UTMIDDLE = 0 EchelleThAr.0028.ec.fits updated EchelleThAr.0028.ec.fits,UTMIDDLE: 0 -> 03:44:22.153812 EchelleThAr.0028.ec.fits updated add EchelleThAr.0032.ec.fits,UTMIDDLE = 0 EchelleThAr.0032.ec.fits updated EchelleThAr.0032.ec.fits,UTMIDDLE: 0 -> 04:56:15.622765 EchelleThAr.0032.ec.fits updated add EchelleThAr.0036.ec.fits,UTMIDDLE = 0 EchelleThAr.0036.ec.fits updated EchelleThAr.0036.ec.fits,UTMIDDLE: 0 -> 06:13:06.426232 EchelleThAr.0036.ec.fits updated add EchelleThAr.0039.ec.fits,UTMIDDLE = 0 EchelleThAr.0039.ec.fits updated EchelleThAr.0039.ec.fits,UTMIDDLE: 0 -> 07:10:28.813250 EchelleThAr.0039.ec.fits updated add 141014.0021.ec.fits,UTMIDDLE = 0 141014.0021.ec.fits updated 141014.0021.ec.fits,UTMIDDLE: 0 -> 01:16:28.052856 141014.0021.ec.fits updated add 141014.0022.ec.fits,UTMIDDLE = 0 141014.0022.ec.fits updated 141014.0022.ec.fits,UTMIDDLE: 0 -> 01:40:19.400208 141014.0022.ec.fits updated add 141014.0023.ec.fits,UTMIDDLE = 0 141014.0023.ec.fits updated 141014.0023.ec.fits,UTMIDDLE: 0 -> 02:04:32.849176 141014.0023.ec.fits updated add 141014.0025.ec.fits,UTMIDDLE = 0 141014.0025.ec.fits updated 141014.0025.ec.fits,UTMIDDLE: 0 -> 02:40:52.658168 141014.0025.ec.fits updated add 141014.0026.ec.fits,UTMIDDLE = 0 141014.0026.ec.fits updated 141014.0026.ec.fits,UTMIDDLE: 0 -> 03:14:26.544174 141014.0026.ec.fits updated add 141014.0027.ec.fits,UTMIDDLE = 0 141014.0027.ec.fits updated 141014.0027.ec.fits,UTMIDDLE: 0 -> 03:36:15.719224 141014.0027.ec.fits updated add 141014.0029.ec.fits,UTMIDDLE = 0 141014.0029.ec.fits updated 141014.0029.ec.fits,UTMIDDLE: 0 -> 03:53:18.757990 141014.0029.ec.fits updated add 141014.0030.ec.fits,UTMIDDLE = 0 141014.0030.ec.fits updated 141014.0030.ec.fits,UTMIDDLE: 0 -> 04:16:45.518704 141014.0030.ec.fits updated add 141014.0031.ec.fits,UTMIDDLE = 0 141014.0031.ec.fits updated 141014.0031.ec.fits,UTMIDDLE: 0 -> 04:45:38.583850 141014.0031.ec.fits updated add 141014.0033.ec.fits,UTMIDDLE = 0 141014.0033.ec.fits updated 141014.0033.ec.fits,UTMIDDLE: 0 -> 05:13:07.127158 141014.0033.ec.fits updated add 141014.0034.ec.fits,UTMIDDLE = 0 141014.0034.ec.fits updated 141014.0034.ec.fits,UTMIDDLE: 0 -> 05:38:05.007846 141014.0034.ec.fits updated add 141014.0035.ec.fits,UTMIDDLE = 0 141014.0035.ec.fits updated 141014.0035.ec.fits,UTMIDDLE: 0 -> 05:59:26.085080 141014.0035.ec.fits updated add 141014.0037.ec.fits,UTMIDDLE = 0 141014.0037.ec.fits updated 141014.0037.ec.fits,UTMIDDLE: 0 -> 06:26:28.527039 141014.0037.ec.fits updated add 141014.0038.ec.fits,UTMIDDLE = 0 141014.0038.ec.fits updated 141014.0038.ec.fits,UTMIDDLE: 0 -> 06:59:50.168949 141014.0038.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 141014.0021.ec.fits 2456944.55310 2456944.55394 2456944 141014.0022.ec.fits 2456944.56967 2456944.57030 2456944 141014.0023.ec.fits 2456944.58649 2456944.58774 2456944 141014.0025.ec.fits 2456944.61172 2456944.61196 2456944 141014.0026.ec.fits 2456944.63503 2456944.63609 2456944 141014.0027.ec.fits 2456944.65018 2456944.65093 2456944 141014.0029.ec.fits 2456944.66202 2456944.66247 2456944 141014.0030.ec.fits 2456944.67830 2456944.67936 2456944 141014.0031.ec.fits 2456944.69836 2456944.69968 2456944 141014.0033.ec.fits 2456944.71744 2456944.71818 2456944 141014.0034.ec.fits 2456944.73478 2456944.73589 2456944 141014.0035.ec.fits 2456944.74961 2456944.75049 2456944 141014.0037.ec.fits 2456944.76839 2456944.76895 2456944 141014.0038.ec.fits 2456944.79155 2456944.79225 2456944 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 14:43:52 14-Oct-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1046/2055 1046/1046 -1.59 11.7 2.06E-5 0.0129 EchelleThAr.0018.ec 1920/2055 1920/1920 -1.51 11.1 1.95E-5 0.0106 EchelleThAr.0019.ec 1905/2055 1905/1905 -1.43 10.5 1.85E-5 0.0105 EchelleThAr.0020.ec 1886/2055 1886/1886 -1.37 10.1 1.78E-5 0.0107 EchelleThAr.0024.ec 1917/2055 1917/1917 -1.51 11.1 1.96E-5 0.0111 EchelleThAr.0028.ec 1975/2055 1975/1975 -1.54 11.3 1.99E-5 0.00991 EchelleThAr.0032.ec 1990/2055 1990/1990 -1.58 11.6 2.04E-5 0.01 EchelleThAr.0036.ec 1964/2055 1964/1964 -1.61 11.8 2.08E-5 0.00944 EchelleThAr.0039.ec 1939/2055 1939/1939 -1.66 12.2 2.15E-5 0.00999 [141014.0021.ec] refspec1='EchelleThAr.0020.ec 0.6852901' [141014.0021.ec] refspec2='EchelleThAr.0024.ec 0.31470987' [141014.0022.ec] refspec1='EchelleThAr.0020.ec 0.43612066' [141014.0022.ec] refspec2='EchelleThAr.0024.ec 0.56387931' [141014.0023.ec] refspec1='EchelleThAr.0020.ec 0.18310374' [141014.0023.ec] refspec2='EchelleThAr.0024.ec 0.81689626' [141014.0025.ec] refspec1='EchelleThAr.0024.ec 0.77154809' [141014.0025.ec] refspec2='EchelleThAr.0028.ec 0.22845189' [141014.0026.ec] refspec1='EchelleThAr.0024.ec 0.36366999' [141014.0026.ec] refspec2='EchelleThAr.0028.ec 0.63633001' [141014.0027.ec] refspec1='EchelleThAr.0024.ec 0.098518997' [141014.0027.ec] refspec2='EchelleThAr.0028.ec 0.90148103' [141014.0029.ec] refspec1='EchelleThAr.0028.ec 0.87559801' [141014.0029.ec] refspec2='EchelleThAr.0032.ec 0.124402' [141014.0030.ec] refspec1='EchelleThAr.0028.ec 0.54946589' [141014.0030.ec] refspec2='EchelleThAr.0032.ec 0.45053411' [141014.0031.ec] refspec1='EchelleThAr.0028.ec 0.14768599' [141014.0031.ec] refspec2='EchelleThAr.0032.ec 0.852314' [141014.0033.ec] refspec1='EchelleThAr.0032.ec 0.78062296' [141014.0033.ec] refspec2='EchelleThAr.0036.ec 0.21937704' [141014.0034.ec] refspec1='EchelleThAr.0032.ec 0.4557597' [141014.0034.ec] refspec2='EchelleThAr.0036.ec 0.5442403' [141014.0035.ec] refspec1='EchelleThAr.0032.ec 0.17791718' [141014.0035.ec] refspec2='EchelleThAr.0036.ec 0.82208282' [141014.0037.ec] refspec1='EchelleThAr.0036.ec 0.76699287' [141014.0037.ec] refspec2='EchelleThAr.0039.ec 0.23300716' [141014.0038.ec] refspec1='EchelleThAr.0036.ec 0.18552367' [141014.0038.ec] refspec2='EchelleThAr.0039.ec 0.81447631' [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.0028.ec] refspec1='EchelleThAr.0028.ec' [EchelleThAr.0032.ec] refspec1='EchelleThAr.0032.ec' [EchelleThAr.0036.ec] refspec1='EchelleThAr.0036.ec' [EchelleThAr.0039.ec] refspec1='EchelleThAr.0039.ec' 141014.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.6852901' 141014.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.31470987' 141014.0021.ec.fits: ap = 1, w1 = 10811.55, w2 = 10583.37, dw = -0.13829, nw = 1651 141014.0021.ec.fits: ap = 2, w1 = 10611.35, w2 = 10387.4, dw = -0.13573, nw = 1651 141014.0021.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.56, dw = -0.13326, nw = 1651 141014.0021.ec.fits: ap = 4, w1 = 10232.41, w2 = 10016.46, dw = -0.13088, nw = 1651 141014.0021.ec.fits: ap = 5, w1 = 10052.91, w2 = 9840.752, dw = -0.12858, nw = 1651 141014.0021.ec.fits: ap = 6, w1 = 9879.596, w2 = 9671.101, dw = -0.12636, nw = 1651 141014.0021.ec.fits: ap = 7, w1 = 9712.161, w2 = 9507.202, dw = -0.12422, nw = 1651 141014.0021.ec.fits: ap = 8, w1 = 9550.305, w2 = 9348.764, dw = -0.12215, nw = 1651 141014.0021.ec.fits: ap = 9, w1 = 9393.756, w2 = 9195.521, dw = -0.12014, nw = 1651 141014.0021.ec.fits: ap = 10, w1 = 9242.257, w2 = 9047.223, dw = -0.1182, nw = 1651 141014.0021.ec.fits: ap = 11, w1 = 9095.567, w2 = 8903.631, dw = -0.11632, nw = 1651 141014.0021.ec.fits: ap = 12, w1 = 8953.461, w2 = 8764.526, dw = -0.11451, nw = 1651 141014.0021.ec.fits: ap = 13, w1 = 8815.727, w2 = 8629.702, dw = -0.11274, nw = 1651 141014.0021.ec.fits: ap = 14, w1 = 8682.167, w2 = 8498.963, dw = -0.11103, nw = 1651 141014.0021.ec.fits: ap = 15, w1 = 8552.594, w2 = 8372.126, dw = -0.10937, nw = 1651 141014.0021.ec.fits: ap = 16, w1 = 8426.831, w2 = 8249.02, dw = -0.10776, nw = 1651 141014.0021.ec.fits: ap = 17, w1 = 8304.714, w2 = 8129.482, dw = -0.1062, nw = 1651 141014.0021.ec.fits: ap = 18, w1 = 8186.086, w2 = 8013.359, dw = -0.10468, nw = 1651 141014.0021.ec.fits: ap = 19, w1 = 8070.799, w2 = 7900.507, dw = -0.10321, nw = 1651 141014.0021.ec.fits: ap = 20, w1 = 7958.714, w2 = 7790.79, dw = -0.10177, nw = 1651 141014.0021.ec.fits: ap = 21, w1 = 7849.701, w2 = 7684.079, dw = -0.10038, nw = 1651 141014.0021.ec.fits: ap = 22, w1 = 7743.633, w2 = 7580.252, dw = -0.09902, nw = 1651 141014.0021.ec.fits: ap = 23, w1 = 7640.395, w2 = 7479.193, dw = -0.0977, nw = 1651 141014.0021.ec.fits: ap = 24, w1 = 7539.872, w2 = 7380.794, dw = -0.09641, nw = 1651 141014.0021.ec.fits: ap = 25, w1 = 7441.961, w2 = 7284.951, dw = -0.09516, nw = 1651 141014.0021.ec.fits: ap = 26, w1 = 7346.561, w2 = 7191.565, dw = -0.09394, nw = 1651 141014.0021.ec.fits: ap = 27, w1 = 7253.575, w2 = 7100.544, dw = -0.09275, nw = 1651 141014.0021.ec.fits: ap = 28, w1 = 7162.915, w2 = 7011.798, dw = -0.09159, nw = 1651 141014.0021.ec.fits: ap = 29, w1 = 7074.492, w2 = 6925.243, dw = -0.09045, nw = 1651 141014.0021.ec.fits: ap = 30, w1 = 6988.227, w2 = 6840.8, dw = -0.08935, nw = 1651 141014.0021.ec.fits: ap = 31, w1 = 6904.04, w2 = 6758.391, dw = -0.08827, nw = 1651 141014.0021.ec.fits: ap = 32, w1 = 6821.858, w2 = 6677.945, dw = -0.08722, nw = 1651 141014.0021.ec.fits: ap = 33, w1 = 6741.609, w2 = 6599.391, dw = -0.08619, nw = 1651 141014.0021.ec.fits: ap = 34, w1 = 6663.227, w2 = 6522.664, dw = -0.08519, nw = 1651 141014.0021.ec.fits: ap = 35, w1 = 6586.647, w2 = 6447.702, dw = -0.08421, nw = 1651 141014.0021.ec.fits: ap = 36, w1 = 6511.807, w2 = 6374.442, dw = -0.08325, nw = 1651 141014.0021.ec.fits: ap = 37, w1 = 6438.649, w2 = 6302.83, dw = -0.08231, nw = 1651 141014.0021.ec.fits: ap = 38, w1 = 6367.117, w2 = 6232.809, dw = -0.0814, nw = 1651 141014.0021.ec.fits: ap = 39, w1 = 6297.157, w2 = 6164.326, dw = -0.0805, nw = 1651 141014.0021.ec.fits: ap = 40, w1 = 6228.718, w2 = 6097.333, dw = -0.07963, nw = 1651 141014.0021.ec.fits: ap = 41, w1 = 6161.751, w2 = 6031.78, dw = -0.07877, nw = 1651 141014.0021.ec.fits: ap = 42, w1 = 6096.209, w2 = 5967.623, dw = -0.07793, nw = 1651 141014.0021.ec.fits: ap = 43, w1 = 6032.047, w2 = 5904.816, dw = -0.07711, nw = 1651 141014.0021.ec.fits: ap = 44, w1 = 5969.221, w2 = 5843.317, dw = -0.07631, nw = 1651 141014.0021.ec.fits: ap = 45, w1 = 5907.691, w2 = 5783.087, dw = -0.07552, nw = 1651 141014.0021.ec.fits: ap = 46, w1 = 5847.417, w2 = 5724.086, dw = -0.07475, nw = 1651 141014.0021.ec.fits: ap = 47, w1 = 5788.36, w2 = 5666.277, dw = -0.07399, nw = 1651 141014.0021.ec.fits: ap = 48, w1 = 5730.485, w2 = 5609.624, dw = -0.07325, nw = 1651 141014.0021.ec.fits: ap = 49, w1 = 5673.756, w2 = 5554.093, dw = -0.07252, nw = 1651 141014.0021.ec.fits: ap = 50, w1 = 5618.139, w2 = 5499.651, dw = -0.07181, nw = 1651 141014.0021.ec.fits: ap = 51, w1 = 5563.602, w2 = 5446.267, dw = -0.07111, nw = 1651 141014.0021.ec.fits: ap = 52, w1 = 5510.114, w2 = 5393.909, dw = -0.07043, nw = 1651 141014.0021.ec.fits: ap = 53, w1 = 5457.645, w2 = 5342.548, dw = -0.06976, nw = 1651 141014.0021.ec.fits: ap = 54, w1 = 5406.166, w2 = 5292.157, dw = -0.0691, nw = 1651 141014.0021.ec.fits: ap = 55, w1 = 5355.649, w2 = 5242.707, dw = -0.06845, nw = 1651 141014.0021.ec.fits: ap = 56, w1 = 5306.068, w2 = 5194.174, dw = -0.06781, nw = 1651 141014.0021.ec.fits: ap = 57, w1 = 5257.396, w2 = 5146.531, dw = -0.06719, nw = 1651 141014.0021.ec.fits: ap = 58, w1 = 5209.609, w2 = 5099.754, dw = -0.06658, nw = 1651 141014.0021.ec.fits: ap = 59, w1 = 5162.684, w2 = 5053.82, dw = -0.06598, nw = 1651 141014.0021.ec.fits: ap = 60, w1 = 5116.596, w2 = 5008.706, dw = -0.06539, nw = 1651 141014.0021.ec.fits: ap = 61, w1 = 5071.324, w2 = 4964.392, dw = -0.06481, nw = 1651 141014.0021.ec.fits: ap = 62, w1 = 5026.847, w2 = 4920.854, dw = -0.06424, nw = 1651 141014.0021.ec.fits: ap = 63, w1 = 4983.143, w2 = 4878.074, dw = -0.06368, nw = 1651 141014.0021.ec.fits: ap = 64, w1 = 4940.192, w2 = 4836.031, dw = -0.06313, nw = 1651 141014.0021.ec.fits: ap = 65, w1 = 4897.976, w2 = 4794.708, dw = -0.06259, nw = 1651 141014.0021.ec.fits: ap = 66, w1 = 4856.475, w2 = 4754.084, dw = -0.06205, nw = 1651 141014.0021.ec.fits: ap = 67, w1 = 4815.671, w2 = 4714.144, dw = -0.06153, nw = 1651 141014.0021.ec.fits: ap = 68, w1 = 4775.548, w2 = 4674.869, dw = -0.06102, nw = 1651 141014.0021.ec.fits: ap = 69, w1 = 4736.088, w2 = 4636.243, dw = -0.06051, nw = 1651 141014.0021.ec.fits: ap = 70, w1 = 4697.274, w2 = 4598.251, dw = -0.06001, nw = 1651 141014.0021.ec.fits: ap = 71, w1 = 4659.092, w2 = 4560.876, dw = -0.05952, nw = 1651 141014.0021.ec.fits: ap = 72, w1 = 4621.525, w2 = 4524.104, dw = -0.05904, nw = 1651 141014.0021.ec.fits: ap = 73, w1 = 4584.56, w2 = 4487.921, dw = -0.05857, nw = 1651 141014.0021.ec.fits: ap = 74, w1 = 4548.181, w2 = 4452.312, dw = -0.0581, nw = 1651 141014.0021.ec.fits: ap = 75, w1 = 4512.374, w2 = 4417.264, dw = -0.05764, nw = 1651 141014.0021.ec.fits: ap = 76, w1 = 4477.128, w2 = 4382.763, dw = -0.05719, nw = 1651 141014.0021.ec.fits: ap = 77, w1 = 4442.427, w2 = 4348.797, dw = -0.05675, nw = 1651 141014.0021.ec.fits: ap = 78, w1 = 4408.26, w2 = 4315.354, dw = -0.05631, nw = 1651 141014.0021.ec.fits: ap = 79, w1 = 4374.615, w2 = 4282.421, dw = -0.05588, nw = 1651 141014.0021.ec.fits: ap = 80, w1 = 4341.48, w2 = 4249.988, dw = -0.05545, nw = 1651 141014.0021.ec.fits: ap = 81, w1 = 4308.843, w2 = 4218.042, dw = -0.05503, nw = 1651 141014.0021.ec.fits: ap = 82, w1 = 4276.692, w2 = 4186.573, dw = -0.05462, nw = 1651 141014.0021.ec.fits: ap = 83, w1 = 4245.017, w2 = 4155.57, dw = -0.05421, nw = 1651 141014.0021.ec.fits: ap = 84, w1 = 4213.809, w2 = 4125.023, dw = -0.05381, nw = 1651 141014.0021.ec.fits: ap = 85, w1 = 4183.055, w2 = 4094.921, dw = -0.05341, nw = 1651 141014.0021.ec.fits: ap = 86, w1 = 4152.748, w2 = 4065.256, dw = -0.05303, nw = 1651 141014.0021.ec.fits: ap = 87, w1 = 4122.876, w2 = 4036.018, dw = -0.05264, nw = 1651 141014.0021.ec.fits: ap = 88, w1 = 4093.43, w2 = 4007.197, dw = -0.05226, nw = 1651 141014.0021.ec.fits: ap = 89, w1 = 4064.402, w2 = 3978.786, dw = -0.05189, nw = 1651 141014.0021.ec.fits: ap = 90, w1 = 4035.783, w2 = 3950.774, dw = -0.05152, nw = 1651 141014.0021.ec.fits: ap = 91, w1 = 4007.564, w2 = 3923.154, dw = -0.05116, nw = 1651 141014.0021.ec.fits: ap = 92, w1 = 3979.736, w2 = 3895.917, dw = -0.0508, nw = 1651 141014.0021.ec.fits: ap = 93, w1 = 3952.292, w2 = 3869.056, dw = -0.05045, nw = 1651 141014.0021.ec.fits: ap = 94, w1 = 3925.223, w2 = 3842.563, dw = -0.0501, nw = 1651 141014.0021.ec.fits: ap = 95, w1 = 3898.523, w2 = 3816.43, dw = -0.04975, nw = 1651 141014.0021.ec.fits: ap = 96, w1 = 3872.183, w2 = 3790.65, dw = -0.04941, nw = 1651 141014.0021.ec.fits: ap = 97, w1 = 3846.196, w2 = 3765.216, dw = -0.04908, nw = 1651 141014.0021.ec.fits: ap = 98, w1 = 3820.556, w2 = 3740.121, dw = -0.04875, nw = 1651 141014.0021.ec.fits: ap = 99, w1 = 3795.255, w2 = 3715.358, dw = -0.04842, nw = 1651 141014.0021.ec.fits: ap = 100, w1 = 3770.286, w2 = 3690.921, dw = -0.0481, nw = 1651 141014.0021.ec.fits: ap = 101, w1 = 3745.643, w2 = 3666.804, dw = -0.04778, nw = 1651 141014.0021.ec.fits: ap = 102, w1 = 3721.32, w2 = 3642.999, dw = -0.04747, nw = 1651 141014.0021.ec.fits: ap = 103, w1 = 3697.311, w2 = 3619.501, dw = -0.04716, nw = 1651 141014.0021.ec.fits: ap = 104, w1 = 3673.608, w2 = 3596.305, dw = -0.04685, nw = 1651 141014.0021.ec.fits: ap = 105, w1 = 3650.208, w2 = 3573.403, dw = -0.04655, nw = 1651 141014.0021.ec.fits: ap = 106, w1 = 3627.103, w2 = 3550.791, dw = -0.04625, nw = 1651 141014.0021.ec.fits: ap = 107, w1 = 3604.288, w2 = 3528.464, dw = -0.04595, nw = 1651 141014.0021.ec.fits: ap = 108, w1 = 3581.758, w2 = 3506.415, dw = -0.04566, nw = 1651 141014.0021.ec.fits: ap = 109, w1 = 3559.508, w2 = 3484.64, dw = -0.04537, nw = 1651 141014.0021.ec.fits: ap = 110, w1 = 3537.532, w2 = 3463.134, dw = -0.04509, nw = 1651 141014.0021.ec.fits: ap = 111, w1 = 3515.825, w2 = 3441.891, dw = -0.04481, nw = 1651 141014.0021.ec.fits: ap = 112, w1 = 3494.382, w2 = 3420.907, dw = -0.04453, nw = 1651 141014.0021.ec.fits: ap = 113, w1 = 3473.198, w2 = 3400.178, dw = -0.04425, nw = 1651 141014.0021.ec.fits: ap = 114, w1 = 3452.269, w2 = 3379.697, dw = -0.04398, nw = 1651 141014.0021.ec.fits: ap = 115, w1 = 3431.591, w2 = 3359.462, dw = -0.04371, nw = 1651 141014.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.43612066' 141014.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.56387931' 141014.0022.ec.fits: ap = 1, w1 = 10811.56, w2 = 10583.38, dw = -0.13829, nw = 1651 141014.0022.ec.fits: ap = 2, w1 = 10611.36, w2 = 10387.41, dw = -0.13573, nw = 1651 141014.0022.ec.fits: ap = 3, w1 = 10418.44, w2 = 10198.56, dw = -0.13326, nw = 1651 141014.0022.ec.fits: ap = 4, w1 = 10232.42, w2 = 10016.46, dw = -0.13088, nw = 1651 141014.0022.ec.fits: ap = 5, w1 = 10052.91, w2 = 9840.753, dw = -0.12858, nw = 1651 141014.0022.ec.fits: ap = 6, w1 = 9879.601, w2 = 9671.101, dw = -0.12636, nw = 1651 141014.0022.ec.fits: ap = 7, w1 = 9712.163, w2 = 9507.2, dw = -0.12422, nw = 1651 141014.0022.ec.fits: ap = 8, w1 = 9550.306, w2 = 9348.762, dw = -0.12215, nw = 1651 141014.0022.ec.fits: ap = 9, w1 = 9393.756, w2 = 9195.519, dw = -0.12014, nw = 1651 141014.0022.ec.fits: ap = 10, w1 = 9242.256, w2 = 9047.219, dw = -0.1182, nw = 1651 141014.0022.ec.fits: ap = 11, w1 = 9095.565, w2 = 8903.627, dw = -0.11633, nw = 1651 141014.0022.ec.fits: ap = 12, w1 = 8953.459, w2 = 8764.522, dw = -0.11451, nw = 1651 141014.0022.ec.fits: ap = 13, w1 = 8815.725, w2 = 8629.696, dw = -0.11274, nw = 1651 141014.0022.ec.fits: ap = 14, w1 = 8682.164, w2 = 8498.957, dw = -0.11103, nw = 1651 141014.0022.ec.fits: ap = 15, w1 = 8552.59, w2 = 8372.12, dw = -0.10938, nw = 1651 141014.0022.ec.fits: ap = 16, w1 = 8426.828, w2 = 8249.013, dw = -0.10777, nw = 1651 141014.0022.ec.fits: ap = 17, w1 = 8304.71, w2 = 8129.475, dw = -0.1062, nw = 1651 141014.0022.ec.fits: ap = 18, w1 = 8186.082, w2 = 8013.352, dw = -0.10468, nw = 1651 141014.0022.ec.fits: ap = 19, w1 = 8070.795, w2 = 7900.5, dw = -0.10321, nw = 1651 141014.0022.ec.fits: ap = 20, w1 = 7958.71, w2 = 7790.783, dw = -0.10177, nw = 1651 141014.0022.ec.fits: ap = 21, w1 = 7849.697, w2 = 7684.071, dw = -0.10038, nw = 1651 141014.0022.ec.fits: ap = 22, w1 = 7743.63, w2 = 7580.244, dw = -0.09902, nw = 1651 141014.0022.ec.fits: ap = 23, w1 = 7640.391, w2 = 7479.186, dw = -0.0977, nw = 1651 141014.0022.ec.fits: ap = 24, w1 = 7539.869, w2 = 7380.787, dw = -0.09641, nw = 1651 141014.0022.ec.fits: ap = 25, w1 = 7441.958, w2 = 7284.944, dw = -0.09516, nw = 1651 141014.0022.ec.fits: ap = 26, w1 = 7346.557, w2 = 7191.558, dw = -0.09394, nw = 1651 141014.0022.ec.fits: ap = 27, w1 = 7253.572, w2 = 7100.537, dw = -0.09275, nw = 1651 141014.0022.ec.fits: ap = 28, w1 = 7162.912, w2 = 7011.791, dw = -0.09159, nw = 1651 141014.0022.ec.fits: ap = 29, w1 = 7074.49, w2 = 6925.236, dw = -0.09046, nw = 1651 141014.0022.ec.fits: ap = 30, w1 = 6988.225, w2 = 6840.793, dw = -0.08935, nw = 1651 141014.0022.ec.fits: ap = 31, w1 = 6904.038, w2 = 6758.384, dw = -0.08827, nw = 1651 141014.0022.ec.fits: ap = 32, w1 = 6821.856, w2 = 6677.938, dw = -0.08722, nw = 1651 141014.0022.ec.fits: ap = 33, w1 = 6741.608, w2 = 6599.384, dw = -0.0862, nw = 1651 141014.0022.ec.fits: ap = 34, w1 = 6663.226, w2 = 6522.658, dw = -0.08519, nw = 1651 141014.0022.ec.fits: ap = 35, w1 = 6586.646, w2 = 6447.695, dw = -0.08421, nw = 1651 141014.0022.ec.fits: ap = 36, w1 = 6511.806, w2 = 6374.436, dw = -0.08325, nw = 1651 141014.0022.ec.fits: ap = 37, w1 = 6438.648, w2 = 6302.824, dw = -0.08232, nw = 1651 141014.0022.ec.fits: ap = 38, w1 = 6367.116, w2 = 6232.803, dw = -0.0814, nw = 1651 141014.0022.ec.fits: ap = 39, w1 = 6297.157, w2 = 6164.321, dw = -0.08051, nw = 1651 141014.0022.ec.fits: ap = 40, w1 = 6228.718, w2 = 6097.327, dw = -0.07963, nw = 1651 141014.0022.ec.fits: ap = 41, w1 = 6161.751, w2 = 6031.775, dw = -0.07877, nw = 1651 141014.0022.ec.fits: ap = 42, w1 = 6096.209, w2 = 5967.617, dw = -0.07793, nw = 1651 141014.0022.ec.fits: ap = 43, w1 = 6032.047, w2 = 5904.81, dw = -0.07711, nw = 1651 141014.0022.ec.fits: ap = 44, w1 = 5969.221, w2 = 5843.312, dw = -0.07631, nw = 1651 141014.0022.ec.fits: ap = 45, w1 = 5907.691, w2 = 5783.082, dw = -0.07552, nw = 1651 141014.0022.ec.fits: ap = 46, w1 = 5847.417, w2 = 5724.081, dw = -0.07475, nw = 1651 141014.0022.ec.fits: ap = 47, w1 = 5788.36, w2 = 5666.272, dw = -0.07399, nw = 1651 141014.0022.ec.fits: ap = 48, w1 = 5730.485, w2 = 5609.619, dw = -0.07325, nw = 1651 141014.0022.ec.fits: ap = 49, w1 = 5673.756, w2 = 5554.089, dw = -0.07253, nw = 1651 141014.0022.ec.fits: ap = 50, w1 = 5618.139, w2 = 5499.647, dw = -0.07181, nw = 1651 141014.0022.ec.fits: ap = 51, w1 = 5563.602, w2 = 5446.262, dw = -0.07111, nw = 1651 141014.0022.ec.fits: ap = 52, w1 = 5510.114, w2 = 5393.905, dw = -0.07043, nw = 1651 141014.0022.ec.fits: ap = 53, w1 = 5457.645, w2 = 5342.544, dw = -0.06976, nw = 1651 141014.0022.ec.fits: ap = 54, w1 = 5406.165, w2 = 5292.153, dw = -0.0691, nw = 1651 141014.0022.ec.fits: ap = 55, w1 = 5355.649, w2 = 5242.703, dw = -0.06845, nw = 1651 141014.0022.ec.fits: ap = 56, w1 = 5306.067, w2 = 5194.17, dw = -0.06782, nw = 1651 141014.0022.ec.fits: ap = 57, w1 = 5257.395, w2 = 5146.527, dw = -0.06719, nw = 1651 141014.0022.ec.fits: ap = 58, w1 = 5209.609, w2 = 5099.75, dw = -0.06658, nw = 1651 141014.0022.ec.fits: ap = 59, w1 = 5162.683, w2 = 5053.816, dw = -0.06598, nw = 1651 141014.0022.ec.fits: ap = 60, w1 = 5116.595, w2 = 5008.703, dw = -0.06539, nw = 1651 141014.0022.ec.fits: ap = 61, w1 = 5071.323, w2 = 4964.388, dw = -0.06481, nw = 1651 141014.0022.ec.fits: ap = 62, w1 = 5026.846, w2 = 4920.851, dw = -0.06424, nw = 1651 141014.0022.ec.fits: ap = 63, w1 = 4983.141, w2 = 4878.07, dw = -0.06368, nw = 1651 141014.0022.ec.fits: ap = 64, w1 = 4940.191, w2 = 4836.028, dw = -0.06313, nw = 1651 141014.0022.ec.fits: ap = 65, w1 = 4897.974, w2 = 4794.704, dw = -0.06259, nw = 1651 141014.0022.ec.fits: ap = 66, w1 = 4856.473, w2 = 4754.081, dw = -0.06206, nw = 1651 141014.0022.ec.fits: ap = 67, w1 = 4815.67, w2 = 4714.14, dw = -0.06153, nw = 1651 141014.0022.ec.fits: ap = 68, w1 = 4775.546, w2 = 4674.866, dw = -0.06102, nw = 1651 141014.0022.ec.fits: ap = 69, w1 = 4736.086, w2 = 4636.24, dw = -0.06051, nw = 1651 141014.0022.ec.fits: ap = 70, w1 = 4697.272, w2 = 4598.248, dw = -0.06001, nw = 1651 141014.0022.ec.fits: ap = 71, w1 = 4659.09, w2 = 4560.873, dw = -0.05953, nw = 1651 141014.0022.ec.fits: ap = 72, w1 = 4621.523, w2 = 4524.101, dw = -0.05904, nw = 1651 141014.0022.ec.fits: ap = 73, w1 = 4584.557, w2 = 4487.918, dw = -0.05857, nw = 1651 141014.0022.ec.fits: ap = 74, w1 = 4548.178, w2 = 4452.309, dw = -0.0581, nw = 1651 141014.0022.ec.fits: ap = 75, w1 = 4512.372, w2 = 4417.261, dw = -0.05764, nw = 1651 141014.0022.ec.fits: ap = 76, w1 = 4477.125, w2 = 4382.76, dw = -0.05719, nw = 1651 141014.0022.ec.fits: ap = 77, w1 = 4442.425, w2 = 4348.794, dw = -0.05675, nw = 1651 141014.0022.ec.fits: ap = 78, w1 = 4408.258, w2 = 4315.351, dw = -0.05631, nw = 1651 141014.0022.ec.fits: ap = 79, w1 = 4374.613, w2 = 4282.419, dw = -0.05588, nw = 1651 141014.0022.ec.fits: ap = 80, w1 = 4341.478, w2 = 4249.985, dw = -0.05545, nw = 1651 141014.0022.ec.fits: ap = 81, w1 = 4308.841, w2 = 4218.04, dw = -0.05503, nw = 1651 141014.0022.ec.fits: ap = 82, w1 = 4276.69, w2 = 4186.57, dw = -0.05462, nw = 1651 141014.0022.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.567, dw = -0.05421, nw = 1651 141014.0022.ec.fits: ap = 84, w1 = 4213.808, w2 = 4125.02, dw = -0.05381, nw = 1651 141014.0022.ec.fits: ap = 85, w1 = 4183.055, w2 = 4094.919, dw = -0.05342, nw = 1651 141014.0022.ec.fits: ap = 86, w1 = 4152.748, w2 = 4065.254, dw = -0.05303, nw = 1651 141014.0022.ec.fits: ap = 87, w1 = 4122.876, w2 = 4036.016, dw = -0.05264, nw = 1651 141014.0022.ec.fits: ap = 88, w1 = 4093.431, w2 = 4007.196, dw = -0.05226, nw = 1651 141014.0022.ec.fits: ap = 89, w1 = 4064.404, w2 = 3978.784, dw = -0.05189, nw = 1651 141014.0022.ec.fits: ap = 90, w1 = 4035.785, w2 = 3950.772, dw = -0.05152, nw = 1651 141014.0022.ec.fits: ap = 91, w1 = 4007.566, w2 = 3923.152, dw = -0.05116, nw = 1651 141014.0022.ec.fits: ap = 92, w1 = 3979.739, w2 = 3895.916, dw = -0.0508, nw = 1651 141014.0022.ec.fits: ap = 93, w1 = 3952.296, w2 = 3869.055, dw = -0.05045, nw = 1651 141014.0022.ec.fits: ap = 94, w1 = 3925.229, w2 = 3842.562, dw = -0.0501, nw = 1651 141014.0022.ec.fits: ap = 95, w1 = 3898.529, w2 = 3816.429, dw = -0.04976, nw = 1651 141014.0022.ec.fits: ap = 96, w1 = 3872.19, w2 = 3790.65, dw = -0.04942, nw = 1651 141014.0022.ec.fits: ap = 97, w1 = 3846.204, w2 = 3765.216, dw = -0.04908, nw = 1651 141014.0022.ec.fits: ap = 98, w1 = 3820.565, w2 = 3740.122, dw = -0.04875, nw = 1651 141014.0022.ec.fits: ap = 99, w1 = 3795.265, w2 = 3715.359, dw = -0.04843, nw = 1651 141014.0022.ec.fits: ap = 100, w1 = 3770.298, w2 = 3690.922, dw = -0.04811, nw = 1651 141014.0022.ec.fits: ap = 101, w1 = 3745.656, w2 = 3666.805, dw = -0.04779, nw = 1651 141014.0022.ec.fits: ap = 102, w1 = 3721.335, w2 = 3643.001, dw = -0.04748, nw = 1651 141014.0022.ec.fits: ap = 103, w1 = 3697.327, w2 = 3619.503, dw = -0.04717, nw = 1651 141014.0022.ec.fits: ap = 104, w1 = 3673.626, w2 = 3596.307, dw = -0.04686, nw = 1651 141014.0022.ec.fits: ap = 105, w1 = 3650.227, w2 = 3573.406, dw = -0.04656, nw = 1651 141014.0022.ec.fits: ap = 106, w1 = 3627.124, w2 = 3550.795, dw = -0.04626, nw = 1651 141014.0022.ec.fits: ap = 107, w1 = 3604.312, w2 = 3528.468, dw = -0.04597, nw = 1651 141014.0022.ec.fits: ap = 108, w1 = 3581.784, w2 = 3506.42, dw = -0.04567, nw = 1651 141014.0022.ec.fits: ap = 109, w1 = 3559.535, w2 = 3484.646, dw = -0.04539, nw = 1651 141014.0022.ec.fits: ap = 110, w1 = 3537.561, w2 = 3463.14, dw = -0.0451, nw = 1651 141014.0022.ec.fits: ap = 111, w1 = 3515.857, w2 = 3441.898, dw = -0.04482, nw = 1651 141014.0022.ec.fits: ap = 112, w1 = 3494.416, w2 = 3420.915, dw = -0.04455, nw = 1651 141014.0022.ec.fits: ap = 113, w1 = 3473.235, w2 = 3400.185, dw = -0.04427, nw = 1651 141014.0022.ec.fits: ap = 114, w1 = 3452.309, w2 = 3379.706, dw = -0.044, nw = 1651 141014.0022.ec.fits: ap = 115, w1 = 3431.633, w2 = 3359.471, dw = -0.04373, nw = 1651 141014.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.18310374' 141014.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.81689626' 141014.0023.ec.fits: ap = 1, w1 = 10811.58, w2 = 10583.38, dw = -0.1383, nw = 1651 141014.0023.ec.fits: ap = 2, w1 = 10611.38, w2 = 10387.41, dw = -0.13574, nw = 1651 141014.0023.ec.fits: ap = 3, w1 = 10418.45, w2 = 10198.57, dw = -0.13327, nw = 1651 141014.0023.ec.fits: ap = 4, w1 = 10232.42, w2 = 10016.47, dw = -0.13088, nw = 1651 141014.0023.ec.fits: ap = 5, w1 = 10052.92, w2 = 9840.754, dw = -0.12858, nw = 1651 141014.0023.ec.fits: ap = 6, w1 = 9879.605, w2 = 9671.101, dw = -0.12637, nw = 1651 141014.0023.ec.fits: ap = 7, w1 = 9712.166, w2 = 9507.199, dw = -0.12422, nw = 1651 141014.0023.ec.fits: ap = 8, w1 = 9550.307, w2 = 9348.76, dw = -0.12215, nw = 1651 141014.0023.ec.fits: ap = 9, w1 = 9393.756, w2 = 9195.516, dw = -0.12015, nw = 1651 141014.0023.ec.fits: ap = 10, w1 = 9242.255, w2 = 9047.215, dw = -0.11821, nw = 1651 141014.0023.ec.fits: ap = 11, w1 = 9095.564, w2 = 8903.622, dw = -0.11633, nw = 1651 141014.0023.ec.fits: ap = 12, w1 = 8953.457, w2 = 8764.517, dw = -0.11451, nw = 1651 141014.0023.ec.fits: ap = 13, w1 = 8815.722, w2 = 8629.691, dw = -0.11275, nw = 1651 141014.0023.ec.fits: ap = 14, w1 = 8682.161, w2 = 8498.951, dw = -0.11104, nw = 1651 141014.0023.ec.fits: ap = 15, w1 = 8552.587, w2 = 8372.114, dw = -0.10938, nw = 1651 141014.0023.ec.fits: ap = 16, w1 = 8426.824, w2 = 8249.007, dw = -0.10777, nw = 1651 141014.0023.ec.fits: ap = 17, w1 = 8304.706, w2 = 8129.468, dw = -0.1062, nw = 1651 141014.0023.ec.fits: ap = 18, w1 = 8186.078, w2 = 8013.345, dw = -0.10469, nw = 1651 141014.0023.ec.fits: ap = 19, w1 = 8070.791, w2 = 7900.493, dw = -0.10321, nw = 1651 141014.0023.ec.fits: ap = 20, w1 = 7958.706, w2 = 7790.775, dw = -0.10178, nw = 1651 141014.0023.ec.fits: ap = 21, w1 = 7849.693, w2 = 7684.064, dw = -0.10038, nw = 1651 141014.0023.ec.fits: ap = 22, w1 = 7743.626, w2 = 7580.237, dw = -0.09902, nw = 1651 141014.0023.ec.fits: ap = 23, w1 = 7640.387, w2 = 7479.178, dw = -0.0977, nw = 1651 141014.0023.ec.fits: ap = 24, w1 = 7539.865, w2 = 7380.779, dw = -0.09642, nw = 1651 141014.0023.ec.fits: ap = 25, w1 = 7441.954, w2 = 7284.936, dw = -0.09516, nw = 1651 141014.0023.ec.fits: ap = 26, w1 = 7346.554, w2 = 7191.551, dw = -0.09394, nw = 1651 141014.0023.ec.fits: ap = 27, w1 = 7253.569, w2 = 7100.529, dw = -0.09275, nw = 1651 141014.0023.ec.fits: ap = 28, w1 = 7162.909, w2 = 7011.783, dw = -0.09159, nw = 1651 141014.0023.ec.fits: ap = 29, w1 = 7074.487, w2 = 6925.229, dw = -0.09046, nw = 1651 141014.0023.ec.fits: ap = 30, w1 = 6988.222, w2 = 6840.786, dw = -0.08936, nw = 1651 141014.0023.ec.fits: ap = 31, w1 = 6904.036, w2 = 6758.377, dw = -0.08828, nw = 1651 141014.0023.ec.fits: ap = 32, w1 = 6821.854, w2 = 6677.931, dw = -0.08723, nw = 1651 141014.0023.ec.fits: ap = 33, w1 = 6741.606, w2 = 6599.378, dw = -0.0862, nw = 1651 141014.0023.ec.fits: ap = 34, w1 = 6663.224, w2 = 6522.651, dw = -0.0852, nw = 1651 141014.0023.ec.fits: ap = 35, w1 = 6586.644, w2 = 6447.689, dw = -0.08422, nw = 1651 141014.0023.ec.fits: ap = 36, w1 = 6511.805, w2 = 6374.43, dw = -0.08326, nw = 1651 141014.0023.ec.fits: ap = 37, w1 = 6438.647, w2 = 6302.818, dw = -0.08232, nw = 1651 141014.0023.ec.fits: ap = 38, w1 = 6367.116, w2 = 6232.797, dw = -0.08141, nw = 1651 141014.0023.ec.fits: ap = 39, w1 = 6297.156, w2 = 6164.315, dw = -0.08051, nw = 1651 141014.0023.ec.fits: ap = 40, w1 = 6228.717, w2 = 6097.322, dw = -0.07963, nw = 1651 141014.0023.ec.fits: ap = 41, w1 = 6161.75, w2 = 6031.769, dw = -0.07878, nw = 1651 141014.0023.ec.fits: ap = 42, w1 = 6096.208, w2 = 5967.612, dw = -0.07794, nw = 1651 141014.0023.ec.fits: ap = 43, w1 = 6032.046, w2 = 5904.805, dw = -0.07712, nw = 1651 141014.0023.ec.fits: ap = 44, w1 = 5969.221, w2 = 5843.307, dw = -0.07631, nw = 1651 141014.0023.ec.fits: ap = 45, w1 = 5907.691, w2 = 5783.077, dw = -0.07552, nw = 1651 141014.0023.ec.fits: ap = 46, w1 = 5847.417, w2 = 5724.076, dw = -0.07475, nw = 1651 141014.0023.ec.fits: ap = 47, w1 = 5788.36, w2 = 5666.267, dw = -0.074, nw = 1651 141014.0023.ec.fits: ap = 48, w1 = 5730.485, w2 = 5609.615, dw = -0.07325, nw = 1651 141014.0023.ec.fits: ap = 49, w1 = 5673.756, w2 = 5554.084, dw = -0.07253, nw = 1651 141014.0023.ec.fits: ap = 50, w1 = 5618.139, w2 = 5499.643, dw = -0.07182, nw = 1651 141014.0023.ec.fits: ap = 51, w1 = 5563.602, w2 = 5446.258, dw = -0.07112, nw = 1651 141014.0023.ec.fits: ap = 52, w1 = 5510.114, w2 = 5393.9, dw = -0.07043, nw = 1651 141014.0023.ec.fits: ap = 53, w1 = 5457.644, w2 = 5342.54, dw = -0.06976, nw = 1651 141014.0023.ec.fits: ap = 54, w1 = 5406.165, w2 = 5292.149, dw = -0.0691, nw = 1651 141014.0023.ec.fits: ap = 55, w1 = 5355.648, w2 = 5242.699, dw = -0.06845, nw = 1651 141014.0023.ec.fits: ap = 56, w1 = 5306.067, w2 = 5194.166, dw = -0.06782, nw = 1651 141014.0023.ec.fits: ap = 57, w1 = 5257.395, w2 = 5146.523, dw = -0.0672, nw = 1651 141014.0023.ec.fits: ap = 58, w1 = 5209.608, w2 = 5099.746, dw = -0.06658, nw = 1651 141014.0023.ec.fits: ap = 59, w1 = 5162.682, w2 = 5053.813, dw = -0.06598, nw = 1651 141014.0023.ec.fits: ap = 60, w1 = 5116.594, w2 = 5008.699, dw = -0.06539, nw = 1651 141014.0023.ec.fits: ap = 61, w1 = 5071.322, w2 = 4964.384, dw = -0.06481, nw = 1651 141014.0023.ec.fits: ap = 62, w1 = 5026.844, w2 = 4920.847, dw = -0.06424, nw = 1651 141014.0023.ec.fits: ap = 63, w1 = 4983.14, w2 = 4878.067, dw = -0.06368, nw = 1651 141014.0023.ec.fits: ap = 64, w1 = 4940.189, w2 = 4836.025, dw = -0.06313, nw = 1651 141014.0023.ec.fits: ap = 65, w1 = 4897.973, w2 = 4794.701, dw = -0.06259, nw = 1651 141014.0023.ec.fits: ap = 66, w1 = 4856.471, w2 = 4754.078, dw = -0.06206, nw = 1651 141014.0023.ec.fits: ap = 67, w1 = 4815.668, w2 = 4714.137, dw = -0.06153, nw = 1651 141014.0023.ec.fits: ap = 68, w1 = 4775.544, w2 = 4674.862, dw = -0.06102, nw = 1651 141014.0023.ec.fits: ap = 69, w1 = 4736.084, w2 = 4636.237, dw = -0.06051, nw = 1651 141014.0023.ec.fits: ap = 70, w1 = 4697.27, w2 = 4598.244, dw = -0.06002, nw = 1651 141014.0023.ec.fits: ap = 71, w1 = 4659.087, w2 = 4560.87, dw = -0.05953, nw = 1651 141014.0023.ec.fits: ap = 72, w1 = 4621.521, w2 = 4524.098, dw = -0.05904, nw = 1651 141014.0023.ec.fits: ap = 73, w1 = 4584.555, w2 = 4487.915, dw = -0.05857, nw = 1651 141014.0023.ec.fits: ap = 74, w1 = 4548.176, w2 = 4452.306, dw = -0.0581, nw = 1651 141014.0023.ec.fits: ap = 75, w1 = 4512.37, w2 = 4417.258, dw = -0.05764, nw = 1651 141014.0023.ec.fits: ap = 76, w1 = 4477.123, w2 = 4382.757, dw = -0.05719, nw = 1651 141014.0023.ec.fits: ap = 77, w1 = 4442.423, w2 = 4348.791, dw = -0.05675, nw = 1651 141014.0023.ec.fits: ap = 78, w1 = 4408.256, w2 = 4315.348, dw = -0.05631, nw = 1651 141014.0023.ec.fits: ap = 79, w1 = 4374.611, w2 = 4282.416, dw = -0.05588, nw = 1651 141014.0023.ec.fits: ap = 80, w1 = 4341.476, w2 = 4249.982, dw = -0.05545, nw = 1651 141014.0023.ec.fits: ap = 81, w1 = 4308.839, w2 = 4218.037, dw = -0.05503, nw = 1651 141014.0023.ec.fits: ap = 82, w1 = 4276.689, w2 = 4186.568, dw = -0.05462, nw = 1651 141014.0023.ec.fits: ap = 83, w1 = 4245.015, w2 = 4155.565, dw = -0.05421, nw = 1651 141014.0023.ec.fits: ap = 84, w1 = 4213.807, w2 = 4125.018, dw = -0.05381, nw = 1651 141014.0023.ec.fits: ap = 85, w1 = 4183.055, w2 = 4094.917, dw = -0.05342, nw = 1651 141014.0023.ec.fits: ap = 86, w1 = 4152.748, w2 = 4065.252, dw = -0.05303, nw = 1651 141014.0023.ec.fits: ap = 87, w1 = 4122.877, w2 = 4036.014, dw = -0.05264, nw = 1651 141014.0023.ec.fits: ap = 88, w1 = 4093.432, w2 = 4007.194, dw = -0.05227, nw = 1651 141014.0023.ec.fits: ap = 89, w1 = 4064.405, w2 = 3978.782, dw = -0.05189, nw = 1651 141014.0023.ec.fits: ap = 90, w1 = 4035.787, w2 = 3950.771, dw = -0.05153, nw = 1651 141014.0023.ec.fits: ap = 91, w1 = 4007.569, w2 = 3923.151, dw = -0.05116, nw = 1651 141014.0023.ec.fits: ap = 92, w1 = 3979.743, w2 = 3895.915, dw = -0.05081, nw = 1651 141014.0023.ec.fits: ap = 93, w1 = 3952.3, w2 = 3869.054, dw = -0.05045, nw = 1651 141014.0023.ec.fits: ap = 94, w1 = 3925.234, w2 = 3842.561, dw = -0.0501, nw = 1651 141014.0023.ec.fits: ap = 95, w1 = 3898.535, w2 = 3816.429, dw = -0.04976, nw = 1651 141014.0023.ec.fits: ap = 96, w1 = 3872.197, w2 = 3790.65, dw = -0.04942, nw = 1651 141014.0023.ec.fits: ap = 97, w1 = 3846.213, w2 = 3765.216, dw = -0.04909, nw = 1651 141014.0023.ec.fits: ap = 98, w1 = 3820.574, w2 = 3740.122, dw = -0.04876, nw = 1651 141014.0023.ec.fits: ap = 99, w1 = 3795.275, w2 = 3715.36, dw = -0.04843, nw = 1651 141014.0023.ec.fits: ap = 100, w1 = 3770.309, w2 = 3690.923, dw = -0.04811, nw = 1651 141014.0023.ec.fits: ap = 101, w1 = 3745.669, w2 = 3666.806, dw = -0.0478, nw = 1651 141014.0023.ec.fits: ap = 102, w1 = 3721.349, w2 = 3643.002, dw = -0.04748, nw = 1651 141014.0023.ec.fits: ap = 103, w1 = 3697.343, w2 = 3619.506, dw = -0.04717, nw = 1651 141014.0023.ec.fits: ap = 104, w1 = 3673.644, w2 = 3596.31, dw = -0.04687, nw = 1651 141014.0023.ec.fits: ap = 105, w1 = 3650.247, w2 = 3573.409, dw = -0.04657, nw = 1651 141014.0023.ec.fits: ap = 106, w1 = 3627.146, w2 = 3550.799, dw = -0.04627, nw = 1651 141014.0023.ec.fits: ap = 107, w1 = 3604.335, w2 = 3528.472, dw = -0.04598, nw = 1651 141014.0023.ec.fits: ap = 108, w1 = 3581.809, w2 = 3506.425, dw = -0.04569, nw = 1651 141014.0023.ec.fits: ap = 109, w1 = 3559.563, w2 = 3484.651, dw = -0.0454, nw = 1651 141014.0023.ec.fits: ap = 110, w1 = 3537.591, w2 = 3463.146, dw = -0.04512, nw = 1651 141014.0023.ec.fits: ap = 111, w1 = 3515.889, w2 = 3441.904, dw = -0.04484, nw = 1651 141014.0023.ec.fits: ap = 112, w1 = 3494.451, w2 = 3420.922, dw = -0.04456, nw = 1651 141014.0023.ec.fits: ap = 113, w1 = 3473.273, w2 = 3400.193, dw = -0.04429, nw = 1651 141014.0023.ec.fits: ap = 114, w1 = 3452.35, w2 = 3379.714, dw = -0.04402, nw = 1651 141014.0023.ec.fits: ap = 115, w1 = 3431.677, w2 = 3359.481, dw = -0.04376, nw = 1651 141014.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.77154809' 141014.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.22845189' 141014.0025.ec.fits: ap = 1, w1 = 10811.57, w2 = 10583.37, dw = -0.1383, nw = 1651 141014.0025.ec.fits: ap = 2, w1 = 10611.37, w2 = 10387.4, dw = -0.13574, nw = 1651 141014.0025.ec.fits: ap = 3, w1 = 10418.45, w2 = 10198.56, dw = -0.13327, nw = 1651 141014.0025.ec.fits: ap = 4, w1 = 10232.42, w2 = 10016.46, dw = -0.13089, nw = 1651 141014.0025.ec.fits: ap = 5, w1 = 10052.91, w2 = 9840.747, dw = -0.12859, nw = 1651 141014.0025.ec.fits: ap = 6, w1 = 9879.6, w2 = 9671.095, dw = -0.12637, nw = 1651 141014.0025.ec.fits: ap = 7, w1 = 9712.161, w2 = 9507.193, dw = -0.12422, nw = 1651 141014.0025.ec.fits: ap = 8, w1 = 9550.303, w2 = 9348.755, dw = -0.12215, nw = 1651 141014.0025.ec.fits: ap = 9, w1 = 9393.752, w2 = 9195.511, dw = -0.12015, nw = 1651 141014.0025.ec.fits: ap = 10, w1 = 9242.251, w2 = 9047.211, dw = -0.11821, nw = 1651 141014.0025.ec.fits: ap = 11, w1 = 9095.56, w2 = 8903.618, dw = -0.11633, nw = 1651 141014.0025.ec.fits: ap = 12, w1 = 8953.453, w2 = 8764.512, dw = -0.11451, nw = 1651 141014.0025.ec.fits: ap = 13, w1 = 8815.718, w2 = 8629.687, dw = -0.11275, nw = 1651 141014.0025.ec.fits: ap = 14, w1 = 8682.157, w2 = 8498.947, dw = -0.11104, nw = 1651 141014.0025.ec.fits: ap = 15, w1 = 8552.583, w2 = 8372.11, dw = -0.10938, nw = 1651 141014.0025.ec.fits: ap = 16, w1 = 8426.82, w2 = 8249.003, dw = -0.10777, nw = 1651 141014.0025.ec.fits: ap = 17, w1 = 8304.702, w2 = 8129.464, dw = -0.10621, nw = 1651 141014.0025.ec.fits: ap = 18, w1 = 8186.074, w2 = 8013.341, dw = -0.10469, nw = 1651 141014.0025.ec.fits: ap = 19, w1 = 8070.787, w2 = 7900.489, dw = -0.10321, nw = 1651 141014.0025.ec.fits: ap = 20, w1 = 7958.703, w2 = 7790.772, dw = -0.10178, nw = 1651 141014.0025.ec.fits: ap = 21, w1 = 7849.69, w2 = 7684.06, dw = -0.10038, nw = 1651 141014.0025.ec.fits: ap = 22, w1 = 7743.623, w2 = 7580.233, dw = -0.09902, nw = 1651 141014.0025.ec.fits: ap = 23, w1 = 7640.384, w2 = 7479.175, dw = -0.0977, nw = 1651 141014.0025.ec.fits: ap = 24, w1 = 7539.863, w2 = 7380.776, dw = -0.09642, nw = 1651 141014.0025.ec.fits: ap = 25, w1 = 7441.952, w2 = 7284.932, dw = -0.09516, nw = 1651 141014.0025.ec.fits: ap = 26, w1 = 7346.552, w2 = 7191.547, dw = -0.09394, nw = 1651 141014.0025.ec.fits: ap = 27, w1 = 7253.567, w2 = 7100.525, dw = -0.09275, nw = 1651 141014.0025.ec.fits: ap = 28, w1 = 7162.907, w2 = 7011.779, dw = -0.09159, nw = 1651 141014.0025.ec.fits: ap = 29, w1 = 7074.485, w2 = 6925.225, dw = -0.09046, nw = 1651 141014.0025.ec.fits: ap = 30, w1 = 6988.221, w2 = 6840.782, dw = -0.08936, nw = 1651 141014.0025.ec.fits: ap = 31, w1 = 6904.034, w2 = 6758.374, dw = -0.08828, nw = 1651 141014.0025.ec.fits: ap = 32, w1 = 6821.853, w2 = 6677.927, dw = -0.08723, nw = 1651 141014.0025.ec.fits: ap = 33, w1 = 6741.605, w2 = 6599.374, dw = -0.0862, nw = 1651 141014.0025.ec.fits: ap = 34, w1 = 6663.223, w2 = 6522.647, dw = -0.0852, nw = 1651 141014.0025.ec.fits: ap = 35, w1 = 6586.643, w2 = 6447.685, dw = -0.08422, nw = 1651 141014.0025.ec.fits: ap = 36, w1 = 6511.804, w2 = 6374.426, dw = -0.08326, nw = 1651 141014.0025.ec.fits: ap = 37, w1 = 6438.646, w2 = 6302.813, dw = -0.08232, nw = 1651 141014.0025.ec.fits: ap = 38, w1 = 6367.114, w2 = 6232.792, dw = -0.08141, nw = 1651 141014.0025.ec.fits: ap = 39, w1 = 6297.155, w2 = 6164.31, dw = -0.08051, nw = 1651 141014.0025.ec.fits: ap = 40, w1 = 6228.716, w2 = 6097.317, dw = -0.07964, nw = 1651 141014.0025.ec.fits: ap = 41, w1 = 6161.749, w2 = 6031.765, dw = -0.07878, nw = 1651 141014.0025.ec.fits: ap = 42, w1 = 6096.207, w2 = 5967.607, dw = -0.07794, nw = 1651 141014.0025.ec.fits: ap = 43, w1 = 6032.045, w2 = 5904.8, dw = -0.07712, nw = 1651 141014.0025.ec.fits: ap = 44, w1 = 5969.219, w2 = 5843.302, dw = -0.07631, nw = 1651 141014.0025.ec.fits: ap = 45, w1 = 5907.689, w2 = 5783.072, dw = -0.07553, nw = 1651 141014.0025.ec.fits: ap = 46, w1 = 5847.415, w2 = 5724.071, dw = -0.07475, nw = 1651 141014.0025.ec.fits: ap = 47, w1 = 5788.358, w2 = 5666.262, dw = -0.074, nw = 1651 141014.0025.ec.fits: ap = 48, w1 = 5730.483, w2 = 5609.61, dw = -0.07326, nw = 1651 141014.0025.ec.fits: ap = 49, w1 = 5673.753, w2 = 5554.079, dw = -0.07253, nw = 1651 141014.0025.ec.fits: ap = 50, w1 = 5618.136, w2 = 5499.637, dw = -0.07182, nw = 1651 141014.0025.ec.fits: ap = 51, w1 = 5563.599, w2 = 5446.253, dw = -0.07112, nw = 1651 141014.0025.ec.fits: ap = 52, w1 = 5510.111, w2 = 5393.895, dw = -0.07043, nw = 1651 141014.0025.ec.fits: ap = 53, w1 = 5457.642, w2 = 5342.534, dw = -0.06976, nw = 1651 141014.0025.ec.fits: ap = 54, w1 = 5406.162, w2 = 5292.143, dw = -0.0691, nw = 1651 141014.0025.ec.fits: ap = 55, w1 = 5355.645, w2 = 5242.694, dw = -0.06846, nw = 1651 141014.0025.ec.fits: ap = 56, w1 = 5306.064, w2 = 5194.16, dw = -0.06782, nw = 1651 141014.0025.ec.fits: ap = 57, w1 = 5257.392, w2 = 5146.517, dw = -0.0672, nw = 1651 141014.0025.ec.fits: ap = 58, w1 = 5209.605, w2 = 5099.741, dw = -0.06658, nw = 1651 141014.0025.ec.fits: ap = 59, w1 = 5162.679, w2 = 5053.807, dw = -0.06598, nw = 1651 141014.0025.ec.fits: ap = 60, w1 = 5116.591, w2 = 5008.693, dw = -0.06539, nw = 1651 141014.0025.ec.fits: ap = 61, w1 = 5071.319, w2 = 4964.379, dw = -0.06481, nw = 1651 141014.0025.ec.fits: ap = 62, w1 = 5026.841, w2 = 4920.841, dw = -0.06424, nw = 1651 141014.0025.ec.fits: ap = 63, w1 = 4983.137, w2 = 4878.061, dw = -0.06368, nw = 1651 141014.0025.ec.fits: ap = 64, w1 = 4940.186, w2 = 4836.019, dw = -0.06313, nw = 1651 141014.0025.ec.fits: ap = 65, w1 = 4897.97, w2 = 4794.695, dw = -0.06259, nw = 1651 141014.0025.ec.fits: ap = 66, w1 = 4856.469, w2 = 4754.072, dw = -0.06206, nw = 1651 141014.0025.ec.fits: ap = 67, w1 = 4815.665, w2 = 4714.131, dw = -0.06154, nw = 1651 141014.0025.ec.fits: ap = 68, w1 = 4775.542, w2 = 4674.857, dw = -0.06102, nw = 1651 141014.0025.ec.fits: ap = 69, w1 = 4736.081, w2 = 4636.231, dw = -0.06052, nw = 1651 141014.0025.ec.fits: ap = 70, w1 = 4697.268, w2 = 4598.239, dw = -0.06002, nw = 1651 141014.0025.ec.fits: ap = 71, w1 = 4659.086, w2 = 4560.865, dw = -0.05953, nw = 1651 141014.0025.ec.fits: ap = 72, w1 = 4621.52, w2 = 4524.093, dw = -0.05905, nw = 1651 141014.0025.ec.fits: ap = 73, w1 = 4584.554, w2 = 4487.91, dw = -0.05857, nw = 1651 141014.0025.ec.fits: ap = 74, w1 = 4548.176, w2 = 4452.301, dw = -0.05811, nw = 1651 141014.0025.ec.fits: ap = 75, w1 = 4512.37, w2 = 4417.253, dw = -0.05765, nw = 1651 141014.0025.ec.fits: ap = 76, w1 = 4477.124, w2 = 4382.753, dw = -0.05719, nw = 1651 141014.0025.ec.fits: ap = 77, w1 = 4442.424, w2 = 4348.788, dw = -0.05675, nw = 1651 141014.0025.ec.fits: ap = 78, w1 = 4408.258, w2 = 4315.344, dw = -0.05631, nw = 1651 141014.0025.ec.fits: ap = 79, w1 = 4374.614, w2 = 4282.412, dw = -0.05588, nw = 1651 141014.0025.ec.fits: ap = 80, w1 = 4341.479, w2 = 4249.979, dw = -0.05545, nw = 1651 141014.0025.ec.fits: ap = 81, w1 = 4308.843, w2 = 4218.034, dw = -0.05504, nw = 1651 141014.0025.ec.fits: ap = 82, w1 = 4276.694, w2 = 4186.565, dw = -0.05462, nw = 1651 141014.0025.ec.fits: ap = 83, w1 = 4245.022, w2 = 4155.563, dw = -0.05422, nw = 1651 141014.0025.ec.fits: ap = 84, w1 = 4213.814, w2 = 4125.016, dw = -0.05382, nw = 1651 141014.0025.ec.fits: ap = 85, w1 = 4183.063, w2 = 4094.915, dw = -0.05342, nw = 1651 141014.0025.ec.fits: ap = 86, w1 = 4152.757, w2 = 4065.251, dw = -0.05303, nw = 1651 141014.0025.ec.fits: ap = 87, w1 = 4122.887, w2 = 4036.013, dw = -0.05265, nw = 1651 141014.0025.ec.fits: ap = 88, w1 = 4093.444, w2 = 4007.193, dw = -0.05227, nw = 1651 141014.0025.ec.fits: ap = 89, w1 = 4064.418, w2 = 3978.782, dw = -0.0519, nw = 1651 141014.0025.ec.fits: ap = 90, w1 = 4035.802, w2 = 3950.771, dw = -0.05153, nw = 1651 141014.0025.ec.fits: ap = 91, w1 = 4007.585, w2 = 3923.152, dw = -0.05117, nw = 1651 141014.0025.ec.fits: ap = 92, w1 = 3979.761, w2 = 3895.916, dw = -0.05081, nw = 1651 141014.0025.ec.fits: ap = 93, w1 = 3952.32, w2 = 3869.056, dw = -0.05046, nw = 1651 141014.0025.ec.fits: ap = 94, w1 = 3925.255, w2 = 3842.564, dw = -0.05012, nw = 1651 141014.0025.ec.fits: ap = 95, w1 = 3898.558, w2 = 3816.432, dw = -0.04977, nw = 1651 141014.0025.ec.fits: ap = 96, w1 = 3872.222, w2 = 3790.654, dw = -0.04944, nw = 1651 141014.0025.ec.fits: ap = 97, w1 = 3846.24, w2 = 3765.221, dw = -0.0491, nw = 1651 141014.0025.ec.fits: ap = 98, w1 = 3820.604, w2 = 3740.127, dw = -0.04877, nw = 1651 141014.0025.ec.fits: ap = 99, w1 = 3795.307, w2 = 3715.366, dw = -0.04845, nw = 1651 141014.0025.ec.fits: ap = 100, w1 = 3770.343, w2 = 3690.93, dw = -0.04813, nw = 1651 141014.0025.ec.fits: ap = 101, w1 = 3745.706, w2 = 3666.814, dw = -0.04781, nw = 1651 141014.0025.ec.fits: ap = 102, w1 = 3721.389, w2 = 3643.011, dw = -0.0475, nw = 1651 141014.0025.ec.fits: ap = 103, w1 = 3697.385, w2 = 3619.514, dw = -0.04719, nw = 1651 141014.0025.ec.fits: ap = 104, w1 = 3673.689, w2 = 3596.32, dw = -0.04689, nw = 1651 141014.0025.ec.fits: ap = 105, w1 = 3650.295, w2 = 3573.42, dw = -0.04659, nw = 1651 141014.0025.ec.fits: ap = 106, w1 = 3627.197, w2 = 3550.81, dw = -0.04629, nw = 1651 141014.0025.ec.fits: ap = 107, w1 = 3604.389, w2 = 3528.485, dw = -0.046, nw = 1651 141014.0025.ec.fits: ap = 108, w1 = 3581.867, w2 = 3506.438, dw = -0.04571, nw = 1651 141014.0025.ec.fits: ap = 109, w1 = 3559.624, w2 = 3484.665, dw = -0.04543, nw = 1651 141014.0025.ec.fits: ap = 110, w1 = 3537.656, w2 = 3463.161, dw = -0.04515, nw = 1651 141014.0025.ec.fits: ap = 111, w1 = 3515.957, w2 = 3441.921, dw = -0.04487, nw = 1651 141014.0025.ec.fits: ap = 112, w1 = 3494.523, w2 = 3420.939, dw = -0.0446, nw = 1651 141014.0025.ec.fits: ap = 113, w1 = 3473.349, w2 = 3400.212, dw = -0.04433, nw = 1651 141014.0025.ec.fits: ap = 114, w1 = 3452.429, w2 = 3379.734, dw = -0.04406, nw = 1651 141014.0025.ec.fits: ap = 115, w1 = 3431.761, w2 = 3359.501, dw = -0.04379, nw = 1651 141014.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.36366999' 141014.0026.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.63633001' 141014.0026.ec.fits: ap = 1, w1 = 10811.55, w2 = 10583.35, dw = -0.1383, nw = 1651 141014.0026.ec.fits: ap = 2, w1 = 10611.35, w2 = 10387.38, dw = -0.13574, nw = 1651 141014.0026.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.54, dw = -0.13327, nw = 1651 141014.0026.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.44, dw = -0.13088, nw = 1651 141014.0026.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.734, dw = -0.12859, nw = 1651 141014.0026.ec.fits: ap = 6, w1 = 9879.587, w2 = 9671.084, dw = -0.12637, nw = 1651 141014.0026.ec.fits: ap = 7, w1 = 9712.15, w2 = 9507.184, dw = -0.12422, nw = 1651 141014.0026.ec.fits: ap = 8, w1 = 9550.294, w2 = 9348.748, dw = -0.12215, nw = 1651 141014.0026.ec.fits: ap = 9, w1 = 9393.744, w2 = 9195.506, dw = -0.12014, nw = 1651 141014.0026.ec.fits: ap = 10, w1 = 9242.244, w2 = 9047.207, dw = -0.1182, nw = 1651 141014.0026.ec.fits: ap = 11, w1 = 9095.554, w2 = 8903.615, dw = -0.11633, nw = 1651 141014.0026.ec.fits: ap = 12, w1 = 8953.448, w2 = 8764.511, dw = -0.11451, nw = 1651 141014.0026.ec.fits: ap = 13, w1 = 8815.714, w2 = 8629.686, dw = -0.11274, nw = 1651 141014.0026.ec.fits: ap = 14, w1 = 8682.154, w2 = 8498.947, dw = -0.11103, nw = 1651 141014.0026.ec.fits: ap = 15, w1 = 8552.581, w2 = 8372.111, dw = -0.10938, nw = 1651 141014.0026.ec.fits: ap = 16, w1 = 8426.819, w2 = 8249.005, dw = -0.10777, nw = 1651 141014.0026.ec.fits: ap = 17, w1 = 8304.702, w2 = 8129.467, dw = -0.1062, nw = 1651 141014.0026.ec.fits: ap = 18, w1 = 8186.074, w2 = 8013.344, dw = -0.10468, nw = 1651 141014.0026.ec.fits: ap = 19, w1 = 8070.788, w2 = 7900.492, dw = -0.10321, nw = 1651 141014.0026.ec.fits: ap = 20, w1 = 7958.704, w2 = 7790.775, dw = -0.10177, nw = 1651 141014.0026.ec.fits: ap = 21, w1 = 7849.691, w2 = 7684.064, dw = -0.10038, nw = 1651 141014.0026.ec.fits: ap = 22, w1 = 7743.624, w2 = 7580.237, dw = -0.09902, nw = 1651 141014.0026.ec.fits: ap = 23, w1 = 7640.386, w2 = 7479.179, dw = -0.0977, nw = 1651 141014.0026.ec.fits: ap = 24, w1 = 7539.864, w2 = 7380.78, dw = -0.09641, nw = 1651 141014.0026.ec.fits: ap = 25, w1 = 7441.953, w2 = 7284.936, dw = -0.09516, nw = 1651 141014.0026.ec.fits: ap = 26, w1 = 7346.553, w2 = 7191.551, dw = -0.09394, nw = 1651 141014.0026.ec.fits: ap = 27, w1 = 7253.568, w2 = 7100.529, dw = -0.09275, nw = 1651 141014.0026.ec.fits: ap = 28, w1 = 7162.908, w2 = 7011.783, dw = -0.09159, nw = 1651 141014.0026.ec.fits: ap = 29, w1 = 7074.486, w2 = 6925.228, dw = -0.09046, nw = 1651 141014.0026.ec.fits: ap = 30, w1 = 6988.221, w2 = 6840.785, dw = -0.08936, nw = 1651 141014.0026.ec.fits: ap = 31, w1 = 6904.035, w2 = 6758.376, dw = -0.08828, nw = 1651 141014.0026.ec.fits: ap = 32, w1 = 6821.853, w2 = 6677.93, dw = -0.08723, nw = 1651 141014.0026.ec.fits: ap = 33, w1 = 6741.604, w2 = 6599.376, dw = -0.0862, nw = 1651 141014.0026.ec.fits: ap = 34, w1 = 6663.222, w2 = 6522.649, dw = -0.0852, nw = 1651 141014.0026.ec.fits: ap = 35, w1 = 6586.642, w2 = 6447.686, dw = -0.08422, nw = 1651 141014.0026.ec.fits: ap = 36, w1 = 6511.803, w2 = 6374.427, dw = -0.08326, nw = 1651 141014.0026.ec.fits: ap = 37, w1 = 6438.645, w2 = 6302.814, dw = -0.08232, nw = 1651 141014.0026.ec.fits: ap = 38, w1 = 6367.113, w2 = 6232.793, dw = -0.08141, nw = 1651 141014.0026.ec.fits: ap = 39, w1 = 6297.153, w2 = 6164.31, dw = -0.08051, nw = 1651 141014.0026.ec.fits: ap = 40, w1 = 6228.714, w2 = 6097.317, dw = -0.07963, nw = 1651 141014.0026.ec.fits: ap = 41, w1 = 6161.747, w2 = 6031.764, dw = -0.07878, nw = 1651 141014.0026.ec.fits: ap = 42, w1 = 6096.204, w2 = 5967.606, dw = -0.07794, nw = 1651 141014.0026.ec.fits: ap = 43, w1 = 6032.042, w2 = 5904.799, dw = -0.07712, nw = 1651 141014.0026.ec.fits: ap = 44, w1 = 5969.216, w2 = 5843.3, dw = -0.07631, nw = 1651 141014.0026.ec.fits: ap = 45, w1 = 5907.686, w2 = 5783.07, dw = -0.07552, nw = 1651 141014.0026.ec.fits: ap = 46, w1 = 5847.411, w2 = 5724.068, dw = -0.07475, nw = 1651 141014.0026.ec.fits: ap = 47, w1 = 5788.354, w2 = 5666.259, dw = -0.074, nw = 1651 141014.0026.ec.fits: ap = 48, w1 = 5730.479, w2 = 5609.606, dw = -0.07326, nw = 1651 141014.0026.ec.fits: ap = 49, w1 = 5673.749, w2 = 5554.075, dw = -0.07253, nw = 1651 141014.0026.ec.fits: ap = 50, w1 = 5618.132, w2 = 5499.633, dw = -0.07182, nw = 1651 141014.0026.ec.fits: ap = 51, w1 = 5563.595, w2 = 5446.248, dw = -0.07112, nw = 1651 141014.0026.ec.fits: ap = 52, w1 = 5510.106, w2 = 5393.89, dw = -0.07043, nw = 1651 141014.0026.ec.fits: ap = 53, w1 = 5457.637, w2 = 5342.53, dw = -0.06976, nw = 1651 141014.0026.ec.fits: ap = 54, w1 = 5406.158, w2 = 5292.138, dw = -0.0691, nw = 1651 141014.0026.ec.fits: ap = 55, w1 = 5355.64, w2 = 5242.689, dw = -0.06846, nw = 1651 141014.0026.ec.fits: ap = 56, w1 = 5306.059, w2 = 5194.155, dw = -0.06782, nw = 1651 141014.0026.ec.fits: ap = 57, w1 = 5257.387, w2 = 5146.512, dw = -0.0672, nw = 1651 141014.0026.ec.fits: ap = 58, w1 = 5209.6, w2 = 5099.735, dw = -0.06658, nw = 1651 141014.0026.ec.fits: ap = 59, w1 = 5162.674, w2 = 5053.801, dw = -0.06598, nw = 1651 141014.0026.ec.fits: ap = 60, w1 = 5116.587, w2 = 5008.688, dw = -0.06539, nw = 1651 141014.0026.ec.fits: ap = 61, w1 = 5071.315, w2 = 4964.373, dw = -0.06481, nw = 1651 141014.0026.ec.fits: ap = 62, w1 = 5026.837, w2 = 4920.835, dw = -0.06424, nw = 1651 141014.0026.ec.fits: ap = 63, w1 = 4983.133, w2 = 4878.055, dw = -0.06368, nw = 1651 141014.0026.ec.fits: ap = 64, w1 = 4940.183, w2 = 4836.013, dw = -0.06313, nw = 1651 141014.0026.ec.fits: ap = 65, w1 = 4897.966, w2 = 4794.689, dw = -0.06259, nw = 1651 141014.0026.ec.fits: ap = 66, w1 = 4856.466, w2 = 4754.066, dw = -0.06206, nw = 1651 141014.0026.ec.fits: ap = 67, w1 = 4815.663, w2 = 4714.126, dw = -0.06154, nw = 1651 141014.0026.ec.fits: ap = 68, w1 = 4775.54, w2 = 4674.851, dw = -0.06102, nw = 1651 141014.0026.ec.fits: ap = 69, w1 = 4736.08, w2 = 4636.226, dw = -0.06052, nw = 1651 141014.0026.ec.fits: ap = 70, w1 = 4697.267, w2 = 4598.234, dw = -0.06002, nw = 1651 141014.0026.ec.fits: ap = 71, w1 = 4659.086, w2 = 4560.86, dw = -0.05953, nw = 1651 141014.0026.ec.fits: ap = 72, w1 = 4621.52, w2 = 4524.088, dw = -0.05905, nw = 1651 141014.0026.ec.fits: ap = 73, w1 = 4584.556, w2 = 4487.905, dw = -0.05858, nw = 1651 141014.0026.ec.fits: ap = 74, w1 = 4548.178, w2 = 4452.297, dw = -0.05811, nw = 1651 141014.0026.ec.fits: ap = 75, w1 = 4512.373, w2 = 4417.249, dw = -0.05765, nw = 1651 141014.0026.ec.fits: ap = 76, w1 = 4477.128, w2 = 4382.749, dw = -0.0572, nw = 1651 141014.0026.ec.fits: ap = 77, w1 = 4442.429, w2 = 4348.784, dw = -0.05675, nw = 1651 141014.0026.ec.fits: ap = 78, w1 = 4408.264, w2 = 4315.341, dw = -0.05632, nw = 1651 141014.0026.ec.fits: ap = 79, w1 = 4374.621, w2 = 4282.41, dw = -0.05589, nw = 1651 141014.0026.ec.fits: ap = 80, w1 = 4341.487, w2 = 4249.977, dw = -0.05546, nw = 1651 141014.0026.ec.fits: ap = 81, w1 = 4308.853, w2 = 4218.032, dw = -0.05504, nw = 1651 141014.0026.ec.fits: ap = 82, w1 = 4276.705, w2 = 4186.564, dw = -0.05463, nw = 1651 141014.0026.ec.fits: ap = 83, w1 = 4245.033, w2 = 4155.562, dw = -0.05423, nw = 1651 141014.0026.ec.fits: ap = 84, w1 = 4213.827, w2 = 4125.016, dw = -0.05383, nw = 1651 141014.0026.ec.fits: ap = 85, w1 = 4183.077, w2 = 4094.916, dw = -0.05343, nw = 1651 141014.0026.ec.fits: ap = 86, w1 = 4152.773, w2 = 4065.252, dw = -0.05304, nw = 1651 141014.0026.ec.fits: ap = 87, w1 = 4122.905, w2 = 4036.015, dw = -0.05266, nw = 1651 141014.0026.ec.fits: ap = 88, w1 = 4093.463, w2 = 4007.195, dw = -0.05228, nw = 1651 141014.0026.ec.fits: ap = 89, w1 = 4064.44, w2 = 3978.785, dw = -0.05191, nw = 1651 141014.0026.ec.fits: ap = 90, w1 = 4035.825, w2 = 3950.774, dw = -0.05155, nw = 1651 141014.0026.ec.fits: ap = 91, w1 = 4007.61, w2 = 3923.156, dw = -0.05118, nw = 1651 141014.0026.ec.fits: ap = 92, w1 = 3979.788, w2 = 3895.921, dw = -0.05083, nw = 1651 141014.0026.ec.fits: ap = 93, w1 = 3952.349, w2 = 3869.061, dw = -0.05048, nw = 1651 141014.0026.ec.fits: ap = 94, w1 = 3925.286, w2 = 3842.57, dw = -0.05013, nw = 1651 141014.0026.ec.fits: ap = 95, w1 = 3898.591, w2 = 3816.439, dw = -0.04979, nw = 1651 141014.0026.ec.fits: ap = 96, w1 = 3872.258, w2 = 3790.661, dw = -0.04945, nw = 1651 141014.0026.ec.fits: ap = 97, w1 = 3846.278, w2 = 3765.229, dw = -0.04912, nw = 1651 141014.0026.ec.fits: ap = 98, w1 = 3820.644, w2 = 3740.136, dw = -0.04879, nw = 1651 141014.0026.ec.fits: ap = 99, w1 = 3795.35, w2 = 3715.376, dw = -0.04847, nw = 1651 141014.0026.ec.fits: ap = 100, w1 = 3770.389, w2 = 3690.941, dw = -0.04815, nw = 1651 141014.0026.ec.fits: ap = 101, w1 = 3745.754, w2 = 3666.825, dw = -0.04784, nw = 1651 141014.0026.ec.fits: ap = 102, w1 = 3721.439, w2 = 3643.023, dw = -0.04753, nw = 1651 141014.0026.ec.fits: ap = 103, w1 = 3697.438, w2 = 3619.528, dw = -0.04722, nw = 1651 141014.0026.ec.fits: ap = 104, w1 = 3673.745, w2 = 3596.334, dw = -0.04692, nw = 1651 141014.0026.ec.fits: ap = 105, w1 = 3650.354, w2 = 3573.435, dw = -0.04662, nw = 1651 141014.0026.ec.fits: ap = 106, w1 = 3627.259, w2 = 3550.826, dw = -0.04632, nw = 1651 141014.0026.ec.fits: ap = 107, w1 = 3604.455, w2 = 3528.501, dw = -0.04603, nw = 1651 141014.0026.ec.fits: ap = 108, w1 = 3581.936, w2 = 3506.456, dw = -0.04575, nw = 1651 141014.0026.ec.fits: ap = 109, w1 = 3559.696, w2 = 3484.684, dw = -0.04546, nw = 1651 141014.0026.ec.fits: ap = 110, w1 = 3537.732, w2 = 3463.181, dw = -0.04518, nw = 1651 141014.0026.ec.fits: ap = 111, w1 = 3516.036, w2 = 3441.941, dw = -0.04491, nw = 1651 141014.0026.ec.fits: ap = 112, w1 = 3494.606, w2 = 3420.961, dw = -0.04463, nw = 1651 141014.0026.ec.fits: ap = 113, w1 = 3473.435, w2 = 3400.234, dw = -0.04436, nw = 1651 141014.0026.ec.fits: ap = 114, w1 = 3452.52, w2 = 3379.758, dw = -0.0441, nw = 1651 141014.0026.ec.fits: ap = 115, w1 = 3431.855, w2 = 3359.526, dw = -0.04384, nw = 1651 141014.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.098518997' 141014.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.90148103' 141014.0027.ec.fits: ap = 1, w1 = 10811.53, w2 = 10583.33, dw = -0.1383, nw = 1651 141014.0027.ec.fits: ap = 2, w1 = 10611.34, w2 = 10387.37, dw = -0.13574, nw = 1651 141014.0027.ec.fits: ap = 3, w1 = 10418.42, w2 = 10198.53, dw = -0.13327, nw = 1651 141014.0027.ec.fits: ap = 4, w1 = 10232.39, w2 = 10016.43, dw = -0.13088, nw = 1651 141014.0027.ec.fits: ap = 5, w1 = 10052.89, w2 = 9840.725, dw = -0.12858, nw = 1651 141014.0027.ec.fits: ap = 6, w1 = 9879.579, w2 = 9671.076, dw = -0.12637, nw = 1651 141014.0027.ec.fits: ap = 7, w1 = 9712.143, w2 = 9507.178, dw = -0.12422, nw = 1651 141014.0027.ec.fits: ap = 8, w1 = 9550.287, w2 = 9348.743, dw = -0.12215, nw = 1651 141014.0027.ec.fits: ap = 9, w1 = 9393.739, w2 = 9195.502, dw = -0.12014, nw = 1651 141014.0027.ec.fits: ap = 10, w1 = 9242.24, w2 = 9047.204, dw = -0.1182, nw = 1651 141014.0027.ec.fits: ap = 11, w1 = 9095.551, w2 = 8903.613, dw = -0.11633, nw = 1651 141014.0027.ec.fits: ap = 12, w1 = 8953.445, w2 = 8764.51, dw = -0.11451, nw = 1651 141014.0027.ec.fits: ap = 13, w1 = 8815.712, w2 = 8629.686, dw = -0.11274, nw = 1651 141014.0027.ec.fits: ap = 14, w1 = 8682.153, w2 = 8498.948, dw = -0.11103, nw = 1651 141014.0027.ec.fits: ap = 15, w1 = 8552.58, w2 = 8372.112, dw = -0.10937, nw = 1651 141014.0027.ec.fits: ap = 16, w1 = 8426.818, w2 = 8249.006, dw = -0.10776, nw = 1651 141014.0027.ec.fits: ap = 17, w1 = 8304.702, w2 = 8129.468, dw = -0.1062, nw = 1651 141014.0027.ec.fits: ap = 18, w1 = 8186.074, w2 = 8013.346, dw = -0.10468, nw = 1651 141014.0027.ec.fits: ap = 19, w1 = 8070.788, w2 = 7900.495, dw = -0.10321, nw = 1651 141014.0027.ec.fits: ap = 20, w1 = 7958.704, w2 = 7790.778, dw = -0.10177, nw = 1651 141014.0027.ec.fits: ap = 21, w1 = 7849.691, w2 = 7684.067, dw = -0.10038, nw = 1651 141014.0027.ec.fits: ap = 22, w1 = 7743.625, w2 = 7580.24, dw = -0.09902, nw = 1651 141014.0027.ec.fits: ap = 23, w1 = 7640.386, w2 = 7479.181, dw = -0.0977, nw = 1651 141014.0027.ec.fits: ap = 24, w1 = 7539.865, w2 = 7380.782, dw = -0.09641, nw = 1651 141014.0027.ec.fits: ap = 25, w1 = 7441.954, w2 = 7284.939, dw = -0.09516, nw = 1651 141014.0027.ec.fits: ap = 26, w1 = 7346.554, w2 = 7191.553, dw = -0.09394, nw = 1651 141014.0027.ec.fits: ap = 27, w1 = 7253.569, w2 = 7100.532, dw = -0.09275, nw = 1651 141014.0027.ec.fits: ap = 28, w1 = 7162.909, w2 = 7011.785, dw = -0.09159, nw = 1651 141014.0027.ec.fits: ap = 29, w1 = 7074.487, w2 = 6925.231, dw = -0.09046, nw = 1651 141014.0027.ec.fits: ap = 30, w1 = 6988.222, w2 = 6840.787, dw = -0.08935, nw = 1651 141014.0027.ec.fits: ap = 31, w1 = 6904.035, w2 = 6758.378, dw = -0.08828, nw = 1651 141014.0027.ec.fits: ap = 32, w1 = 6821.853, w2 = 6677.931, dw = -0.08723, nw = 1651 141014.0027.ec.fits: ap = 33, w1 = 6741.604, w2 = 6599.377, dw = -0.0862, nw = 1651 141014.0027.ec.fits: ap = 34, w1 = 6663.222, w2 = 6522.65, dw = -0.0852, nw = 1651 141014.0027.ec.fits: ap = 35, w1 = 6586.642, w2 = 6447.687, dw = -0.08422, nw = 1651 141014.0027.ec.fits: ap = 36, w1 = 6511.802, w2 = 6374.427, dw = -0.08326, nw = 1651 141014.0027.ec.fits: ap = 37, w1 = 6438.644, w2 = 6302.814, dw = -0.08232, nw = 1651 141014.0027.ec.fits: ap = 38, w1 = 6367.112, w2 = 6232.793, dw = -0.08141, nw = 1651 141014.0027.ec.fits: ap = 39, w1 = 6297.152, w2 = 6164.31, dw = -0.08051, nw = 1651 141014.0027.ec.fits: ap = 40, w1 = 6228.712, w2 = 6097.316, dw = -0.07963, nw = 1651 141014.0027.ec.fits: ap = 41, w1 = 6161.745, w2 = 6031.763, dw = -0.07878, nw = 1651 141014.0027.ec.fits: ap = 42, w1 = 6096.203, w2 = 5967.605, dw = -0.07794, nw = 1651 141014.0027.ec.fits: ap = 43, w1 = 6032.04, w2 = 5904.798, dw = -0.07712, nw = 1651 141014.0027.ec.fits: ap = 44, w1 = 5969.214, w2 = 5843.299, dw = -0.07631, nw = 1651 141014.0027.ec.fits: ap = 45, w1 = 5907.684, w2 = 5783.068, dw = -0.07552, nw = 1651 141014.0027.ec.fits: ap = 46, w1 = 5847.409, w2 = 5724.066, dw = -0.07475, nw = 1651 141014.0027.ec.fits: ap = 47, w1 = 5788.352, w2 = 5666.257, dw = -0.074, nw = 1651 141014.0027.ec.fits: ap = 48, w1 = 5730.476, w2 = 5609.604, dw = -0.07326, nw = 1651 141014.0027.ec.fits: ap = 49, w1 = 5673.746, w2 = 5554.073, dw = -0.07253, nw = 1651 141014.0027.ec.fits: ap = 50, w1 = 5618.129, w2 = 5499.631, dw = -0.07182, nw = 1651 141014.0027.ec.fits: ap = 51, w1 = 5563.592, w2 = 5446.246, dw = -0.07112, nw = 1651 141014.0027.ec.fits: ap = 52, w1 = 5510.103, w2 = 5393.887, dw = -0.07043, nw = 1651 141014.0027.ec.fits: ap = 53, w1 = 5457.634, w2 = 5342.526, dw = -0.06976, nw = 1651 141014.0027.ec.fits: ap = 54, w1 = 5406.154, w2 = 5292.135, dw = -0.0691, nw = 1651 141014.0027.ec.fits: ap = 55, w1 = 5355.637, w2 = 5242.685, dw = -0.06846, nw = 1651 141014.0027.ec.fits: ap = 56, w1 = 5306.056, w2 = 5194.151, dw = -0.06782, nw = 1651 141014.0027.ec.fits: ap = 57, w1 = 5257.384, w2 = 5146.508, dw = -0.0672, nw = 1651 141014.0027.ec.fits: ap = 58, w1 = 5209.597, w2 = 5099.731, dw = -0.06659, nw = 1651 141014.0027.ec.fits: ap = 59, w1 = 5162.672, w2 = 5053.798, dw = -0.06598, nw = 1651 141014.0027.ec.fits: ap = 60, w1 = 5116.584, w2 = 5008.684, dw = -0.06539, nw = 1651 141014.0027.ec.fits: ap = 61, w1 = 5071.312, w2 = 4964.369, dw = -0.06481, nw = 1651 141014.0027.ec.fits: ap = 62, w1 = 5026.835, w2 = 4920.832, dw = -0.06424, nw = 1651 141014.0027.ec.fits: ap = 63, w1 = 4983.131, w2 = 4878.052, dw = -0.06368, nw = 1651 141014.0027.ec.fits: ap = 64, w1 = 4940.18, w2 = 4836.009, dw = -0.06313, nw = 1651 141014.0027.ec.fits: ap = 65, w1 = 4897.964, w2 = 4794.686, dw = -0.06259, nw = 1651 141014.0027.ec.fits: ap = 66, w1 = 4856.464, w2 = 4754.062, dw = -0.06206, nw = 1651 141014.0027.ec.fits: ap = 67, w1 = 4815.661, w2 = 4714.122, dw = -0.06154, nw = 1651 141014.0027.ec.fits: ap = 68, w1 = 4775.539, w2 = 4674.848, dw = -0.06102, nw = 1651 141014.0027.ec.fits: ap = 69, w1 = 4736.079, w2 = 4636.222, dw = -0.06052, nw = 1651 141014.0027.ec.fits: ap = 70, w1 = 4697.267, w2 = 4598.23, dw = -0.06002, nw = 1651 141014.0027.ec.fits: ap = 71, w1 = 4659.086, w2 = 4560.856, dw = -0.05953, nw = 1651 141014.0027.ec.fits: ap = 72, w1 = 4621.52, w2 = 4524.085, dw = -0.05905, nw = 1651 141014.0027.ec.fits: ap = 73, w1 = 4584.556, w2 = 4487.902, dw = -0.05858, nw = 1651 141014.0027.ec.fits: ap = 74, w1 = 4548.179, w2 = 4452.294, dw = -0.05811, nw = 1651 141014.0027.ec.fits: ap = 75, w1 = 4512.375, w2 = 4417.247, dw = -0.05765, nw = 1651 141014.0027.ec.fits: ap = 76, w1 = 4477.13, w2 = 4382.747, dw = -0.0572, nw = 1651 141014.0027.ec.fits: ap = 77, w1 = 4442.432, w2 = 4348.782, dw = -0.05676, nw = 1651 141014.0027.ec.fits: ap = 78, w1 = 4408.268, w2 = 4315.34, dw = -0.05632, nw = 1651 141014.0027.ec.fits: ap = 79, w1 = 4374.625, w2 = 4282.408, dw = -0.05589, nw = 1651 141014.0027.ec.fits: ap = 80, w1 = 4341.493, w2 = 4249.976, dw = -0.05546, nw = 1651 141014.0027.ec.fits: ap = 81, w1 = 4308.859, w2 = 4218.031, dw = -0.05505, nw = 1651 141014.0027.ec.fits: ap = 82, w1 = 4276.712, w2 = 4186.563, dw = -0.05464, nw = 1651 141014.0027.ec.fits: ap = 83, w1 = 4245.041, w2 = 4155.561, dw = -0.05423, nw = 1651 141014.0027.ec.fits: ap = 84, w1 = 4213.836, w2 = 4125.015, dw = -0.05383, nw = 1651 141014.0027.ec.fits: ap = 85, w1 = 4183.087, w2 = 4094.916, dw = -0.05344, nw = 1651 141014.0027.ec.fits: ap = 86, w1 = 4152.784, w2 = 4065.252, dw = -0.05305, nw = 1651 141014.0027.ec.fits: ap = 87, w1 = 4122.916, w2 = 4036.016, dw = -0.05267, nw = 1651 141014.0027.ec.fits: ap = 88, w1 = 4093.476, w2 = 4007.197, dw = -0.05229, nw = 1651 141014.0027.ec.fits: ap = 89, w1 = 4064.454, w2 = 3978.786, dw = -0.05192, nw = 1651 141014.0027.ec.fits: ap = 90, w1 = 4035.84, w2 = 3950.777, dw = -0.05155, nw = 1651 141014.0027.ec.fits: ap = 91, w1 = 4007.626, w2 = 3923.158, dw = -0.05119, nw = 1651 141014.0027.ec.fits: ap = 92, w1 = 3979.805, w2 = 3895.924, dw = -0.05084, nw = 1651 141014.0027.ec.fits: ap = 93, w1 = 3952.368, w2 = 3869.065, dw = -0.05049, nw = 1651 141014.0027.ec.fits: ap = 94, w1 = 3925.306, w2 = 3842.574, dw = -0.05014, nw = 1651 141014.0027.ec.fits: ap = 95, w1 = 3898.613, w2 = 3816.443, dw = -0.0498, nw = 1651 141014.0027.ec.fits: ap = 96, w1 = 3872.281, w2 = 3790.666, dw = -0.04946, nw = 1651 141014.0027.ec.fits: ap = 97, w1 = 3846.302, w2 = 3765.234, dw = -0.04913, nw = 1651 141014.0027.ec.fits: ap = 98, w1 = 3820.67, w2 = 3740.142, dw = -0.0488, nw = 1651 141014.0027.ec.fits: ap = 99, w1 = 3795.378, w2 = 3715.382, dw = -0.04848, nw = 1651 141014.0027.ec.fits: ap = 100, w1 = 3770.418, w2 = 3690.948, dw = -0.04816, nw = 1651 141014.0027.ec.fits: ap = 101, w1 = 3745.785, w2 = 3666.833, dw = -0.04785, nw = 1651 141014.0027.ec.fits: ap = 102, w1 = 3721.472, w2 = 3643.031, dw = -0.04754, nw = 1651 141014.0027.ec.fits: ap = 103, w1 = 3697.473, w2 = 3619.536, dw = -0.04723, nw = 1651 141014.0027.ec.fits: ap = 104, w1 = 3673.782, w2 = 3596.343, dw = -0.04693, nw = 1651 141014.0027.ec.fits: ap = 105, w1 = 3650.393, w2 = 3573.445, dw = -0.04664, nw = 1651 141014.0027.ec.fits: ap = 106, w1 = 3627.3, w2 = 3550.836, dw = -0.04634, nw = 1651 141014.0027.ec.fits: ap = 107, w1 = 3604.498, w2 = 3528.512, dw = -0.04605, nw = 1651 141014.0027.ec.fits: ap = 108, w1 = 3581.981, w2 = 3506.467, dw = -0.04577, nw = 1651 141014.0027.ec.fits: ap = 109, w1 = 3559.743, w2 = 3484.696, dw = -0.04548, nw = 1651 141014.0027.ec.fits: ap = 110, w1 = 3537.781, w2 = 3463.194, dw = -0.0452, nw = 1651 141014.0027.ec.fits: ap = 111, w1 = 3516.088, w2 = 3441.955, dw = -0.04493, nw = 1651 141014.0027.ec.fits: ap = 112, w1 = 3494.66, w2 = 3420.975, dw = -0.04466, nw = 1651 141014.0027.ec.fits: ap = 113, w1 = 3473.492, w2 = 3400.249, dw = -0.04439, nw = 1651 141014.0027.ec.fits: ap = 114, w1 = 3452.579, w2 = 3379.773, dw = -0.04412, nw = 1651 141014.0027.ec.fits: ap = 115, w1 = 3431.917, w2 = 3359.542, dw = -0.04386, nw = 1651 141014.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 0.87559801' 141014.0029.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.124402' 141014.0029.ec.fits: ap = 1, w1 = 10811.53, w2 = 10583.33, dw = -0.1383, nw = 1651 141014.0029.ec.fits: ap = 2, w1 = 10611.33, w2 = 10387.37, dw = -0.13574, nw = 1651 141014.0029.ec.fits: ap = 3, w1 = 10418.42, w2 = 10198.53, dw = -0.13327, nw = 1651 141014.0029.ec.fits: ap = 4, w1 = 10232.39, w2 = 10016.43, dw = -0.13088, nw = 1651 141014.0029.ec.fits: ap = 5, w1 = 10052.89, w2 = 9840.724, dw = -0.12858, nw = 1651 141014.0029.ec.fits: ap = 6, w1 = 9879.577, w2 = 9671.075, dw = -0.12636, nw = 1651 141014.0029.ec.fits: ap = 7, w1 = 9712.141, w2 = 9507.177, dw = -0.12422, nw = 1651 141014.0029.ec.fits: ap = 8, w1 = 9550.285, w2 = 9348.742, dw = -0.12215, nw = 1651 141014.0029.ec.fits: ap = 9, w1 = 9393.737, w2 = 9195.501, dw = -0.12014, nw = 1651 141014.0029.ec.fits: ap = 10, w1 = 9242.238, w2 = 9047.203, dw = -0.1182, nw = 1651 141014.0029.ec.fits: ap = 11, w1 = 9095.549, w2 = 8903.612, dw = -0.11633, nw = 1651 141014.0029.ec.fits: ap = 12, w1 = 8953.444, w2 = 8764.509, dw = -0.11451, nw = 1651 141014.0029.ec.fits: ap = 13, w1 = 8815.711, w2 = 8629.685, dw = -0.11274, nw = 1651 141014.0029.ec.fits: ap = 14, w1 = 8682.151, w2 = 8498.946, dw = -0.11103, nw = 1651 141014.0029.ec.fits: ap = 15, w1 = 8552.579, w2 = 8372.111, dw = -0.10937, nw = 1651 141014.0029.ec.fits: ap = 16, w1 = 8426.817, w2 = 8249.005, dw = -0.10776, nw = 1651 141014.0029.ec.fits: ap = 17, w1 = 8304.7, w2 = 8129.468, dw = -0.1062, nw = 1651 141014.0029.ec.fits: ap = 18, w1 = 8186.073, w2 = 8013.345, dw = -0.10468, nw = 1651 141014.0029.ec.fits: ap = 19, w1 = 8070.787, w2 = 7900.494, dw = -0.10321, nw = 1651 141014.0029.ec.fits: ap = 20, w1 = 7958.703, w2 = 7790.777, dw = -0.10177, nw = 1651 141014.0029.ec.fits: ap = 21, w1 = 7849.69, w2 = 7684.066, dw = -0.10038, nw = 1651 141014.0029.ec.fits: ap = 22, w1 = 7743.623, w2 = 7580.239, dw = -0.09902, nw = 1651 141014.0029.ec.fits: ap = 23, w1 = 7640.385, w2 = 7479.181, dw = -0.0977, nw = 1651 141014.0029.ec.fits: ap = 24, w1 = 7539.864, w2 = 7380.782, dw = -0.09641, nw = 1651 141014.0029.ec.fits: ap = 25, w1 = 7441.953, w2 = 7284.939, dw = -0.09516, nw = 1651 141014.0029.ec.fits: ap = 26, w1 = 7346.553, w2 = 7191.553, dw = -0.09394, nw = 1651 141014.0029.ec.fits: ap = 27, w1 = 7253.568, w2 = 7100.531, dw = -0.09275, nw = 1651 141014.0029.ec.fits: ap = 28, w1 = 7162.907, w2 = 7011.785, dw = -0.09159, nw = 1651 141014.0029.ec.fits: ap = 29, w1 = 7074.486, w2 = 6925.23, dw = -0.09046, nw = 1651 141014.0029.ec.fits: ap = 30, w1 = 6988.22, w2 = 6840.786, dw = -0.08935, nw = 1651 141014.0029.ec.fits: ap = 31, w1 = 6904.034, w2 = 6758.378, dw = -0.08828, nw = 1651 141014.0029.ec.fits: ap = 32, w1 = 6821.852, w2 = 6677.931, dw = -0.08722, nw = 1651 141014.0029.ec.fits: ap = 33, w1 = 6741.603, w2 = 6599.377, dw = -0.0862, nw = 1651 141014.0029.ec.fits: ap = 34, w1 = 6663.221, w2 = 6522.65, dw = -0.08519, nw = 1651 141014.0029.ec.fits: ap = 35, w1 = 6586.641, w2 = 6447.686, dw = -0.08421, nw = 1651 141014.0029.ec.fits: ap = 36, w1 = 6511.801, w2 = 6374.427, dw = -0.08326, nw = 1651 141014.0029.ec.fits: ap = 37, w1 = 6438.643, w2 = 6302.814, dw = -0.08232, nw = 1651 141014.0029.ec.fits: ap = 38, w1 = 6367.111, w2 = 6232.792, dw = -0.08141, nw = 1651 141014.0029.ec.fits: ap = 39, w1 = 6297.151, w2 = 6164.31, dw = -0.08051, nw = 1651 141014.0029.ec.fits: ap = 40, w1 = 6228.711, w2 = 6097.316, dw = -0.07963, nw = 1651 141014.0029.ec.fits: ap = 41, w1 = 6161.744, w2 = 6031.763, dw = -0.07878, nw = 1651 141014.0029.ec.fits: ap = 42, w1 = 6096.202, w2 = 5967.605, dw = -0.07794, nw = 1651 141014.0029.ec.fits: ap = 43, w1 = 6032.039, w2 = 5904.797, dw = -0.07712, nw = 1651 141014.0029.ec.fits: ap = 44, w1 = 5969.213, w2 = 5843.298, dw = -0.07631, nw = 1651 141014.0029.ec.fits: ap = 45, w1 = 5907.683, w2 = 5783.067, dw = -0.07552, nw = 1651 141014.0029.ec.fits: ap = 46, w1 = 5847.408, w2 = 5724.066, dw = -0.07475, nw = 1651 141014.0029.ec.fits: ap = 47, w1 = 5788.351, w2 = 5666.257, dw = -0.074, nw = 1651 141014.0029.ec.fits: ap = 48, w1 = 5730.475, w2 = 5609.603, dw = -0.07326, nw = 1651 141014.0029.ec.fits: ap = 49, w1 = 5673.745, w2 = 5554.071, dw = -0.07253, nw = 1651 141014.0029.ec.fits: ap = 50, w1 = 5618.128, w2 = 5499.629, dw = -0.07182, nw = 1651 141014.0029.ec.fits: ap = 51, w1 = 5563.591, w2 = 5446.244, dw = -0.07112, nw = 1651 141014.0029.ec.fits: ap = 52, w1 = 5510.102, w2 = 5393.886, dw = -0.07043, nw = 1651 141014.0029.ec.fits: ap = 53, w1 = 5457.633, w2 = 5342.525, dw = -0.06976, nw = 1651 141014.0029.ec.fits: ap = 54, w1 = 5406.153, w2 = 5292.134, dw = -0.0691, nw = 1651 141014.0029.ec.fits: ap = 55, w1 = 5355.636, w2 = 5242.684, dw = -0.06846, nw = 1651 141014.0029.ec.fits: ap = 56, w1 = 5306.055, w2 = 5194.15, dw = -0.06782, nw = 1651 141014.0029.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.507, dw = -0.0672, nw = 1651 141014.0029.ec.fits: ap = 58, w1 = 5209.597, w2 = 5099.73, dw = -0.06659, nw = 1651 141014.0029.ec.fits: ap = 59, w1 = 5162.671, w2 = 5053.796, dw = -0.06598, nw = 1651 141014.0029.ec.fits: ap = 60, w1 = 5116.584, w2 = 5008.683, dw = -0.06539, nw = 1651 141014.0029.ec.fits: ap = 61, w1 = 5071.312, w2 = 4964.368, dw = -0.06481, nw = 1651 141014.0029.ec.fits: ap = 62, w1 = 5026.834, w2 = 4920.831, dw = -0.06424, nw = 1651 141014.0029.ec.fits: ap = 63, w1 = 4983.131, w2 = 4878.05, dw = -0.06368, nw = 1651 141014.0029.ec.fits: ap = 64, w1 = 4940.18, w2 = 4836.008, dw = -0.06313, nw = 1651 141014.0029.ec.fits: ap = 65, w1 = 4897.965, w2 = 4794.684, dw = -0.06259, nw = 1651 141014.0029.ec.fits: ap = 66, w1 = 4856.464, w2 = 4754.061, dw = -0.06206, nw = 1651 141014.0029.ec.fits: ap = 67, w1 = 4815.662, w2 = 4714.121, dw = -0.06154, nw = 1651 141014.0029.ec.fits: ap = 68, w1 = 4775.539, w2 = 4674.846, dw = -0.06103, nw = 1651 141014.0029.ec.fits: ap = 69, w1 = 4736.08, w2 = 4636.221, dw = -0.06052, nw = 1651 141014.0029.ec.fits: ap = 70, w1 = 4697.267, w2 = 4598.229, dw = -0.06002, nw = 1651 141014.0029.ec.fits: ap = 71, w1 = 4659.086, w2 = 4560.855, dw = -0.05953, nw = 1651 141014.0029.ec.fits: ap = 72, w1 = 4621.521, w2 = 4524.084, dw = -0.05905, nw = 1651 141014.0029.ec.fits: ap = 73, w1 = 4584.557, w2 = 4487.901, dw = -0.05858, nw = 1651 141014.0029.ec.fits: ap = 74, w1 = 4548.18, w2 = 4452.292, dw = -0.05811, nw = 1651 141014.0029.ec.fits: ap = 75, w1 = 4512.376, w2 = 4417.245, dw = -0.05766, nw = 1651 141014.0029.ec.fits: ap = 76, w1 = 4477.131, w2 = 4382.745, dw = -0.0572, nw = 1651 141014.0029.ec.fits: ap = 77, w1 = 4442.433, w2 = 4348.78, dw = -0.05676, nw = 1651 141014.0029.ec.fits: ap = 78, w1 = 4408.269, w2 = 4315.338, dw = -0.05632, nw = 1651 141014.0029.ec.fits: ap = 79, w1 = 4374.627, w2 = 4282.406, dw = -0.05589, nw = 1651 141014.0029.ec.fits: ap = 80, w1 = 4341.494, w2 = 4249.974, dw = -0.05547, nw = 1651 141014.0029.ec.fits: ap = 81, w1 = 4308.86, w2 = 4218.029, dw = -0.05505, nw = 1651 141014.0029.ec.fits: ap = 82, w1 = 4276.713, w2 = 4186.561, dw = -0.05464, nw = 1651 141014.0029.ec.fits: ap = 83, w1 = 4245.043, w2 = 4155.56, dw = -0.05423, nw = 1651 141014.0029.ec.fits: ap = 84, w1 = 4213.839, w2 = 4125.014, dw = -0.05383, nw = 1651 141014.0029.ec.fits: ap = 85, w1 = 4183.09, w2 = 4094.915, dw = -0.05344, nw = 1651 141014.0029.ec.fits: ap = 86, w1 = 4152.787, w2 = 4065.251, dw = -0.05305, nw = 1651 141014.0029.ec.fits: ap = 87, w1 = 4122.92, w2 = 4036.015, dw = -0.05267, nw = 1651 141014.0029.ec.fits: ap = 88, w1 = 4093.479, w2 = 4007.196, dw = -0.05229, nw = 1651 141014.0029.ec.fits: ap = 89, w1 = 4064.457, w2 = 3978.786, dw = -0.05192, nw = 1651 141014.0029.ec.fits: ap = 90, w1 = 4035.843, w2 = 3950.776, dw = -0.05156, nw = 1651 141014.0029.ec.fits: ap = 91, w1 = 4007.63, w2 = 3923.158, dw = -0.0512, nw = 1651 141014.0029.ec.fits: ap = 92, w1 = 3979.809, w2 = 3895.923, dw = -0.05084, nw = 1651 141014.0029.ec.fits: ap = 93, w1 = 3952.372, w2 = 3869.064, dw = -0.05049, nw = 1651 141014.0029.ec.fits: ap = 94, w1 = 3925.31, w2 = 3842.573, dw = -0.05014, nw = 1651 141014.0029.ec.fits: ap = 95, w1 = 3898.618, w2 = 3816.443, dw = -0.0498, nw = 1651 141014.0029.ec.fits: ap = 96, w1 = 3872.286, w2 = 3790.666, dw = -0.04947, nw = 1651 141014.0029.ec.fits: ap = 97, w1 = 3846.307, w2 = 3765.234, dw = -0.04914, nw = 1651 141014.0029.ec.fits: ap = 98, w1 = 3820.675, w2 = 3740.142, dw = -0.04881, nw = 1651 141014.0029.ec.fits: ap = 99, w1 = 3795.383, w2 = 3715.382, dw = -0.04849, nw = 1651 141014.0029.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.948, dw = -0.04817, nw = 1651 141014.0029.ec.fits: ap = 101, w1 = 3745.791, w2 = 3666.833, dw = -0.04785, nw = 1651 141014.0029.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.032, dw = -0.04754, nw = 1651 141014.0029.ec.fits: ap = 103, w1 = 3697.479, w2 = 3619.537, dw = -0.04724, nw = 1651 141014.0029.ec.fits: ap = 104, w1 = 3673.788, w2 = 3596.344, dw = -0.04694, nw = 1651 141014.0029.ec.fits: ap = 105, w1 = 3650.399, w2 = 3573.445, dw = -0.04664, nw = 1651 141014.0029.ec.fits: ap = 106, w1 = 3627.306, w2 = 3550.837, dw = -0.04634, nw = 1651 141014.0029.ec.fits: ap = 107, w1 = 3604.504, w2 = 3528.513, dw = -0.04605, nw = 1651 141014.0029.ec.fits: ap = 108, w1 = 3581.987, w2 = 3506.469, dw = -0.04577, nw = 1651 141014.0029.ec.fits: ap = 109, w1 = 3559.75, w2 = 3484.698, dw = -0.04549, nw = 1651 141014.0029.ec.fits: ap = 110, w1 = 3537.788, w2 = 3463.196, dw = -0.04521, nw = 1651 141014.0029.ec.fits: ap = 111, w1 = 3516.096, w2 = 3441.958, dw = -0.04493, nw = 1651 141014.0029.ec.fits: ap = 112, w1 = 3494.668, w2 = 3420.978, dw = -0.04466, nw = 1651 141014.0029.ec.fits: ap = 113, w1 = 3473.501, w2 = 3400.253, dw = -0.04439, nw = 1651 141014.0029.ec.fits: ap = 114, w1 = 3452.587, w2 = 3379.776, dw = -0.04413, nw = 1651 141014.0029.ec.fits: ap = 115, w1 = 3431.925, w2 = 3359.546, dw = -0.04387, nw = 1651 141014.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 0.54946589' 141014.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.45053411' 141014.0030.ec.fits: ap = 1, w1 = 10811.54, w2 = 10583.34, dw = -0.1383, nw = 1651 141014.0030.ec.fits: ap = 2, w1 = 10611.34, w2 = 10387.38, dw = -0.13574, nw = 1651 141014.0030.ec.fits: ap = 3, w1 = 10418.42, w2 = 10198.53, dw = -0.13326, nw = 1651 141014.0030.ec.fits: ap = 4, w1 = 10232.39, w2 = 10016.44, dw = -0.13088, nw = 1651 141014.0030.ec.fits: ap = 5, w1 = 10052.89, w2 = 9840.729, dw = -0.12858, nw = 1651 141014.0030.ec.fits: ap = 6, w1 = 9879.579, w2 = 9671.079, dw = -0.12636, nw = 1651 141014.0030.ec.fits: ap = 7, w1 = 9712.142, w2 = 9507.179, dw = -0.12422, nw = 1651 141014.0030.ec.fits: ap = 8, w1 = 9550.286, w2 = 9348.743, dw = -0.12215, nw = 1651 141014.0030.ec.fits: ap = 9, w1 = 9393.737, w2 = 9195.501, dw = -0.12014, nw = 1651 141014.0030.ec.fits: ap = 10, w1 = 9242.238, w2 = 9047.202, dw = -0.1182, nw = 1651 141014.0030.ec.fits: ap = 11, w1 = 9095.548, w2 = 8903.611, dw = -0.11633, nw = 1651 141014.0030.ec.fits: ap = 12, w1 = 8953.443, w2 = 8764.507, dw = -0.11451, nw = 1651 141014.0030.ec.fits: ap = 13, w1 = 8815.709, w2 = 8629.683, dw = -0.11274, nw = 1651 141014.0030.ec.fits: ap = 14, w1 = 8682.149, w2 = 8498.943, dw = -0.11103, nw = 1651 141014.0030.ec.fits: ap = 15, w1 = 8552.576, w2 = 8372.108, dw = -0.10937, nw = 1651 141014.0030.ec.fits: ap = 16, w1 = 8426.814, w2 = 8249.002, dw = -0.10777, nw = 1651 141014.0030.ec.fits: ap = 17, w1 = 8304.697, w2 = 8129.464, dw = -0.1062, nw = 1651 141014.0030.ec.fits: ap = 18, w1 = 8186.07, w2 = 8013.341, dw = -0.10468, nw = 1651 141014.0030.ec.fits: ap = 19, w1 = 8070.783, w2 = 7900.49, dw = -0.10321, nw = 1651 141014.0030.ec.fits: ap = 20, w1 = 7958.7, w2 = 7790.773, dw = -0.10177, nw = 1651 141014.0030.ec.fits: ap = 21, w1 = 7849.687, w2 = 7684.062, dw = -0.10038, nw = 1651 141014.0030.ec.fits: ap = 22, w1 = 7743.62, w2 = 7580.235, dw = -0.09902, nw = 1651 141014.0030.ec.fits: ap = 23, w1 = 7640.381, w2 = 7479.177, dw = -0.0977, nw = 1651 141014.0030.ec.fits: ap = 24, w1 = 7539.86, w2 = 7380.778, dw = -0.09641, nw = 1651 141014.0030.ec.fits: ap = 25, w1 = 7441.949, w2 = 7284.935, dw = -0.09516, nw = 1651 141014.0030.ec.fits: ap = 26, w1 = 7346.549, w2 = 7191.549, dw = -0.09394, nw = 1651 141014.0030.ec.fits: ap = 27, w1 = 7253.564, w2 = 7100.528, dw = -0.09275, nw = 1651 141014.0030.ec.fits: ap = 28, w1 = 7162.904, w2 = 7011.782, dw = -0.09159, nw = 1651 141014.0030.ec.fits: ap = 29, w1 = 7074.482, w2 = 6925.227, dw = -0.09046, nw = 1651 141014.0030.ec.fits: ap = 30, w1 = 6988.217, w2 = 6840.784, dw = -0.08935, nw = 1651 141014.0030.ec.fits: ap = 31, w1 = 6904.031, w2 = 6758.375, dw = -0.08828, nw = 1651 141014.0030.ec.fits: ap = 32, w1 = 6821.849, w2 = 6677.928, dw = -0.08722, nw = 1651 141014.0030.ec.fits: ap = 33, w1 = 6741.6, w2 = 6599.374, dw = -0.0862, nw = 1651 141014.0030.ec.fits: ap = 34, w1 = 6663.218, w2 = 6522.648, dw = -0.08519, nw = 1651 141014.0030.ec.fits: ap = 35, w1 = 6586.638, w2 = 6447.685, dw = -0.08421, nw = 1651 141014.0030.ec.fits: ap = 36, w1 = 6511.799, w2 = 6374.425, dw = -0.08326, nw = 1651 141014.0030.ec.fits: ap = 37, w1 = 6438.641, w2 = 6302.813, dw = -0.08232, nw = 1651 141014.0030.ec.fits: ap = 38, w1 = 6367.109, w2 = 6232.791, dw = -0.0814, nw = 1651 141014.0030.ec.fits: ap = 39, w1 = 6297.149, w2 = 6164.309, dw = -0.08051, nw = 1651 141014.0030.ec.fits: ap = 40, w1 = 6228.71, w2 = 6097.315, dw = -0.07963, nw = 1651 141014.0030.ec.fits: ap = 41, w1 = 6161.743, w2 = 6031.762, dw = -0.07878, nw = 1651 141014.0030.ec.fits: ap = 42, w1 = 6096.201, w2 = 5967.604, dw = -0.07794, nw = 1651 141014.0030.ec.fits: ap = 43, w1 = 6032.038, w2 = 5904.797, dw = -0.07712, nw = 1651 141014.0030.ec.fits: ap = 44, w1 = 5969.213, w2 = 5843.298, dw = -0.07631, nw = 1651 141014.0030.ec.fits: ap = 45, w1 = 5907.682, w2 = 5783.068, dw = -0.07552, nw = 1651 141014.0030.ec.fits: ap = 46, w1 = 5847.408, w2 = 5724.066, dw = -0.07475, nw = 1651 141014.0030.ec.fits: ap = 47, w1 = 5788.351, w2 = 5666.257, dw = -0.074, nw = 1651 141014.0030.ec.fits: ap = 48, w1 = 5730.476, w2 = 5609.604, dw = -0.07326, nw = 1651 141014.0030.ec.fits: ap = 49, w1 = 5673.746, w2 = 5554.072, dw = -0.07253, nw = 1651 141014.0030.ec.fits: ap = 50, w1 = 5618.129, w2 = 5499.63, dw = -0.07182, nw = 1651 141014.0030.ec.fits: ap = 51, w1 = 5563.592, w2 = 5446.245, dw = -0.07112, nw = 1651 141014.0030.ec.fits: ap = 52, w1 = 5510.104, w2 = 5393.887, dw = -0.07043, nw = 1651 141014.0030.ec.fits: ap = 53, w1 = 5457.634, w2 = 5342.527, dw = -0.06976, nw = 1651 141014.0030.ec.fits: ap = 54, w1 = 5406.155, w2 = 5292.135, dw = -0.0691, nw = 1651 141014.0030.ec.fits: ap = 55, w1 = 5355.638, w2 = 5242.685, dw = -0.06846, nw = 1651 141014.0030.ec.fits: ap = 56, w1 = 5306.057, w2 = 5194.152, dw = -0.06782, nw = 1651 141014.0030.ec.fits: ap = 57, w1 = 5257.385, w2 = 5146.508, dw = -0.0672, nw = 1651 141014.0030.ec.fits: ap = 58, w1 = 5209.599, w2 = 5099.732, dw = -0.06659, nw = 1651 141014.0030.ec.fits: ap = 59, w1 = 5162.673, w2 = 5053.798, dw = -0.06599, nw = 1651 141014.0030.ec.fits: ap = 60, w1 = 5116.586, w2 = 5008.684, dw = -0.0654, nw = 1651 141014.0030.ec.fits: ap = 61, w1 = 5071.314, w2 = 4964.369, dw = -0.06482, nw = 1651 141014.0030.ec.fits: ap = 62, w1 = 5026.837, w2 = 4920.832, dw = -0.06425, nw = 1651 141014.0030.ec.fits: ap = 63, w1 = 4983.133, w2 = 4878.051, dw = -0.06369, nw = 1651 141014.0030.ec.fits: ap = 64, w1 = 4940.183, w2 = 4836.009, dw = -0.06314, nw = 1651 141014.0030.ec.fits: ap = 65, w1 = 4897.967, w2 = 4794.685, dw = -0.0626, nw = 1651 141014.0030.ec.fits: ap = 66, w1 = 4856.467, w2 = 4754.062, dw = -0.06206, nw = 1651 141014.0030.ec.fits: ap = 67, w1 = 4815.664, w2 = 4714.122, dw = -0.06154, nw = 1651 141014.0030.ec.fits: ap = 68, w1 = 4775.542, w2 = 4674.847, dw = -0.06103, nw = 1651 141014.0030.ec.fits: ap = 69, w1 = 4736.082, w2 = 4636.221, dw = -0.06052, nw = 1651 141014.0030.ec.fits: ap = 70, w1 = 4697.27, w2 = 4598.229, dw = -0.06002, nw = 1651 141014.0030.ec.fits: ap = 71, w1 = 4659.089, w2 = 4560.855, dw = -0.05954, nw = 1651 141014.0030.ec.fits: ap = 72, w1 = 4621.523, w2 = 4524.084, dw = -0.05905, nw = 1651 141014.0030.ec.fits: ap = 73, w1 = 4584.559, w2 = 4487.901, dw = -0.05858, nw = 1651 141014.0030.ec.fits: ap = 74, w1 = 4548.182, w2 = 4452.292, dw = -0.05812, nw = 1651 141014.0030.ec.fits: ap = 75, w1 = 4512.377, w2 = 4417.244, dw = -0.05766, nw = 1651 141014.0030.ec.fits: ap = 76, w1 = 4477.133, w2 = 4382.744, dw = -0.05721, nw = 1651 141014.0030.ec.fits: ap = 77, w1 = 4442.434, w2 = 4348.779, dw = -0.05676, nw = 1651 141014.0030.ec.fits: ap = 78, w1 = 4408.27, w2 = 4315.337, dw = -0.05632, nw = 1651 141014.0030.ec.fits: ap = 79, w1 = 4374.627, w2 = 4282.405, dw = -0.05589, nw = 1651 141014.0030.ec.fits: ap = 80, w1 = 4341.494, w2 = 4249.972, dw = -0.05547, nw = 1651 141014.0030.ec.fits: ap = 81, w1 = 4308.86, w2 = 4218.027, dw = -0.05505, nw = 1651 141014.0030.ec.fits: ap = 82, w1 = 4276.712, w2 = 4186.559, dw = -0.05464, nw = 1651 141014.0030.ec.fits: ap = 83, w1 = 4245.042, w2 = 4155.557, dw = -0.05423, nw = 1651 141014.0030.ec.fits: ap = 84, w1 = 4213.837, w2 = 4125.012, dw = -0.05383, nw = 1651 141014.0030.ec.fits: ap = 85, w1 = 4183.087, w2 = 4094.912, dw = -0.05344, nw = 1651 141014.0030.ec.fits: ap = 86, w1 = 4152.784, w2 = 4065.248, dw = -0.05305, nw = 1651 141014.0030.ec.fits: ap = 87, w1 = 4122.916, w2 = 4036.011, dw = -0.05267, nw = 1651 141014.0030.ec.fits: ap = 88, w1 = 4093.475, w2 = 4007.192, dw = -0.05229, nw = 1651 141014.0030.ec.fits: ap = 89, w1 = 4064.452, w2 = 3978.782, dw = -0.05192, nw = 1651 141014.0030.ec.fits: ap = 90, w1 = 4035.838, w2 = 3950.772, dw = -0.05156, nw = 1651 141014.0030.ec.fits: ap = 91, w1 = 4007.624, w2 = 3923.153, dw = -0.05119, nw = 1651 141014.0030.ec.fits: ap = 92, w1 = 3979.802, w2 = 3895.919, dw = -0.05084, nw = 1651 141014.0030.ec.fits: ap = 93, w1 = 3952.364, w2 = 3869.06, dw = -0.05049, nw = 1651 141014.0030.ec.fits: ap = 94, w1 = 3925.302, w2 = 3842.568, dw = -0.05014, nw = 1651 141014.0030.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.438, dw = -0.0498, nw = 1651 141014.0030.ec.fits: ap = 96, w1 = 3872.275, w2 = 3790.66, dw = -0.04946, nw = 1651 141014.0030.ec.fits: ap = 97, w1 = 3846.296, w2 = 3765.229, dw = -0.04913, nw = 1651 141014.0030.ec.fits: ap = 98, w1 = 3820.663, w2 = 3740.136, dw = -0.0488, nw = 1651 141014.0030.ec.fits: ap = 99, w1 = 3795.369, w2 = 3715.376, dw = -0.04848, nw = 1651 141014.0030.ec.fits: ap = 100, w1 = 3770.409, w2 = 3690.942, dw = -0.04816, nw = 1651 141014.0030.ec.fits: ap = 101, w1 = 3745.775, w2 = 3666.827, dw = -0.04785, nw = 1651 141014.0030.ec.fits: ap = 102, w1 = 3721.461, w2 = 3643.026, dw = -0.04754, nw = 1651 141014.0030.ec.fits: ap = 103, w1 = 3697.461, w2 = 3619.531, dw = -0.04723, nw = 1651 141014.0030.ec.fits: ap = 104, w1 = 3673.769, w2 = 3596.338, dw = -0.04693, nw = 1651 141014.0030.ec.fits: ap = 105, w1 = 3650.378, w2 = 3573.439, dw = -0.04663, nw = 1651 141014.0030.ec.fits: ap = 106, w1 = 3627.284, w2 = 3550.831, dw = -0.04634, nw = 1651 141014.0030.ec.fits: ap = 107, w1 = 3604.48, w2 = 3528.507, dw = -0.04604, nw = 1651 141014.0030.ec.fits: ap = 108, w1 = 3581.962, w2 = 3506.463, dw = -0.04576, nw = 1651 141014.0030.ec.fits: ap = 109, w1 = 3559.724, w2 = 3484.692, dw = -0.04547, nw = 1651 141014.0030.ec.fits: ap = 110, w1 = 3537.76, w2 = 3463.19, dw = -0.04519, nw = 1651 141014.0030.ec.fits: ap = 111, w1 = 3516.066, w2 = 3441.951, dw = -0.04492, nw = 1651 141014.0030.ec.fits: ap = 112, w1 = 3494.636, w2 = 3420.972, dw = -0.04465, nw = 1651 141014.0030.ec.fits: ap = 113, w1 = 3473.467, w2 = 3400.247, dw = -0.04438, nw = 1651 141014.0030.ec.fits: ap = 114, w1 = 3452.552, w2 = 3379.771, dw = -0.04411, nw = 1651 141014.0030.ec.fits: ap = 115, w1 = 3431.888, w2 = 3359.54, dw = -0.04385, nw = 1651 141014.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 0.14768599' 141014.0031.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.852314' 141014.0031.ec.fits: ap = 1, w1 = 10811.55, w2 = 10583.36, dw = -0.1383, nw = 1651 141014.0031.ec.fits: ap = 2, w1 = 10611.35, w2 = 10387.39, dw = -0.13573, nw = 1651 141014.0031.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.55, dw = -0.13326, nw = 1651 141014.0031.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.45, dw = -0.13088, nw = 1651 141014.0031.ec.fits: ap = 5, w1 = 10052.89, w2 = 9840.735, dw = -0.12858, nw = 1651 141014.0031.ec.fits: ap = 6, w1 = 9879.582, w2 = 9671.083, dw = -0.12636, nw = 1651 141014.0031.ec.fits: ap = 7, w1 = 9712.144, w2 = 9507.182, dw = -0.12422, nw = 1651 141014.0031.ec.fits: ap = 8, w1 = 9550.287, w2 = 9348.745, dw = -0.12215, nw = 1651 141014.0031.ec.fits: ap = 9, w1 = 9393.737, w2 = 9195.501, dw = -0.12014, nw = 1651 141014.0031.ec.fits: ap = 10, w1 = 9242.237, w2 = 9047.202, dw = -0.1182, nw = 1651 141014.0031.ec.fits: ap = 11, w1 = 9095.547, w2 = 8903.609, dw = -0.11633, nw = 1651 141014.0031.ec.fits: ap = 12, w1 = 8953.441, w2 = 8764.505, dw = -0.11451, nw = 1651 141014.0031.ec.fits: ap = 13, w1 = 8815.707, w2 = 8629.68, dw = -0.11274, nw = 1651 141014.0031.ec.fits: ap = 14, w1 = 8682.146, w2 = 8498.94, dw = -0.11103, nw = 1651 141014.0031.ec.fits: ap = 15, w1 = 8552.573, w2 = 8372.104, dw = -0.10938, nw = 1651 141014.0031.ec.fits: ap = 16, w1 = 8426.811, w2 = 8248.997, dw = -0.10777, nw = 1651 141014.0031.ec.fits: ap = 17, w1 = 8304.694, w2 = 8129.459, dw = -0.1062, nw = 1651 141014.0031.ec.fits: ap = 18, w1 = 8186.066, w2 = 8013.337, dw = -0.10468, nw = 1651 141014.0031.ec.fits: ap = 19, w1 = 8070.779, w2 = 7900.485, dw = -0.10321, nw = 1651 141014.0031.ec.fits: ap = 20, w1 = 7958.695, w2 = 7790.768, dw = -0.10177, nw = 1651 141014.0031.ec.fits: ap = 21, w1 = 7849.682, w2 = 7684.057, dw = -0.10038, nw = 1651 141014.0031.ec.fits: ap = 22, w1 = 7743.615, w2 = 7580.23, dw = -0.09902, nw = 1651 141014.0031.ec.fits: ap = 23, w1 = 7640.377, w2 = 7479.172, dw = -0.0977, nw = 1651 141014.0031.ec.fits: ap = 24, w1 = 7539.855, w2 = 7380.773, dw = -0.09641, nw = 1651 141014.0031.ec.fits: ap = 25, w1 = 7441.945, w2 = 7284.93, dw = -0.09516, nw = 1651 141014.0031.ec.fits: ap = 26, w1 = 7346.545, w2 = 7191.545, dw = -0.09394, nw = 1651 141014.0031.ec.fits: ap = 27, w1 = 7253.56, w2 = 7100.523, dw = -0.09275, nw = 1651 141014.0031.ec.fits: ap = 28, w1 = 7162.9, w2 = 7011.778, dw = -0.09159, nw = 1651 141014.0031.ec.fits: ap = 29, w1 = 7074.478, w2 = 6925.223, dw = -0.09046, nw = 1651 141014.0031.ec.fits: ap = 30, w1 = 6988.213, w2 = 6840.78, dw = -0.08935, nw = 1651 141014.0031.ec.fits: ap = 31, w1 = 6904.027, w2 = 6758.371, dw = -0.08828, nw = 1651 141014.0031.ec.fits: ap = 32, w1 = 6821.845, w2 = 6677.925, dw = -0.08722, nw = 1651 141014.0031.ec.fits: ap = 33, w1 = 6741.597, w2 = 6599.372, dw = -0.0862, nw = 1651 141014.0031.ec.fits: ap = 34, w1 = 6663.215, w2 = 6522.645, dw = -0.08519, nw = 1651 141014.0031.ec.fits: ap = 35, w1 = 6586.635, w2 = 6447.682, dw = -0.08421, nw = 1651 141014.0031.ec.fits: ap = 36, w1 = 6511.796, w2 = 6374.423, dw = -0.08326, nw = 1651 141014.0031.ec.fits: ap = 37, w1 = 6438.638, w2 = 6302.811, dw = -0.08232, nw = 1651 141014.0031.ec.fits: ap = 38, w1 = 6367.106, w2 = 6232.79, dw = -0.0814, nw = 1651 141014.0031.ec.fits: ap = 39, w1 = 6297.147, w2 = 6164.308, dw = -0.08051, nw = 1651 141014.0031.ec.fits: ap = 40, w1 = 6228.708, w2 = 6097.314, dw = -0.07963, nw = 1651 141014.0031.ec.fits: ap = 41, w1 = 6161.741, w2 = 6031.762, dw = -0.07878, nw = 1651 141014.0031.ec.fits: ap = 42, w1 = 6096.199, w2 = 5967.604, dw = -0.07794, nw = 1651 141014.0031.ec.fits: ap = 43, w1 = 6032.037, w2 = 5904.797, dw = -0.07712, nw = 1651 141014.0031.ec.fits: ap = 44, w1 = 5969.212, w2 = 5843.298, dw = -0.07631, nw = 1651 141014.0031.ec.fits: ap = 45, w1 = 5907.682, w2 = 5783.068, dw = -0.07552, nw = 1651 141014.0031.ec.fits: ap = 46, w1 = 5847.408, w2 = 5724.067, dw = -0.07475, nw = 1651 141014.0031.ec.fits: ap = 47, w1 = 5788.351, w2 = 5666.258, dw = -0.074, nw = 1651 141014.0031.ec.fits: ap = 48, w1 = 5730.476, w2 = 5609.605, dw = -0.07326, nw = 1651 141014.0031.ec.fits: ap = 49, w1 = 5673.747, w2 = 5554.074, dw = -0.07253, nw = 1651 141014.0031.ec.fits: ap = 50, w1 = 5618.13, w2 = 5499.632, dw = -0.07182, nw = 1651 141014.0031.ec.fits: ap = 51, w1 = 5563.593, w2 = 5446.247, dw = -0.07112, nw = 1651 141014.0031.ec.fits: ap = 52, w1 = 5510.105, w2 = 5393.889, dw = -0.07043, nw = 1651 141014.0031.ec.fits: ap = 53, w1 = 5457.636, w2 = 5342.528, dw = -0.06976, nw = 1651 141014.0031.ec.fits: ap = 54, w1 = 5406.157, w2 = 5292.137, dw = -0.0691, nw = 1651 141014.0031.ec.fits: ap = 55, w1 = 5355.64, w2 = 5242.687, dw = -0.06846, nw = 1651 141014.0031.ec.fits: ap = 56, w1 = 5306.059, w2 = 5194.153, dw = -0.06782, nw = 1651 141014.0031.ec.fits: ap = 57, w1 = 5257.388, w2 = 5146.51, dw = -0.0672, nw = 1651 141014.0031.ec.fits: ap = 58, w1 = 5209.601, w2 = 5099.733, dw = -0.06659, nw = 1651 141014.0031.ec.fits: ap = 59, w1 = 5162.676, w2 = 5053.799, dw = -0.06599, nw = 1651 141014.0031.ec.fits: ap = 60, w1 = 5116.589, w2 = 5008.686, dw = -0.0654, nw = 1651 141014.0031.ec.fits: ap = 61, w1 = 5071.317, w2 = 4964.371, dw = -0.06482, nw = 1651 141014.0031.ec.fits: ap = 62, w1 = 5026.84, w2 = 4920.833, dw = -0.06425, nw = 1651 141014.0031.ec.fits: ap = 63, w1 = 4983.136, w2 = 4878.053, dw = -0.06369, nw = 1651 141014.0031.ec.fits: ap = 64, w1 = 4940.186, w2 = 4836.01, dw = -0.06314, nw = 1651 141014.0031.ec.fits: ap = 65, w1 = 4897.97, w2 = 4794.686, dw = -0.0626, nw = 1651 141014.0031.ec.fits: ap = 66, w1 = 4856.47, w2 = 4754.063, dw = -0.06206, nw = 1651 141014.0031.ec.fits: ap = 67, w1 = 4815.667, w2 = 4714.122, dw = -0.06154, nw = 1651 141014.0031.ec.fits: ap = 68, w1 = 4775.545, w2 = 4674.847, dw = -0.06103, nw = 1651 141014.0031.ec.fits: ap = 69, w1 = 4736.085, w2 = 4636.222, dw = -0.06052, nw = 1651 141014.0031.ec.fits: ap = 70, w1 = 4697.273, w2 = 4598.23, dw = -0.06003, nw = 1651 141014.0031.ec.fits: ap = 71, w1 = 4659.091, w2 = 4560.855, dw = -0.05954, nw = 1651 141014.0031.ec.fits: ap = 72, w1 = 4621.526, w2 = 4524.083, dw = -0.05906, nw = 1651 141014.0031.ec.fits: ap = 73, w1 = 4584.562, w2 = 4487.9, dw = -0.05858, nw = 1651 141014.0031.ec.fits: ap = 74, w1 = 4548.184, w2 = 4452.292, dw = -0.05812, nw = 1651 141014.0031.ec.fits: ap = 75, w1 = 4512.38, w2 = 4417.244, dw = -0.05766, nw = 1651 141014.0031.ec.fits: ap = 76, w1 = 4477.134, w2 = 4382.743, dw = -0.05721, nw = 1651 141014.0031.ec.fits: ap = 77, w1 = 4442.436, w2 = 4348.778, dw = -0.05676, nw = 1651 141014.0031.ec.fits: ap = 78, w1 = 4408.271, w2 = 4315.335, dw = -0.05632, nw = 1651 141014.0031.ec.fits: ap = 79, w1 = 4374.628, w2 = 4282.403, dw = -0.05589, nw = 1651 141014.0031.ec.fits: ap = 80, w1 = 4341.495, w2 = 4249.97, dw = -0.05547, nw = 1651 141014.0031.ec.fits: ap = 81, w1 = 4308.86, w2 = 4218.025, dw = -0.05505, nw = 1651 141014.0031.ec.fits: ap = 82, w1 = 4276.712, w2 = 4186.556, dw = -0.05464, nw = 1651 141014.0031.ec.fits: ap = 83, w1 = 4245.04, w2 = 4155.554, dw = -0.05423, nw = 1651 141014.0031.ec.fits: ap = 84, w1 = 4213.835, w2 = 4125.008, dw = -0.05383, nw = 1651 141014.0031.ec.fits: ap = 85, w1 = 4183.085, w2 = 4094.908, dw = -0.05344, nw = 1651 141014.0031.ec.fits: ap = 86, w1 = 4152.78, w2 = 4065.244, dw = -0.05305, nw = 1651 141014.0031.ec.fits: ap = 87, w1 = 4122.912, w2 = 4036.007, dw = -0.05267, nw = 1651 141014.0031.ec.fits: ap = 88, w1 = 4093.47, w2 = 4007.187, dw = -0.05229, nw = 1651 141014.0031.ec.fits: ap = 89, w1 = 4064.446, w2 = 3978.777, dw = -0.05192, nw = 1651 141014.0031.ec.fits: ap = 90, w1 = 4035.831, w2 = 3950.767, dw = -0.05155, nw = 1651 141014.0031.ec.fits: ap = 91, w1 = 4007.616, w2 = 3923.148, dw = -0.05119, nw = 1651 141014.0031.ec.fits: ap = 92, w1 = 3979.794, w2 = 3895.913, dw = -0.05084, nw = 1651 141014.0031.ec.fits: ap = 93, w1 = 3952.354, w2 = 3869.054, dw = -0.05049, nw = 1651 141014.0031.ec.fits: ap = 94, w1 = 3925.291, w2 = 3842.562, dw = -0.05014, nw = 1651 141014.0031.ec.fits: ap = 95, w1 = 3898.596, w2 = 3816.432, dw = -0.0498, nw = 1651 141014.0031.ec.fits: ap = 96, w1 = 3872.262, w2 = 3790.654, dw = -0.04946, nw = 1651 141014.0031.ec.fits: ap = 97, w1 = 3846.282, w2 = 3765.222, dw = -0.04913, nw = 1651 141014.0031.ec.fits: ap = 98, w1 = 3820.647, w2 = 3740.129, dw = -0.0488, nw = 1651 141014.0031.ec.fits: ap = 99, w1 = 3795.353, w2 = 3715.369, dw = -0.04847, nw = 1651 141014.0031.ec.fits: ap = 100, w1 = 3770.391, w2 = 3690.935, dw = -0.04816, nw = 1651 141014.0031.ec.fits: ap = 101, w1 = 3745.756, w2 = 3666.82, dw = -0.04784, nw = 1651 141014.0031.ec.fits: ap = 102, w1 = 3721.44, w2 = 3643.018, dw = -0.04753, nw = 1651 141014.0031.ec.fits: ap = 103, w1 = 3697.438, w2 = 3619.523, dw = -0.04722, nw = 1651 141014.0031.ec.fits: ap = 104, w1 = 3673.745, w2 = 3596.33, dw = -0.04692, nw = 1651 141014.0031.ec.fits: ap = 105, w1 = 3650.352, w2 = 3573.432, dw = -0.04662, nw = 1651 141014.0031.ec.fits: ap = 106, w1 = 3627.256, w2 = 3550.823, dw = -0.04632, nw = 1651 141014.0031.ec.fits: ap = 107, w1 = 3604.451, w2 = 3528.5, dw = -0.04603, nw = 1651 141014.0031.ec.fits: ap = 108, w1 = 3581.931, w2 = 3506.455, dw = -0.04574, nw = 1651 141014.0031.ec.fits: ap = 109, w1 = 3559.69, w2 = 3484.684, dw = -0.04546, nw = 1651 141014.0031.ec.fits: ap = 110, w1 = 3537.725, w2 = 3463.182, dw = -0.04518, nw = 1651 141014.0031.ec.fits: ap = 111, w1 = 3516.028, w2 = 3441.943, dw = -0.0449, nw = 1651 141014.0031.ec.fits: ap = 112, w1 = 3494.597, w2 = 3420.964, dw = -0.04463, nw = 1651 141014.0031.ec.fits: ap = 113, w1 = 3473.425, w2 = 3400.239, dw = -0.04436, nw = 1651 141014.0031.ec.fits: ap = 114, w1 = 3452.508, w2 = 3379.763, dw = -0.04409, nw = 1651 141014.0031.ec.fits: ap = 115, w1 = 3431.841, w2 = 3359.533, dw = -0.04382, nw = 1651 141014.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.78062296' 141014.0033.ec.fits: REFSPEC2 = 'EchelleThAr.0036.ec 0.21937704' 141014.0033.ec.fits: ap = 1, w1 = 10811.55, w2 = 10583.37, dw = -0.13829, nw = 1651 141014.0033.ec.fits: ap = 2, w1 = 10611.35, w2 = 10387.4, dw = -0.13573, nw = 1651 141014.0033.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.55, dw = -0.13326, nw = 1651 141014.0033.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.45, dw = -0.13088, nw = 1651 141014.0033.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.74, dw = -0.12858, nw = 1651 141014.0033.ec.fits: ap = 6, w1 = 9879.583, w2 = 9671.087, dw = -0.12636, nw = 1651 141014.0033.ec.fits: ap = 7, w1 = 9712.145, w2 = 9507.185, dw = -0.12422, nw = 1651 141014.0033.ec.fits: ap = 8, w1 = 9550.288, w2 = 9348.747, dw = -0.12215, nw = 1651 141014.0033.ec.fits: ap = 9, w1 = 9393.737, w2 = 9195.503, dw = -0.12014, nw = 1651 141014.0033.ec.fits: ap = 10, w1 = 9242.237, w2 = 9047.203, dw = -0.1182, nw = 1651 141014.0033.ec.fits: ap = 11, w1 = 9095.546, w2 = 8903.61, dw = -0.11633, nw = 1651 141014.0033.ec.fits: ap = 12, w1 = 8953.439, w2 = 8764.504, dw = -0.11451, nw = 1651 141014.0033.ec.fits: ap = 13, w1 = 8815.705, w2 = 8629.679, dw = -0.11274, nw = 1651 141014.0033.ec.fits: ap = 14, w1 = 8682.145, w2 = 8498.939, dw = -0.11103, nw = 1651 141014.0033.ec.fits: ap = 15, w1 = 8552.572, w2 = 8372.102, dw = -0.10938, nw = 1651 141014.0033.ec.fits: ap = 16, w1 = 8426.809, w2 = 8248.996, dw = -0.10777, nw = 1651 141014.0033.ec.fits: ap = 17, w1 = 8304.692, w2 = 8129.458, dw = -0.1062, nw = 1651 141014.0033.ec.fits: ap = 18, w1 = 8186.064, w2 = 8013.335, dw = -0.10468, nw = 1651 141014.0033.ec.fits: ap = 19, w1 = 8070.778, w2 = 7900.483, dw = -0.10321, nw = 1651 141014.0033.ec.fits: ap = 20, w1 = 7958.694, w2 = 7790.766, dw = -0.10177, nw = 1651 141014.0033.ec.fits: ap = 21, w1 = 7849.681, w2 = 7684.055, dw = -0.10038, nw = 1651 141014.0033.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.228, dw = -0.09902, nw = 1651 141014.0033.ec.fits: ap = 23, w1 = 7640.375, w2 = 7479.169, dw = -0.0977, nw = 1651 141014.0033.ec.fits: ap = 24, w1 = 7539.854, w2 = 7380.771, dw = -0.09641, nw = 1651 141014.0033.ec.fits: ap = 25, w1 = 7441.943, w2 = 7284.928, dw = -0.09516, nw = 1651 141014.0033.ec.fits: ap = 26, w1 = 7346.543, w2 = 7191.542, dw = -0.09394, nw = 1651 141014.0033.ec.fits: ap = 27, w1 = 7253.558, w2 = 7100.521, dw = -0.09275, nw = 1651 141014.0033.ec.fits: ap = 28, w1 = 7162.898, w2 = 7011.775, dw = -0.09159, nw = 1651 141014.0033.ec.fits: ap = 29, w1 = 7074.477, w2 = 6925.221, dw = -0.09046, nw = 1651 141014.0033.ec.fits: ap = 30, w1 = 6988.212, w2 = 6840.777, dw = -0.08935, nw = 1651 141014.0033.ec.fits: ap = 31, w1 = 6904.025, w2 = 6758.369, dw = -0.08828, nw = 1651 141014.0033.ec.fits: ap = 32, w1 = 6821.844, w2 = 6677.923, dw = -0.08722, nw = 1651 141014.0033.ec.fits: ap = 33, w1 = 6741.596, w2 = 6599.37, dw = -0.0862, nw = 1651 141014.0033.ec.fits: ap = 34, w1 = 6663.215, w2 = 6522.643, dw = -0.08519, nw = 1651 141014.0033.ec.fits: ap = 35, w1 = 6586.635, w2 = 6447.681, dw = -0.08421, nw = 1651 141014.0033.ec.fits: ap = 36, w1 = 6511.796, w2 = 6374.422, dw = -0.08326, nw = 1651 141014.0033.ec.fits: ap = 37, w1 = 6438.638, w2 = 6302.81, dw = -0.08232, nw = 1651 141014.0033.ec.fits: ap = 38, w1 = 6367.106, w2 = 6232.789, dw = -0.0814, nw = 1651 141014.0033.ec.fits: ap = 39, w1 = 6297.147, w2 = 6164.306, dw = -0.08051, nw = 1651 141014.0033.ec.fits: ap = 40, w1 = 6228.708, w2 = 6097.313, dw = -0.07963, nw = 1651 141014.0033.ec.fits: ap = 41, w1 = 6161.742, w2 = 6031.761, dw = -0.07878, nw = 1651 141014.0033.ec.fits: ap = 42, w1 = 6096.2, w2 = 5967.603, dw = -0.07794, nw = 1651 141014.0033.ec.fits: ap = 43, w1 = 6032.038, w2 = 5904.796, dw = -0.07712, nw = 1651 141014.0033.ec.fits: ap = 44, w1 = 5969.212, w2 = 5843.298, dw = -0.07631, nw = 1651 141014.0033.ec.fits: ap = 45, w1 = 5907.683, w2 = 5783.068, dw = -0.07552, nw = 1651 141014.0033.ec.fits: ap = 46, w1 = 5847.409, w2 = 5724.067, dw = -0.07475, nw = 1651 141014.0033.ec.fits: ap = 47, w1 = 5788.352, w2 = 5666.258, dw = -0.074, nw = 1651 141014.0033.ec.fits: ap = 48, w1 = 5730.477, w2 = 5609.605, dw = -0.07326, nw = 1651 141014.0033.ec.fits: ap = 49, w1 = 5673.748, w2 = 5554.074, dw = -0.07253, nw = 1651 141014.0033.ec.fits: ap = 50, w1 = 5618.131, w2 = 5499.632, dw = -0.07182, nw = 1651 141014.0033.ec.fits: ap = 51, w1 = 5563.594, w2 = 5446.247, dw = -0.07112, nw = 1651 141014.0033.ec.fits: ap = 52, w1 = 5510.107, w2 = 5393.889, dw = -0.07043, nw = 1651 141014.0033.ec.fits: ap = 53, w1 = 5457.638, w2 = 5342.529, dw = -0.06976, nw = 1651 141014.0033.ec.fits: ap = 54, w1 = 5406.159, w2 = 5292.137, dw = -0.0691, nw = 1651 141014.0033.ec.fits: ap = 55, w1 = 5355.642, w2 = 5242.688, dw = -0.06846, nw = 1651 141014.0033.ec.fits: ap = 56, w1 = 5306.061, w2 = 5194.154, dw = -0.06782, nw = 1651 141014.0033.ec.fits: ap = 57, w1 = 5257.389, w2 = 5146.511, dw = -0.0672, nw = 1651 141014.0033.ec.fits: ap = 58, w1 = 5209.603, w2 = 5099.734, dw = -0.06659, nw = 1651 141014.0033.ec.fits: ap = 59, w1 = 5162.678, w2 = 5053.8, dw = -0.06599, nw = 1651 141014.0033.ec.fits: ap = 60, w1 = 5116.591, w2 = 5008.687, dw = -0.0654, nw = 1651 141014.0033.ec.fits: ap = 61, w1 = 5071.319, w2 = 4964.371, dw = -0.06482, nw = 1651 141014.0033.ec.fits: ap = 62, w1 = 5026.842, w2 = 4920.834, dw = -0.06425, nw = 1651 141014.0033.ec.fits: ap = 63, w1 = 4983.138, w2 = 4878.054, dw = -0.06369, nw = 1651 141014.0033.ec.fits: ap = 64, w1 = 4940.188, w2 = 4836.011, dw = -0.06314, nw = 1651 141014.0033.ec.fits: ap = 65, w1 = 4897.972, w2 = 4794.687, dw = -0.0626, nw = 1651 141014.0033.ec.fits: ap = 66, w1 = 4856.472, w2 = 4754.064, dw = -0.06207, nw = 1651 141014.0033.ec.fits: ap = 67, w1 = 4815.669, w2 = 4714.123, dw = -0.06154, nw = 1651 141014.0033.ec.fits: ap = 68, w1 = 4775.547, w2 = 4674.849, dw = -0.06103, nw = 1651 141014.0033.ec.fits: ap = 69, w1 = 4736.087, w2 = 4636.223, dw = -0.06052, nw = 1651 141014.0033.ec.fits: ap = 70, w1 = 4697.275, w2 = 4598.231, dw = -0.06003, nw = 1651 141014.0033.ec.fits: ap = 71, w1 = 4659.094, w2 = 4560.856, dw = -0.05954, nw = 1651 141014.0033.ec.fits: ap = 72, w1 = 4621.528, w2 = 4524.085, dw = -0.05906, nw = 1651 141014.0033.ec.fits: ap = 73, w1 = 4584.563, w2 = 4487.901, dw = -0.05858, nw = 1651 141014.0033.ec.fits: ap = 74, w1 = 4548.186, w2 = 4452.292, dw = -0.05812, nw = 1651 141014.0033.ec.fits: ap = 75, w1 = 4512.381, w2 = 4417.244, dw = -0.05766, nw = 1651 141014.0033.ec.fits: ap = 76, w1 = 4477.136, w2 = 4382.744, dw = -0.05721, nw = 1651 141014.0033.ec.fits: ap = 77, w1 = 4442.438, w2 = 4348.779, dw = -0.05676, nw = 1651 141014.0033.ec.fits: ap = 78, w1 = 4408.273, w2 = 4315.336, dw = -0.05633, nw = 1651 141014.0033.ec.fits: ap = 79, w1 = 4374.63, w2 = 4282.404, dw = -0.05589, nw = 1651 141014.0033.ec.fits: ap = 80, w1 = 4341.497, w2 = 4249.971, dw = -0.05547, nw = 1651 141014.0033.ec.fits: ap = 81, w1 = 4308.862, w2 = 4218.026, dw = -0.05505, nw = 1651 141014.0033.ec.fits: ap = 82, w1 = 4276.715, w2 = 4186.558, dw = -0.05464, nw = 1651 141014.0033.ec.fits: ap = 83, w1 = 4245.043, w2 = 4155.556, dw = -0.05423, nw = 1651 141014.0033.ec.fits: ap = 84, w1 = 4213.837, w2 = 4125.009, dw = -0.05384, nw = 1651 141014.0033.ec.fits: ap = 85, w1 = 4183.087, w2 = 4094.909, dw = -0.05344, nw = 1651 141014.0033.ec.fits: ap = 86, w1 = 4152.783, w2 = 4065.245, dw = -0.05305, nw = 1651 141014.0033.ec.fits: ap = 87, w1 = 4122.914, w2 = 4036.008, dw = -0.05267, nw = 1651 141014.0033.ec.fits: ap = 88, w1 = 4093.473, w2 = 4007.188, dw = -0.05229, nw = 1651 141014.0033.ec.fits: ap = 89, w1 = 4064.449, w2 = 3978.778, dw = -0.05192, nw = 1651 141014.0033.ec.fits: ap = 90, w1 = 4035.834, w2 = 3950.767, dw = -0.05156, nw = 1651 141014.0033.ec.fits: ap = 91, w1 = 4007.619, w2 = 3923.149, dw = -0.05119, nw = 1651 141014.0033.ec.fits: ap = 92, w1 = 3979.796, w2 = 3895.914, dw = -0.05084, nw = 1651 141014.0033.ec.fits: ap = 93, w1 = 3952.357, w2 = 3869.054, dw = -0.05049, nw = 1651 141014.0033.ec.fits: ap = 94, w1 = 3925.294, w2 = 3842.563, dw = -0.05014, nw = 1651 141014.0033.ec.fits: ap = 95, w1 = 3898.599, w2 = 3816.432, dw = -0.0498, nw = 1651 141014.0033.ec.fits: ap = 96, w1 = 3872.265, w2 = 3790.655, dw = -0.04946, nw = 1651 141014.0033.ec.fits: ap = 97, w1 = 3846.285, w2 = 3765.223, dw = -0.04913, nw = 1651 141014.0033.ec.fits: ap = 98, w1 = 3820.651, w2 = 3740.13, dw = -0.0488, nw = 1651 141014.0033.ec.fits: ap = 99, w1 = 3795.356, w2 = 3715.37, dw = -0.04848, nw = 1651 141014.0033.ec.fits: ap = 100, w1 = 3770.395, w2 = 3690.936, dw = -0.04816, nw = 1651 141014.0033.ec.fits: ap = 101, w1 = 3745.76, w2 = 3666.821, dw = -0.04784, nw = 1651 141014.0033.ec.fits: ap = 102, w1 = 3721.444, w2 = 3643.019, dw = -0.04753, nw = 1651 141014.0033.ec.fits: ap = 103, w1 = 3697.443, w2 = 3619.524, dw = -0.04722, nw = 1651 141014.0033.ec.fits: ap = 104, w1 = 3673.749, w2 = 3596.331, dw = -0.04692, nw = 1651 141014.0033.ec.fits: ap = 105, w1 = 3650.357, w2 = 3573.433, dw = -0.04662, nw = 1651 141014.0033.ec.fits: ap = 106, w1 = 3627.262, w2 = 3550.825, dw = -0.04633, nw = 1651 141014.0033.ec.fits: ap = 107, w1 = 3604.457, w2 = 3528.501, dw = -0.04603, nw = 1651 141014.0033.ec.fits: ap = 108, w1 = 3581.937, w2 = 3506.457, dw = -0.04575, nw = 1651 141014.0033.ec.fits: ap = 109, w1 = 3559.696, w2 = 3484.686, dw = -0.04546, nw = 1651 141014.0033.ec.fits: ap = 110, w1 = 3537.731, w2 = 3463.184, dw = -0.04518, nw = 1651 141014.0033.ec.fits: ap = 111, w1 = 3516.035, w2 = 3441.945, dw = -0.0449, nw = 1651 141014.0033.ec.fits: ap = 112, w1 = 3494.603, w2 = 3420.966, dw = -0.04463, nw = 1651 141014.0033.ec.fits: ap = 113, w1 = 3473.432, w2 = 3400.241, dw = -0.04436, nw = 1651 141014.0033.ec.fits: ap = 114, w1 = 3452.515, w2 = 3379.766, dw = -0.04409, nw = 1651 141014.0033.ec.fits: ap = 115, w1 = 3431.849, w2 = 3359.536, dw = -0.04383, nw = 1651 141014.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.4557597' 141014.0034.ec.fits: REFSPEC2 = 'EchelleThAr.0036.ec 0.5442403' 141014.0034.ec.fits: ap = 1, w1 = 10811.55, w2 = 10583.38, dw = -0.13829, nw = 1651 141014.0034.ec.fits: ap = 2, w1 = 10611.35, w2 = 10387.4, dw = -0.13573, nw = 1651 141014.0034.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.56, dw = -0.13326, nw = 1651 141014.0034.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.46, dw = -0.13088, nw = 1651 141014.0034.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.744, dw = -0.12858, nw = 1651 141014.0034.ec.fits: ap = 6, w1 = 9879.584, w2 = 9671.091, dw = -0.12636, nw = 1651 141014.0034.ec.fits: ap = 7, w1 = 9712.145, w2 = 9507.189, dw = -0.12422, nw = 1651 141014.0034.ec.fits: ap = 8, w1 = 9550.288, w2 = 9348.75, dw = -0.12214, nw = 1651 141014.0034.ec.fits: ap = 9, w1 = 9393.738, w2 = 9195.505, dw = -0.12014, nw = 1651 141014.0034.ec.fits: ap = 10, w1 = 9242.237, w2 = 9047.205, dw = -0.1182, nw = 1651 141014.0034.ec.fits: ap = 11, w1 = 9095.546, w2 = 8903.612, dw = -0.11632, nw = 1651 141014.0034.ec.fits: ap = 12, w1 = 8953.439, w2 = 8764.505, dw = -0.11451, nw = 1651 141014.0034.ec.fits: ap = 13, w1 = 8815.705, w2 = 8629.68, dw = -0.11274, nw = 1651 141014.0034.ec.fits: ap = 14, w1 = 8682.145, w2 = 8498.94, dw = -0.11103, nw = 1651 141014.0034.ec.fits: ap = 15, w1 = 8552.572, w2 = 8372.103, dw = -0.10937, nw = 1651 141014.0034.ec.fits: ap = 16, w1 = 8426.809, w2 = 8248.996, dw = -0.10777, nw = 1651 141014.0034.ec.fits: ap = 17, w1 = 8304.692, w2 = 8129.458, dw = -0.1062, nw = 1651 141014.0034.ec.fits: ap = 18, w1 = 8186.064, w2 = 8013.335, dw = -0.10468, nw = 1651 141014.0034.ec.fits: ap = 19, w1 = 8070.778, w2 = 7900.483, dw = -0.10321, nw = 1651 141014.0034.ec.fits: ap = 20, w1 = 7958.694, w2 = 7790.765, dw = -0.10177, nw = 1651 141014.0034.ec.fits: ap = 21, w1 = 7849.681, w2 = 7684.054, dw = -0.10038, nw = 1651 141014.0034.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.227, dw = -0.09902, nw = 1651 141014.0034.ec.fits: ap = 23, w1 = 7640.376, w2 = 7479.169, dw = -0.0977, nw = 1651 141014.0034.ec.fits: ap = 24, w1 = 7539.854, w2 = 7380.77, dw = -0.09641, nw = 1651 141014.0034.ec.fits: ap = 25, w1 = 7441.944, w2 = 7284.927, dw = -0.09516, nw = 1651 141014.0034.ec.fits: ap = 26, w1 = 7346.544, w2 = 7191.541, dw = -0.09394, nw = 1651 141014.0034.ec.fits: ap = 27, w1 = 7253.559, w2 = 7100.52, dw = -0.09275, nw = 1651 141014.0034.ec.fits: ap = 28, w1 = 7162.899, w2 = 7011.774, dw = -0.09159, nw = 1651 141014.0034.ec.fits: ap = 29, w1 = 7074.478, w2 = 6925.22, dw = -0.09046, nw = 1651 141014.0034.ec.fits: ap = 30, w1 = 6988.213, w2 = 6840.776, dw = -0.08936, nw = 1651 141014.0034.ec.fits: ap = 31, w1 = 6904.027, w2 = 6758.368, dw = -0.08828, nw = 1651 141014.0034.ec.fits: ap = 32, w1 = 6821.845, w2 = 6677.922, dw = -0.08723, nw = 1651 141014.0034.ec.fits: ap = 33, w1 = 6741.597, w2 = 6599.369, dw = -0.0862, nw = 1651 141014.0034.ec.fits: ap = 34, w1 = 6663.216, w2 = 6522.642, dw = -0.0852, nw = 1651 141014.0034.ec.fits: ap = 35, w1 = 6586.636, w2 = 6447.68, dw = -0.08422, nw = 1651 141014.0034.ec.fits: ap = 36, w1 = 6511.797, w2 = 6374.421, dw = -0.08326, nw = 1651 141014.0034.ec.fits: ap = 37, w1 = 6438.639, w2 = 6302.809, dw = -0.08232, nw = 1651 141014.0034.ec.fits: ap = 38, w1 = 6367.108, w2 = 6232.788, dw = -0.08141, nw = 1651 141014.0034.ec.fits: ap = 39, w1 = 6297.148, w2 = 6164.306, dw = -0.08051, nw = 1651 141014.0034.ec.fits: ap = 40, w1 = 6228.71, w2 = 6097.312, dw = -0.07963, nw = 1651 141014.0034.ec.fits: ap = 41, w1 = 6161.743, w2 = 6031.76, dw = -0.07878, nw = 1651 141014.0034.ec.fits: ap = 42, w1 = 6096.201, w2 = 5967.602, dw = -0.07794, nw = 1651 141014.0034.ec.fits: ap = 43, w1 = 6032.039, w2 = 5904.795, dw = -0.07712, nw = 1651 141014.0034.ec.fits: ap = 44, w1 = 5969.214, w2 = 5843.297, dw = -0.07631, nw = 1651 141014.0034.ec.fits: ap = 45, w1 = 5907.684, w2 = 5783.067, dw = -0.07553, nw = 1651 141014.0034.ec.fits: ap = 46, w1 = 5847.41, w2 = 5724.066, dw = -0.07475, nw = 1651 141014.0034.ec.fits: ap = 47, w1 = 5788.353, w2 = 5666.257, dw = -0.074, nw = 1651 141014.0034.ec.fits: ap = 48, w1 = 5730.478, w2 = 5609.604, dw = -0.07326, nw = 1651 141014.0034.ec.fits: ap = 49, w1 = 5673.749, w2 = 5554.074, dw = -0.07253, nw = 1651 141014.0034.ec.fits: ap = 50, w1 = 5618.132, w2 = 5499.632, dw = -0.07182, nw = 1651 141014.0034.ec.fits: ap = 51, w1 = 5563.596, w2 = 5446.247, dw = -0.07112, nw = 1651 141014.0034.ec.fits: ap = 52, w1 = 5510.108, w2 = 5393.889, dw = -0.07044, nw = 1651 141014.0034.ec.fits: ap = 53, w1 = 5457.639, w2 = 5342.529, dw = -0.06976, nw = 1651 141014.0034.ec.fits: ap = 54, w1 = 5406.16, w2 = 5292.137, dw = -0.0691, nw = 1651 141014.0034.ec.fits: ap = 55, w1 = 5355.643, w2 = 5242.688, dw = -0.06846, nw = 1651 141014.0034.ec.fits: ap = 56, w1 = 5306.062, w2 = 5194.154, dw = -0.06782, nw = 1651 141014.0034.ec.fits: ap = 57, w1 = 5257.39, w2 = 5146.511, dw = -0.0672, nw = 1651 141014.0034.ec.fits: ap = 58, w1 = 5209.604, w2 = 5099.734, dw = -0.06659, nw = 1651 141014.0034.ec.fits: ap = 59, w1 = 5162.679, w2 = 5053.8, dw = -0.06599, nw = 1651 141014.0034.ec.fits: ap = 60, w1 = 5116.592, w2 = 5008.687, dw = -0.0654, nw = 1651 141014.0034.ec.fits: ap = 61, w1 = 5071.32, w2 = 4964.372, dw = -0.06482, nw = 1651 141014.0034.ec.fits: ap = 62, w1 = 5026.843, w2 = 4920.835, dw = -0.06425, nw = 1651 141014.0034.ec.fits: ap = 63, w1 = 4983.139, w2 = 4878.054, dw = -0.06369, nw = 1651 141014.0034.ec.fits: ap = 64, w1 = 4940.189, w2 = 4836.012, dw = -0.06314, nw = 1651 141014.0034.ec.fits: ap = 65, w1 = 4897.973, w2 = 4794.688, dw = -0.0626, nw = 1651 141014.0034.ec.fits: ap = 66, w1 = 4856.473, w2 = 4754.065, dw = -0.06207, nw = 1651 141014.0034.ec.fits: ap = 67, w1 = 4815.67, w2 = 4714.124, dw = -0.06154, nw = 1651 141014.0034.ec.fits: ap = 68, w1 = 4775.548, w2 = 4674.85, dw = -0.06103, nw = 1651 141014.0034.ec.fits: ap = 69, w1 = 4736.089, w2 = 4636.224, dw = -0.06052, nw = 1651 141014.0034.ec.fits: ap = 70, w1 = 4697.276, w2 = 4598.232, dw = -0.06003, nw = 1651 141014.0034.ec.fits: ap = 71, w1 = 4659.095, w2 = 4560.858, dw = -0.05954, nw = 1651 141014.0034.ec.fits: ap = 72, w1 = 4621.53, w2 = 4524.086, dw = -0.05906, nw = 1651 141014.0034.ec.fits: ap = 73, w1 = 4584.565, w2 = 4487.903, dw = -0.05858, nw = 1651 141014.0034.ec.fits: ap = 74, w1 = 4548.188, w2 = 4452.294, dw = -0.05812, nw = 1651 141014.0034.ec.fits: ap = 75, w1 = 4512.383, w2 = 4417.246, dw = -0.05766, nw = 1651 141014.0034.ec.fits: ap = 76, w1 = 4477.139, w2 = 4382.746, dw = -0.05721, nw = 1651 141014.0034.ec.fits: ap = 77, w1 = 4442.44, w2 = 4348.781, dw = -0.05676, nw = 1651 141014.0034.ec.fits: ap = 78, w1 = 4408.276, w2 = 4315.339, dw = -0.05633, nw = 1651 141014.0034.ec.fits: ap = 79, w1 = 4374.633, w2 = 4282.407, dw = -0.05589, nw = 1651 141014.0034.ec.fits: ap = 80, w1 = 4341.5, w2 = 4249.974, dw = -0.05547, nw = 1651 141014.0034.ec.fits: ap = 81, w1 = 4308.866, w2 = 4218.029, dw = -0.05505, nw = 1651 141014.0034.ec.fits: ap = 82, w1 = 4276.718, w2 = 4186.561, dw = -0.05464, nw = 1651 141014.0034.ec.fits: ap = 83, w1 = 4245.047, w2 = 4155.559, dw = -0.05424, nw = 1651 141014.0034.ec.fits: ap = 84, w1 = 4213.842, w2 = 4125.012, dw = -0.05384, nw = 1651 141014.0034.ec.fits: ap = 85, w1 = 4183.092, w2 = 4094.912, dw = -0.05344, nw = 1651 141014.0034.ec.fits: ap = 86, w1 = 4152.788, w2 = 4065.248, dw = -0.05305, nw = 1651 141014.0034.ec.fits: ap = 87, w1 = 4122.92, w2 = 4036.011, dw = -0.05267, nw = 1651 141014.0034.ec.fits: ap = 88, w1 = 4093.479, w2 = 4007.192, dw = -0.0523, nw = 1651 141014.0034.ec.fits: ap = 89, w1 = 4064.456, w2 = 3978.781, dw = -0.05192, nw = 1651 141014.0034.ec.fits: ap = 90, w1 = 4035.842, w2 = 3950.771, dw = -0.05156, nw = 1651 141014.0034.ec.fits: ap = 91, w1 = 4007.627, w2 = 3923.153, dw = -0.0512, nw = 1651 141014.0034.ec.fits: ap = 92, w1 = 3979.805, w2 = 3895.918, dw = -0.05084, nw = 1651 141014.0034.ec.fits: ap = 93, w1 = 3952.367, w2 = 3869.059, dw = -0.05049, nw = 1651 141014.0034.ec.fits: ap = 94, w1 = 3925.305, w2 = 3842.568, dw = -0.05014, nw = 1651 141014.0034.ec.fits: ap = 95, w1 = 3898.61, w2 = 3816.437, dw = -0.0498, nw = 1651 141014.0034.ec.fits: ap = 96, w1 = 3872.277, w2 = 3790.659, dw = -0.04947, nw = 1651 141014.0034.ec.fits: ap = 97, w1 = 3846.298, w2 = 3765.228, dw = -0.04913, nw = 1651 141014.0034.ec.fits: ap = 98, w1 = 3820.664, w2 = 3740.135, dw = -0.04881, nw = 1651 141014.0034.ec.fits: ap = 99, w1 = 3795.371, w2 = 3715.375, dw = -0.04848, nw = 1651 141014.0034.ec.fits: ap = 100, w1 = 3770.41, w2 = 3690.941, dw = -0.04816, nw = 1651 141014.0034.ec.fits: ap = 101, w1 = 3745.776, w2 = 3666.826, dw = -0.04785, nw = 1651 141014.0034.ec.fits: ap = 102, w1 = 3721.462, w2 = 3643.025, dw = -0.04754, nw = 1651 141014.0034.ec.fits: ap = 103, w1 = 3697.462, w2 = 3619.53, dw = -0.04723, nw = 1651 141014.0034.ec.fits: ap = 104, w1 = 3673.769, w2 = 3596.337, dw = -0.04693, nw = 1651 141014.0034.ec.fits: ap = 105, w1 = 3650.379, w2 = 3573.439, dw = -0.04663, nw = 1651 141014.0034.ec.fits: ap = 106, w1 = 3627.284, w2 = 3550.831, dw = -0.04634, nw = 1651 141014.0034.ec.fits: ap = 107, w1 = 3604.48, w2 = 3528.508, dw = -0.04604, nw = 1651 141014.0034.ec.fits: ap = 108, w1 = 3581.962, w2 = 3506.463, dw = -0.04576, nw = 1651 141014.0034.ec.fits: ap = 109, w1 = 3559.723, w2 = 3484.693, dw = -0.04547, nw = 1651 141014.0034.ec.fits: ap = 110, w1 = 3537.759, w2 = 3463.191, dw = -0.04519, nw = 1651 141014.0034.ec.fits: ap = 111, w1 = 3516.065, w2 = 3441.953, dw = -0.04492, nw = 1651 141014.0034.ec.fits: ap = 112, w1 = 3494.635, w2 = 3420.974, dw = -0.04464, nw = 1651 141014.0034.ec.fits: ap = 113, w1 = 3473.465, w2 = 3400.249, dw = -0.04437, nw = 1651 141014.0034.ec.fits: ap = 114, w1 = 3452.551, w2 = 3379.774, dw = -0.04411, nw = 1651 141014.0034.ec.fits: ap = 115, w1 = 3431.886, w2 = 3359.544, dw = -0.04384, nw = 1651 141014.0035.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.17791718' 141014.0035.ec.fits: REFSPEC2 = 'EchelleThAr.0036.ec 0.82208282' 141014.0035.ec.fits: ap = 1, w1 = 10811.56, w2 = 10583.38, dw = -0.13829, nw = 1651 141014.0035.ec.fits: ap = 2, w1 = 10611.36, w2 = 10387.41, dw = -0.13573, nw = 1651 141014.0035.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.56, dw = -0.13326, nw = 1651 141014.0035.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.46, dw = -0.13087, nw = 1651 141014.0035.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.748, dw = -0.12858, nw = 1651 141014.0035.ec.fits: ap = 6, w1 = 9879.585, w2 = 9671.094, dw = -0.12636, nw = 1651 141014.0035.ec.fits: ap = 7, w1 = 9712.146, w2 = 9507.191, dw = -0.12421, nw = 1651 141014.0035.ec.fits: ap = 8, w1 = 9550.288, w2 = 9348.752, dw = -0.12214, nw = 1651 141014.0035.ec.fits: ap = 9, w1 = 9393.738, w2 = 9195.507, dw = -0.12014, nw = 1651 141014.0035.ec.fits: ap = 10, w1 = 9242.237, w2 = 9047.206, dw = -0.1182, nw = 1651 141014.0035.ec.fits: ap = 11, w1 = 9095.546, w2 = 8903.613, dw = -0.11632, nw = 1651 141014.0035.ec.fits: ap = 12, w1 = 8953.439, w2 = 8764.507, dw = -0.1145, nw = 1651 141014.0035.ec.fits: ap = 13, w1 = 8815.705, w2 = 8629.681, dw = -0.11274, nw = 1651 141014.0035.ec.fits: ap = 14, w1 = 8682.145, w2 = 8498.941, dw = -0.11103, nw = 1651 141014.0035.ec.fits: ap = 15, w1 = 8552.571, w2 = 8372.103, dw = -0.10937, nw = 1651 141014.0035.ec.fits: ap = 16, w1 = 8426.809, w2 = 8248.996, dw = -0.10777, nw = 1651 141014.0035.ec.fits: ap = 17, w1 = 8304.692, w2 = 8129.458, dw = -0.1062, nw = 1651 141014.0035.ec.fits: ap = 18, w1 = 8186.064, w2 = 8013.335, dw = -0.10468, nw = 1651 141014.0035.ec.fits: ap = 19, w1 = 8070.778, w2 = 7900.482, dw = -0.10321, nw = 1651 141014.0035.ec.fits: ap = 20, w1 = 7958.694, w2 = 7790.765, dw = -0.10178, nw = 1651 141014.0035.ec.fits: ap = 21, w1 = 7849.681, w2 = 7684.054, dw = -0.10038, nw = 1651 141014.0035.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.227, dw = -0.09902, nw = 1651 141014.0035.ec.fits: ap = 23, w1 = 7640.376, w2 = 7479.168, dw = -0.0977, nw = 1651 141014.0035.ec.fits: ap = 24, w1 = 7539.855, w2 = 7380.769, dw = -0.09642, nw = 1651 141014.0035.ec.fits: ap = 25, w1 = 7441.944, w2 = 7284.926, dw = -0.09516, nw = 1651 141014.0035.ec.fits: ap = 26, w1 = 7346.544, w2 = 7191.54, dw = -0.09394, nw = 1651 141014.0035.ec.fits: ap = 27, w1 = 7253.56, w2 = 7100.519, dw = -0.09275, nw = 1651 141014.0035.ec.fits: ap = 28, w1 = 7162.9, w2 = 7011.773, dw = -0.09159, nw = 1651 141014.0035.ec.fits: ap = 29, w1 = 7074.478, w2 = 6925.219, dw = -0.09046, nw = 1651 141014.0035.ec.fits: ap = 30, w1 = 6988.214, w2 = 6840.776, dw = -0.08936, nw = 1651 141014.0035.ec.fits: ap = 31, w1 = 6904.028, w2 = 6758.367, dw = -0.08828, nw = 1651 141014.0035.ec.fits: ap = 32, w1 = 6821.846, w2 = 6677.921, dw = -0.08723, nw = 1651 141014.0035.ec.fits: ap = 33, w1 = 6741.598, w2 = 6599.368, dw = -0.0862, nw = 1651 141014.0035.ec.fits: ap = 34, w1 = 6663.217, w2 = 6522.641, dw = -0.0852, nw = 1651 141014.0035.ec.fits: ap = 35, w1 = 6586.637, w2 = 6447.679, dw = -0.08422, nw = 1651 141014.0035.ec.fits: ap = 36, w1 = 6511.798, w2 = 6374.42, dw = -0.08326, nw = 1651 141014.0035.ec.fits: ap = 37, w1 = 6438.64, w2 = 6302.808, dw = -0.08232, nw = 1651 141014.0035.ec.fits: ap = 38, w1 = 6367.109, w2 = 6232.787, dw = -0.08141, nw = 1651 141014.0035.ec.fits: ap = 39, w1 = 6297.149, w2 = 6164.305, dw = -0.08051, nw = 1651 141014.0035.ec.fits: ap = 40, w1 = 6228.711, w2 = 6097.311, dw = -0.07964, nw = 1651 141014.0035.ec.fits: ap = 41, w1 = 6161.744, w2 = 6031.759, dw = -0.07878, nw = 1651 141014.0035.ec.fits: ap = 42, w1 = 6096.202, w2 = 5967.602, dw = -0.07794, nw = 1651 141014.0035.ec.fits: ap = 43, w1 = 6032.04, w2 = 5904.795, dw = -0.07712, nw = 1651 141014.0035.ec.fits: ap = 44, w1 = 5969.215, w2 = 5843.296, dw = -0.07631, nw = 1651 141014.0035.ec.fits: ap = 45, w1 = 5907.685, w2 = 5783.066, dw = -0.07553, nw = 1651 141014.0035.ec.fits: ap = 46, w1 = 5847.411, w2 = 5724.065, dw = -0.07475, nw = 1651 141014.0035.ec.fits: ap = 47, w1 = 5788.355, w2 = 5666.257, dw = -0.074, nw = 1651 141014.0035.ec.fits: ap = 48, w1 = 5730.479, w2 = 5609.604, dw = -0.07326, nw = 1651 141014.0035.ec.fits: ap = 49, w1 = 5673.75, w2 = 5554.073, dw = -0.07253, nw = 1651 141014.0035.ec.fits: ap = 50, w1 = 5618.133, w2 = 5499.631, dw = -0.07182, nw = 1651 141014.0035.ec.fits: ap = 51, w1 = 5563.597, w2 = 5446.247, dw = -0.07112, nw = 1651 141014.0035.ec.fits: ap = 52, w1 = 5510.109, w2 = 5393.889, dw = -0.07044, nw = 1651 141014.0035.ec.fits: ap = 53, w1 = 5457.64, w2 = 5342.528, dw = -0.06976, nw = 1651 141014.0035.ec.fits: ap = 54, w1 = 5406.161, w2 = 5292.137, dw = -0.06911, nw = 1651 141014.0035.ec.fits: ap = 55, w1 = 5355.644, w2 = 5242.688, dw = -0.06846, nw = 1651 141014.0035.ec.fits: ap = 56, w1 = 5306.063, w2 = 5194.154, dw = -0.06782, nw = 1651 141014.0035.ec.fits: ap = 57, w1 = 5257.391, w2 = 5146.511, dw = -0.0672, nw = 1651 141014.0035.ec.fits: ap = 58, w1 = 5209.605, w2 = 5099.735, dw = -0.06659, nw = 1651 141014.0035.ec.fits: ap = 59, w1 = 5162.68, w2 = 5053.801, dw = -0.06599, nw = 1651 141014.0035.ec.fits: ap = 60, w1 = 5116.592, w2 = 5008.687, dw = -0.0654, nw = 1651 141014.0035.ec.fits: ap = 61, w1 = 5071.321, w2 = 4964.373, dw = -0.06482, nw = 1651 141014.0035.ec.fits: ap = 62, w1 = 5026.844, w2 = 4920.835, dw = -0.06425, nw = 1651 141014.0035.ec.fits: ap = 63, w1 = 4983.14, w2 = 4878.055, dw = -0.06369, nw = 1651 141014.0035.ec.fits: ap = 64, w1 = 4940.19, w2 = 4836.013, dw = -0.06314, nw = 1651 141014.0035.ec.fits: ap = 65, w1 = 4897.974, w2 = 4794.689, dw = -0.0626, nw = 1651 141014.0035.ec.fits: ap = 66, w1 = 4856.474, w2 = 4754.066, dw = -0.06207, nw = 1651 141014.0035.ec.fits: ap = 67, w1 = 4815.671, w2 = 4714.125, dw = -0.06154, nw = 1651 141014.0035.ec.fits: ap = 68, w1 = 4775.549, w2 = 4674.851, dw = -0.06103, nw = 1651 141014.0035.ec.fits: ap = 69, w1 = 4736.09, w2 = 4636.225, dw = -0.06052, nw = 1651 141014.0035.ec.fits: ap = 70, w1 = 4697.277, w2 = 4598.233, dw = -0.06003, nw = 1651 141014.0035.ec.fits: ap = 71, w1 = 4659.096, w2 = 4560.859, dw = -0.05954, nw = 1651 141014.0035.ec.fits: ap = 72, w1 = 4621.531, w2 = 4524.088, dw = -0.05906, nw = 1651 141014.0035.ec.fits: ap = 73, w1 = 4584.567, w2 = 4487.905, dw = -0.05858, nw = 1651 141014.0035.ec.fits: ap = 74, w1 = 4548.19, w2 = 4452.296, dw = -0.05812, nw = 1651 141014.0035.ec.fits: ap = 75, w1 = 4512.385, w2 = 4417.248, dw = -0.05766, nw = 1651 141014.0035.ec.fits: ap = 76, w1 = 4477.141, w2 = 4382.748, dw = -0.05721, nw = 1651 141014.0035.ec.fits: ap = 77, w1 = 4442.442, w2 = 4348.783, dw = -0.05676, nw = 1651 141014.0035.ec.fits: ap = 78, w1 = 4408.278, w2 = 4315.341, dw = -0.05633, nw = 1651 141014.0035.ec.fits: ap = 79, w1 = 4374.636, w2 = 4282.409, dw = -0.0559, nw = 1651 141014.0035.ec.fits: ap = 80, w1 = 4341.503, w2 = 4249.976, dw = -0.05547, nw = 1651 141014.0035.ec.fits: ap = 81, w1 = 4308.869, w2 = 4218.031, dw = -0.05505, nw = 1651 141014.0035.ec.fits: ap = 82, w1 = 4276.721, w2 = 4186.563, dw = -0.05464, nw = 1651 141014.0035.ec.fits: ap = 83, w1 = 4245.051, w2 = 4155.561, dw = -0.05424, nw = 1651 141014.0035.ec.fits: ap = 84, w1 = 4213.846, w2 = 4125.015, dw = -0.05384, nw = 1651 141014.0035.ec.fits: ap = 85, w1 = 4183.096, w2 = 4094.915, dw = -0.05344, nw = 1651 141014.0035.ec.fits: ap = 86, w1 = 4152.793, w2 = 4065.251, dw = -0.05306, nw = 1651 141014.0035.ec.fits: ap = 87, w1 = 4122.925, w2 = 4036.014, dw = -0.05267, nw = 1651 141014.0035.ec.fits: ap = 88, w1 = 4093.485, w2 = 4007.195, dw = -0.0523, nw = 1651 141014.0035.ec.fits: ap = 89, w1 = 4064.462, w2 = 3978.785, dw = -0.05193, nw = 1651 141014.0035.ec.fits: ap = 90, w1 = 4035.848, w2 = 3950.775, dw = -0.05156, nw = 1651 141014.0035.ec.fits: ap = 91, w1 = 4007.634, w2 = 3923.156, dw = -0.0512, nw = 1651 141014.0035.ec.fits: ap = 92, w1 = 3979.813, w2 = 3895.922, dw = -0.05084, nw = 1651 141014.0035.ec.fits: ap = 93, w1 = 3952.375, w2 = 3869.062, dw = -0.05049, nw = 1651 141014.0035.ec.fits: ap = 94, w1 = 3925.313, w2 = 3842.571, dw = -0.05015, nw = 1651 141014.0035.ec.fits: ap = 95, w1 = 3898.62, w2 = 3816.441, dw = -0.04981, nw = 1651 141014.0035.ec.fits: ap = 96, w1 = 3872.287, w2 = 3790.663, dw = -0.04947, nw = 1651 141014.0035.ec.fits: ap = 97, w1 = 3846.308, w2 = 3765.232, dw = -0.04914, nw = 1651 141014.0035.ec.fits: ap = 98, w1 = 3820.676, w2 = 3740.14, dw = -0.04881, nw = 1651 141014.0035.ec.fits: ap = 99, w1 = 3795.383, w2 = 3715.38, dw = -0.04849, nw = 1651 141014.0035.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.946, dw = -0.04817, nw = 1651 141014.0035.ec.fits: ap = 101, w1 = 3745.79, w2 = 3666.831, dw = -0.04785, nw = 1651 141014.0035.ec.fits: ap = 102, w1 = 3721.477, w2 = 3643.03, dw = -0.04754, nw = 1651 141014.0035.ec.fits: ap = 103, w1 = 3697.478, w2 = 3619.535, dw = -0.04724, nw = 1651 141014.0035.ec.fits: ap = 104, w1 = 3673.786, w2 = 3596.342, dw = -0.04694, nw = 1651 141014.0035.ec.fits: ap = 105, w1 = 3650.397, w2 = 3573.445, dw = -0.04664, nw = 1651 141014.0035.ec.fits: ap = 106, w1 = 3627.304, w2 = 3550.837, dw = -0.04634, nw = 1651 141014.0035.ec.fits: ap = 107, w1 = 3604.501, w2 = 3528.514, dw = -0.04605, nw = 1651 141014.0035.ec.fits: ap = 108, w1 = 3581.984, w2 = 3506.469, dw = -0.04577, nw = 1651 141014.0035.ec.fits: ap = 109, w1 = 3559.746, w2 = 3484.699, dw = -0.04548, nw = 1651 141014.0035.ec.fits: ap = 110, w1 = 3537.783, w2 = 3463.197, dw = -0.0452, nw = 1651 141014.0035.ec.fits: ap = 111, w1 = 3516.09, w2 = 3441.959, dw = -0.04493, nw = 1651 141014.0035.ec.fits: ap = 112, w1 = 3494.662, w2 = 3420.981, dw = -0.04466, nw = 1651 141014.0035.ec.fits: ap = 113, w1 = 3473.494, w2 = 3400.256, dw = -0.04439, nw = 1651 141014.0035.ec.fits: ap = 114, w1 = 3452.581, w2 = 3379.781, dw = -0.04412, nw = 1651 141014.0035.ec.fits: ap = 115, w1 = 3431.918, w2 = 3359.552, dw = -0.04386, nw = 1651 141014.0037.ec.fits: REFSPEC1 = 'EchelleThAr.0036.ec 0.76699287' 141014.0037.ec.fits: REFSPEC2 = 'EchelleThAr.0039.ec 0.23300716' 141014.0037.ec.fits: ap = 1, w1 = 10811.56, w2 = 10583.38, dw = -0.13829, nw = 1651 141014.0037.ec.fits: ap = 2, w1 = 10611.35, w2 = 10387.4, dw = -0.13573, nw = 1651 141014.0037.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.56, dw = -0.13326, nw = 1651 141014.0037.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.46, dw = -0.13088, nw = 1651 141014.0037.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.744, dw = -0.12858, nw = 1651 141014.0037.ec.fits: ap = 6, w1 = 9879.585, w2 = 9671.09, dw = -0.12636, nw = 1651 141014.0037.ec.fits: ap = 7, w1 = 9712.146, w2 = 9507.188, dw = -0.12422, nw = 1651 141014.0037.ec.fits: ap = 8, w1 = 9550.289, w2 = 9348.749, dw = -0.12215, nw = 1651 141014.0037.ec.fits: ap = 9, w1 = 9393.738, w2 = 9195.505, dw = -0.12014, nw = 1651 141014.0037.ec.fits: ap = 10, w1 = 9242.238, w2 = 9047.204, dw = -0.1182, nw = 1651 141014.0037.ec.fits: ap = 11, w1 = 9095.546, w2 = 8903.61, dw = -0.11633, nw = 1651 141014.0037.ec.fits: ap = 12, w1 = 8953.439, w2 = 8764.504, dw = -0.11451, nw = 1651 141014.0037.ec.fits: ap = 13, w1 = 8815.705, w2 = 8629.678, dw = -0.11274, nw = 1651 141014.0037.ec.fits: ap = 14, w1 = 8682.144, w2 = 8498.938, dw = -0.11103, nw = 1651 141014.0037.ec.fits: ap = 15, w1 = 8552.571, w2 = 8372.101, dw = -0.10938, nw = 1651 141014.0037.ec.fits: ap = 16, w1 = 8426.808, w2 = 8248.994, dw = -0.10777, nw = 1651 141014.0037.ec.fits: ap = 17, w1 = 8304.691, w2 = 8129.455, dw = -0.1062, nw = 1651 141014.0037.ec.fits: ap = 18, w1 = 8186.064, w2 = 8013.333, dw = -0.10469, nw = 1651 141014.0037.ec.fits: ap = 19, w1 = 8070.777, w2 = 7900.48, dw = -0.10321, nw = 1651 141014.0037.ec.fits: ap = 20, w1 = 7958.693, w2 = 7790.763, dw = -0.10178, nw = 1651 141014.0037.ec.fits: ap = 21, w1 = 7849.68, w2 = 7684.052, dw = -0.10038, nw = 1651 141014.0037.ec.fits: ap = 22, w1 = 7743.613, w2 = 7580.225, dw = -0.09902, nw = 1651 141014.0037.ec.fits: ap = 23, w1 = 7640.375, w2 = 7479.166, dw = -0.0977, nw = 1651 141014.0037.ec.fits: ap = 24, w1 = 7539.853, w2 = 7380.767, dw = -0.09642, nw = 1651 141014.0037.ec.fits: ap = 25, w1 = 7441.943, w2 = 7284.924, dw = -0.09516, nw = 1651 141014.0037.ec.fits: ap = 26, w1 = 7346.543, w2 = 7191.539, dw = -0.09394, nw = 1651 141014.0037.ec.fits: ap = 27, w1 = 7253.558, w2 = 7100.517, dw = -0.09275, nw = 1651 141014.0037.ec.fits: ap = 28, w1 = 7162.898, w2 = 7011.772, dw = -0.09159, nw = 1651 141014.0037.ec.fits: ap = 29, w1 = 7074.477, w2 = 6925.217, dw = -0.09046, nw = 1651 141014.0037.ec.fits: ap = 30, w1 = 6988.212, w2 = 6840.774, dw = -0.08936, nw = 1651 141014.0037.ec.fits: ap = 31, w1 = 6904.026, w2 = 6758.365, dw = -0.08828, nw = 1651 141014.0037.ec.fits: ap = 32, w1 = 6821.844, w2 = 6677.919, dw = -0.08723, nw = 1651 141014.0037.ec.fits: ap = 33, w1 = 6741.596, w2 = 6599.366, dw = -0.0862, nw = 1651 141014.0037.ec.fits: ap = 34, w1 = 6663.214, w2 = 6522.639, dw = -0.0852, nw = 1651 141014.0037.ec.fits: ap = 35, w1 = 6586.635, w2 = 6447.677, dw = -0.08422, nw = 1651 141014.0037.ec.fits: ap = 36, w1 = 6511.795, w2 = 6374.418, dw = -0.08326, nw = 1651 141014.0037.ec.fits: ap = 37, w1 = 6438.638, w2 = 6302.806, dw = -0.08232, nw = 1651 141014.0037.ec.fits: ap = 38, w1 = 6367.106, w2 = 6232.785, dw = -0.08141, nw = 1651 141014.0037.ec.fits: ap = 39, w1 = 6297.147, w2 = 6164.303, dw = -0.08051, nw = 1651 141014.0037.ec.fits: ap = 40, w1 = 6228.708, w2 = 6097.31, dw = -0.07964, nw = 1651 141014.0037.ec.fits: ap = 41, w1 = 6161.741, w2 = 6031.757, dw = -0.07878, nw = 1651 141014.0037.ec.fits: ap = 42, w1 = 6096.2, w2 = 5967.6, dw = -0.07794, nw = 1651 141014.0037.ec.fits: ap = 43, w1 = 6032.038, w2 = 5904.793, dw = -0.07712, nw = 1651 141014.0037.ec.fits: ap = 44, w1 = 5969.212, w2 = 5843.295, dw = -0.07631, nw = 1651 141014.0037.ec.fits: ap = 45, w1 = 5907.683, w2 = 5783.064, dw = -0.07553, nw = 1651 141014.0037.ec.fits: ap = 46, w1 = 5847.408, w2 = 5724.064, dw = -0.07475, nw = 1651 141014.0037.ec.fits: ap = 47, w1 = 5788.352, w2 = 5666.255, dw = -0.074, nw = 1651 141014.0037.ec.fits: ap = 48, w1 = 5730.477, w2 = 5609.602, dw = -0.07326, nw = 1651 141014.0037.ec.fits: ap = 49, w1 = 5673.748, w2 = 5554.071, dw = -0.07253, nw = 1651 141014.0037.ec.fits: ap = 50, w1 = 5618.131, w2 = 5499.63, dw = -0.07182, nw = 1651 141014.0037.ec.fits: ap = 51, w1 = 5563.594, w2 = 5446.245, dw = -0.07112, nw = 1651 141014.0037.ec.fits: ap = 52, w1 = 5510.107, w2 = 5393.887, dw = -0.07044, nw = 1651 141014.0037.ec.fits: ap = 53, w1 = 5457.638, w2 = 5342.527, dw = -0.06976, nw = 1651 141014.0037.ec.fits: ap = 54, w1 = 5406.159, w2 = 5292.135, dw = -0.0691, nw = 1651 141014.0037.ec.fits: ap = 55, w1 = 5355.642, w2 = 5242.686, dw = -0.06846, nw = 1651 141014.0037.ec.fits: ap = 56, w1 = 5306.061, w2 = 5194.153, dw = -0.06782, nw = 1651 141014.0037.ec.fits: ap = 57, w1 = 5257.389, w2 = 5146.51, dw = -0.0672, nw = 1651 141014.0037.ec.fits: ap = 58, w1 = 5209.603, w2 = 5099.733, dw = -0.06659, nw = 1651 141014.0037.ec.fits: ap = 59, w1 = 5162.678, w2 = 5053.799, dw = -0.06599, nw = 1651 141014.0037.ec.fits: ap = 60, w1 = 5116.591, w2 = 5008.686, dw = -0.0654, nw = 1651 141014.0037.ec.fits: ap = 61, w1 = 5071.319, w2 = 4964.371, dw = -0.06482, nw = 1651 141014.0037.ec.fits: ap = 62, w1 = 5026.842, w2 = 4920.834, dw = -0.06425, nw = 1651 141014.0037.ec.fits: ap = 63, w1 = 4983.138, w2 = 4878.054, dw = -0.06369, nw = 1651 141014.0037.ec.fits: ap = 64, w1 = 4940.188, w2 = 4836.011, dw = -0.06314, nw = 1651 141014.0037.ec.fits: ap = 65, w1 = 4897.973, w2 = 4794.688, dw = -0.0626, nw = 1651 141014.0037.ec.fits: ap = 66, w1 = 4856.472, w2 = 4754.065, dw = -0.06207, nw = 1651 141014.0037.ec.fits: ap = 67, w1 = 4815.67, w2 = 4714.124, dw = -0.06154, nw = 1651 141014.0037.ec.fits: ap = 68, w1 = 4775.547, w2 = 4674.85, dw = -0.06103, nw = 1651 141014.0037.ec.fits: ap = 69, w1 = 4736.088, w2 = 4636.224, dw = -0.06052, nw = 1651 141014.0037.ec.fits: ap = 70, w1 = 4697.276, w2 = 4598.232, dw = -0.06003, nw = 1651 141014.0037.ec.fits: ap = 71, w1 = 4659.094, w2 = 4560.858, dw = -0.05954, nw = 1651 141014.0037.ec.fits: ap = 72, w1 = 4621.529, w2 = 4524.087, dw = -0.05906, nw = 1651 141014.0037.ec.fits: ap = 73, w1 = 4584.565, w2 = 4487.904, dw = -0.05858, nw = 1651 141014.0037.ec.fits: ap = 74, w1 = 4548.188, w2 = 4452.295, dw = -0.05812, nw = 1651 141014.0037.ec.fits: ap = 75, w1 = 4512.383, w2 = 4417.247, dw = -0.05766, nw = 1651 141014.0037.ec.fits: ap = 76, w1 = 4477.138, w2 = 4382.747, dw = -0.05721, nw = 1651 141014.0037.ec.fits: ap = 77, w1 = 4442.44, w2 = 4348.782, dw = -0.05676, nw = 1651 141014.0037.ec.fits: ap = 78, w1 = 4408.276, w2 = 4315.34, dw = -0.05632, nw = 1651 141014.0037.ec.fits: ap = 79, w1 = 4374.633, w2 = 4282.408, dw = -0.05589, nw = 1651 141014.0037.ec.fits: ap = 80, w1 = 4341.5, w2 = 4249.975, dw = -0.05547, nw = 1651 141014.0037.ec.fits: ap = 81, w1 = 4308.865, w2 = 4218.03, dw = -0.05505, nw = 1651 141014.0037.ec.fits: ap = 82, w1 = 4276.718, w2 = 4186.561, dw = -0.05464, nw = 1651 141014.0037.ec.fits: ap = 83, w1 = 4245.047, w2 = 4155.559, dw = -0.05423, nw = 1651 141014.0037.ec.fits: ap = 84, w1 = 4213.842, w2 = 4125.013, dw = -0.05384, nw = 1651 141014.0037.ec.fits: ap = 85, w1 = 4183.092, w2 = 4094.913, dw = -0.05344, nw = 1651 141014.0037.ec.fits: ap = 86, w1 = 4152.788, w2 = 4065.249, dw = -0.05305, nw = 1651 141014.0037.ec.fits: ap = 87, w1 = 4122.92, w2 = 4036.012, dw = -0.05267, nw = 1651 141014.0037.ec.fits: ap = 88, w1 = 4093.479, w2 = 4007.193, dw = -0.05229, nw = 1651 141014.0037.ec.fits: ap = 89, w1 = 4064.456, w2 = 3978.783, dw = -0.05192, nw = 1651 141014.0037.ec.fits: ap = 90, w1 = 4035.841, w2 = 3950.772, dw = -0.05156, nw = 1651 141014.0037.ec.fits: ap = 91, w1 = 4007.627, w2 = 3923.154, dw = -0.0512, nw = 1651 141014.0037.ec.fits: ap = 92, w1 = 3979.805, w2 = 3895.919, dw = -0.05084, nw = 1651 141014.0037.ec.fits: ap = 93, w1 = 3952.367, w2 = 3869.06, dw = -0.05049, nw = 1651 141014.0037.ec.fits: ap = 94, w1 = 3925.304, w2 = 3842.569, dw = -0.05014, nw = 1651 141014.0037.ec.fits: ap = 95, w1 = 3898.61, w2 = 3816.438, dw = -0.0498, nw = 1651 141014.0037.ec.fits: ap = 96, w1 = 3872.277, w2 = 3790.66, dw = -0.04946, nw = 1651 141014.0037.ec.fits: ap = 97, w1 = 3846.298, w2 = 3765.228, dw = -0.04913, nw = 1651 141014.0037.ec.fits: ap = 98, w1 = 3820.664, w2 = 3740.136, dw = -0.04881, nw = 1651 141014.0037.ec.fits: ap = 99, w1 = 3795.371, w2 = 3715.376, dw = -0.04848, nw = 1651 141014.0037.ec.fits: ap = 100, w1 = 3770.41, w2 = 3690.941, dw = -0.04816, nw = 1651 141014.0037.ec.fits: ap = 101, w1 = 3745.776, w2 = 3666.826, dw = -0.04785, nw = 1651 141014.0037.ec.fits: ap = 102, w1 = 3721.462, w2 = 3643.025, dw = -0.04754, nw = 1651 141014.0037.ec.fits: ap = 103, w1 = 3697.461, w2 = 3619.53, dw = -0.04723, nw = 1651 141014.0037.ec.fits: ap = 104, w1 = 3673.769, w2 = 3596.336, dw = -0.04693, nw = 1651 141014.0037.ec.fits: ap = 105, w1 = 3650.378, w2 = 3573.438, dw = -0.04663, nw = 1651 141014.0037.ec.fits: ap = 106, w1 = 3627.284, w2 = 3550.83, dw = -0.04634, nw = 1651 141014.0037.ec.fits: ap = 107, w1 = 3604.48, w2 = 3528.506, dw = -0.04604, nw = 1651 141014.0037.ec.fits: ap = 108, w1 = 3581.961, w2 = 3506.462, dw = -0.04576, nw = 1651 141014.0037.ec.fits: ap = 109, w1 = 3559.723, w2 = 3484.691, dw = -0.04547, nw = 1651 141014.0037.ec.fits: ap = 110, w1 = 3537.759, w2 = 3463.189, dw = -0.04519, nw = 1651 141014.0037.ec.fits: ap = 111, w1 = 3516.064, w2 = 3441.95, dw = -0.04492, nw = 1651 141014.0037.ec.fits: ap = 112, w1 = 3494.634, w2 = 3420.971, dw = -0.04464, nw = 1651 141014.0037.ec.fits: ap = 113, w1 = 3473.464, w2 = 3400.246, dw = -0.04437, nw = 1651 141014.0037.ec.fits: ap = 114, w1 = 3452.55, w2 = 3379.77, dw = -0.04411, nw = 1651 141014.0037.ec.fits: ap = 115, w1 = 3431.885, w2 = 3359.54, dw = -0.04385, nw = 1651 141014.0038.ec.fits: REFSPEC1 = 'EchelleThAr.0036.ec 0.18552367' 141014.0038.ec.fits: REFSPEC2 = 'EchelleThAr.0039.ec 0.81447631' 141014.0038.ec.fits: ap = 1, w1 = 10811.55, w2 = 10583.35, dw = -0.1383, nw = 1651 141014.0038.ec.fits: ap = 2, w1 = 10611.35, w2 = 10387.38, dw = -0.13574, nw = 1651 141014.0038.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.54, dw = -0.13327, nw = 1651 141014.0038.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.44, dw = -0.13089, nw = 1651 141014.0038.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.729, dw = -0.12859, nw = 1651 141014.0038.ec.fits: ap = 6, w1 = 9879.585, w2 = 9671.077, dw = -0.12637, nw = 1651 141014.0038.ec.fits: ap = 7, w1 = 9712.147, w2 = 9507.176, dw = -0.12422, nw = 1651 141014.0038.ec.fits: ap = 8, w1 = 9550.289, w2 = 9348.738, dw = -0.12215, nw = 1651 141014.0038.ec.fits: ap = 9, w1 = 9393.739, w2 = 9195.494, dw = -0.12015, nw = 1651 141014.0038.ec.fits: ap = 10, w1 = 9242.239, w2 = 9047.194, dw = -0.11821, nw = 1651 141014.0038.ec.fits: ap = 11, w1 = 9095.548, w2 = 8903.602, dw = -0.11633, nw = 1651 141014.0038.ec.fits: ap = 12, w1 = 8953.441, w2 = 8764.497, dw = -0.11451, nw = 1651 141014.0038.ec.fits: ap = 13, w1 = 8815.706, w2 = 8629.672, dw = -0.11275, nw = 1651 141014.0038.ec.fits: ap = 14, w1 = 8682.146, w2 = 8498.932, dw = -0.11104, nw = 1651 141014.0038.ec.fits: ap = 15, w1 = 8552.572, w2 = 8372.095, dw = -0.10938, nw = 1651 141014.0038.ec.fits: ap = 16, w1 = 8426.809, w2 = 8248.989, dw = -0.10777, nw = 1651 141014.0038.ec.fits: ap = 17, w1 = 8304.691, w2 = 8129.451, dw = -0.10621, nw = 1651 141014.0038.ec.fits: ap = 18, w1 = 8186.063, w2 = 8013.328, dw = -0.10469, nw = 1651 141014.0038.ec.fits: ap = 19, w1 = 8070.776, w2 = 7900.476, dw = -0.10321, nw = 1651 141014.0038.ec.fits: ap = 20, w1 = 7958.692, w2 = 7790.759, dw = -0.10178, nw = 1651 141014.0038.ec.fits: ap = 21, w1 = 7849.678, w2 = 7684.048, dw = -0.10038, nw = 1651 141014.0038.ec.fits: ap = 22, w1 = 7743.611, w2 = 7580.221, dw = -0.09902, nw = 1651 141014.0038.ec.fits: ap = 23, w1 = 7640.372, w2 = 7479.163, dw = -0.0977, nw = 1651 141014.0038.ec.fits: ap = 24, w1 = 7539.85, w2 = 7380.764, dw = -0.09642, nw = 1651 141014.0038.ec.fits: ap = 25, w1 = 7441.939, w2 = 7284.921, dw = -0.09516, nw = 1651 141014.0038.ec.fits: ap = 26, w1 = 7346.539, w2 = 7191.535, dw = -0.09394, nw = 1651 141014.0038.ec.fits: ap = 27, w1 = 7253.553, w2 = 7100.514, dw = -0.09275, nw = 1651 141014.0038.ec.fits: ap = 28, w1 = 7162.893, w2 = 7011.768, dw = -0.09159, nw = 1651 141014.0038.ec.fits: ap = 29, w1 = 7074.471, w2 = 6925.214, dw = -0.09046, nw = 1651 141014.0038.ec.fits: ap = 30, w1 = 6988.206, w2 = 6840.771, dw = -0.08935, nw = 1651 141014.0038.ec.fits: ap = 31, w1 = 6904.019, w2 = 6758.362, dw = -0.08828, nw = 1651 141014.0038.ec.fits: ap = 32, w1 = 6821.837, w2 = 6677.916, dw = -0.08723, nw = 1651 141014.0038.ec.fits: ap = 33, w1 = 6741.589, w2 = 6599.362, dw = -0.0862, nw = 1651 141014.0038.ec.fits: ap = 34, w1 = 6663.207, w2 = 6522.636, dw = -0.08519, nw = 1651 141014.0038.ec.fits: ap = 35, w1 = 6586.627, w2 = 6447.673, dw = -0.08421, nw = 1651 141014.0038.ec.fits: ap = 36, w1 = 6511.788, w2 = 6374.415, dw = -0.08326, nw = 1651 141014.0038.ec.fits: ap = 37, w1 = 6438.63, w2 = 6302.802, dw = -0.08232, nw = 1651 141014.0038.ec.fits: ap = 38, w1 = 6367.099, w2 = 6232.781, dw = -0.0814, nw = 1651 141014.0038.ec.fits: ap = 39, w1 = 6297.139, w2 = 6164.299, dw = -0.08051, nw = 1651 141014.0038.ec.fits: ap = 40, w1 = 6228.7, w2 = 6097.306, dw = -0.07963, nw = 1651 141014.0038.ec.fits: ap = 41, w1 = 6161.733, w2 = 6031.753, dw = -0.07878, nw = 1651 141014.0038.ec.fits: ap = 42, w1 = 6096.192, w2 = 5967.596, dw = -0.07794, nw = 1651 141014.0038.ec.fits: ap = 43, w1 = 6032.03, w2 = 5904.789, dw = -0.07712, nw = 1651 141014.0038.ec.fits: ap = 44, w1 = 5969.204, w2 = 5843.291, dw = -0.07631, nw = 1651 141014.0038.ec.fits: ap = 45, w1 = 5907.675, w2 = 5783.061, dw = -0.07552, nw = 1651 141014.0038.ec.fits: ap = 46, w1 = 5847.401, w2 = 5724.06, dw = -0.07475, nw = 1651 141014.0038.ec.fits: ap = 47, w1 = 5788.344, w2 = 5666.251, dw = -0.074, nw = 1651 141014.0038.ec.fits: ap = 48, w1 = 5730.469, w2 = 5609.598, dw = -0.07326, nw = 1651 141014.0038.ec.fits: ap = 49, w1 = 5673.74, w2 = 5554.067, dw = -0.07253, nw = 1651 141014.0038.ec.fits: ap = 50, w1 = 5618.124, w2 = 5499.626, dw = -0.07182, nw = 1651 141014.0038.ec.fits: ap = 51, w1 = 5563.587, w2 = 5446.241, dw = -0.07112, nw = 1651 141014.0038.ec.fits: ap = 52, w1 = 5510.099, w2 = 5393.883, dw = -0.07043, nw = 1651 141014.0038.ec.fits: ap = 53, w1 = 5457.631, w2 = 5342.523, dw = -0.06976, nw = 1651 141014.0038.ec.fits: ap = 54, w1 = 5406.152, w2 = 5292.131, dw = -0.0691, nw = 1651 141014.0038.ec.fits: ap = 55, w1 = 5355.635, w2 = 5242.682, dw = -0.06846, nw = 1651 141014.0038.ec.fits: ap = 56, w1 = 5306.054, w2 = 5194.148, dw = -0.06782, nw = 1651 141014.0038.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.506, dw = -0.0672, nw = 1651 141014.0038.ec.fits: ap = 58, w1 = 5209.597, w2 = 5099.729, dw = -0.06659, nw = 1651 141014.0038.ec.fits: ap = 59, w1 = 5162.672, w2 = 5053.795, dw = -0.06599, nw = 1651 141014.0038.ec.fits: ap = 60, w1 = 5116.585, w2 = 5008.682, dw = -0.0654, nw = 1651 141014.0038.ec.fits: ap = 61, w1 = 5071.313, w2 = 4964.367, dw = -0.06482, nw = 1651 141014.0038.ec.fits: ap = 62, w1 = 5026.836, w2 = 4920.83, dw = -0.06425, nw = 1651 141014.0038.ec.fits: ap = 63, w1 = 4983.133, w2 = 4878.049, dw = -0.06369, nw = 1651 141014.0038.ec.fits: ap = 64, w1 = 4940.183, w2 = 4836.007, dw = -0.06314, nw = 1651 141014.0038.ec.fits: ap = 65, w1 = 4897.967, w2 = 4794.683, dw = -0.0626, nw = 1651 141014.0038.ec.fits: ap = 66, w1 = 4856.467, w2 = 4754.06, dw = -0.06206, nw = 1651 141014.0038.ec.fits: ap = 67, w1 = 4815.664, w2 = 4714.12, dw = -0.06154, nw = 1651 141014.0038.ec.fits: ap = 68, w1 = 4775.541, w2 = 4674.845, dw = -0.06103, nw = 1651 141014.0038.ec.fits: ap = 69, w1 = 4736.082, w2 = 4636.22, dw = -0.06052, nw = 1651 141014.0038.ec.fits: ap = 70, w1 = 4697.269, w2 = 4598.227, dw = -0.06003, nw = 1651 141014.0038.ec.fits: ap = 71, w1 = 4659.088, w2 = 4560.853, dw = -0.05954, nw = 1651 141014.0038.ec.fits: ap = 72, w1 = 4621.522, w2 = 4524.082, dw = -0.05906, nw = 1651 141014.0038.ec.fits: ap = 73, w1 = 4584.558, w2 = 4487.898, dw = -0.05858, nw = 1651 141014.0038.ec.fits: ap = 74, w1 = 4548.18, w2 = 4452.29, dw = -0.05812, nw = 1651 141014.0038.ec.fits: ap = 75, w1 = 4512.375, w2 = 4417.242, dw = -0.05766, nw = 1651 141014.0038.ec.fits: ap = 76, w1 = 4477.13, w2 = 4382.741, dw = -0.05721, nw = 1651 141014.0038.ec.fits: ap = 77, w1 = 4442.431, w2 = 4348.776, dw = -0.05676, nw = 1651 141014.0038.ec.fits: ap = 78, w1 = 4408.266, w2 = 4315.333, dw = -0.05632, nw = 1651 141014.0038.ec.fits: ap = 79, w1 = 4374.622, w2 = 4282.401, dw = -0.05589, nw = 1651 141014.0038.ec.fits: ap = 80, w1 = 4341.488, w2 = 4249.968, dw = -0.05547, nw = 1651 141014.0038.ec.fits: ap = 81, w1 = 4308.853, w2 = 4218.023, dw = -0.05505, nw = 1651 141014.0038.ec.fits: ap = 82, w1 = 4276.704, w2 = 4186.554, dw = -0.05464, nw = 1651 141014.0038.ec.fits: ap = 83, w1 = 4245.032, w2 = 4155.552, dw = -0.05423, nw = 1651 141014.0038.ec.fits: ap = 84, w1 = 4213.825, w2 = 4125.005, dw = -0.05383, nw = 1651 141014.0038.ec.fits: ap = 85, w1 = 4183.074, w2 = 4094.905, dw = -0.05344, nw = 1651 141014.0038.ec.fits: ap = 86, w1 = 4152.769, w2 = 4065.24, dw = -0.05305, nw = 1651 141014.0038.ec.fits: ap = 87, w1 = 4122.899, w2 = 4036.003, dw = -0.05266, nw = 1651 141014.0038.ec.fits: ap = 88, w1 = 4093.457, w2 = 4007.183, dw = -0.05229, nw = 1651 141014.0038.ec.fits: ap = 89, w1 = 4064.431, w2 = 3978.772, dw = -0.05191, nw = 1651 141014.0038.ec.fits: ap = 90, w1 = 4035.815, w2 = 3950.761, dw = -0.05155, nw = 1651 141014.0038.ec.fits: ap = 91, w1 = 4007.599, w2 = 3923.142, dw = -0.05119, nw = 1651 141014.0038.ec.fits: ap = 92, w1 = 3979.774, w2 = 3895.907, dw = -0.05083, nw = 1651 141014.0038.ec.fits: ap = 93, w1 = 3952.334, w2 = 3869.047, dw = -0.05048, nw = 1651 141014.0038.ec.fits: ap = 94, w1 = 3925.269, w2 = 3842.555, dw = -0.05013, nw = 1651 141014.0038.ec.fits: ap = 95, w1 = 3898.572, w2 = 3816.423, dw = -0.04979, nw = 1651 141014.0038.ec.fits: ap = 96, w1 = 3872.236, w2 = 3790.645, dw = -0.04945, nw = 1651 141014.0038.ec.fits: ap = 97, w1 = 3846.253, w2 = 3765.213, dw = -0.04912, nw = 1651 141014.0038.ec.fits: ap = 98, w1 = 3820.617, w2 = 3740.119, dw = -0.04879, nw = 1651 141014.0038.ec.fits: ap = 99, w1 = 3795.32, w2 = 3715.358, dw = -0.04846, nw = 1651 141014.0038.ec.fits: ap = 100, w1 = 3770.356, w2 = 3690.923, dw = -0.04814, nw = 1651 141014.0038.ec.fits: ap = 101, w1 = 3745.718, w2 = 3666.807, dw = -0.04782, nw = 1651 141014.0038.ec.fits: ap = 102, w1 = 3721.4, w2 = 3643.004, dw = -0.04751, nw = 1651 141014.0038.ec.fits: ap = 103, w1 = 3697.395, w2 = 3619.508, dw = -0.0472, nw = 1651 141014.0038.ec.fits: ap = 104, w1 = 3673.698, w2 = 3596.313, dw = -0.0469, nw = 1651 141014.0038.ec.fits: ap = 105, w1 = 3650.303, w2 = 3573.414, dw = -0.0466, nw = 1651 141014.0038.ec.fits: ap = 106, w1 = 3627.204, w2 = 3550.805, dw = -0.0463, nw = 1651 141014.0038.ec.fits: ap = 107, w1 = 3604.395, w2 = 3528.479, dw = -0.04601, nw = 1651 141014.0038.ec.fits: ap = 108, w1 = 3581.872, w2 = 3506.433, dw = -0.04572, nw = 1651 141014.0038.ec.fits: ap = 109, w1 = 3559.627, w2 = 3484.661, dw = -0.04543, nw = 1651 141014.0038.ec.fits: ap = 110, w1 = 3537.658, w2 = 3463.157, dw = -0.04515, nw = 1651 141014.0038.ec.fits: ap = 111, w1 = 3515.957, w2 = 3441.917, dw = -0.04487, nw = 1651 141014.0038.ec.fits: ap = 112, w1 = 3494.522, w2 = 3420.936, dw = -0.0446, nw = 1651 141014.0038.ec.fits: ap = 113, w1 = 3473.345, w2 = 3400.209, dw = -0.04433, nw = 1651 141014.0038.ec.fits: ap = 114, w1 = 3452.424, w2 = 3379.732, dw = -0.04406, nw = 1651 141014.0038.ec.fits: ap = 115, w1 = 3431.753, w2 = 3359.5, dw = -0.04379, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10811.51, w2 = 10583.39, dw = -0.13826, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10611.31, w2 = 10387.41, dw = -0.1357, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10418.4, w2 = 10198.56, dw = -0.13323, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10232.37, w2 = 10016.46, dw = -0.13086, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10052.87, w2 = 9840.739, dw = -0.12856, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9879.556, w2 = 9671.083, dw = -0.12635, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.12, w2 = 9507.178, dw = -0.12421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.265, w2 = 9348.738, dw = -0.12214, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9393.716, w2 = 9195.493, dw = -0.12014, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.218, w2 = 9047.191, dw = -0.1182, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9095.529, w2 = 8903.598, dw = -0.11632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.424, w2 = 8764.492, dw = -0.1145, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8815.691, w2 = 8629.667, dw = -0.11274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.132, w2 = 8498.928, dw = -0.11103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8552.56, w2 = 8372.092, dw = -0.10937, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8426.799, w2 = 8248.986, dw = -0.10777, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8304.683, w2 = 8129.449, dw = -0.1062, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.056, w2 = 8013.328, dw = -0.10468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8070.77, w2 = 7900.477, dw = -0.10321, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7958.687, w2 = 7790.762, dw = -0.10177, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7849.675, w2 = 7684.052, dw = -0.10038, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7743.608, w2 = 7580.227, dw = -0.09902, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.371, w2 = 7479.17, dw = -0.0977, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7539.85, w2 = 7380.773, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7441.94, w2 = 7284.932, dw = -0.09516, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.54, w2 = 7191.548, dw = -0.09393, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.556, w2 = 7100.529, dw = -0.09274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7162.896, w2 = 7011.784, dw = -0.09158, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.475, w2 = 6925.232, dw = -0.09045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.21, w2 = 6840.79, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.024, w2 = 6758.383, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6821.842, w2 = 6677.938, dw = -0.08721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.594, w2 = 6599.385, dw = -0.08619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.213, w2 = 6522.66, dw = -0.08518, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6586.633, w2 = 6447.698, dw = -0.0842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6511.793, w2 = 6374.44, dw = -0.08324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.636, w2 = 6302.828, dw = -0.08231, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.104, w2 = 6232.808, dw = -0.08139, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.144, w2 = 6164.326, dw = -0.0805, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6228.705, w2 = 6097.333, dw = -0.07962, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6161.738, w2 = 6031.781, dw = -0.07876, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.196, w2 = 5967.624, dw = -0.07792, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.033, w2 = 5904.817, dw = -0.0771, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.208, w2 = 5843.318, dw = -0.0763, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5907.677, w2 = 5783.088, dw = -0.07551, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.403, w2 = 5724.087, dw = -0.07474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.346, w2 = 5666.277, dw = -0.07398, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.47, w2 = 5609.624, dw = -0.07324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5673.741, w2 = 5554.093, dw = -0.07251, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.123, w2 = 5499.651, dw = -0.0718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.586, w2 = 5446.265, dw = -0.0711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.098, w2 = 5393.907, dw = -0.07042, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.628, w2 = 5342.545, dw = -0.06975, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.149, w2 = 5292.153, dw = -0.06909, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.631, w2 = 5242.703, dw = -0.06844, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.05, w2 = 5194.168, dw = -0.06781, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.378, w2 = 5146.524, dw = -0.06718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.591, w2 = 5099.747, dw = -0.06657, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.665, w2 = 5053.812, dw = -0.06597, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.578, w2 = 5008.698, dw = -0.06538, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.306, w2 = 4964.382, dw = -0.0648, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5026.828, w2 = 4920.844, dw = -0.06423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.124, w2 = 4878.063, dw = -0.06367, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.173, w2 = 4836.02, dw = -0.06312, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4897.957, w2 = 4794.696, dw = -0.06258, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.457, w2 = 4754.072, dw = -0.06205, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.654, w2 = 4714.131, dw = -0.06153, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.531, w2 = 4674.857, dw = -0.06101, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.071, w2 = 4636.231, dw = -0.06051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.259, w2 = 4598.239, dw = -0.06001, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.077, w2 = 4560.865, dw = -0.05952, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.512, w2 = 4524.094, dw = -0.05904, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.548, w2 = 4487.911, dw = -0.05857, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.17, w2 = 4452.303, dw = -0.0581, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.366, w2 = 4417.256, dw = -0.05764, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.121, w2 = 4382.757, dw = -0.05719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.422, w2 = 4348.794, dw = -0.05674, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.258, w2 = 4315.353, dw = -0.05631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.615, w2 = 4282.423, dw = -0.05587, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.483, w2 = 4249.992, dw = -0.05545, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4308.848, w2 = 4218.049, dw = -0.05503, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.701, w2 = 4186.584, dw = -0.05462, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.03, w2 = 4155.585, dw = -0.05421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4213.826, w2 = 4125.042, dw = -0.05381, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.076, w2 = 4094.946, dw = -0.05341, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4152.773, w2 = 4065.286, dw = -0.05302, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4122.906, w2 = 4036.054, dw = -0.05264, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.465, w2 = 4007.239, dw = -0.05226, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.443, w2 = 3978.834, dw = -0.05188, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4035.829, w2 = 3950.83, dw = -0.05151, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.616, w2 = 3923.218, dw = -0.05115, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.989, dw = -0.05079, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.358, w2 = 3869.137, dw = -0.05044, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.296, w2 = 3842.654, dw = -0.05009, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.603, w2 = 3816.531, dw = -0.04974, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.271, w2 = 3790.762, dw = -0.0494, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.293, w2 = 3765.34, dw = -0.04906, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.662, w2 = 3740.257, dw = -0.04873, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.37, w2 = 3715.507, dw = -0.0484, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.411, w2 = 3691.084, dw = -0.04808, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3745.778, w2 = 3666.981, dw = -0.04776, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.466, w2 = 3643.191, dw = -0.04744, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.467, w2 = 3619.709, dw = -0.04713, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.777, w2 = 3596.529, dw = -0.04682, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.388, w2 = 3573.645, dw = -0.04651, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.296, w2 = 3551.052, dw = -0.04621, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.494, w2 = 3528.744, dw = -0.04591, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3581.978, w2 = 3506.715, dw = -0.04561, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.742, w2 = 3484.962, dw = -0.04532, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.781, w2 = 3463.477, dw = -0.04503, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.089, w2 = 3442.257, dw = -0.04475, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.662, w2 = 3421.297, dw = -0.04446, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.495, w2 = 3400.592, dw = -0.04418, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.583, w2 = 3380.138, dw = -0.04391, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3431.922, w2 = 3359.929, dw = -0.04363, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10811.52, w2 = 10583.39, dw = -0.13826, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10611.33, w2 = 10387.42, dw = -0.1357, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10418.41, w2 = 10198.58, dw = -0.13324, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10232.39, w2 = 10016.48, dw = -0.13086, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10052.89, w2 = 9840.765, dw = -0.12856, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9879.578, w2 = 9671.113, dw = -0.12634, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.143, w2 = 9507.212, dw = -0.1242, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.289, w2 = 9348.774, dw = -0.12213, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9393.74, w2 = 9195.53, dw = -0.12013, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.242, w2 = 9047.229, dw = -0.11819, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9095.553, w2 = 8903.637, dw = -0.11631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8953.447, w2 = 8764.531, dw = -0.11449, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8815.714, w2 = 8629.706, dw = -0.11273, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.155, w2 = 8498.966, dw = -0.11102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8552.582, w2 = 8372.128, dw = -0.10937, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8426.82, w2 = 8249.021, dw = -0.10776, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8304.703, w2 = 8129.482, dw = -0.10619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.075, w2 = 8013.359, dw = -0.10468, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8070.788, w2 = 7900.507, dw = -0.1032, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7958.704, w2 = 7790.789, dw = -0.10177, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7849.69, w2 = 7684.077, dw = -0.10037, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7743.623, w2 = 7580.25, dw = -0.09901, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.384, w2 = 7479.191, dw = -0.09769, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7539.862, w2 = 7380.792, dw = -0.09641, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7441.951, w2 = 7284.948, dw = -0.09515, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7346.55, w2 = 7191.562, dw = -0.09393, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7253.565, w2 = 7100.54, dw = -0.09274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7162.904, w2 = 7011.794, dw = -0.09158, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.481, w2 = 6925.239, dw = -0.09045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.216, w2 = 6840.795, dw = -0.08935, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.029, w2 = 6758.386, dw = -0.08827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6821.846, w2 = 6677.94, dw = -0.08722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6741.597, w2 = 6599.386, dw = -0.08619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.215, w2 = 6522.659, dw = -0.08519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6586.634, w2 = 6447.696, dw = -0.08421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6511.794, w2 = 6374.437, dw = -0.08325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6438.636, w2 = 6302.824, dw = -0.08231, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.104, w2 = 6232.803, dw = -0.08139, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.143, w2 = 6164.32, dw = -0.0805, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6228.704, w2 = 6097.327, dw = -0.07962, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6161.737, w2 = 6031.774, dw = -0.07877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.194, w2 = 5967.616, dw = -0.07793, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.031, w2 = 5904.809, dw = -0.0771, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.206, w2 = 5843.311, dw = -0.0763, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5907.675, w2 = 5783.08, dw = -0.07551, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.401, w2 = 5724.079, dw = -0.07474, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.344, w2 = 5666.27, dw = -0.07398, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.468, w2 = 5609.617, dw = -0.07324, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5673.739, w2 = 5554.086, dw = -0.07252, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.122, w2 = 5499.645, dw = -0.0718, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.585, w2 = 5446.26, dw = -0.07111, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.097, w2 = 5393.902, dw = -0.07042, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.628, w2 = 5342.541, dw = -0.06975, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.149, w2 = 5292.15, dw = -0.06909, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.632, w2 = 5242.7, dw = -0.06844, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.051, w2 = 5194.167, dw = -0.06781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.379, w2 = 5146.524, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.593, w2 = 5099.747, dw = -0.06657, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5162.668, w2 = 5053.814, dw = -0.06597, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.581, w2 = 5008.7, dw = -0.06538, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.309, w2 = 4964.385, dw = -0.0648, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5026.832, w2 = 4920.848, dw = -0.06423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.129, w2 = 4878.068, dw = -0.06367, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.179, w2 = 4836.025, dw = -0.06312, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4897.963, w2 = 4794.702, dw = -0.06258, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.463, w2 = 4754.079, dw = -0.06205, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.661, w2 = 4714.138, dw = -0.06153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.538, w2 = 4674.864, dw = -0.06102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.079, w2 = 4636.238, dw = -0.06051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.267, w2 = 4598.246, dw = -0.06001, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.086, w2 = 4560.872, dw = -0.05952, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.521, w2 = 4524.1, dw = -0.05904, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.558, w2 = 4487.917, dw = -0.05857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.18, w2 = 4452.308, dw = -0.0581, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.376, w2 = 4417.26, dw = -0.05765, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.132, w2 = 4382.76, dw = -0.05719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.433, w2 = 4348.795, dw = -0.05675, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.269, w2 = 4315.352, dw = -0.05631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.626, w2 = 4282.42, dw = -0.05588, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.494, w2 = 4249.987, dw = -0.05546, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4308.859, w2 = 4218.041, dw = -0.05504, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.711, w2 = 4186.572, dw = -0.05463, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.04, w2 = 4155.57, dw = -0.05422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4213.835, w2 = 4125.023, dw = -0.05383, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.085, w2 = 4094.923, dw = -0.05343, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4152.781, w2 = 4065.258, dw = -0.05304, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4122.913, w2 = 4036.021, dw = -0.05266, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.472, w2 = 4007.201, dw = -0.05229, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.448, w2 = 3978.789, dw = -0.05191, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4035.833, w2 = 3950.778, dw = -0.05155, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.618, w2 = 3923.159, dw = -0.05119, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3979.796, w2 = 3895.923, dw = -0.05083, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.357, w2 = 3869.063, dw = -0.05048, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.293, w2 = 3842.571, dw = -0.05014, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.598, w2 = 3816.439, dw = -0.04979, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.264, w2 = 3790.66, dw = -0.04946, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.283, w2 = 3765.227, dw = -0.04913, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.649, w2 = 3740.133, dw = -0.0488, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.354, w2 = 3715.371, dw = -0.04847, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.392, w2 = 3690.935, dw = -0.04816, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.756, w2 = 3666.818, dw = -0.04784, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.44, w2 = 3643.015, dw = -0.04753, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.438, w2 = 3619.518, dw = -0.04722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.743, w2 = 3596.323, dw = -0.04692, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.351, w2 = 3573.423, dw = -0.04662, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.254, w2 = 3550.812, dw = -0.04633, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.448, w2 = 3528.486, dw = -0.04604, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3581.926, w2 = 3506.439, dw = -0.04575, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.685, w2 = 3484.666, dw = -0.04547, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.718, w2 = 3463.161, dw = -0.04519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.02, w2 = 3441.92, dw = -0.04491, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.587, w2 = 3420.937, dw = -0.04464, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.414, w2 = 3400.209, dw = -0.04437, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.495, w2 = 3379.73, dw = -0.0441, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.827, w2 = 3359.497, dw = -0.04384, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10811.47, w2 = 10583.4, dw = -0.13823, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10611.28, w2 = 10387.43, dw = -0.13567, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10418.38, w2 = 10198.58, dw = -0.13321, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10232.36, w2 = 10016.48, dw = -0.13083, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10052.87, w2 = 9840.771, dw = -0.12854, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9879.561, w2 = 9671.118, dw = -0.12633, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.131, w2 = 9507.216, dw = -0.12419, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.281, w2 = 9348.778, dw = -0.12212, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9393.737, w2 = 9195.534, dw = -0.12012, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.242, w2 = 9047.233, dw = -0.11819, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9095.555, w2 = 8903.64, dw = -0.11631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8953.452, w2 = 8764.534, dw = -0.1145, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8815.721, w2 = 8629.708, dw = -0.11274, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.163, w2 = 8498.968, dw = -0.11103, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8552.592, w2 = 8372.13, dw = -0.10937, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8426.831, w2 = 8249.023, dw = -0.10776, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8304.715, w2 = 8129.484, dw = -0.1062, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.087, w2 = 8013.361, dw = -0.10468, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8070.801, w2 = 7900.508, dw = -0.10321, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7958.717, w2 = 7790.791, dw = -0.10177, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7849.704, w2 = 7684.079, dw = -0.10038, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7743.637, w2 = 7580.252, dw = -0.09902, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.398, w2 = 7479.193, dw = -0.0977, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7539.876, w2 = 7380.794, dw = -0.09641, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7441.964, w2 = 7284.95, dw = -0.09516, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7346.563, w2 = 7191.564, dw = -0.09394, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7253.577, w2 = 7100.543, dw = -0.09275, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7162.916, w2 = 7011.797, dw = -0.09159, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.493, w2 = 6925.242, dw = -0.09046, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.227, w2 = 6840.798, dw = -0.08935, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.04, w2 = 6758.39, dw = -0.08827, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6821.857, w2 = 6677.943, dw = -0.08722, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6741.608, w2 = 6599.39, dw = -0.08619, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.225, w2 = 6522.663, dw = -0.08519, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6586.644, w2 = 6447.7, dw = -0.08421, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6511.803, w2 = 6374.441, dw = -0.08325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6438.645, w2 = 6302.829, dw = -0.08231, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.112, w2 = 6232.807, dw = -0.0814, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.151, w2 = 6164.325, dw = -0.0805, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6228.712, w2 = 6097.332, dw = -0.07962, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6161.744, w2 = 6031.779, dw = -0.07877, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.201, w2 = 5967.622, dw = -0.07793, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.039, w2 = 5904.815, dw = -0.07711, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.213, w2 = 5843.316, dw = -0.0763, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5907.682, w2 = 5783.086, dw = -0.07551, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.408, w2 = 5724.085, dw = -0.07474, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.351, w2 = 5666.276, dw = -0.07398, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.475, w2 = 5609.624, dw = -0.07324, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5673.746, w2 = 5554.093, dw = -0.07252, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.129, w2 = 5499.651, dw = -0.0718, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.592, w2 = 5446.266, dw = -0.07111, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.104, w2 = 5393.908, dw = -0.07042, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5457.635, w2 = 5342.548, dw = -0.06975, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.156, w2 = 5292.156, dw = -0.06909, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5355.639, w2 = 5242.707, dw = -0.06844, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.058, w2 = 5194.173, dw = -0.06781, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.387, w2 = 5146.53, dw = -0.06719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.601, w2 = 5099.753, dw = -0.06657, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5162.675, w2 = 5053.819, dw = -0.06597, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.588, w2 = 5008.706, dw = -0.06538, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.317, w2 = 4964.391, dw = -0.0648, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5026.84, w2 = 4920.853, dw = -0.06423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.137, w2 = 4878.073, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.187, w2 = 4836.03, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4897.971, w2 = 4794.706, dw = -0.06258, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.471, w2 = 4754.082, dw = -0.06205, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.668, w2 = 4714.141, dw = -0.06153, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.546, w2 = 4674.866, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.086, w2 = 4636.24, dw = -0.06051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.274, w2 = 4598.248, dw = -0.06002, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.093, w2 = 4560.873, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.527, w2 = 4524.101, dw = -0.05905, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.562, w2 = 4487.917, dw = -0.05857, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.184, w2 = 4452.307, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.379, w2 = 4417.259, dw = -0.05765, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.134, w2 = 4382.758, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.434, w2 = 4348.792, dw = -0.05675, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.269, w2 = 4315.348, dw = -0.05632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.625, w2 = 4282.415, dw = -0.05588, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.49, w2 = 4249.981, dw = -0.05546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4308.854, w2 = 4218.034, dw = -0.05504, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4276.705, w2 = 4186.564, dw = -0.05463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.031, w2 = 4155.561, dw = -0.05422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4213.824, w2 = 4125.013, dw = -0.05382, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.072, w2 = 4094.911, dw = -0.05343, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4152.765, w2 = 4065.245, dw = -0.05304, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4122.894, w2 = 4036.006, dw = -0.05266, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.449, w2 = 4007.185, dw = -0.05228, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.422, w2 = 3978.772, dw = -0.05191, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4035.804, w2 = 3950.76, dw = -0.05154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.586, w2 = 3923.139, dw = -0.05118, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3979.759, w2 = 3895.901, dw = -0.05082, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.315, w2 = 3869.039, dw = -0.05047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.248, w2 = 3842.545, dw = -0.05012, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.548, w2 = 3816.412, dw = -0.04978, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.208, w2 = 3790.631, dw = -0.04944, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.222, w2 = 3765.196, dw = -0.04911, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.582, w2 = 3740.1, dw = -0.04878, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.281, w2 = 3715.336, dw = -0.04845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.313, w2 = 3690.898, dw = -0.04813, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.67, w2 = 3666.779, dw = -0.04781, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.347, w2 = 3642.974, dw = -0.0475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.338, w2 = 3619.475, dw = -0.04719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.635, w2 = 3596.277, dw = -0.04688, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.234, w2 = 3573.375, dw = -0.04658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.129, w2 = 3550.762, dw = -0.04628, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.314, w2 = 3528.433, dw = -0.04599, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3581.784, w2 = 3506.383, dw = -0.0457, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.532, w2 = 3484.607, dw = -0.04541, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.555, w2 = 3463.1, dw = -0.04512, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3515.847, w2 = 3441.856, dw = -0.04484, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.403, w2 = 3420.87, dw = -0.04457, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.218, w2 = 3400.139, dw = -0.04429, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.288, w2 = 3379.658, dw = -0.04402, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3431.607, w2 = 3359.421, dw = -0.04375, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10811.53, w2 = 10583.36, dw = -0.13828, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.34, w2 = 10387.39, dw = -0.13572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10418.42, w2 = 10198.55, dw = -0.13325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.46, dw = -0.13087, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.75, dw = -0.12858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9879.591, w2 = 9671.101, dw = -0.12636, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.157, w2 = 9507.203, dw = -0.12421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.303, w2 = 9348.767, dw = -0.12214, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9393.756, w2 = 9195.526, dw = -0.12014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.258, w2 = 9047.227, dw = -0.1182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9095.569, w2 = 8903.636, dw = -0.11632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.464, w2 = 8764.532, dw = -0.1145, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8815.731, w2 = 8629.708, dw = -0.11274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.171, w2 = 8498.97, dw = -0.11103, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8552.598, w2 = 8372.134, dw = -0.10937, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8426.836, w2 = 8249.028, dw = -0.10776, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8304.719, w2 = 8129.49, dw = -0.1062, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.091, w2 = 8013.367, dw = -0.10468, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8070.804, w2 = 7900.516, dw = -0.1032, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7958.719, w2 = 7790.799, dw = -0.10177, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7849.706, w2 = 7684.088, dw = -0.10037, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7743.638, w2 = 7580.261, dw = -0.09902, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.399, w2 = 7479.202, dw = -0.0977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7539.877, w2 = 7380.803, dw = -0.09641, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7441.966, w2 = 7284.96, dw = -0.09515, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.565, w2 = 7191.574, dw = -0.09393, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.579, w2 = 7100.553, dw = -0.09274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7162.918, w2 = 7011.807, dw = -0.09158, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.496, w2 = 6925.252, dw = -0.09045, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.23, w2 = 6840.809, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.043, w2 = 6758.4, dw = -0.08827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6821.86, w2 = 6677.953, dw = -0.08722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.612, w2 = 6599.399, dw = -0.08619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.229, w2 = 6522.672, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6586.649, w2 = 6447.709, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6511.809, w2 = 6374.45, dw = -0.08325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6438.65, w2 = 6302.837, dw = -0.08231, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.118, w2 = 6232.816, dw = -0.0814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.158, w2 = 6164.334, dw = -0.0805, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6228.719, w2 = 6097.34, dw = -0.07962, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6161.752, w2 = 6031.787, dw = -0.07877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.209, w2 = 5967.629, dw = -0.07793, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.047, w2 = 5904.822, dw = -0.07711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.221, w2 = 5843.324, dw = -0.0763, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5907.691, w2 = 5783.093, dw = -0.07551, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.417, w2 = 5724.092, dw = -0.07474, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.36, w2 = 5666.283, dw = -0.07399, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.485, w2 = 5609.63, dw = -0.07325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5673.756, w2 = 5554.099, dw = -0.07252, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.139, w2 = 5499.657, dw = -0.07181, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.602, w2 = 5446.272, dw = -0.07111, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.114, w2 = 5393.914, dw = -0.07042, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.645, w2 = 5342.553, dw = -0.06975, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.166, w2 = 5292.162, dw = -0.06909, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.649, w2 = 5242.712, dw = -0.06845, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.068, w2 = 5194.178, dw = -0.06781, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.397, w2 = 5146.535, dw = -0.06719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.61, w2 = 5099.758, dw = -0.06658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.685, w2 = 5053.825, dw = -0.06598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.597, w2 = 5008.711, dw = -0.06539, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.326, w2 = 4964.396, dw = -0.06481, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5026.848, w2 = 4920.858, dw = -0.06424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.144, w2 = 4878.078, dw = -0.06368, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.194, w2 = 4836.036, dw = -0.06313, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4897.978, w2 = 4794.712, dw = -0.06259, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.477, w2 = 4754.088, dw = -0.06205, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.674, w2 = 4714.148, dw = -0.06153, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.55, w2 = 4674.873, dw = -0.06102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.09, w2 = 4636.247, dw = -0.06051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.277, w2 = 4598.255, dw = -0.06001, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.094, w2 = 4560.88, dw = -0.05952, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.528, w2 = 4524.108, dw = -0.05904, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.562, w2 = 4487.925, dw = -0.05857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.183, w2 = 4452.316, dw = -0.0581, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.377, w2 = 4417.267, dw = -0.05764, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.13, w2 = 4382.767, dw = -0.05719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.43, w2 = 4348.801, dw = -0.05674, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.263, w2 = 4315.358, dw = -0.05631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.618, w2 = 4282.425, dw = -0.05587, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.482, w2 = 4249.991, dw = -0.05545, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4308.844, w2 = 4218.045, dw = -0.05503, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.693, w2 = 4186.576, dw = -0.05462, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.019, w2 = 4155.573, dw = -0.05421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4213.81, w2 = 4125.026, dw = -0.05381, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.056, w2 = 4094.924, dw = -0.05341, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4152.748, w2 = 4065.259, dw = -0.05302, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4122.875, w2 = 4036.021, dw = -0.05264, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.429, w2 = 4007.2, dw = -0.05226, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.401, w2 = 3978.788, dw = -0.05189, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4035.78, w2 = 3950.776, dw = -0.05152, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.56, w2 = 3923.155, dw = -0.05115, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3979.732, w2 = 3895.918, dw = -0.0508, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.287, w2 = 3869.057, dw = -0.05044, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.217, w2 = 3842.564, dw = -0.05009, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.515, w2 = 3816.431, dw = -0.04975, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.174, w2 = 3790.65, dw = -0.04941, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.186, w2 = 3765.216, dw = -0.04907, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.544, w2 = 3740.121, dw = -0.04874, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.241, w2 = 3715.358, dw = -0.04841, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.271, w2 = 3690.92, dw = -0.04809, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3745.627, w2 = 3666.802, dw = -0.04777, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.302, w2 = 3642.997, dw = -0.04746, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.29, w2 = 3619.499, dw = -0.04715, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.586, w2 = 3596.301, dw = -0.04684, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.183, w2 = 3573.399, dw = -0.04654, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.076, w2 = 3550.787, dw = -0.04624, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.259, w2 = 3528.459, dw = -0.04594, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3581.727, w2 = 3506.41, dw = -0.04565, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.473, w2 = 3484.634, dw = -0.04536, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.494, w2 = 3463.127, dw = -0.04507, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3515.784, w2 = 3441.883, dw = -0.04479, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.338, w2 = 3420.899, dw = -0.04451, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.151, w2 = 3400.168, dw = -0.04423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.219, w2 = 3379.687, dw = -0.04396, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3431.537, w2 = 3359.45, dw = -0.04369, nw = 1651 EchelleThAr.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 1.' zEchelleThAr.0024.ec.fits: ap = 1, w1 = 10811.59, w2 = 10583.39, dw = -0.1383, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 2, w1 = 10611.38, w2 = 10387.42, dw = -0.13574, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 3, w1 = 10418.46, w2 = 10198.57, dw = -0.13327, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 4, w1 = 10232.43, w2 = 10016.47, dw = -0.13089, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 5, w1 = 10052.92, w2 = 9840.755, dw = -0.12859, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 6, w1 = 9879.608, w2 = 9671.101, dw = -0.12637, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 7, w1 = 9712.167, w2 = 9507.198, dw = -0.12422, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 8, w1 = 9550.308, w2 = 9348.759, dw = -0.12215, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 9, w1 = 9393.757, w2 = 9195.514, dw = -0.12015, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 10, w1 = 9242.255, w2 = 9047.213, dw = -0.11821, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 11, w1 = 9095.563, w2 = 8903.619, dw = -0.11633, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 12, w1 = 8953.455, w2 = 8764.513, dw = -0.11451, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 13, w1 = 8815.72, w2 = 8629.687, dw = -0.11275, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 14, w1 = 8682.159, w2 = 8498.947, dw = -0.11104, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 15, w1 = 8552.584, w2 = 8372.109, dw = -0.10938, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 16, w1 = 8426.821, w2 = 8249.002, dw = -0.10777, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 17, w1 = 8304.703, w2 = 8129.463, dw = -0.10621, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 18, w1 = 8186.075, w2 = 8013.34, dw = -0.10469, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 19, w1 = 8070.788, w2 = 7900.488, dw = -0.10321, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 20, w1 = 7958.704, w2 = 7790.77, dw = -0.10178, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 21, w1 = 7849.69, w2 = 7684.059, dw = -0.10038, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 22, w1 = 7743.623, w2 = 7580.231, dw = -0.09903, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 23, w1 = 7640.384, w2 = 7479.173, dw = -0.0977, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 24, w1 = 7539.863, w2 = 7380.774, dw = -0.09642, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 25, w1 = 7441.952, w2 = 7284.931, dw = -0.09516, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 26, w1 = 7346.552, w2 = 7191.545, dw = -0.09394, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 27, w1 = 7253.567, w2 = 7100.524, dw = -0.09275, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 28, w1 = 7162.907, w2 = 7011.778, dw = -0.09159, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 29, w1 = 7074.485, w2 = 6925.224, dw = -0.09046, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 30, w1 = 6988.22, w2 = 6840.781, dw = -0.08936, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 31, w1 = 6904.034, w2 = 6758.372, dw = -0.08828, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 32, w1 = 6821.853, w2 = 6677.926, dw = -0.08723, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 33, w1 = 6741.605, w2 = 6599.373, dw = -0.0862, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 34, w1 = 6663.223, w2 = 6522.647, dw = -0.0852, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 35, w1 = 6586.643, w2 = 6447.684, dw = -0.08422, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 36, w1 = 6511.804, w2 = 6374.426, dw = -0.08326, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 37, w1 = 6438.647, w2 = 6302.813, dw = -0.08232, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 38, w1 = 6367.115, w2 = 6232.792, dw = -0.08141, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 39, w1 = 6297.155, w2 = 6164.311, dw = -0.08051, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 40, w1 = 6228.717, w2 = 6097.318, dw = -0.07964, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 41, w1 = 6161.75, w2 = 6031.765, dw = -0.07878, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 42, w1 = 6096.208, w2 = 5967.608, dw = -0.07794, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 43, w1 = 6032.046, w2 = 5904.801, dw = -0.07712, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 44, w1 = 5969.221, w2 = 5843.303, dw = -0.07631, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 45, w1 = 5907.691, w2 = 5783.073, dw = -0.07553, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 46, w1 = 5847.417, w2 = 5724.073, dw = -0.07475, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 47, w1 = 5788.36, w2 = 5666.264, dw = -0.074, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 48, w1 = 5730.485, w2 = 5609.611, dw = -0.07326, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 49, w1 = 5673.756, w2 = 5554.081, dw = -0.07253, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 50, w1 = 5618.139, w2 = 5499.639, dw = -0.07182, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 51, w1 = 5563.602, w2 = 5446.255, dw = -0.07112, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 52, w1 = 5510.114, w2 = 5393.897, dw = -0.07043, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 53, w1 = 5457.644, w2 = 5342.537, dw = -0.06976, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 54, w1 = 5406.165, w2 = 5292.146, dw = -0.0691, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 55, w1 = 5355.648, w2 = 5242.696, dw = -0.06846, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 56, w1 = 5306.066, w2 = 5194.163, dw = -0.06782, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 57, w1 = 5257.394, w2 = 5146.52, dw = -0.0672, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 58, w1 = 5209.607, w2 = 5099.744, dw = -0.06658, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 59, w1 = 5162.682, w2 = 5053.81, dw = -0.06598, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 60, w1 = 5116.594, w2 = 5008.697, dw = -0.06539, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 61, w1 = 5071.321, w2 = 4964.382, dw = -0.06481, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 62, w1 = 5026.844, w2 = 4920.845, dw = -0.06424, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 63, w1 = 4983.139, w2 = 4878.065, dw = -0.06368, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 64, w1 = 4940.188, w2 = 4836.022, dw = -0.06313, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 65, w1 = 4897.971, w2 = 4794.698, dw = -0.06259, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 66, w1 = 4856.47, w2 = 4754.075, dw = -0.06206, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 67, w1 = 4815.666, w2 = 4714.135, dw = -0.06153, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 68, w1 = 4775.543, w2 = 4674.86, dw = -0.06102, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 69, w1 = 4736.082, w2 = 4636.234, dw = -0.06051, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 70, w1 = 4697.269, w2 = 4598.242, dw = -0.06002, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 71, w1 = 4659.086, w2 = 4560.868, dw = -0.05953, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 72, w1 = 4621.519, w2 = 4524.096, dw = -0.05904, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 73, w1 = 4584.553, w2 = 4487.913, dw = -0.05857, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 74, w1 = 4548.174, w2 = 4452.304, dw = -0.0581, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 75, w1 = 4512.368, w2 = 4417.255, dw = -0.05764, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 76, w1 = 4477.122, w2 = 4382.755, dw = -0.05719, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 77, w1 = 4442.421, w2 = 4348.789, dw = -0.05675, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 78, w1 = 4408.255, w2 = 4315.346, dw = -0.05631, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 79, w1 = 4374.61, w2 = 4282.414, dw = -0.05588, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 80, w1 = 4341.475, w2 = 4249.98, dw = -0.05545, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 81, w1 = 4308.838, w2 = 4218.035, dw = -0.05503, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 82, w1 = 4276.688, w2 = 4186.566, dw = -0.05462, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 83, w1 = 4245.015, w2 = 4155.563, dw = -0.05421, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 84, w1 = 4213.807, w2 = 4125.016, dw = -0.05381, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 85, w1 = 4183.054, w2 = 4094.915, dw = -0.05342, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 86, w1 = 4152.748, w2 = 4065.25, dw = -0.05303, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 87, w1 = 4122.877, w2 = 4036.013, dw = -0.05265, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 88, w1 = 4093.433, w2 = 4007.192, dw = -0.05227, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 89, w1 = 4064.406, w2 = 3978.781, dw = -0.05189, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 90, w1 = 4035.789, w2 = 3950.769, dw = -0.05153, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 91, w1 = 4007.571, w2 = 3923.15, dw = -0.05116, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 92, w1 = 3979.745, w2 = 3895.914, dw = -0.05081, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 93, w1 = 3952.303, w2 = 3869.053, dw = -0.05045, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 94, w1 = 3925.237, w2 = 3842.561, dw = -0.05011, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 95, w1 = 3898.539, w2 = 3816.428, dw = -0.04976, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 96, w1 = 3872.202, w2 = 3790.649, dw = -0.04943, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 97, w1 = 3846.218, w2 = 3765.216, dw = -0.04909, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 98, w1 = 3820.581, w2 = 3740.122, dw = -0.04876, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 99, w1 = 3795.283, w2 = 3715.36, dw = -0.04844, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 100, w1 = 3770.318, w2 = 3690.924, dw = -0.04812, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 101, w1 = 3745.679, w2 = 3666.807, dw = -0.0478, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 102, w1 = 3721.36, w2 = 3643.004, dw = -0.04749, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 103, w1 = 3697.355, w2 = 3619.507, dw = -0.04718, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 104, w1 = 3673.657, w2 = 3596.312, dw = -0.04688, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 105, w1 = 3650.261, w2 = 3573.411, dw = -0.04658, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 106, w1 = 3627.161, w2 = 3550.801, dw = -0.04628, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 107, w1 = 3604.352, w2 = 3528.475, dw = -0.04599, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 108, w1 = 3581.828, w2 = 3506.428, dw = -0.0457, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 109, w1 = 3559.583, w2 = 3484.655, dw = -0.04541, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 110, w1 = 3537.613, w2 = 3463.15, dw = -0.04513, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 111, w1 = 3515.913, w2 = 3441.909, dw = -0.04485, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 112, w1 = 3494.476, w2 = 3420.927, dw = -0.04458, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 113, w1 = 3473.3, w2 = 3400.199, dw = -0.0443, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 114, w1 = 3452.379, w2 = 3379.721, dw = -0.04404, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 115, w1 = 3431.708, w2 = 3359.487, dw = -0.04377, nw = 1651 EchelleThAr.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 1.' zEchelleThAr.0028.ec.fits: ap = 1, w1 = 10811.53, w2 = 10583.33, dw = -0.1383, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 2, w1 = 10611.33, w2 = 10387.36, dw = -0.13574, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 3, w1 = 10418.41, w2 = 10198.52, dw = -0.13327, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 4, w1 = 10232.39, w2 = 10016.43, dw = -0.13088, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 5, w1 = 10052.89, w2 = 9840.722, dw = -0.12858, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 6, w1 = 9879.576, w2 = 9671.074, dw = -0.12636, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 7, w1 = 9712.14, w2 = 9507.176, dw = -0.12422, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 8, w1 = 9550.285, w2 = 9348.741, dw = -0.12215, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 9, w1 = 9393.737, w2 = 9195.501, dw = -0.12014, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 10, w1 = 9242.238, w2 = 9047.203, dw = -0.1182, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 11, w1 = 9095.549, w2 = 8903.613, dw = -0.11633, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 12, w1 = 8953.444, w2 = 8764.51, dw = -0.11451, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 13, w1 = 8815.711, w2 = 8629.686, dw = -0.11274, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 14, w1 = 8682.152, w2 = 8498.948, dw = -0.11103, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 15, w1 = 8552.58, w2 = 8372.112, dw = -0.10937, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 16, w1 = 8426.818, w2 = 8249.007, dw = -0.10776, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 17, w1 = 8304.701, w2 = 8129.469, dw = -0.1062, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 18, w1 = 8186.074, w2 = 8013.347, dw = -0.10468, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 19, w1 = 8070.788, w2 = 7900.495, dw = -0.10321, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 20, w1 = 7958.704, w2 = 7790.779, dw = -0.10177, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 21, w1 = 7849.691, w2 = 7684.068, dw = -0.10038, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 22, w1 = 7743.625, w2 = 7580.241, dw = -0.09902, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 23, w1 = 7640.386, w2 = 7479.182, dw = -0.0977, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 24, w1 = 7539.865, w2 = 7380.783, dw = -0.09641, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 25, w1 = 7441.954, w2 = 7284.94, dw = -0.09516, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 26, w1 = 7346.554, w2 = 7191.554, dw = -0.09394, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 27, w1 = 7253.569, w2 = 7100.532, dw = -0.09275, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 28, w1 = 7162.909, w2 = 7011.786, dw = -0.09159, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 29, w1 = 7074.487, w2 = 6925.231, dw = -0.09046, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 30, w1 = 6988.222, w2 = 6840.788, dw = -0.08935, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 31, w1 = 6904.035, w2 = 6758.379, dw = -0.08828, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 32, w1 = 6821.853, w2 = 6677.932, dw = -0.08722, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 33, w1 = 6741.604, w2 = 6599.378, dw = -0.0862, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 34, w1 = 6663.222, w2 = 6522.65, dw = -0.08519, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 35, w1 = 6586.642, w2 = 6447.687, dw = -0.08421, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 36, w1 = 6511.802, w2 = 6374.428, dw = -0.08326, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 37, w1 = 6438.644, w2 = 6302.814, dw = -0.08232, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 38, w1 = 6367.111, w2 = 6232.793, dw = -0.08141, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 39, w1 = 6297.151, w2 = 6164.31, dw = -0.08051, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 40, w1 = 6228.712, w2 = 6097.316, dw = -0.07963, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 41, w1 = 6161.745, w2 = 6031.763, dw = -0.07878, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 42, w1 = 6096.202, w2 = 5967.605, dw = -0.07794, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 43, w1 = 6032.039, w2 = 5904.797, dw = -0.07712, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 44, w1 = 5969.213, w2 = 5843.298, dw = -0.07631, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 45, w1 = 5907.683, w2 = 5783.067, dw = -0.07552, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 46, w1 = 5847.408, w2 = 5724.066, dw = -0.07475, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 47, w1 = 5788.351, w2 = 5666.256, dw = -0.074, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 48, w1 = 5730.475, w2 = 5609.603, dw = -0.07326, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 49, w1 = 5673.745, w2 = 5554.072, dw = -0.07253, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 50, w1 = 5618.128, w2 = 5499.63, dw = -0.07182, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 51, w1 = 5563.591, w2 = 5446.245, dw = -0.07112, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 52, w1 = 5510.102, w2 = 5393.886, dw = -0.07043, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 53, w1 = 5457.633, w2 = 5342.525, dw = -0.06976, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 54, w1 = 5406.153, w2 = 5292.134, dw = -0.0691, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 55, w1 = 5355.636, w2 = 5242.684, dw = -0.06846, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 56, w1 = 5306.055, w2 = 5194.15, dw = -0.06782, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 57, w1 = 5257.383, w2 = 5146.507, dw = -0.0672, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 58, w1 = 5209.596, w2 = 5099.73, dw = -0.06659, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 59, w1 = 5162.67, w2 = 5053.796, dw = -0.06598, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 60, w1 = 5116.583, w2 = 5008.683, dw = -0.06539, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 61, w1 = 5071.311, w2 = 4964.368, dw = -0.06481, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 62, w1 = 5026.834, w2 = 4920.83, dw = -0.06424, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 63, w1 = 4983.13, w2 = 4878.05, dw = -0.06368, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 64, w1 = 4940.18, w2 = 4836.008, dw = -0.06313, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 65, w1 = 4897.964, w2 = 4794.684, dw = -0.06259, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 66, w1 = 4856.463, w2 = 4754.061, dw = -0.06206, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 67, w1 = 4815.661, w2 = 4714.121, dw = -0.06154, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 68, w1 = 4775.538, w2 = 4674.846, dw = -0.06103, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 69, w1 = 4736.079, w2 = 4636.221, dw = -0.06052, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 70, w1 = 4697.267, w2 = 4598.229, dw = -0.06002, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 71, w1 = 4659.086, w2 = 4560.855, dw = -0.05953, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 72, w1 = 4621.521, w2 = 4524.084, dw = -0.05905, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 73, w1 = 4584.557, w2 = 4487.901, dw = -0.05858, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 74, w1 = 4548.18, w2 = 4452.293, dw = -0.05811, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 75, w1 = 4512.376, w2 = 4417.246, dw = -0.05765, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 76, w1 = 4477.131, w2 = 4382.746, dw = -0.0572, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 77, w1 = 4442.433, w2 = 4348.781, dw = -0.05676, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 78, w1 = 4408.269, w2 = 4315.339, dw = -0.05632, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 79, w1 = 4374.627, w2 = 4282.407, dw = -0.05589, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 80, w1 = 4341.495, w2 = 4249.975, dw = -0.05547, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 81, w1 = 4308.861, w2 = 4218.03, dw = -0.05505, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 82, w1 = 4276.714, w2 = 4186.563, dw = -0.05464, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 83, w1 = 4245.044, w2 = 4155.561, dw = -0.05423, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 84, w1 = 4213.839, w2 = 4125.015, dw = -0.05383, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 85, w1 = 4183.091, w2 = 4094.916, dw = -0.05344, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 86, w1 = 4152.788, w2 = 4065.252, dw = -0.05305, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 87, w1 = 4122.921, w2 = 4036.016, dw = -0.05267, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 88, w1 = 4093.481, w2 = 4007.197, dw = -0.05229, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 89, w1 = 4064.459, w2 = 3978.787, dw = -0.05192, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 90, w1 = 4035.845, w2 = 3950.777, dw = -0.05156, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 91, w1 = 4007.633, w2 = 3923.159, dw = -0.0512, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 92, w1 = 3979.812, w2 = 3895.925, dw = -0.05084, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 93, w1 = 3952.375, w2 = 3869.066, dw = -0.05049, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 94, w1 = 3925.314, w2 = 3842.575, dw = -0.05014, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 95, w1 = 3898.621, w2 = 3816.445, dw = -0.0498, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 96, w1 = 3872.29, w2 = 3790.668, dw = -0.04947, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 97, w1 = 3846.311, w2 = 3765.236, dw = -0.04914, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 98, w1 = 3820.68, w2 = 3740.144, dw = -0.04881, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 99, w1 = 3795.388, w2 = 3715.384, dw = -0.04849, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 100, w1 = 3770.429, w2 = 3690.95, dw = -0.04817, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 101, w1 = 3745.797, w2 = 3666.836, dw = -0.04786, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 102, w1 = 3721.485, w2 = 3643.034, dw = -0.04755, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.54, dw = -0.04724, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 104, w1 = 3673.796, w2 = 3596.346, dw = -0.04694, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 105, w1 = 3650.407, w2 = 3573.448, dw = -0.04664, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 106, w1 = 3627.315, w2 = 3550.84, dw = -0.04635, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 107, w1 = 3604.514, w2 = 3528.516, dw = -0.04606, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 108, w1 = 3581.997, w2 = 3506.472, dw = -0.04577, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 109, w1 = 3559.761, w2 = 3484.701, dw = -0.04549, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 110, w1 = 3537.799, w2 = 3463.198, dw = -0.04521, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 111, w1 = 3516.107, w2 = 3441.96, dw = -0.04494, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 112, w1 = 3494.68, w2 = 3420.98, dw = -0.04467, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 113, w1 = 3473.513, w2 = 3400.255, dw = -0.0444, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 114, w1 = 3452.601, w2 = 3379.779, dw = -0.04413, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 115, w1 = 3431.939, w2 = 3359.548, dw = -0.04387, nw = 1651 EchelleThAr.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 1.' zEchelleThAr.0032.ec.fits: ap = 1, w1 = 10811.55, w2 = 10583.36, dw = -0.13829, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 2, w1 = 10611.35, w2 = 10387.39, dw = -0.13573, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.55, dw = -0.13326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.45, dw = -0.13088, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.737, dw = -0.12858, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 6, w1 = 9879.583, w2 = 9671.085, dw = -0.12636, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 7, w1 = 9712.144, w2 = 9507.183, dw = -0.12422, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 8, w1 = 9550.287, w2 = 9348.745, dw = -0.12215, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 9, w1 = 9393.737, w2 = 9195.502, dw = -0.12014, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 10, w1 = 9242.237, w2 = 9047.201, dw = -0.1182, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 11, w1 = 9095.546, w2 = 8903.609, dw = -0.11633, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 12, w1 = 8953.44, w2 = 8764.504, dw = -0.11451, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 13, w1 = 8815.706, w2 = 8629.679, dw = -0.11274, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 14, w1 = 8682.145, w2 = 8498.939, dw = -0.11103, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 15, w1 = 8552.572, w2 = 8372.102, dw = -0.10938, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 16, w1 = 8426.809, w2 = 8248.996, dw = -0.10777, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 17, w1 = 8304.692, w2 = 8129.458, dw = -0.1062, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 18, w1 = 8186.064, w2 = 8013.335, dw = -0.10468, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 19, w1 = 8070.778, w2 = 7900.483, dw = -0.10321, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 20, w1 = 7958.694, w2 = 7790.766, dw = -0.10177, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 21, w1 = 7849.681, w2 = 7684.055, dw = -0.10038, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.228, dw = -0.09902, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 23, w1 = 7640.375, w2 = 7479.17, dw = -0.0977, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 24, w1 = 7539.854, w2 = 7380.771, dw = -0.09641, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 25, w1 = 7441.943, w2 = 7284.928, dw = -0.09516, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 26, w1 = 7346.543, w2 = 7191.543, dw = -0.09394, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 27, w1 = 7253.558, w2 = 7100.522, dw = -0.09275, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 28, w1 = 7162.898, w2 = 7011.776, dw = -0.09159, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 29, w1 = 7074.476, w2 = 6925.222, dw = -0.09046, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 30, w1 = 6988.212, w2 = 6840.779, dw = -0.08935, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 31, w1 = 6904.025, w2 = 6758.37, dw = -0.08828, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 32, w1 = 6821.844, w2 = 6677.924, dw = -0.08722, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 33, w1 = 6741.596, w2 = 6599.371, dw = -0.0862, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 34, w1 = 6663.214, w2 = 6522.644, dw = -0.08519, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 35, w1 = 6586.634, w2 = 6447.682, dw = -0.08421, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 36, w1 = 6511.795, w2 = 6374.423, dw = -0.08326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 37, w1 = 6438.637, w2 = 6302.81, dw = -0.08232, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 38, w1 = 6367.106, w2 = 6232.789, dw = -0.0814, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 39, w1 = 6297.146, w2 = 6164.307, dw = -0.08051, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 40, w1 = 6228.707, w2 = 6097.314, dw = -0.07963, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 41, w1 = 6161.741, w2 = 6031.761, dw = -0.07878, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 42, w1 = 6096.199, w2 = 5967.604, dw = -0.07794, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 43, w1 = 6032.037, w2 = 5904.797, dw = -0.07712, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 44, w1 = 5969.212, w2 = 5843.298, dw = -0.07631, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 45, w1 = 5907.682, w2 = 5783.068, dw = -0.07552, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 46, w1 = 5847.408, w2 = 5724.067, dw = -0.07475, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 47, w1 = 5788.351, w2 = 5666.258, dw = -0.074, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 48, w1 = 5730.476, w2 = 5609.605, dw = -0.07326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 49, w1 = 5673.747, w2 = 5554.074, dw = -0.07253, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 50, w1 = 5618.13, w2 = 5499.632, dw = -0.07182, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 51, w1 = 5563.594, w2 = 5446.248, dw = -0.07112, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 52, w1 = 5510.106, w2 = 5393.889, dw = -0.07043, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 53, w1 = 5457.637, w2 = 5342.529, dw = -0.06976, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 54, w1 = 5406.158, w2 = 5292.137, dw = -0.0691, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 55, w1 = 5355.641, w2 = 5242.688, dw = -0.06846, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 56, w1 = 5306.06, w2 = 5194.154, dw = -0.06782, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 57, w1 = 5257.389, w2 = 5146.511, dw = -0.0672, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 58, w1 = 5209.602, w2 = 5099.734, dw = -0.06659, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 59, w1 = 5162.677, w2 = 5053.8, dw = -0.06599, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 60, w1 = 5116.59, w2 = 5008.686, dw = -0.0654, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 61, w1 = 5071.318, w2 = 4964.371, dw = -0.06482, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 62, w1 = 5026.841, w2 = 4920.834, dw = -0.06425, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 63, w1 = 4983.137, w2 = 4878.053, dw = -0.06369, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 64, w1 = 4940.187, w2 = 4836.011, dw = -0.06314, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 65, w1 = 4897.972, w2 = 4794.687, dw = -0.0626, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 66, w1 = 4856.471, w2 = 4754.063, dw = -0.06207, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 67, w1 = 4815.668, w2 = 4714.123, dw = -0.06154, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 68, w1 = 4775.546, w2 = 4674.848, dw = -0.06103, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 69, w1 = 4736.086, w2 = 4636.222, dw = -0.06052, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 70, w1 = 4697.274, w2 = 4598.23, dw = -0.06003, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 71, w1 = 4659.093, w2 = 4560.855, dw = -0.05954, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 72, w1 = 4621.527, w2 = 4524.083, dw = -0.05906, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 73, w1 = 4584.563, w2 = 4487.9, dw = -0.05858, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 74, w1 = 4548.185, w2 = 4452.291, dw = -0.05812, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 75, w1 = 4512.38, w2 = 4417.243, dw = -0.05766, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 76, w1 = 4477.135, w2 = 4382.743, dw = -0.05721, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 77, w1 = 4442.436, w2 = 4348.778, dw = -0.05676, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 78, w1 = 4408.272, w2 = 4315.335, dw = -0.05633, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 79, w1 = 4374.628, w2 = 4282.403, dw = -0.05589, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 80, w1 = 4341.495, w2 = 4249.969, dw = -0.05547, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 81, w1 = 4308.86, w2 = 4218.024, dw = -0.05505, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 82, w1 = 4276.712, w2 = 4186.556, dw = -0.05464, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 83, w1 = 4245.04, w2 = 4155.553, dw = -0.05423, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 84, w1 = 4213.834, w2 = 4125.007, dw = -0.05383, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 85, w1 = 4183.084, w2 = 4094.907, dw = -0.05344, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 86, w1 = 4152.779, w2 = 4065.243, dw = -0.05305, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 87, w1 = 4122.91, w2 = 4036.005, dw = -0.05267, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 88, w1 = 4093.469, w2 = 4007.186, dw = -0.05229, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 89, w1 = 4064.444, w2 = 3978.775, dw = -0.05192, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 90, w1 = 4035.829, w2 = 3950.765, dw = -0.05155, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.146, dw = -0.05119, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 92, w1 = 3979.79, w2 = 3895.911, dw = -0.05084, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 93, w1 = 3952.351, w2 = 3869.052, dw = -0.05048, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 94, w1 = 3925.287, w2 = 3842.56, dw = -0.05014, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 95, w1 = 3898.592, w2 = 3816.429, dw = -0.0498, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 96, w1 = 3872.257, w2 = 3790.651, dw = -0.04946, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 97, w1 = 3846.276, w2 = 3765.22, dw = -0.04913, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 98, w1 = 3820.642, w2 = 3740.127, dw = -0.0488, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 99, w1 = 3795.347, w2 = 3715.367, dw = -0.04847, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 100, w1 = 3770.384, w2 = 3690.932, dw = -0.04815, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 101, w1 = 3745.748, w2 = 3666.817, dw = -0.04784, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 102, w1 = 3721.432, w2 = 3643.015, dw = -0.04753, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 103, w1 = 3697.43, w2 = 3619.52, dw = -0.04722, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 104, w1 = 3673.736, w2 = 3596.327, dw = -0.04691, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 105, w1 = 3650.343, w2 = 3573.429, dw = -0.04661, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 106, w1 = 3627.246, w2 = 3550.821, dw = -0.04632, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 107, w1 = 3604.44, w2 = 3528.497, dw = -0.04603, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 108, w1 = 3581.919, w2 = 3506.452, dw = -0.04574, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 109, w1 = 3559.678, w2 = 3484.681, dw = -0.04545, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 110, w1 = 3537.712, w2 = 3463.179, dw = -0.04517, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 111, w1 = 3516.015, w2 = 3441.94, dw = -0.04489, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 112, w1 = 3494.582, w2 = 3420.961, dw = -0.04462, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 113, w1 = 3473.409, w2 = 3400.236, dw = -0.04435, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 114, w1 = 3452.492, w2 = 3379.761, dw = -0.04408, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 115, w1 = 3431.825, w2 = 3359.53, dw = -0.04381, nw = 1651 EchelleThAr.0036.ec.fits: REFSPEC1 = 'EchelleThAr.0036.ec 1.' zEchelleThAr.0036.ec.fits: ap = 1, w1 = 10811.56, w2 = 10583.39, dw = -0.13829, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 2, w1 = 10611.36, w2 = 10387.41, dw = -0.13572, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 3, w1 = 10418.44, w2 = 10198.57, dw = -0.13325, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.46, dw = -0.13087, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.75, dw = -0.12858, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 6, w1 = 9879.585, w2 = 9671.096, dw = -0.12636, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 7, w1 = 9712.146, w2 = 9507.193, dw = -0.12421, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 8, w1 = 9550.289, w2 = 9348.753, dw = -0.12214, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 9, w1 = 9393.738, w2 = 9195.509, dw = -0.12014, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 10, w1 = 9242.237, w2 = 9047.207, dw = -0.1182, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 11, w1 = 9095.546, w2 = 8903.614, dw = -0.11632, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 12, w1 = 8953.439, w2 = 8764.508, dw = -0.1145, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 13, w1 = 8815.705, w2 = 8629.682, dw = -0.11274, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 14, w1 = 8682.145, w2 = 8498.941, dw = -0.11103, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 15, w1 = 8552.571, w2 = 8372.104, dw = -0.10937, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 16, w1 = 8426.809, w2 = 8248.997, dw = -0.10777, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 17, w1 = 8304.692, w2 = 8129.458, dw = -0.1062, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 18, w1 = 8186.064, w2 = 8013.334, dw = -0.10468, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 19, w1 = 8070.778, w2 = 7900.482, dw = -0.10321, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 20, w1 = 7958.694, w2 = 7790.765, dw = -0.10178, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 21, w1 = 7849.681, w2 = 7684.053, dw = -0.10038, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 22, w1 = 7743.614, w2 = 7580.226, dw = -0.09902, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 23, w1 = 7640.376, w2 = 7479.168, dw = -0.0977, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 24, w1 = 7539.855, w2 = 7380.769, dw = -0.09642, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 25, w1 = 7441.944, w2 = 7284.926, dw = -0.09516, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 26, w1 = 7346.545, w2 = 7191.54, dw = -0.09394, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 27, w1 = 7253.56, w2 = 7100.519, dw = -0.09275, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 28, w1 = 7162.9, w2 = 7011.773, dw = -0.09159, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 29, w1 = 7074.479, w2 = 6925.219, dw = -0.09046, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 30, w1 = 6988.214, w2 = 6840.775, dw = -0.08936, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 31, w1 = 6904.028, w2 = 6758.367, dw = -0.08828, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 32, w1 = 6821.847, w2 = 6677.921, dw = -0.08723, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 33, w1 = 6741.599, w2 = 6599.367, dw = -0.0862, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 34, w1 = 6663.217, w2 = 6522.641, dw = -0.0852, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 35, w1 = 6586.638, w2 = 6447.678, dw = -0.08422, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 36, w1 = 6511.798, w2 = 6374.419, dw = -0.08326, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 37, w1 = 6438.641, w2 = 6302.807, dw = -0.08232, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 38, w1 = 6367.109, w2 = 6232.786, dw = -0.08141, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 39, w1 = 6297.15, w2 = 6164.304, dw = -0.08051, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 40, w1 = 6228.711, w2 = 6097.311, dw = -0.07964, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 41, w1 = 6161.745, w2 = 6031.759, dw = -0.07878, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 42, w1 = 6096.203, w2 = 5967.601, dw = -0.07794, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 43, w1 = 6032.041, w2 = 5904.794, dw = -0.07712, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 44, w1 = 5969.216, w2 = 5843.296, dw = -0.07631, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 45, w1 = 5907.686, w2 = 5783.066, dw = -0.07553, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 46, w1 = 5847.412, w2 = 5724.065, dw = -0.07476, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 47, w1 = 5788.355, w2 = 5666.256, dw = -0.074, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 48, w1 = 5730.48, w2 = 5609.604, dw = -0.07326, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 49, w1 = 5673.751, w2 = 5554.073, dw = -0.07253, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 50, w1 = 5618.134, w2 = 5499.631, dw = -0.07182, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 51, w1 = 5563.597, w2 = 5446.247, dw = -0.07112, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 52, w1 = 5510.109, w2 = 5393.889, dw = -0.07044, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 53, w1 = 5457.64, w2 = 5342.528, dw = -0.06976, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 54, w1 = 5406.161, w2 = 5292.137, dw = -0.06911, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 55, w1 = 5355.645, w2 = 5242.688, dw = -0.06846, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 56, w1 = 5306.063, w2 = 5194.154, dw = -0.06782, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 57, w1 = 5257.392, w2 = 5146.511, dw = -0.0672, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 58, w1 = 5209.606, w2 = 5099.735, dw = -0.06659, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 59, w1 = 5162.68, w2 = 5053.801, dw = -0.06599, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 60, w1 = 5116.593, w2 = 5008.688, dw = -0.0654, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 61, w1 = 5071.321, w2 = 4964.373, dw = -0.06482, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 62, w1 = 5026.844, w2 = 4920.836, dw = -0.06425, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 63, w1 = 4983.141, w2 = 4878.056, dw = -0.06369, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 64, w1 = 4940.191, w2 = 4836.013, dw = -0.06314, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 65, w1 = 4897.975, w2 = 4794.69, dw = -0.0626, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 66, w1 = 4856.475, w2 = 4754.066, dw = -0.06207, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 67, w1 = 4815.672, w2 = 4714.126, dw = -0.06154, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 68, w1 = 4775.549, w2 = 4674.852, dw = -0.06103, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 69, w1 = 4736.09, w2 = 4636.226, dw = -0.06052, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 70, w1 = 4697.278, w2 = 4598.234, dw = -0.06003, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 71, w1 = 4659.097, w2 = 4560.86, dw = -0.05954, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 72, w1 = 4621.532, w2 = 4524.089, dw = -0.05906, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 73, w1 = 4584.568, w2 = 4487.906, dw = -0.05858, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 74, w1 = 4548.191, w2 = 4452.297, dw = -0.05812, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 75, w1 = 4512.387, w2 = 4417.249, dw = -0.05766, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 76, w1 = 4477.142, w2 = 4382.749, dw = -0.05721, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 77, w1 = 4442.444, w2 = 4348.784, dw = -0.05676, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 78, w1 = 4408.28, w2 = 4315.342, dw = -0.05633, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 79, w1 = 4374.637, w2 = 4282.41, dw = -0.0559, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 80, w1 = 4341.505, w2 = 4249.977, dw = -0.05547, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 81, w1 = 4308.87, w2 = 4218.032, dw = -0.05505, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 82, w1 = 4276.723, w2 = 4186.564, dw = -0.05464, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 83, w1 = 4245.053, w2 = 4155.562, dw = -0.05424, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 84, w1 = 4213.848, w2 = 4125.016, dw = -0.05384, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 85, w1 = 4183.099, w2 = 4094.916, dw = -0.05344, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 86, w1 = 4152.796, w2 = 4065.253, dw = -0.05306, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 87, w1 = 4122.929, w2 = 4036.016, dw = -0.05267, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 88, w1 = 4093.488, w2 = 4007.197, dw = -0.0523, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 89, w1 = 4064.466, w2 = 3978.787, dw = -0.05193, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 90, w1 = 4035.852, w2 = 3950.777, dw = -0.05156, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 91, w1 = 4007.639, w2 = 3923.158, dw = -0.0512, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 92, w1 = 3979.818, w2 = 3895.924, dw = -0.05084, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 93, w1 = 3952.38, w2 = 3869.065, dw = -0.05049, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 94, w1 = 3925.319, w2 = 3842.574, dw = -0.05015, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 95, w1 = 3898.626, w2 = 3816.443, dw = -0.04981, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 96, w1 = 3872.294, w2 = 3790.666, dw = -0.04947, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 97, w1 = 3846.315, w2 = 3765.235, dw = -0.04914, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 98, w1 = 3820.684, w2 = 3740.143, dw = -0.04881, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 99, w1 = 3795.391, w2 = 3715.383, dw = -0.04849, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 100, w1 = 3770.432, w2 = 3690.949, dw = -0.04817, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 101, w1 = 3745.799, w2 = 3666.834, dw = -0.04786, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 102, w1 = 3721.487, w2 = 3643.033, dw = -0.04755, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 103, w1 = 3697.488, w2 = 3619.539, dw = -0.04724, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.346, dw = -0.04694, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 105, w1 = 3650.408, w2 = 3573.448, dw = -0.04664, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 106, w1 = 3627.316, w2 = 3550.841, dw = -0.04635, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 107, w1 = 3604.514, w2 = 3528.517, dw = -0.04606, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 108, w1 = 3581.997, w2 = 3506.473, dw = -0.04577, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 109, w1 = 3559.761, w2 = 3484.703, dw = -0.04549, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 110, w1 = 3537.799, w2 = 3463.201, dw = -0.04521, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 111, w1 = 3516.107, w2 = 3441.964, dw = -0.04494, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 112, w1 = 3494.679, w2 = 3420.985, dw = -0.04466, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 113, w1 = 3473.512, w2 = 3400.26, dw = -0.04439, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 114, w1 = 3452.6, w2 = 3379.786, dw = -0.04413, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 115, w1 = 3431.938, w2 = 3359.556, dw = -0.04387, nw = 1651 EchelleThAr.0039.ec.fits: REFSPEC1 = 'EchelleThAr.0039.ec 1.' zEchelleThAr.0039.ec.fits: ap = 1, w1 = 10811.55, w2 = 10583.35, dw = -0.1383, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 2, w1 = 10611.35, w2 = 10387.38, dw = -0.13574, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 3, w1 = 10418.43, w2 = 10198.53, dw = -0.13327, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 4, w1 = 10232.4, w2 = 10016.43, dw = -0.13089, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 5, w1 = 10052.9, w2 = 9840.724, dw = -0.12859, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 6, w1 = 9879.585, w2 = 9671.072, dw = -0.12637, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 7, w1 = 9712.147, w2 = 9507.172, dw = -0.12423, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 8, w1 = 9550.29, w2 = 9348.734, dw = -0.12215, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 9, w1 = 9393.739, w2 = 9195.491, dw = -0.12015, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 10, w1 = 9242.239, w2 = 9047.191, dw = -0.11821, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 11, w1 = 9095.548, w2 = 8903.599, dw = -0.11633, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 12, w1 = 8953.441, w2 = 8764.494, dw = -0.11451, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 13, w1 = 8815.707, w2 = 8629.67, dw = -0.11275, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 14, w1 = 8682.146, w2 = 8498.93, dw = -0.11104, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 15, w1 = 8552.572, w2 = 8372.094, dw = -0.10938, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 16, w1 = 8426.809, w2 = 8248.987, dw = -0.10777, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 17, w1 = 8304.691, w2 = 8129.449, dw = -0.10621, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 18, w1 = 8186.063, w2 = 8013.326, dw = -0.10469, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 19, w1 = 8070.776, w2 = 7900.475, dw = -0.10321, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 20, w1 = 7958.691, w2 = 7790.758, dw = -0.10178, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 21, w1 = 7849.677, w2 = 7684.047, dw = -0.10038, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 22, w1 = 7743.61, w2 = 7580.22, dw = -0.09902, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 23, w1 = 7640.371, w2 = 7479.161, dw = -0.0977, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 24, w1 = 7539.849, w2 = 7380.763, dw = -0.09642, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 25, w1 = 7441.938, w2 = 7284.92, dw = -0.09516, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 26, w1 = 7346.537, w2 = 7191.534, dw = -0.09394, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 27, w1 = 7253.552, w2 = 7100.513, dw = -0.09275, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 28, w1 = 7162.891, w2 = 7011.767, dw = -0.09159, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 29, w1 = 7074.469, w2 = 6925.213, dw = -0.09046, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 30, w1 = 6988.204, w2 = 6840.769, dw = -0.08935, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 31, w1 = 6904.017, w2 = 6758.361, dw = -0.08828, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 32, w1 = 6821.835, w2 = 6677.915, dw = -0.08722, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 33, w1 = 6741.587, w2 = 6599.361, dw = -0.0862, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 34, w1 = 6663.205, w2 = 6522.635, dw = -0.08519, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 35, w1 = 6586.625, w2 = 6447.672, dw = -0.08421, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 36, w1 = 6511.785, w2 = 6374.413, dw = -0.08326, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 37, w1 = 6438.628, w2 = 6302.801, dw = -0.08232, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 38, w1 = 6367.096, w2 = 6232.78, dw = -0.0814, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 39, w1 = 6297.136, w2 = 6164.298, dw = -0.08051, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 40, w1 = 6228.698, w2 = 6097.305, dw = -0.07963, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 41, w1 = 6161.731, w2 = 6031.752, dw = -0.07877, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 42, w1 = 6096.189, w2 = 5967.595, dw = -0.07794, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 43, w1 = 6032.027, w2 = 5904.788, dw = -0.07711, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 44, w1 = 5969.202, w2 = 5843.29, dw = -0.07631, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 45, w1 = 5907.672, w2 = 5783.059, dw = -0.07552, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 46, w1 = 5847.398, w2 = 5724.058, dw = -0.07475, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 47, w1 = 5788.342, w2 = 5666.25, dw = -0.074, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 48, w1 = 5730.467, w2 = 5609.597, dw = -0.07325, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 49, w1 = 5673.738, w2 = 5554.066, dw = -0.07253, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 50, w1 = 5618.121, w2 = 5499.624, dw = -0.07182, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 51, w1 = 5563.585, w2 = 5446.24, dw = -0.07112, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 52, w1 = 5510.097, w2 = 5393.882, dw = -0.07043, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 53, w1 = 5457.628, w2 = 5342.521, dw = -0.06976, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 54, w1 = 5406.15, w2 = 5292.13, dw = -0.0691, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 55, w1 = 5355.633, w2 = 5242.681, dw = -0.06846, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 56, w1 = 5306.052, w2 = 5194.147, dw = -0.06782, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 57, w1 = 5257.381, w2 = 5146.504, dw = -0.0672, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 58, w1 = 5209.595, w2 = 5099.728, dw = -0.06659, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 59, w1 = 5162.67, w2 = 5053.794, dw = -0.06599, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 60, w1 = 5116.583, w2 = 5008.68, dw = -0.0654, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 61, w1 = 5071.312, w2 = 4964.366, dw = -0.06482, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 62, w1 = 5026.834, w2 = 4920.828, dw = -0.06425, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 63, w1 = 4983.131, w2 = 4878.048, dw = -0.06369, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 64, w1 = 4940.181, w2 = 4836.006, dw = -0.06314, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 65, w1 = 4897.965, w2 = 4794.682, dw = -0.0626, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 66, w1 = 4856.465, w2 = 4754.059, dw = -0.06206, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 67, w1 = 4815.662, w2 = 4714.118, dw = -0.06154, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 68, w1 = 4775.54, w2 = 4674.844, dw = -0.06103, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 69, w1 = 4736.08, w2 = 4636.218, dw = -0.06052, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 70, w1 = 4697.268, w2 = 4598.226, dw = -0.06003, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 71, w1 = 4659.086, w2 = 4560.851, dw = -0.05954, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 72, w1 = 4621.52, w2 = 4524.08, dw = -0.05905, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 73, w1 = 4584.556, w2 = 4487.897, dw = -0.05858, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 74, w1 = 4548.178, w2 = 4452.288, dw = -0.05812, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 75, w1 = 4512.373, w2 = 4417.24, dw = -0.05766, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 76, w1 = 4477.127, w2 = 4382.74, dw = -0.0572, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 77, w1 = 4442.428, w2 = 4348.774, dw = -0.05676, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 78, w1 = 4408.263, w2 = 4315.331, dw = -0.05632, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 79, w1 = 4374.619, w2 = 4282.399, dw = -0.05589, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 80, w1 = 4341.485, w2 = 4249.966, dw = -0.05547, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 81, w1 = 4308.849, w2 = 4218.02, dw = -0.05505, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 82, w1 = 4276.7, w2 = 4186.552, dw = -0.05464, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 83, w1 = 4245.027, w2 = 4155.549, dw = -0.05423, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 84, w1 = 4213.82, w2 = 4125.003, dw = -0.05383, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 85, w1 = 4183.069, w2 = 4094.902, dw = -0.05343, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.238, dw = -0.05305, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 87, w1 = 4122.893, w2 = 4036., dw = -0.05266, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 88, w1 = 4093.449, w2 = 4007.18, dw = -0.05228, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 89, w1 = 4064.424, w2 = 3978.769, dw = -0.05191, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 90, w1 = 4035.807, w2 = 3950.758, dw = -0.05154, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 91, w1 = 4007.59, w2 = 3923.139, dw = -0.05118, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 92, w1 = 3979.764, w2 = 3895.903, dw = -0.05083, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 93, w1 = 3952.323, w2 = 3869.043, dw = -0.05047, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 94, w1 = 3925.257, w2 = 3842.551, dw = -0.05013, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 95, w1 = 3898.56, w2 = 3816.419, dw = -0.04978, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 96, w1 = 3872.223, w2 = 3790.64, dw = -0.04944, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 97, w1 = 3846.239, w2 = 3765.207, dw = -0.04911, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 98, w1 = 3820.601, w2 = 3740.114, dw = -0.04878, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 99, w1 = 3795.303, w2 = 3715.352, dw = -0.04846, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 100, w1 = 3770.338, w2 = 3690.917, dw = -0.04813, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 101, w1 = 3745.699, w2 = 3666.8, dw = -0.04782, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 102, w1 = 3721.38, w2 = 3642.997, dw = -0.0475, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 103, w1 = 3697.374, w2 = 3619.501, dw = -0.0472, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 104, w1 = 3673.676, w2 = 3596.306, dw = -0.04689, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 105, w1 = 3650.279, w2 = 3573.406, dw = -0.04659, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 106, w1 = 3627.178, w2 = 3550.796, dw = -0.04629, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 107, w1 = 3604.368, w2 = 3528.471, dw = -0.046, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 108, w1 = 3581.843, w2 = 3506.424, dw = -0.04571, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 109, w1 = 3559.597, w2 = 3484.651, dw = -0.04542, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 110, w1 = 3537.626, w2 = 3463.147, dw = -0.04514, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 111, w1 = 3515.923, w2 = 3441.906, dw = -0.04486, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 112, w1 = 3494.486, w2 = 3420.925, dw = -0.04458, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 113, w1 = 3473.308, w2 = 3400.197, dw = -0.04431, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 114, w1 = 3452.384, w2 = 3379.719, dw = -0.04404, nw = 1651 zEchelleThAr.0039.ec.fits: ap = 115, w1 = 3431.711, w2 = 3359.487, dw = -0.04377, 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... Oct 14 14:44: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 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1.000 0. 0.009 141014.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 141014.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 141014.0021.ec.fits[100] 900.0 1.000 0. 0.009 141014.0021.ec.fits[101] 900.0 1.000 0. 0.009 141014.0021.ec.fits[102] 900.0 1.000 0. 0.009 141014.0021.ec.fits[103] 900.0 1.000 0. 0.009 141014.0021.ec.fits[104] 900.0 1.000 0. 0.009 141014.0021.ec.fits[105] 900.0 1.000 0. 0.009 141014.0021.ec.fits[106] 900.0 1.000 0. 0.009 141014.0021.ec.fits[107] 900.0 1.000 0. 0.009 141014.0021.ec.fits[108] 900.0 1.000 0. 0.009 141014.0021.ec.fits[109] 900.0 1.000 0. 0.009 141014.0021.ec.fits[110] 900.0 1.000 0. 0.009 141014.0021.ec.fits[111] 900.0 1.000 0. 0.009 141014.0021.ec.fits[112] 900.0 1.000 0. 0.009 141014.0021.ec.fits[113] 900.0 1.000 0. 0.009 141014.0021.ec.fits[114] 900.0 1.000 0. 0.009 141014.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141014.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.462, w2 = 10811.55, dw = 0.04371442, nw = 170473., dtype = 0 Oct 14 14:45: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[100] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[101] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[102] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[103] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[104] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[105] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[106] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[107] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[108] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[109] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[110] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[111] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[112] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[113] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[114] 1500.0 1.000 0. 0.009 141014.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141014.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.471, w2 = 10811.56, dw = 0.04373473, nw = 170394., dtype = 0 Oct 14 14:45: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 141014.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 141014.0023.ec.fits[100] 900.0 1.000 0. 0.009 141014.0023.ec.fits[101] 900.0 1.000 0. 0.009 141014.0023.ec.fits[102] 900.0 1.000 0. 0.009 141014.0023.ec.fits[103] 900.0 1.000 0. 0.009 141014.0023.ec.fits[104] 900.0 1.000 0. 0.009 141014.0023.ec.fits[105] 900.0 1.000 0. 0.009 141014.0023.ec.fits[106] 900.0 1.000 0. 0.009 141014.0023.ec.fits[107] 900.0 1.000 0. 0.009 141014.0023.ec.fits[108] 900.0 1.000 0. 0.009 141014.0023.ec.fits[109] 900.0 1.000 0. 0.009 141014.0023.ec.fits[110] 900.0 1.000 0. 0.009 141014.0023.ec.fits[111] 900.0 1.000 0. 0.009 141014.0023.ec.fits[112] 900.0 1.000 0. 0.009 141014.0023.ec.fits[113] 900.0 1.000 0. 0.009 141014.0023.ec.fits[114] 900.0 1.000 0. 0.009 141014.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141014.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.481, w2 = 10811.58, dw = 0.04375504, nw = 170315., dtype = 0 Oct 14 14:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 56] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 57] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 58] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 59] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 60] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 61] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 62] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 63] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 64] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 65] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 66] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 67] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 68] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 69] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 70] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 71] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 72] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 73] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 74] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[100] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[101] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[102] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[103] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[104] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[105] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[106] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[107] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[108] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[109] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[110] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[111] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[112] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[113] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[114] 1500.0 1.000 0. 0.009 141014.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141014.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.501, w2 = 10811.57, dw = 0.04379373, nw = 170164., dtype = 0 Oct 14 14:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0026.ec.fits[ 1] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 2] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 3] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 4] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 5] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 6] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 7] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 8] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 9] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 10] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 11] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 12] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 13] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 14] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 15] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 16] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 17] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 18] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 19] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 20] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 21] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 22] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 23] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 24] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 25] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 26] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 27] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 28] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 29] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 30] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 31] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 32] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 33] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 34] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 35] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 36] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 37] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 38] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 39] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 40] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 41] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 42] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 43] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 44] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 45] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 46] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 47] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 48] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 49] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 50] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 51] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 52] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 53] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 54] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 55] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 56] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 57] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 58] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 59] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 60] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 61] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 62] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 63] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 64] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 65] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 66] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 67] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 68] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 69] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 70] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 71] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 72] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 73] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 74] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 75] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 76] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 77] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 78] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 79] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 80] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 81] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 82] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 83] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 84] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 85] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 86] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 87] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 88] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 89] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 90] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 91] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 92] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 93] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 94] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 95] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 96] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 97] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 98] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[ 99] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[100] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[101] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[102] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[103] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[104] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[105] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[106] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[107] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[108] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[109] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[110] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[111] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[112] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[113] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[114] 1500.0 1.000 0. 0.009 141014.0026.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141014.0026.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.526, w2 = 10811.55, dw = 0.04383595, nw = 169999., dtype = 0 Oct 14 14:47: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 141014.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 141014.0027.ec.fits[100] 600.0 1.000 0. 0.009 141014.0027.ec.fits[101] 600.0 1.000 0. 0.009 141014.0027.ec.fits[102] 600.0 1.000 0. 0.009 141014.0027.ec.fits[103] 600.0 1.000 0. 0.009 141014.0027.ec.fits[104] 600.0 1.000 0. 0.009 141014.0027.ec.fits[105] 600.0 1.000 0. 0.009 141014.0027.ec.fits[106] 600.0 1.000 0. 0.009 141014.0027.ec.fits[107] 600.0 1.000 0. 0.009 141014.0027.ec.fits[108] 600.0 1.000 0. 0.009 141014.0027.ec.fits[109] 600.0 1.000 0. 0.009 141014.0027.ec.fits[110] 600.0 1.000 0. 0.009 141014.0027.ec.fits[111] 600.0 1.000 0. 0.009 141014.0027.ec.fits[112] 600.0 1.000 0. 0.009 141014.0027.ec.fits[113] 600.0 1.000 0. 0.009 141014.0027.ec.fits[114] 600.0 1.000 0. 0.009 141014.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum141014.0027.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.542, w2 = 10811.53, dw = 0.04386337, nw = 169892., dtype = 0 Oct 14 14:48: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0029.ec.fits[ 1] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 2] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 3] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 4] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 5] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 6] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 7] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 8] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 9] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 10] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 11] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 12] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 13] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 14] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 15] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 16] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 17] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 18] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 19] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 20] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 21] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 22] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 23] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 24] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 25] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 26] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 27] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 28] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 29] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 30] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 31] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 32] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 33] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 34] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 35] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 36] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 37] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 38] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 39] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 40] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 41] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 42] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 43] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 44] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 45] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 46] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 47] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 48] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 49] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 50] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 51] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 52] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 53] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 54] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 55] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 56] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 57] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 58] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 59] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 60] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 61] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 62] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 63] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 64] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 65] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 66] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 67] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 68] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 69] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 70] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 71] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 72] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 73] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 74] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 75] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 76] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 77] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 78] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 79] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 80] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 81] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 82] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 83] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 84] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 85] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 86] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 87] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 88] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 89] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 90] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 91] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 92] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 93] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 94] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 95] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 96] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 97] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 98] 720.0 1.000 0. 0.009 141014.0029.ec.fits[ 99] 720.0 1.000 0. 0.009 141014.0029.ec.fits[100] 720.0 1.000 0. 0.009 141014.0029.ec.fits[101] 720.0 1.000 0. 0.009 141014.0029.ec.fits[102] 720.0 1.000 0. 0.009 141014.0029.ec.fits[103] 720.0 1.000 0. 0.009 141014.0029.ec.fits[104] 720.0 1.000 0. 0.009 141014.0029.ec.fits[105] 720.0 1.000 0. 0.009 141014.0029.ec.fits[106] 720.0 1.000 0. 0.009 141014.0029.ec.fits[107] 720.0 1.000 0. 0.009 141014.0029.ec.fits[108] 720.0 1.000 0. 0.009 141014.0029.ec.fits[109] 720.0 1.000 0. 0.009 141014.0029.ec.fits[110] 720.0 1.000 0. 0.009 141014.0029.ec.fits[111] 720.0 1.000 0. 0.009 141014.0029.ec.fits[112] 720.0 1.000 0. 0.009 141014.0029.ec.fits[113] 720.0 1.000 0. 0.009 141014.0029.ec.fits[114] 720.0 1.000 0. 0.009 141014.0029.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum141014.0029.ec.fits, ncombine = 115, exptime = 82800. w1 = 3359.546, w2 = 10811.53, dw = 0.04386643, nw = 169880., dtype = 0 Oct 14 14:48: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[100] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[101] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[102] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[103] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[104] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[105] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[106] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[107] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[108] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[109] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[110] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[111] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[112] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[113] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[114] 1500.0 1.000 0. 0.009 141014.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141014.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.54, w2 = 10811.54, dw = 0.04384714, nw = 169955., dtype = 0 Oct 14 14:49: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0031.ec.fits[ 1] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 2] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 3] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 4] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 5] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 6] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 7] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 8] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 9] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 10] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 11] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 12] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 13] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 14] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 15] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 16] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 17] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 18] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 19] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 20] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 21] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 22] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 23] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 24] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 25] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 26] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 27] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 28] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 29] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 30] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 31] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 32] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 33] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 34] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 35] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 36] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 37] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 38] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 39] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 40] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 41] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 42] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 43] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 44] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 45] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 46] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 47] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 48] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 49] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 50] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 51] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 52] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 53] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 54] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 55] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 56] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 57] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 58] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 59] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 60] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 61] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 62] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 63] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 64] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 65] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 66] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 67] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 68] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 69] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 70] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 71] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 72] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 73] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 74] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 75] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 76] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 77] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 78] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 79] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 80] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 81] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 82] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 83] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 84] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 85] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 86] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 87] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 88] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 89] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 90] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 91] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 92] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 93] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 94] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 95] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 96] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 97] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 98] 900.0 1.000 0. 0.009 141014.0031.ec.fits[ 99] 900.0 1.000 0. 0.009 141014.0031.ec.fits[100] 900.0 1.000 0. 0.009 141014.0031.ec.fits[101] 900.0 1.000 0. 0.009 141014.0031.ec.fits[102] 900.0 1.000 0. 0.009 141014.0031.ec.fits[103] 900.0 1.000 0. 0.009 141014.0031.ec.fits[104] 900.0 1.000 0. 0.009 141014.0031.ec.fits[105] 900.0 1.000 0. 0.009 141014.0031.ec.fits[106] 900.0 1.000 0. 0.009 141014.0031.ec.fits[107] 900.0 1.000 0. 0.009 141014.0031.ec.fits[108] 900.0 1.000 0. 0.009 141014.0031.ec.fits[109] 900.0 1.000 0. 0.009 141014.0031.ec.fits[110] 900.0 1.000 0. 0.009 141014.0031.ec.fits[111] 900.0 1.000 0. 0.009 141014.0031.ec.fits[112] 900.0 1.000 0. 0.009 141014.0031.ec.fits[113] 900.0 1.000 0. 0.009 141014.0031.ec.fits[114] 900.0 1.000 0. 0.009 141014.0031.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141014.0031.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.533, w2 = 10811.55, dw = 0.04382351, nw = 170047., dtype = 0 Oct 14 14:49: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0033.ec.fits[ 1] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 2] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 3] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 4] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 5] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 6] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 7] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 8] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 9] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 10] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 11] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 12] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 13] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 14] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 15] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 16] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 17] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 18] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 19] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 20] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 21] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 22] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 23] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 24] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 25] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 26] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 27] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 28] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 29] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 30] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 31] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 32] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 33] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 34] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 35] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 36] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 37] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 38] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 39] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 40] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 41] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 42] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 43] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 44] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 45] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 46] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 47] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 48] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 49] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 50] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 51] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 52] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 53] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 54] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 55] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 56] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 57] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 58] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 59] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 60] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 61] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 62] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 63] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 64] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 65] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 66] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 67] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 68] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 69] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 70] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 71] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 72] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 73] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 74] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 75] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 76] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 77] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 78] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 79] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 80] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 81] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 82] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 83] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 84] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 85] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 86] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 87] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 88] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 89] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 90] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 91] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 92] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 93] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 94] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 95] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 96] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 97] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 98] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[ 99] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[100] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[101] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[102] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[103] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[104] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[105] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[106] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[107] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[108] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[109] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[110] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[111] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[112] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[113] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[114] 1500.0 1.000 0. 0.009 141014.0033.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141014.0033.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.536, w2 = 10811.55, dw = 0.04382661, nw = 170035., dtype = 0 Oct 14 14:50: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0034.ec.fits[ 1] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 2] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 3] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 4] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 5] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 6] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 7] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 8] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 9] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 10] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 11] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 12] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 13] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 14] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 15] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 16] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 17] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 18] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 19] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 20] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 21] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 22] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 23] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 24] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 25] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 26] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 27] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 28] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 29] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 30] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 31] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 32] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 33] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 34] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 35] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 36] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 37] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 38] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 39] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 40] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 41] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 42] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 43] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 44] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 45] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 46] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 47] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 48] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 49] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 50] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 51] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 52] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 53] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 54] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 55] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 56] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 57] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 58] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 59] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 60] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 61] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 62] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 63] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 64] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 65] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 66] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 67] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 68] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 69] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 70] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 71] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 72] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 73] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 74] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 75] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 76] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 77] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 78] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 79] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 80] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 81] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 82] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 83] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 84] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 85] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 86] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 87] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 88] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 89] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 90] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 91] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 92] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 93] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 94] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 95] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 96] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 97] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 98] 900.0 1.000 0. 0.009 141014.0034.ec.fits[ 99] 900.0 1.000 0. 0.009 141014.0034.ec.fits[100] 900.0 1.000 0. 0.009 141014.0034.ec.fits[101] 900.0 1.000 0. 0.009 141014.0034.ec.fits[102] 900.0 1.000 0. 0.009 141014.0034.ec.fits[103] 900.0 1.000 0. 0.009 141014.0034.ec.fits[104] 900.0 1.000 0. 0.009 141014.0034.ec.fits[105] 900.0 1.000 0. 0.009 141014.0034.ec.fits[106] 900.0 1.000 0. 0.009 141014.0034.ec.fits[107] 900.0 1.000 0. 0.009 141014.0034.ec.fits[108] 900.0 1.000 0. 0.009 141014.0034.ec.fits[109] 900.0 1.000 0. 0.009 141014.0034.ec.fits[110] 900.0 1.000 0. 0.009 141014.0034.ec.fits[111] 900.0 1.000 0. 0.009 141014.0034.ec.fits[112] 900.0 1.000 0. 0.009 141014.0034.ec.fits[113] 900.0 1.000 0. 0.009 141014.0034.ec.fits[114] 900.0 1.000 0. 0.009 141014.0034.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141014.0034.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.544, w2 = 10811.55, dw = 0.04384361, nw = 169969., dtype = 0 Oct 14 14:51: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0035.ec.fits[ 1] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 2] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 3] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 4] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 5] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 6] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 7] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 8] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 9] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 10] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 11] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 12] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 13] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 14] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 15] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 16] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 17] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 18] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 19] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 20] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 21] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 22] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 23] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 24] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 25] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 26] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 27] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 28] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 29] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 30] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 31] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 32] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 33] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 34] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 35] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 36] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 37] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 38] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 39] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 40] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 41] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 42] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 43] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 44] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 45] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 46] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 47] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 48] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 49] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 50] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 51] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 52] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 53] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 54] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 55] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 56] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 57] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 58] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 59] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 60] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 61] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 62] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 63] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 64] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 65] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 66] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 67] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 68] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 69] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 70] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 71] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 72] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 73] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 74] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 75] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 76] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 77] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 78] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 79] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 80] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 81] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 82] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 83] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 84] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 85] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 86] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 87] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 88] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 89] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 90] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 91] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 92] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 93] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 94] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 95] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 96] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 97] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 98] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[ 99] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[100] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[101] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[102] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[103] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[104] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[105] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[106] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[107] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[108] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[109] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[110] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[111] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[112] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[113] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[114] 1200.0 1.000 0. 0.009 141014.0035.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141014.0035.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.552, w2 = 10811.56, dw = 0.04385854, nw = 169911., dtype = 0 Oct 14 14:51: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0037.ec.fits[ 1] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 2] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 3] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 4] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 5] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 6] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 7] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 8] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 9] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 10] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 11] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 12] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 13] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 14] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 15] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 16] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 17] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 18] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 19] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 20] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 21] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 22] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 23] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 24] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 25] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 26] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 27] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 28] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 29] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 30] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 31] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 32] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 33] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 34] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 35] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 36] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 37] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 38] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 39] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 40] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 41] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 42] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 43] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 44] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 45] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 46] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 47] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 48] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 49] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 50] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 51] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 52] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 53] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 54] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 55] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 56] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 57] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 58] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 59] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 60] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 61] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 62] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 63] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 64] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 65] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 66] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 67] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 68] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 69] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 70] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 71] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 72] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 73] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 74] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 75] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 76] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 77] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 78] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 79] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 80] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 81] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 82] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 83] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 84] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 85] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 86] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 87] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 88] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 89] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 90] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 91] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 92] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 93] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 94] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 95] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 96] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 97] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 98] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[ 99] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[100] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[101] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[102] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[103] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[104] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[105] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[106] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[107] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[108] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[109] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[110] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[111] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[112] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[113] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[114] 1200.0 1.000 0. 0.009 141014.0037.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141014.0037.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.54, w2 = 10811.56, dw = 0.04384571, nw = 169961., dtype = 0 Oct 14 14:52: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141014.0038.ec.fits[ 1] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 2] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 3] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 4] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 5] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 6] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 7] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 8] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 9] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 10] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 11] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 12] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 13] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 14] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 15] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 16] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 17] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 18] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 19] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 20] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 21] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 22] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 23] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 24] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 25] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 26] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 27] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 28] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 29] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 30] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 31] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 32] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 33] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 34] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 35] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 36] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 37] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 38] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 39] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 40] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 41] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 42] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 43] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 44] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 45] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 46] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 47] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 48] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 49] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 50] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 51] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 52] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 53] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 54] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 55] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 56] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 57] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 58] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 59] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 60] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 61] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 62] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 63] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 64] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 65] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 66] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 67] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 68] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 69] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 70] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 71] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 72] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 73] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 74] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 75] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 76] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 77] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 78] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 79] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 80] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 81] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 82] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 83] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 84] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 85] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 86] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 87] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 88] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 89] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 90] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 91] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 92] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 93] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 94] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 95] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 96] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 97] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 98] 900.0 1.000 0. 0.009 141014.0038.ec.fits[ 99] 900.0 1.000 0. 0.009 141014.0038.ec.fits[100] 900.0 1.000 0. 0.009 141014.0038.ec.fits[101] 900.0 1.000 0. 0.009 141014.0038.ec.fits[102] 900.0 1.000 0. 0.009 141014.0038.ec.fits[103] 900.0 1.000 0. 0.009 141014.0038.ec.fits[104] 900.0 1.000 0. 0.009 141014.0038.ec.fits[105] 900.0 1.000 0. 0.009 141014.0038.ec.fits[106] 900.0 1.000 0. 0.009 141014.0038.ec.fits[107] 900.0 1.000 0. 0.009 141014.0038.ec.fits[108] 900.0 1.000 0. 0.009 141014.0038.ec.fits[109] 900.0 1.000 0. 0.009 141014.0038.ec.fits[110] 900.0 1.000 0. 0.009 141014.0038.ec.fits[111] 900.0 1.000 0. 0.009 141014.0038.ec.fits[112] 900.0 1.000 0. 0.009 141014.0038.ec.fits[113] 900.0 1.000 0. 0.009 141014.0038.ec.fits[114] 900.0 1.000 0. 0.009 141014.0038.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141014.0038.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.5, w2 = 10811.55, dw = 0.04379025, nw = 170177., dtype = 0 Oct 14 14:52: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141014.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141014.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.462, w2 = 10811.55, dw = 0.04371442, nw = 170473., dtype = 0 Oct 14 14:53: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141014.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141014.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.471, w2 = 10811.56, dw = 0.04373473, nw = 170394., dtype = 0 Oct 14 14:53: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141014.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141014.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.481, w2 = 10811.58, dw = 0.04375504, nw = 170315., dtype = 0 Oct 14 14:54: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141014.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141014.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.501, w2 = 10811.57, dw = 0.04379373, nw = 170164., dtype = 0 Oct 14 14:55: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0026.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141014.0026.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141014.0026.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.526, w2 = 10811.55, dw = 0.04383595, nw = 169999., dtype = 0 Oct 14 14:55: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[100] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[101] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[102] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[103] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[104] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[105] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[106] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[107] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[108] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[109] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[110] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[111] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[112] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[113] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[114] 600.0 1.000 0. 0.009 fitcont141014.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont141014.0027.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.542, w2 = 10811.53, dw = 0.04386337, nw = 169892., dtype = 0 Oct 14 14:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0029.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[100] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[101] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[102] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[103] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[104] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[105] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[106] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[107] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[108] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[109] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[110] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[111] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[112] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[113] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[114] 720.0 1.000 0. 0.009 fitcont141014.0029.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont141014.0029.ec.fits, ncombine = 115, exptime = 82800. w1 = 3359.546, w2 = 10811.53, dw = 0.04386643, nw = 169880., dtype = 0 Oct 14 14:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141014.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141014.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.54, w2 = 10811.54, dw = 0.04384714, nw = 169955., dtype = 0 Oct 14 14:57: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0031.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141014.0031.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141014.0031.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.533, w2 = 10811.55, dw = 0.04382351, nw = 170047., dtype = 0 Oct 14 14:58: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0033.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141014.0033.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141014.0033.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.536, w2 = 10811.55, dw = 0.04382661, nw = 170035., dtype = 0 Oct 14 14:58: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0034.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141014.0034.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141014.0034.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.544, w2 = 10811.55, dw = 0.04384361, nw = 169969., dtype = 0 Oct 14 14:59: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0035.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141014.0035.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141014.0035.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.552, w2 = 10811.56, dw = 0.04385854, nw = 169911., dtype = 0 Oct 14 14:59: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0037.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141014.0037.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141014.0037.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.54, w2 = 10811.56, dw = 0.04384571, nw = 169961., dtype = 0 Oct 14 15:00: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141014.0038.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141014.0038.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141014.0038.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.5, w2 = 10811.55, dw = 0.04379025, nw = 170177., dtype = 0 103500. fullspec141014.0021.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141014.0021.ec.fits updated 172500. fullspec141014.0022.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141014.0022.ec.fits updated 103500. fullspec141014.0023.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141014.0023.ec.fits updated 172500. fullspec141014.0025.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141014.0025.ec.fits updated 172500. fullspec141014.0026.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141014.0026.ec.fits updated 69000.01 fullspec141014.0027.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspec141014.0027.ec.fits updated 82800. fullspec141014.0029.ec.fits,EXPTIME: 82800. -> 720.0 fullspec141014.0029.ec.fits updated 172500. fullspec141014.0030.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141014.0030.ec.fits updated 103500. fullspec141014.0031.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141014.0031.ec.fits updated 172500. fullspec141014.0033.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141014.0033.ec.fits updated 103500. fullspec141014.0034.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141014.0034.ec.fits updated 138000. fullspec141014.0035.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141014.0035.ec.fits updated 138000. fullspec141014.0037.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141014.0037.ec.fits updated 103500. fullspec141014.0038.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141014.0038.ec.fits updated ALL DONE! Yay! (=^.^=)