Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 130601.0021.fits,dispaxis = 1 130601.0021.fits updated add 130601.0022.fits,dispaxis = 1 130601.0022.fits updated add 130601.0023.fits,dispaxis = 1 130601.0023.fits updated add 130601.0024.fits,dispaxis = 1 130601.0024.fits updated add 130601.0025.fits,dispaxis = 1 130601.0025.fits updated add 130601.0026.fits,dispaxis = 1 130601.0026.fits updated add 130601.0027.fits,dispaxis = 1 130601.0027.fits updated add 130601.0028.fits,dispaxis = 1 130601.0028.fits updated add 130601.0029.fits,dispaxis = 1 130601.0029.fits updated add 130601.0030.fits,dispaxis = 1 130601.0030.fits updated add 130601.0031.fits,dispaxis = 1 130601.0031.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 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 130601.0021.fits with mask echmask.pl FIXPIX: image 130601.0022.fits with mask echmask.pl FIXPIX: image 130601.0023.fits with mask echmask.pl FIXPIX: image 130601.0024.fits with mask echmask.pl FIXPIX: image 130601.0025.fits with mask echmask.pl FIXPIX: image 130601.0026.fits with mask echmask.pl FIXPIX: image 130601.0027.fits with mask echmask.pl FIXPIX: image 130601.0028.fits with mask echmask.pl FIXPIX: image 130601.0029.fits with mask echmask.pl FIXPIX: image 130601.0030.fits with mask echmask.pl FIXPIX: image 130601.0031.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 Dec 10 11:13: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.0 EchelleBias.0003.fits 0.9 EchelleBias.0004.fits 0.0 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 0.0 EchelleBias.0007.fits 0.9 EchelleBias.0008.fits 0.0 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 130601.0021.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0021.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0022.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0022.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0023.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0023.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0024.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0024.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0025.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0025.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0026.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0026.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0027.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0027.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0028.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0028.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0029.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0029.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0030.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0030.fits: Dec 10 11:13 Zero level correction image is bias_fid 130601.0031.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130601.0031.fits: Dec 10 11:13 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleFlat.0012.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleFlat.0013.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Dec 10 11:13 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Dec 10 11:13 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0018.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0019.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0020.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Dec 10 11:13 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 11:14: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0014.fits 200.0 EchelleFlatBlue.0015.fits 200.0 EchelleFlatBlue.0016.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Dec 10 11:14: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0011.fits 7.0 EchelleFlat.0012.fits 7.0 EchelleFlat.0013.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 10 11:14: TRACE - Trace of aperture 96 in flat_fid_mag lost at column 64. Dec 10 11:14: TRACE - Trace of aperture 96 in flat_fid_mag recovered at column 63. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1631. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 1632. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 97. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 96. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 95. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 94. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 71. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 70. Dec 10 11:14: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 69. Dec 10 11:14: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1647. Dec 10 11:14: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1648. Dec 10 11:14: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1649. Dec 10 11:14: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 138. Dec 10 11:14: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 137. Dec 10 11:14: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 136. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1599. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1600. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1624. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1625. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1626. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1627. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1628. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1629. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 109. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 108. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 107. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 106. Dec 10 11:14: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 105. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1593. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1594. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1595. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1641. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1642. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1643. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 138. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 137. Dec 10 11:14: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 136. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1516. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1517. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1518. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1519. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 141. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 140. Dec 10 11:14: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 139. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1568. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1569. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1592. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1593. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1639. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1640. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 146. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 145. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 144. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 134. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 133. Dec 10 11:14: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 132. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1619. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1620. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1621. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1628. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1629. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1632. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1633. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1634. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 146. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 145. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 144. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 118. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 117. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 116. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 115. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 114. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 94. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 93. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 89. Dec 10 11:14: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 88. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1552. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1553. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1554. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1568. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1569. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1573. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1574. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1579. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1580. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1625. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1626. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1627. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 228. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 227. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 226. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 165. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 164. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 163. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 162. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 161. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 160. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 158. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 157. Dec 10 11:14: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 156. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1548. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1549. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1559. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1560. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1577. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1578. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1579. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1580. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1627. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1628. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1632. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1633. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1634. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 182. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 181. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 159. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 158. Dec 10 11:14: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 157. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1523. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1524. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1525. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 196. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 195. Dec 10 11:14: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 194. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1467. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1468. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1472. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1473. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1480. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1481. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1482. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 231. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 230. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 228. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 227. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 208. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 207. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 195. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 194. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 161. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 160. Dec 10 11:14: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 159. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1443. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1444. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1501. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1502. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1507. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1508. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1518. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1519. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1520. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 207. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 206. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 178. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 177. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 176. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 168. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 167. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 161. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 160. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 143. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 142. Dec 10 11:14: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 141. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1368. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1369. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1376. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1377. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1378. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1379. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1380. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1381. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1440. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1441. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1446. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1447. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1478. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1479. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1480. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1493. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1494. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1514. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1515. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1516. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1530. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1531. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1532. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1533. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1535. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1536. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1540. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1541. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1542. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1550. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1551. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1565. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1566. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1567. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1574. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1575. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1576. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1587. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1588. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1614. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1615. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1628. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1629. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1634. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1635. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1636. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1639. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1640. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1641. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1642. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1643. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 316. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 315. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 243. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 242. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 237. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 236. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 225. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 224. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 223. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 217. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 216. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 191. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 190. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 189. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 182. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 181. Dec 10 11:14: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 180. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1329. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1330. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1331. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 272. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 271. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 263. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 262. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 219. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 218. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 217. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 216. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 215. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 214. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 213. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 211. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 210. Dec 10 11:14: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 209. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1107. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1108. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1199. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1200. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1298. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1299. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1337. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1338. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1360. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1361. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1365. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1366. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1383. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1384. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1417. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1418. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1446. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1447. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1456. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1457. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1469. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1470. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1471. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1490. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1491. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1492. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 328. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 327. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 319. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 318. Dec 10 11:14: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 317. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1098. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1099. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1111. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1112. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1113. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 480. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 479. Dec 10 11:14: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 478. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1014. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1015. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1093. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1094. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1120. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1121. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1167. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1168. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1238. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1239. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1291. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1292. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1334. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1335. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1337. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1338. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1339. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1351. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1352. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1353. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1354. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1355. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1356. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1359. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1360. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1361. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 678. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 677. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 609. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 608. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 607. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 451. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 450. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 413. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 412. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 393. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 392. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 390. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 389. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 382. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 381. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 378. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 377. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 362. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 361. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 360. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 346. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 345. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 344. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 338. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 337. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 326. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 325. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 324. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 321. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 320. Dec 10 11:14: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 319. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 848. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 849. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 937. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 938. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 966. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 967. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 968. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 781. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 780. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 778. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 777. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 775. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 774. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 627. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 626. Dec 10 11:14: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 625. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 22.72 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 object by a factor of 4 in the y direction... 130601.0021 Magnify image 130601.0021 to image 130601.0021. 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 130601.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0021 -> noscat130601.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130601.0022 Magnify image 130601.0022 to image 130601.0022. 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 130601.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0022 -> noscat130601.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:18: EXTRACT: WARNING - Aperture 106: Dec 10 11:18: Total variance weighted spectrum flux is 23256.75 Dec 10 11:18: Total unweighted spectrum flux is 10057.66 Dec 10 11:18: EXTRACT: Aperture 106 variance spectrum bias factor is 0.432462 Dec 10 11:18: EXTRACT: WARNING - Aperture 109: Dec 10 11:18: Total variance weighted spectrum flux is 7324.973 Dec 10 11:18: Total unweighted spectrum flux is -53.26898 Dec 10 11:18: Variance spectrum bias factor ignored Dec 10 11:18: EXTRACT: WARNING - Aperture 112: Dec 10 11:18: Total variance weighted spectrum flux is 5850.881 Dec 10 11:18: Total unweighted spectrum flux is 2881.18 Dec 10 11:18: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4924353 Dec 10 11:18: EXTRACT: WARNING - Aperture 113: Dec 10 11:18: Total variance weighted spectrum flux is 10208.69 Dec 10 11:18: Total unweighted spectrum flux is 4377.166 Dec 10 11:18: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4287686 Dec 10 11:18: EXTRACT: WARNING - Aperture 114: Dec 10 11:18: Total variance weighted spectrum flux is 8170.471 Dec 10 11:18: Total unweighted spectrum flux is 2493.176 Dec 10 11:18: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3051447 Resampling the object by a factor of 4 in the y direction... 130601.0023 Magnify image 130601.0023 to image 130601.0023. 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 130601.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0023 -> noscat130601.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:20: EXTRACT: WARNING - Aperture 96: Dec 10 11:20: Total variance weighted spectrum flux is 10805.4 Dec 10 11:20: Total unweighted spectrum flux is 4419.192 Dec 10 11:20: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4089799 Dec 10 11:20: EXTRACT: WARNING - Aperture 99: Dec 10 11:20: Total variance weighted spectrum flux is 11923.56 Dec 10 11:20: Total unweighted spectrum flux is 1133.921 Dec 10 11:20: EXTRACT: Aperture 99 variance spectrum bias factor is 0.09509917 Dec 10 11:20: EXTRACT: WARNING - Aperture 100: Dec 10 11:20: Total variance weighted spectrum flux is 11334.14 Dec 10 11:20: Total unweighted spectrum flux is 3680.451 Dec 10 11:20: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3247227 Dec 10 11:20: EXTRACT: WARNING - Aperture 106: Dec 10 11:20: Total variance weighted spectrum flux is 12156.97 Dec 10 11:20: Total unweighted spectrum flux is 2616.152 Dec 10 11:20: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2151976 Dec 10 11:20: EXTRACT: WARNING - Aperture 107: Dec 10 11:20: Total variance weighted spectrum flux is 16491.16 Dec 10 11:20: Total unweighted spectrum flux is 5087.578 Dec 10 11:20: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3085034 Dec 10 11:20: EXTRACT: WARNING - Aperture 108: Dec 10 11:20: Total variance weighted spectrum flux is 13806.2 Dec 10 11:20: Total unweighted spectrum flux is 4554.29 Dec 10 11:20: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3298728 Dec 10 11:20: EXTRACT: WARNING - Aperture 109: Dec 10 11:20: Total variance weighted spectrum flux is 4611.508 Dec 10 11:20: Total unweighted spectrum flux is -139.9492 Dec 10 11:20: Variance spectrum bias factor ignored Dec 10 11:20: EXTRACT: WARNING - Aperture 110: Dec 10 11:20: Total variance weighted spectrum flux is 18385.58 Dec 10 11:20: Total unweighted spectrum flux is 4349.742 Dec 10 11:20: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2365845 Dec 10 11:20: EXTRACT: WARNING - Aperture 111: Dec 10 11:20: Total variance weighted spectrum flux is 6156.983 Dec 10 11:20: Total unweighted spectrum flux is 1719.061 Dec 10 11:20: EXTRACT: Aperture 111 variance spectrum bias factor is 0.279205 Dec 10 11:20: EXTRACT: WARNING - Aperture 112: Dec 10 11:20: Total variance weighted spectrum flux is 6991.542 Dec 10 11:20: Total unweighted spectrum flux is 493.0085 Dec 10 11:20: EXTRACT: Aperture 112 variance spectrum bias factor is 0.07051499 Dec 10 11:20: EXTRACT: WARNING - Aperture 113: Dec 10 11:20: Total variance weighted spectrum flux is 2049.564 Dec 10 11:20: Total unweighted spectrum flux is -1385.698 Dec 10 11:20: Variance spectrum bias factor ignored Dec 10 11:20: EXTRACT: WARNING - Aperture 114: Dec 10 11:20: Total variance weighted spectrum flux is 7483.265 Dec 10 11:20: Total unweighted spectrum flux is 2336.455 Dec 10 11:20: EXTRACT: Aperture 114 variance spectrum bias factor is 0.312224 Dec 10 11:20: EXTRACT: WARNING - Aperture 115: Dec 10 11:20: Total variance weighted spectrum flux is 1341.532 Dec 10 11:20: Total unweighted spectrum flux is -1336.317 Dec 10 11:20: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 130601.0024 Magnify image 130601.0024 to image 130601.0024. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130601.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0024 -> noscat130601.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:21: EXTRACT: WARNING - Aperture 105: Dec 10 11:21: Total variance weighted spectrum flux is 18890.46 Dec 10 11:21: Total unweighted spectrum flux is 9002.687 Dec 10 11:21: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4765732 Dec 10 11:21: EXTRACT: WARNING - Aperture 106: Dec 10 11:21: Total variance weighted spectrum flux is 10032.86 Dec 10 11:21: Total unweighted spectrum flux is -34.09529 Dec 10 11:21: Variance spectrum bias factor ignored Dec 10 11:21: EXTRACT: WARNING - Aperture 108: Dec 10 11:21: Total variance weighted spectrum flux is 12136.23 Dec 10 11:21: Total unweighted spectrum flux is 5424.662 Dec 10 11:21: EXTRACT: Aperture 108 variance spectrum bias factor is 0.446981 Dec 10 11:21: EXTRACT: WARNING - Aperture 109: Dec 10 11:21: Total variance weighted spectrum flux is 11510.94 Dec 10 11:21: Total unweighted spectrum flux is 3184.809 Dec 10 11:21: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2766767 Dec 10 11:21: EXTRACT: WARNING - Aperture 110: Dec 10 11:21: Total variance weighted spectrum flux is 18474.04 Dec 10 11:21: Total unweighted spectrum flux is 8162.859 Dec 10 11:21: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4418557 Dec 10 11:22: EXTRACT: WARNING - Aperture 111: Dec 10 11:22: Total variance weighted spectrum flux is 14634.58 Dec 10 11:22: Total unweighted spectrum flux is 5723.425 Dec 10 11:22: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3910891 Dec 10 11:22: EXTRACT: WARNING - Aperture 112: Dec 10 11:22: Total variance weighted spectrum flux is 14351.74 Dec 10 11:22: Total unweighted spectrum flux is 4571.861 Dec 10 11:22: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3185579 Dec 10 11:22: EXTRACT: WARNING - Aperture 113: Dec 10 11:22: Total variance weighted spectrum flux is 2497.886 Dec 10 11:22: Total unweighted spectrum flux is 1241.33 Dec 10 11:22: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4969524 Dec 10 11:22: EXTRACT: WARNING - Aperture 114: Dec 10 11:22: Total variance weighted spectrum flux is 4230.252 Dec 10 11:22: Total unweighted spectrum flux is 1406.986 Dec 10 11:22: EXTRACT: Aperture 114 variance spectrum bias factor is 0.332601 Dec 10 11:22: EXTRACT: WARNING - Aperture 115: Dec 10 11:22: Total variance weighted spectrum flux is 2103.217 Dec 10 11:22: Total unweighted spectrum flux is 533.2936 Dec 10 11:22: EXTRACT: Aperture 115 variance spectrum bias factor is 0.253561 Resampling the object by a factor of 4 in the y direction... 130601.0025 Magnify image 130601.0025 to image 130601.0025. 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 130601.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0025 -> noscat130601.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:23: EXTRACT: WARNING - Aperture 105: Dec 10 11:23: Total variance weighted spectrum flux is 14718.39 Dec 10 11:23: Total unweighted spectrum flux is 5742.551 Dec 10 11:23: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3901617 Dec 10 11:23: EXTRACT: WARNING - Aperture 106: Dec 10 11:23: Total variance weighted spectrum flux is 10532.9 Dec 10 11:23: Total unweighted spectrum flux is 999.4244 Dec 10 11:23: EXTRACT: Aperture 106 variance spectrum bias factor is 0.09488599 Dec 10 11:23: EXTRACT: WARNING - Aperture 107: Dec 10 11:23: Total variance weighted spectrum flux is 9785.313 Dec 10 11:23: Total unweighted spectrum flux is 3855.07 Dec 10 11:23: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3939649 Dec 10 11:23: EXTRACT: WARNING - Aperture 108: Dec 10 11:23: Total variance weighted spectrum flux is 12892.02 Dec 10 11:23: Total unweighted spectrum flux is 6168.986 Dec 10 11:23: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4785119 Dec 10 11:23: EXTRACT: WARNING - Aperture 109: Dec 10 11:23: Total variance weighted spectrum flux is 4671.111 Dec 10 11:23: Total unweighted spectrum flux is 363.5672 Dec 10 11:23: EXTRACT: Aperture 109 variance spectrum bias factor is 0.07783312 Dec 10 11:23: EXTRACT: WARNING - Aperture 110: Dec 10 11:23: Total variance weighted spectrum flux is 8750.98 Dec 10 11:23: Total unweighted spectrum flux is 2054.577 Dec 10 11:23: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2347825 Dec 10 11:23: EXTRACT: WARNING - Aperture 111: Dec 10 11:23: Total variance weighted spectrum flux is 9481.374 Dec 10 11:23: Total unweighted spectrum flux is 3183.075 Dec 10 11:23: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3357188 Dec 10 11:23: EXTRACT: WARNING - Aperture 112: Dec 10 11:23: Total variance weighted spectrum flux is 5837.465 Dec 10 11:23: Total unweighted spectrum flux is -557.7423 Dec 10 11:23: Variance spectrum bias factor ignored Dec 10 11:23: EXTRACT: WARNING - Aperture 113: Dec 10 11:23: Total variance weighted spectrum flux is 4258.063 Dec 10 11:23: Total unweighted spectrum flux is 1812.833 Dec 10 11:23: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4257413 Dec 10 11:23: EXTRACT: WARNING - Aperture 114: Dec 10 11:23: Total variance weighted spectrum flux is 3111.16 Dec 10 11:23: Total unweighted spectrum flux is 119.146 Dec 10 11:23: EXTRACT: Aperture 114 variance spectrum bias factor is 0.03829633 Dec 10 11:23: EXTRACT: WARNING - Aperture 115: Dec 10 11:23: Total variance weighted spectrum flux is 3238.864 Dec 10 11:23: Total unweighted spectrum flux is -204.5354 Dec 10 11:23: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 130601.0026 Magnify image 130601.0026 to image 130601.0026. 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 130601.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0026 -> noscat130601.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:25: EXTRACT: WARNING - Aperture 114: Dec 10 11:25: Total variance weighted spectrum flux is 10244.11 Dec 10 11:25: Total unweighted spectrum flux is 2529.89 Dec 10 11:25: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2469604 Resampling the object by a factor of 4 in the y direction... 130601.0027 Magnify image 130601.0027 to image 130601.0027. 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 130601.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0027 -> noscat130601.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130601.0028 Magnify image 130601.0028 to image 130601.0028. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 130601.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0028 -> noscat130601.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:28: EXTRACT: WARNING - Aperture 110: Dec 10 11:28: Total variance weighted spectrum flux is 11788.33 Dec 10 11:28: Total unweighted spectrum flux is 5586.027 Dec 10 11:28: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4738606 Dec 10 11:28: EXTRACT: WARNING - Aperture 112: Dec 10 11:28: Total variance weighted spectrum flux is 11983.63 Dec 10 11:28: Total unweighted spectrum flux is 4653.72 Dec 10 11:28: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3883398 Dec 10 11:28: EXTRACT: WARNING - Aperture 113: Dec 10 11:28: Total variance weighted spectrum flux is 5706.082 Dec 10 11:28: Total unweighted spectrum flux is 2242.163 Dec 10 11:28: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3929427 Dec 10 11:28: EXTRACT: WARNING - Aperture 114: Dec 10 11:28: Total variance weighted spectrum flux is 4330.362 Dec 10 11:28: Total unweighted spectrum flux is 1840.565 Dec 10 11:28: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4250371 Resampling the object by a factor of 4 in the y direction... 130601.0029 Magnify image 130601.0029 to image 130601.0029. 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 130601.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0029 -> noscat130601.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:30: EXTRACT: WARNING - Aperture 115: Dec 10 11:30: Total variance weighted spectrum flux is 5567.623 Dec 10 11:30: Total unweighted spectrum flux is 1554.094 Dec 10 11:30: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2791307 Resampling the object by a factor of 4 in the y direction... 130601.0030 Magnify image 130601.0030 to image 130601.0030. 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 130601.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0030 -> noscat130601.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:31: EXTRACT: WARNING - Aperture 109: Dec 10 11:31: Total variance weighted spectrum flux is 6141.963 Dec 10 11:31: Total unweighted spectrum flux is -565.1282 Dec 10 11:31: Variance spectrum bias factor ignored Dec 10 11:31: EXTRACT: WARNING - Aperture 112: Dec 10 11:31: Total variance weighted spectrum flux is 20510.51 Dec 10 11:31: Total unweighted spectrum flux is 10174.1 Dec 10 11:31: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4960433 Dec 10 11:31: EXTRACT: WARNING - Aperture 115: Dec 10 11:31: Total variance weighted spectrum flux is 3616.68 Dec 10 11:31: Total unweighted spectrum flux is 1277.377 Dec 10 11:31: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3531904 Resampling the object by a factor of 4 in the y direction... 130601.0031 Magnify image 130601.0031 to image 130601.0031. 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 130601.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130601.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130601.0031 -> noscat130601.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:33: EXTRACT: WARNING - Aperture 115: Dec 10 11:33: Total variance weighted spectrum flux is 3313.124 Dec 10 11:33: Total unweighted spectrum flux is 1631.584 Dec 10 11:33: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4924609 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 Flatfielding extracted arcs and object spectra... parameter EchelleThAr.0017.ec.fits,UTMIDDLE already exists EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 06:45:43.779 -> 06:46:17.779471 EchelleThAr.0017.ec.fits updated parameter EchelleThAr.0018.ec.fits,UTMIDDLE already exists EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 06:49:47.920 -> 06:50:21.919735 EchelleThAr.0018.ec.fits updated parameter EchelleThAr.0019.ec.fits,UTMIDDLE already exists EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 06:52:50.037 -> 06:53:24.037157 EchelleThAr.0019.ec.fits updated parameter EchelleThAr.0020.ec.fits,UTMIDDLE already exists EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 06:55:52.193 -> 06:56:26.193250 EchelleThAr.0020.ec.fits updated parameter 130601.0021.ec.fits,UTMIDDLE already exists 130601.0021.ec.fits updated 130601.0021.ec.fits,UTMIDDLE: 07:28:09.266 -> 07:28:43.266201 130601.0021.ec.fits updated parameter 130601.0022.ec.fits,UTMIDDLE already exists 130601.0022.ec.fits updated 130601.0022.ec.fits,UTMIDDLE: 07:46:41.041 -> 07:47:15.040743 130601.0022.ec.fits updated parameter 130601.0023.ec.fits,UTMIDDLE already exists 130601.0023.ec.fits updated 130601.0023.ec.fits,UTMIDDLE: 08:12:30.556 -> 08:13:04.555828 130601.0023.ec.fits updated parameter 130601.0024.ec.fits,UTMIDDLE already exists 130601.0024.ec.fits updated 130601.0024.ec.fits,UTMIDDLE: 08:37:42.930 -> 08:38:16.929113 130601.0024.ec.fits updated parameter 130601.0025.ec.fits,UTMIDDLE already exists 130601.0025.ec.fits updated 130601.0025.ec.fits,UTMIDDLE: 09:03:47.316 -> 09:04:21.315771 130601.0025.ec.fits updated parameter 130601.0026.ec.fits,UTMIDDLE already exists 130601.0026.ec.fits updated 130601.0026.ec.fits,UTMIDDLE: 09:28:03.933 -> 09:28:37.932710 130601.0026.ec.fits updated parameter 130601.0027.ec.fits,UTMIDDLE already exists 130601.0027.ec.fits updated 130601.0027.ec.fits,UTMIDDLE: 09:43:46.588 -> 09:44:20.587866 130601.0027.ec.fits updated parameter 130601.0028.ec.fits,UTMIDDLE already exists 130601.0028.ec.fits updated 130601.0028.ec.fits,UTMIDDLE: 09:58:56.819 -> 09:59:30.819083 130601.0028.ec.fits updated parameter 130601.0029.ec.fits,UTMIDDLE already exists 130601.0029.ec.fits updated 130601.0029.ec.fits,UTMIDDLE: 10:16:35.450 -> 10:17:09.449623 130601.0029.ec.fits updated parameter 130601.0030.ec.fits,UTMIDDLE already exists 130601.0030.ec.fits updated 130601.0030.ec.fits,UTMIDDLE: 10:34:14.195 -> 10:34:48.194989 130601.0030.ec.fits updated parameter 130601.0031.ec.fits,UTMIDDLE already exists 130601.0031.ec.fits updated 130601.0031.ec.fits,UTMIDDLE: 10:51:55.063 -> 10:52:29.063461 130601.0031.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 130601.0021.ec.fits 2456444.81161 2456444.81293 2456444 130601.0022.ec.fits 2456444.82448 2456444.82592 2456444 130601.0023.ec.fits 2456444.84241 2456444.84380 2456444 130601.0024.ec.fits 2456444.85992 2456444.86165 2456444 130601.0025.ec.fits 2456444.87802 2456444.87967 2456444 130601.0026.ec.fits 2456444.89488 2456444.89644 2456444 130601.0027.ec.fits 2456444.90579 2456444.90712 2456444 130601.0028.ec.fits 2456444.91633 2456444.91773 2456444 130601.0029.ec.fits 2456444.92858 2456444.92979 2456444 130601.0030.ec.fits 2456444.94084 2456444.94189 2456444 130601.0031.ec.fits 2456444.95311 2456444.95393 2456444 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 11:33:08 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1011/2055 1011/1011 2.94 -21.5 -3.8E-5 0.0134 EchelleThAr.0018.ec 2000/2055 2000/2000 2.97 -21.8 -3.8E-5 0.00942 EchelleThAr.0019.ec 1997/2055 1997/1997 2.99 -21.9 -3.9E-5 0.00859 EchelleThAr.0020.ec 2016/2055 2016/2016 3. -22. -3.9E-5 0.0088 [130601.0021.ec] refspec1='EchelleThAr.0020.ec' [130601.0022.ec] refspec1='EchelleThAr.0020.ec' [130601.0023.ec] refspec1='EchelleThAr.0020.ec' [130601.0024.ec] refspec1='EchelleThAr.0020.ec' [130601.0025.ec] refspec1='EchelleThAr.0020.ec' [130601.0026.ec] refspec1='EchelleThAr.0020.ec' [130601.0027.ec] refspec1='EchelleThAr.0020.ec' [130601.0028.ec] refspec1='EchelleThAr.0020.ec' [130601.0029.ec] refspec1='EchelleThAr.0020.ec' [130601.0030.ec] refspec1='EchelleThAr.0020.ec' [130601.0031.ec] refspec1='EchelleThAr.0020.ec' [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' 130601.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0021.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0021.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0021.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0021.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0021.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0021.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0021.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0021.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0021.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0021.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0021.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0021.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0021.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0021.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0021.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0021.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0021.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0021.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0021.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0021.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0021.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0021.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0021.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0021.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0021.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0021.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0021.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0021.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0021.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0021.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0021.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0021.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0021.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0021.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0021.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0021.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0021.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0021.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0021.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0021.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0021.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0021.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0021.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0021.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0021.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0021.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0021.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0021.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0021.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0021.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0021.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0021.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0021.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0021.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0021.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0021.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0021.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0021.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0021.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0021.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0021.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0021.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0021.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0021.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0021.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0021.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0021.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0021.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0021.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0021.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0021.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0021.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0021.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0021.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0021.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0021.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0021.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0021.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0021.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0021.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0021.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0021.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0021.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0021.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0021.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0021.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0021.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0021.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0021.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0021.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0021.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0021.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0021.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0021.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0021.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0021.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0021.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0021.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0021.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0021.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0021.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0021.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0021.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0021.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0021.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0021.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0021.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0021.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0021.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0021.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0021.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0021.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0021.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0021.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0021.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0022.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0022.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0022.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0022.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0022.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0022.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0022.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0022.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0022.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0022.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0022.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0022.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0022.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0022.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0022.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0022.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0022.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0022.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0022.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0022.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0022.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0022.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0022.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0022.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0022.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0022.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0022.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0022.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0022.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0022.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0022.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0022.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0022.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0022.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0022.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0022.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0022.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0022.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0022.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0022.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0022.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0022.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0022.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0022.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0022.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0022.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0022.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0022.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0022.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0022.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0022.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0022.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0022.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0022.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0022.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0022.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0022.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0022.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0022.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0022.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0022.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0022.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0022.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0022.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0022.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0022.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0022.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0022.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0022.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0022.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0022.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0022.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0022.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0022.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0022.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0022.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0022.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0022.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0022.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0022.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0022.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0022.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0022.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0022.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0022.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0022.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0022.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0022.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0022.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0022.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0022.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0022.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0022.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0022.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0022.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0022.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0022.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0022.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0022.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0022.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0022.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0022.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0022.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0022.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0022.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0022.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0022.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0022.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0022.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0022.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0022.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0022.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0022.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0022.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0022.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0023.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0023.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0023.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0023.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0023.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0023.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0023.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0023.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0023.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0023.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0023.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0023.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0023.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0023.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0023.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0023.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0023.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0023.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0023.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0023.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0023.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0023.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0023.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0023.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0023.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0023.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0023.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0023.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0023.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0023.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0023.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0023.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0023.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0023.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0023.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0023.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0023.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0023.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0023.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0023.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0023.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0023.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0023.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0023.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0023.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0023.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0023.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0023.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0023.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0023.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0023.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0023.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0023.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0023.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0023.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0023.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0023.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0023.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0023.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0023.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0023.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0023.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0023.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0023.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0023.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0023.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0023.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0023.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0023.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0023.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0023.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0023.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0023.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0023.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0023.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0023.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0023.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0023.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0023.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0023.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0023.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0023.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0023.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0023.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0023.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0023.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0023.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0023.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0023.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0023.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0023.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0023.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0023.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0023.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0023.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0023.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0023.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0023.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0023.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0023.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0023.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0023.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0023.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0023.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0023.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0023.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0023.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0023.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0023.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0023.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0023.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0023.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0023.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0023.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0023.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0024.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0024.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0024.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0024.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0024.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0024.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0024.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0024.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0024.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0024.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0024.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0024.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0024.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0024.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0024.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0024.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0024.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0024.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0024.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0024.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0024.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0024.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0024.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0024.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0024.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0024.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0024.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0024.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0024.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0024.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0024.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0024.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0024.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0024.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0024.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0024.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0024.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0024.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0024.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0024.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0024.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0024.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0024.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0024.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0024.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0024.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0024.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0024.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0024.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0024.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0024.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0024.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0024.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0024.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0024.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0024.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0024.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0024.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0024.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0024.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0024.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0024.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0024.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0024.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0024.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0024.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0024.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0024.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0024.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0024.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0024.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0024.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0024.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0024.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0024.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0024.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0024.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0024.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0024.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0024.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0024.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0024.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0024.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0024.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0024.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0024.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0024.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0024.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0024.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0024.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0024.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0024.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0024.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0024.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0024.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0024.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0024.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0024.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0024.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0024.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0024.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0024.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0024.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0024.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0024.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0024.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0024.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0024.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0024.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0024.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0024.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0024.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0024.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0024.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0024.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0025.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0025.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0025.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0025.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0025.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0025.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0025.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0025.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0025.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0025.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0025.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0025.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0025.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0025.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0025.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0025.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0025.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0025.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0025.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0025.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0025.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0025.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0025.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0025.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0025.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0025.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0025.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0025.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0025.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0025.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0025.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0025.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0025.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0025.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0025.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0025.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0025.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0025.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0025.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0025.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0025.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0025.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0025.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0025.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0025.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0025.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0025.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0025.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0025.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0025.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0025.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0025.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0025.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0025.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0025.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0025.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0025.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0025.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0025.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0025.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0025.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0025.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0025.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0025.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0025.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0025.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0025.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0025.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0025.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0025.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0025.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0025.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0025.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0025.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0025.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0025.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0025.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0025.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0025.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0025.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0025.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0025.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0025.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0025.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0025.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0025.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0025.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0025.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0025.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0025.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0025.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0025.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0025.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0025.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0025.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0025.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0025.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0025.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0025.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0025.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0025.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0025.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0025.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0025.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0025.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0025.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0025.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0025.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0025.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0025.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0025.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0025.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0025.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0025.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0025.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0026.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0026.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0026.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0026.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0026.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0026.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0026.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0026.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0026.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0026.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0026.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0026.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0026.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0026.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0026.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0026.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0026.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0026.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0026.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0026.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0026.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0026.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0026.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0026.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0026.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0026.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0026.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0026.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0026.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0026.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0026.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0026.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0026.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0026.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0026.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0026.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0026.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0026.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0026.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0026.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0026.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0026.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0026.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0026.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0026.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0026.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0026.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0026.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0026.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0026.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0026.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0026.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0026.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0026.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0026.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0026.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0026.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0026.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0026.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0026.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0026.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0026.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0026.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0026.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0026.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0026.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0026.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0026.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0026.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0026.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0026.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0026.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0026.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0026.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0026.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0026.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0026.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0026.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0026.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0026.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0026.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0026.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0026.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0026.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0026.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0026.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0026.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0026.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0026.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0026.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0026.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0026.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0026.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0026.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0026.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0026.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0026.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0026.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0026.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0026.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0026.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0026.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0026.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0026.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0026.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0026.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0026.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0026.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0026.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0026.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0026.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0026.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0026.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0026.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0026.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0027.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0027.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0027.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0027.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0027.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0027.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0027.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0027.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0027.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0027.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0027.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0027.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0027.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0027.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0027.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0027.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0027.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0027.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0027.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0027.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0027.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0027.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0027.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0027.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0027.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0027.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0027.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0027.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0027.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0027.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0027.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0027.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0027.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0027.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0027.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0027.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0027.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0027.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0027.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0027.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0027.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0027.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0027.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0027.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0027.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0027.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0027.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0027.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0027.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0027.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0027.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0027.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0027.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0027.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0027.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0027.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0027.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0027.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0027.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0027.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0027.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0027.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0027.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0027.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0027.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0027.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0027.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0027.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0027.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0027.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0027.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0027.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0027.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0027.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0027.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0027.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0027.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0027.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0027.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0027.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0027.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0027.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0027.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0027.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0027.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0027.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0027.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0027.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0027.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0027.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0027.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0027.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0027.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0027.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0027.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0027.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0027.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0027.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0027.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0027.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0027.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0027.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0027.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0027.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0027.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0027.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0027.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0027.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0027.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0027.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0027.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0027.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0027.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0027.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0027.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0028.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0028.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0028.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0028.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0028.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0028.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0028.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0028.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0028.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0028.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0028.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0028.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0028.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0028.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0028.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0028.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0028.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0028.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0028.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0028.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0028.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0028.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0028.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0028.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0028.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0028.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0028.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0028.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0028.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0028.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0028.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0028.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0028.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0028.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0028.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0028.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0028.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0028.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0028.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0028.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0028.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0028.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0028.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0028.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0028.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0028.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0028.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0028.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0028.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0028.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0028.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0028.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0028.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0028.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0028.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0028.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0028.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0028.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0028.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0028.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0028.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0028.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0028.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0028.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0028.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0028.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0028.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0028.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0028.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0028.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0028.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0028.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0028.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0028.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0028.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0028.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0028.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0028.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0028.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0028.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0028.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0028.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0028.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0028.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0028.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0028.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0028.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0028.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0028.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0028.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0028.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0028.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0028.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0028.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0028.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0028.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0028.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0028.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0028.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0028.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0028.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0028.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0028.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0028.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0028.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0028.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0028.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0028.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0028.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0028.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0028.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0028.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0028.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0028.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0028.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0029.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0029.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0029.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0029.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0029.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0029.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0029.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0029.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0029.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0029.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0029.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0029.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0029.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0029.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0029.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0029.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0029.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0029.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0029.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0029.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0029.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0029.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0029.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0029.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0029.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0029.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0029.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0029.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0029.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0029.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0029.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0029.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0029.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0029.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0029.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0029.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0029.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0029.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0029.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0029.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0029.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0029.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0029.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0029.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0029.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0029.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0029.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0029.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0029.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0029.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0029.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0029.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0029.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0029.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0029.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0029.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0029.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0029.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0029.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0029.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0029.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0029.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0029.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0029.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0029.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0029.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0029.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0029.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0029.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0029.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0029.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0029.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0029.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0029.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0029.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0029.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0029.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0029.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0029.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0029.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0029.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0029.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0029.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0029.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0029.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0029.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0029.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0029.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0029.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0029.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0029.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0029.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0029.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0029.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0029.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0029.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0029.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0029.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0029.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0029.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0029.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0029.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0029.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0029.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0029.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0029.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0029.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0029.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0029.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0029.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0029.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0029.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0029.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0029.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0029.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0030.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0030.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0030.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0030.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0030.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0030.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0030.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0030.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0030.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0030.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0030.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0030.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0030.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0030.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0030.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0030.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0030.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0030.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0030.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0030.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0030.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0030.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0030.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0030.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0030.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0030.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0030.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0030.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0030.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0030.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0030.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0030.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0030.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0030.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0030.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0030.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0030.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0030.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0030.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0030.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0030.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0030.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0030.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0030.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0030.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0030.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0030.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0030.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0030.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0030.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0030.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0030.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0030.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0030.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0030.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0030.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0030.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0030.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0030.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0030.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0030.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0030.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0030.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0030.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0030.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0030.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0030.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0030.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0030.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0030.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0030.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0030.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0030.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0030.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0030.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0030.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0030.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0030.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0030.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0030.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0030.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0030.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0030.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0030.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0030.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0030.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0030.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0030.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0030.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0030.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0030.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0030.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0030.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0030.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0030.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0030.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0030.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0030.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0030.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0030.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0030.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0030.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0030.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0030.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0030.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0030.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0030.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0030.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0030.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0030.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0030.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0030.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0030.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0030.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0030.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 130601.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' 130601.0031.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 130601.0031.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 130601.0031.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 130601.0031.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 130601.0031.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 130601.0031.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 130601.0031.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 130601.0031.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 130601.0031.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 130601.0031.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 130601.0031.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 130601.0031.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 130601.0031.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 130601.0031.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 130601.0031.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 130601.0031.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 130601.0031.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 130601.0031.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 130601.0031.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 130601.0031.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 130601.0031.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 130601.0031.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 130601.0031.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 130601.0031.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 130601.0031.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 130601.0031.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 130601.0031.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 130601.0031.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 130601.0031.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 130601.0031.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 130601.0031.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 130601.0031.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 130601.0031.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 130601.0031.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 130601.0031.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 130601.0031.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 130601.0031.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 130601.0031.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 130601.0031.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 130601.0031.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 130601.0031.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 130601.0031.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 130601.0031.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 130601.0031.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 130601.0031.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 130601.0031.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 130601.0031.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 130601.0031.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 130601.0031.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 130601.0031.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 130601.0031.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 130601.0031.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 130601.0031.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 130601.0031.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 130601.0031.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 130601.0031.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 130601.0031.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 130601.0031.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 130601.0031.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 130601.0031.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 130601.0031.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 130601.0031.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 130601.0031.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 130601.0031.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 130601.0031.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 130601.0031.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 130601.0031.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 130601.0031.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 130601.0031.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 130601.0031.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 130601.0031.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 130601.0031.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 130601.0031.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 130601.0031.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 130601.0031.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 130601.0031.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 130601.0031.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 130601.0031.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 130601.0031.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 130601.0031.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 130601.0031.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 130601.0031.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 130601.0031.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 130601.0031.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 130601.0031.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 130601.0031.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 130601.0031.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 130601.0031.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 130601.0031.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 130601.0031.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 130601.0031.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 130601.0031.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 130601.0031.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 130601.0031.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 130601.0031.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 130601.0031.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 130601.0031.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 130601.0031.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 130601.0031.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 130601.0031.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 130601.0031.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 130601.0031.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 130601.0031.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 130601.0031.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 130601.0031.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 130601.0031.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 130601.0031.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 130601.0031.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 130601.0031.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 130601.0031.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 130601.0031.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 130601.0031.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 130601.0031.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 130601.0031.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 130601.0031.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10812.02, w2 = 10583.98, dw = -0.13821, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10611.83, w2 = 10387.99, dw = -0.13566, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10418.91, w2 = 10199.14, dw = -0.1332, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10232.88, w2 = 10017.03, dw = -0.13082, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.38, w2 = 9841.305, dw = -0.12853, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9880.07, w2 = 9671.642, dw = -0.12632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.632, w2 = 9507.732, dw = -0.12418, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.774, w2 = 9349.284, dw = -0.12212, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9394.223, w2 = 9196.032, dw = -0.12012, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.721, w2 = 9047.724, dw = -0.11818, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9096.028, w2 = 8904.123, dw = -0.11631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.918, w2 = 8765.011, dw = -0.11449, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8816.181, w2 = 8630.178, dw = -0.11273, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.617, w2 = 8499.432, dw = -0.11102, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8553.04, w2 = 8372.588, dw = -0.10936, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8427.273, w2 = 8249.475, dw = -0.10776, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8305.152, w2 = 8129.931, dw = -0.10619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.519, w2 = 8013.802, dw = -0.10468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8071.228, w2 = 7900.944, dw = -0.1032, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7959.139, w2 = 7791.221, dw = -0.10177, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7850.121, w2 = 7684.505, dw = -0.10037, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7744.049, w2 = 7580.672, dw = -0.09902, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.805, w2 = 7479.609, dw = -0.09769, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7540.278, w2 = 7381.205, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.362, w2 = 7285.357, dw = -0.09515, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.957, w2 = 7191.967, dw = -0.09393, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.967, w2 = 7100.941, dw = -0.09274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.301, w2 = 7012.19, dw = -0.09158, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.874, w2 = 6925.631, dw = -0.09045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.604, w2 = 6841.183, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.413, w2 = 6758.77, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6822.226, w2 = 6678.32, dw = -0.08722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.973, w2 = 6599.762, dw = -0.08619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.586, w2 = 6523.031, dw = -0.08518, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6587.001, w2 = 6448.064, dw = -0.0842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6512.157, w2 = 6374.801, dw = -0.08325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.995, w2 = 6303.184, dw = -0.08231, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.458, w2 = 6233.159, dw = -0.08139, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.494, w2 = 6164.673, dw = -0.0805, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6229.051, w2 = 6097.676, dw = -0.07962, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6162.08, w2 = 6032.12, dw = -0.07876, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.534, w2 = 5967.958, dw = -0.07792, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.368, w2 = 5905.147, dw = -0.0771, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.539, w2 = 5843.645, dw = -0.0763, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5908.005, w2 = 5783.411, dw = -0.07551, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.727, w2 = 5724.407, dw = -0.07474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.667, w2 = 5666.594, dw = -0.07398, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.789, w2 = 5609.938, dw = -0.07324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5674.056, w2 = 5554.404, dw = -0.07252, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.436, w2 = 5499.958, dw = -0.0718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.896, w2 = 5446.57, dw = -0.07111, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.405, w2 = 5394.209, dw = -0.07042, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.934, w2 = 5342.845, dw = -0.06975, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.452, w2 = 5292.451, dw = -0.06909, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.933, w2 = 5242.998, dw = -0.06845, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.349, w2 = 5194.462, dw = -0.06781, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.675, w2 = 5146.816, dw = -0.06719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.887, w2 = 5100.036, dw = -0.06658, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.959, w2 = 5054.1, dw = -0.06598, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.87, w2 = 5008.984, dw = -0.06539, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.596, w2 = 4964.667, dw = -0.06481, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5027.117, w2 = 4921.127, dw = -0.06424, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.412, w2 = 4878.345, dw = -0.06368, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.46, w2 = 4836.3, dw = -0.06313, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.243, w2 = 4794.974, dw = -0.06259, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.741, w2 = 4754.349, dw = -0.06206, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.937, w2 = 4714.407, dw = -0.06153, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.813, w2 = 4675.131, dw = -0.06102, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.352, w2 = 4636.504, dw = -0.06051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.538, w2 = 4598.511, dw = -0.06002, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.356, w2 = 4561.135, dw = -0.05953, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.789, w2 = 4524.363, dw = -0.05905, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.823, w2 = 4488.179, dw = -0.05857, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.445, w2 = 4452.57, dw = -0.05811, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.639, w2 = 4417.522, dw = -0.05765, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.393, w2 = 4383.022, dw = -0.05719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.693, w2 = 4349.057, dw = -0.05675, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.527, w2 = 4315.614, dw = -0.05631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.883, w2 = 4282.683, dw = -0.05588, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.749, w2 = 4250.251, dw = -0.05545, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4309.113, w2 = 4218.306, dw = -0.05503, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.964, w2 = 4186.839, dw = -0.05462, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.291, w2 = 4155.838, dw = -0.05421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4214.085, w2 = 4125.294, dw = -0.05381, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.333, w2 = 4095.196, dw = -0.05342, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4153.028, w2 = 4065.534, dw = -0.05303, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.158, w2 = 4036.299, dw = -0.05264, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.715, w2 = 4007.483, dw = -0.05226, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.69, w2 = 3979.075, dw = -0.05189, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4036.073, w2 = 3951.068, dw = -0.05152, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.857, w2 = 3923.453, dw = -0.05115, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3980.032, w2 = 3896.222, dw = -0.05079, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.591, w2 = 3869.367, dw = -0.05044, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.526, w2 = 3842.88, dw = -0.05009, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.83, w2 = 3816.754, dw = -0.04974, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.493, w2 = 3790.981, dw = -0.0494, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.51, w2 = 3765.555, dw = -0.04906, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.874, w2 = 3740.468, dw = -0.04873, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.577, w2 = 3715.714, dw = -0.0484, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.612, w2 = 3691.286, dw = -0.04808, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3745.974, w2 = 3667.178, dw = -0.04776, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.656, w2 = 3643.383, dw = -0.04744, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.651, w2 = 3619.896, dw = -0.04712, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.954, w2 = 3596.71, dw = -0.04681, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.558, w2 = 3573.82, dw = -0.04651, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.459, w2 = 3551.221, dw = -0.0462, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.65, w2 = 3528.906, dw = -0.04591, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.125, w2 = 3506.871, dw = -0.04561, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.88, w2 = 3485.11, dw = -0.04532, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.91, w2 = 3463.618, dw = -0.04503, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.209, w2 = 3442.39, dw = -0.04474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.772, w2 = 3421.422, dw = -0.04445, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.595, w2 = 3400.709, dw = -0.04417, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.673, w2 = 3380.245, dw = -0.0439, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3432., w2 = 3360.028, dw = -0.04362, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10812.11, w2 = 10583.99, dw = -0.13826, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10611.91, w2 = 10388.01, dw = -0.1357, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10418.98, w2 = 10199.15, dw = -0.13323, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10232.95, w2 = 10017.04, dw = -0.13085, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.44, w2 = 9841.32, dw = -0.12856, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9880.122, w2 = 9671.657, dw = -0.12634, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.678, w2 = 9507.746, dw = -0.1242, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.815, w2 = 9349.298, dw = -0.12213, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9394.259, w2 = 9196.045, dw = -0.12013, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.752, w2 = 9047.736, dw = -0.11819, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9096.055, w2 = 8904.135, dw = -0.11632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8953.942, w2 = 8765.021, dw = -0.1145, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8816.202, w2 = 8630.188, dw = -0.11274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.635, w2 = 8499.441, dw = -0.11103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8553.055, w2 = 8372.596, dw = -0.10937, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8427.287, w2 = 8249.483, dw = -0.10776, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8305.163, w2 = 8129.937, dw = -0.1062, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.529, w2 = 8013.808, dw = -0.10468, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8071.236, w2 = 7900.949, dw = -0.1032, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7959.146, w2 = 7791.226, dw = -0.10177, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7850.127, w2 = 7684.508, dw = -0.10037, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7744.054, w2 = 7580.675, dw = -0.09902, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.81, w2 = 7479.611, dw = -0.0977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7540.282, w2 = 7381.207, dw = -0.09641, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.366, w2 = 7285.358, dw = -0.09516, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7346.961, w2 = 7191.967, dw = -0.09394, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7253.97, w2 = 7100.941, dw = -0.09275, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.305, w2 = 7012.19, dw = -0.09158, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.878, w2 = 6925.631, dw = -0.09045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.608, w2 = 6841.183, dw = -0.08935, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.417, w2 = 6758.77, dw = -0.08827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6822.23, w2 = 6678.319, dw = -0.08722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6741.978, w2 = 6599.762, dw = -0.08619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.592, w2 = 6523.031, dw = -0.08519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6587.007, w2 = 6448.064, dw = -0.08421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6512.164, w2 = 6374.801, dw = -0.08325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6439.002, w2 = 6303.185, dw = -0.08231, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.466, w2 = 6233.16, dw = -0.0814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.503, w2 = 6164.674, dw = -0.0805, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6229.06, w2 = 6097.677, dw = -0.07963, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6162.09, w2 = 6032.121, dw = -0.07877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.544, w2 = 5967.96, dw = -0.07793, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.379, w2 = 5905.15, dw = -0.07711, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.55, w2 = 5843.648, dw = -0.0763, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5908.017, w2 = 5783.415, dw = -0.07552, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.74, w2 = 5724.411, dw = -0.07475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.599, dw = -0.07399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.802, w2 = 5609.943, dw = -0.07325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.409, dw = -0.07252, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.964, dw = -0.07181, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.912, w2 = 5446.577, dw = -0.07111, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.421, w2 = 5394.216, dw = -0.07043, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.95, w2 = 5342.853, dw = -0.06976, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.468, w2 = 5292.459, dw = -0.0691, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.949, w2 = 5243.007, dw = -0.06845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.366, w2 = 5194.47, dw = -0.06782, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.692, w2 = 5146.825, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.903, w2 = 5100.046, dw = -0.06658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5162.976, w2 = 5054.109, dw = -0.06598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.887, w2 = 5008.993, dw = -0.06539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.613, w2 = 4964.676, dw = -0.06481, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5027.134, w2 = 4921.136, dw = -0.06424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.428, w2 = 4878.354, dw = -0.06368, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.476, w2 = 4836.309, dw = -0.06313, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.258, w2 = 4794.983, dw = -0.06259, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.755, w2 = 4754.357, dw = -0.06206, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.951, w2 = 4714.414, dw = -0.06154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.826, w2 = 4675.137, dw = -0.06102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.364, w2 = 4636.51, dw = -0.06052, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.55, w2 = 4598.515, dw = -0.06002, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.366, w2 = 4561.138, dw = -0.05953, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.798, w2 = 4524.365, dw = -0.05905, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.832, w2 = 4488.179, dw = -0.05858, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.452, w2 = 4452.568, dw = -0.05811, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.645, w2 = 4417.518, dw = -0.05765, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.397, w2 = 4383.016, dw = -0.0572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.048, dw = -0.05676, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.529, w2 = 4315.603, dw = -0.05632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.883, w2 = 4282.669, dw = -0.05589, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.746, w2 = 4250.234, dw = -0.05546, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4309.108, w2 = 4218.286, dw = -0.05504, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.957, w2 = 4186.816, dw = -0.05463, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.283, w2 = 4155.811, dw = -0.05423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4214.074, w2 = 4125.262, dw = -0.05382, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.32, w2 = 4095.16, dw = -0.05343, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4153.012, w2 = 4065.493, dw = -0.05304, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4123.14, w2 = 4036.254, dw = -0.05266, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.694, w2 = 4007.432, dw = -0.05228, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.666, w2 = 3979.019, dw = -0.05191, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4036.046, w2 = 3951.006, dw = -0.05154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.827, w2 = 3923.385, dw = -0.05118, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3979.999, w2 = 3896.147, dw = -0.05082, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.555, w2 = 3869.285, dw = -0.05047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.487, w2 = 3842.791, dw = -0.05012, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.786, w2 = 3816.658, dw = -0.04978, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.447, w2 = 3790.877, dw = -0.04944, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.46, w2 = 3765.442, dw = -0.0491, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.82, w2 = 3740.347, dw = -0.04877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.519, w2 = 3715.584, dw = -0.04845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.55, w2 = 3691.146, dw = -0.04812, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.908, w2 = 3667.028, dw = -0.04781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.585, w2 = 3643.223, dw = -0.04749, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.576, w2 = 3619.725, dw = -0.04718, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.875, w2 = 3596.528, dw = -0.04688, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.475, w2 = 3573.627, dw = -0.04657, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.37, w2 = 3551.015, dw = -0.04628, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.556, w2 = 3528.688, dw = -0.04598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3582.027, w2 = 3506.639, dw = -0.04569, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.777, w2 = 3484.865, dw = -0.0454, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.801, w2 = 3463.359, dw = -0.04512, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.095, w2 = 3442.117, dw = -0.04484, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.653, w2 = 3421.133, dw = -0.04456, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.47, w2 = 3400.404, dw = -0.04428, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.542, w2 = 3379.925, dw = -0.04401, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.864, w2 = 3359.69, dw = -0.04374, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10812.1, w2 = 10583.95, dw = -0.13827, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10611.9, w2 = 10387.97, dw = -0.13571, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10418.98, w2 = 10199.12, dw = -0.13325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10232.95, w2 = 10017.01, dw = -0.13087, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10053.44, w2 = 9841.297, dw = -0.12857, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9880.123, w2 = 9671.638, dw = -0.12635, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.68, w2 = 9507.731, dw = -0.12421, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.819, w2 = 9349.286, dw = -0.12214, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9394.264, w2 = 9196.036, dw = -0.12014, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.759, w2 = 9047.729, dw = -0.1182, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9096.062, w2 = 8904.131, dw = -0.11632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8953.95, w2 = 8765.019, dw = -0.1145, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8816.21, w2 = 8630.187, dw = -0.11274, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.442, dw = -0.11103, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8553.064, w2 = 8372.598, dw = -0.10937, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8427.296, w2 = 8249.486, dw = -0.10776, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8305.172, w2 = 8129.941, dw = -0.1062, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.538, w2 = 8013.812, dw = -0.10468, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8071.245, w2 = 7900.955, dw = -0.10321, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7959.155, w2 = 7791.232, dw = -0.10177, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7850.135, w2 = 7684.515, dw = -0.10038, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7744.062, w2 = 7580.682, dw = -0.09902, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.817, w2 = 7479.618, dw = -0.0977, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7540.289, w2 = 7381.214, dw = -0.09641, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7442.372, w2 = 7285.365, dw = -0.09516, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7346.966, w2 = 7191.974, dw = -0.09393, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7253.975, w2 = 7100.948, dw = -0.09274, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7163.309, w2 = 7012.197, dw = -0.09158, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.882, w2 = 6925.637, dw = -0.09045, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.189, dw = -0.08935, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.419, w2 = 6758.776, dw = -0.08827, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6822.232, w2 = 6678.325, dw = -0.08722, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6741.979, w2 = 6599.767, dw = -0.08619, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.592, w2 = 6523.035, dw = -0.08519, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6587.007, w2 = 6448.068, dw = -0.08421, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6512.162, w2 = 6374.805, dw = -0.08325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6439., w2 = 6303.188, dw = -0.08231, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.464, w2 = 6233.163, dw = -0.08139, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.5, w2 = 6164.677, dw = -0.0805, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6229.057, w2 = 6097.679, dw = -0.07962, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6162.086, w2 = 6032.123, dw = -0.07877, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.54, w2 = 5967.961, dw = -0.07793, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.374, w2 = 5905.151, dw = -0.0771, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.545, w2 = 5843.649, dw = -0.0763, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5908.011, w2 = 5783.415, dw = -0.07551, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.734, w2 = 5724.41, dw = -0.07474, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.674, w2 = 5666.598, dw = -0.07399, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.795, w2 = 5609.942, dw = -0.07324, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5674.063, w2 = 5554.408, dw = -0.07252, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.443, w2 = 5499.963, dw = -0.07181, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.904, w2 = 5446.575, dw = -0.07111, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.413, w2 = 5394.214, dw = -0.07042, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5457.942, w2 = 5342.851, dw = -0.06975, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.46, w2 = 5292.457, dw = -0.06909, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5355.941, w2 = 5243.004, dw = -0.06845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.358, w2 = 5194.468, dw = -0.06781, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.684, w2 = 5146.822, dw = -0.06719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.896, w2 = 5100.043, dw = -0.06658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5162.969, w2 = 5054.107, dw = -0.06598, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.879, w2 = 5008.991, dw = -0.06539, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.606, w2 = 4964.674, dw = -0.06481, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.134, dw = -0.06424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.422, w2 = 4878.352, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.47, w2 = 4836.307, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4898.253, w2 = 4794.982, dw = -0.06259, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.751, w2 = 4754.356, dw = -0.06206, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.947, w2 = 4714.414, dw = -0.06153, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.823, w2 = 4675.137, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.362, w2 = 4636.51, dw = -0.06052, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.548, w2 = 4598.516, dw = -0.06002, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.365, w2 = 4561.14, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.798, w2 = 4524.367, dw = -0.05905, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.833, w2 = 4488.182, dw = -0.05858, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.454, w2 = 4452.572, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.648, w2 = 4417.523, dw = -0.05765, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.401, w2 = 4383.021, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.701, w2 = 4349.054, dw = -0.05676, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.535, w2 = 4315.61, dw = -0.05632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.89, w2 = 4282.677, dw = -0.05589, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.755, w2 = 4250.242, dw = -0.05546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4309.119, w2 = 4218.296, dw = -0.05504, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4276.969, w2 = 4186.826, dw = -0.05463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.823, dw = -0.05423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4214.088, w2 = 4125.275, dw = -0.05383, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.336, w2 = 4095.174, dw = -0.05343, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4153.029, w2 = 4065.508, dw = -0.05304, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4123.159, w2 = 4036.27, dw = -0.05266, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.715, w2 = 4007.449, dw = -0.05228, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.688, w2 = 3979.038, dw = -0.05191, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4036.07, w2 = 3951.026, dw = -0.05154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.853, w2 = 3923.406, dw = -0.05118, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3980.027, w2 = 3896.17, dw = -0.05082, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.585, w2 = 3869.309, dw = -0.05047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.518, w2 = 3842.817, dw = -0.05012, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.82, w2 = 3816.684, dw = -0.04978, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.482, w2 = 3790.905, dw = -0.04944, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.497, w2 = 3765.472, dw = -0.04911, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.859, w2 = 3740.378, dw = -0.04878, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.56, w2 = 3715.617, dw = -0.04845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.594, w2 = 3691.181, dw = -0.04813, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.954, w2 = 3667.064, dw = -0.04781, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.633, w2 = 3643.261, dw = -0.0475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.626, w2 = 3619.764, dw = -0.04719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.927, w2 = 3596.569, dw = -0.04688, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.529, w2 = 3573.67, dw = -0.04658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.427, w2 = 3551.06, dw = -0.04628, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.615, w2 = 3528.734, dw = -0.04599, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3582.088, w2 = 3506.687, dw = -0.0457, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.841, w2 = 3484.914, dw = -0.04541, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.867, w2 = 3463.41, dw = -0.04513, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3516.163, w2 = 3442.17, dw = -0.04484, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.724, w2 = 3421.188, dw = -0.04457, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.543, w2 = 3400.461, dw = -0.04429, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.618, w2 = 3379.983, dw = -0.04402, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3431.942, w2 = 3359.751, dw = -0.04375, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584., dw = -0.1383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.98, w2 = 10388.02, dw = -0.13573, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10419.04, w2 = 10199.16, dw = -0.13326, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10233., w2 = 10017.05, dw = -0.13088, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.329, dw = -0.12858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9880.159, w2 = 9671.667, dw = -0.12636, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.71, w2 = 9507.757, dw = -0.12421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.842, w2 = 9349.309, dw = -0.12214, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9394.281, w2 = 9196.057, dw = -0.12014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.771, w2 = 9047.748, dw = -0.1182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9096.071, w2 = 8904.147, dw = -0.11632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.956, w2 = 8765.033, dw = -0.1145, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8816.213, w2 = 8630.2, dw = -0.11274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.644, w2 = 8499.452, dw = -0.11103, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8553.063, w2 = 8372.607, dw = -0.10937, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8427.293, w2 = 8249.493, dw = -0.10776, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8305.168, w2 = 8129.948, dw = -0.10619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.533, w2 = 8013.818, dw = -0.10468, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8071.24, w2 = 7900.959, dw = -0.1032, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7959.149, w2 = 7791.235, dw = -0.10177, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7850.13, w2 = 7684.517, dw = -0.10037, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7744.057, w2 = 7580.684, dw = -0.09901, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.812, w2 = 7479.619, dw = -0.09769, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7540.285, w2 = 7381.214, dw = -0.09641, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.369, w2 = 7285.365, dw = -0.09515, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.963, w2 = 7191.974, dw = -0.09393, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.973, w2 = 7100.947, dw = -0.09274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.308, w2 = 7012.196, dw = -0.09158, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.881, w2 = 6925.637, dw = -0.09045, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.611, w2 = 6841.188, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.42, w2 = 6758.775, dw = -0.08827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6822.234, w2 = 6678.324, dw = -0.08722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.981, w2 = 6599.766, dw = -0.08619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.595, w2 = 6523.035, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6587.011, w2 = 6448.068, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6512.167, w2 = 6374.804, dw = -0.08325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6439.005, w2 = 6303.188, dw = -0.08231, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.469, w2 = 6233.163, dw = -0.0814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.506, w2 = 6164.677, dw = -0.0805, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6229.063, w2 = 6097.68, dw = -0.07963, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6162.093, w2 = 6032.124, dw = -0.07877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.547, w2 = 5967.962, dw = -0.07793, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.381, w2 = 5905.152, dw = -0.07711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.552, w2 = 5843.65, dw = -0.0763, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5908.019, w2 = 5783.417, dw = -0.07552, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.741, w2 = 5724.412, dw = -0.07474, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.681, w2 = 5666.6, dw = -0.07399, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.803, w2 = 5609.945, dw = -0.07325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5674.071, w2 = 5554.411, dw = -0.07252, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.451, w2 = 5499.966, dw = -0.07181, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.911, w2 = 5446.579, dw = -0.07111, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.42, w2 = 5394.218, dw = -0.07043, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.948, w2 = 5342.855, dw = -0.06975, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.466, w2 = 5292.461, dw = -0.06909, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.946, w2 = 5243.009, dw = -0.06845, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.362, w2 = 5194.473, dw = -0.06781, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.688, w2 = 5146.827, dw = -0.06719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.899, w2 = 5100.048, dw = -0.06658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.971, w2 = 5054.112, dw = -0.06598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.881, w2 = 5008.996, dw = -0.06538, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.607, w2 = 4964.679, dw = -0.0648, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5027.127, w2 = 4921.139, dw = -0.06424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.421, w2 = 4878.357, dw = -0.06368, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.469, w2 = 4836.312, dw = -0.06313, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.251, w2 = 4794.986, dw = -0.06258, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.361, dw = -0.06205, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.944, w2 = 4714.418, dw = -0.06153, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.819, w2 = 4675.141, dw = -0.06102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.358, w2 = 4636.513, dw = -0.06051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.543, w2 = 4598.519, dw = -0.06001, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.36, w2 = 4561.142, dw = -0.05953, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.793, w2 = 4524.369, dw = -0.05905, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.827, w2 = 4488.183, dw = -0.05857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.448, w2 = 4452.572, dw = -0.05811, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.642, w2 = 4417.522, dw = -0.05765, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.396, w2 = 4383.02, dw = -0.0572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.696, w2 = 4349.052, dw = -0.05675, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.53, w2 = 4315.607, dw = -0.05632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.673, dw = -0.05589, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.237, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.289, dw = -0.05505, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.818, dw = -0.05464, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.814, dw = -0.05423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.265, dw = -0.05383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.162, dw = -0.05344, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4153.035, w2 = 4065.495, dw = -0.05305, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4123.166, w2 = 4036.255, dw = -0.05267, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.725, w2 = 4007.432, dw = -0.0523, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.701, w2 = 3979.019, dw = -0.05193, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.005, dw = -0.05156, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.383, dw = -0.05121, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3980.049, w2 = 3896.145, dw = -0.05085, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.282, dw = -0.0505, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.787, dw = -0.05016, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.855, w2 = 3816.652, dw = -0.04982, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.522, w2 = 3790.87, dw = -0.04949, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.435, dw = -0.04916, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.338, dw = -0.04883, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.573, dw = -0.04851, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.657, w2 = 3691.134, dw = -0.0482, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3746.023, w2 = 3667.015, dw = -0.04788, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.71, w2 = 3643.208, dw = -0.04758, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.711, w2 = 3619.708, dw = -0.04727, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3674.019, w2 = 3596.51, dw = -0.04698, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.63, w2 = 3573.606, dw = -0.04668, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.537, w2 = 3550.993, dw = -0.04639, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.735, w2 = 3528.663, dw = -0.0461, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3582.218, w2 = 3506.613, dw = -0.04582, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.981, w2 = 3484.836, dw = -0.04554, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3538.019, w2 = 3463.327, dw = -0.04527, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.326, w2 = 3442.083, dw = -0.045, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.898, w2 = 3421.097, dw = -0.04473, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.731, w2 = 3400.365, dw = -0.04446, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.819, w2 = 3379.882, dw = -0.0442, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3432.157, w2 = 3359.645, dw = -0.04395, 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 Combining spectra... Dec 10 11:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0021.ec.fits[ 1] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 2] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 3] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 4] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 5] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 6] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 7] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 8] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 9] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 10] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 11] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 12] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 13] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 14] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 15] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 16] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 17] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 18] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 19] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 20] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 21] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 22] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 23] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 24] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 25] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 26] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 27] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 28] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 29] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 30] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 31] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 32] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 33] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 34] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 35] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 36] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 37] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 38] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 39] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 40] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 41] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 42] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 43] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 44] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 45] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 46] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 47] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 48] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 49] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 50] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 51] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 52] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 53] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 54] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 55] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 56] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 57] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 58] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 59] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 60] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 61] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 62] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 63] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 64] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 65] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 66] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 67] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 68] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 69] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 70] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 71] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 72] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 73] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 74] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 75] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 76] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 77] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 78] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 79] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 80] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 81] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 82] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 83] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 84] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 85] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 86] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 87] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 88] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 89] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 90] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 91] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 92] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 93] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 94] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 95] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 96] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 97] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 98] 600.0 1.000 0. 0.009 130601.0021.ec.fits[ 99] 600.0 1.000 0. 0.009 130601.0021.ec.fits[100] 600.0 1.000 0. 0.009 130601.0021.ec.fits[101] 600.0 1.000 0. 0.009 130601.0021.ec.fits[102] 600.0 1.000 0. 0.009 130601.0021.ec.fits[103] 600.0 1.000 0. 0.009 130601.0021.ec.fits[104] 600.0 1.000 0. 0.009 130601.0021.ec.fits[105] 600.0 1.000 0. 0.009 130601.0021.ec.fits[106] 600.0 1.000 0. 0.009 130601.0021.ec.fits[107] 600.0 1.000 0. 0.009 130601.0021.ec.fits[108] 600.0 1.000 0. 0.009 130601.0021.ec.fits[109] 600.0 1.000 0. 0.009 130601.0021.ec.fits[110] 600.0 1.000 0. 0.009 130601.0021.ec.fits[111] 600.0 1.000 0. 0.009 130601.0021.ec.fits[112] 600.0 1.000 0. 0.009 130601.0021.ec.fits[113] 600.0 1.000 0. 0.009 130601.0021.ec.fits[114] 600.0 1.000 0. 0.009 130601.0021.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum130601.0021.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[100] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[101] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[102] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[103] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[104] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[105] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[106] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[107] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[108] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[109] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[110] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[111] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[112] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[113] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[114] 1200.0 1.000 0. 0.009 130601.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum130601.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0023.ec.fits[ 1] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 2] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 3] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 4] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 5] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 6] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 7] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 8] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 9] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 10] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 11] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 12] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 13] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 14] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 15] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 16] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 17] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 18] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 19] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 20] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 21] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 22] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 23] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 24] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 25] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 26] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 27] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 28] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 29] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 30] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 31] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 32] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 33] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 34] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 35] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 36] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 37] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 38] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 39] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 40] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 41] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 42] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 43] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 44] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 45] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 46] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 47] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 48] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 49] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 50] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 51] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 52] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 53] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 54] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 55] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 56] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 57] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 58] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 59] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 60] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 61] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 62] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 63] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 64] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 65] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 66] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 67] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 68] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 69] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 70] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 71] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 72] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 73] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 74] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 75] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 76] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 77] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 78] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 79] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 80] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 81] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 82] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 83] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 84] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 85] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 86] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 87] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 88] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 89] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 90] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 91] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 92] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 93] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 94] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 95] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 96] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 97] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 98] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[ 99] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[100] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[101] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[102] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[103] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[104] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[105] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[106] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[107] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[108] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[109] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[110] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[111] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[112] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[113] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[114] 1500.0 1.000 0. 0.009 130601.0023.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum130601.0023.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0024.ec.fits[ 1] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 2] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 3] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 4] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 5] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 6] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 7] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 8] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 9] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 10] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 11] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 12] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 13] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 14] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 15] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 16] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 17] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 18] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 19] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 20] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 21] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 22] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 23] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 24] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 25] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 26] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 27] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 28] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 29] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 30] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 31] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 32] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 33] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 34] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 35] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 36] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 37] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 38] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 39] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 40] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 41] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 42] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 43] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 44] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 45] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 46] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 47] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 48] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 49] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 50] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 51] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 52] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 53] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 54] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 55] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 56] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 57] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 58] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 59] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 60] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 61] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 62] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 63] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 64] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 65] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 66] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 67] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 68] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 69] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 70] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 71] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 72] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 73] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 74] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 75] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 76] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 77] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 78] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 79] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 80] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 81] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 82] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 83] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 84] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 85] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 86] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 87] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 88] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 89] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 90] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 91] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 92] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 93] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 94] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 95] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 96] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 97] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 98] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[ 99] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[100] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[101] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[102] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[103] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[104] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[105] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[106] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[107] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[108] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[109] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[110] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[111] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[112] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[113] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[114] 1200.0 1.000 0. 0.009 130601.0024.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum130601.0024.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 56] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 57] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 58] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 59] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 60] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 61] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 62] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 63] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 64] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 65] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 66] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 67] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 68] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 69] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 70] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 71] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 72] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 73] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 74] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[100] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[101] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[102] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[103] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[104] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[105] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[106] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[107] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[108] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[109] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[110] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[111] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[112] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[113] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[114] 1500.0 1.000 0. 0.009 130601.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum130601.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0026.ec.fits[ 1] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 2] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 3] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 4] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 5] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 6] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 7] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 8] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 9] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 10] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 11] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 12] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 13] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 14] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 15] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 16] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 17] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 18] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 19] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 20] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 21] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 22] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 23] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 24] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 25] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 26] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 27] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 28] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 29] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 30] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 31] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 32] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 33] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 34] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 35] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 36] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 37] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 38] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 39] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 40] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 41] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 42] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 43] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 44] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 45] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 46] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 47] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 48] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 49] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 50] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 51] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 52] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 53] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 54] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 55] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 56] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 57] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 58] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 59] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 60] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 61] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 62] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 63] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 64] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 65] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 66] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 67] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 68] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 69] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 70] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 71] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 72] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 73] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 74] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 75] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 76] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 77] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 78] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 79] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 80] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 81] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 82] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 83] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 84] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 85] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 86] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 87] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 88] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 89] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 90] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 91] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 92] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 93] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 94] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 95] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 96] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 97] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 98] 900.0 1.000 0. 0.009 130601.0026.ec.fits[ 99] 900.0 1.000 0. 0.009 130601.0026.ec.fits[100] 900.0 1.000 0. 0.009 130601.0026.ec.fits[101] 900.0 1.000 0. 0.009 130601.0026.ec.fits[102] 900.0 1.000 0. 0.009 130601.0026.ec.fits[103] 900.0 1.000 0. 0.009 130601.0026.ec.fits[104] 900.0 1.000 0. 0.009 130601.0026.ec.fits[105] 900.0 1.000 0. 0.009 130601.0026.ec.fits[106] 900.0 1.000 0. 0.009 130601.0026.ec.fits[107] 900.0 1.000 0. 0.009 130601.0026.ec.fits[108] 900.0 1.000 0. 0.009 130601.0026.ec.fits[109] 900.0 1.000 0. 0.009 130601.0026.ec.fits[110] 900.0 1.000 0. 0.009 130601.0026.ec.fits[111] 900.0 1.000 0. 0.009 130601.0026.ec.fits[112] 900.0 1.000 0. 0.009 130601.0026.ec.fits[113] 900.0 1.000 0. 0.009 130601.0026.ec.fits[114] 900.0 1.000 0. 0.009 130601.0026.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130601.0026.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 130601.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 130601.0027.ec.fits[100] 600.0 1.000 0. 0.009 130601.0027.ec.fits[101] 600.0 1.000 0. 0.009 130601.0027.ec.fits[102] 600.0 1.000 0. 0.009 130601.0027.ec.fits[103] 600.0 1.000 0. 0.009 130601.0027.ec.fits[104] 600.0 1.000 0. 0.009 130601.0027.ec.fits[105] 600.0 1.000 0. 0.009 130601.0027.ec.fits[106] 600.0 1.000 0. 0.009 130601.0027.ec.fits[107] 600.0 1.000 0. 0.009 130601.0027.ec.fits[108] 600.0 1.000 0. 0.009 130601.0027.ec.fits[109] 600.0 1.000 0. 0.009 130601.0027.ec.fits[110] 600.0 1.000 0. 0.009 130601.0027.ec.fits[111] 600.0 1.000 0. 0.009 130601.0027.ec.fits[112] 600.0 1.000 0. 0.009 130601.0027.ec.fits[113] 600.0 1.000 0. 0.009 130601.0027.ec.fits[114] 600.0 1.000 0. 0.009 130601.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum130601.0027.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:41: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 130601.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 130601.0028.ec.fits[100] 900.0 1.000 0. 0.009 130601.0028.ec.fits[101] 900.0 1.000 0. 0.009 130601.0028.ec.fits[102] 900.0 1.000 0. 0.009 130601.0028.ec.fits[103] 900.0 1.000 0. 0.009 130601.0028.ec.fits[104] 900.0 1.000 0. 0.009 130601.0028.ec.fits[105] 900.0 1.000 0. 0.009 130601.0028.ec.fits[106] 900.0 1.000 0. 0.009 130601.0028.ec.fits[107] 900.0 1.000 0. 0.009 130601.0028.ec.fits[108] 900.0 1.000 0. 0.009 130601.0028.ec.fits[109] 900.0 1.000 0. 0.009 130601.0028.ec.fits[110] 900.0 1.000 0. 0.009 130601.0028.ec.fits[111] 900.0 1.000 0. 0.009 130601.0028.ec.fits[112] 900.0 1.000 0. 0.009 130601.0028.ec.fits[113] 900.0 1.000 0. 0.009 130601.0028.ec.fits[114] 900.0 1.000 0. 0.009 130601.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130601.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:41: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0029.ec.fits[ 1] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 2] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 3] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 4] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 5] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 6] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 7] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 8] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 9] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 10] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 11] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 12] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 13] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 14] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 15] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 16] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 17] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 18] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 19] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 20] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 21] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 22] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 23] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 24] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 25] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 26] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 27] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 28] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 29] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 30] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 31] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 32] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 33] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 34] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 35] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 36] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 37] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 38] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 39] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 40] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 41] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 42] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 43] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 44] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 45] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 46] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 47] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 48] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 49] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 50] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 51] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 52] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 53] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 54] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 55] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 56] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 57] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 58] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 59] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 60] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 61] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 62] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 63] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 64] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 65] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 66] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 67] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 68] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 69] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 70] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 71] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 72] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 73] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 74] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 75] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 76] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 77] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 78] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 79] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 80] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 81] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 82] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 83] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 84] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 85] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 86] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 87] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 88] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 89] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 90] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 91] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 92] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 93] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 94] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 95] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 96] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 97] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 98] 900.0 1.000 0. 0.009 130601.0029.ec.fits[ 99] 900.0 1.000 0. 0.009 130601.0029.ec.fits[100] 900.0 1.000 0. 0.009 130601.0029.ec.fits[101] 900.0 1.000 0. 0.009 130601.0029.ec.fits[102] 900.0 1.000 0. 0.009 130601.0029.ec.fits[103] 900.0 1.000 0. 0.009 130601.0029.ec.fits[104] 900.0 1.000 0. 0.009 130601.0029.ec.fits[105] 900.0 1.000 0. 0.009 130601.0029.ec.fits[106] 900.0 1.000 0. 0.009 130601.0029.ec.fits[107] 900.0 1.000 0. 0.009 130601.0029.ec.fits[108] 900.0 1.000 0. 0.009 130601.0029.ec.fits[109] 900.0 1.000 0. 0.009 130601.0029.ec.fits[110] 900.0 1.000 0. 0.009 130601.0029.ec.fits[111] 900.0 1.000 0. 0.009 130601.0029.ec.fits[112] 900.0 1.000 0. 0.009 130601.0029.ec.fits[113] 900.0 1.000 0. 0.009 130601.0029.ec.fits[114] 900.0 1.000 0. 0.009 130601.0029.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130601.0029.ec.fits, ncombine = 115, exptime = 103500.1 w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 130601.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 130601.0030.ec.fits[100] 900.0 1.000 0. 0.009 130601.0030.ec.fits[101] 900.0 1.000 0. 0.009 130601.0030.ec.fits[102] 900.0 1.000 0. 0.009 130601.0030.ec.fits[103] 900.0 1.000 0. 0.009 130601.0030.ec.fits[104] 900.0 1.000 0. 0.009 130601.0030.ec.fits[105] 900.0 1.000 0. 0.009 130601.0030.ec.fits[106] 900.0 1.000 0. 0.009 130601.0030.ec.fits[107] 900.0 1.000 0. 0.009 130601.0030.ec.fits[108] 900.0 1.000 0. 0.009 130601.0030.ec.fits[109] 900.0 1.000 0. 0.009 130601.0030.ec.fits[110] 900.0 1.000 0. 0.009 130601.0030.ec.fits[111] 900.0 1.000 0. 0.009 130601.0030.ec.fits[112] 900.0 1.000 0. 0.009 130601.0030.ec.fits[113] 900.0 1.000 0. 0.009 130601.0030.ec.fits[114] 900.0 1.000 0. 0.009 130601.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130601.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130601.0031.ec.fits[ 1] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 2] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 3] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 4] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 5] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 6] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 7] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 8] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 9] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 10] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 11] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 12] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 13] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 14] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 15] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 16] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 17] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 18] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 19] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 20] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 21] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 22] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 23] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 24] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 25] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 26] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 27] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 28] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 29] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 30] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 31] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 32] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 33] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 34] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 35] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 36] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 37] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 38] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 39] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 40] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 41] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 42] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 43] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 44] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 45] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 46] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 47] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 48] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 49] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 50] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 51] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 52] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 53] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 54] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 55] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 56] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 57] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 58] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 59] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 60] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 61] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 62] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 63] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 64] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 65] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 66] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 67] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 68] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 69] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 70] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 71] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 72] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 73] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 74] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 75] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 76] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 77] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 78] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 79] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 80] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 81] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 82] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 83] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 84] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 85] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 86] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 87] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 88] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 89] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 90] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 91] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 92] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 93] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 94] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 95] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 96] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 97] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 98] 900.0 1.000 0. 0.009 130601.0031.ec.fits[ 99] 900.0 1.000 0. 0.009 130601.0031.ec.fits[100] 900.0 1.000 0. 0.009 130601.0031.ec.fits[101] 900.0 1.000 0. 0.009 130601.0031.ec.fits[102] 900.0 1.000 0. 0.009 130601.0031.ec.fits[103] 900.0 1.000 0. 0.009 130601.0031.ec.fits[104] 900.0 1.000 0. 0.009 130601.0031.ec.fits[105] 900.0 1.000 0. 0.009 130601.0031.ec.fits[106] 900.0 1.000 0. 0.009 130601.0031.ec.fits[107] 900.0 1.000 0. 0.009 130601.0031.ec.fits[108] 900.0 1.000 0. 0.009 130601.0031.ec.fits[109] 900.0 1.000 0. 0.009 130601.0031.ec.fits[110] 900.0 1.000 0. 0.009 130601.0031.ec.fits[111] 900.0 1.000 0. 0.009 130601.0031.ec.fits[112] 900.0 1.000 0. 0.009 130601.0031.ec.fits[113] 900.0 1.000 0. 0.009 130601.0031.ec.fits[114] 900.0 1.000 0. 0.009 130601.0031.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130601.0031.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:43: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0021.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[100] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[101] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[102] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[103] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[104] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[105] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[106] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[107] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[108] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[109] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[110] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[111] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[112] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[113] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[114] 600.0 1.000 0. 0.009 fitcont130601.0021.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont130601.0021.ec.fits, ncombine = 115, exptime = 69000.01 w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:43: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont130601.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont130601.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:44: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0023.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont130601.0023.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont130601.0023.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:44: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0024.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont130601.0024.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont130601.0024.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:45: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont130601.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont130601.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0026.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130601.0026.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130601.0026.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[100] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[101] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[102] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[103] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[104] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[105] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[106] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[107] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[108] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[109] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[110] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[111] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[112] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[113] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[114] 600.0 1.000 0. 0.009 fitcont130601.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont130601.0027.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:47: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130601.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130601.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:47: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0029.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130601.0029.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130601.0029.ec.fits, ncombine = 115, exptime = 103500.1 w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:48: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130601.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130601.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 Dec 10 11:48: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130601.0031.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130601.0031.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130601.0031.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.645, w2 = 10812.19, dw = 0.04394683, nw = 169582., dtype = 0 69000.01 fullspec130601.0021.ec.fits,EXPTIME: 69000.01 -> 600.000086957 fullspec130601.0021.ec.fits updated 138000. fullspec130601.0022.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec130601.0022.ec.fits updated 172500. fullspec130601.0023.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec130601.0023.ec.fits updated 138000. fullspec130601.0024.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec130601.0024.ec.fits updated 172500. fullspec130601.0025.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec130601.0025.ec.fits updated 103500. fullspec130601.0026.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130601.0026.ec.fits updated 68999.99 fullspec130601.0027.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspec130601.0027.ec.fits updated 103500. fullspec130601.0028.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130601.0028.ec.fits updated 103500.1 fullspec130601.0029.ec.fits,EXPTIME: 103500.1 -> 900.000869565 fullspec130601.0029.ec.fits updated 103500. fullspec130601.0030.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130601.0030.ec.fits updated 103500. fullspec130601.0031.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130601.0031.ec.fits updated ALL DONE! Yay! (=^.^=)