Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... 140902.0021.fits,dispaxis: 1 -> 1 140902.0021.fits updated 140902.0022.fits,dispaxis: 1 -> 1 140902.0022.fits updated 140902.0023.fits,dispaxis: 1 -> 1 140902.0023.fits updated 140902.0024.fits,dispaxis: 1 -> 1 140902.0024.fits updated 140902.0025.fits,dispaxis: 1 -> 1 140902.0025.fits updated 140902.0027.fits,dispaxis: 1 -> 1 140902.0027.fits updated 140902.0028.fits,dispaxis: 1 -> 1 140902.0028.fits updated 140902.0029.fits,dispaxis: 1 -> 1 140902.0029.fits updated 140902.0030.fits,dispaxis: 1 -> 1 140902.0030.fits updated 140902.0031.fits,dispaxis: 1 -> 1 140902.0031.fits updated EchelleBias.0001.fits,dispaxis: 1 -> 1 EchelleBias.0001.fits updated EchelleBias.0002.fits,dispaxis: 1 -> 1 EchelleBias.0002.fits updated EchelleBias.0003.fits,dispaxis: 1 -> 1 EchelleBias.0003.fits updated EchelleBias.0004.fits,dispaxis: 1 -> 1 EchelleBias.0004.fits updated EchelleBias.0005.fits,dispaxis: 1 -> 1 EchelleBias.0005.fits updated EchelleBias.0006.fits,dispaxis: 1 -> 1 EchelleBias.0006.fits updated EchelleBias.0007.fits,dispaxis: 1 -> 1 EchelleBias.0007.fits updated EchelleBias.0008.fits,dispaxis: 1 -> 1 EchelleBias.0008.fits updated EchelleBias.0009.fits,dispaxis: 1 -> 1 EchelleBias.0009.fits updated EchelleBias.0010.fits,dispaxis: 1 -> 1 EchelleBias.0010.fits updated EchelleFlat.0011.fits,dispaxis: 1 -> 1 EchelleFlat.0011.fits updated EchelleFlat.0012.fits,dispaxis: 1 -> 1 EchelleFlat.0012.fits updated EchelleFlat.0013.fits,dispaxis: 1 -> 1 EchelleFlat.0013.fits updated EchelleFlatBlue.0014.fits,dispaxis: 1 -> 1 EchelleFlatBlue.0014.fits updated EchelleFlatBlue.0015.fits,dispaxis: 1 -> 1 EchelleFlatBlue.0015.fits updated EchelleFlatBlue.0016.fits,dispaxis: 1 -> 1 EchelleFlatBlue.0016.fits updated EchelleThAr.0017.fits,dispaxis: 1 -> 1 EchelleThAr.0017.fits updated EchelleThAr.0018.fits,dispaxis: 1 -> 1 EchelleThAr.0018.fits updated EchelleThAr.0019.fits,dispaxis: 1 -> 1 EchelleThAr.0019.fits updated EchelleThAr.0020.fits,dispaxis: 1 -> 1 EchelleThAr.0020.fits updated EchelleThAr.0026.fits,dispaxis: 1 -> 1 EchelleThAr.0026.fits updated EchelleThAr.0032.fits,dispaxis: 1 -> 1 EchelleThAr.0032.fits updated bias_fid.fits,dispaxis: 1 -> 1 bias_fid.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 140902.0021.fits with mask echmask.pl FIXPIX: image 140902.0022.fits with mask echmask.pl FIXPIX: image 140902.0023.fits with mask echmask.pl FIXPIX: image 140902.0024.fits with mask echmask.pl FIXPIX: image 140902.0025.fits with mask echmask.pl FIXPIX: image 140902.0027.fits with mask echmask.pl FIXPIX: image 140902.0028.fits with mask echmask.pl FIXPIX: image 140902.0029.fits with mask echmask.pl FIXPIX: image 140902.0030.fits with mask echmask.pl FIXPIX: image 140902.0031.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 FIXPIX: image EchelleThAr.0026.fits with mask echmask.pl FIXPIX: image EchelleThAr.0032.fits with mask echmask.pl Warning: Cannot open image (bias_fid.fits) Sep 5 14:00: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.4 EchelleBias.0002.fits 0.0 EchelleBias.0003.fits 2.4 EchelleBias.0004.fits 0.0 EchelleBias.0005.fits 0.4 EchelleBias.0006.fits 0.0 EchelleBias.0007.fits 2.4 EchelleBias.0008.fits 0.0 EchelleBias.0009.fits 0.4 EchelleBias.0010.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 140902.0021.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] bias_fid: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0021.fits: Sep 5 14:00 Zero level correction image is bias_fid 140902.0022.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0022.fits: Sep 5 14:00 Zero level correction image is bias_fid 140902.0023.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0023.fits: Sep 5 14:00 Zero level correction image is bias_fid 140902.0024.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0024.fits: Sep 5 14:00 Zero level correction image is bias_fid 140902.0025.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0025.fits: Sep 5 14:00 Zero level correction image is bias_fid 140902.0027.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0027.fits: Sep 5 14:00 Zero level correction image is bias_fid 140902.0028.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0028.fits: Sep 5 14:00 Zero level correction image is bias_fid 140902.0029.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0029.fits: Sep 5 14:00 Zero level correction image is bias_fid 140902.0030.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0030.fits: Sep 5 14:00 Zero level correction image is bias_fid 140902.0031.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] 140902.0031.fits: Sep 5 14:00 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Sep 5 14:00 Zero level correction image is bias_fid EchelleFlat.0012.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Sep 5 14:00 Zero level correction image is bias_fid EchelleFlat.0013.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Sep 5 14:00 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Sep 5 14:00 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Sep 5 14:00 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Sep 5 14:00 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Sep 5 14:00 Zero level correction image is bias_fid EchelleThAr.0018.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Sep 5 14:00 Zero level correction image is bias_fid EchelleThAr.0019.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Sep 5 14:00 Zero level correction image is bias_fid EchelleThAr.0020.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Sep 5 14:00 Zero level correction image is bias_fid EchelleThAr.0026.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleThAr.0026.fits: Sep 5 14:00 Zero level correction image is bias_fid EchelleThAr.0032.fits: Sep 5 14:00 Trim data section is [200:1850,1:2048] EchelleThAr.0032.fits: Sep 5 14:00 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Sep 5 14:00: 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 Sep 5 14:00: 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... Sep 5 14:00: TRACE - Trace of aperture 95 in flat_fid_mag lost at column 90. Sep 5 14:00: TRACE - Trace of aperture 95 in flat_fid_mag recovered at column 89. Sep 5 14:00: TRACE - Trace of aperture 96 in flat_fid_mag lost at column 1635. Sep 5 14:00: TRACE - Trace of aperture 96 in flat_fid_mag recovered at column 1636. Sep 5 14:00: TRACE - Trace of aperture 96 in flat_fid_mag lost at column 95. Sep 5 14:00: TRACE - Trace of aperture 96 in flat_fid_mag recovered at column 94. Sep 5 14:00: TRACE - Trace of aperture 96 in flat_fid_mag lost at column 92. Sep 5 14:00: TRACE - Trace of aperture 96 in flat_fid_mag lost at column 91. Sep 5 14:00: TRACE - Trace of aperture 96 in flat_fid_mag recovered at column 90. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1613. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 1614. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1645. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 1646. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 134. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 133. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 131. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 130. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 101. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 100. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 87. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 86. Sep 5 14:00: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 85. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1586. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 1587. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 170. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 169. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 147. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 146. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 62. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 61. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 60. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 57. Sep 5 14:00: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 56. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1594. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1595. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1632. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1633. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1641. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1642. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 143. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 142. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 110. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 109. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 101. Sep 5 14:00: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 100. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1554. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1555. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1556. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 146. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 145. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 138. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 137. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 129. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 128. Sep 5 14:00: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 127. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1582. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1583. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1593. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1594. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1599. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1600. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 128. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 127. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 108. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 107. Sep 5 14:00: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 106. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1516. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1517. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1518. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1542. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1543. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1555. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1556. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1573. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1574. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1575. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1576. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1577. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1590. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1591. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1593. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1594. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1608. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1609. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1610. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1616. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1617. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1618. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1638. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1639. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1640. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 195. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 194. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 156. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 155. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 154. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 119. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 118. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 66. Sep 5 14:00: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 65. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1578. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1579. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1614. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1615. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1616. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1630. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1631. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1633. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1634. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 156. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 155. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 154. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 124. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 123. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 122. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 102. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 101. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 100. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 99. Sep 5 14:00: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 98. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1472. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1473. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1520. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1521. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1562. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1563. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1578. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1579. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1580. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 196. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 195. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 194. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 153. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 152. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 151. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 145. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 144. Sep 5 14:00: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 143. Sep 5 14:00: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1503. Sep 5 14:00: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1504. Sep 5 14:00: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1505. Sep 5 14:00: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 200. Sep 5 14:00: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 199. Sep 5 14:00: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 198. Sep 5 14:00: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1439. Sep 5 14:00: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1440. Sep 5 14:00: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1441. Sep 5 14:00: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 309. Sep 5 14:00: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 308. Sep 5 14:00: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 182. Sep 5 14:00: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 181. Sep 5 14:00: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 180. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1428. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1429. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1430. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1438. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1439. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1490. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1491. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1493. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1494. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1497. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1498. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1499. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 241. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 240. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 239. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 185. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 184. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 182. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 181. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 164. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 163. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 145. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 144. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 139. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 138. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 137. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 136. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 134. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 133. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 132. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 131. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 36. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 35. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 9. Sep 5 14:00: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 8. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1434. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1435. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1436. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 284. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 283. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 282. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 277. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 276. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 194. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 193. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 176. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 175. Sep 5 14:00: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 174. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1328. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1329. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1426. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1427. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1438. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1439. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1444. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1445. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1490. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1491. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1503. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1504. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1505. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1578. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1579. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1580. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1590. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1591. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1603. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1604. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1605. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 347. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 346. Sep 5 14:00: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 345. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1327. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1328. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1351. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1352. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1426. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1427. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1428. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1432. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1433. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1469. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1470. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1471. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 290. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 289. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 254. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 253. Sep 5 14:00: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 252. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1252. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1253. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1254. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1256. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1257. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1261. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1262. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1263. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1296. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1297. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1347. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1348. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1349. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1368. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1369. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1370. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1378. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1379. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1380. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 356. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 355. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 324. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 323. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 255. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 254. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 253. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 252. Sep 5 14:00: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 251. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1082. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1083. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1092. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1093. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1094. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1309. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1310. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1312. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1313. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1318. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1319. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1320. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1327. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1328. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1329. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 478. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 477. Sep 5 14:00: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 476. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1010. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1011. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1012. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1040. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1041. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1098. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1099. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1100. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1101. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1124. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1125. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1126. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1143. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1144. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1145. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 537. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 536. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 535. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 534. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 533. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 517. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 516. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 470. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 469. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 468. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 424. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 423. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 417. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 416. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 387. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 386. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 385. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 370. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 369. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 368. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 352. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 351. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 343. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 342. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 341. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 339. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 338. Sep 5 14:00: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 337. Sep 5 14:00: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 856. Sep 5 14:00: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 857. Sep 5 14:00: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 896. Sep 5 14:00: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 897. Sep 5 14:00: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 898. Sep 5 14:00: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 809. Sep 5 14:00: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 808. Sep 5 14:00: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 807. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 829. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 830. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 831. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 839. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 840. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 841. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 824. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 823. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 799. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 798. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 797. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 766. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 765. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 735. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 734. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 722. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 721. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 720. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 719. Sep 5 14:00: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 718. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 17.45 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0017.fits Magnify image EchelleThAr.0017.fits to image EchelleThAr.0017.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0017.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0017.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0018.fits Magnify image EchelleThAr.0018.fits to image EchelleThAr.0018.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0018.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0018.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0019.fits Magnify image EchelleThAr.0019.fits to image EchelleThAr.0019.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0019.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0019.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0020.fits Magnify image EchelleThAr.0020.fits to image EchelleThAr.0020.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0020.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0020.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0026.fits Magnify image EchelleThAr.0026.fits to image EchelleThAr.0026.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0026.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0026.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0032.fits Magnify image EchelleThAr.0032.fits to image EchelleThAr.0032.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0032.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0032.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140902.0021 Magnify image 140902.0021 to image 140902.0021. 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 140902.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0021 -> noscat140902.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:01: EXTRACT: WARNING - Aperture 108: Sep 5 14:01: Total variance weighted spectrum flux is 7593.775 Sep 5 14:01: Total unweighted spectrum flux is 3208.586 Sep 5 14:01: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4225285 Sep 5 14:01: EXTRACT: WARNING - Aperture 109: Sep 5 14:01: Total variance weighted spectrum flux is 13457.89 Sep 5 14:01: Total unweighted spectrum flux is 6264.587 Sep 5 14:01: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4654956 Sep 5 14:01: EXTRACT: WARNING - Aperture 110: Sep 5 14:01: Total variance weighted spectrum flux is 5857.801 Sep 5 14:01: Total unweighted spectrum flux is 2846.293 Sep 5 14:01: EXTRACT: Aperture 110 variance spectrum bias factor is 0.485898 Sep 5 14:01: EXTRACT: WARNING - Aperture 111: Sep 5 14:01: Total variance weighted spectrum flux is 11291.78 Sep 5 14:01: Total unweighted spectrum flux is 2530.393 Sep 5 14:01: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2240916 Sep 5 14:01: EXTRACT: WARNING - Aperture 112: Sep 5 14:01: Total variance weighted spectrum flux is 3245.996 Sep 5 14:01: Total unweighted spectrum flux is 6.03398 Sep 5 14:01: EXTRACT: Aperture 112 variance spectrum bias factor is 0.001858899 Sep 5 14:01: EXTRACT: WARNING - Aperture 113: Sep 5 14:01: Total variance weighted spectrum flux is 2294.393 Sep 5 14:01: Total unweighted spectrum flux is 1052.711 Sep 5 14:01: EXTRACT: Aperture 113 variance spectrum bias factor is 0.458819 Sep 5 14:01: EXTRACT: WARNING - Aperture 114: Sep 5 14:01: Total variance weighted spectrum flux is 178.109 Sep 5 14:01: Total unweighted spectrum flux is 42.81962 Sep 5 14:01: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2404124 Resampling the object by a factor of 4 in the y direction... 140902.0022 Magnify image 140902.0022 to image 140902.0022. 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 140902.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0022 -> noscat140902.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:02: EXTRACT: WARNING - Aperture 100: Sep 5 14:02: Total variance weighted spectrum flux is 7226.252 Sep 5 14:02: Total unweighted spectrum flux is 2309.502 Sep 5 14:02: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3195989 Sep 5 14:02: EXTRACT: WARNING - Aperture 106: Sep 5 14:02: Total variance weighted spectrum flux is 1839.948 Sep 5 14:02: Total unweighted spectrum flux is -582.6437 Sep 5 14:02: Variance spectrum bias factor ignored Sep 5 14:02: EXTRACT: WARNING - Aperture 107: Sep 5 14:02: Total variance weighted spectrum flux is 9982.924 Sep 5 14:02: Total unweighted spectrum flux is 2299.238 Sep 5 14:02: EXTRACT: Aperture 107 variance spectrum bias factor is 0.230317 Sep 5 14:02: EXTRACT: WARNING - Aperture 108: Sep 5 14:02: Total variance weighted spectrum flux is 5445.171 Sep 5 14:02: Total unweighted spectrum flux is 2415.3 Sep 5 14:02: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4435673 Sep 5 14:02: EXTRACT: WARNING - Aperture 109: Sep 5 14:02: Total variance weighted spectrum flux is 8314.008 Sep 5 14:02: Total unweighted spectrum flux is 2084.24 Sep 5 14:02: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2506902 Sep 5 14:02: EXTRACT: WARNING - Aperture 110: Sep 5 14:02: Total variance weighted spectrum flux is 9615.979 Sep 5 14:02: Total unweighted spectrum flux is 2177.977 Sep 5 14:02: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2264956 Sep 5 14:02: EXTRACT: WARNING - Aperture 111: Sep 5 14:02: Total variance weighted spectrum flux is 5461.698 Sep 5 14:02: Total unweighted spectrum flux is 1366.671 Sep 5 14:02: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2502283 Sep 5 14:02: EXTRACT: WARNING - Aperture 112: Sep 5 14:02: Total variance weighted spectrum flux is 2139.365 Sep 5 14:02: Total unweighted spectrum flux is 229.1535 Sep 5 14:02: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1071129 Sep 5 14:02: EXTRACT: WARNING - Aperture 113: Sep 5 14:02: Total variance weighted spectrum flux is 5031.643 Sep 5 14:02: Total unweighted spectrum flux is 484.5587 Sep 5 14:02: EXTRACT: Aperture 113 variance spectrum bias factor is 0.09630229 Sep 5 14:02: EXTRACT: WARNING - Aperture 115: Sep 5 14:02: Total variance weighted spectrum flux is 1800.585 Sep 5 14:02: Total unweighted spectrum flux is 627.9514 Sep 5 14:02: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3487486 Resampling the object by a factor of 4 in the y direction... 140902.0023 Magnify image 140902.0023 to image 140902.0023. 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 140902.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0023 -> noscat140902.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:03: EXTRACT: WARNING - Aperture 95: Sep 5 14:03: Total variance weighted spectrum flux is 4267.706 Sep 5 14:03: Total unweighted spectrum flux is -1332.077 Sep 5 14:03: Variance spectrum bias factor ignored Sep 5 14:03: EXTRACT: WARNING - Aperture 96: Sep 5 14:03: Total variance weighted spectrum flux is 6659.474 Sep 5 14:03: Total unweighted spectrum flux is 3091.995 Sep 5 14:03: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4643002 Sep 5 14:03: EXTRACT: WARNING - Aperture 99: Sep 5 14:03: Total variance weighted spectrum flux is 11426.4 Sep 5 14:03: Total unweighted spectrum flux is 5081.931 Sep 5 14:03: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4447536 Sep 5 14:03: EXTRACT: WARNING - Aperture 101: Sep 5 14:03: Total variance weighted spectrum flux is 8677.573 Sep 5 14:03: Total unweighted spectrum flux is 3784.099 Sep 5 14:03: EXTRACT: Aperture 101 variance spectrum bias factor is 0.436078 Sep 5 14:03: EXTRACT: WARNING - Aperture 102: Sep 5 14:03: Total variance weighted spectrum flux is 10093.21 Sep 5 14:03: Total unweighted spectrum flux is 4768.614 Sep 5 14:03: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4724577 Sep 5 14:03: EXTRACT: WARNING - Aperture 103: Sep 5 14:03: Total variance weighted spectrum flux is 5872.917 Sep 5 14:03: Total unweighted spectrum flux is 1622.822 Sep 5 14:03: EXTRACT: Aperture 103 variance spectrum bias factor is 0.2763231 Sep 5 14:03: EXTRACT: WARNING - Aperture 104: Sep 5 14:03: Total variance weighted spectrum flux is 6218.265 Sep 5 14:03: Total unweighted spectrum flux is -61.67006 Sep 5 14:03: Variance spectrum bias factor ignored Sep 5 14:03: EXTRACT: WARNING - Aperture 105: Sep 5 14:03: Total variance weighted spectrum flux is 6599.044 Sep 5 14:03: Total unweighted spectrum flux is 1639.34 Sep 5 14:03: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2484209 Sep 5 14:03: EXTRACT: WARNING - Aperture 107: Sep 5 14:03: Total variance weighted spectrum flux is 6388.554 Sep 5 14:03: Total unweighted spectrum flux is 933.2068 Sep 5 14:03: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1460748 Sep 5 14:03: EXTRACT: WARNING - Aperture 108: Sep 5 14:03: Total variance weighted spectrum flux is 4765.947 Sep 5 14:03: Total unweighted spectrum flux is -416.5096 Sep 5 14:03: Variance spectrum bias factor ignored Sep 5 14:03: EXTRACT: WARNING - Aperture 109: Sep 5 14:03: Total variance weighted spectrum flux is 5435.117 Sep 5 14:03: Total unweighted spectrum flux is -280.2508 Sep 5 14:03: Variance spectrum bias factor ignored Sep 5 14:03: EXTRACT: WARNING - Aperture 110: Sep 5 14:03: Total variance weighted spectrum flux is 3686.367 Sep 5 14:03: Total unweighted spectrum flux is 126.6091 Sep 5 14:03: EXTRACT: Aperture 110 variance spectrum bias factor is 0.03434524 Sep 5 14:03: EXTRACT: WARNING - Aperture 111: Sep 5 14:03: Total variance weighted spectrum flux is 3344.545 Sep 5 14:03: Total unweighted spectrum flux is -109.9069 Sep 5 14:03: Variance spectrum bias factor ignored Sep 5 14:03: EXTRACT: WARNING - Aperture 112: Sep 5 14:03: Total variance weighted spectrum flux is 3150.492 Sep 5 14:03: Total unweighted spectrum flux is 24.3854 Sep 5 14:03: EXTRACT: Aperture 112 variance spectrum bias factor is 0.007740188 Sep 5 14:03: EXTRACT: WARNING - Aperture 113: Sep 5 14:03: Total variance weighted spectrum flux is 1844.063 Sep 5 14:03: Total unweighted spectrum flux is 299.0684 Sep 5 14:03: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1621791 Sep 5 14:03: EXTRACT: WARNING - Aperture 115: Sep 5 14:03: Total variance weighted spectrum flux is -354.4142 Sep 5 14:03: Total unweighted spectrum flux is -1001.179 Sep 5 14:03: EXTRACT: Aperture 115 variance spectrum bias factor is 2.824883 Resampling the object by a factor of 4 in the y direction... 140902.0024 Magnify image 140902.0024 to image 140902.0024. 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 140902.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0024 -> noscat140902.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:03: EXTRACT: WARNING - Aperture 106: Sep 5 14:03: Total variance weighted spectrum flux is 7893.185 Sep 5 14:03: Total unweighted spectrum flux is 3492.765 Sep 5 14:03: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4425038 Sep 5 14:03: EXTRACT: WARNING - Aperture 107: Sep 5 14:03: Total variance weighted spectrum flux is 5616.956 Sep 5 14:03: Total unweighted spectrum flux is 2349.644 Sep 5 14:03: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4183127 Sep 5 14:03: EXTRACT: WARNING - Aperture 108: Sep 5 14:03: Total variance weighted spectrum flux is 4780.238 Sep 5 14:03: Total unweighted spectrum flux is 1339.306 Sep 5 14:03: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2801755 Sep 5 14:03: EXTRACT: WARNING - Aperture 109: Sep 5 14:03: Total variance weighted spectrum flux is 9054.722 Sep 5 14:03: Total unweighted spectrum flux is 3725.655 Sep 5 14:03: EXTRACT: Aperture 109 variance spectrum bias factor is 0.41146 Sep 5 14:03: EXTRACT: WARNING - Aperture 111: Sep 5 14:03: Total variance weighted spectrum flux is 6236.601 Sep 5 14:03: Total unweighted spectrum flux is 2109.358 Sep 5 14:03: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3382224 Sep 5 14:03: EXTRACT: WARNING - Aperture 112: Sep 5 14:03: Total variance weighted spectrum flux is 2753.224 Sep 5 14:03: Total unweighted spectrum flux is -327.7863 Sep 5 14:03: Variance spectrum bias factor ignored Sep 5 14:03: EXTRACT: WARNING - Aperture 113: Sep 5 14:03: Total variance weighted spectrum flux is 9354.636 Sep 5 14:03: Total unweighted spectrum flux is 2920.458 Sep 5 14:03: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3121937 Resampling the object by a factor of 4 in the y direction... 140902.0025 Magnify image 140902.0025 to image 140902.0025. 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 140902.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0025 -> noscat140902.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:04: EXTRACT: WARNING - Aperture 100: Sep 5 14:04: Total variance weighted spectrum flux is 4448.979 Sep 5 14:04: Total unweighted spectrum flux is 138.1371 Sep 5 14:04: EXTRACT: Aperture 100 variance spectrum bias factor is 0.03104916 Sep 5 14:04: EXTRACT: WARNING - Aperture 103: Sep 5 14:04: Total variance weighted spectrum flux is 12555.78 Sep 5 14:04: Total unweighted spectrum flux is 5666.124 Sep 5 14:04: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4512761 Sep 5 14:04: EXTRACT: WARNING - Aperture 104: Sep 5 14:04: Total variance weighted spectrum flux is 12897.31 Sep 5 14:04: Total unweighted spectrum flux is 6201.792 Sep 5 14:04: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4808594 Sep 5 14:04: EXTRACT: WARNING - Aperture 105: Sep 5 14:04: Total variance weighted spectrum flux is 9091.228 Sep 5 14:04: Total unweighted spectrum flux is 1349.135 Sep 5 14:04: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1483996 Sep 5 14:04: EXTRACT: WARNING - Aperture 106: Sep 5 14:04: Total variance weighted spectrum flux is 3183.303 Sep 5 14:04: Total unweighted spectrum flux is 1254.329 Sep 5 14:04: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3940337 Sep 5 14:04: EXTRACT: WARNING - Aperture 107: Sep 5 14:04: Total variance weighted spectrum flux is 5800.675 Sep 5 14:04: Total unweighted spectrum flux is 2550.743 Sep 5 14:04: EXTRACT: Aperture 107 variance spectrum bias factor is 0.439732 Sep 5 14:04: EXTRACT: WARNING - Aperture 108: Sep 5 14:04: Total variance weighted spectrum flux is 2726.31 Sep 5 14:04: Total unweighted spectrum flux is 780.9753 Sep 5 14:04: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2864588 Sep 5 14:04: EXTRACT: WARNING - Aperture 109: Sep 5 14:04: Total variance weighted spectrum flux is 3581.168 Sep 5 14:04: Total unweighted spectrum flux is 922.9161 Sep 5 14:04: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2577137 Sep 5 14:04: EXTRACT: WARNING - Aperture 110: Sep 5 14:04: Total variance weighted spectrum flux is 4364.751 Sep 5 14:04: Total unweighted spectrum flux is 1071.776 Sep 5 14:04: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2455526 Sep 5 14:04: EXTRACT: WARNING - Aperture 111: Sep 5 14:04: Total variance weighted spectrum flux is 3986.575 Sep 5 14:04: Total unweighted spectrum flux is 1169.491 Sep 5 14:04: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2933575 Sep 5 14:04: EXTRACT: WARNING - Aperture 112: Sep 5 14:04: Total variance weighted spectrum flux is 2302.238 Sep 5 14:04: Total unweighted spectrum flux is -926.9375 Sep 5 14:04: Variance spectrum bias factor ignored Sep 5 14:04: EXTRACT: WARNING - Aperture 113: Sep 5 14:04: Total variance weighted spectrum flux is 1807.519 Sep 5 14:04: Total unweighted spectrum flux is 194.5069 Sep 5 14:04: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1076099 Sep 5 14:04: EXTRACT: WARNING - Aperture 114: Sep 5 14:04: Total variance weighted spectrum flux is 182.1811 Sep 5 14:04: Total unweighted spectrum flux is 83.1063 Sep 5 14:04: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4561742 Sep 5 14:04: EXTRACT: WARNING - Aperture 115: Sep 5 14:04: Total variance weighted spectrum flux is 2354.162 Sep 5 14:04: Total unweighted spectrum flux is 1154.628 Sep 5 14:04: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4904624 Resampling the object by a factor of 4 in the y direction... 140902.0027 Magnify image 140902.0027 to image 140902.0027. 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 140902.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0027 -> noscat140902.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:05: EXTRACT: WARNING - Aperture 97: Sep 5 14:05: Total variance weighted spectrum flux is 7862.266 Sep 5 14:05: Total unweighted spectrum flux is -1217.67 Sep 5 14:05: Variance spectrum bias factor ignored Sep 5 14:05: EXTRACT: WARNING - Aperture 101: Sep 5 14:05: Total variance weighted spectrum flux is 5183.783 Sep 5 14:05: Total unweighted spectrum flux is 117.8871 Sep 5 14:05: EXTRACT: Aperture 101 variance spectrum bias factor is 0.02274152 Sep 5 14:05: EXTRACT: WARNING - Aperture 104: Sep 5 14:05: Total variance weighted spectrum flux is 12428.09 Sep 5 14:05: Total unweighted spectrum flux is 4882.206 Sep 5 14:05: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3928362 Sep 5 14:05: EXTRACT: WARNING - Aperture 105: Sep 5 14:05: Total variance weighted spectrum flux is 4598.232 Sep 5 14:05: Total unweighted spectrum flux is 1298.468 Sep 5 14:05: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2823841 Sep 5 14:05: EXTRACT: WARNING - Aperture 106: Sep 5 14:05: Total variance weighted spectrum flux is 3535.97 Sep 5 14:05: Total unweighted spectrum flux is 1670.332 Sep 5 14:05: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4723828 Sep 5 14:05: EXTRACT: WARNING - Aperture 107: Sep 5 14:05: Total variance weighted spectrum flux is 6547.417 Sep 5 14:05: Total unweighted spectrum flux is 1033.41 Sep 5 14:05: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1578348 Sep 5 14:05: EXTRACT: WARNING - Aperture 108: Sep 5 14:05: Total variance weighted spectrum flux is 2644.154 Sep 5 14:05: Total unweighted spectrum flux is 453.3349 Sep 5 14:05: EXTRACT: Aperture 108 variance spectrum bias factor is 0.171448 Sep 5 14:05: EXTRACT: WARNING - Aperture 109: Sep 5 14:05: Total variance weighted spectrum flux is 7056.054 Sep 5 14:05: Total unweighted spectrum flux is 222.3125 Sep 5 14:05: EXTRACT: Aperture 109 variance spectrum bias factor is 0.03150664 Sep 5 14:05: EXTRACT: WARNING - Aperture 110: Sep 5 14:05: Total variance weighted spectrum flux is 2322.683 Sep 5 14:05: Total unweighted spectrum flux is 218.2078 Sep 5 14:05: EXTRACT: Aperture 110 variance spectrum bias factor is 0.09394643 Sep 5 14:05: EXTRACT: WARNING - Aperture 111: Sep 5 14:05: Total variance weighted spectrum flux is 7659.368 Sep 5 14:05: Total unweighted spectrum flux is 1254.125 Sep 5 14:05: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1637373 Sep 5 14:05: EXTRACT: WARNING - Aperture 112: Sep 5 14:05: Total variance weighted spectrum flux is 3133.058 Sep 5 14:05: Total unweighted spectrum flux is -666.7655 Sep 5 14:05: Variance spectrum bias factor ignored Sep 5 14:05: EXTRACT: WARNING - Aperture 113: Sep 5 14:05: Total variance weighted spectrum flux is 2116.196 Sep 5 14:05: Total unweighted spectrum flux is -373.1198 Sep 5 14:05: Variance spectrum bias factor ignored Sep 5 14:05: EXTRACT: WARNING - Aperture 114: Sep 5 14:05: Total variance weighted spectrum flux is -17.80201 Sep 5 14:05: Total unweighted spectrum flux is -638.0532 Sep 5 14:05: EXTRACT: Aperture 114 variance spectrum bias factor is 35.84164 Sep 5 14:05: EXTRACT: WARNING - Aperture 115: Sep 5 14:05: Total variance weighted spectrum flux is -78.95263 Sep 5 14:05: Total unweighted spectrum flux is -387.3605 Sep 5 14:05: EXTRACT: Aperture 115 variance spectrum bias factor is 4.90624 Resampling the object by a factor of 4 in the y direction... 140902.0028 Magnify image 140902.0028 to image 140902.0028. 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 140902.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0028 -> noscat140902.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:06: EXTRACT: WARNING - Aperture 107: Sep 5 14:06: Total variance weighted spectrum flux is 4663.296 Sep 5 14:06: Total unweighted spectrum flux is 611.7412 Sep 5 14:06: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1311821 Sep 5 14:06: EXTRACT: WARNING - Aperture 109: Sep 5 14:06: Total variance weighted spectrum flux is 5343.622 Sep 5 14:06: Total unweighted spectrum flux is -2316.304 Sep 5 14:06: Variance spectrum bias factor ignored Sep 5 14:06: EXTRACT: WARNING - Aperture 110: Sep 5 14:06: Total variance weighted spectrum flux is 5540.497 Sep 5 14:06: Total unweighted spectrum flux is 2091.874 Sep 5 14:06: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3775608 Sep 5 14:06: EXTRACT: WARNING - Aperture 111: Sep 5 14:06: Total variance weighted spectrum flux is 3088.741 Sep 5 14:06: Total unweighted spectrum flux is 1134.008 Sep 5 14:06: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3671425 Sep 5 14:06: EXTRACT: WARNING - Aperture 112: Sep 5 14:06: Total variance weighted spectrum flux is 2783.581 Sep 5 14:06: Total unweighted spectrum flux is 1176.115 Sep 5 14:06: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4225188 Sep 5 14:06: EXTRACT: WARNING - Aperture 113: Sep 5 14:06: Total variance weighted spectrum flux is 2332.405 Sep 5 14:06: Total unweighted spectrum flux is 890.2973 Sep 5 14:06: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3817079 Resampling the object by a factor of 4 in the y direction... 140902.0029 Magnify image 140902.0029 to image 140902.0029. 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 140902.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0029 -> noscat140902.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:06: EXTRACT: WARNING - Aperture 94: Sep 5 14:06: Total variance weighted spectrum flux is 7042.352 Sep 5 14:06: Total unweighted spectrum flux is 504.397 Sep 5 14:06: EXTRACT: Aperture 94 variance spectrum bias factor is 0.07162337 Sep 5 14:06: EXTRACT: WARNING - Aperture 95: Sep 5 14:06: Total variance weighted spectrum flux is 15802.71 Sep 5 14:06: Total unweighted spectrum flux is 5955.316 Sep 5 14:06: EXTRACT: Aperture 95 variance spectrum bias factor is 0.3768542 Sep 5 14:06: EXTRACT: WARNING - Aperture 96: Sep 5 14:06: Total variance weighted spectrum flux is 7741.52 Sep 5 14:06: Total unweighted spectrum flux is 1348.046 Sep 5 14:06: EXTRACT: Aperture 96 variance spectrum bias factor is 0.174132 Sep 5 14:06: EXTRACT: WARNING - Aperture 98: Sep 5 14:06: Total variance weighted spectrum flux is 10972.3 Sep 5 14:06: Total unweighted spectrum flux is 5308.428 Sep 5 14:06: EXTRACT: Aperture 98 variance spectrum bias factor is 0.4838026 Sep 5 14:06: EXTRACT: WARNING - Aperture 99: Sep 5 14:06: Total variance weighted spectrum flux is 4212.999 Sep 5 14:06: Total unweighted spectrum flux is 1593.821 Sep 5 14:06: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3783105 Sep 5 14:06: EXTRACT: WARNING - Aperture 101: Sep 5 14:06: Total variance weighted spectrum flux is 3940.095 Sep 5 14:06: Total unweighted spectrum flux is 849.2541 Sep 5 14:06: EXTRACT: Aperture 101 variance spectrum bias factor is 0.2155415 Sep 5 14:06: EXTRACT: WARNING - Aperture 102: Sep 5 14:06: Total variance weighted spectrum flux is 3043.229 Sep 5 14:06: Total unweighted spectrum flux is -651.9916 Sep 5 14:06: Variance spectrum bias factor ignored Sep 5 14:06: EXTRACT: WARNING - Aperture 103: Sep 5 14:06: Total variance weighted spectrum flux is 6360.354 Sep 5 14:06: Total unweighted spectrum flux is -514.7205 Sep 5 14:06: Variance spectrum bias factor ignored Sep 5 14:06: EXTRACT: WARNING - Aperture 104: Sep 5 14:06: Total variance weighted spectrum flux is 6328.845 Sep 5 14:06: Total unweighted spectrum flux is 2505.847 Sep 5 14:06: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3959407 Sep 5 14:06: EXTRACT: WARNING - Aperture 105: Sep 5 14:06: Total variance weighted spectrum flux is 8218.823 Sep 5 14:06: Total unweighted spectrum flux is 1568.331 Sep 5 14:06: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1908218 Sep 5 14:06: EXTRACT: WARNING - Aperture 106: Sep 5 14:06: Total variance weighted spectrum flux is 3169.761 Sep 5 14:06: Total unweighted spectrum flux is 1397.737 Sep 5 14:06: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4409599 Sep 5 14:06: EXTRACT: WARNING - Aperture 107: Sep 5 14:06: Total variance weighted spectrum flux is 12101.32 Sep 5 14:06: Total unweighted spectrum flux is 3881.266 Sep 5 14:06: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3207307 Sep 5 14:06: EXTRACT: WARNING - Aperture 108: Sep 5 14:06: Total variance weighted spectrum flux is 3642.587 Sep 5 14:06: Total unweighted spectrum flux is -379.4736 Sep 5 14:06: Variance spectrum bias factor ignored Sep 5 14:06: EXTRACT: WARNING - Aperture 109: Sep 5 14:06: Total variance weighted spectrum flux is 6513.849 Sep 5 14:06: Total unweighted spectrum flux is -703.3267 Sep 5 14:06: Variance spectrum bias factor ignored Sep 5 14:06: EXTRACT: WARNING - Aperture 110: Sep 5 14:06: Total variance weighted spectrum flux is 7062.104 Sep 5 14:06: Total unweighted spectrum flux is -2379.443 Sep 5 14:06: Variance spectrum bias factor ignored Sep 5 14:06: EXTRACT: WARNING - Aperture 111: Sep 5 14:06: Total variance weighted spectrum flux is 4103.831 Sep 5 14:06: Total unweighted spectrum flux is -848.6209 Sep 5 14:06: Variance spectrum bias factor ignored Sep 5 14:06: EXTRACT: WARNING - Aperture 112: Sep 5 14:06: Total variance weighted spectrum flux is 4027.431 Sep 5 14:06: Total unweighted spectrum flux is 971.2723 Sep 5 14:06: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2411643 Sep 5 14:06: EXTRACT: WARNING - Aperture 113: Sep 5 14:06: Total variance weighted spectrum flux is 4190.701 Sep 5 14:06: Total unweighted spectrum flux is 629.676 Sep 5 14:06: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1502555 Resampling the object by a factor of 4 in the y direction... 140902.0030 Magnify image 140902.0030 to image 140902.0030. 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 140902.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0030 -> noscat140902.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:07: EXTRACT: WARNING - Aperture 94: Sep 5 14:07: Total variance weighted spectrum flux is 9567.247 Sep 5 14:07: Total unweighted spectrum flux is 4068.39 Sep 5 14:07: EXTRACT: Aperture 94 variance spectrum bias factor is 0.4252414 Sep 5 14:07: EXTRACT: WARNING - Aperture 95: Sep 5 14:07: Total variance weighted spectrum flux is 8008.333 Sep 5 14:07: Total unweighted spectrum flux is -817.3168 Sep 5 14:07: Variance spectrum bias factor ignored Sep 5 14:07: EXTRACT: WARNING - Aperture 96: Sep 5 14:07: Total variance weighted spectrum flux is 12674.38 Sep 5 14:07: Total unweighted spectrum flux is 4793.35 Sep 5 14:07: EXTRACT: Aperture 96 variance spectrum bias factor is 0.3781921 Sep 5 14:07: EXTRACT: WARNING - Aperture 100: Sep 5 14:07: Total variance weighted spectrum flux is 3721.653 Sep 5 14:07: Total unweighted spectrum flux is -1010.965 Sep 5 14:07: Variance spectrum bias factor ignored Sep 5 14:07: EXTRACT: WARNING - Aperture 102: Sep 5 14:07: Total variance weighted spectrum flux is 8129.447 Sep 5 14:07: Total unweighted spectrum flux is 2580.444 Sep 5 14:07: EXTRACT: Aperture 102 variance spectrum bias factor is 0.3174194 Sep 5 14:07: EXTRACT: WARNING - Aperture 103: Sep 5 14:07: Total variance weighted spectrum flux is 11870.9 Sep 5 14:07: Total unweighted spectrum flux is 4800.527 Sep 5 14:07: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4043947 Sep 5 14:07: EXTRACT: WARNING - Aperture 104: Sep 5 14:07: Total variance weighted spectrum flux is 6243.208 Sep 5 14:07: Total unweighted spectrum flux is 2420.622 Sep 5 14:07: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3877209 Sep 5 14:07: EXTRACT: WARNING - Aperture 105: Sep 5 14:07: Total variance weighted spectrum flux is 5536.809 Sep 5 14:07: Total unweighted spectrum flux is 1838.509 Sep 5 14:07: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3320521 Sep 5 14:07: EXTRACT: WARNING - Aperture 106: Sep 5 14:07: Total variance weighted spectrum flux is 2909.086 Sep 5 14:07: Total unweighted spectrum flux is -956.4732 Sep 5 14:07: Variance spectrum bias factor ignored Sep 5 14:07: EXTRACT: WARNING - Aperture 107: Sep 5 14:07: Total variance weighted spectrum flux is 8578.098 Sep 5 14:07: Total unweighted spectrum flux is 2325.483 Sep 5 14:07: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2710954 Sep 5 14:07: EXTRACT: WARNING - Aperture 108: Sep 5 14:07: Total variance weighted spectrum flux is 7541.892 Sep 5 14:07: Total unweighted spectrum flux is 3396.326 Sep 5 14:07: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4503281 Sep 5 14:07: EXTRACT: WARNING - Aperture 109: Sep 5 14:07: Total variance weighted spectrum flux is 7652.732 Sep 5 14:07: Total unweighted spectrum flux is 1186.258 Sep 5 14:07: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1550111 Sep 5 14:07: EXTRACT: WARNING - Aperture 110: Sep 5 14:07: Total variance weighted spectrum flux is 4945.764 Sep 5 14:07: Total unweighted spectrum flux is -1295.701 Sep 5 14:07: Variance spectrum bias factor ignored Sep 5 14:07: EXTRACT: WARNING - Aperture 111: Sep 5 14:07: Total variance weighted spectrum flux is 3592.264 Sep 5 14:07: Total unweighted spectrum flux is 739.9766 Sep 5 14:07: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2059917 Sep 5 14:07: EXTRACT: WARNING - Aperture 112: Sep 5 14:07: Total variance weighted spectrum flux is 3694.12 Sep 5 14:07: Total unweighted spectrum flux is 627.6545 Sep 5 14:07: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1699064 Sep 5 14:07: EXTRACT: WARNING - Aperture 113: Sep 5 14:07: Total variance weighted spectrum flux is 4599.231 Sep 5 14:07: Total unweighted spectrum flux is -476.6191 Sep 5 14:07: Variance spectrum bias factor ignored Sep 5 14:07: EXTRACT: WARNING - Aperture 114: Sep 5 14:07: Total variance weighted spectrum flux is 126.8988 Sep 5 14:07: Total unweighted spectrum flux is -74.35638 Sep 5 14:07: Variance spectrum bias factor ignored Sep 5 14:07: EXTRACT: WARNING - Aperture 115: Sep 5 14:07: Total variance weighted spectrum flux is 618.9989 Sep 5 14:07: Total unweighted spectrum flux is 184.7283 Sep 5 14:07: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2984307 Resampling the object by a factor of 4 in the y direction... 140902.0031 Magnify image 140902.0031 to image 140902.0031. 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 140902.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140902.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140902.0031 -> noscat140902.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Sep 5 14:08: EXTRACT: WARNING - Aperture 105: Sep 5 14:08: Total variance weighted spectrum flux is 4638.833 Sep 5 14:08: Total unweighted spectrum flux is 334.9949 Sep 5 14:08: EXTRACT: Aperture 105 variance spectrum bias factor is 0.07221533 Sep 5 14:08: EXTRACT: WARNING - Aperture 110: Sep 5 14:08: Total variance weighted spectrum flux is 9008.333 Sep 5 14:08: Total unweighted spectrum flux is 3995.615 Sep 5 14:08: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4435466 Sep 5 14:08: EXTRACT: WARNING - Aperture 111: Sep 5 14:08: Total variance weighted spectrum flux is 2845.501 Sep 5 14:08: Total unweighted spectrum flux is 832.6907 Sep 5 14:08: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2926341 Sep 5 14:08: EXTRACT: WARNING - Aperture 112: Sep 5 14:08: Total variance weighted spectrum flux is 3061.348 Sep 5 14:08: Total unweighted spectrum flux is -301.3237 Sep 5 14:08: Variance spectrum bias factor ignored Sep 5 14:08: EXTRACT: WARNING - Aperture 113: Sep 5 14:08: Total variance weighted spectrum flux is 2319.903 Sep 5 14:08: Total unweighted spectrum flux is -599.0496 Sep 5 14:08: Variance spectrum bias factor ignored Sep 5 14:08: EXTRACT: WARNING - Aperture 115: Sep 5 14:08: Total variance weighted spectrum flux is 619.4211 Sep 5 14:08: Total unweighted spectrum flux is -21.27606 Sep 5 14:08: Variance spectrum bias factor ignored add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,REFSPEC1 = EchelleThAr.0018.ec.fits EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,REFSPEC1 = EchelleThAr.0019.ec.fits EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.ec.fits updated add EchelleThAr.0026.ec.fits,REFSPEC1 = EchelleThAr.0026.ec.fits EchelleThAr.0026.ec.fits updated add EchelleThAr.0032.ec.fits,REFSPEC1 = EchelleThAr.0032.ec.fits EchelleThAr.0032.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0017.ec.fits,UTMIDDLE = 0 EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 0 -> 02:17:01.481051 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 02:19:53.071250 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 02:22:56.755790 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 02:25:59.223776 EchelleThAr.0020.ec.fits updated add EchelleThAr.0026.ec.fits,UTMIDDLE = 0 EchelleThAr.0026.ec.fits updated EchelleThAr.0026.ec.fits,UTMIDDLE: 0 -> 05:06:34.498262 EchelleThAr.0026.ec.fits updated add EchelleThAr.0032.ec.fits,UTMIDDLE = 0 EchelleThAr.0032.ec.fits updated EchelleThAr.0032.ec.fits,UTMIDDLE: 0 -> 07:06:35.420804 EchelleThAr.0032.ec.fits updated add 140902.0021.ec.fits,UTMIDDLE = 0 140902.0021.ec.fits updated 140902.0021.ec.fits,UTMIDDLE: 0 -> 03:09:16.661825 140902.0021.ec.fits updated add 140902.0022.ec.fits,UTMIDDLE = 0 140902.0022.ec.fits updated 140902.0022.ec.fits,UTMIDDLE: 0 -> 03:30:15.200886 140902.0022.ec.fits updated add 140902.0023.ec.fits,UTMIDDLE = 0 140902.0023.ec.fits updated 140902.0023.ec.fits,UTMIDDLE: 0 -> 03:55:41.642027 140902.0023.ec.fits updated add 140902.0024.ec.fits,UTMIDDLE = 0 140902.0024.ec.fits updated 140902.0024.ec.fits,UTMIDDLE: 0 -> 04:24:48.183943 140902.0024.ec.fits updated add 140902.0025.ec.fits,UTMIDDLE = 0 140902.0025.ec.fits updated 140902.0025.ec.fits,UTMIDDLE: 0 -> 04:51:10.041046 140902.0025.ec.fits updated add 140902.0027.ec.fits,UTMIDDLE = 0 140902.0027.ec.fits updated 140902.0027.ec.fits,UTMIDDLE: 0 -> 05:20:46.620903 140902.0027.ec.fits updated add 140902.0028.ec.fits,UTMIDDLE = 0 140902.0028.ec.fits updated 140902.0028.ec.fits,UTMIDDLE: 0 -> 05:41:11.187778 140902.0028.ec.fits updated add 140902.0029.ec.fits,UTMIDDLE = 0 140902.0029.ec.fits updated 140902.0029.ec.fits,UTMIDDLE: 0 -> 06:04:34.999522 140902.0029.ec.fits updated add 140902.0030.ec.fits,UTMIDDLE = 0 140902.0030.ec.fits updated 140902.0030.ec.fits,UTMIDDLE: 0 -> 06:32:55.469071 140902.0030.ec.fits updated add 140902.0031.ec.fits,UTMIDDLE = 0 140902.0031.ec.fits updated 140902.0031.ec.fits,UTMIDDLE: 0 -> 06:55:54.583812 140902.0031.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 140902.0021.ec.fits 2456902.63144 2456902.63373 2456902 140902.0022.ec.fits 2456902.64601 2456902.64851 2456902 140902.0023.ec.fits 2456902.66368 2456902.66594 2456902 140902.0024.ec.fits 2456902.68389 2456902.68640 2456902 140902.0025.ec.fits 2456902.70220 2456902.70394 2456902 140902.0027.ec.fits 2456902.72276 2456902.72498 2456902 140902.0028.ec.fits 2456902.73694 2456902.73947 2456902 140902.0029.ec.fits 2456902.75318 2456902.75561 2456902 140902.0030.ec.fits 2456902.77286 2456902.77508 2456902 140902.0031.ec.fits 2456902.78883 2456902.79115 2456902 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Fri 14:08:28 05-Sep-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 943/2055 943/943 3.7 -27.1 -4.8E-5 0.0141 EchelleThAr.0018.ec 1768/2055 1768/1768 3.72 -27.3 -4.8E-5 0.0122 EchelleThAr.0019.ec 1738/2055 1738/1738 3.75 -27.5 -4.8E-5 0.0122 EchelleThAr.0020.ec 1775/2055 1775/1775 3.77 -27.7 -4.9E-5 0.0121 EchelleThAr.0026.ec 1781/2055 1781/1781 3.89 -28.5 -5.0E-5 0.0119 EchelleThAr.0032.ec 1814/2055 1814/1814 3.76 -27.5 -4.9E-5 0.0109 [140902.0021.ec] refspec1='EchelleThAr.0020.ec 0.73042405' [140902.0021.ec] refspec2='EchelleThAr.0026.ec 0.26957592' [140902.0022.ec] refspec1='EchelleThAr.0020.ec 0.59980619' [140902.0022.ec] refspec2='EchelleThAr.0026.ec 0.40019381' [140902.0023.ec] refspec1='EchelleThAr.0020.ec 0.44138402' [140902.0023.ec] refspec2='EchelleThAr.0026.ec 0.55861598' [140902.0024.ec] refspec1='EchelleThAr.0020.ec 0.26011863' [140902.0024.ec] refspec2='EchelleThAr.0026.ec 0.7398814' [140902.0025.ec] refspec1='EchelleThAr.0020.ec 0.095945083' [140902.0025.ec] refspec2='EchelleThAr.0026.ec 0.90405494' [140902.0027.ec] refspec1='EchelleThAr.0026.ec 0.88166481' [140902.0027.ec] refspec2='EchelleThAr.0032.ec 0.1183352' [140902.0028.ec] refspec1='EchelleThAr.0026.ec 0.71160787' [140902.0028.ec] refspec2='EchelleThAr.0032.ec 0.28839216' [140902.0029.ec] refspec1='EchelleThAr.0026.ec 0.51665896' [140902.0029.ec] refspec2='EchelleThAr.0032.ec 0.48334101' [140902.0030.ec] refspec1='EchelleThAr.0026.ec 0.2805129' [140902.0030.ec] refspec2='EchelleThAr.0032.ec 0.71948707' [140902.0031.ec] refspec1='EchelleThAr.0026.ec 0.088993736' [140902.0031.ec] refspec2='EchelleThAr.0032.ec 0.91100627' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0019.ec] refspec1='EchelleThAr.0019.ec' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0026.ec] refspec1='EchelleThAr.0026.ec' [EchelleThAr.0032.ec] refspec1='EchelleThAr.0032.ec' 140902.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.73042405' 140902.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.26957592' 140902.0021.ec.fits: ap = 1, w1 = 10812.28, w2 = 10584.08, dw = -0.1383, nw = 1651 140902.0021.ec.fits: ap = 2, w1 = 10612.07, w2 = 10388.1, dw = -0.13574, nw = 1651 140902.0021.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.24, dw = -0.13327, nw = 1651 140902.0021.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.13, dw = -0.13089, nw = 1651 140902.0021.ec.fits: ap = 5, w1 = 10053.58, w2 = 9841.413, dw = -0.12859, nw = 1651 140902.0021.ec.fits: ap = 6, w1 = 9880.261, w2 = 9671.751, dw = -0.12637, nw = 1651 140902.0021.ec.fits: ap = 7, w1 = 9712.812, w2 = 9507.84, dw = -0.12423, nw = 1651 140902.0021.ec.fits: ap = 8, w1 = 9550.945, w2 = 9349.393, dw = -0.12215, nw = 1651 140902.0021.ec.fits: ap = 9, w1 = 9394.385, w2 = 9196.14, dw = -0.12015, nw = 1651 140902.0021.ec.fits: ap = 10, w1 = 9242.875, w2 = 9047.831, dw = -0.11821, nw = 1651 140902.0021.ec.fits: ap = 11, w1 = 9096.175, w2 = 8904.229, dw = -0.11633, nw = 1651 140902.0021.ec.fits: ap = 12, w1 = 8954.059, w2 = 8765.115, dw = -0.11451, nw = 1651 140902.0021.ec.fits: ap = 13, w1 = 8816.316, w2 = 8630.281, dw = -0.11275, nw = 1651 140902.0021.ec.fits: ap = 14, w1 = 8682.747, w2 = 8499.533, dw = -0.11104, nw = 1651 140902.0021.ec.fits: ap = 15, w1 = 8553.164, w2 = 8372.688, dw = -0.10938, nw = 1651 140902.0021.ec.fits: ap = 16, w1 = 8427.393, w2 = 8249.573, dw = -0.10777, nw = 1651 140902.0021.ec.fits: ap = 17, w1 = 8305.268, w2 = 8130.027, dw = -0.10621, nw = 1651 140902.0021.ec.fits: ap = 18, w1 = 8186.631, w2 = 8013.896, dw = -0.10469, nw = 1651 140902.0021.ec.fits: ap = 19, w1 = 8071.337, w2 = 7901.036, dw = -0.10321, nw = 1651 140902.0021.ec.fits: ap = 20, w1 = 7959.245, w2 = 7791.311, dw = -0.10178, nw = 1651 140902.0021.ec.fits: ap = 21, w1 = 7850.224, w2 = 7684.593, dw = -0.10038, nw = 1651 140902.0021.ec.fits: ap = 22, w1 = 7744.15, w2 = 7580.759, dw = -0.09902, nw = 1651 140902.0021.ec.fits: ap = 23, w1 = 7640.904, w2 = 7479.693, dw = -0.0977, nw = 1651 140902.0021.ec.fits: ap = 24, w1 = 7540.375, w2 = 7381.287, dw = -0.09642, nw = 1651 140902.0021.ec.fits: ap = 25, w1 = 7442.457, w2 = 7285.437, dw = -0.09516, nw = 1651 140902.0021.ec.fits: ap = 26, w1 = 7347.05, w2 = 7192.045, dw = -0.09394, nw = 1651 140902.0021.ec.fits: ap = 27, w1 = 7254.059, w2 = 7101.018, dw = -0.09275, nw = 1651 140902.0021.ec.fits: ap = 28, w1 = 7163.391, w2 = 7012.265, dw = -0.09159, nw = 1651 140902.0021.ec.fits: ap = 29, w1 = 7074.964, w2 = 6925.704, dw = -0.09046, nw = 1651 140902.0021.ec.fits: ap = 30, w1 = 6988.692, w2 = 6841.255, dw = -0.08936, nw = 1651 140902.0021.ec.fits: ap = 31, w1 = 6904.5, w2 = 6758.841, dw = -0.08828, nw = 1651 140902.0021.ec.fits: ap = 32, w1 = 6822.312, w2 = 6678.389, dw = -0.08723, nw = 1651 140902.0021.ec.fits: ap = 33, w1 = 6742.059, w2 = 6599.83, dw = -0.0862, nw = 1651 140902.0021.ec.fits: ap = 34, w1 = 6663.671, w2 = 6523.098, dw = -0.0852, nw = 1651 140902.0021.ec.fits: ap = 35, w1 = 6587.086, w2 = 6448.13, dw = -0.08422, nw = 1651 140902.0021.ec.fits: ap = 36, w1 = 6512.241, w2 = 6374.866, dw = -0.08326, nw = 1651 140902.0021.ec.fits: ap = 37, w1 = 6439.078, w2 = 6303.249, dw = -0.08232, nw = 1651 140902.0021.ec.fits: ap = 38, w1 = 6367.541, w2 = 6233.223, dw = -0.08141, nw = 1651 140902.0021.ec.fits: ap = 39, w1 = 6297.577, w2 = 6164.736, dw = -0.08051, nw = 1651 140902.0021.ec.fits: ap = 40, w1 = 6229.133, w2 = 6097.738, dw = -0.07963, nw = 1651 140902.0021.ec.fits: ap = 41, w1 = 6162.162, w2 = 6032.181, dw = -0.07878, nw = 1651 140902.0021.ec.fits: ap = 42, w1 = 6096.615, w2 = 5968.019, dw = -0.07794, nw = 1651 140902.0021.ec.fits: ap = 43, w1 = 6032.448, w2 = 5905.208, dw = -0.07712, nw = 1651 140902.0021.ec.fits: ap = 44, w1 = 5969.619, w2 = 5843.706, dw = -0.07631, nw = 1651 140902.0021.ec.fits: ap = 45, w1 = 5908.084, w2 = 5783.472, dw = -0.07552, nw = 1651 140902.0021.ec.fits: ap = 46, w1 = 5847.806, w2 = 5724.467, dw = -0.07475, nw = 1651 140902.0021.ec.fits: ap = 47, w1 = 5788.745, w2 = 5666.654, dw = -0.07399, nw = 1651 140902.0021.ec.fits: ap = 48, w1 = 5730.866, w2 = 5609.997, dw = -0.07325, nw = 1651 140902.0021.ec.fits: ap = 49, w1 = 5674.133, w2 = 5554.463, dw = -0.07253, nw = 1651 140902.0021.ec.fits: ap = 50, w1 = 5618.513, w2 = 5500.018, dw = -0.07182, nw = 1651 140902.0021.ec.fits: ap = 51, w1 = 5563.972, w2 = 5446.63, dw = -0.07112, nw = 1651 140902.0021.ec.fits: ap = 52, w1 = 5510.48, w2 = 5394.268, dw = -0.07043, nw = 1651 140902.0021.ec.fits: ap = 53, w1 = 5458.009, w2 = 5342.905, dw = -0.06976, nw = 1651 140902.0021.ec.fits: ap = 54, w1 = 5406.526, w2 = 5292.511, dw = -0.0691, nw = 1651 140902.0021.ec.fits: ap = 55, w1 = 5356.006, w2 = 5243.059, dw = -0.06845, nw = 1651 140902.0021.ec.fits: ap = 56, w1 = 5306.422, w2 = 5194.522, dw = -0.06782, nw = 1651 140902.0021.ec.fits: ap = 57, w1 = 5257.747, w2 = 5146.876, dw = -0.06719, nw = 1651 140902.0021.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.097, dw = -0.06658, nw = 1651 140902.0021.ec.fits: ap = 59, w1 = 5163.029, w2 = 5054.16, dw = -0.06598, nw = 1651 140902.0021.ec.fits: ap = 60, w1 = 5116.939, w2 = 5009.044, dw = -0.06539, nw = 1651 140902.0021.ec.fits: ap = 61, w1 = 5071.665, w2 = 4964.727, dw = -0.06481, nw = 1651 140902.0021.ec.fits: ap = 62, w1 = 5027.185, w2 = 4921.187, dw = -0.06424, nw = 1651 140902.0021.ec.fits: ap = 63, w1 = 4983.478, w2 = 4878.404, dw = -0.06368, nw = 1651 140902.0021.ec.fits: ap = 64, w1 = 4940.526, w2 = 4836.36, dw = -0.06313, nw = 1651 140902.0021.ec.fits: ap = 65, w1 = 4898.307, w2 = 4795.034, dw = -0.06259, nw = 1651 140902.0021.ec.fits: ap = 66, w1 = 4856.804, w2 = 4754.408, dw = -0.06206, nw = 1651 140902.0021.ec.fits: ap = 67, w1 = 4815.999, w2 = 4714.465, dw = -0.06154, nw = 1651 140902.0021.ec.fits: ap = 68, w1 = 4775.874, w2 = 4675.189, dw = -0.06102, nw = 1651 140902.0021.ec.fits: ap = 69, w1 = 4736.412, w2 = 4636.561, dw = -0.06052, nw = 1651 140902.0021.ec.fits: ap = 70, w1 = 4697.598, w2 = 4598.567, dw = -0.06002, nw = 1651 140902.0021.ec.fits: ap = 71, w1 = 4659.414, w2 = 4561.19, dw = -0.05953, nw = 1651 140902.0021.ec.fits: ap = 72, w1 = 4621.846, w2 = 4524.417, dw = -0.05905, nw = 1651 140902.0021.ec.fits: ap = 73, w1 = 4584.88, w2 = 4488.231, dw = -0.05857, nw = 1651 140902.0021.ec.fits: ap = 74, w1 = 4548.5, w2 = 4452.621, dw = -0.05811, nw = 1651 140902.0021.ec.fits: ap = 75, w1 = 4512.693, w2 = 4417.571, dw = -0.05765, nw = 1651 140902.0021.ec.fits: ap = 76, w1 = 4477.446, w2 = 4383.069, dw = -0.0572, nw = 1651 140902.0021.ec.fits: ap = 77, w1 = 4442.745, w2 = 4349.101, dw = -0.05675, nw = 1651 140902.0021.ec.fits: ap = 78, w1 = 4408.579, w2 = 4315.657, dw = -0.05632, nw = 1651 140902.0021.ec.fits: ap = 79, w1 = 4374.933, w2 = 4282.723, dw = -0.05589, nw = 1651 140902.0021.ec.fits: ap = 80, w1 = 4341.798, w2 = 4250.288, dw = -0.05546, nw = 1651 140902.0021.ec.fits: ap = 81, w1 = 4309.161, w2 = 4218.34, dw = -0.05504, nw = 1651 140902.0021.ec.fits: ap = 82, w1 = 4277.011, w2 = 4186.87, dw = -0.05463, nw = 1651 140902.0021.ec.fits: ap = 83, w1 = 4245.338, w2 = 4155.866, dw = -0.05423, nw = 1651 140902.0021.ec.fits: ap = 84, w1 = 4214.13, w2 = 4125.317, dw = -0.05383, nw = 1651 140902.0021.ec.fits: ap = 85, w1 = 4183.378, w2 = 4095.215, dw = -0.05343, nw = 1651 140902.0021.ec.fits: ap = 86, w1 = 4153.072, w2 = 4065.549, dw = -0.05304, nw = 1651 140902.0021.ec.fits: ap = 87, w1 = 4123.201, w2 = 4036.309, dw = -0.05266, nw = 1651 140902.0021.ec.fits: ap = 88, w1 = 4093.758, w2 = 4007.488, dw = -0.05229, nw = 1651 140902.0021.ec.fits: ap = 89, w1 = 4064.732, w2 = 3979.075, dw = -0.05191, nw = 1651 140902.0021.ec.fits: ap = 90, w1 = 4036.115, w2 = 3951.062, dw = -0.05155, nw = 1651 140902.0021.ec.fits: ap = 91, w1 = 4007.898, w2 = 3923.441, dw = -0.05119, nw = 1651 140902.0021.ec.fits: ap = 92, w1 = 3980.073, w2 = 3896.203, dw = -0.05083, nw = 1651 140902.0021.ec.fits: ap = 93, w1 = 3952.632, w2 = 3869.341, dw = -0.05048, nw = 1651 140902.0021.ec.fits: ap = 94, w1 = 3925.567, w2 = 3842.847, dw = -0.05013, nw = 1651 140902.0021.ec.fits: ap = 95, w1 = 3898.87, w2 = 3816.713, dw = -0.04979, nw = 1651 140902.0021.ec.fits: ap = 96, w1 = 3872.534, w2 = 3790.933, dw = -0.04946, nw = 1651 140902.0021.ec.fits: ap = 97, w1 = 3846.551, w2 = 3765.498, dw = -0.04912, nw = 1651 140902.0021.ec.fits: ap = 98, w1 = 3820.915, w2 = 3740.403, dw = -0.0488, nw = 1651 140902.0021.ec.fits: ap = 99, w1 = 3795.618, w2 = 3715.639, dw = -0.04847, nw = 1651 140902.0021.ec.fits: ap = 100, w1 = 3770.654, w2 = 3691.201, dw = -0.04815, nw = 1651 140902.0021.ec.fits: ap = 101, w1 = 3746.017, w2 = 3667.083, dw = -0.04784, nw = 1651 140902.0021.ec.fits: ap = 102, w1 = 3721.699, w2 = 3643.277, dw = -0.04753, nw = 1651 140902.0021.ec.fits: ap = 103, w1 = 3697.695, w2 = 3619.779, dw = -0.04722, nw = 1651 140902.0021.ec.fits: ap = 104, w1 = 3673.999, w2 = 3596.581, dw = -0.04692, nw = 1651 140902.0021.ec.fits: ap = 105, w1 = 3650.605, w2 = 3573.679, dw = -0.04662, nw = 1651 140902.0021.ec.fits: ap = 106, w1 = 3627.506, w2 = 3551.067, dw = -0.04633, nw = 1651 140902.0021.ec.fits: ap = 107, w1 = 3604.698, w2 = 3528.739, dw = -0.04604, nw = 1651 140902.0021.ec.fits: ap = 108, w1 = 3582.176, w2 = 3506.69, dw = -0.04575, nw = 1651 140902.0021.ec.fits: ap = 109, w1 = 3559.933, w2 = 3484.914, dw = -0.04547, nw = 1651 140902.0021.ec.fits: ap = 110, w1 = 3537.964, w2 = 3463.407, dw = -0.04519, nw = 1651 140902.0021.ec.fits: ap = 111, w1 = 3516.265, w2 = 3442.164, dw = -0.04491, nw = 1651 140902.0021.ec.fits: ap = 112, w1 = 3494.831, w2 = 3421.18, dw = -0.04464, nw = 1651 140902.0021.ec.fits: ap = 113, w1 = 3473.656, w2 = 3400.449, dw = -0.04437, nw = 1651 140902.0021.ec.fits: ap = 114, w1 = 3452.736, w2 = 3379.968, dw = -0.0441, nw = 1651 140902.0021.ec.fits: ap = 115, w1 = 3432.067, w2 = 3359.732, dw = -0.04384, nw = 1651 140902.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.59980619' 140902.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.40019381' 140902.0022.ec.fits: ap = 1, w1 = 10812.29, w2 = 10584.09, dw = -0.13831, nw = 1651 140902.0022.ec.fits: ap = 2, w1 = 10612.08, w2 = 10388.11, dw = -0.13574, nw = 1651 140902.0022.ec.fits: ap = 3, w1 = 10419.15, w2 = 10199.25, dw = -0.13327, nw = 1651 140902.0022.ec.fits: ap = 4, w1 = 10233.11, w2 = 10017.14, dw = -0.13089, nw = 1651 140902.0022.ec.fits: ap = 5, w1 = 10053.59, w2 = 9841.418, dw = -0.12859, nw = 1651 140902.0022.ec.fits: ap = 6, w1 = 9880.267, w2 = 9671.755, dw = -0.12637, nw = 1651 140902.0022.ec.fits: ap = 7, w1 = 9712.817, w2 = 9507.844, dw = -0.12423, nw = 1651 140902.0022.ec.fits: ap = 8, w1 = 9550.95, w2 = 9349.396, dw = -0.12215, nw = 1651 140902.0022.ec.fits: ap = 9, w1 = 9394.389, w2 = 9196.143, dw = -0.12015, nw = 1651 140902.0022.ec.fits: ap = 10, w1 = 9242.879, w2 = 9047.833, dw = -0.11821, nw = 1651 140902.0022.ec.fits: ap = 11, w1 = 9096.179, w2 = 8904.231, dw = -0.11633, nw = 1651 140902.0022.ec.fits: ap = 12, w1 = 8954.062, w2 = 8765.117, dw = -0.11451, nw = 1651 140902.0022.ec.fits: ap = 13, w1 = 8816.319, w2 = 8630.283, dw = -0.11275, nw = 1651 140902.0022.ec.fits: ap = 14, w1 = 8682.749, w2 = 8499.534, dw = -0.11104, nw = 1651 140902.0022.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.689, dw = -0.10938, nw = 1651 140902.0022.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.574, dw = -0.10777, nw = 1651 140902.0022.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.028, dw = -0.10621, nw = 1651 140902.0022.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.897, dw = -0.10469, nw = 1651 140902.0022.ec.fits: ap = 19, w1 = 8071.339, w2 = 7901.037, dw = -0.10321, nw = 1651 140902.0022.ec.fits: ap = 20, w1 = 7959.247, w2 = 7791.312, dw = -0.10178, nw = 1651 140902.0022.ec.fits: ap = 21, w1 = 7850.226, w2 = 7684.594, dw = -0.10038, nw = 1651 140902.0022.ec.fits: ap = 22, w1 = 7744.152, w2 = 7580.759, dw = -0.09903, nw = 1651 140902.0022.ec.fits: ap = 23, w1 = 7640.906, w2 = 7479.694, dw = -0.0977, nw = 1651 140902.0022.ec.fits: ap = 24, w1 = 7540.377, w2 = 7381.288, dw = -0.09642, nw = 1651 140902.0022.ec.fits: ap = 25, w1 = 7442.459, w2 = 7285.438, dw = -0.09516, nw = 1651 140902.0022.ec.fits: ap = 26, w1 = 7347.052, w2 = 7192.046, dw = -0.09394, nw = 1651 140902.0022.ec.fits: ap = 27, w1 = 7254.061, w2 = 7101.018, dw = -0.09275, nw = 1651 140902.0022.ec.fits: ap = 28, w1 = 7163.393, w2 = 7012.266, dw = -0.09159, nw = 1651 140902.0022.ec.fits: ap = 29, w1 = 7074.965, w2 = 6925.705, dw = -0.09046, nw = 1651 140902.0022.ec.fits: ap = 30, w1 = 6988.694, w2 = 6841.256, dw = -0.08936, nw = 1651 140902.0022.ec.fits: ap = 31, w1 = 6904.502, w2 = 6758.842, dw = -0.08828, nw = 1651 140902.0022.ec.fits: ap = 32, w1 = 6822.314, w2 = 6678.39, dw = -0.08723, nw = 1651 140902.0022.ec.fits: ap = 33, w1 = 6742.06, w2 = 6599.831, dw = -0.0862, nw = 1651 140902.0022.ec.fits: ap = 34, w1 = 6663.673, w2 = 6523.099, dw = -0.0852, nw = 1651 140902.0022.ec.fits: ap = 35, w1 = 6587.088, w2 = 6448.131, dw = -0.08422, nw = 1651 140902.0022.ec.fits: ap = 36, w1 = 6512.243, w2 = 6374.868, dw = -0.08326, nw = 1651 140902.0022.ec.fits: ap = 37, w1 = 6439.08, w2 = 6303.25, dw = -0.08232, nw = 1651 140902.0022.ec.fits: ap = 38, w1 = 6367.543, w2 = 6233.224, dw = -0.08141, nw = 1651 140902.0022.ec.fits: ap = 39, w1 = 6297.579, w2 = 6164.737, dw = -0.08051, nw = 1651 140902.0022.ec.fits: ap = 40, w1 = 6229.135, w2 = 6097.74, dw = -0.07963, nw = 1651 140902.0022.ec.fits: ap = 41, w1 = 6162.163, w2 = 6032.183, dw = -0.07878, nw = 1651 140902.0022.ec.fits: ap = 42, w1 = 6096.617, w2 = 5968.021, dw = -0.07794, nw = 1651 140902.0022.ec.fits: ap = 43, w1 = 6032.45, w2 = 5905.21, dw = -0.07712, nw = 1651 140902.0022.ec.fits: ap = 44, w1 = 5969.62, w2 = 5843.707, dw = -0.07631, nw = 1651 140902.0022.ec.fits: ap = 45, w1 = 5908.086, w2 = 5783.473, dw = -0.07552, nw = 1651 140902.0022.ec.fits: ap = 46, w1 = 5847.807, w2 = 5724.468, dw = -0.07475, nw = 1651 140902.0022.ec.fits: ap = 47, w1 = 5788.747, w2 = 5666.655, dw = -0.07399, nw = 1651 140902.0022.ec.fits: ap = 48, w1 = 5730.867, w2 = 5609.999, dw = -0.07325, nw = 1651 140902.0022.ec.fits: ap = 49, w1 = 5674.134, w2 = 5554.464, dw = -0.07253, nw = 1651 140902.0022.ec.fits: ap = 50, w1 = 5618.514, w2 = 5500.019, dw = -0.07181, nw = 1651 140902.0022.ec.fits: ap = 51, w1 = 5563.973, w2 = 5446.631, dw = -0.07112, nw = 1651 140902.0022.ec.fits: ap = 52, w1 = 5510.481, w2 = 5394.27, dw = -0.07043, nw = 1651 140902.0022.ec.fits: ap = 53, w1 = 5458.009, w2 = 5342.907, dw = -0.06976, nw = 1651 140902.0022.ec.fits: ap = 54, w1 = 5406.527, w2 = 5292.512, dw = -0.0691, nw = 1651 140902.0022.ec.fits: ap = 55, w1 = 5356.007, w2 = 5243.06, dw = -0.06845, nw = 1651 140902.0022.ec.fits: ap = 56, w1 = 5306.422, w2 = 5194.523, dw = -0.06782, nw = 1651 140902.0022.ec.fits: ap = 57, w1 = 5257.747, w2 = 5146.877, dw = -0.06719, nw = 1651 140902.0022.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.098, dw = -0.06658, nw = 1651 140902.0022.ec.fits: ap = 59, w1 = 5163.029, w2 = 5054.161, dw = -0.06598, nw = 1651 140902.0022.ec.fits: ap = 60, w1 = 5116.939, w2 = 5009.045, dw = -0.06539, nw = 1651 140902.0022.ec.fits: ap = 61, w1 = 5071.664, w2 = 4964.728, dw = -0.06481, nw = 1651 140902.0022.ec.fits: ap = 62, w1 = 5027.184, w2 = 4921.188, dw = -0.06424, nw = 1651 140902.0022.ec.fits: ap = 63, w1 = 4983.478, w2 = 4878.405, dw = -0.06368, nw = 1651 140902.0022.ec.fits: ap = 64, w1 = 4940.525, w2 = 4836.36, dw = -0.06313, nw = 1651 140902.0022.ec.fits: ap = 65, w1 = 4898.306, w2 = 4795.034, dw = -0.06259, nw = 1651 140902.0022.ec.fits: ap = 66, w1 = 4856.803, w2 = 4754.408, dw = -0.06206, nw = 1651 140902.0022.ec.fits: ap = 67, w1 = 4815.998, w2 = 4714.466, dw = -0.06153, nw = 1651 140902.0022.ec.fits: ap = 68, w1 = 4775.873, w2 = 4675.189, dw = -0.06102, nw = 1651 140902.0022.ec.fits: ap = 69, w1 = 4736.411, w2 = 4636.561, dw = -0.06051, nw = 1651 140902.0022.ec.fits: ap = 70, w1 = 4697.596, w2 = 4598.567, dw = -0.06002, nw = 1651 140902.0022.ec.fits: ap = 71, w1 = 4659.412, w2 = 4561.19, dw = -0.05953, nw = 1651 140902.0022.ec.fits: ap = 72, w1 = 4621.844, w2 = 4524.417, dw = -0.05905, nw = 1651 140902.0022.ec.fits: ap = 73, w1 = 4584.878, w2 = 4488.231, dw = -0.05857, nw = 1651 140902.0022.ec.fits: ap = 74, w1 = 4548.498, w2 = 4452.621, dw = -0.05811, nw = 1651 140902.0022.ec.fits: ap = 75, w1 = 4512.691, w2 = 4417.571, dw = -0.05765, nw = 1651 140902.0022.ec.fits: ap = 76, w1 = 4477.444, w2 = 4383.068, dw = -0.0572, nw = 1651 140902.0022.ec.fits: ap = 77, w1 = 4442.743, w2 = 4349.101, dw = -0.05675, nw = 1651 140902.0022.ec.fits: ap = 78, w1 = 4408.576, w2 = 4315.656, dw = -0.05631, nw = 1651 140902.0022.ec.fits: ap = 79, w1 = 4374.931, w2 = 4282.722, dw = -0.05588, nw = 1651 140902.0022.ec.fits: ap = 80, w1 = 4341.795, w2 = 4250.287, dw = -0.05546, nw = 1651 140902.0022.ec.fits: ap = 81, w1 = 4309.158, w2 = 4218.34, dw = -0.05504, nw = 1651 140902.0022.ec.fits: ap = 82, w1 = 4277.008, w2 = 4186.869, dw = -0.05463, nw = 1651 140902.0022.ec.fits: ap = 83, w1 = 4245.335, w2 = 4155.865, dw = -0.05422, nw = 1651 140902.0022.ec.fits: ap = 84, w1 = 4214.127, w2 = 4125.317, dw = -0.05382, nw = 1651 140902.0022.ec.fits: ap = 85, w1 = 4183.375, w2 = 4095.214, dw = -0.05343, nw = 1651 140902.0022.ec.fits: ap = 86, w1 = 4153.069, w2 = 4065.548, dw = -0.05304, nw = 1651 140902.0022.ec.fits: ap = 87, w1 = 4123.199, w2 = 4036.309, dw = -0.05266, nw = 1651 140902.0022.ec.fits: ap = 88, w1 = 4093.755, w2 = 4007.487, dw = -0.05228, nw = 1651 140902.0022.ec.fits: ap = 89, w1 = 4064.729, w2 = 3979.074, dw = -0.05191, nw = 1651 140902.0022.ec.fits: ap = 90, w1 = 4036.112, w2 = 3951.061, dw = -0.05155, nw = 1651 140902.0022.ec.fits: ap = 91, w1 = 4007.896, w2 = 3923.44, dw = -0.05119, nw = 1651 140902.0022.ec.fits: ap = 92, w1 = 3980.071, w2 = 3896.203, dw = -0.05083, nw = 1651 140902.0022.ec.fits: ap = 93, w1 = 3952.63, w2 = 3869.341, dw = -0.05048, nw = 1651 140902.0022.ec.fits: ap = 94, w1 = 3925.565, w2 = 3842.847, dw = -0.05013, nw = 1651 140902.0022.ec.fits: ap = 95, w1 = 3898.868, w2 = 3816.713, dw = -0.04979, nw = 1651 140902.0022.ec.fits: ap = 96, w1 = 3872.532, w2 = 3790.932, dw = -0.04945, nw = 1651 140902.0022.ec.fits: ap = 97, w1 = 3846.55, w2 = 3765.498, dw = -0.04912, nw = 1651 140902.0022.ec.fits: ap = 98, w1 = 3820.914, w2 = 3740.403, dw = -0.04879, nw = 1651 140902.0022.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.639, dw = -0.04847, nw = 1651 140902.0022.ec.fits: ap = 100, w1 = 3770.653, w2 = 3691.201, dw = -0.04815, nw = 1651 140902.0022.ec.fits: ap = 101, w1 = 3746.016, w2 = 3667.083, dw = -0.04784, nw = 1651 140902.0022.ec.fits: ap = 102, w1 = 3721.699, w2 = 3643.278, dw = -0.04753, nw = 1651 140902.0022.ec.fits: ap = 103, w1 = 3697.695, w2 = 3619.78, dw = -0.04722, nw = 1651 140902.0022.ec.fits: ap = 104, w1 = 3673.999, w2 = 3596.583, dw = -0.04692, nw = 1651 140902.0022.ec.fits: ap = 105, w1 = 3650.605, w2 = 3573.681, dw = -0.04662, nw = 1651 140902.0022.ec.fits: ap = 106, w1 = 3627.508, w2 = 3551.069, dw = -0.04633, nw = 1651 140902.0022.ec.fits: ap = 107, w1 = 3604.7, w2 = 3528.741, dw = -0.04604, nw = 1651 140902.0022.ec.fits: ap = 108, w1 = 3582.178, w2 = 3506.692, dw = -0.04575, nw = 1651 140902.0022.ec.fits: ap = 109, w1 = 3559.936, w2 = 3484.917, dw = -0.04547, nw = 1651 140902.0022.ec.fits: ap = 110, w1 = 3537.968, w2 = 3463.41, dw = -0.04519, nw = 1651 140902.0022.ec.fits: ap = 111, w1 = 3516.269, w2 = 3442.168, dw = -0.04491, nw = 1651 140902.0022.ec.fits: ap = 112, w1 = 3494.836, w2 = 3421.183, dw = -0.04464, nw = 1651 140902.0022.ec.fits: ap = 113, w1 = 3473.662, w2 = 3400.454, dw = -0.04437, nw = 1651 140902.0022.ec.fits: ap = 114, w1 = 3452.743, w2 = 3379.973, dw = -0.0441, nw = 1651 140902.0022.ec.fits: ap = 115, w1 = 3432.074, w2 = 3359.738, dw = -0.04384, nw = 1651 140902.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.44138402' 140902.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.55861598' 140902.0023.ec.fits: ap = 1, w1 = 10812.3, w2 = 10584.1, dw = -0.13831, nw = 1651 140902.0023.ec.fits: ap = 2, w1 = 10612.09, w2 = 10388.11, dw = -0.13574, nw = 1651 140902.0023.ec.fits: ap = 3, w1 = 10419.16, w2 = 10199.26, dw = -0.13327, nw = 1651 140902.0023.ec.fits: ap = 4, w1 = 10233.11, w2 = 10017.15, dw = -0.13089, nw = 1651 140902.0023.ec.fits: ap = 5, w1 = 10053.6, w2 = 9841.423, dw = -0.12859, nw = 1651 140902.0023.ec.fits: ap = 6, w1 = 9880.274, w2 = 9671.76, dw = -0.12637, nw = 1651 140902.0023.ec.fits: ap = 7, w1 = 9712.824, w2 = 9507.848, dw = -0.12423, nw = 1651 140902.0023.ec.fits: ap = 8, w1 = 9550.956, w2 = 9349.4, dw = -0.12216, nw = 1651 140902.0023.ec.fits: ap = 9, w1 = 9394.395, w2 = 9196.146, dw = -0.12015, nw = 1651 140902.0023.ec.fits: ap = 10, w1 = 9242.884, w2 = 9047.836, dw = -0.11821, nw = 1651 140902.0023.ec.fits: ap = 11, w1 = 9096.183, w2 = 8904.234, dw = -0.11633, nw = 1651 140902.0023.ec.fits: ap = 12, w1 = 8954.066, w2 = 8765.119, dw = -0.11451, nw = 1651 140902.0023.ec.fits: ap = 13, w1 = 8816.322, w2 = 8630.285, dw = -0.11275, nw = 1651 140902.0023.ec.fits: ap = 14, w1 = 8682.753, w2 = 8499.536, dw = -0.11104, nw = 1651 140902.0023.ec.fits: ap = 15, w1 = 8553.17, w2 = 8372.691, dw = -0.10938, nw = 1651 140902.0023.ec.fits: ap = 16, w1 = 8427.399, w2 = 8249.575, dw = -0.10777, nw = 1651 140902.0023.ec.fits: ap = 17, w1 = 8305.273, w2 = 8130.029, dw = -0.10621, nw = 1651 140902.0023.ec.fits: ap = 18, w1 = 8186.636, w2 = 8013.898, dw = -0.10469, nw = 1651 140902.0023.ec.fits: ap = 19, w1 = 8071.342, w2 = 7901.038, dw = -0.10321, nw = 1651 140902.0023.ec.fits: ap = 20, w1 = 7959.249, w2 = 7791.313, dw = -0.10178, nw = 1651 140902.0023.ec.fits: ap = 21, w1 = 7850.228, w2 = 7684.595, dw = -0.10038, nw = 1651 140902.0023.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.76, dw = -0.09903, nw = 1651 140902.0023.ec.fits: ap = 23, w1 = 7640.908, w2 = 7479.695, dw = -0.0977, nw = 1651 140902.0023.ec.fits: ap = 24, w1 = 7540.379, w2 = 7381.289, dw = -0.09642, nw = 1651 140902.0023.ec.fits: ap = 25, w1 = 7442.462, w2 = 7285.439, dw = -0.09516, nw = 1651 140902.0023.ec.fits: ap = 26, w1 = 7347.055, w2 = 7192.047, dw = -0.09394, nw = 1651 140902.0023.ec.fits: ap = 27, w1 = 7254.063, w2 = 7101.02, dw = -0.09275, nw = 1651 140902.0023.ec.fits: ap = 28, w1 = 7163.396, w2 = 7012.267, dw = -0.09159, nw = 1651 140902.0023.ec.fits: ap = 29, w1 = 7074.968, w2 = 6925.707, dw = -0.09046, nw = 1651 140902.0023.ec.fits: ap = 30, w1 = 6988.697, w2 = 6841.258, dw = -0.08936, nw = 1651 140902.0023.ec.fits: ap = 31, w1 = 6904.504, w2 = 6758.843, dw = -0.08828, nw = 1651 140902.0023.ec.fits: ap = 32, w1 = 6822.317, w2 = 6678.391, dw = -0.08723, nw = 1651 140902.0023.ec.fits: ap = 33, w1 = 6742.063, w2 = 6599.833, dw = -0.0862, nw = 1651 140902.0023.ec.fits: ap = 34, w1 = 6663.675, w2 = 6523.101, dw = -0.0852, nw = 1651 140902.0023.ec.fits: ap = 35, w1 = 6587.09, w2 = 6448.133, dw = -0.08422, nw = 1651 140902.0023.ec.fits: ap = 36, w1 = 6512.245, w2 = 6374.869, dw = -0.08326, nw = 1651 140902.0023.ec.fits: ap = 37, w1 = 6439.082, w2 = 6303.252, dw = -0.08232, nw = 1651 140902.0023.ec.fits: ap = 38, w1 = 6367.545, w2 = 6233.226, dw = -0.08141, nw = 1651 140902.0023.ec.fits: ap = 39, w1 = 6297.581, w2 = 6164.739, dw = -0.08051, nw = 1651 140902.0023.ec.fits: ap = 40, w1 = 6229.137, w2 = 6097.741, dw = -0.07963, nw = 1651 140902.0023.ec.fits: ap = 41, w1 = 6162.165, w2 = 6032.184, dw = -0.07878, nw = 1651 140902.0023.ec.fits: ap = 42, w1 = 6096.619, w2 = 5968.022, dw = -0.07794, nw = 1651 140902.0023.ec.fits: ap = 43, w1 = 6032.452, w2 = 5905.211, dw = -0.07712, nw = 1651 140902.0023.ec.fits: ap = 44, w1 = 5969.622, w2 = 5843.709, dw = -0.07631, nw = 1651 140902.0023.ec.fits: ap = 45, w1 = 5908.088, w2 = 5783.475, dw = -0.07552, nw = 1651 140902.0023.ec.fits: ap = 46, w1 = 5847.809, w2 = 5724.47, dw = -0.07475, nw = 1651 140902.0023.ec.fits: ap = 47, w1 = 5788.749, w2 = 5666.657, dw = -0.07399, nw = 1651 140902.0023.ec.fits: ap = 48, w1 = 5730.869, w2 = 5610.001, dw = -0.07325, nw = 1651 140902.0023.ec.fits: ap = 49, w1 = 5674.136, w2 = 5554.466, dw = -0.07253, nw = 1651 140902.0023.ec.fits: ap = 50, w1 = 5618.515, w2 = 5500.021, dw = -0.07181, nw = 1651 140902.0023.ec.fits: ap = 51, w1 = 5563.974, w2 = 5446.633, dw = -0.07112, nw = 1651 140902.0023.ec.fits: ap = 52, w1 = 5510.483, w2 = 5394.271, dw = -0.07043, nw = 1651 140902.0023.ec.fits: ap = 53, w1 = 5458.01, w2 = 5342.908, dw = -0.06976, nw = 1651 140902.0023.ec.fits: ap = 54, w1 = 5406.527, w2 = 5292.513, dw = -0.0691, nw = 1651 140902.0023.ec.fits: ap = 55, w1 = 5356.007, w2 = 5243.061, dw = -0.06845, nw = 1651 140902.0023.ec.fits: ap = 56, w1 = 5306.422, w2 = 5194.524, dw = -0.06782, nw = 1651 140902.0023.ec.fits: ap = 57, w1 = 5257.748, w2 = 5146.878, dw = -0.06719, nw = 1651 140902.0023.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.099, dw = -0.06658, nw = 1651 140902.0023.ec.fits: ap = 59, w1 = 5163.029, w2 = 5054.162, dw = -0.06598, nw = 1651 140902.0023.ec.fits: ap = 60, w1 = 5116.939, w2 = 5009.046, dw = -0.06539, nw = 1651 140902.0023.ec.fits: ap = 61, w1 = 5071.664, w2 = 4964.728, dw = -0.06481, nw = 1651 140902.0023.ec.fits: ap = 62, w1 = 5027.184, w2 = 4921.188, dw = -0.06424, nw = 1651 140902.0023.ec.fits: ap = 63, w1 = 4983.477, w2 = 4878.406, dw = -0.06368, nw = 1651 140902.0023.ec.fits: ap = 64, w1 = 4940.524, w2 = 4836.361, dw = -0.06313, nw = 1651 140902.0023.ec.fits: ap = 65, w1 = 4898.305, w2 = 4795.035, dw = -0.06259, nw = 1651 140902.0023.ec.fits: ap = 66, w1 = 4856.802, w2 = 4754.409, dw = -0.06206, nw = 1651 140902.0023.ec.fits: ap = 67, w1 = 4815.996, w2 = 4714.466, dw = -0.06153, nw = 1651 140902.0023.ec.fits: ap = 68, w1 = 4775.871, w2 = 4675.189, dw = -0.06102, nw = 1651 140902.0023.ec.fits: ap = 69, w1 = 4736.409, w2 = 4636.561, dw = -0.06051, nw = 1651 140902.0023.ec.fits: ap = 70, w1 = 4697.594, w2 = 4598.567, dw = -0.06002, nw = 1651 140902.0023.ec.fits: ap = 71, w1 = 4659.41, w2 = 4561.19, dw = -0.05953, nw = 1651 140902.0023.ec.fits: ap = 72, w1 = 4621.842, w2 = 4524.416, dw = -0.05905, nw = 1651 140902.0023.ec.fits: ap = 73, w1 = 4584.875, w2 = 4488.231, dw = -0.05857, nw = 1651 140902.0023.ec.fits: ap = 74, w1 = 4548.495, w2 = 4452.62, dw = -0.05811, nw = 1651 140902.0023.ec.fits: ap = 75, w1 = 4512.688, w2 = 4417.57, dw = -0.05765, nw = 1651 140902.0023.ec.fits: ap = 76, w1 = 4477.441, w2 = 4383.068, dw = -0.0572, nw = 1651 140902.0023.ec.fits: ap = 77, w1 = 4442.74, w2 = 4349.101, dw = -0.05675, nw = 1651 140902.0023.ec.fits: ap = 78, w1 = 4408.573, w2 = 4315.656, dw = -0.05631, nw = 1651 140902.0023.ec.fits: ap = 79, w1 = 4374.927, w2 = 4282.722, dw = -0.05588, nw = 1651 140902.0023.ec.fits: ap = 80, w1 = 4341.792, w2 = 4250.286, dw = -0.05546, nw = 1651 140902.0023.ec.fits: ap = 81, w1 = 4309.155, w2 = 4218.339, dw = -0.05504, nw = 1651 140902.0023.ec.fits: ap = 82, w1 = 4277.005, w2 = 4186.868, dw = -0.05463, nw = 1651 140902.0023.ec.fits: ap = 83, w1 = 4245.331, w2 = 4155.864, dw = -0.05422, nw = 1651 140902.0023.ec.fits: ap = 84, w1 = 4214.124, w2 = 4125.316, dw = -0.05382, nw = 1651 140902.0023.ec.fits: ap = 85, w1 = 4183.372, w2 = 4095.213, dw = -0.05343, nw = 1651 140902.0023.ec.fits: ap = 86, w1 = 4153.065, w2 = 4065.547, dw = -0.05304, nw = 1651 140902.0023.ec.fits: ap = 87, w1 = 4123.195, w2 = 4036.308, dw = -0.05266, nw = 1651 140902.0023.ec.fits: ap = 88, w1 = 4093.751, w2 = 4007.486, dw = -0.05228, nw = 1651 140902.0023.ec.fits: ap = 89, w1 = 4064.726, w2 = 3979.073, dw = -0.05191, nw = 1651 140902.0023.ec.fits: ap = 90, w1 = 4036.109, w2 = 3951.06, dw = -0.05154, nw = 1651 140902.0023.ec.fits: ap = 91, w1 = 4007.892, w2 = 3923.439, dw = -0.05118, nw = 1651 140902.0023.ec.fits: ap = 92, w1 = 3980.068, w2 = 3896.202, dw = -0.05083, nw = 1651 140902.0023.ec.fits: ap = 93, w1 = 3952.627, w2 = 3869.34, dw = -0.05048, nw = 1651 140902.0023.ec.fits: ap = 94, w1 = 3925.562, w2 = 3842.846, dw = -0.05013, nw = 1651 140902.0023.ec.fits: ap = 95, w1 = 3898.865, w2 = 3816.713, dw = -0.04979, nw = 1651 140902.0023.ec.fits: ap = 96, w1 = 3872.529, w2 = 3790.932, dw = -0.04945, nw = 1651 140902.0023.ec.fits: ap = 97, w1 = 3846.547, w2 = 3765.498, dw = -0.04912, nw = 1651 140902.0023.ec.fits: ap = 98, w1 = 3820.912, w2 = 3740.403, dw = -0.04879, nw = 1651 140902.0023.ec.fits: ap = 99, w1 = 3795.615, w2 = 3715.639, dw = -0.04847, nw = 1651 140902.0023.ec.fits: ap = 100, w1 = 3770.652, w2 = 3691.202, dw = -0.04815, nw = 1651 140902.0023.ec.fits: ap = 101, w1 = 3746.015, w2 = 3667.084, dw = -0.04784, nw = 1651 140902.0023.ec.fits: ap = 102, w1 = 3721.698, w2 = 3643.279, dw = -0.04753, nw = 1651 140902.0023.ec.fits: ap = 103, w1 = 3697.695, w2 = 3619.781, dw = -0.04722, nw = 1651 140902.0023.ec.fits: ap = 104, w1 = 3674., w2 = 3596.584, dw = -0.04692, nw = 1651 140902.0023.ec.fits: ap = 105, w1 = 3650.607, w2 = 3573.683, dw = -0.04662, nw = 1651 140902.0023.ec.fits: ap = 106, w1 = 3627.509, w2 = 3551.071, dw = -0.04633, nw = 1651 140902.0023.ec.fits: ap = 107, w1 = 3604.703, w2 = 3528.744, dw = -0.04604, nw = 1651 140902.0023.ec.fits: ap = 108, w1 = 3582.181, w2 = 3506.695, dw = -0.04575, nw = 1651 140902.0023.ec.fits: ap = 109, w1 = 3559.939, w2 = 3484.92, dw = -0.04547, nw = 1651 140902.0023.ec.fits: ap = 110, w1 = 3537.972, w2 = 3463.414, dw = -0.04519, nw = 1651 140902.0023.ec.fits: ap = 111, w1 = 3516.275, w2 = 3442.172, dw = -0.04491, nw = 1651 140902.0023.ec.fits: ap = 112, w1 = 3494.842, w2 = 3421.188, dw = -0.04464, nw = 1651 140902.0023.ec.fits: ap = 113, w1 = 3473.668, w2 = 3400.459, dw = -0.04437, nw = 1651 140902.0023.ec.fits: ap = 114, w1 = 3452.75, w2 = 3379.979, dw = -0.0441, nw = 1651 140902.0023.ec.fits: ap = 115, w1 = 3432.083, w2 = 3359.744, dw = -0.04384, nw = 1651 140902.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.26011863' 140902.0024.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.7398814' 140902.0024.ec.fits: ap = 1, w1 = 10812.32, w2 = 10584.11, dw = -0.13831, nw = 1651 140902.0024.ec.fits: ap = 2, w1 = 10612.1, w2 = 10388.12, dw = -0.13575, nw = 1651 140902.0024.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.27, dw = -0.13327, nw = 1651 140902.0024.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.15, dw = -0.13089, nw = 1651 140902.0024.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.43, dw = -0.12859, nw = 1651 140902.0024.ec.fits: ap = 6, w1 = 9880.282, w2 = 9671.766, dw = -0.12637, nw = 1651 140902.0024.ec.fits: ap = 7, w1 = 9712.831, w2 = 9507.853, dw = -0.12423, nw = 1651 140902.0024.ec.fits: ap = 8, w1 = 9550.962, w2 = 9349.404, dw = -0.12216, nw = 1651 140902.0024.ec.fits: ap = 9, w1 = 9394.401, w2 = 9196.15, dw = -0.12015, nw = 1651 140902.0024.ec.fits: ap = 10, w1 = 9242.889, w2 = 9047.839, dw = -0.11821, nw = 1651 140902.0024.ec.fits: ap = 11, w1 = 9096.188, w2 = 8904.237, dw = -0.11633, nw = 1651 140902.0024.ec.fits: ap = 12, w1 = 8954.071, w2 = 8765.122, dw = -0.11451, nw = 1651 140902.0024.ec.fits: ap = 13, w1 = 8816.327, w2 = 8630.287, dw = -0.11275, nw = 1651 140902.0024.ec.fits: ap = 14, w1 = 8682.757, w2 = 8499.538, dw = -0.11104, nw = 1651 140902.0024.ec.fits: ap = 15, w1 = 8553.174, w2 = 8372.692, dw = -0.10938, nw = 1651 140902.0024.ec.fits: ap = 16, w1 = 8427.402, w2 = 8249.577, dw = -0.10777, nw = 1651 140902.0024.ec.fits: ap = 17, w1 = 8305.276, w2 = 8130.03, dw = -0.10621, nw = 1651 140902.0024.ec.fits: ap = 18, w1 = 8186.639, w2 = 8013.899, dw = -0.10469, nw = 1651 140902.0024.ec.fits: ap = 19, w1 = 8071.344, w2 = 7901.039, dw = -0.10322, nw = 1651 140902.0024.ec.fits: ap = 20, w1 = 7959.252, w2 = 7791.315, dw = -0.10178, nw = 1651 140902.0024.ec.fits: ap = 21, w1 = 7850.231, w2 = 7684.596, dw = -0.10039, nw = 1651 140902.0024.ec.fits: ap = 22, w1 = 7744.157, w2 = 7580.762, dw = -0.09903, nw = 1651 140902.0024.ec.fits: ap = 23, w1 = 7640.911, w2 = 7479.696, dw = -0.09771, nw = 1651 140902.0024.ec.fits: ap = 24, w1 = 7540.382, w2 = 7381.29, dw = -0.09642, nw = 1651 140902.0024.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.44, dw = -0.09517, nw = 1651 140902.0024.ec.fits: ap = 26, w1 = 7347.057, w2 = 7192.048, dw = -0.09394, nw = 1651 140902.0024.ec.fits: ap = 27, w1 = 7254.066, w2 = 7101.021, dw = -0.09275, nw = 1651 140902.0024.ec.fits: ap = 28, w1 = 7163.399, w2 = 7012.269, dw = -0.09159, nw = 1651 140902.0024.ec.fits: ap = 29, w1 = 7074.971, w2 = 6925.708, dw = -0.09046, nw = 1651 140902.0024.ec.fits: ap = 30, w1 = 6988.699, w2 = 6841.259, dw = -0.08936, nw = 1651 140902.0024.ec.fits: ap = 31, w1 = 6904.507, w2 = 6758.845, dw = -0.08828, nw = 1651 140902.0024.ec.fits: ap = 32, w1 = 6822.319, w2 = 6678.393, dw = -0.08723, nw = 1651 140902.0024.ec.fits: ap = 33, w1 = 6742.065, w2 = 6599.834, dw = -0.0862, nw = 1651 140902.0024.ec.fits: ap = 34, w1 = 6663.678, w2 = 6523.102, dw = -0.0852, nw = 1651 140902.0024.ec.fits: ap = 35, w1 = 6587.093, w2 = 6448.135, dw = -0.08422, nw = 1651 140902.0024.ec.fits: ap = 36, w1 = 6512.248, w2 = 6374.871, dw = -0.08326, nw = 1651 140902.0024.ec.fits: ap = 37, w1 = 6439.085, w2 = 6303.253, dw = -0.08232, nw = 1651 140902.0024.ec.fits: ap = 38, w1 = 6367.548, w2 = 6233.227, dw = -0.08141, nw = 1651 140902.0024.ec.fits: ap = 39, w1 = 6297.583, w2 = 6164.741, dw = -0.08051, nw = 1651 140902.0024.ec.fits: ap = 40, w1 = 6229.14, w2 = 6097.743, dw = -0.07963, nw = 1651 140902.0024.ec.fits: ap = 41, w1 = 6162.168, w2 = 6032.186, dw = -0.07878, nw = 1651 140902.0024.ec.fits: ap = 42, w1 = 6096.621, w2 = 5968.024, dw = -0.07794, nw = 1651 140902.0024.ec.fits: ap = 43, w1 = 6032.454, w2 = 5905.213, dw = -0.07712, nw = 1651 140902.0024.ec.fits: ap = 44, w1 = 5969.624, w2 = 5843.711, dw = -0.07631, nw = 1651 140902.0024.ec.fits: ap = 45, w1 = 5908.09, w2 = 5783.476, dw = -0.07552, nw = 1651 140902.0024.ec.fits: ap = 46, w1 = 5847.811, w2 = 5724.472, dw = -0.07475, nw = 1651 140902.0024.ec.fits: ap = 47, w1 = 5788.75, w2 = 5666.659, dw = -0.07399, nw = 1651 140902.0024.ec.fits: ap = 48, w1 = 5730.871, w2 = 5610.002, dw = -0.07325, nw = 1651 140902.0024.ec.fits: ap = 49, w1 = 5674.138, w2 = 5554.468, dw = -0.07253, nw = 1651 140902.0024.ec.fits: ap = 50, w1 = 5618.517, w2 = 5500.023, dw = -0.07181, nw = 1651 140902.0024.ec.fits: ap = 51, w1 = 5563.976, w2 = 5446.635, dw = -0.07112, nw = 1651 140902.0024.ec.fits: ap = 52, w1 = 5510.484, w2 = 5394.273, dw = -0.07043, nw = 1651 140902.0024.ec.fits: ap = 53, w1 = 5458.011, w2 = 5342.91, dw = -0.06976, nw = 1651 140902.0024.ec.fits: ap = 54, w1 = 5406.528, w2 = 5292.515, dw = -0.0691, nw = 1651 140902.0024.ec.fits: ap = 55, w1 = 5356.008, w2 = 5243.062, dw = -0.06845, nw = 1651 140902.0024.ec.fits: ap = 56, w1 = 5306.423, w2 = 5194.526, dw = -0.06782, nw = 1651 140902.0024.ec.fits: ap = 57, w1 = 5257.748, w2 = 5146.88, dw = -0.06719, nw = 1651 140902.0024.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.1, dw = -0.06658, nw = 1651 140902.0024.ec.fits: ap = 59, w1 = 5163.029, w2 = 5054.163, dw = -0.06598, nw = 1651 140902.0024.ec.fits: ap = 60, w1 = 5116.938, w2 = 5009.047, dw = -0.06539, nw = 1651 140902.0024.ec.fits: ap = 61, w1 = 5071.664, w2 = 4964.729, dw = -0.06481, nw = 1651 140902.0024.ec.fits: ap = 62, w1 = 5027.183, w2 = 4921.189, dw = -0.06424, nw = 1651 140902.0024.ec.fits: ap = 63, w1 = 4983.476, w2 = 4878.407, dw = -0.06368, nw = 1651 140902.0024.ec.fits: ap = 64, w1 = 4940.523, w2 = 4836.361, dw = -0.06313, nw = 1651 140902.0024.ec.fits: ap = 65, w1 = 4898.304, w2 = 4795.035, dw = -0.06259, nw = 1651 140902.0024.ec.fits: ap = 66, w1 = 4856.8, w2 = 4754.409, dw = -0.06206, nw = 1651 140902.0024.ec.fits: ap = 67, w1 = 4815.995, w2 = 4714.466, dw = -0.06153, nw = 1651 140902.0024.ec.fits: ap = 68, w1 = 4775.869, w2 = 4675.189, dw = -0.06102, nw = 1651 140902.0024.ec.fits: ap = 69, w1 = 4736.407, w2 = 4636.561, dw = -0.06051, nw = 1651 140902.0024.ec.fits: ap = 70, w1 = 4697.592, w2 = 4598.567, dw = -0.06001, nw = 1651 140902.0024.ec.fits: ap = 71, w1 = 4659.407, w2 = 4561.19, dw = -0.05953, nw = 1651 140902.0024.ec.fits: ap = 72, w1 = 4621.839, w2 = 4524.416, dw = -0.05904, nw = 1651 140902.0024.ec.fits: ap = 73, w1 = 4584.872, w2 = 4488.231, dw = -0.05857, nw = 1651 140902.0024.ec.fits: ap = 74, w1 = 4548.492, w2 = 4452.62, dw = -0.0581, nw = 1651 140902.0024.ec.fits: ap = 75, w1 = 4512.685, w2 = 4417.57, dw = -0.05765, nw = 1651 140902.0024.ec.fits: ap = 76, w1 = 4477.437, w2 = 4383.067, dw = -0.05719, nw = 1651 140902.0024.ec.fits: ap = 77, w1 = 4442.736, w2 = 4349.1, dw = -0.05675, nw = 1651 140902.0024.ec.fits: ap = 78, w1 = 4408.569, w2 = 4315.655, dw = -0.05631, nw = 1651 140902.0024.ec.fits: ap = 79, w1 = 4374.924, w2 = 4282.721, dw = -0.05588, nw = 1651 140902.0024.ec.fits: ap = 80, w1 = 4341.788, w2 = 4250.286, dw = -0.05546, nw = 1651 140902.0024.ec.fits: ap = 81, w1 = 4309.151, w2 = 4218.338, dw = -0.05504, nw = 1651 140902.0024.ec.fits: ap = 82, w1 = 4277.001, w2 = 4186.868, dw = -0.05463, nw = 1651 140902.0024.ec.fits: ap = 83, w1 = 4245.327, w2 = 4155.863, dw = -0.05422, nw = 1651 140902.0024.ec.fits: ap = 84, w1 = 4214.12, w2 = 4125.315, dw = -0.05382, nw = 1651 140902.0024.ec.fits: ap = 85, w1 = 4183.367, w2 = 4095.212, dw = -0.05343, nw = 1651 140902.0024.ec.fits: ap = 86, w1 = 4153.061, w2 = 4065.546, dw = -0.05304, nw = 1651 140902.0024.ec.fits: ap = 87, w1 = 4123.191, w2 = 4036.307, dw = -0.05266, nw = 1651 140902.0024.ec.fits: ap = 88, w1 = 4093.747, w2 = 4007.485, dw = -0.05228, nw = 1651 140902.0024.ec.fits: ap = 89, w1 = 4064.722, w2 = 3979.072, dw = -0.05191, nw = 1651 140902.0024.ec.fits: ap = 90, w1 = 4036.105, w2 = 3951.06, dw = -0.05154, nw = 1651 140902.0024.ec.fits: ap = 91, w1 = 4007.888, w2 = 3923.439, dw = -0.05118, nw = 1651 140902.0024.ec.fits: ap = 92, w1 = 3980.064, w2 = 3896.201, dw = -0.05083, nw = 1651 140902.0024.ec.fits: ap = 93, w1 = 3952.623, w2 = 3869.34, dw = -0.05047, nw = 1651 140902.0024.ec.fits: ap = 94, w1 = 3925.559, w2 = 3842.846, dw = -0.05013, nw = 1651 140902.0024.ec.fits: ap = 95, w1 = 3898.862, w2 = 3816.712, dw = -0.04979, nw = 1651 140902.0024.ec.fits: ap = 96, w1 = 3872.527, w2 = 3790.932, dw = -0.04945, nw = 1651 140902.0024.ec.fits: ap = 97, w1 = 3846.545, w2 = 3765.498, dw = -0.04912, nw = 1651 140902.0024.ec.fits: ap = 98, w1 = 3820.91, w2 = 3740.403, dw = -0.04879, nw = 1651 140902.0024.ec.fits: ap = 99, w1 = 3795.614, w2 = 3715.64, dw = -0.04847, nw = 1651 140902.0024.ec.fits: ap = 100, w1 = 3770.651, w2 = 3691.203, dw = -0.04815, nw = 1651 140902.0024.ec.fits: ap = 101, w1 = 3746.014, w2 = 3667.085, dw = -0.04784, nw = 1651 140902.0024.ec.fits: ap = 102, w1 = 3721.698, w2 = 3643.28, dw = -0.04753, nw = 1651 140902.0024.ec.fits: ap = 103, w1 = 3697.695, w2 = 3619.782, dw = -0.04722, nw = 1651 140902.0024.ec.fits: ap = 104, w1 = 3674.001, w2 = 3596.586, dw = -0.04692, nw = 1651 140902.0024.ec.fits: ap = 105, w1 = 3650.608, w2 = 3573.685, dw = -0.04662, nw = 1651 140902.0024.ec.fits: ap = 106, w1 = 3627.511, w2 = 3551.074, dw = -0.04633, nw = 1651 140902.0024.ec.fits: ap = 107, w1 = 3604.705, w2 = 3528.747, dw = -0.04604, nw = 1651 140902.0024.ec.fits: ap = 108, w1 = 3582.184, w2 = 3506.698, dw = -0.04575, nw = 1651 140902.0024.ec.fits: ap = 109, w1 = 3559.943, w2 = 3484.924, dw = -0.04547, nw = 1651 140902.0024.ec.fits: ap = 110, w1 = 3537.977, w2 = 3463.419, dw = -0.04519, nw = 1651 140902.0024.ec.fits: ap = 111, w1 = 3516.28, w2 = 3442.177, dw = -0.04491, nw = 1651 140902.0024.ec.fits: ap = 112, w1 = 3494.848, w2 = 3421.194, dw = -0.04464, nw = 1651 140902.0024.ec.fits: ap = 113, w1 = 3473.676, w2 = 3400.465, dw = -0.04437, nw = 1651 140902.0024.ec.fits: ap = 114, w1 = 3452.759, w2 = 3379.986, dw = -0.04411, nw = 1651 140902.0024.ec.fits: ap = 115, w1 = 3432.093, w2 = 3359.752, dw = -0.04384, nw = 1651 140902.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.095945083' 140902.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.90405494' 140902.0025.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.12, dw = -0.13831, nw = 1651 140902.0025.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.13, dw = -0.13575, nw = 1651 140902.0025.ec.fits: ap = 3, w1 = 10419.18, w2 = 10199.27, dw = -0.13328, nw = 1651 140902.0025.ec.fits: ap = 4, w1 = 10233.13, w2 = 10017.16, dw = -0.13089, nw = 1651 140902.0025.ec.fits: ap = 5, w1 = 10053.62, w2 = 9841.435, dw = -0.12859, nw = 1651 140902.0025.ec.fits: ap = 6, w1 = 9880.289, w2 = 9671.771, dw = -0.12637, nw = 1651 140902.0025.ec.fits: ap = 7, w1 = 9712.838, w2 = 9507.858, dw = -0.12423, nw = 1651 140902.0025.ec.fits: ap = 8, w1 = 9550.968, w2 = 9349.408, dw = -0.12216, nw = 1651 140902.0025.ec.fits: ap = 9, w1 = 9394.406, w2 = 9196.153, dw = -0.12015, nw = 1651 140902.0025.ec.fits: ap = 10, w1 = 9242.894, w2 = 9047.842, dw = -0.11821, nw = 1651 140902.0025.ec.fits: ap = 11, w1 = 9096.192, w2 = 8904.239, dw = -0.11634, nw = 1651 140902.0025.ec.fits: ap = 12, w1 = 8954.075, w2 = 8765.124, dw = -0.11452, nw = 1651 140902.0025.ec.fits: ap = 13, w1 = 8816.33, w2 = 8630.289, dw = -0.11275, nw = 1651 140902.0025.ec.fits: ap = 14, w1 = 8682.76, w2 = 8499.54, dw = -0.11104, nw = 1651 140902.0025.ec.fits: ap = 15, w1 = 8553.177, w2 = 8372.694, dw = -0.10938, nw = 1651 140902.0025.ec.fits: ap = 16, w1 = 8427.405, w2 = 8249.579, dw = -0.10777, nw = 1651 140902.0025.ec.fits: ap = 17, w1 = 8305.279, w2 = 8130.032, dw = -0.10621, nw = 1651 140902.0025.ec.fits: ap = 18, w1 = 8186.642, w2 = 8013.901, dw = -0.10469, nw = 1651 140902.0025.ec.fits: ap = 19, w1 = 8071.347, w2 = 7901.041, dw = -0.10322, nw = 1651 140902.0025.ec.fits: ap = 20, w1 = 7959.255, w2 = 7791.316, dw = -0.10178, nw = 1651 140902.0025.ec.fits: ap = 21, w1 = 7850.234, w2 = 7684.597, dw = -0.10039, nw = 1651 140902.0025.ec.fits: ap = 22, w1 = 7744.159, w2 = 7580.763, dw = -0.09903, nw = 1651 140902.0025.ec.fits: ap = 23, w1 = 7640.913, w2 = 7479.697, dw = -0.09771, nw = 1651 140902.0025.ec.fits: ap = 24, w1 = 7540.384, w2 = 7381.291, dw = -0.09642, nw = 1651 140902.0025.ec.fits: ap = 25, w1 = 7442.467, w2 = 7285.442, dw = -0.09517, nw = 1651 140902.0025.ec.fits: ap = 26, w1 = 7347.06, w2 = 7192.049, dw = -0.09395, nw = 1651 140902.0025.ec.fits: ap = 27, w1 = 7254.068, w2 = 7101.022, dw = -0.09276, nw = 1651 140902.0025.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.27, dw = -0.09159, nw = 1651 140902.0025.ec.fits: ap = 29, w1 = 7074.973, w2 = 6925.709, dw = -0.09046, nw = 1651 140902.0025.ec.fits: ap = 30, w1 = 6988.702, w2 = 6841.26, dw = -0.08936, nw = 1651 140902.0025.ec.fits: ap = 31, w1 = 6904.51, w2 = 6758.846, dw = -0.08828, nw = 1651 140902.0025.ec.fits: ap = 32, w1 = 6822.322, w2 = 6678.394, dw = -0.08723, nw = 1651 140902.0025.ec.fits: ap = 33, w1 = 6742.068, w2 = 6599.836, dw = -0.0862, nw = 1651 140902.0025.ec.fits: ap = 34, w1 = 6663.68, w2 = 6523.104, dw = -0.0852, nw = 1651 140902.0025.ec.fits: ap = 35, w1 = 6587.095, w2 = 6448.136, dw = -0.08422, nw = 1651 140902.0025.ec.fits: ap = 36, w1 = 6512.25, w2 = 6374.872, dw = -0.08326, nw = 1651 140902.0025.ec.fits: ap = 37, w1 = 6439.087, w2 = 6303.255, dw = -0.08232, nw = 1651 140902.0025.ec.fits: ap = 38, w1 = 6367.55, w2 = 6233.229, dw = -0.08141, nw = 1651 140902.0025.ec.fits: ap = 39, w1 = 6297.586, w2 = 6164.742, dw = -0.08051, nw = 1651 140902.0025.ec.fits: ap = 40, w1 = 6229.142, w2 = 6097.745, dw = -0.07963, nw = 1651 140902.0025.ec.fits: ap = 41, w1 = 6162.17, w2 = 6032.188, dw = -0.07878, nw = 1651 140902.0025.ec.fits: ap = 42, w1 = 6096.623, w2 = 5968.026, dw = -0.07794, nw = 1651 140902.0025.ec.fits: ap = 43, w1 = 6032.456, w2 = 5905.215, dw = -0.07712, nw = 1651 140902.0025.ec.fits: ap = 44, w1 = 5969.626, w2 = 5843.712, dw = -0.07631, nw = 1651 140902.0025.ec.fits: ap = 45, w1 = 5908.092, w2 = 5783.478, dw = -0.07552, nw = 1651 140902.0025.ec.fits: ap = 46, w1 = 5847.813, w2 = 5724.473, dw = -0.07475, nw = 1651 140902.0025.ec.fits: ap = 47, w1 = 5788.752, w2 = 5666.661, dw = -0.07399, nw = 1651 140902.0025.ec.fits: ap = 48, w1 = 5730.873, w2 = 5610.004, dw = -0.07325, nw = 1651 140902.0025.ec.fits: ap = 49, w1 = 5674.139, w2 = 5554.47, dw = -0.07253, nw = 1651 140902.0025.ec.fits: ap = 50, w1 = 5618.518, w2 = 5500.024, dw = -0.07181, nw = 1651 140902.0025.ec.fits: ap = 51, w1 = 5563.977, w2 = 5446.636, dw = -0.07112, nw = 1651 140902.0025.ec.fits: ap = 52, w1 = 5510.485, w2 = 5394.275, dw = -0.07043, nw = 1651 140902.0025.ec.fits: ap = 53, w1 = 5458.012, w2 = 5342.911, dw = -0.06976, nw = 1651 140902.0025.ec.fits: ap = 54, w1 = 5406.529, w2 = 5292.516, dw = -0.0691, nw = 1651 140902.0025.ec.fits: ap = 55, w1 = 5356.008, w2 = 5243.064, dw = -0.06845, nw = 1651 140902.0025.ec.fits: ap = 56, w1 = 5306.423, w2 = 5194.527, dw = -0.06782, nw = 1651 140902.0025.ec.fits: ap = 57, w1 = 5257.748, w2 = 5146.881, dw = -0.06719, nw = 1651 140902.0025.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.101, dw = -0.06658, nw = 1651 140902.0025.ec.fits: ap = 59, w1 = 5163.029, w2 = 5054.164, dw = -0.06598, nw = 1651 140902.0025.ec.fits: ap = 60, w1 = 5116.938, w2 = 5009.048, dw = -0.06539, nw = 1651 140902.0025.ec.fits: ap = 61, w1 = 5071.663, w2 = 4964.73, dw = -0.06481, nw = 1651 140902.0025.ec.fits: ap = 62, w1 = 5027.182, w2 = 4921.19, dw = -0.06424, nw = 1651 140902.0025.ec.fits: ap = 63, w1 = 4983.475, w2 = 4878.407, dw = -0.06368, nw = 1651 140902.0025.ec.fits: ap = 64, w1 = 4940.522, w2 = 4836.362, dw = -0.06313, nw = 1651 140902.0025.ec.fits: ap = 65, w1 = 4898.303, w2 = 4795.036, dw = -0.06259, nw = 1651 140902.0025.ec.fits: ap = 66, w1 = 4856.799, w2 = 4754.41, dw = -0.06205, nw = 1651 140902.0025.ec.fits: ap = 67, w1 = 4815.993, w2 = 4714.467, dw = -0.06153, nw = 1651 140902.0025.ec.fits: ap = 68, w1 = 4775.867, w2 = 4675.19, dw = -0.06102, nw = 1651 140902.0025.ec.fits: ap = 69, w1 = 4736.405, w2 = 4636.562, dw = -0.06051, nw = 1651 140902.0025.ec.fits: ap = 70, w1 = 4697.589, w2 = 4598.567, dw = -0.06001, nw = 1651 140902.0025.ec.fits: ap = 71, w1 = 4659.405, w2 = 4561.19, dw = -0.05952, nw = 1651 140902.0025.ec.fits: ap = 72, w1 = 4621.837, w2 = 4524.416, dw = -0.05904, nw = 1651 140902.0025.ec.fits: ap = 73, w1 = 4584.87, w2 = 4488.231, dw = -0.05857, nw = 1651 140902.0025.ec.fits: ap = 74, w1 = 4548.489, w2 = 4452.62, dw = -0.0581, nw = 1651 140902.0025.ec.fits: ap = 75, w1 = 4512.682, w2 = 4417.57, dw = -0.05764, nw = 1651 140902.0025.ec.fits: ap = 76, w1 = 4477.434, w2 = 4383.067, dw = -0.05719, nw = 1651 140902.0025.ec.fits: ap = 77, w1 = 4442.733, w2 = 4349.099, dw = -0.05675, nw = 1651 140902.0025.ec.fits: ap = 78, w1 = 4408.566, w2 = 4315.655, dw = -0.05631, nw = 1651 140902.0025.ec.fits: ap = 79, w1 = 4374.92, w2 = 4282.72, dw = -0.05588, nw = 1651 140902.0025.ec.fits: ap = 80, w1 = 4341.785, w2 = 4250.285, dw = -0.05545, nw = 1651 140902.0025.ec.fits: ap = 81, w1 = 4309.147, w2 = 4218.337, dw = -0.05504, nw = 1651 140902.0025.ec.fits: ap = 82, w1 = 4276.997, w2 = 4186.867, dw = -0.05462, nw = 1651 140902.0025.ec.fits: ap = 83, w1 = 4245.324, w2 = 4155.862, dw = -0.05422, nw = 1651 140902.0025.ec.fits: ap = 84, w1 = 4214.116, w2 = 4125.314, dw = -0.05382, nw = 1651 140902.0025.ec.fits: ap = 85, w1 = 4183.364, w2 = 4095.212, dw = -0.05343, nw = 1651 140902.0025.ec.fits: ap = 86, w1 = 4153.057, w2 = 4065.545, dw = -0.05304, nw = 1651 140902.0025.ec.fits: ap = 87, w1 = 4123.187, w2 = 4036.306, dw = -0.05266, nw = 1651 140902.0025.ec.fits: ap = 88, w1 = 4093.744, w2 = 4007.484, dw = -0.05228, nw = 1651 140902.0025.ec.fits: ap = 89, w1 = 4064.718, w2 = 3979.072, dw = -0.05191, nw = 1651 140902.0025.ec.fits: ap = 90, w1 = 4036.101, w2 = 3951.059, dw = -0.05154, nw = 1651 140902.0025.ec.fits: ap = 91, w1 = 4007.885, w2 = 3923.438, dw = -0.05118, nw = 1651 140902.0025.ec.fits: ap = 92, w1 = 3980.061, w2 = 3896.201, dw = -0.05082, nw = 1651 140902.0025.ec.fits: ap = 93, w1 = 3952.62, w2 = 3869.339, dw = -0.05047, nw = 1651 140902.0025.ec.fits: ap = 94, w1 = 3925.556, w2 = 3842.845, dw = -0.05013, nw = 1651 140902.0025.ec.fits: ap = 95, w1 = 3898.859, w2 = 3816.712, dw = -0.04979, nw = 1651 140902.0025.ec.fits: ap = 96, w1 = 3872.524, w2 = 3790.932, dw = -0.04945, nw = 1651 140902.0025.ec.fits: ap = 97, w1 = 3846.543, w2 = 3765.498, dw = -0.04912, nw = 1651 140902.0025.ec.fits: ap = 98, w1 = 3820.908, w2 = 3740.403, dw = -0.04879, nw = 1651 140902.0025.ec.fits: ap = 99, w1 = 3795.612, w2 = 3715.64, dw = -0.04847, nw = 1651 140902.0025.ec.fits: ap = 100, w1 = 3770.65, w2 = 3691.203, dw = -0.04815, nw = 1651 140902.0025.ec.fits: ap = 101, w1 = 3746.013, w2 = 3667.085, dw = -0.04784, nw = 1651 140902.0025.ec.fits: ap = 102, w1 = 3721.697, w2 = 3643.281, dw = -0.04753, nw = 1651 140902.0025.ec.fits: ap = 103, w1 = 3697.695, w2 = 3619.784, dw = -0.04722, nw = 1651 140902.0025.ec.fits: ap = 104, w1 = 3674.001, w2 = 3596.588, dw = -0.04692, nw = 1651 140902.0025.ec.fits: ap = 105, w1 = 3650.609, w2 = 3573.687, dw = -0.04662, nw = 1651 140902.0025.ec.fits: ap = 106, w1 = 3627.513, w2 = 3551.076, dw = -0.04633, nw = 1651 140902.0025.ec.fits: ap = 107, w1 = 3604.707, w2 = 3528.749, dw = -0.04604, nw = 1651 140902.0025.ec.fits: ap = 108, w1 = 3582.187, w2 = 3506.702, dw = -0.04575, nw = 1651 140902.0025.ec.fits: ap = 109, w1 = 3559.947, w2 = 3484.928, dw = -0.04547, nw = 1651 140902.0025.ec.fits: ap = 110, w1 = 3537.982, w2 = 3463.423, dw = -0.04519, nw = 1651 140902.0025.ec.fits: ap = 111, w1 = 3516.286, w2 = 3442.181, dw = -0.04491, nw = 1651 140902.0025.ec.fits: ap = 112, w1 = 3494.855, w2 = 3421.199, dw = -0.04464, nw = 1651 140902.0025.ec.fits: ap = 113, w1 = 3473.683, w2 = 3400.47, dw = -0.04437, nw = 1651 140902.0025.ec.fits: ap = 114, w1 = 3452.767, w2 = 3379.992, dw = -0.04411, nw = 1651 140902.0025.ec.fits: ap = 115, w1 = 3432.102, w2 = 3359.758, dw = -0.04384, nw = 1651 140902.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.88166481' 140902.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.1183352' 140902.0027.ec.fits: ap = 1, w1 = 10812.33, w2 = 10584.12, dw = -0.13831, nw = 1651 140902.0027.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.13, dw = -0.13575, nw = 1651 140902.0027.ec.fits: ap = 3, w1 = 10419.18, w2 = 10199.27, dw = -0.13327, nw = 1651 140902.0027.ec.fits: ap = 4, w1 = 10233.13, w2 = 10017.16, dw = -0.13089, nw = 1651 140902.0027.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.435, dw = -0.12859, nw = 1651 140902.0027.ec.fits: ap = 6, w1 = 9880.288, w2 = 9671.77, dw = -0.12637, nw = 1651 140902.0027.ec.fits: ap = 7, w1 = 9712.837, w2 = 9507.857, dw = -0.12423, nw = 1651 140902.0027.ec.fits: ap = 8, w1 = 9550.968, w2 = 9349.407, dw = -0.12216, nw = 1651 140902.0027.ec.fits: ap = 9, w1 = 9394.406, w2 = 9196.153, dw = -0.12015, nw = 1651 140902.0027.ec.fits: ap = 10, w1 = 9242.894, w2 = 9047.842, dw = -0.11821, nw = 1651 140902.0027.ec.fits: ap = 11, w1 = 9096.192, w2 = 8904.239, dw = -0.11634, nw = 1651 140902.0027.ec.fits: ap = 12, w1 = 8954.075, w2 = 8765.123, dw = -0.11452, nw = 1651 140902.0027.ec.fits: ap = 13, w1 = 8816.331, w2 = 8630.288, dw = -0.11275, nw = 1651 140902.0027.ec.fits: ap = 14, w1 = 8682.76, w2 = 8499.539, dw = -0.11104, nw = 1651 140902.0027.ec.fits: ap = 15, w1 = 8553.177, w2 = 8372.693, dw = -0.10938, nw = 1651 140902.0027.ec.fits: ap = 16, w1 = 8427.406, w2 = 8249.578, dw = -0.10777, nw = 1651 140902.0027.ec.fits: ap = 17, w1 = 8305.279, w2 = 8130.031, dw = -0.10621, nw = 1651 140902.0027.ec.fits: ap = 18, w1 = 8186.643, w2 = 8013.9, dw = -0.10469, nw = 1651 140902.0027.ec.fits: ap = 19, w1 = 8071.348, w2 = 7901.04, dw = -0.10322, nw = 1651 140902.0027.ec.fits: ap = 20, w1 = 7959.255, w2 = 7791.315, dw = -0.10178, nw = 1651 140902.0027.ec.fits: ap = 21, w1 = 7850.234, w2 = 7684.596, dw = -0.10039, nw = 1651 140902.0027.ec.fits: ap = 22, w1 = 7744.16, w2 = 7580.762, dw = -0.09903, nw = 1651 140902.0027.ec.fits: ap = 23, w1 = 7640.914, w2 = 7479.696, dw = -0.09771, nw = 1651 140902.0027.ec.fits: ap = 24, w1 = 7540.385, w2 = 7381.291, dw = -0.09642, nw = 1651 140902.0027.ec.fits: ap = 25, w1 = 7442.467, w2 = 7285.441, dw = -0.09517, nw = 1651 140902.0027.ec.fits: ap = 26, w1 = 7347.06, w2 = 7192.049, dw = -0.09395, nw = 1651 140902.0027.ec.fits: ap = 27, w1 = 7254.068, w2 = 7101.021, dw = -0.09276, nw = 1651 140902.0027.ec.fits: ap = 28, w1 = 7163.401, w2 = 7012.269, dw = -0.0916, nw = 1651 140902.0027.ec.fits: ap = 29, w1 = 7074.973, w2 = 6925.708, dw = -0.09046, nw = 1651 140902.0027.ec.fits: ap = 30, w1 = 6988.701, w2 = 6841.259, dw = -0.08936, nw = 1651 140902.0027.ec.fits: ap = 31, w1 = 6904.509, w2 = 6758.845, dw = -0.08828, nw = 1651 140902.0027.ec.fits: ap = 32, w1 = 6822.321, w2 = 6678.393, dw = -0.08723, nw = 1651 140902.0027.ec.fits: ap = 33, w1 = 6742.067, w2 = 6599.834, dw = -0.0862, nw = 1651 140902.0027.ec.fits: ap = 34, w1 = 6663.68, w2 = 6523.103, dw = -0.0852, nw = 1651 140902.0027.ec.fits: ap = 35, w1 = 6587.094, w2 = 6448.135, dw = -0.08422, nw = 1651 140902.0027.ec.fits: ap = 36, w1 = 6512.25, w2 = 6374.871, dw = -0.08326, nw = 1651 140902.0027.ec.fits: ap = 37, w1 = 6439.087, w2 = 6303.254, dw = -0.08232, nw = 1651 140902.0027.ec.fits: ap = 38, w1 = 6367.55, w2 = 6233.228, dw = -0.08141, nw = 1651 140902.0027.ec.fits: ap = 39, w1 = 6297.585, w2 = 6164.741, dw = -0.08051, nw = 1651 140902.0027.ec.fits: ap = 40, w1 = 6229.141, w2 = 6097.743, dw = -0.07963, nw = 1651 140902.0027.ec.fits: ap = 41, w1 = 6162.169, w2 = 6032.187, dw = -0.07878, nw = 1651 140902.0027.ec.fits: ap = 42, w1 = 6096.623, w2 = 5968.025, dw = -0.07794, nw = 1651 140902.0027.ec.fits: ap = 43, w1 = 6032.456, w2 = 5905.214, dw = -0.07712, nw = 1651 140902.0027.ec.fits: ap = 44, w1 = 5969.626, w2 = 5843.711, dw = -0.07631, nw = 1651 140902.0027.ec.fits: ap = 45, w1 = 5908.091, w2 = 5783.477, dw = -0.07552, nw = 1651 140902.0027.ec.fits: ap = 46, w1 = 5847.813, w2 = 5724.472, dw = -0.07475, nw = 1651 140902.0027.ec.fits: ap = 47, w1 = 5788.752, w2 = 5666.659, dw = -0.074, nw = 1651 140902.0027.ec.fits: ap = 48, w1 = 5730.872, w2 = 5610.003, dw = -0.07325, nw = 1651 140902.0027.ec.fits: ap = 49, w1 = 5674.139, w2 = 5554.469, dw = -0.07253, nw = 1651 140902.0027.ec.fits: ap = 50, w1 = 5618.518, w2 = 5500.023, dw = -0.07181, nw = 1651 140902.0027.ec.fits: ap = 51, w1 = 5563.977, w2 = 5446.635, dw = -0.07112, nw = 1651 140902.0027.ec.fits: ap = 52, w1 = 5510.485, w2 = 5394.274, dw = -0.07043, nw = 1651 140902.0027.ec.fits: ap = 53, w1 = 5458.012, w2 = 5342.91, dw = -0.06976, nw = 1651 140902.0027.ec.fits: ap = 54, w1 = 5406.529, w2 = 5292.515, dw = -0.0691, nw = 1651 140902.0027.ec.fits: ap = 55, w1 = 5356.008, w2 = 5243.062, dw = -0.06845, nw = 1651 140902.0027.ec.fits: ap = 56, w1 = 5306.423, w2 = 5194.526, dw = -0.06782, nw = 1651 140902.0027.ec.fits: ap = 57, w1 = 5257.748, w2 = 5146.88, dw = -0.06719, nw = 1651 140902.0027.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.1, dw = -0.06658, nw = 1651 140902.0027.ec.fits: ap = 59, w1 = 5163.029, w2 = 5054.163, dw = -0.06598, nw = 1651 140902.0027.ec.fits: ap = 60, w1 = 5116.938, w2 = 5009.047, dw = -0.06539, nw = 1651 140902.0027.ec.fits: ap = 61, w1 = 5071.663, w2 = 4964.729, dw = -0.06481, nw = 1651 140902.0027.ec.fits: ap = 62, w1 = 5027.182, w2 = 4921.189, dw = -0.06424, nw = 1651 140902.0027.ec.fits: ap = 63, w1 = 4983.475, w2 = 4878.406, dw = -0.06368, nw = 1651 140902.0027.ec.fits: ap = 64, w1 = 4940.521, w2 = 4836.361, dw = -0.06313, nw = 1651 140902.0027.ec.fits: ap = 65, w1 = 4898.302, w2 = 4795.034, dw = -0.06259, nw = 1651 140902.0027.ec.fits: ap = 66, w1 = 4856.799, w2 = 4754.408, dw = -0.06205, nw = 1651 140902.0027.ec.fits: ap = 67, w1 = 4815.993, w2 = 4714.465, dw = -0.06153, nw = 1651 140902.0027.ec.fits: ap = 68, w1 = 4775.867, w2 = 4675.188, dw = -0.06102, nw = 1651 140902.0027.ec.fits: ap = 69, w1 = 4736.404, w2 = 4636.56, dw = -0.06051, nw = 1651 140902.0027.ec.fits: ap = 70, w1 = 4697.589, w2 = 4598.566, dw = -0.06001, nw = 1651 140902.0027.ec.fits: ap = 71, w1 = 4659.404, w2 = 4561.189, dw = -0.05952, nw = 1651 140902.0027.ec.fits: ap = 72, w1 = 4621.836, w2 = 4524.415, dw = -0.05904, nw = 1651 140902.0027.ec.fits: ap = 73, w1 = 4584.869, w2 = 4488.23, dw = -0.05857, nw = 1651 140902.0027.ec.fits: ap = 74, w1 = 4548.488, w2 = 4452.619, dw = -0.0581, nw = 1651 140902.0027.ec.fits: ap = 75, w1 = 4512.681, w2 = 4417.568, dw = -0.05764, nw = 1651 140902.0027.ec.fits: ap = 76, w1 = 4477.433, w2 = 4383.066, dw = -0.05719, nw = 1651 140902.0027.ec.fits: ap = 77, w1 = 4442.731, w2 = 4349.098, dw = -0.05675, nw = 1651 140902.0027.ec.fits: ap = 78, w1 = 4408.564, w2 = 4315.654, dw = -0.05631, nw = 1651 140902.0027.ec.fits: ap = 79, w1 = 4374.918, w2 = 4282.719, dw = -0.05588, nw = 1651 140902.0027.ec.fits: ap = 80, w1 = 4341.782, w2 = 4250.284, dw = -0.05545, nw = 1651 140902.0027.ec.fits: ap = 81, w1 = 4309.145, w2 = 4218.337, dw = -0.05504, nw = 1651 140902.0027.ec.fits: ap = 82, w1 = 4276.994, w2 = 4186.865, dw = -0.05462, nw = 1651 140902.0027.ec.fits: ap = 83, w1 = 4245.319, w2 = 4155.861, dw = -0.05422, nw = 1651 140902.0027.ec.fits: ap = 84, w1 = 4214.111, w2 = 4125.312, dw = -0.05382, nw = 1651 140902.0027.ec.fits: ap = 85, w1 = 4183.359, w2 = 4095.21, dw = -0.05342, nw = 1651 140902.0027.ec.fits: ap = 86, w1 = 4153.052, w2 = 4065.544, dw = -0.05304, nw = 1651 140902.0027.ec.fits: ap = 87, w1 = 4123.181, w2 = 4036.304, dw = -0.05265, nw = 1651 140902.0027.ec.fits: ap = 88, w1 = 4093.737, w2 = 4007.483, dw = -0.05228, nw = 1651 140902.0027.ec.fits: ap = 89, w1 = 4064.711, w2 = 3979.07, dw = -0.0519, nw = 1651 140902.0027.ec.fits: ap = 90, w1 = 4036.093, w2 = 3951.057, dw = -0.05154, nw = 1651 140902.0027.ec.fits: ap = 91, w1 = 4007.876, w2 = 3923.436, dw = -0.05118, nw = 1651 140902.0027.ec.fits: ap = 92, w1 = 3980.051, w2 = 3896.199, dw = -0.05082, nw = 1651 140902.0027.ec.fits: ap = 93, w1 = 3952.61, w2 = 3869.337, dw = -0.05047, nw = 1651 140902.0027.ec.fits: ap = 94, w1 = 3925.545, w2 = 3842.844, dw = -0.05012, nw = 1651 140902.0027.ec.fits: ap = 95, w1 = 3898.848, w2 = 3816.711, dw = -0.04978, nw = 1651 140902.0027.ec.fits: ap = 96, w1 = 3872.512, w2 = 3790.93, dw = -0.04944, nw = 1651 140902.0027.ec.fits: ap = 97, w1 = 3846.529, w2 = 3765.496, dw = -0.04911, nw = 1651 140902.0027.ec.fits: ap = 98, w1 = 3820.893, w2 = 3740.401, dw = -0.04878, nw = 1651 140902.0027.ec.fits: ap = 99, w1 = 3795.597, w2 = 3715.639, dw = -0.04846, nw = 1651 140902.0027.ec.fits: ap = 100, w1 = 3770.633, w2 = 3691.202, dw = -0.04814, nw = 1651 140902.0027.ec.fits: ap = 101, w1 = 3745.996, w2 = 3667.084, dw = -0.04783, nw = 1651 140902.0027.ec.fits: ap = 102, w1 = 3721.679, w2 = 3643.28, dw = -0.04751, nw = 1651 140902.0027.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.782, dw = -0.04721, nw = 1651 140902.0027.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.586, dw = -0.04691, nw = 1651 140902.0027.ec.fits: ap = 105, w1 = 3650.587, w2 = 3573.686, dw = -0.04661, nw = 1651 140902.0027.ec.fits: ap = 106, w1 = 3627.49, w2 = 3551.075, dw = -0.04631, nw = 1651 140902.0027.ec.fits: ap = 107, w1 = 3604.683, w2 = 3528.748, dw = -0.04602, nw = 1651 140902.0027.ec.fits: ap = 108, w1 = 3582.161, w2 = 3506.701, dw = -0.04573, nw = 1651 140902.0027.ec.fits: ap = 109, w1 = 3559.919, w2 = 3484.927, dw = -0.04545, nw = 1651 140902.0027.ec.fits: ap = 110, w1 = 3537.952, w2 = 3463.422, dw = -0.04517, nw = 1651 140902.0027.ec.fits: ap = 111, w1 = 3516.255, w2 = 3442.181, dw = -0.04489, nw = 1651 140902.0027.ec.fits: ap = 112, w1 = 3494.822, w2 = 3421.198, dw = -0.04462, nw = 1651 140902.0027.ec.fits: ap = 113, w1 = 3473.649, w2 = 3400.47, dw = -0.04435, nw = 1651 140902.0027.ec.fits: ap = 114, w1 = 3452.732, w2 = 3379.992, dw = -0.04408, nw = 1651 140902.0027.ec.fits: ap = 115, w1 = 3432.064, w2 = 3359.758, dw = -0.04382, nw = 1651 140902.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.71160787' 140902.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.28839216' 140902.0028.ec.fits: ap = 1, w1 = 10812.31, w2 = 10584.11, dw = -0.13831, nw = 1651 140902.0028.ec.fits: ap = 2, w1 = 10612.1, w2 = 10388.12, dw = -0.13574, nw = 1651 140902.0028.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.27, dw = -0.13327, nw = 1651 140902.0028.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.15, dw = -0.13089, nw = 1651 140902.0028.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.43, dw = -0.12859, nw = 1651 140902.0028.ec.fits: ap = 6, w1 = 9880.281, w2 = 9671.766, dw = -0.12637, nw = 1651 140902.0028.ec.fits: ap = 7, w1 = 9712.831, w2 = 9507.853, dw = -0.12423, nw = 1651 140902.0028.ec.fits: ap = 8, w1 = 9550.962, w2 = 9349.403, dw = -0.12216, nw = 1651 140902.0028.ec.fits: ap = 9, w1 = 9394.401, w2 = 9196.149, dw = -0.12015, nw = 1651 140902.0028.ec.fits: ap = 10, w1 = 9242.89, w2 = 9047.838, dw = -0.11821, nw = 1651 140902.0028.ec.fits: ap = 11, w1 = 9096.189, w2 = 8904.235, dw = -0.11634, nw = 1651 140902.0028.ec.fits: ap = 12, w1 = 8954.072, w2 = 8765.12, dw = -0.11452, nw = 1651 140902.0028.ec.fits: ap = 13, w1 = 8816.328, w2 = 8630.285, dw = -0.11275, nw = 1651 140902.0028.ec.fits: ap = 14, w1 = 8682.758, w2 = 8499.537, dw = -0.11104, nw = 1651 140902.0028.ec.fits: ap = 15, w1 = 8553.175, w2 = 8372.691, dw = -0.10938, nw = 1651 140902.0028.ec.fits: ap = 16, w1 = 8427.404, w2 = 8249.575, dw = -0.10777, nw = 1651 140902.0028.ec.fits: ap = 17, w1 = 8305.278, w2 = 8130.029, dw = -0.10621, nw = 1651 140902.0028.ec.fits: ap = 18, w1 = 8186.641, w2 = 8013.897, dw = -0.10469, nw = 1651 140902.0028.ec.fits: ap = 19, w1 = 8071.346, w2 = 7901.038, dw = -0.10322, nw = 1651 140902.0028.ec.fits: ap = 20, w1 = 7959.254, w2 = 7791.313, dw = -0.10178, nw = 1651 140902.0028.ec.fits: ap = 21, w1 = 7850.233, w2 = 7684.594, dw = -0.10039, nw = 1651 140902.0028.ec.fits: ap = 22, w1 = 7744.158, w2 = 7580.76, dw = -0.09903, nw = 1651 140902.0028.ec.fits: ap = 23, w1 = 7640.912, w2 = 7479.694, dw = -0.09771, nw = 1651 140902.0028.ec.fits: ap = 24, w1 = 7540.383, w2 = 7381.289, dw = -0.09642, nw = 1651 140902.0028.ec.fits: ap = 25, w1 = 7442.465, w2 = 7285.439, dw = -0.09517, nw = 1651 140902.0028.ec.fits: ap = 26, w1 = 7347.058, w2 = 7192.047, dw = -0.09395, nw = 1651 140902.0028.ec.fits: ap = 27, w1 = 7254.067, w2 = 7101.019, dw = -0.09276, nw = 1651 140902.0028.ec.fits: ap = 28, w1 = 7163.4, w2 = 7012.267, dw = -0.0916, nw = 1651 140902.0028.ec.fits: ap = 29, w1 = 7074.971, w2 = 6925.706, dw = -0.09046, nw = 1651 140902.0028.ec.fits: ap = 30, w1 = 6988.7, w2 = 6841.257, dw = -0.08936, nw = 1651 140902.0028.ec.fits: ap = 31, w1 = 6904.507, w2 = 6758.843, dw = -0.08828, nw = 1651 140902.0028.ec.fits: ap = 32, w1 = 6822.32, w2 = 6678.391, dw = -0.08723, nw = 1651 140902.0028.ec.fits: ap = 33, w1 = 6742.066, w2 = 6599.832, dw = -0.0862, nw = 1651 140902.0028.ec.fits: ap = 34, w1 = 6663.678, w2 = 6523.101, dw = -0.0852, nw = 1651 140902.0028.ec.fits: ap = 35, w1 = 6587.093, w2 = 6448.133, dw = -0.08422, nw = 1651 140902.0028.ec.fits: ap = 36, w1 = 6512.248, w2 = 6374.869, dw = -0.08326, nw = 1651 140902.0028.ec.fits: ap = 37, w1 = 6439.085, w2 = 6303.252, dw = -0.08232, nw = 1651 140902.0028.ec.fits: ap = 38, w1 = 6367.548, w2 = 6233.226, dw = -0.08141, nw = 1651 140902.0028.ec.fits: ap = 39, w1 = 6297.583, w2 = 6164.739, dw = -0.08051, nw = 1651 140902.0028.ec.fits: ap = 40, w1 = 6229.14, w2 = 6097.741, dw = -0.07964, nw = 1651 140902.0028.ec.fits: ap = 41, w1 = 6162.168, w2 = 6032.185, dw = -0.07878, nw = 1651 140902.0028.ec.fits: ap = 42, w1 = 6096.621, w2 = 5968.023, dw = -0.07794, nw = 1651 140902.0028.ec.fits: ap = 43, w1 = 6032.454, w2 = 5905.212, dw = -0.07712, nw = 1651 140902.0028.ec.fits: ap = 44, w1 = 5969.624, w2 = 5843.709, dw = -0.07631, nw = 1651 140902.0028.ec.fits: ap = 45, w1 = 5908.09, w2 = 5783.475, dw = -0.07552, nw = 1651 140902.0028.ec.fits: ap = 46, w1 = 5847.811, w2 = 5724.47, dw = -0.07475, nw = 1651 140902.0028.ec.fits: ap = 47, w1 = 5788.751, w2 = 5666.657, dw = -0.074, nw = 1651 140902.0028.ec.fits: ap = 48, w1 = 5730.871, w2 = 5610.001, dw = -0.07325, nw = 1651 140902.0028.ec.fits: ap = 49, w1 = 5674.138, w2 = 5554.466, dw = -0.07253, nw = 1651 140902.0028.ec.fits: ap = 50, w1 = 5618.517, w2 = 5500.021, dw = -0.07182, nw = 1651 140902.0028.ec.fits: ap = 51, w1 = 5563.976, w2 = 5446.633, dw = -0.07112, nw = 1651 140902.0028.ec.fits: ap = 52, w1 = 5510.484, w2 = 5394.272, dw = -0.07043, nw = 1651 140902.0028.ec.fits: ap = 53, w1 = 5458.011, w2 = 5342.908, dw = -0.06976, nw = 1651 140902.0028.ec.fits: ap = 54, w1 = 5406.528, w2 = 5292.513, dw = -0.0691, nw = 1651 140902.0028.ec.fits: ap = 55, w1 = 5356.008, w2 = 5243.06, dw = -0.06845, nw = 1651 140902.0028.ec.fits: ap = 56, w1 = 5306.423, w2 = 5194.524, dw = -0.06782, nw = 1651 140902.0028.ec.fits: ap = 57, w1 = 5257.748, w2 = 5146.878, dw = -0.06719, nw = 1651 140902.0028.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.098, dw = -0.06658, nw = 1651 140902.0028.ec.fits: ap = 59, w1 = 5163.029, w2 = 5054.161, dw = -0.06598, nw = 1651 140902.0028.ec.fits: ap = 60, w1 = 5116.938, w2 = 5009.045, dw = -0.06539, nw = 1651 140902.0028.ec.fits: ap = 61, w1 = 5071.663, w2 = 4964.727, dw = -0.06481, nw = 1651 140902.0028.ec.fits: ap = 62, w1 = 5027.183, w2 = 4921.187, dw = -0.06424, nw = 1651 140902.0028.ec.fits: ap = 63, w1 = 4983.476, w2 = 4878.404, dw = -0.06368, nw = 1651 140902.0028.ec.fits: ap = 64, w1 = 4940.522, w2 = 4836.359, dw = -0.06313, nw = 1651 140902.0028.ec.fits: ap = 65, w1 = 4898.303, w2 = 4795.032, dw = -0.06259, nw = 1651 140902.0028.ec.fits: ap = 66, w1 = 4856.799, w2 = 4754.407, dw = -0.06206, nw = 1651 140902.0028.ec.fits: ap = 67, w1 = 4815.994, w2 = 4714.464, dw = -0.06153, nw = 1651 140902.0028.ec.fits: ap = 68, w1 = 4775.868, w2 = 4675.186, dw = -0.06102, nw = 1651 140902.0028.ec.fits: ap = 69, w1 = 4736.405, w2 = 4636.558, dw = -0.06051, nw = 1651 140902.0028.ec.fits: ap = 70, w1 = 4697.589, w2 = 4598.564, dw = -0.06002, nw = 1651 140902.0028.ec.fits: ap = 71, w1 = 4659.405, w2 = 4561.187, dw = -0.05953, nw = 1651 140902.0028.ec.fits: ap = 72, w1 = 4621.837, w2 = 4524.413, dw = -0.05904, nw = 1651 140902.0028.ec.fits: ap = 73, w1 = 4584.869, w2 = 4488.228, dw = -0.05857, nw = 1651 140902.0028.ec.fits: ap = 74, w1 = 4548.488, w2 = 4452.617, dw = -0.0581, nw = 1651 140902.0028.ec.fits: ap = 75, w1 = 4512.681, w2 = 4417.567, dw = -0.05764, nw = 1651 140902.0028.ec.fits: ap = 76, w1 = 4477.433, w2 = 4383.064, dw = -0.05719, nw = 1651 140902.0028.ec.fits: ap = 77, w1 = 4442.731, w2 = 4349.097, dw = -0.05675, nw = 1651 140902.0028.ec.fits: ap = 78, w1 = 4408.563, w2 = 4315.652, dw = -0.05631, nw = 1651 140902.0028.ec.fits: ap = 79, w1 = 4374.917, w2 = 4282.718, dw = -0.05588, nw = 1651 140902.0028.ec.fits: ap = 80, w1 = 4341.781, w2 = 4250.282, dw = -0.05545, nw = 1651 140902.0028.ec.fits: ap = 81, w1 = 4309.143, w2 = 4218.335, dw = -0.05504, nw = 1651 140902.0028.ec.fits: ap = 82, w1 = 4276.991, w2 = 4186.864, dw = -0.05462, nw = 1651 140902.0028.ec.fits: ap = 83, w1 = 4245.317, w2 = 4155.859, dw = -0.05422, nw = 1651 140902.0028.ec.fits: ap = 84, w1 = 4214.108, w2 = 4125.311, dw = -0.05382, nw = 1651 140902.0028.ec.fits: ap = 85, w1 = 4183.354, w2 = 4095.208, dw = -0.05342, nw = 1651 140902.0028.ec.fits: ap = 86, w1 = 4153.047, w2 = 4065.542, dw = -0.05303, nw = 1651 140902.0028.ec.fits: ap = 87, w1 = 4123.175, w2 = 4036.303, dw = -0.05265, nw = 1651 140902.0028.ec.fits: ap = 88, w1 = 4093.731, w2 = 4007.481, dw = -0.05227, nw = 1651 140902.0028.ec.fits: ap = 89, w1 = 4064.703, w2 = 3979.068, dw = -0.0519, nw = 1651 140902.0028.ec.fits: ap = 90, w1 = 4036.085, w2 = 3951.056, dw = -0.05153, nw = 1651 140902.0028.ec.fits: ap = 91, w1 = 4007.867, w2 = 3923.435, dw = -0.05117, nw = 1651 140902.0028.ec.fits: ap = 92, w1 = 3980.041, w2 = 3896.197, dw = -0.05081, nw = 1651 140902.0028.ec.fits: ap = 93, w1 = 3952.598, w2 = 3869.336, dw = -0.05046, nw = 1651 140902.0028.ec.fits: ap = 94, w1 = 3925.532, w2 = 3842.842, dw = -0.05012, nw = 1651 140902.0028.ec.fits: ap = 95, w1 = 3898.834, w2 = 3816.709, dw = -0.04977, nw = 1651 140902.0028.ec.fits: ap = 96, w1 = 3872.496, w2 = 3790.928, dw = -0.04943, nw = 1651 140902.0028.ec.fits: ap = 97, w1 = 3846.512, w2 = 3765.494, dw = -0.0491, nw = 1651 140902.0028.ec.fits: ap = 98, w1 = 3820.874, w2 = 3740.399, dw = -0.04877, nw = 1651 140902.0028.ec.fits: ap = 99, w1 = 3795.576, w2 = 3715.636, dw = -0.04845, nw = 1651 140902.0028.ec.fits: ap = 100, w1 = 3770.611, w2 = 3691.199, dw = -0.04813, nw = 1651 140902.0028.ec.fits: ap = 101, w1 = 3745.972, w2 = 3667.082, dw = -0.04781, nw = 1651 140902.0028.ec.fits: ap = 102, w1 = 3721.653, w2 = 3643.277, dw = -0.0475, nw = 1651 140902.0028.ec.fits: ap = 103, w1 = 3697.648, w2 = 3619.78, dw = -0.04719, nw = 1651 140902.0028.ec.fits: ap = 104, w1 = 3673.95, w2 = 3596.583, dw = -0.04689, nw = 1651 140902.0028.ec.fits: ap = 105, w1 = 3650.554, w2 = 3573.683, dw = -0.04659, nw = 1651 140902.0028.ec.fits: ap = 106, w1 = 3627.454, w2 = 3551.072, dw = -0.04629, nw = 1651 140902.0028.ec.fits: ap = 107, w1 = 3604.645, w2 = 3528.745, dw = -0.046, nw = 1651 140902.0028.ec.fits: ap = 108, w1 = 3582.121, w2 = 3506.697, dw = -0.04571, nw = 1651 140902.0028.ec.fits: ap = 109, w1 = 3559.877, w2 = 3484.923, dw = -0.04543, nw = 1651 140902.0028.ec.fits: ap = 110, w1 = 3537.907, w2 = 3463.418, dw = -0.04514, nw = 1651 140902.0028.ec.fits: ap = 111, w1 = 3516.206, w2 = 3442.176, dw = -0.04487, nw = 1651 140902.0028.ec.fits: ap = 112, w1 = 3494.771, w2 = 3421.194, dw = -0.04459, nw = 1651 140902.0028.ec.fits: ap = 113, w1 = 3473.594, w2 = 3400.465, dw = -0.04432, nw = 1651 140902.0028.ec.fits: ap = 114, w1 = 3452.673, w2 = 3379.986, dw = -0.04405, nw = 1651 140902.0028.ec.fits: ap = 115, w1 = 3432.003, w2 = 3359.753, dw = -0.04379, nw = 1651 140902.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.51665896' 140902.0029.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.48334101' 140902.0029.ec.fits: ap = 1, w1 = 10812.3, w2 = 10584.1, dw = -0.1383, nw = 1651 140902.0029.ec.fits: ap = 2, w1 = 10612.08, w2 = 10388.12, dw = -0.13574, nw = 1651 140902.0029.ec.fits: ap = 3, w1 = 10419.15, w2 = 10199.26, dw = -0.13327, nw = 1651 140902.0029.ec.fits: ap = 4, w1 = 10233.11, w2 = 10017.15, dw = -0.13089, nw = 1651 140902.0029.ec.fits: ap = 5, w1 = 10053.6, w2 = 9841.423, dw = -0.12859, nw = 1651 140902.0029.ec.fits: ap = 6, w1 = 9880.272, w2 = 9671.76, dw = -0.12637, nw = 1651 140902.0029.ec.fits: ap = 7, w1 = 9712.823, w2 = 9507.847, dw = -0.12423, nw = 1651 140902.0029.ec.fits: ap = 8, w1 = 9550.956, w2 = 9349.398, dw = -0.12216, nw = 1651 140902.0029.ec.fits: ap = 9, w1 = 9394.396, w2 = 9196.144, dw = -0.12015, nw = 1651 140902.0029.ec.fits: ap = 10, w1 = 9242.885, w2 = 9047.834, dw = -0.11821, nw = 1651 140902.0029.ec.fits: ap = 11, w1 = 9096.185, w2 = 8904.231, dw = -0.11634, nw = 1651 140902.0029.ec.fits: ap = 12, w1 = 8954.069, w2 = 8765.117, dw = -0.11452, nw = 1651 140902.0029.ec.fits: ap = 13, w1 = 8816.325, w2 = 8630.282, dw = -0.11275, nw = 1651 140902.0029.ec.fits: ap = 14, w1 = 8682.755, w2 = 8499.533, dw = -0.11104, nw = 1651 140902.0029.ec.fits: ap = 15, w1 = 8553.173, w2 = 8372.688, dw = -0.10938, nw = 1651 140902.0029.ec.fits: ap = 16, w1 = 8427.401, w2 = 8249.573, dw = -0.10778, nw = 1651 140902.0029.ec.fits: ap = 17, w1 = 8305.276, w2 = 8130.026, dw = -0.10621, nw = 1651 140902.0029.ec.fits: ap = 18, w1 = 8186.639, w2 = 8013.895, dw = -0.10469, nw = 1651 140902.0029.ec.fits: ap = 19, w1 = 8071.344, w2 = 7901.035, dw = -0.10322, nw = 1651 140902.0029.ec.fits: ap = 20, w1 = 7959.252, w2 = 7791.31, dw = -0.10178, nw = 1651 140902.0029.ec.fits: ap = 21, w1 = 7850.231, w2 = 7684.592, dw = -0.10039, nw = 1651 140902.0029.ec.fits: ap = 22, w1 = 7744.156, w2 = 7580.758, dw = -0.09903, nw = 1651 140902.0029.ec.fits: ap = 23, w1 = 7640.91, w2 = 7479.692, dw = -0.09771, nw = 1651 140902.0029.ec.fits: ap = 24, w1 = 7540.381, w2 = 7381.286, dw = -0.09642, nw = 1651 140902.0029.ec.fits: ap = 25, w1 = 7442.464, w2 = 7285.437, dw = -0.09517, nw = 1651 140902.0029.ec.fits: ap = 26, w1 = 7347.057, w2 = 7192.045, dw = -0.09395, nw = 1651 140902.0029.ec.fits: ap = 27, w1 = 7254.065, w2 = 7101.017, dw = -0.09276, nw = 1651 140902.0029.ec.fits: ap = 28, w1 = 7163.398, w2 = 7012.265, dw = -0.0916, nw = 1651 140902.0029.ec.fits: ap = 29, w1 = 7074.969, w2 = 6925.704, dw = -0.09046, nw = 1651 140902.0029.ec.fits: ap = 30, w1 = 6988.698, w2 = 6841.255, dw = -0.08936, nw = 1651 140902.0029.ec.fits: ap = 31, w1 = 6904.506, w2 = 6758.841, dw = -0.08828, nw = 1651 140902.0029.ec.fits: ap = 32, w1 = 6822.318, w2 = 6678.389, dw = -0.08723, nw = 1651 140902.0029.ec.fits: ap = 33, w1 = 6742.064, w2 = 6599.83, dw = -0.0862, nw = 1651 140902.0029.ec.fits: ap = 34, w1 = 6663.676, w2 = 6523.099, dw = -0.0852, nw = 1651 140902.0029.ec.fits: ap = 35, w1 = 6587.091, w2 = 6448.131, dw = -0.08422, nw = 1651 140902.0029.ec.fits: ap = 36, w1 = 6512.246, w2 = 6374.867, dw = -0.08326, nw = 1651 140902.0029.ec.fits: ap = 37, w1 = 6439.083, w2 = 6303.25, dw = -0.08232, nw = 1651 140902.0029.ec.fits: ap = 38, w1 = 6367.546, w2 = 6233.224, dw = -0.08141, nw = 1651 140902.0029.ec.fits: ap = 39, w1 = 6297.581, w2 = 6164.737, dw = -0.08051, nw = 1651 140902.0029.ec.fits: ap = 40, w1 = 6229.138, w2 = 6097.739, dw = -0.07964, nw = 1651 140902.0029.ec.fits: ap = 41, w1 = 6162.166, w2 = 6032.182, dw = -0.07878, nw = 1651 140902.0029.ec.fits: ap = 42, w1 = 6096.619, w2 = 5968.02, dw = -0.07794, nw = 1651 140902.0029.ec.fits: ap = 43, w1 = 6032.453, w2 = 5905.209, dw = -0.07712, nw = 1651 140902.0029.ec.fits: ap = 44, w1 = 5969.623, w2 = 5843.707, dw = -0.07631, nw = 1651 140902.0029.ec.fits: ap = 45, w1 = 5908.088, w2 = 5783.473, dw = -0.07552, nw = 1651 140902.0029.ec.fits: ap = 46, w1 = 5847.81, w2 = 5724.468, dw = -0.07475, nw = 1651 140902.0029.ec.fits: ap = 47, w1 = 5788.749, w2 = 5666.655, dw = -0.074, nw = 1651 140902.0029.ec.fits: ap = 48, w1 = 5730.87, w2 = 5609.998, dw = -0.07326, nw = 1651 140902.0029.ec.fits: ap = 49, w1 = 5674.137, w2 = 5554.464, dw = -0.07253, nw = 1651 140902.0029.ec.fits: ap = 50, w1 = 5618.516, w2 = 5500.019, dw = -0.07182, nw = 1651 140902.0029.ec.fits: ap = 51, w1 = 5563.975, w2 = 5446.631, dw = -0.07112, nw = 1651 140902.0029.ec.fits: ap = 52, w1 = 5510.484, w2 = 5394.269, dw = -0.07043, nw = 1651 140902.0029.ec.fits: ap = 53, w1 = 5458.011, w2 = 5342.905, dw = -0.06976, nw = 1651 140902.0029.ec.fits: ap = 54, w1 = 5406.528, w2 = 5292.511, dw = -0.0691, nw = 1651 140902.0029.ec.fits: ap = 55, w1 = 5356.008, w2 = 5243.058, dw = -0.06845, nw = 1651 140902.0029.ec.fits: ap = 56, w1 = 5306.423, w2 = 5194.521, dw = -0.06782, nw = 1651 140902.0029.ec.fits: ap = 57, w1 = 5257.748, w2 = 5146.875, dw = -0.0672, nw = 1651 140902.0029.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.096, dw = -0.06658, nw = 1651 140902.0029.ec.fits: ap = 59, w1 = 5163.03, w2 = 5054.159, dw = -0.06598, nw = 1651 140902.0029.ec.fits: ap = 60, w1 = 5116.939, w2 = 5009.042, dw = -0.06539, nw = 1651 140902.0029.ec.fits: ap = 61, w1 = 5071.664, w2 = 4964.725, dw = -0.06481, nw = 1651 140902.0029.ec.fits: ap = 62, w1 = 5027.183, w2 = 4921.185, dw = -0.06424, nw = 1651 140902.0029.ec.fits: ap = 63, w1 = 4983.477, w2 = 4878.402, dw = -0.06368, nw = 1651 140902.0029.ec.fits: ap = 64, w1 = 4940.523, w2 = 4836.357, dw = -0.06313, nw = 1651 140902.0029.ec.fits: ap = 65, w1 = 4898.304, w2 = 4795.03, dw = -0.06259, nw = 1651 140902.0029.ec.fits: ap = 66, w1 = 4856.801, w2 = 4754.404, dw = -0.06206, nw = 1651 140902.0029.ec.fits: ap = 67, w1 = 4815.995, w2 = 4714.461, dw = -0.06154, nw = 1651 140902.0029.ec.fits: ap = 68, w1 = 4775.869, w2 = 4675.184, dw = -0.06102, nw = 1651 140902.0029.ec.fits: ap = 69, w1 = 4736.406, w2 = 4636.556, dw = -0.06051, nw = 1651 140902.0029.ec.fits: ap = 70, w1 = 4697.59, w2 = 4598.562, dw = -0.06002, nw = 1651 140902.0029.ec.fits: ap = 71, w1 = 4659.406, w2 = 4561.185, dw = -0.05953, nw = 1651 140902.0029.ec.fits: ap = 72, w1 = 4621.837, w2 = 4524.411, dw = -0.05905, nw = 1651 140902.0029.ec.fits: ap = 73, w1 = 4584.87, w2 = 4488.226, dw = -0.05857, nw = 1651 140902.0029.ec.fits: ap = 74, w1 = 4548.489, w2 = 4452.615, dw = -0.05811, nw = 1651 140902.0029.ec.fits: ap = 75, w1 = 4512.681, w2 = 4417.565, dw = -0.05765, nw = 1651 140902.0029.ec.fits: ap = 76, w1 = 4477.433, w2 = 4383.062, dw = -0.05719, nw = 1651 140902.0029.ec.fits: ap = 77, w1 = 4442.731, w2 = 4349.095, dw = -0.05675, nw = 1651 140902.0029.ec.fits: ap = 78, w1 = 4408.562, w2 = 4315.65, dw = -0.05631, nw = 1651 140902.0029.ec.fits: ap = 79, w1 = 4374.916, w2 = 4282.716, dw = -0.05588, nw = 1651 140902.0029.ec.fits: ap = 80, w1 = 4341.779, w2 = 4250.28, dw = -0.05545, nw = 1651 140902.0029.ec.fits: ap = 81, w1 = 4309.14, w2 = 4218.333, dw = -0.05503, nw = 1651 140902.0029.ec.fits: ap = 82, w1 = 4276.988, w2 = 4186.862, dw = -0.05462, nw = 1651 140902.0029.ec.fits: ap = 83, w1 = 4245.313, w2 = 4155.857, dw = -0.05422, nw = 1651 140902.0029.ec.fits: ap = 84, w1 = 4214.104, w2 = 4125.309, dw = -0.05381, nw = 1651 140902.0029.ec.fits: ap = 85, w1 = 4183.35, w2 = 4095.207, dw = -0.05342, nw = 1651 140902.0029.ec.fits: ap = 86, w1 = 4153.041, w2 = 4065.54, dw = -0.05303, nw = 1651 140902.0029.ec.fits: ap = 87, w1 = 4123.169, w2 = 4036.301, dw = -0.05265, nw = 1651 140902.0029.ec.fits: ap = 88, w1 = 4093.723, w2 = 4007.479, dw = -0.05227, nw = 1651 140902.0029.ec.fits: ap = 89, w1 = 4064.695, w2 = 3979.066, dw = -0.0519, nw = 1651 140902.0029.ec.fits: ap = 90, w1 = 4036.075, w2 = 3951.054, dw = -0.05153, nw = 1651 140902.0029.ec.fits: ap = 91, w1 = 4007.856, w2 = 3923.433, dw = -0.05117, nw = 1651 140902.0029.ec.fits: ap = 92, w1 = 3980.029, w2 = 3896.195, dw = -0.05081, nw = 1651 140902.0029.ec.fits: ap = 93, w1 = 3952.585, w2 = 3869.334, dw = -0.05046, nw = 1651 140902.0029.ec.fits: ap = 94, w1 = 3925.517, w2 = 3842.84, dw = -0.05011, nw = 1651 140902.0029.ec.fits: ap = 95, w1 = 3898.817, w2 = 3816.706, dw = -0.04976, nw = 1651 140902.0029.ec.fits: ap = 96, w1 = 3872.478, w2 = 3790.926, dw = -0.04943, nw = 1651 140902.0029.ec.fits: ap = 97, w1 = 3846.492, w2 = 3765.492, dw = -0.04909, nw = 1651 140902.0029.ec.fits: ap = 98, w1 = 3820.853, w2 = 3740.397, dw = -0.04876, nw = 1651 140902.0029.ec.fits: ap = 99, w1 = 3795.553, w2 = 3715.634, dw = -0.04844, nw = 1651 140902.0029.ec.fits: ap = 100, w1 = 3770.585, w2 = 3691.196, dw = -0.04811, nw = 1651 140902.0029.ec.fits: ap = 101, w1 = 3745.944, w2 = 3667.079, dw = -0.0478, nw = 1651 140902.0029.ec.fits: ap = 102, w1 = 3721.623, w2 = 3643.274, dw = -0.04748, nw = 1651 140902.0029.ec.fits: ap = 103, w1 = 3697.615, w2 = 3619.776, dw = -0.04718, nw = 1651 140902.0029.ec.fits: ap = 104, w1 = 3673.915, w2 = 3596.58, dw = -0.04687, nw = 1651 140902.0029.ec.fits: ap = 105, w1 = 3650.517, w2 = 3573.679, dw = -0.04657, nw = 1651 140902.0029.ec.fits: ap = 106, w1 = 3627.414, w2 = 3551.068, dw = -0.04627, nw = 1651 140902.0029.ec.fits: ap = 107, w1 = 3604.602, w2 = 3528.741, dw = -0.04598, nw = 1651 140902.0029.ec.fits: ap = 108, w1 = 3582.075, w2 = 3506.693, dw = -0.04569, nw = 1651 140902.0029.ec.fits: ap = 109, w1 = 3559.828, w2 = 3484.919, dw = -0.0454, nw = 1651 140902.0029.ec.fits: ap = 110, w1 = 3537.855, w2 = 3463.413, dw = -0.04512, nw = 1651 140902.0029.ec.fits: ap = 111, w1 = 3516.151, w2 = 3442.171, dw = -0.04484, nw = 1651 140902.0029.ec.fits: ap = 112, w1 = 3494.711, w2 = 3421.188, dw = -0.04456, nw = 1651 140902.0029.ec.fits: ap = 113, w1 = 3473.532, w2 = 3400.46, dw = -0.04429, nw = 1651 140902.0029.ec.fits: ap = 114, w1 = 3452.607, w2 = 3379.981, dw = -0.04402, nw = 1651 140902.0029.ec.fits: ap = 115, w1 = 3431.932, w2 = 3359.747, dw = -0.04375, nw = 1651 140902.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.2805129' 140902.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.71948707' 140902.0030.ec.fits: ap = 1, w1 = 10812.27, w2 = 10584.09, dw = -0.13829, nw = 1651 140902.0030.ec.fits: ap = 2, w1 = 10612.07, w2 = 10388.11, dw = -0.13573, nw = 1651 140902.0030.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.25, dw = -0.13326, nw = 1651 140902.0030.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.14, dw = -0.13088, nw = 1651 140902.0030.ec.fits: ap = 5, w1 = 10053.58, w2 = 9841.416, dw = -0.12859, nw = 1651 140902.0030.ec.fits: ap = 6, w1 = 9880.262, w2 = 9671.753, dw = -0.12637, nw = 1651 140902.0030.ec.fits: ap = 7, w1 = 9712.815, w2 = 9507.841, dw = -0.12423, nw = 1651 140902.0030.ec.fits: ap = 8, w1 = 9550.948, w2 = 9349.393, dw = -0.12216, nw = 1651 140902.0030.ec.fits: ap = 9, w1 = 9394.389, w2 = 9196.139, dw = -0.12015, nw = 1651 140902.0030.ec.fits: ap = 10, w1 = 9242.88, w2 = 9047.829, dw = -0.11821, nw = 1651 140902.0030.ec.fits: ap = 11, w1 = 9096.18, w2 = 8904.227, dw = -0.11634, nw = 1651 140902.0030.ec.fits: ap = 12, w1 = 8954.064, w2 = 8765.112, dw = -0.11452, nw = 1651 140902.0030.ec.fits: ap = 13, w1 = 8816.321, w2 = 8630.278, dw = -0.11275, nw = 1651 140902.0030.ec.fits: ap = 14, w1 = 8682.752, w2 = 8499.53, dw = -0.11104, nw = 1651 140902.0030.ec.fits: ap = 15, w1 = 8553.17, w2 = 8372.684, dw = -0.10939, nw = 1651 140902.0030.ec.fits: ap = 16, w1 = 8427.399, w2 = 8249.569, dw = -0.10778, nw = 1651 140902.0030.ec.fits: ap = 17, w1 = 8305.273, w2 = 8130.023, dw = -0.10621, nw = 1651 140902.0030.ec.fits: ap = 18, w1 = 8186.637, w2 = 8013.892, dw = -0.10469, nw = 1651 140902.0030.ec.fits: ap = 19, w1 = 8071.342, w2 = 7901.032, dw = -0.10322, nw = 1651 140902.0030.ec.fits: ap = 20, w1 = 7959.25, w2 = 7791.308, dw = -0.10178, nw = 1651 140902.0030.ec.fits: ap = 21, w1 = 7850.229, w2 = 7684.589, dw = -0.10039, nw = 1651 140902.0030.ec.fits: ap = 22, w1 = 7744.154, w2 = 7580.755, dw = -0.09903, nw = 1651 140902.0030.ec.fits: ap = 23, w1 = 7640.908, w2 = 7479.689, dw = -0.09771, nw = 1651 140902.0030.ec.fits: ap = 24, w1 = 7540.379, w2 = 7381.284, dw = -0.09642, nw = 1651 140902.0030.ec.fits: ap = 25, w1 = 7442.462, w2 = 7285.434, dw = -0.09517, nw = 1651 140902.0030.ec.fits: ap = 26, w1 = 7347.054, w2 = 7192.042, dw = -0.09395, nw = 1651 140902.0030.ec.fits: ap = 27, w1 = 7254.063, w2 = 7101.014, dw = -0.09276, nw = 1651 140902.0030.ec.fits: ap = 28, w1 = 7163.396, w2 = 7012.262, dw = -0.0916, nw = 1651 140902.0030.ec.fits: ap = 29, w1 = 7074.967, w2 = 6925.702, dw = -0.09046, nw = 1651 140902.0030.ec.fits: ap = 30, w1 = 6988.696, w2 = 6841.253, dw = -0.08936, nw = 1651 140902.0030.ec.fits: ap = 31, w1 = 6904.503, w2 = 6758.838, dw = -0.08828, nw = 1651 140902.0030.ec.fits: ap = 32, w1 = 6822.315, w2 = 6678.387, dw = -0.08723, nw = 1651 140902.0030.ec.fits: ap = 33, w1 = 6742.061, w2 = 6599.828, dw = -0.0862, nw = 1651 140902.0030.ec.fits: ap = 34, w1 = 6663.674, w2 = 6523.096, dw = -0.0852, nw = 1651 140902.0030.ec.fits: ap = 35, w1 = 6587.088, w2 = 6448.128, dw = -0.08422, nw = 1651 140902.0030.ec.fits: ap = 36, w1 = 6512.244, w2 = 6374.864, dw = -0.08326, nw = 1651 140902.0030.ec.fits: ap = 37, w1 = 6439.081, w2 = 6303.247, dw = -0.08232, nw = 1651 140902.0030.ec.fits: ap = 38, w1 = 6367.544, w2 = 6233.221, dw = -0.08141, nw = 1651 140902.0030.ec.fits: ap = 39, w1 = 6297.579, w2 = 6164.734, dw = -0.08051, nw = 1651 140902.0030.ec.fits: ap = 40, w1 = 6229.135, w2 = 6097.736, dw = -0.07964, nw = 1651 140902.0030.ec.fits: ap = 41, w1 = 6162.164, w2 = 6032.18, dw = -0.07878, nw = 1651 140902.0030.ec.fits: ap = 42, w1 = 6096.617, w2 = 5968.018, dw = -0.07794, nw = 1651 140902.0030.ec.fits: ap = 43, w1 = 6032.451, w2 = 5905.206, dw = -0.07712, nw = 1651 140902.0030.ec.fits: ap = 44, w1 = 5969.621, w2 = 5843.704, dw = -0.07631, nw = 1651 140902.0030.ec.fits: ap = 45, w1 = 5908.087, w2 = 5783.47, dw = -0.07553, nw = 1651 140902.0030.ec.fits: ap = 46, w1 = 5847.808, w2 = 5724.465, dw = -0.07475, nw = 1651 140902.0030.ec.fits: ap = 47, w1 = 5788.748, w2 = 5666.652, dw = -0.074, nw = 1651 140902.0030.ec.fits: ap = 48, w1 = 5730.869, w2 = 5609.996, dw = -0.07326, nw = 1651 140902.0030.ec.fits: ap = 49, w1 = 5674.136, w2 = 5554.461, dw = -0.07253, nw = 1651 140902.0030.ec.fits: ap = 50, w1 = 5618.515, w2 = 5500.016, dw = -0.07182, nw = 1651 140902.0030.ec.fits: ap = 51, w1 = 5563.975, w2 = 5446.628, dw = -0.07112, nw = 1651 140902.0030.ec.fits: ap = 52, w1 = 5510.483, w2 = 5394.266, dw = -0.07043, nw = 1651 140902.0030.ec.fits: ap = 53, w1 = 5458.01, w2 = 5342.902, dw = -0.06976, nw = 1651 140902.0030.ec.fits: ap = 54, w1 = 5406.528, w2 = 5292.508, dw = -0.0691, nw = 1651 140902.0030.ec.fits: ap = 55, w1 = 5356.008, w2 = 5243.055, dw = -0.06846, nw = 1651 140902.0030.ec.fits: ap = 56, w1 = 5306.423, w2 = 5194.518, dw = -0.06782, nw = 1651 140902.0030.ec.fits: ap = 57, w1 = 5257.748, w2 = 5146.872, dw = -0.0672, nw = 1651 140902.0030.ec.fits: ap = 58, w1 = 5209.959, w2 = 5100.093, dw = -0.06659, nw = 1651 140902.0030.ec.fits: ap = 59, w1 = 5163.03, w2 = 5054.156, dw = -0.06598, nw = 1651 140902.0030.ec.fits: ap = 60, w1 = 5116.94, w2 = 5009.04, dw = -0.06539, nw = 1651 140902.0030.ec.fits: ap = 61, w1 = 5071.665, w2 = 4964.722, dw = -0.06481, nw = 1651 140902.0030.ec.fits: ap = 62, w1 = 5027.185, w2 = 4921.182, dw = -0.06424, nw = 1651 140902.0030.ec.fits: ap = 63, w1 = 4983.478, w2 = 4878.399, dw = -0.06368, nw = 1651 140902.0030.ec.fits: ap = 64, w1 = 4940.524, w2 = 4836.354, dw = -0.06313, nw = 1651 140902.0030.ec.fits: ap = 65, w1 = 4898.305, w2 = 4795.028, dw = -0.06259, nw = 1651 140902.0030.ec.fits: ap = 66, w1 = 4856.802, w2 = 4754.402, dw = -0.06206, nw = 1651 140902.0030.ec.fits: ap = 67, w1 = 4815.996, w2 = 4714.459, dw = -0.06154, nw = 1651 140902.0030.ec.fits: ap = 68, w1 = 4775.87, w2 = 4675.182, dw = -0.06102, nw = 1651 140902.0030.ec.fits: ap = 69, w1 = 4736.407, w2 = 4636.554, dw = -0.06052, nw = 1651 140902.0030.ec.fits: ap = 70, w1 = 4697.592, w2 = 4598.559, dw = -0.06002, nw = 1651 140902.0030.ec.fits: ap = 71, w1 = 4659.407, w2 = 4561.183, dw = -0.05953, nw = 1651 140902.0030.ec.fits: ap = 72, w1 = 4621.838, w2 = 4524.409, dw = -0.05905, nw = 1651 140902.0030.ec.fits: ap = 73, w1 = 4584.87, w2 = 4488.223, dw = -0.05857, nw = 1651 140902.0030.ec.fits: ap = 74, w1 = 4548.489, w2 = 4452.612, dw = -0.05811, nw = 1651 140902.0030.ec.fits: ap = 75, w1 = 4512.681, w2 = 4417.562, dw = -0.05765, nw = 1651 140902.0030.ec.fits: ap = 76, w1 = 4477.432, w2 = 4383.06, dw = -0.0572, nw = 1651 140902.0030.ec.fits: ap = 77, w1 = 4442.73, w2 = 4349.092, dw = -0.05675, nw = 1651 140902.0030.ec.fits: ap = 78, w1 = 4408.561, w2 = 4315.648, dw = -0.05631, nw = 1651 140902.0030.ec.fits: ap = 79, w1 = 4374.914, w2 = 4282.713, dw = -0.05588, nw = 1651 140902.0030.ec.fits: ap = 80, w1 = 4341.777, w2 = 4250.278, dw = -0.05545, nw = 1651 140902.0030.ec.fits: ap = 81, w1 = 4309.138, w2 = 4218.331, dw = -0.05503, nw = 1651 140902.0030.ec.fits: ap = 82, w1 = 4276.985, w2 = 4186.86, dw = -0.05462, nw = 1651 140902.0030.ec.fits: ap = 83, w1 = 4245.309, w2 = 4155.855, dw = -0.05421, nw = 1651 140902.0030.ec.fits: ap = 84, w1 = 4214.099, w2 = 4125.307, dw = -0.05381, nw = 1651 140902.0030.ec.fits: ap = 85, w1 = 4183.344, w2 = 4095.204, dw = -0.05342, nw = 1651 140902.0030.ec.fits: ap = 86, w1 = 4153.034, w2 = 4065.538, dw = -0.05303, nw = 1651 140902.0030.ec.fits: ap = 87, w1 = 4123.161, w2 = 4036.299, dw = -0.05264, nw = 1651 140902.0030.ec.fits: ap = 88, w1 = 4093.714, w2 = 4007.477, dw = -0.05226, nw = 1651 140902.0030.ec.fits: ap = 89, w1 = 4064.685, w2 = 3979.064, dw = -0.05189, nw = 1651 140902.0030.ec.fits: ap = 90, w1 = 4036.064, w2 = 3951.051, dw = -0.05152, nw = 1651 140902.0030.ec.fits: ap = 91, w1 = 4007.843, w2 = 3923.43, dw = -0.05116, nw = 1651 140902.0030.ec.fits: ap = 92, w1 = 3980.014, w2 = 3896.193, dw = -0.0508, nw = 1651 140902.0030.ec.fits: ap = 93, w1 = 3952.569, w2 = 3869.331, dw = -0.05045, nw = 1651 140902.0030.ec.fits: ap = 94, w1 = 3925.499, w2 = 3842.837, dw = -0.0501, nw = 1651 140902.0030.ec.fits: ap = 95, w1 = 3898.797, w2 = 3816.704, dw = -0.04975, nw = 1651 140902.0030.ec.fits: ap = 96, w1 = 3872.456, w2 = 3790.923, dw = -0.04941, nw = 1651 140902.0030.ec.fits: ap = 97, w1 = 3846.468, w2 = 3765.489, dw = -0.04908, nw = 1651 140902.0030.ec.fits: ap = 98, w1 = 3820.827, w2 = 3740.393, dw = -0.04875, nw = 1651 140902.0030.ec.fits: ap = 99, w1 = 3795.524, w2 = 3715.63, dw = -0.04842, nw = 1651 140902.0030.ec.fits: ap = 100, w1 = 3770.554, w2 = 3691.193, dw = -0.0481, nw = 1651 140902.0030.ec.fits: ap = 101, w1 = 3745.911, w2 = 3667.075, dw = -0.04778, nw = 1651 140902.0030.ec.fits: ap = 102, w1 = 3721.587, w2 = 3643.27, dw = -0.04746, nw = 1651 140902.0030.ec.fits: ap = 103, w1 = 3697.576, w2 = 3619.772, dw = -0.04715, nw = 1651 140902.0030.ec.fits: ap = 104, w1 = 3673.873, w2 = 3596.576, dw = -0.04685, nw = 1651 140902.0030.ec.fits: ap = 105, w1 = 3650.471, w2 = 3573.675, dw = -0.04654, nw = 1651 140902.0030.ec.fits: ap = 106, w1 = 3627.366, w2 = 3551.063, dw = -0.04624, nw = 1651 140902.0030.ec.fits: ap = 107, w1 = 3604.55, w2 = 3528.736, dw = -0.04595, nw = 1651 140902.0030.ec.fits: ap = 108, w1 = 3582.019, w2 = 3506.688, dw = -0.04566, nw = 1651 140902.0030.ec.fits: ap = 109, w1 = 3559.768, w2 = 3484.913, dw = -0.04537, nw = 1651 140902.0030.ec.fits: ap = 110, w1 = 3537.791, w2 = 3463.407, dw = -0.04508, nw = 1651 140902.0030.ec.fits: ap = 111, w1 = 3516.083, w2 = 3442.165, dw = -0.0448, nw = 1651 140902.0030.ec.fits: ap = 112, w1 = 3494.64, w2 = 3421.182, dw = -0.04452, nw = 1651 140902.0030.ec.fits: ap = 113, w1 = 3473.456, w2 = 3400.453, dw = -0.04424, nw = 1651 140902.0030.ec.fits: ap = 114, w1 = 3452.526, w2 = 3379.973, dw = -0.04397, nw = 1651 140902.0030.ec.fits: ap = 115, w1 = 3431.847, w2 = 3359.739, dw = -0.0437, nw = 1651 140902.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.088993736' 140902.0031.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.91100627' 140902.0031.ec.fits: ap = 1, w1 = 10812.26, w2 = 10584.08, dw = -0.13829, nw = 1651 140902.0031.ec.fits: ap = 2, w1 = 10612.05, w2 = 10388.1, dw = -0.13573, nw = 1651 140902.0031.ec.fits: ap = 3, w1 = 10419.12, w2 = 10199.24, dw = -0.13326, nw = 1651 140902.0031.ec.fits: ap = 4, w1 = 10233.09, w2 = 10017.13, dw = -0.13088, nw = 1651 140902.0031.ec.fits: ap = 5, w1 = 10053.57, w2 = 9841.41, dw = -0.12858, nw = 1651 140902.0031.ec.fits: ap = 6, w1 = 9880.254, w2 = 9671.747, dw = -0.12637, nw = 1651 140902.0031.ec.fits: ap = 7, w1 = 9712.807, w2 = 9507.836, dw = -0.12423, nw = 1651 140902.0031.ec.fits: ap = 8, w1 = 9550.942, w2 = 9349.388, dw = -0.12215, nw = 1651 140902.0031.ec.fits: ap = 9, w1 = 9394.384, w2 = 9196.135, dw = -0.12015, nw = 1651 140902.0031.ec.fits: ap = 10, w1 = 9242.875, w2 = 9047.825, dw = -0.11821, nw = 1651 140902.0031.ec.fits: ap = 11, w1 = 9096.176, w2 = 8904.223, dw = -0.11633, nw = 1651 140902.0031.ec.fits: ap = 12, w1 = 8954.061, w2 = 8765.109, dw = -0.11452, nw = 1651 140902.0031.ec.fits: ap = 13, w1 = 8816.318, w2 = 8630.275, dw = -0.11275, nw = 1651 140902.0031.ec.fits: ap = 14, w1 = 8682.749, w2 = 8499.527, dw = -0.11104, nw = 1651 140902.0031.ec.fits: ap = 15, w1 = 8553.167, w2 = 8372.681, dw = -0.10939, nw = 1651 140902.0031.ec.fits: ap = 16, w1 = 8427.397, w2 = 8249.566, dw = -0.10778, nw = 1651 140902.0031.ec.fits: ap = 17, w1 = 8305.271, w2 = 8130.02, dw = -0.10621, nw = 1651 140902.0031.ec.fits: ap = 18, w1 = 8186.635, w2 = 8013.889, dw = -0.10469, nw = 1651 140902.0031.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.03, dw = -0.10322, nw = 1651 140902.0031.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.305, dw = -0.10178, nw = 1651 140902.0031.ec.fits: ap = 21, w1 = 7850.227, w2 = 7684.587, dw = -0.10039, nw = 1651 140902.0031.ec.fits: ap = 22, w1 = 7744.153, w2 = 7580.753, dw = -0.09903, nw = 1651 140902.0031.ec.fits: ap = 23, w1 = 7640.907, w2 = 7479.687, dw = -0.09771, nw = 1651 140902.0031.ec.fits: ap = 24, w1 = 7540.378, w2 = 7381.282, dw = -0.09642, nw = 1651 140902.0031.ec.fits: ap = 25, w1 = 7442.46, w2 = 7285.432, dw = -0.09517, nw = 1651 140902.0031.ec.fits: ap = 26, w1 = 7347.053, w2 = 7192.04, dw = -0.09395, nw = 1651 140902.0031.ec.fits: ap = 27, w1 = 7254.061, w2 = 7101.012, dw = -0.09276, nw = 1651 140902.0031.ec.fits: ap = 28, w1 = 7163.394, w2 = 7012.26, dw = -0.0916, nw = 1651 140902.0031.ec.fits: ap = 29, w1 = 7074.966, w2 = 6925.7, dw = -0.09046, nw = 1651 140902.0031.ec.fits: ap = 30, w1 = 6988.694, w2 = 6841.251, dw = -0.08936, nw = 1651 140902.0031.ec.fits: ap = 31, w1 = 6904.502, w2 = 6758.836, dw = -0.08828, nw = 1651 140902.0031.ec.fits: ap = 32, w1 = 6822.314, w2 = 6678.385, dw = -0.08723, nw = 1651 140902.0031.ec.fits: ap = 33, w1 = 6742.06, w2 = 6599.826, dw = -0.0862, nw = 1651 140902.0031.ec.fits: ap = 34, w1 = 6663.672, w2 = 6523.094, dw = -0.0852, nw = 1651 140902.0031.ec.fits: ap = 35, w1 = 6587.087, w2 = 6448.126, dw = -0.08422, nw = 1651 140902.0031.ec.fits: ap = 36, w1 = 6512.242, w2 = 6374.862, dw = -0.08326, nw = 1651 140902.0031.ec.fits: ap = 37, w1 = 6439.079, w2 = 6303.245, dw = -0.08232, nw = 1651 140902.0031.ec.fits: ap = 38, w1 = 6367.542, w2 = 6233.219, dw = -0.08141, nw = 1651 140902.0031.ec.fits: ap = 39, w1 = 6297.577, w2 = 6164.732, dw = -0.08051, nw = 1651 140902.0031.ec.fits: ap = 40, w1 = 6229.134, w2 = 6097.734, dw = -0.07964, nw = 1651 140902.0031.ec.fits: ap = 41, w1 = 6162.162, w2 = 6032.177, dw = -0.07878, nw = 1651 140902.0031.ec.fits: ap = 42, w1 = 6096.616, w2 = 5968.015, dw = -0.07794, nw = 1651 140902.0031.ec.fits: ap = 43, w1 = 6032.449, w2 = 5905.204, dw = -0.07712, nw = 1651 140902.0031.ec.fits: ap = 44, w1 = 5969.619, w2 = 5843.702, dw = -0.07631, nw = 1651 140902.0031.ec.fits: ap = 45, w1 = 5908.085, w2 = 5783.467, dw = -0.07553, nw = 1651 140902.0031.ec.fits: ap = 46, w1 = 5847.807, w2 = 5724.463, dw = -0.07475, nw = 1651 140902.0031.ec.fits: ap = 47, w1 = 5788.747, w2 = 5666.65, dw = -0.074, nw = 1651 140902.0031.ec.fits: ap = 48, w1 = 5730.868, w2 = 5609.993, dw = -0.07326, nw = 1651 140902.0031.ec.fits: ap = 49, w1 = 5674.135, w2 = 5554.459, dw = -0.07253, nw = 1651 140902.0031.ec.fits: ap = 50, w1 = 5618.514, w2 = 5500.013, dw = -0.07182, nw = 1651 140902.0031.ec.fits: ap = 51, w1 = 5563.974, w2 = 5446.625, dw = -0.07112, nw = 1651 140902.0031.ec.fits: ap = 52, w1 = 5510.483, w2 = 5394.264, dw = -0.07044, nw = 1651 140902.0031.ec.fits: ap = 53, w1 = 5458.01, w2 = 5342.9, dw = -0.06976, nw = 1651 140902.0031.ec.fits: ap = 54, w1 = 5406.528, w2 = 5292.505, dw = -0.0691, nw = 1651 140902.0031.ec.fits: ap = 55, w1 = 5356.008, w2 = 5243.053, dw = -0.06846, nw = 1651 140902.0031.ec.fits: ap = 56, w1 = 5306.423, w2 = 5194.516, dw = -0.06782, nw = 1651 140902.0031.ec.fits: ap = 57, w1 = 5257.749, w2 = 5146.87, dw = -0.0672, nw = 1651 140902.0031.ec.fits: ap = 58, w1 = 5209.959, w2 = 5100.091, dw = -0.06659, nw = 1651 140902.0031.ec.fits: ap = 59, w1 = 5163.031, w2 = 5054.154, dw = -0.06599, nw = 1651 140902.0031.ec.fits: ap = 60, w1 = 5116.94, w2 = 5009.038, dw = -0.0654, nw = 1651 140902.0031.ec.fits: ap = 61, w1 = 5071.666, w2 = 4964.72, dw = -0.06482, nw = 1651 140902.0031.ec.fits: ap = 62, w1 = 5027.185, w2 = 4921.18, dw = -0.06425, nw = 1651 140902.0031.ec.fits: ap = 63, w1 = 4983.479, w2 = 4878.397, dw = -0.06369, nw = 1651 140902.0031.ec.fits: ap = 64, w1 = 4940.525, w2 = 4836.352, dw = -0.06314, nw = 1651 140902.0031.ec.fits: ap = 65, w1 = 4898.306, w2 = 4795.026, dw = -0.06259, nw = 1651 140902.0031.ec.fits: ap = 66, w1 = 4856.803, w2 = 4754.4, dw = -0.06206, nw = 1651 140902.0031.ec.fits: ap = 67, w1 = 4815.997, w2 = 4714.457, dw = -0.06154, nw = 1651 140902.0031.ec.fits: ap = 68, w1 = 4775.871, w2 = 4675.18, dw = -0.06103, nw = 1651 140902.0031.ec.fits: ap = 69, w1 = 4736.408, w2 = 4636.552, dw = -0.06052, nw = 1651 140902.0031.ec.fits: ap = 70, w1 = 4697.593, w2 = 4598.557, dw = -0.06002, nw = 1651 140902.0031.ec.fits: ap = 71, w1 = 4659.408, w2 = 4561.181, dw = -0.05953, nw = 1651 140902.0031.ec.fits: ap = 72, w1 = 4621.839, w2 = 4524.407, dw = -0.05905, nw = 1651 140902.0031.ec.fits: ap = 73, w1 = 4584.871, w2 = 4488.221, dw = -0.05858, nw = 1651 140902.0031.ec.fits: ap = 74, w1 = 4548.49, w2 = 4452.61, dw = -0.05811, nw = 1651 140902.0031.ec.fits: ap = 75, w1 = 4512.681, w2 = 4417.56, dw = -0.05765, nw = 1651 140902.0031.ec.fits: ap = 76, w1 = 4477.432, w2 = 4383.058, dw = -0.0572, nw = 1651 140902.0031.ec.fits: ap = 77, w1 = 4442.729, w2 = 4349.09, dw = -0.05675, nw = 1651 140902.0031.ec.fits: ap = 78, w1 = 4408.56, w2 = 4315.646, dw = -0.05631, nw = 1651 140902.0031.ec.fits: ap = 79, w1 = 4374.913, w2 = 4282.711, dw = -0.05588, nw = 1651 140902.0031.ec.fits: ap = 80, w1 = 4341.775, w2 = 4250.276, dw = -0.05545, nw = 1651 140902.0031.ec.fits: ap = 81, w1 = 4309.135, w2 = 4218.329, dw = -0.05503, nw = 1651 140902.0031.ec.fits: ap = 82, w1 = 4276.982, w2 = 4186.858, dw = -0.05462, nw = 1651 140902.0031.ec.fits: ap = 83, w1 = 4245.306, w2 = 4155.854, dw = -0.05421, nw = 1651 140902.0031.ec.fits: ap = 84, w1 = 4214.095, w2 = 4125.305, dw = -0.05381, nw = 1651 140902.0031.ec.fits: ap = 85, w1 = 4183.339, w2 = 4095.203, dw = -0.05342, nw = 1651 140902.0031.ec.fits: ap = 86, w1 = 4153.029, w2 = 4065.536, dw = -0.05303, nw = 1651 140902.0031.ec.fits: ap = 87, w1 = 4123.155, w2 = 4036.297, dw = -0.05264, nw = 1651 140902.0031.ec.fits: ap = 88, w1 = 4093.707, w2 = 4007.475, dw = -0.05226, nw = 1651 140902.0031.ec.fits: ap = 89, w1 = 4064.676, w2 = 3979.062, dw = -0.05189, nw = 1651 140902.0031.ec.fits: ap = 90, w1 = 4036.054, w2 = 3951.049, dw = -0.05152, nw = 1651 140902.0031.ec.fits: ap = 91, w1 = 4007.832, w2 = 3923.428, dw = -0.05115, nw = 1651 140902.0031.ec.fits: ap = 92, w1 = 3980.002, w2 = 3896.191, dw = -0.05079, nw = 1651 140902.0031.ec.fits: ap = 93, w1 = 3952.555, w2 = 3869.329, dw = -0.05044, nw = 1651 140902.0031.ec.fits: ap = 94, w1 = 3925.484, w2 = 3842.835, dw = -0.05009, nw = 1651 140902.0031.ec.fits: ap = 95, w1 = 3898.781, w2 = 3816.701, dw = -0.04975, nw = 1651 140902.0031.ec.fits: ap = 96, w1 = 3872.438, w2 = 3790.921, dw = -0.0494, nw = 1651 140902.0031.ec.fits: ap = 97, w1 = 3846.449, w2 = 3765.486, dw = -0.04907, nw = 1651 140902.0031.ec.fits: ap = 98, w1 = 3820.805, w2 = 3740.391, dw = -0.04874, nw = 1651 140902.0031.ec.fits: ap = 99, w1 = 3795.501, w2 = 3715.628, dw = -0.04841, nw = 1651 140902.0031.ec.fits: ap = 100, w1 = 3770.529, w2 = 3691.19, dw = -0.04808, nw = 1651 140902.0031.ec.fits: ap = 101, w1 = 3745.883, w2 = 3667.072, dw = -0.04776, nw = 1651 140902.0031.ec.fits: ap = 102, w1 = 3721.557, w2 = 3643.267, dw = -0.04745, nw = 1651 140902.0031.ec.fits: ap = 103, w1 = 3697.544, w2 = 3619.769, dw = -0.04714, nw = 1651 140902.0031.ec.fits: ap = 104, w1 = 3673.839, w2 = 3596.572, dw = -0.04683, nw = 1651 140902.0031.ec.fits: ap = 105, w1 = 3650.435, w2 = 3573.671, dw = -0.04652, nw = 1651 140902.0031.ec.fits: ap = 106, w1 = 3627.326, w2 = 3551.059, dw = -0.04622, nw = 1651 140902.0031.ec.fits: ap = 107, w1 = 3604.508, w2 = 3528.732, dw = -0.04592, nw = 1651 140902.0031.ec.fits: ap = 108, w1 = 3581.974, w2 = 3506.683, dw = -0.04563, nw = 1651 140902.0031.ec.fits: ap = 109, w1 = 3559.72, w2 = 3484.909, dw = -0.04534, nw = 1651 140902.0031.ec.fits: ap = 110, w1 = 3537.74, w2 = 3463.403, dw = -0.04505, nw = 1651 140902.0031.ec.fits: ap = 111, w1 = 3516.029, w2 = 3442.16, dw = -0.04477, nw = 1651 140902.0031.ec.fits: ap = 112, w1 = 3494.582, w2 = 3421.177, dw = -0.04449, nw = 1651 140902.0031.ec.fits: ap = 113, w1 = 3473.394, w2 = 3400.447, dw = -0.04421, nw = 1651 140902.0031.ec.fits: ap = 114, w1 = 3452.461, w2 = 3379.967, dw = -0.04394, nw = 1651 140902.0031.ec.fits: ap = 115, w1 = 3431.777, w2 = 3359.733, dw = -0.04366, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10812.24, w2 = 10584.05, dw = -0.13829, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10612.03, w2 = 10388.07, dw = -0.13573, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10419.1, w2 = 10199.22, dw = -0.13326, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10233.07, w2 = 10017.12, dw = -0.13088, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.56, w2 = 9841.401, dw = -0.12858, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9880.235, w2 = 9671.742, dw = -0.12636, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.79, w2 = 9507.834, dw = -0.12422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.925, w2 = 9349.388, dw = -0.12214, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9394.367, w2 = 9196.136, dw = -0.12014, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.859, w2 = 9047.827, dw = -0.1182, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9096.16, w2 = 8904.227, dw = -0.11632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8954.046, w2 = 8765.113, dw = -0.1145, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8816.303, w2 = 8630.279, dw = -0.11274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.735, w2 = 8499.531, dw = -0.11103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8553.153, w2 = 8372.685, dw = -0.10937, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8427.383, w2 = 8249.57, dw = -0.10777, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8305.258, w2 = 8130.023, dw = -0.1062, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.621, w2 = 8013.892, dw = -0.10468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8071.327, w2 = 7901.031, dw = -0.10321, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7959.235, w2 = 7791.306, dw = -0.10178, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7850.214, w2 = 7684.587, dw = -0.10038, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7744.139, w2 = 7580.752, dw = -0.09902, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.893, w2 = 7479.686, dw = -0.0977, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7540.364, w2 = 7381.28, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.446, w2 = 7285.43, dw = -0.09516, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7347.039, w2 = 7192.038, dw = -0.09394, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7254.047, w2 = 7101.01, dw = -0.09275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.38, w2 = 7012.258, dw = -0.09159, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.952, w2 = 6925.697, dw = -0.09046, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.68, w2 = 6841.248, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.487, w2 = 6758.834, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6822.299, w2 = 6678.382, dw = -0.08722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6742.045, w2 = 6599.824, dw = -0.08619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.657, w2 = 6523.092, dw = -0.08519, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6587.071, w2 = 6448.125, dw = -0.08421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6512.226, w2 = 6374.862, dw = -0.08325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6439.063, w2 = 6303.245, dw = -0.08231, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.526, w2 = 6233.22, dw = -0.0814, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.561, w2 = 6164.734, dw = -0.0805, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6229.117, w2 = 6097.737, dw = -0.07962, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6162.146, w2 = 6032.181, dw = -0.07877, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.599, w2 = 5968.02, dw = -0.07793, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.432, w2 = 5905.21, dw = -0.0771, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.602, w2 = 5843.709, dw = -0.0763, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5908.068, w2 = 5783.475, dw = -0.07551, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.79, w2 = 5724.472, dw = -0.07474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.729, w2 = 5666.66, dw = -0.07398, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.85, w2 = 5610.005, dw = -0.07324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5674.117, w2 = 5554.472, dw = -0.07251, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.497, w2 = 5500.027, dw = -0.0718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.957, w2 = 5446.64, dw = -0.0711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.466, w2 = 5394.28, dw = -0.07042, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.993, w2 = 5342.917, dw = -0.06974, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.511, w2 = 5292.523, dw = -0.06908, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.992, w2 = 5243.071, dw = -0.06844, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.407, w2 = 5194.535, dw = -0.0678, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.733, w2 = 5146.889, dw = -0.06718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.944, w2 = 5100.11, dw = -0.06657, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5163.016, w2 = 5054.173, dw = -0.06597, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.927, w2 = 5009.057, dw = -0.06538, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.653, w2 = 4964.739, dw = -0.0648, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5027.173, w2 = 4921.198, dw = -0.06423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.467, w2 = 4878.414, dw = -0.06367, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.515, w2 = 4836.368, dw = -0.06312, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.297, w2 = 4795.04, dw = -0.06258, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.795, w2 = 4754.413, dw = -0.06205, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.99, w2 = 4714.468, dw = -0.06153, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.866, w2 = 4675.188, dw = -0.06102, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.405, w2 = 4636.557, dw = -0.06051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.59, w2 = 4598.559, dw = -0.06002, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.407, w2 = 4561.179, dw = -0.05953, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.84, w2 = 4524.401, dw = -0.05905, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.874, w2 = 4488.211, dw = -0.05858, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.495, w2 = 4452.595, dw = -0.05812, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.688, w2 = 4417.54, dw = -0.05767, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.442, w2 = 4383.031, dw = -0.05722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.741, w2 = 4349.057, dw = -0.05678, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.575, w2 = 4315.605, dw = -0.05635, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.93, w2 = 4282.663, dw = -0.05592, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.795, w2 = 4250.219, dw = -0.0555, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4309.158, w2 = 4218.263, dw = -0.05509, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4277.009, w2 = 4186.782, dw = -0.05468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.335, w2 = 4155.768, dw = -0.05428, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4214.128, w2 = 4125.208, dw = -0.05389, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.376, w2 = 4095.094, dw = -0.0535, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4153.069, w2 = 4065.415, dw = -0.05312, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.199, w2 = 4036.163, dw = -0.05275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.755, w2 = 4007.327, dw = -0.05238, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.729, w2 = 3978.899, dw = -0.05202, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4036.111, w2 = 3950.87, dw = -0.05166, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.894, w2 = 3923.233, dw = -0.05131, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3980.069, w2 = 3895.978, dw = -0.05096, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.627, w2 = 3869.097, dw = -0.05062, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.561, w2 = 3842.584, dw = -0.05029, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.863, w2 = 3816.43, dw = -0.04996, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.526, w2 = 3790.629, dw = -0.04963, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.542, w2 = 3765.172, dw = -0.04932, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.905, w2 = 3740.053, dw = -0.049, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.607, w2 = 3715.266, dw = -0.04869, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.641, w2 = 3690.803, dw = -0.04839, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3746.002, w2 = 3666.658, dw = -0.04809, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.683, w2 = 3642.826, dw = -0.04779, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.677, w2 = 3619.299, dw = -0.0475, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.979, w2 = 3596.072, dw = -0.04722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.582, w2 = 3573.14, dw = -0.04693, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.481, w2 = 3550.496, dw = -0.04666, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.671, w2 = 3528.135, dw = -0.04639, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.146, w2 = 3506.051, dw = -0.04612, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.9, w2 = 3484.24, dw = -0.04585, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.928, w2 = 3462.697, dw = -0.04559, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.226, w2 = 3441.416, dw = -0.04534, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.788, w2 = 3420.392, dw = -0.04509, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.61, w2 = 3399.621, dw = -0.04484, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.687, w2 = 3379.098, dw = -0.0446, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3432.014, w2 = 3358.819, dw = -0.04436, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10812.24, w2 = 10584.11, dw = -0.13826, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10612.04, w2 = 10388.12, dw = -0.1357, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10419.11, w2 = 10199.26, dw = -0.13324, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10233.07, w2 = 10017.15, dw = -0.13086, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.56, w2 = 9841.423, dw = -0.12857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9880.236, w2 = 9671.758, dw = -0.12635, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.789, w2 = 9507.844, dw = -0.12421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.924, w2 = 9349.394, dw = -0.12214, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9394.365, w2 = 9196.14, dw = -0.12014, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.857, w2 = 9047.829, dw = -0.1182, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9096.158, w2 = 8904.226, dw = -0.11632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8954.044, w2 = 8765.111, dw = -0.1145, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8816.302, w2 = 8630.276, dw = -0.11274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.734, w2 = 8499.527, dw = -0.11103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8553.152, w2 = 8372.681, dw = -0.10938, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8427.382, w2 = 8249.566, dw = -0.10777, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8305.258, w2 = 8130.02, dw = -0.1062, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.622, w2 = 8013.889, dw = -0.10469, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8071.328, w2 = 7901.03, dw = -0.10321, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7959.237, w2 = 7791.305, dw = -0.10178, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7850.216, w2 = 7684.587, dw = -0.10038, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7744.142, w2 = 7580.753, dw = -0.09902, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.897, w2 = 7479.688, dw = -0.0977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7540.369, w2 = 7381.283, dw = -0.09642, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.451, w2 = 7285.433, dw = -0.09516, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7347.044, w2 = 7192.042, dw = -0.09394, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7254.053, w2 = 7101.014, dw = -0.09275, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.386, w2 = 7012.263, dw = -0.09159, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.959, w2 = 6925.703, dw = -0.09046, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.687, w2 = 6841.254, dw = -0.08935, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.495, w2 = 6758.84, dw = -0.08828, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6822.307, w2 = 6678.388, dw = -0.08722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6742.053, w2 = 6599.83, dw = -0.0862, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.666, w2 = 6523.098, dw = -0.08519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6587.08, w2 = 6448.13, dw = -0.08421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6512.235, w2 = 6374.867, dw = -0.08325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6439.072, w2 = 6303.249, dw = -0.08232, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.535, w2 = 6233.223, dw = -0.0814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.57, w2 = 6164.737, dw = -0.08051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6229.126, w2 = 6097.739, dw = -0.07963, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6162.155, w2 = 6032.182, dw = -0.07877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.608, w2 = 5968.02, dw = -0.07793, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.441, w2 = 5905.208, dw = -0.07711, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.611, w2 = 5843.706, dw = -0.07631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5908.076, w2 = 5783.471, dw = -0.07552, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.798, w2 = 5724.466, dw = -0.07475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.737, w2 = 5666.653, dw = -0.07399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.857, w2 = 5609.996, dw = -0.07325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5674.124, w2 = 5554.461, dw = -0.07252, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.503, w2 = 5500.016, dw = -0.07181, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.962, w2 = 5446.627, dw = -0.07111, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.47, w2 = 5394.265, dw = -0.07043, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.997, w2 = 5342.901, dw = -0.06976, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.514, w2 = 5292.506, dw = -0.0691, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.994, w2 = 5243.053, dw = -0.06845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.409, w2 = 5194.516, dw = -0.06781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.734, w2 = 5146.869, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.944, w2 = 5100.089, dw = -0.06658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5163.016, w2 = 5054.152, dw = -0.06598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.925, w2 = 5009.035, dw = -0.06539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.65, w2 = 4964.717, dw = -0.06481, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5027.17, w2 = 4921.177, dw = -0.06424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.463, w2 = 4878.394, dw = -0.06368, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.51, w2 = 4836.348, dw = -0.06313, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.291, w2 = 4795.022, dw = -0.06259, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.788, w2 = 4754.396, dw = -0.06206, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.982, w2 = 4714.453, dw = -0.06153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.857, w2 = 4675.175, dw = -0.06102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.395, w2 = 4636.547, dw = -0.06051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.58, w2 = 4598.553, dw = -0.06002, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.396, w2 = 4561.176, dw = -0.05953, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.828, w2 = 4524.403, dw = -0.05905, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.861, w2 = 4488.217, dw = -0.05857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.481, w2 = 4452.607, dw = -0.05811, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.674, w2 = 4417.557, dw = -0.05765, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.427, w2 = 4383.055, dw = -0.05719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.726, w2 = 4349.088, dw = -0.05675, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.559, w2 = 4315.644, dw = -0.05631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.913, w2 = 4282.711, dw = -0.05588, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.778, w2 = 4250.276, dw = -0.05546, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4309.141, w2 = 4218.33, dw = -0.05504, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.991, w2 = 4186.861, dw = -0.05462, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.317, w2 = 4155.858, dw = -0.05422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4214.109, w2 = 4125.311, dw = -0.05382, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.357, w2 = 4095.21, dw = -0.05342, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4153.051, w2 = 4065.546, dw = -0.05303, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4123.181, w2 = 4036.308, dw = -0.05265, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.737, w2 = 4007.489, dw = -0.05227, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.711, w2 = 3979.078, dw = -0.0519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4036.094, w2 = 3951.068, dw = -0.05153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.877, w2 = 3923.449, dw = -0.05117, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3980.052, w2 = 3896.215, dw = -0.05081, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.356, dw = -0.05046, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.546, w2 = 3842.866, dw = -0.05011, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.849, w2 = 3816.736, dw = -0.04977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.513, w2 = 3790.959, dw = -0.04943, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.531, w2 = 3765.529, dw = -0.04909, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.895, w2 = 3740.438, dw = -0.04876, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.598, w2 = 3715.679, dw = -0.04844, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.634, w2 = 3691.246, dw = -0.04811, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.997, w2 = 3667.133, dw = -0.0478, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.68, w2 = 3643.334, dw = -0.04748, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.676, w2 = 3619.841, dw = -0.04717, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.98, w2 = 3596.651, dw = -0.04687, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.586, w2 = 3573.755, dw = -0.04656, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.488, w2 = 3551.15, dw = -0.04627, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.681, w2 = 3528.83, dw = -0.04597, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3582.158, w2 = 3506.788, dw = -0.04568, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.916, w2 = 3485.021, dw = -0.04539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.948, w2 = 3463.523, dw = -0.04511, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.249, w2 = 3442.288, dw = -0.04482, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.815, w2 = 3421.313, dw = -0.04455, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.641, w2 = 3400.593, dw = -0.04427, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.722, w2 = 3380.122, dw = -0.044, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3432.053, w2 = 3359.897, dw = -0.04373, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10812.24, w2 = 10584., dw = -0.13833, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10612.03, w2 = 10388.03, dw = -0.13576, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10419.11, w2 = 10199.18, dw = -0.13329, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10233.07, w2 = 10017.08, dw = -0.1309, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10053.56, w2 = 9841.369, dw = -0.1286, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9880.241, w2 = 9671.714, dw = -0.12638, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.796, w2 = 9507.81, dw = -0.12423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.932, w2 = 9349.368, dw = -0.12216, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9394.374, w2 = 9196.121, dw = -0.12015, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.866, w2 = 9047.816, dw = -0.11821, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9096.168, w2 = 8904.218, dw = -0.11633, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8954.053, w2 = 8765.107, dw = -0.11451, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8816.311, w2 = 8630.276, dw = -0.11275, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.743, w2 = 8499.531, dw = -0.11104, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8553.162, w2 = 8372.687, dw = -0.10938, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8427.391, w2 = 8249.574, dw = -0.10777, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8305.267, w2 = 8130.029, dw = -0.1062, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.631, w2 = 8013.9, dw = -0.10469, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8071.337, w2 = 7901.041, dw = -0.10321, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7959.245, w2 = 7791.317, dw = -0.10177, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7850.224, w2 = 7684.599, dw = -0.10038, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7744.15, w2 = 7580.765, dw = -0.09902, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.904, w2 = 7479.699, dw = -0.0977, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7540.375, w2 = 7381.294, dw = -0.09641, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7442.457, w2 = 7285.444, dw = -0.09516, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7347.05, w2 = 7192.051, dw = -0.09394, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7254.059, w2 = 7101.023, dw = -0.09275, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7163.392, w2 = 7012.271, dw = -0.09159, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.963, w2 = 6925.71, dw = -0.09046, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.692, w2 = 6841.26, dw = -0.08935, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.499, w2 = 6758.845, dw = -0.08828, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6822.311, w2 = 6678.392, dw = -0.08722, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6742.057, w2 = 6599.833, dw = -0.0862, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.67, w2 = 6523.1, dw = -0.08519, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6587.084, w2 = 6448.132, dw = -0.08421, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6512.239, w2 = 6374.867, dw = -0.08326, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6439.076, w2 = 6303.249, dw = -0.08232, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.539, w2 = 6233.222, dw = -0.0814, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.574, w2 = 6164.735, dw = -0.08051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6229.131, w2 = 6097.737, dw = -0.07963, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6162.159, w2 = 6032.179, dw = -0.07878, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.612, w2 = 5968.017, dw = -0.07794, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.445, w2 = 5905.205, dw = -0.07712, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.616, w2 = 5843.703, dw = -0.07631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5908.081, w2 = 5783.468, dw = -0.07552, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.803, w2 = 5724.463, dw = -0.07475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.743, w2 = 5666.65, dw = -0.074, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.863, w2 = 5609.993, dw = -0.07325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5674.13, w2 = 5554.459, dw = -0.07253, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.51, w2 = 5500.013, dw = -0.07182, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.969, w2 = 5446.625, dw = -0.07112, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.478, w2 = 5394.264, dw = -0.07043, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5458.006, w2 = 5342.9, dw = -0.06976, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.523, w2 = 5292.506, dw = -0.0691, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5356.003, w2 = 5243.053, dw = -0.06845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.419, w2 = 5194.517, dw = -0.06782, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.745, w2 = 5146.871, dw = -0.0672, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.955, w2 = 5100.091, dw = -0.06658, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5163.027, w2 = 5054.155, dw = -0.06598, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.937, w2 = 5009.039, dw = -0.06539, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.663, w2 = 4964.722, dw = -0.06481, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5027.183, w2 = 4921.182, dw = -0.06424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.476, w2 = 4878.399, dw = -0.06368, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.524, w2 = 4836.355, dw = -0.06313, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4898.305, w2 = 4795.029, dw = -0.06259, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.803, w2 = 4754.403, dw = -0.06206, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.997, w2 = 4714.46, dw = -0.06154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.872, w2 = 4675.184, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.41, w2 = 4636.556, dw = -0.06052, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.596, w2 = 4598.561, dw = -0.06002, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.412, w2 = 4561.185, dw = -0.05953, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.844, w2 = 4524.411, dw = -0.05905, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.877, w2 = 4488.226, dw = -0.05858, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.497, w2 = 4452.615, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.69, w2 = 4417.564, dw = -0.05765, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.443, w2 = 4383.062, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.741, w2 = 4349.094, dw = -0.05676, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.574, w2 = 4315.649, dw = -0.05632, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.928, w2 = 4282.714, dw = -0.05589, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.792, w2 = 4250.278, dw = -0.05546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4309.155, w2 = 4218.33, dw = -0.05505, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4277.004, w2 = 4186.858, dw = -0.05463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.33, w2 = 4155.853, dw = -0.05423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4214.121, w2 = 4125.303, dw = -0.05383, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.368, w2 = 4095.199, dw = -0.05344, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4153.06, w2 = 4065.531, dw = -0.05305, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4123.189, w2 = 4036.29, dw = -0.05267, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.744, w2 = 4007.466, dw = -0.05229, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.716, w2 = 3979.051, dw = -0.05192, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4036.098, w2 = 3951.036, dw = -0.05155, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.879, w2 = 3923.413, dw = -0.05119, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3980.052, w2 = 3896.172, dw = -0.05084, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.609, w2 = 3869.308, dw = -0.05049, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.81, dw = -0.05014, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.842, w2 = 3816.673, dw = -0.0498, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.504, w2 = 3790.889, dw = -0.04946, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.518, w2 = 3765.451, dw = -0.04913, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.879, w2 = 3740.351, dw = -0.04881, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.58, w2 = 3715.583, dw = -0.04848, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.613, w2 = 3691.141, dw = -0.04816, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.972, w2 = 3667.018, dw = -0.04785, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.651, w2 = 3643.207, dw = -0.04754, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.643, w2 = 3619.703, dw = -0.04724, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.943, w2 = 3596.5, dw = -0.04693, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.545, w2 = 3573.592, dw = -0.04664, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.442, w2 = 3550.974, dw = -0.04634, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.63, w2 = 3528.639, dw = -0.04605, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3582.103, w2 = 3506.583, dw = -0.04577, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.855, w2 = 3484.8, dw = -0.04549, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.881, w2 = 3463.286, dw = -0.04521, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3516.177, w2 = 3442.035, dw = -0.04493, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.737, w2 = 3421.042, dw = -0.04466, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.557, w2 = 3400.303, dw = -0.0444, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.631, w2 = 3379.813, dw = -0.04413, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3431.955, w2 = 3359.568, dw = -0.04387, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10812.26, w2 = 10584.06, dw = -0.1383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10612.05, w2 = 10388.08, dw = -0.13574, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10419.12, w2 = 10199.23, dw = -0.13327, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10233.08, w2 = 10017.12, dw = -0.13088, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.57, w2 = 9841.403, dw = -0.12859, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9880.249, w2 = 9671.743, dw = -0.12637, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.801, w2 = 9507.833, dw = -0.12422, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.935, w2 = 9349.386, dw = -0.12215, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9394.376, w2 = 9196.134, dw = -0.12015, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.867, w2 = 9047.826, dw = -0.11821, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9096.168, w2 = 8904.225, dw = -0.11633, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8954.052, w2 = 8765.111, dw = -0.11451, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8816.31, w2 = 8630.278, dw = -0.11275, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.741, w2 = 8499.53, dw = -0.11104, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8553.159, w2 = 8372.685, dw = -0.10938, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8427.388, w2 = 8249.57, dw = -0.10777, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8305.263, w2 = 8130.024, dw = -0.10621, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.627, w2 = 8013.894, dw = -0.10469, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8071.332, w2 = 7901.034, dw = -0.10321, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7959.241, w2 = 7791.31, dw = -0.10178, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7850.22, w2 = 7684.591, dw = -0.10038, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7744.146, w2 = 7580.757, dw = -0.09902, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.9, w2 = 7479.691, dw = -0.0977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7540.371, w2 = 7381.286, dw = -0.09642, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.453, w2 = 7285.436, dw = -0.09516, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7347.047, w2 = 7192.044, dw = -0.09394, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7254.055, w2 = 7101.016, dw = -0.09275, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.388, w2 = 7012.264, dw = -0.09159, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.96, w2 = 6925.703, dw = -0.09046, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.689, w2 = 6841.254, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.497, w2 = 6758.839, dw = -0.08828, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6822.309, w2 = 6678.387, dw = -0.08723, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6742.055, w2 = 6599.828, dw = -0.0862, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.668, w2 = 6523.096, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6587.082, w2 = 6448.128, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6512.237, w2 = 6374.864, dw = -0.08326, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6439.075, w2 = 6303.247, dw = -0.08232, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.538, w2 = 6233.221, dw = -0.0814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.573, w2 = 6164.734, dw = -0.08051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6229.13, w2 = 6097.736, dw = -0.07963, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6162.158, w2 = 6032.179, dw = -0.07878, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.612, w2 = 5968.017, dw = -0.07794, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.445, w2 = 5905.206, dw = -0.07711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.616, w2 = 5843.703, dw = -0.07631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5908.082, w2 = 5783.469, dw = -0.07552, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.803, w2 = 5724.464, dw = -0.07475, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.743, w2 = 5666.652, dw = -0.07399, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.864, w2 = 5609.995, dw = -0.07325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5674.131, w2 = 5554.461, dw = -0.07253, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.511, w2 = 5500.016, dw = -0.07182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.971, w2 = 5446.628, dw = -0.07112, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.479, w2 = 5394.267, dw = -0.07043, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5458.007, w2 = 5342.903, dw = -0.06976, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.525, w2 = 5292.509, dw = -0.0691, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5356.005, w2 = 5243.056, dw = -0.06845, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.421, w2 = 5194.52, dw = -0.06782, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.747, w2 = 5146.874, dw = -0.0672, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.095, dw = -0.06658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5163.03, w2 = 5054.159, dw = -0.06598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.94, w2 = 5009.043, dw = -0.06539, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.666, w2 = 4964.725, dw = -0.06481, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5027.186, w2 = 4921.186, dw = -0.06424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.48, w2 = 4878.403, dw = -0.06368, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.527, w2 = 4836.359, dw = -0.06313, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.309, w2 = 4795.033, dw = -0.06259, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.807, w2 = 4754.407, dw = -0.06206, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4816.002, w2 = 4714.465, dw = -0.06154, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.877, w2 = 4675.188, dw = -0.06102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.415, w2 = 4636.561, dw = -0.06052, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.601, w2 = 4598.566, dw = -0.06002, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.418, w2 = 4561.19, dw = -0.05953, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.85, w2 = 4524.417, dw = -0.05905, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.884, w2 = 4488.232, dw = -0.05858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.505, w2 = 4452.621, dw = -0.05811, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.698, w2 = 4417.571, dw = -0.05765, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.451, w2 = 4383.069, dw = -0.0572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.751, w2 = 4349.102, dw = -0.05676, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.584, w2 = 4315.658, dw = -0.05632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.939, w2 = 4282.724, dw = -0.05589, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.804, w2 = 4250.289, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4309.167, w2 = 4218.342, dw = -0.05505, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4277.017, w2 = 4186.871, dw = -0.05463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.344, w2 = 4155.867, dw = -0.05423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4214.136, w2 = 4125.319, dw = -0.05383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.384, w2 = 4095.216, dw = -0.05344, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4153.078, w2 = 4065.55, dw = -0.05305, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4123.208, w2 = 4036.311, dw = -0.05266, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.764, w2 = 4007.489, dw = -0.05229, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.738, w2 = 3979.076, dw = -0.05192, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4036.121, w2 = 3951.063, dw = -0.05155, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.904, w2 = 3923.442, dw = -0.05119, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3980.079, w2 = 3896.204, dw = -0.05083, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.637, w2 = 3869.342, dw = -0.05048, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.572, w2 = 3842.848, dw = -0.05014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.875, w2 = 3816.714, dw = -0.04979, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.538, w2 = 3790.933, dw = -0.04946, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.555, w2 = 3765.498, dw = -0.04913, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.918, w2 = 3740.402, dw = -0.0488, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.621, w2 = 3715.638, dw = -0.04847, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.656, w2 = 3691.2, dw = -0.04816, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3746.018, w2 = 3667.081, dw = -0.04784, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.7, w2 = 3643.275, dw = -0.04753, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.695, w2 = 3619.777, dw = -0.04722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.998, w2 = 3596.579, dw = -0.04692, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.603, w2 = 3573.676, dw = -0.04662, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.503, w2 = 3551.063, dw = -0.04633, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.695, w2 = 3528.735, dw = -0.04604, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3582.171, w2 = 3506.685, dw = -0.04575, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.927, w2 = 3484.908, dw = -0.04547, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.957, w2 = 3463.401, dw = -0.04519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.256, w2 = 3442.157, dw = -0.04491, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.821, w2 = 3421.171, dw = -0.04464, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.644, w2 = 3400.44, dw = -0.04437, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.723, w2 = 3379.958, dw = -0.0441, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3432.052, w2 = 3359.721, dw = -0.04384, nw = 1651 EchelleThAr.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 1.' zEchelleThAr.0026.ec.fits: ap = 1, w1 = 10812.34, w2 = 10584.12, dw = -0.13831, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 2, w1 = 10612.12, w2 = 10388.14, dw = -0.13575, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 3, w1 = 10419.18, w2 = 10199.28, dw = -0.13328, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 4, w1 = 10233.14, w2 = 10017.16, dw = -0.13089, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 5, w1 = 10053.62, w2 = 9841.439, dw = -0.1286, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 6, w1 = 9880.293, w2 = 9671.774, dw = -0.12638, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 7, w1 = 9712.842, w2 = 9507.86, dw = -0.12423, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 8, w1 = 9550.972, w2 = 9349.41, dw = -0.12216, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 9, w1 = 9394.409, w2 = 9196.155, dw = -0.12015, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 10, w1 = 9242.897, w2 = 9047.844, dw = -0.11821, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 11, w1 = 9096.195, w2 = 8904.241, dw = -0.11634, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 12, w1 = 8954.077, w2 = 8765.125, dw = -0.11452, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 13, w1 = 8816.333, w2 = 8630.29, dw = -0.11275, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 14, w1 = 8682.762, w2 = 8499.541, dw = -0.11104, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 15, w1 = 8553.179, w2 = 8372.695, dw = -0.10938, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 16, w1 = 8427.407, w2 = 8249.579, dw = -0.10777, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 17, w1 = 8305.281, w2 = 8130.033, dw = -0.10621, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 18, w1 = 8186.644, w2 = 8013.901, dw = -0.10469, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 19, w1 = 8071.349, w2 = 7901.041, dw = -0.10322, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 20, w1 = 7959.256, w2 = 7791.316, dw = -0.10178, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 21, w1 = 7850.235, w2 = 7684.598, dw = -0.10039, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 22, w1 = 7744.161, w2 = 7580.763, dw = -0.09903, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 23, w1 = 7640.915, w2 = 7479.698, dw = -0.09771, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 24, w1 = 7540.386, w2 = 7381.292, dw = -0.09642, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 25, w1 = 7442.468, w2 = 7285.442, dw = -0.09517, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 26, w1 = 7347.061, w2 = 7192.05, dw = -0.09395, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 27, w1 = 7254.069, w2 = 7101.022, dw = -0.09276, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 28, w1 = 7163.403, w2 = 7012.271, dw = -0.0916, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 29, w1 = 7074.975, w2 = 6925.71, dw = -0.09046, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 30, w1 = 6988.703, w2 = 6841.261, dw = -0.08936, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 31, w1 = 6904.511, w2 = 6758.847, dw = -0.08828, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 32, w1 = 6822.323, w2 = 6678.395, dw = -0.08723, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 33, w1 = 6742.069, w2 = 6599.836, dw = -0.0862, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 34, w1 = 6663.682, w2 = 6523.105, dw = -0.0852, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 35, w1 = 6587.096, w2 = 6448.137, dw = -0.08422, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 36, w1 = 6512.252, w2 = 6374.873, dw = -0.08326, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 37, w1 = 6439.089, w2 = 6303.256, dw = -0.08232, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 38, w1 = 6367.552, w2 = 6233.23, dw = -0.08141, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 39, w1 = 6297.587, w2 = 6164.743, dw = -0.08051, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 40, w1 = 6229.143, w2 = 6097.746, dw = -0.07963, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 41, w1 = 6162.171, w2 = 6032.189, dw = -0.07878, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 42, w1 = 6096.624, w2 = 5968.027, dw = -0.07794, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 43, w1 = 6032.457, w2 = 5905.216, dw = -0.07712, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 44, w1 = 5969.627, w2 = 5843.713, dw = -0.07631, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 45, w1 = 5908.093, w2 = 5783.479, dw = -0.07552, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 46, w1 = 5847.814, w2 = 5724.474, dw = -0.07475, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 47, w1 = 5788.753, w2 = 5666.662, dw = -0.07399, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 48, w1 = 5730.873, w2 = 5610.005, dw = -0.07325, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 49, w1 = 5674.14, w2 = 5554.471, dw = -0.07253, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 50, w1 = 5618.519, w2 = 5500.025, dw = -0.07181, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 51, w1 = 5563.978, w2 = 5446.637, dw = -0.07112, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 52, w1 = 5510.486, w2 = 5394.276, dw = -0.07043, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 53, w1 = 5458.013, w2 = 5342.912, dw = -0.06976, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 54, w1 = 5406.529, w2 = 5292.517, dw = -0.0691, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 55, w1 = 5356.009, w2 = 5243.065, dw = -0.06845, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 56, w1 = 5306.424, w2 = 5194.528, dw = -0.06782, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 57, w1 = 5257.748, w2 = 5146.882, dw = -0.06719, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.102, dw = -0.06658, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 59, w1 = 5163.029, w2 = 5054.165, dw = -0.06598, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 60, w1 = 5116.938, w2 = 5009.049, dw = -0.06539, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 61, w1 = 5071.663, w2 = 4964.731, dw = -0.06481, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 62, w1 = 5027.182, w2 = 4921.191, dw = -0.06424, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 63, w1 = 4983.475, w2 = 4878.408, dw = -0.06368, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 64, w1 = 4940.521, w2 = 4836.362, dw = -0.06313, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 65, w1 = 4898.302, w2 = 4795.036, dw = -0.06259, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 66, w1 = 4856.798, w2 = 4754.41, dw = -0.06205, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 67, w1 = 4815.992, w2 = 4714.467, dw = -0.06153, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 68, w1 = 4775.866, w2 = 4675.19, dw = -0.06102, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 69, w1 = 4736.404, w2 = 4636.562, dw = -0.06051, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 70, w1 = 4697.588, w2 = 4598.567, dw = -0.06001, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 71, w1 = 4659.404, w2 = 4561.19, dw = -0.05952, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 72, w1 = 4621.835, w2 = 4524.416, dw = -0.05904, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 73, w1 = 4584.868, w2 = 4488.231, dw = -0.05857, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 74, w1 = 4548.488, w2 = 4452.62, dw = -0.0581, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 75, w1 = 4512.68, w2 = 4417.569, dw = -0.05764, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 76, w1 = 4477.433, w2 = 4383.067, dw = -0.05719, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 77, w1 = 4442.731, w2 = 4349.099, dw = -0.05675, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 78, w1 = 4408.564, w2 = 4315.654, dw = -0.05631, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 79, w1 = 4374.918, w2 = 4282.72, dw = -0.05588, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 80, w1 = 4341.783, w2 = 4250.285, dw = -0.05545, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 81, w1 = 4309.145, w2 = 4218.337, dw = -0.05504, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 82, w1 = 4276.995, w2 = 4186.866, dw = -0.05462, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 83, w1 = 4245.321, w2 = 4155.862, dw = -0.05422, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 84, w1 = 4214.114, w2 = 4125.314, dw = -0.05382, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 85, w1 = 4183.361, w2 = 4095.211, dw = -0.05342, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 86, w1 = 4153.055, w2 = 4065.545, dw = -0.05304, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 87, w1 = 4123.185, w2 = 4036.305, dw = -0.05265, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 88, w1 = 4093.742, w2 = 4007.484, dw = -0.05228, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 89, w1 = 4064.716, w2 = 3979.071, dw = -0.05191, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 90, w1 = 4036.099, w2 = 3951.058, dw = -0.05154, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 91, w1 = 4007.883, w2 = 3923.438, dw = -0.05118, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 92, w1 = 3980.059, w2 = 3896.2, dw = -0.05082, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 93, w1 = 3952.618, w2 = 3869.339, dw = -0.05047, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 94, w1 = 3925.554, w2 = 3842.845, dw = -0.05013, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 95, w1 = 3898.858, w2 = 3816.712, dw = -0.04979, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 96, w1 = 3872.523, w2 = 3790.932, dw = -0.04945, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 97, w1 = 3846.541, w2 = 3765.498, dw = -0.04912, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 98, w1 = 3820.906, w2 = 3740.403, dw = -0.04879, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 99, w1 = 3795.611, w2 = 3715.64, dw = -0.04847, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 100, w1 = 3770.649, w2 = 3691.203, dw = -0.04815, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 101, w1 = 3746.013, w2 = 3667.086, dw = -0.04783, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 102, w1 = 3721.697, w2 = 3643.282, dw = -0.04752, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 103, w1 = 3697.695, w2 = 3619.784, dw = -0.04722, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 104, w1 = 3674.002, w2 = 3596.588, dw = -0.04692, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 105, w1 = 3650.61, w2 = 3573.688, dw = -0.04662, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 106, w1 = 3627.514, w2 = 3551.077, dw = -0.04633, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 107, w1 = 3604.709, w2 = 3528.751, dw = -0.04604, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 108, w1 = 3582.189, w2 = 3506.703, dw = -0.04575, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 109, w1 = 3559.949, w2 = 3484.93, dw = -0.04547, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 110, w1 = 3537.984, w2 = 3463.425, dw = -0.04519, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 111, w1 = 3516.289, w2 = 3442.184, dw = -0.04491, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 112, w1 = 3494.858, w2 = 3421.202, dw = -0.04464, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 113, w1 = 3473.687, w2 = 3400.474, dw = -0.04437, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 114, w1 = 3452.772, w2 = 3379.995, dw = -0.04411, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 115, w1 = 3432.107, w2 = 3359.762, dw = -0.04385, nw = 1651 EchelleThAr.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 1.' zEchelleThAr.0032.ec.fits: ap = 1, w1 = 10812.25, w2 = 10584.08, dw = -0.13829, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 2, w1 = 10612.04, w2 = 10388.09, dw = -0.13573, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 3, w1 = 10419.12, w2 = 10199.24, dw = -0.13326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 4, w1 = 10233.08, w2 = 10017.13, dw = -0.13088, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 5, w1 = 10053.57, w2 = 9841.407, dw = -0.12858, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 6, w1 = 9880.25, w2 = 9671.745, dw = -0.12637, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 7, w1 = 9712.804, w2 = 9507.833, dw = -0.12422, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 8, w1 = 9550.939, w2 = 9349.386, dw = -0.12215, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 9, w1 = 9394.381, w2 = 9196.133, dw = -0.12015, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 10, w1 = 9242.873, w2 = 9047.823, dw = -0.11821, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 11, w1 = 9096.174, w2 = 8904.221, dw = -0.11633, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 12, w1 = 8954.059, w2 = 8765.107, dw = -0.11452, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 13, w1 = 8816.317, w2 = 8630.273, dw = -0.11275, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 14, w1 = 8682.748, w2 = 8499.525, dw = -0.11104, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 15, w1 = 8553.166, w2 = 8372.68, dw = -0.10939, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 16, w1 = 8427.396, w2 = 8249.565, dw = -0.10778, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 17, w1 = 8305.27, w2 = 8130.019, dw = -0.10621, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.888, dw = -0.10469, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 19, w1 = 8071.34, w2 = 7901.029, dw = -0.10322, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.304, dw = -0.10178, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 21, w1 = 7850.227, w2 = 7684.586, dw = -0.10039, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 22, w1 = 7744.152, w2 = 7580.751, dw = -0.09903, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 23, w1 = 7640.906, w2 = 7479.686, dw = -0.09771, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 24, w1 = 7540.377, w2 = 7381.281, dw = -0.09642, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 25, w1 = 7442.459, w2 = 7285.431, dw = -0.09517, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 26, w1 = 7347.052, w2 = 7192.039, dw = -0.09395, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 27, w1 = 7254.06, w2 = 7101.011, dw = -0.09276, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 28, w1 = 7163.393, w2 = 7012.259, dw = -0.0916, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 29, w1 = 7074.965, w2 = 6925.699, dw = -0.09046, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 30, w1 = 6988.693, w2 = 6841.25, dw = -0.08936, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 31, w1 = 6904.501, w2 = 6758.836, dw = -0.08828, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 32, w1 = 6822.313, w2 = 6678.384, dw = -0.08723, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 33, w1 = 6742.059, w2 = 6599.825, dw = -0.0862, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 34, w1 = 6663.671, w2 = 6523.093, dw = -0.0852, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 35, w1 = 6587.086, w2 = 6448.125, dw = -0.08422, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 36, w1 = 6512.241, w2 = 6374.861, dw = -0.08326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 37, w1 = 6439.078, w2 = 6303.244, dw = -0.08232, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 38, w1 = 6367.541, w2 = 6233.218, dw = -0.08141, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 39, w1 = 6297.576, w2 = 6164.731, dw = -0.08051, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 40, w1 = 6229.133, w2 = 6097.733, dw = -0.07964, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 41, w1 = 6162.161, w2 = 6032.176, dw = -0.07878, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 42, w1 = 6096.615, w2 = 5968.014, dw = -0.07794, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 43, w1 = 6032.448, w2 = 5905.203, dw = -0.07712, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 44, w1 = 5969.619, w2 = 5843.701, dw = -0.07631, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 45, w1 = 5908.085, w2 = 5783.466, dw = -0.07553, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 46, w1 = 5847.806, w2 = 5724.461, dw = -0.07475, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 47, w1 = 5788.746, w2 = 5666.649, dw = -0.074, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 48, w1 = 5730.867, w2 = 5609.992, dw = -0.07326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 49, w1 = 5674.134, w2 = 5554.458, dw = -0.07253, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 50, w1 = 5618.514, w2 = 5500.012, dw = -0.07182, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 51, w1 = 5563.974, w2 = 5446.624, dw = -0.07112, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 52, w1 = 5510.482, w2 = 5394.263, dw = -0.07044, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 53, w1 = 5458.01, w2 = 5342.899, dw = -0.06976, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 54, w1 = 5406.528, w2 = 5292.504, dw = -0.0691, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 55, w1 = 5356.008, w2 = 5243.052, dw = -0.06846, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 56, w1 = 5306.423, w2 = 5194.515, dw = -0.06782, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 57, w1 = 5257.749, w2 = 5146.869, dw = -0.0672, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 58, w1 = 5209.959, w2 = 5100.089, dw = -0.06659, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 59, w1 = 5163.031, w2 = 5054.153, dw = -0.06599, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 60, w1 = 5116.941, w2 = 5009.037, dw = -0.0654, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 61, w1 = 5071.666, w2 = 4964.719, dw = -0.06482, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 62, w1 = 5027.186, w2 = 4921.179, dw = -0.06425, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 63, w1 = 4983.479, w2 = 4878.396, dw = -0.06369, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 64, w1 = 4940.526, w2 = 4836.351, dw = -0.06314, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 65, w1 = 4898.307, w2 = 4795.025, dw = -0.0626, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 66, w1 = 4856.803, w2 = 4754.399, dw = -0.06206, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 67, w1 = 4815.998, w2 = 4714.456, dw = -0.06154, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 68, w1 = 4775.872, w2 = 4675.179, dw = -0.06103, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 69, w1 = 4736.409, w2 = 4636.551, dw = -0.06052, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 70, w1 = 4697.593, w2 = 4598.556, dw = -0.06002, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 71, w1 = 4659.408, w2 = 4561.18, dw = -0.05953, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 72, w1 = 4621.839, w2 = 4524.406, dw = -0.05905, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 73, w1 = 4584.871, w2 = 4488.221, dw = -0.05858, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 74, w1 = 4548.49, w2 = 4452.61, dw = -0.05811, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 75, w1 = 4512.681, w2 = 4417.559, dw = -0.05765, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 76, w1 = 4477.432, w2 = 4383.057, dw = -0.0572, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 77, w1 = 4442.729, w2 = 4349.09, dw = -0.05675, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 78, w1 = 4408.56, w2 = 4315.645, dw = -0.05631, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 79, w1 = 4374.912, w2 = 4282.71, dw = -0.05588, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 80, w1 = 4341.774, w2 = 4250.275, dw = -0.05545, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 81, w1 = 4309.134, w2 = 4218.328, dw = -0.05503, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 82, w1 = 4276.981, w2 = 4186.857, dw = -0.05462, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 83, w1 = 4245.304, w2 = 4155.853, dw = -0.05421, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 84, w1 = 4214.093, w2 = 4125.304, dw = -0.05381, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 85, w1 = 4183.337, w2 = 4095.202, dw = -0.05342, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 86, w1 = 4153.026, w2 = 4065.535, dw = -0.05302, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 87, w1 = 4123.152, w2 = 4036.296, dw = -0.05264, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 88, w1 = 4093.703, w2 = 4007.474, dw = -0.05226, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 89, w1 = 4064.672, w2 = 3979.061, dw = -0.05189, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 90, w1 = 4036.05, w2 = 3951.048, dw = -0.05152, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 91, w1 = 4007.828, w2 = 3923.427, dw = -0.05115, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 92, w1 = 3979.997, w2 = 3896.19, dw = -0.05079, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 93, w1 = 3952.549, w2 = 3869.328, dw = -0.05044, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 94, w1 = 3925.478, w2 = 3842.834, dw = -0.05009, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 95, w1 = 3898.774, w2 = 3816.7, dw = -0.04974, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 96, w1 = 3872.43, w2 = 3790.92, dw = -0.0494, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 97, w1 = 3846.44, w2 = 3765.485, dw = -0.04906, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 98, w1 = 3820.795, w2 = 3740.39, dw = -0.04873, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 99, w1 = 3795.49, w2 = 3715.627, dw = -0.0484, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 100, w1 = 3770.518, w2 = 3691.189, dw = -0.04808, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 101, w1 = 3745.871, w2 = 3667.071, dw = -0.04776, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 102, w1 = 3721.543, w2 = 3643.266, dw = -0.04744, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 103, w1 = 3697.53, w2 = 3619.768, dw = -0.04713, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 104, w1 = 3673.823, w2 = 3596.571, dw = -0.04682, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 105, w1 = 3650.418, w2 = 3573.669, dw = -0.04651, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 106, w1 = 3627.308, w2 = 3551.058, dw = -0.04621, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 107, w1 = 3604.488, w2 = 3528.73, dw = -0.04591, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 108, w1 = 3581.953, w2 = 3506.681, dw = -0.04562, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 109, w1 = 3559.698, w2 = 3484.907, dw = -0.04533, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 110, w1 = 3537.716, w2 = 3463.4, dw = -0.04504, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 111, w1 = 3516.003, w2 = 3442.158, dw = -0.04475, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 112, w1 = 3494.555, w2 = 3421.174, dw = -0.04447, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 113, w1 = 3473.365, w2 = 3400.445, dw = -0.04419, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 114, w1 = 3452.43, w2 = 3379.965, dw = -0.04392, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 115, w1 = 3431.745, w2 = 3359.73, dw = -0.04365, 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 Combining spectra... Sep 5 14:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 140902.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 140902.0021.ec.fits[100] 900.0 1.000 0. 0.009 140902.0021.ec.fits[101] 900.0 1.000 0. 0.009 140902.0021.ec.fits[102] 900.0 1.000 0. 0.009 140902.0021.ec.fits[103] 900.0 1.000 0. 0.009 140902.0021.ec.fits[104] 900.0 1.000 0. 0.009 140902.0021.ec.fits[105] 900.0 1.000 0. 0.009 140902.0021.ec.fits[106] 900.0 1.000 0. 0.009 140902.0021.ec.fits[107] 900.0 1.000 0. 0.009 140902.0021.ec.fits[108] 900.0 1.000 0. 0.009 140902.0021.ec.fits[109] 900.0 1.000 0. 0.009 140902.0021.ec.fits[110] 900.0 1.000 0. 0.009 140902.0021.ec.fits[111] 900.0 1.000 0. 0.009 140902.0021.ec.fits[112] 900.0 1.000 0. 0.009 140902.0021.ec.fits[113] 900.0 1.000 0. 0.009 140902.0021.ec.fits[114] 900.0 1.000 0. 0.009 140902.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140902.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.732, w2 = 10812.28, dw = 0.0438393, nw = 169998., dtype = 0 Sep 5 14:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[100] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[101] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[102] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[103] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[104] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[105] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[106] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[107] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[108] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[109] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[110] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[111] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[112] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[113] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[114] 1200.0 1.000 0. 0.009 140902.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140902.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.738, w2 = 10812.29, dw = 0.04384036, nw = 169994., dtype = 0 Sep 5 14:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0023.ec.fits[ 1] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 2] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 3] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 4] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 5] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 6] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 7] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 8] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 9] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 10] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 11] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 12] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 13] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 14] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 15] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 16] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 17] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 18] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 19] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 20] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 21] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 22] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 23] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 24] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 25] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 26] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 27] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 28] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 29] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 30] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 31] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 32] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 33] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 34] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 35] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 36] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 37] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 38] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 39] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 40] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 41] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 42] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 43] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 44] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 45] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 46] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 47] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 48] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 49] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 50] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 51] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 52] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 53] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 54] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 55] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 56] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 57] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 58] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 59] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 60] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 61] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 62] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 63] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 64] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 65] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 66] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 67] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 68] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 69] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 70] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 71] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 72] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 73] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 74] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 75] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 76] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 77] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 78] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 79] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 80] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 81] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 82] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 83] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 84] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 85] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 86] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 87] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 88] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 89] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 90] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 91] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 92] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 93] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 94] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 95] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 96] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 97] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 98] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[ 99] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[100] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[101] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[102] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[103] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[104] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[105] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[106] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[107] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[108] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[109] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[110] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[111] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[112] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[113] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[114] 1500.0 1.000 0. 0.009 140902.0023.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140902.0023.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.744, w2 = 10812.3, dw = 0.04384169, nw = 169989., dtype = 0 Sep 5 14:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0024.ec.fits[ 1] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 2] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 3] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 4] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 5] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 6] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 7] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 8] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 9] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 10] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 11] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 12] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 13] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 14] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 15] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 16] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 17] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 18] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 19] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 20] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 21] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 22] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 23] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 24] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 25] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 26] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 27] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 28] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 29] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 30] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 31] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 32] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 33] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 34] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 35] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 36] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 37] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 38] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 39] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 40] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 41] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 42] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 43] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 44] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 45] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 46] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 47] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 48] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 49] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 50] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 51] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 52] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 53] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 54] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 55] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 56] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 57] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 58] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 59] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 60] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 61] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 62] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 63] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 64] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 65] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 66] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 67] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 68] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 69] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 70] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 71] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 72] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 73] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 74] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 75] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 76] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 77] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 78] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 79] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 80] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 81] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 82] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 83] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 84] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 85] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 86] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 87] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 88] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 89] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 90] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 91] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 92] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 93] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 94] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 95] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 96] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 97] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 98] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[ 99] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[100] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[101] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[102] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[103] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[104] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[105] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[106] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[107] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[108] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[109] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[110] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[111] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[112] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[113] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[114] 1200.0 1.000 0. 0.009 140902.0024.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140902.0024.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.751, w2 = 10812.32, dw = 0.04384327, nw = 169983., dtype = 0 Sep 5 14:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 56] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 57] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 58] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 59] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 60] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 61] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 62] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 63] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 64] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 65] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 66] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 67] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 68] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 69] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 70] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 71] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 72] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 73] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 74] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[100] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[101] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[102] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[103] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[104] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[105] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[106] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[107] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[108] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[109] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[110] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[111] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[112] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[113] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[114] 1500.0 1.000 0. 0.009 140902.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140902.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.758, w2 = 10812.33, dw = 0.0438446, nw = 169978., dtype = 0 Sep 5 14:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0027.ec.fits[ 1] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 2] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 3] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 4] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 5] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 6] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 7] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 8] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 9] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 10] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 11] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 12] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 13] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 14] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 15] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 16] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 17] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 18] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 19] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 20] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 21] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 22] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 23] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 24] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 25] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 26] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 27] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 28] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 29] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 30] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 31] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 32] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 33] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 34] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 35] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 36] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 37] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 38] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 39] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 40] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 41] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 42] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 43] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 44] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 45] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 46] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 47] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 48] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 49] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 50] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 51] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 52] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 53] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 54] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 55] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 56] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 57] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 58] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 59] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 60] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 61] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 62] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 63] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 64] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 65] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 66] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 67] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 68] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 69] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 70] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 71] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 72] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 73] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 74] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 75] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 76] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 77] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 78] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 79] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 80] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 81] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 82] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 83] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 84] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 85] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 86] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 87] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 88] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 89] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 90] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 91] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 92] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 93] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 94] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 95] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 96] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 97] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 98] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[ 99] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[100] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[101] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[102] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[103] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[104] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[105] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[106] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[107] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[108] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[109] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[110] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[111] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[112] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[113] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[114] 1200.0 1.000 0. 0.009 140902.0027.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140902.0027.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.758, w2 = 10812.33, dw = 0.04382189, nw = 170066., dtype = 0 Sep 5 14:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 140902.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 140902.0028.ec.fits[100] 900.0 1.000 0. 0.009 140902.0028.ec.fits[101] 900.0 1.000 0. 0.009 140902.0028.ec.fits[102] 900.0 1.000 0. 0.009 140902.0028.ec.fits[103] 900.0 1.000 0. 0.009 140902.0028.ec.fits[104] 900.0 1.000 0. 0.009 140902.0028.ec.fits[105] 900.0 1.000 0. 0.009 140902.0028.ec.fits[106] 900.0 1.000 0. 0.009 140902.0028.ec.fits[107] 900.0 1.000 0. 0.009 140902.0028.ec.fits[108] 900.0 1.000 0. 0.009 140902.0028.ec.fits[109] 900.0 1.000 0. 0.009 140902.0028.ec.fits[110] 900.0 1.000 0. 0.009 140902.0028.ec.fits[111] 900.0 1.000 0. 0.009 140902.0028.ec.fits[112] 900.0 1.000 0. 0.009 140902.0028.ec.fits[113] 900.0 1.000 0. 0.009 140902.0028.ec.fits[114] 900.0 1.000 0. 0.009 140902.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140902.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.753, w2 = 10812.31, dw = 0.04378784, nw = 170198., dtype = 0 Sep 5 14:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 19] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 20] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 21] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 22] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 23] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 24] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 25] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 26] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 27] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 28] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 29] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 30] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 31] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 32] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 33] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 34] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 35] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 36] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 37] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 38] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 39] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 40] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 41] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 42] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 43] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 44] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 45] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 46] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 47] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 48] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 49] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 50] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 51] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 52] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 53] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 54] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 55] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 56] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 57] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 58] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 59] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 60] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 61] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 62] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 63] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 64] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 65] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 66] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 67] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 68] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 69] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 70] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 71] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 72] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 73] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 74] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 75] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 76] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 77] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 78] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 79] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 80] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 81] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 82] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 83] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 84] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 85] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 86] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 87] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 88] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 89] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 90] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 91] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 92] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 93] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 94] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 95] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 96] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 97] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 98] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[ 99] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[100] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[101] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[102] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[103] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[104] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[105] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[106] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[107] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[108] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[109] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[110] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[111] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[112] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[113] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[114] 1500.0 1.000 0. 0.009 140902.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140902.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.747, w2 = 10812.3, dw = 0.04374897, nw = 170349., dtype = 0 Sep 5 14:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[100] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[101] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[102] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[103] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[104] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[105] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[106] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[107] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[108] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[109] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[110] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[111] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[112] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[113] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[114] 1500.0 1.000 0. 0.009 140902.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140902.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.739, w2 = 10812.27, dw = 0.04370169, nw = 170533., dtype = 0 Sep 5 14:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140902.0031.ec.fits[ 1] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 2] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 3] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 4] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 5] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 6] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 7] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 8] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 9] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 10] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 11] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 12] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 13] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 14] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 15] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 16] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 17] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 18] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 19] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 20] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 21] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 22] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 23] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 24] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 25] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 26] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 27] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 28] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 29] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 30] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 31] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 32] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 33] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 34] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 35] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 36] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 37] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 38] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 39] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 40] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 41] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 42] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 43] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 44] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 45] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 46] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 47] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 48] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 49] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 50] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 51] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 52] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 53] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 54] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 55] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 56] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 57] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 58] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 59] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 60] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 61] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 62] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 63] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 64] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 65] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 66] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 67] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 68] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 69] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 70] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 71] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 72] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 73] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 74] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 75] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 76] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 77] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 78] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 79] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 80] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 81] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 82] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 83] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 84] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 85] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 86] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 87] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 88] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 89] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 90] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 91] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 92] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 93] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 94] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 95] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 96] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 97] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 98] 900.0 1.000 0. 0.009 140902.0031.ec.fits[ 99] 900.0 1.000 0. 0.009 140902.0031.ec.fits[100] 900.0 1.000 0. 0.009 140902.0031.ec.fits[101] 900.0 1.000 0. 0.009 140902.0031.ec.fits[102] 900.0 1.000 0. 0.009 140902.0031.ec.fits[103] 900.0 1.000 0. 0.009 140902.0031.ec.fits[104] 900.0 1.000 0. 0.009 140902.0031.ec.fits[105] 900.0 1.000 0. 0.009 140902.0031.ec.fits[106] 900.0 1.000 0. 0.009 140902.0031.ec.fits[107] 900.0 1.000 0. 0.009 140902.0031.ec.fits[108] 900.0 1.000 0. 0.009 140902.0031.ec.fits[109] 900.0 1.000 0. 0.009 140902.0031.ec.fits[110] 900.0 1.000 0. 0.009 140902.0031.ec.fits[111] 900.0 1.000 0. 0.009 140902.0031.ec.fits[112] 900.0 1.000 0. 0.009 140902.0031.ec.fits[113] 900.0 1.000 0. 0.009 140902.0031.ec.fits[114] 900.0 1.000 0. 0.009 140902.0031.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140902.0031.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.733, w2 = 10812.26, dw = 0.04366348, nw = 170682., dtype = 0 Sep 5 14:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140902.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140902.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.732, w2 = 10812.28, dw = 0.0438393, nw = 169998., dtype = 0 Sep 5 14:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140902.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140902.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.738, w2 = 10812.29, dw = 0.04384036, nw = 169994., dtype = 0 Sep 5 14:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0023.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140902.0023.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140902.0023.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.744, w2 = 10812.3, dw = 0.04384169, nw = 169989., dtype = 0 Sep 5 14:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0024.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140902.0024.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140902.0024.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.751, w2 = 10812.32, dw = 0.04384327, nw = 169983., dtype = 0 Sep 5 14:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0025.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140902.0025.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140902.0025.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.758, w2 = 10812.33, dw = 0.0438446, nw = 169978., dtype = 0 Sep 5 14:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0027.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140902.0027.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140902.0027.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.758, w2 = 10812.33, dw = 0.04382189, nw = 170066., dtype = 0 Sep 5 14:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140902.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140902.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.753, w2 = 10812.31, dw = 0.04378784, nw = 170198., dtype = 0 Sep 5 14:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140902.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140902.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.747, w2 = 10812.3, dw = 0.04374897, nw = 170349., dtype = 0 Sep 5 14:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140902.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140902.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.739, w2 = 10812.27, dw = 0.04370169, nw = 170533., dtype = 0 Sep 5 14:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140902.0031.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140902.0031.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140902.0031.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.733, w2 = 10812.26, dw = 0.04366348, nw = 170682., dtype = 0 103500. fullspec140902.0021.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140902.0021.ec.fits updated 138000. fullspec140902.0022.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140902.0022.ec.fits updated 172500. fullspec140902.0023.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140902.0023.ec.fits updated 138000. fullspec140902.0024.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140902.0024.ec.fits updated 172500. fullspec140902.0025.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140902.0025.ec.fits updated 138000. fullspec140902.0027.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140902.0027.ec.fits updated 103500. fullspec140902.0028.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140902.0028.ec.fits updated 172500. fullspec140902.0029.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140902.0029.ec.fits updated 172500. fullspec140902.0030.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140902.0030.ec.fits updated 103500. fullspec140902.0031.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140902.0031.ec.fits updated ALL DONE! Yay! (=^.^=)