Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 140514.0021.fits,dispaxis = 1 140514.0021.fits updated add 140514.0022.fits,dispaxis = 1 140514.0022.fits updated add 140514.0023.fits,dispaxis = 1 140514.0023.fits updated add 140514.0025.fits,dispaxis = 1 140514.0025.fits updated add 140514.0026.fits,dispaxis = 1 140514.0026.fits updated add 140514.0027.fits,dispaxis = 1 140514.0027.fits updated add 140514.0029.fits,dispaxis = 1 140514.0029.fits updated add 140514.0030.fits,dispaxis = 1 140514.0030.fits updated add 140514.0031.fits,dispaxis = 1 140514.0031.fits updated add 140514.0033.fits,dispaxis = 1 140514.0033.fits updated add 140514.0034.fits,dispaxis = 1 140514.0034.fits updated add 140514.0035.fits,dispaxis = 1 140514.0035.fits updated add 140514.0036.fits,dispaxis = 1 140514.0036.fits updated add EchelleBias.0001.fits,dispaxis = 1 EchelleBias.0001.fits updated add EchelleBias.0002.fits,dispaxis = 1 EchelleBias.0002.fits updated add EchelleBias.0003.fits,dispaxis = 1 EchelleBias.0003.fits updated add EchelleBias.0004.fits,dispaxis = 1 EchelleBias.0004.fits updated add EchelleBias.0005.fits,dispaxis = 1 EchelleBias.0005.fits updated add EchelleBias.0006.fits,dispaxis = 1 EchelleBias.0006.fits updated add EchelleBias.0007.fits,dispaxis = 1 EchelleBias.0007.fits updated add EchelleBias.0008.fits,dispaxis = 1 EchelleBias.0008.fits updated add EchelleBias.0009.fits,dispaxis = 1 EchelleBias.0009.fits updated add EchelleBias.0010.fits,dispaxis = 1 EchelleBias.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlat.0012.fits,dispaxis = 1 EchelleFlat.0012.fits updated add EchelleFlat.0013.fits,dispaxis = 1 EchelleFlat.0013.fits updated add EchelleFlatBlue.0014.fits,dispaxis = 1 EchelleFlatBlue.0014.fits updated add EchelleFlatBlue.0015.fits,dispaxis = 1 EchelleFlatBlue.0015.fits updated add EchelleFlatBlue.0016.fits,dispaxis = 1 EchelleFlatBlue.0016.fits updated add EchelleThAr.0017.fits,dispaxis = 1 EchelleThAr.0017.fits updated add EchelleThAr.0018.fits,dispaxis = 1 EchelleThAr.0018.fits updated add EchelleThAr.0019.fits,dispaxis = 1 EchelleThAr.0019.fits updated add EchelleThAr.0020.fits,dispaxis = 1 EchelleThAr.0020.fits updated add EchelleThAr.0024.fits,dispaxis = 1 EchelleThAr.0024.fits updated add EchelleThAr.0028.fits,dispaxis = 1 EchelleThAr.0028.fits updated add EchelleThAr.0032.fits,dispaxis = 1 EchelleThAr.0032.fits updated add EchelleThAr.0037.fits,dispaxis = 1 EchelleThAr.0037.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 140514.0021.fits with mask echmask.pl FIXPIX: image 140514.0022.fits with mask echmask.pl FIXPIX: image 140514.0023.fits with mask echmask.pl FIXPIX: image 140514.0025.fits with mask echmask.pl FIXPIX: image 140514.0026.fits with mask echmask.pl FIXPIX: image 140514.0027.fits with mask echmask.pl FIXPIX: image 140514.0029.fits with mask echmask.pl FIXPIX: image 140514.0030.fits with mask echmask.pl FIXPIX: image 140514.0031.fits with mask echmask.pl FIXPIX: image 140514.0033.fits with mask echmask.pl FIXPIX: image 140514.0034.fits with mask echmask.pl FIXPIX: image 140514.0035.fits with mask echmask.pl FIXPIX: image 140514.0036.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl FIXPIX: image EchelleThAr.0018.fits with mask echmask.pl FIXPIX: image EchelleThAr.0019.fits with mask echmask.pl FIXPIX: image EchelleThAr.0020.fits with mask echmask.pl FIXPIX: image EchelleThAr.0024.fits with mask echmask.pl FIXPIX: image EchelleThAr.0028.fits with mask echmask.pl FIXPIX: image EchelleThAr.0032.fits with mask echmask.pl FIXPIX: image EchelleThAr.0037.fits with mask echmask.pl May 15 14:53: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.9 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 1.3 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 0.9 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.9 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 0.9 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 140514.0021.fits: May 15 14:53 Trim data section is [200:1850,1:2048] bias_fid: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0021.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0022.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0022.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0023.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0023.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0025.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0025.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0026.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0026.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0027.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0027.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0029.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0029.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0030.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0030.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0031.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0031.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0033.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0033.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0034.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0034.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0035.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0035.fits: May 15 14:53 Zero level correction image is bias_fid 140514.0036.fits: May 15 14:53 Trim data section is [200:1850,1:2048] 140514.0036.fits: May 15 14:53 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: May 15 14:53 Zero level correction image is bias_fid EchelleFlat.0012.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: May 15 14:53 Zero level correction image is bias_fid EchelleFlat.0013.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: May 15 14:53 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: May 15 14:53 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: May 15 14:53 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: May 15 14:53 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: May 15 14:53 Zero level correction image is bias_fid EchelleThAr.0018.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: May 15 14:53 Zero level correction image is bias_fid EchelleThAr.0019.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: May 15 14:53 Zero level correction image is bias_fid EchelleThAr.0020.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: May 15 14:53 Zero level correction image is bias_fid EchelleThAr.0024.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleThAr.0024.fits: May 15 14:53 Zero level correction image is bias_fid EchelleThAr.0028.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleThAr.0028.fits: May 15 14:53 Zero level correction image is bias_fid EchelleThAr.0032.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleThAr.0032.fits: May 15 14:53 Zero level correction image is bias_fid EchelleThAr.0037.fits: May 15 14:53 Trim data section is [200:1850,1:2048] EchelleThAr.0037.fits: May 15 14:53 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... May 15 14:53: 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 May 15 14:53: 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... May 15 14:53: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1638. May 15 14:53: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 1639. May 15 14:53: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1630. May 15 14:53: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1631. May 15 14:53: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1632. May 15 14:53: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 130. May 15 14:53: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 129. May 15 14:53: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 104. May 15 14:53: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 103. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1617. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1618. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1629. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1630. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1641. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1642. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1643. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 105. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 104. May 15 14:53: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 103. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1530. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1531. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1628. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1629. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1630. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1639. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1640. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1645. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1646. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 133. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 132. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 112. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 111. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 82. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 81. May 15 14:53: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 80. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1624. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1625. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1626. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1627. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1628. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1629. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 129. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 128. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 127. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 107. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 106. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 103. May 15 14:53: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 102. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1555. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1556. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1615. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1616. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1638. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1639. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1643. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1644. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1645. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1646. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1648. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1649. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1650. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 163. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 162. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 140. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 139. May 15 14:53: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 138. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1504. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1505. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1506. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1510. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1511. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1549. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1550. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1551. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 166. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 165. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 134. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 133. May 15 14:53: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 132. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1488. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1489. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1569. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1570. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1592. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1593. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1594. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1605. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1606. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1607. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 175. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 174. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 53. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 52. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 23. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 22. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 18. May 15 14:53: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 17. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1450. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1451. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1452. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1453. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1454. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 179. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 178. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 174. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 173. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 156. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 155. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 143. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 142. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 132. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 131. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 130. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 119. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 118. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 102. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 101. May 15 14:53: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 100. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1425. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1426. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1489. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1490. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1496. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1497. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1498. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1499. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1527. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1528. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1535. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1536. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1543. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1544. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1547. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1548. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1561. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1562. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1564. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1565. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1566. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1584. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1585. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1592. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1593. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1606. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1607. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1608. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1619. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1620. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 276. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 275. May 15 14:53: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 274. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1358. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1359. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1401. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1402. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1405. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1406. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1408. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1409. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1458. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1459. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1460. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1462. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1463. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1488. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1489. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1502. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1503. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1504. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 303. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 302. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 285. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 284. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 283. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 282. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 281. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 238. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 237. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 236. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 181. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 180. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 157. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 156. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 144. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 143. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 135. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 134. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 123. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 122. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 120. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 119. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 118. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 104. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 103. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 81. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 80. May 15 14:53: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 79. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1280. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1281. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1282. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 297. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 296. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 236. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 235. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 227. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 226. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 222. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 221. May 15 14:53: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 220. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1276. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1277. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1278. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 299. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 298. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 269. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 268. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 267. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 242. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 241. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 240. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 207. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 206. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 192. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 191. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 172. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 171. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 170. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 169. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 161. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 160. May 15 14:53: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 159. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1238. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1239. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1282. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1283. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1294. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1295. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1327. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1328. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1360. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1361. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1364. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1365. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1366. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 454. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 453. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 403. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 402. May 15 14:53: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 401. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1110. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1111. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1142. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1143. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1207. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1208. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1209. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 618. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 617. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 395. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 394. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 364. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 363. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 336. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 335. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 332. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 331. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 307. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 306. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 294. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 293. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 291. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 290. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 282. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 281. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 280. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 272. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 271. May 15 14:53: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 270. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 934. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 935. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1020. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1021. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1022. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1047. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1048. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1049. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 762. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 761. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 642. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 641. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 624. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 623. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 592. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 591. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 572. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 571. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 570. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 562. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 561. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 528. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 527. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 489. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 488. May 15 14:53: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 487. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 18.05 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0017.fits Magnify image EchelleThAr.0017.fits to image EchelleThAr.0017.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0017.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0017.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0018.fits Magnify image EchelleThAr.0018.fits to image EchelleThAr.0018.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0018.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0018.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0019.fits Magnify image EchelleThAr.0019.fits to image EchelleThAr.0019.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0019.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0019.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0020.fits Magnify image EchelleThAr.0020.fits to image EchelleThAr.0020.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0020.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0020.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0024.fits Magnify image EchelleThAr.0024.fits to image EchelleThAr.0024.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0024.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0024.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0028.fits Magnify image EchelleThAr.0028.fits to image EchelleThAr.0028.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0028.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0028.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0032.fits Magnify image EchelleThAr.0032.fits to image EchelleThAr.0032.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0032.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0032.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0037.fits Magnify image EchelleThAr.0037.fits to image EchelleThAr.0037.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.0037.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0037.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140514.0021 Magnify image 140514.0021 to image 140514.0021. 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 140514.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0021 -> noscat140514.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 14:54: EXTRACT: WARNING - Aperture 1: May 15 14:54: Total variance weighted spectrum flux is 6257.363 May 15 14:54: Total unweighted spectrum flux is 2038.464 May 15 14:54: EXTRACT: Aperture 1 variance spectrum bias factor is 0.3257704 May 15 14:54: EXTRACT: WARNING - Aperture 106: May 15 14:54: Total variance weighted spectrum flux is 11836.44 May 15 14:54: Total unweighted spectrum flux is 5729.95 May 15 14:54: EXTRACT: Aperture 106 variance spectrum bias factor is 0.484094 May 15 14:54: EXTRACT: WARNING - Aperture 107: May 15 14:54: Total variance weighted spectrum flux is 9641.581 May 15 14:54: Total unweighted spectrum flux is 3752.04 May 15 14:54: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3891519 May 15 14:54: EXTRACT: WARNING - Aperture 110: May 15 14:54: Total variance weighted spectrum flux is 7787.672 May 15 14:54: Total unweighted spectrum flux is 3824.379 May 15 14:54: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4910812 May 15 14:54: EXTRACT: WARNING - Aperture 112: May 15 14:54: Total variance weighted spectrum flux is 9049.674 May 15 14:54: Total unweighted spectrum flux is 3748.21 May 15 14:54: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4141818 May 15 14:54: EXTRACT: WARNING - Aperture 114: May 15 14:54: Total variance weighted spectrum flux is 3375.951 May 15 14:54: Total unweighted spectrum flux is -321.4265 May 15 14:54: Variance spectrum bias factor ignored May 15 14:54: EXTRACT: WARNING - Aperture 115: May 15 14:54: Total variance weighted spectrum flux is 3755.39 May 15 14:54: Total unweighted spectrum flux is 143.69 May 15 14:54: EXTRACT: Aperture 115 variance spectrum bias factor is 0.03826233 Resampling the object by a factor of 4 in the y direction... 140514.0022 Magnify image 140514.0022 to image 140514.0022. 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 140514.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0022 -> noscat140514.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 14:55: EXTRACT: WARNING - Aperture 101: May 15 14:55: Total variance weighted spectrum flux is 14322.81 May 15 14:55: Total unweighted spectrum flux is 7095.31 May 15 14:55: EXTRACT: Aperture 101 variance spectrum bias factor is 0.4953853 May 15 14:55: EXTRACT: WARNING - Aperture 105: May 15 14:55: Total variance weighted spectrum flux is 8339.371 May 15 14:55: Total unweighted spectrum flux is 4097.822 May 15 14:55: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4913826 May 15 14:55: EXTRACT: WARNING - Aperture 108: May 15 14:55: Total variance weighted spectrum flux is 4327.226 May 15 14:55: Total unweighted spectrum flux is 2128.843 May 15 14:55: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4919648 May 15 14:55: EXTRACT: WARNING - Aperture 109: May 15 14:55: Total variance weighted spectrum flux is 6509.331 May 15 14:55: Total unweighted spectrum flux is 2592.704 May 15 14:55: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3983057 May 15 14:55: EXTRACT: WARNING - Aperture 110: May 15 14:55: Total variance weighted spectrum flux is 11456.8 May 15 14:55: Total unweighted spectrum flux is 3258.17 May 15 14:55: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2843874 May 15 14:55: EXTRACT: WARNING - Aperture 111: May 15 14:55: Total variance weighted spectrum flux is 11948.74 May 15 14:55: Total unweighted spectrum flux is 4301.142 May 15 14:55: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3599662 May 15 14:55: EXTRACT: WARNING - Aperture 112: May 15 14:55: Total variance weighted spectrum flux is 9727.306 May 15 14:55: Total unweighted spectrum flux is 2352.865 May 15 14:55: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2418824 May 15 14:55: EXTRACT: WARNING - Aperture 113: May 15 14:55: Total variance weighted spectrum flux is 4658.496 May 15 14:55: Total unweighted spectrum flux is 1343.748 May 15 14:55: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2884511 May 15 14:55: EXTRACT: WARNING - Aperture 114: May 15 14:55: Total variance weighted spectrum flux is 3255.985 May 15 14:55: Total unweighted spectrum flux is 1082.735 May 15 14:55: EXTRACT: Aperture 114 variance spectrum bias factor is 0.332537 May 15 14:55: EXTRACT: WARNING - Aperture 115: May 15 14:55: Total variance weighted spectrum flux is 3199.394 May 15 14:55: Total unweighted spectrum flux is 1090.339 May 15 14:55: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3407956 Resampling the object by a factor of 4 in the y direction... 140514.0023 Magnify image 140514.0023 to image 140514.0023. 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 140514.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0023 -> noscat140514.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 14:56: EXTRACT: WARNING - Aperture 109: May 15 14:56: Total variance weighted spectrum flux is 10019.82 May 15 14:56: Total unweighted spectrum flux is 4762.62 May 15 14:56: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4753198 May 15 14:56: EXTRACT: WARNING - Aperture 112: May 15 14:56: Total variance weighted spectrum flux is 7164.871 May 15 14:56: Total unweighted spectrum flux is 2276.623 May 15 14:56: EXTRACT: Aperture 112 variance spectrum bias factor is 0.317748 May 15 14:56: EXTRACT: WARNING - Aperture 113: May 15 14:56: Total variance weighted spectrum flux is 6051.348 May 15 14:56: Total unweighted spectrum flux is 1814.957 May 15 14:56: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2999261 May 15 14:56: EXTRACT: WARNING - Aperture 114: May 15 14:56: Total variance weighted spectrum flux is 5050.808 May 15 14:56: Total unweighted spectrum flux is 135.369 May 15 14:56: EXTRACT: Aperture 114 variance spectrum bias factor is 0.02680145 Resampling the object by a factor of 4 in the y direction... 140514.0025 Magnify image 140514.0025 to image 140514.0025. 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 140514.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0025 -> noscat140514.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 14:56: EXTRACT: WARNING - Aperture 107: May 15 14:56: Total variance weighted spectrum flux is 16199.04 May 15 14:56: Total unweighted spectrum flux is 7924.133 May 15 14:56: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4891731 May 15 14:56: EXTRACT: WARNING - Aperture 111: May 15 14:56: Total variance weighted spectrum flux is 4339.615 May 15 14:56: Total unweighted spectrum flux is 527.942 May 15 14:56: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1216564 May 15 14:56: EXTRACT: WARNING - Aperture 113: May 15 14:56: Total variance weighted spectrum flux is 4964.709 May 15 14:56: Total unweighted spectrum flux is 1725.748 May 15 14:56: EXTRACT: Aperture 113 variance spectrum bias factor is 0.347603 May 15 14:56: EXTRACT: WARNING - Aperture 114: May 15 14:56: Total variance weighted spectrum flux is 7689.568 May 15 14:56: Total unweighted spectrum flux is 3620.509 May 15 14:56: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4708339 May 15 14:56: EXTRACT: WARNING - Aperture 115: May 15 14:56: Total variance weighted spectrum flux is 6077.147 May 15 14:56: Total unweighted spectrum flux is 2329.257 May 15 14:56: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3832814 Resampling the object by a factor of 4 in the y direction... 140514.0026 Magnify image 140514.0026 to image 140514.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140514.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0026 -> noscat140514.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 14:57: EXTRACT: WARNING - Aperture 1: May 15 14:57: Total variance weighted spectrum flux is 5081.943 May 15 14:57: Total unweighted spectrum flux is 2030.502 May 15 14:57: EXTRACT: Aperture 1 variance spectrum bias factor is 0.3995523 May 15 14:57: EXTRACT: WARNING - Aperture 105: May 15 14:57: Total variance weighted spectrum flux is 10152.26 May 15 14:57: Total unweighted spectrum flux is 4739.849 May 15 14:57: EXTRACT: Aperture 105 variance spectrum bias factor is 0.466876 May 15 14:57: EXTRACT: WARNING - Aperture 107: May 15 14:57: Total variance weighted spectrum flux is 9459.037 May 15 14:57: Total unweighted spectrum flux is 3714.973 May 15 14:57: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3927433 May 15 14:57: EXTRACT: WARNING - Aperture 108: May 15 14:57: Total variance weighted spectrum flux is 10482.31 May 15 14:57: Total unweighted spectrum flux is 4494.037 May 15 14:57: EXTRACT: Aperture 108 variance spectrum bias factor is 0.428726 May 15 14:57: EXTRACT: WARNING - Aperture 109: May 15 14:57: Total variance weighted spectrum flux is 8831.469 May 15 14:57: Total unweighted spectrum flux is 3398.215 May 15 14:57: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3847848 May 15 14:57: EXTRACT: WARNING - Aperture 110: May 15 14:57: Total variance weighted spectrum flux is 9972.383 May 15 14:57: Total unweighted spectrum flux is -408.4565 May 15 14:57: Variance spectrum bias factor ignored May 15 14:57: EXTRACT: WARNING - Aperture 111: May 15 14:57: Total variance weighted spectrum flux is 6491.88 May 15 14:57: Total unweighted spectrum flux is 3002.697 May 15 14:57: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4625311 May 15 14:57: EXTRACT: WARNING - Aperture 112: May 15 14:57: Total variance weighted spectrum flux is 6540.367 May 15 14:57: Total unweighted spectrum flux is 3029.559 May 15 14:57: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4632094 May 15 14:57: EXTRACT: WARNING - Aperture 113: May 15 14:57: Total variance weighted spectrum flux is 4590.208 May 15 14:57: Total unweighted spectrum flux is -2.483566 May 15 14:57: Variance spectrum bias factor ignored May 15 14:57: EXTRACT: WARNING - Aperture 114: May 15 14:57: Total variance weighted spectrum flux is 2857.993 May 15 14:57: Total unweighted spectrum flux is -195.2477 May 15 14:57: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 140514.0027 Magnify image 140514.0027 to image 140514.0027. 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 140514.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0027 -> noscat140514.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 14:58: EXTRACT: WARNING - Aperture 97: May 15 14:58: Total variance weighted spectrum flux is 3332.751 May 15 14:58: Total unweighted spectrum flux is -311.0529 May 15 14:58: Variance spectrum bias factor ignored May 15 14:58: EXTRACT: WARNING - Aperture 104: May 15 14:58: Total variance weighted spectrum flux is 5706.438 May 15 14:58: Total unweighted spectrum flux is 934.6554 May 15 14:58: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1637896 May 15 14:58: EXTRACT: WARNING - Aperture 105: May 15 14:58: Total variance weighted spectrum flux is 10661.4 May 15 14:58: Total unweighted spectrum flux is 4758.704 May 15 14:58: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4463487 May 15 14:58: EXTRACT: WARNING - Aperture 106: May 15 14:58: Total variance weighted spectrum flux is 12572.33 May 15 14:58: Total unweighted spectrum flux is 6210.059 May 15 14:58: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4939467 May 15 14:58: EXTRACT: WARNING - Aperture 107: May 15 14:58: Total variance weighted spectrum flux is 13056.11 May 15 14:58: Total unweighted spectrum flux is 4712.102 May 15 14:58: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3609115 May 15 14:58: EXTRACT: WARNING - Aperture 109: May 15 14:58: Total variance weighted spectrum flux is 9361.13 May 15 14:58: Total unweighted spectrum flux is 3724.535 May 15 14:58: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3978724 May 15 14:58: EXTRACT: WARNING - Aperture 110: May 15 14:58: Total variance weighted spectrum flux is 7376.222 May 15 14:58: Total unweighted spectrum flux is 1919.088 May 15 14:58: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2601722 May 15 14:58: EXTRACT: WARNING - Aperture 112: May 15 14:58: Total variance weighted spectrum flux is 5757.933 May 15 14:58: Total unweighted spectrum flux is -1255.112 May 15 14:58: Variance spectrum bias factor ignored May 15 14:58: EXTRACT: WARNING - Aperture 113: May 15 14:58: Total variance weighted spectrum flux is 4029.37 May 15 14:58: Total unweighted spectrum flux is 250.9308 May 15 14:58: EXTRACT: Aperture 113 variance spectrum bias factor is 0.06227543 May 15 14:58: EXTRACT: WARNING - Aperture 114: May 15 14:58: Total variance weighted spectrum flux is 3898.13 May 15 14:58: Total unweighted spectrum flux is 1549.067 May 15 14:58: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3973873 May 15 14:58: EXTRACT: WARNING - Aperture 115: May 15 14:58: Total variance weighted spectrum flux is 1034.627 May 15 14:58: Total unweighted spectrum flux is -113.8526 May 15 14:58: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 140514.0029 Magnify image 140514.0029 to image 140514.0029. 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 140514.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0029 -> noscat140514.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 14:58: EXTRACT: WARNING - Aperture 1: May 15 14:58: Total variance weighted spectrum flux is 6676.558 May 15 14:58: Total unweighted spectrum flux is 2683.447 May 15 14:58: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4019206 May 15 14:59: EXTRACT: WARNING - Aperture 99: May 15 14:59: Total variance weighted spectrum flux is 23465.62 May 15 14:59: Total unweighted spectrum flux is 10216.48 May 15 14:59: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4353806 May 15 14:59: EXTRACT: WARNING - Aperture 105: May 15 14:59: Total variance weighted spectrum flux is 12929.91 May 15 14:59: Total unweighted spectrum flux is 5908.813 May 15 14:59: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4569881 May 15 14:59: EXTRACT: WARNING - Aperture 106: May 15 14:59: Total variance weighted spectrum flux is 11211.5 May 15 14:59: Total unweighted spectrum flux is 3101.439 May 15 14:59: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2766301 May 15 14:59: EXTRACT: WARNING - Aperture 107: May 15 14:59: Total variance weighted spectrum flux is 7533.721 May 15 14:59: Total unweighted spectrum flux is 3255.801 May 15 14:59: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4321637 May 15 14:59: EXTRACT: WARNING - Aperture 108: May 15 14:59: Total variance weighted spectrum flux is 10458.37 May 15 14:59: Total unweighted spectrum flux is 4856.852 May 15 14:59: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4643984 May 15 14:59: EXTRACT: WARNING - Aperture 109: May 15 14:59: Total variance weighted spectrum flux is 9131.382 May 15 14:59: Total unweighted spectrum flux is 3042.528 May 15 14:59: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3331946 May 15 14:59: EXTRACT: WARNING - Aperture 110: May 15 14:59: Total variance weighted spectrum flux is 11723.78 May 15 14:59: Total unweighted spectrum flux is 2618.747 May 15 14:59: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2233706 May 15 14:59: EXTRACT: WARNING - Aperture 112: May 15 14:59: Total variance weighted spectrum flux is 9296.427 May 15 14:59: Total unweighted spectrum flux is 4015.046 May 15 14:59: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4318913 May 15 14:59: EXTRACT: WARNING - Aperture 113: May 15 14:59: Total variance weighted spectrum flux is 7563.452 May 15 14:59: Total unweighted spectrum flux is -92.57796 May 15 14:59: Variance spectrum bias factor ignored May 15 14:59: EXTRACT: WARNING - Aperture 114: May 15 14:59: Total variance weighted spectrum flux is 5470.128 May 15 14:59: Total unweighted spectrum flux is 816.2133 May 15 14:59: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1492128 May 15 14:59: EXTRACT: WARNING - Aperture 115: May 15 14:59: Total variance weighted spectrum flux is 4835.403 May 15 14:59: Total unweighted spectrum flux is 1727.145 May 15 14:59: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3571874 Resampling the object by a factor of 4 in the y direction... 140514.0030 Magnify image 140514.0030 to image 140514.0030. 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 140514.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0030 -> noscat140514.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 15:00: EXTRACT: WARNING - Aperture 107: May 15 15:00: Total variance weighted spectrum flux is 14488.09 May 15 15:00: Total unweighted spectrum flux is 6223.333 May 15 15:00: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4295483 May 15 15:00: EXTRACT: WARNING - Aperture 109: May 15 15:00: Total variance weighted spectrum flux is 10528.56 May 15 15:00: Total unweighted spectrum flux is 4553.3 May 15 15:00: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4324714 May 15 15:00: EXTRACT: WARNING - Aperture 111: May 15 15:00: Total variance weighted spectrum flux is 5220.581 May 15 15:00: Total unweighted spectrum flux is 332.7295 May 15 15:00: EXTRACT: Aperture 111 variance spectrum bias factor is 0.0637342 May 15 15:00: EXTRACT: WARNING - Aperture 115: May 15 15:00: Total variance weighted spectrum flux is 4936.759 May 15 15:00: Total unweighted spectrum flux is 1427.436 May 15 15:00: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2891443 Resampling the object by a factor of 4 in the y direction... 140514.0031 Magnify image 140514.0031 to image 140514.0031. 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 140514.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0031 -> noscat140514.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 15:00: EXTRACT: WARNING - Aperture 1: May 15 15:00: Total variance weighted spectrum flux is 3080.115 May 15 15:00: Total unweighted spectrum flux is 904.2016 May 15 15:00: EXTRACT: Aperture 1 variance spectrum bias factor is 0.293561 May 15 15:00: EXTRACT: WARNING - Aperture 2: May 15 15:00: Total variance weighted spectrum flux is 11838.3 May 15 15:00: Total unweighted spectrum flux is 5563.1 May 15 15:00: EXTRACT: Aperture 2 variance spectrum bias factor is 0.4699238 May 15 15:00: EXTRACT: WARNING - Aperture 100: May 15 15:00: Total variance weighted spectrum flux is 9432.3 May 15 15:00: Total unweighted spectrum flux is 2817.444 May 15 15:00: EXTRACT: Aperture 100 variance spectrum bias factor is 0.2987017 May 15 15:00: EXTRACT: WARNING - Aperture 102: May 15 15:00: Total variance weighted spectrum flux is 8005.083 May 15 15:00: Total unweighted spectrum flux is 3738.052 May 15 15:00: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4669598 May 15 15:00: EXTRACT: WARNING - Aperture 104: May 15 15:00: Total variance weighted spectrum flux is 4400.447 May 15 15:00: Total unweighted spectrum flux is 1246.816 May 15 15:00: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2833384 May 15 15:00: EXTRACT: WARNING - Aperture 107: May 15 15:00: Total variance weighted spectrum flux is 12202.27 May 15 15:00: Total unweighted spectrum flux is 3770.933 May 15 15:00: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3090354 May 15 15:00: EXTRACT: WARNING - Aperture 109: May 15 15:00: Total variance weighted spectrum flux is 9687.614 May 15 15:00: Total unweighted spectrum flux is 3249.187 May 15 15:00: EXTRACT: Aperture 109 variance spectrum bias factor is 0.335396 May 15 15:00: EXTRACT: WARNING - Aperture 110: May 15 15:00: Total variance weighted spectrum flux is 5435.973 May 15 15:00: Total unweighted spectrum flux is 870.9802 May 15 15:00: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1602253 May 15 15:00: EXTRACT: WARNING - Aperture 112: May 15 15:00: Total variance weighted spectrum flux is 3365.128 May 15 15:00: Total unweighted spectrum flux is 1615.684 May 15 15:00: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4801254 May 15 15:00: EXTRACT: WARNING - Aperture 113: May 15 15:00: Total variance weighted spectrum flux is 3133.166 May 15 15:00: Total unweighted spectrum flux is 1341.518 May 15 15:00: EXTRACT: Aperture 113 variance spectrum bias factor is 0.428167 May 15 15:00: EXTRACT: WARNING - Aperture 114: May 15 15:00: Total variance weighted spectrum flux is 1686.915 May 15 15:00: Total unweighted spectrum flux is 88.91543 May 15 15:00: EXTRACT: Aperture 114 variance spectrum bias factor is 0.05270889 May 15 15:00: EXTRACT: WARNING - Aperture 115: May 15 15:00: Total variance weighted spectrum flux is 4696.395 May 15 15:00: Total unweighted spectrum flux is 1703.095 May 15 15:00: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3626389 Resampling the object by a factor of 4 in the y direction... 140514.0033 Magnify image 140514.0033 to image 140514.0033. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140514.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0033 -> noscat140514.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 15:01: EXTRACT: WARNING - Aperture 1: May 15 15:01: Total variance weighted spectrum flux is 8241.196 May 15 15:01: Total unweighted spectrum flux is 2980.039 May 15 15:01: EXTRACT: Aperture 1 variance spectrum bias factor is 0.3616027 May 15 15:01: EXTRACT: WARNING - Aperture 102: May 15 15:01: Total variance weighted spectrum flux is 17020.76 May 15 15:01: Total unweighted spectrum flux is 8400.23 May 15 15:01: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4935286 May 15 15:01: EXTRACT: WARNING - Aperture 105: May 15 15:01: Total variance weighted spectrum flux is 9280.873 May 15 15:01: Total unweighted spectrum flux is 2987.821 May 15 15:01: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3219332 May 15 15:01: EXTRACT: WARNING - Aperture 106: May 15 15:01: Total variance weighted spectrum flux is 10234.64 May 15 15:01: Total unweighted spectrum flux is 4926.85 May 15 15:01: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4813898 May 15 15:01: EXTRACT: WARNING - Aperture 107: May 15 15:01: Total variance weighted spectrum flux is 6813.51 May 15 15:01: Total unweighted spectrum flux is 3065.787 May 15 15:01: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4499571 May 15 15:01: EXTRACT: WARNING - Aperture 109: May 15 15:01: Total variance weighted spectrum flux is 9550.799 May 15 15:01: Total unweighted spectrum flux is 3027.114 May 15 15:01: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3169488 May 15 15:01: EXTRACT: WARNING - Aperture 110: May 15 15:01: Total variance weighted spectrum flux is 8165.553 May 15 15:01: Total unweighted spectrum flux is 3006.654 May 15 15:01: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3682119 May 15 15:01: EXTRACT: WARNING - Aperture 112: May 15 15:01: Total variance weighted spectrum flux is 4859.624 May 15 15:01: Total unweighted spectrum flux is 2223.611 May 15 15:01: EXTRACT: Aperture 112 variance spectrum bias factor is 0.4575684 May 15 15:01: EXTRACT: WARNING - Aperture 113: May 15 15:01: Total variance weighted spectrum flux is 3199.284 May 15 15:01: Total unweighted spectrum flux is -504.2087 May 15 15:01: Variance spectrum bias factor ignored May 15 15:01: EXTRACT: WARNING - Aperture 114: May 15 15:01: Total variance weighted spectrum flux is 1040.923 May 15 15:01: Total unweighted spectrum flux is -394.4023 May 15 15:01: Variance spectrum bias factor ignored May 15 15:01: EXTRACT: WARNING - Aperture 115: May 15 15:01: Total variance weighted spectrum flux is 3850.159 May 15 15:01: Total unweighted spectrum flux is 1206.223 May 15 15:01: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3132918 Resampling the object by a factor of 4 in the y direction... 140514.0034 Magnify image 140514.0034 to image 140514.0034. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140514.0034,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0034 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0034 -> noscat140514.0034 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 15:01: EXTRACT: WARNING - Aperture 2: May 15 15:01: Total variance weighted spectrum flux is 6670.887 May 15 15:01: Total unweighted spectrum flux is 2059.56 May 15 15:01: EXTRACT: Aperture 2 variance spectrum bias factor is 0.3087385 May 15 15:02: EXTRACT: WARNING - Aperture 104: May 15 15:02: Total variance weighted spectrum flux is 10279.58 May 15 15:02: Total unweighted spectrum flux is 4747.023 May 15 15:02: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4617915 May 15 15:02: EXTRACT: WARNING - Aperture 105: May 15 15:02: Total variance weighted spectrum flux is 10375.67 May 15 15:02: Total unweighted spectrum flux is 5030.426 May 15 15:02: EXTRACT: Aperture 105 variance spectrum bias factor is 0.4848292 May 15 15:02: EXTRACT: WARNING - Aperture 106: May 15 15:02: Total variance weighted spectrum flux is 8994.893 May 15 15:02: Total unweighted spectrum flux is 3677.842 May 15 15:02: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4088811 May 15 15:02: EXTRACT: WARNING - Aperture 107: May 15 15:02: Total variance weighted spectrum flux is 11337.64 May 15 15:02: Total unweighted spectrum flux is 3984.295 May 15 15:02: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3514218 May 15 15:02: EXTRACT: WARNING - Aperture 109: May 15 15:02: Total variance weighted spectrum flux is 5296.44 May 15 15:02: Total unweighted spectrum flux is 2499.971 May 15 15:02: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4720097 May 15 15:02: EXTRACT: WARNING - Aperture 111: May 15 15:02: Total variance weighted spectrum flux is 4874.68 May 15 15:02: Total unweighted spectrum flux is 882.4541 May 15 15:02: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1810281 May 15 15:02: EXTRACT: WARNING - Aperture 112: May 15 15:02: Total variance weighted spectrum flux is 9497.153 May 15 15:02: Total unweighted spectrum flux is 2793.569 May 15 15:02: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2941481 May 15 15:02: EXTRACT: WARNING - Aperture 113: May 15 15:02: Total variance weighted spectrum flux is 4927.19 May 15 15:02: Total unweighted spectrum flux is 1735.774 May 15 15:02: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3522846 May 15 15:02: EXTRACT: WARNING - Aperture 114: May 15 15:02: Total variance weighted spectrum flux is 6196.981 May 15 15:02: Total unweighted spectrum flux is 1357.868 May 15 15:02: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2191176 Resampling the object by a factor of 4 in the y direction... 140514.0035 Magnify image 140514.0035 to image 140514.0035. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140514.0035,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0035 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0035 -> noscat140514.0035 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 15:03: EXTRACT: WARNING - Aperture 105: May 15 15:03: Total variance weighted spectrum flux is 4573.57 May 15 15:03: Total unweighted spectrum flux is 1208.608 May 15 15:03: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2642592 May 15 15:03: EXTRACT: WARNING - Aperture 110: May 15 15:03: Total variance weighted spectrum flux is 6884.466 May 15 15:03: Total unweighted spectrum flux is 3252.647 May 15 15:03: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4724618 May 15 15:03: EXTRACT: WARNING - Aperture 113: May 15 15:03: Total variance weighted spectrum flux is 5366.523 May 15 15:03: Total unweighted spectrum flux is 2172.294 May 15 15:03: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4047861 May 15 15:03: EXTRACT: WARNING - Aperture 115: May 15 15:03: Total variance weighted spectrum flux is 3401.908 May 15 15:03: Total unweighted spectrum flux is 1058.343 May 15 15:03: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3111027 Resampling the object by a factor of 4 in the y direction... 140514.0036 Magnify image 140514.0036 to image 140514.0036. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140514.0036,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140514.0036 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140514.0036 -> noscat140514.0036 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... May 15 15:03: EXTRACT: WARNING - Aperture 113: May 15 15:03: Total variance weighted spectrum flux is 6454.649 May 15 15:03: Total unweighted spectrum flux is 2371.714 May 15 15:03: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3674427 May 15 15:03: EXTRACT: WARNING - Aperture 114: May 15 15:03: Total variance weighted spectrum flux is 3981.606 May 15 15:03: Total unweighted spectrum flux is 1627.248 May 15 15:03: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4086913 add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,REFSPEC1 = EchelleThAr.0018.ec.fits EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,REFSPEC1 = EchelleThAr.0019.ec.fits EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.ec.fits updated add EchelleThAr.0024.ec.fits,REFSPEC1 = EchelleThAr.0024.ec.fits EchelleThAr.0024.ec.fits updated add EchelleThAr.0028.ec.fits,REFSPEC1 = EchelleThAr.0028.ec.fits EchelleThAr.0028.ec.fits updated add EchelleThAr.0032.ec.fits,REFSPEC1 = EchelleThAr.0032.ec.fits EchelleThAr.0032.ec.fits updated add EchelleThAr.0037.ec.fits,REFSPEC1 = EchelleThAr.0037.ec.fits EchelleThAr.0037.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 -> 05:05:23.126039 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 05:08:14.584731 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 05:11:17.070219 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 05:14:19.350218 EchelleThAr.0020.ec.fits updated add EchelleThAr.0024.ec.fits,UTMIDDLE = 0 EchelleThAr.0024.ec.fits updated EchelleThAr.0024.ec.fits,UTMIDDLE: 0 -> 06:59:52.120185 EchelleThAr.0024.ec.fits updated add EchelleThAr.0028.ec.fits,UTMIDDLE = 0 EchelleThAr.0028.ec.fits updated EchelleThAr.0028.ec.fits,UTMIDDLE: 0 -> 08:16:27.477223 EchelleThAr.0028.ec.fits updated add EchelleThAr.0032.ec.fits,UTMIDDLE = 0 EchelleThAr.0032.ec.fits updated EchelleThAr.0032.ec.fits,UTMIDDLE: 0 -> 09:46:30.143197 EchelleThAr.0032.ec.fits updated add EchelleThAr.0037.ec.fits,UTMIDDLE = 0 EchelleThAr.0037.ec.fits updated EchelleThAr.0037.ec.fits,UTMIDDLE: 0 -> 11:24:32.000743 EchelleThAr.0037.ec.fits updated add 140514.0021.ec.fits,UTMIDDLE = 0 140514.0021.ec.fits updated 140514.0021.ec.fits,UTMIDDLE: 0 -> 05:58:01.942196 140514.0021.ec.fits updated add 140514.0022.ec.fits,UTMIDDLE = 0 140514.0022.ec.fits updated 140514.0022.ec.fits,UTMIDDLE: 0 -> 06:22:48.961820 140514.0022.ec.fits updated add 140514.0023.ec.fits,UTMIDDLE = 0 140514.0023.ec.fits updated 140514.0023.ec.fits,UTMIDDLE: 0 -> 06:46:42.604746 140514.0023.ec.fits updated add 140514.0025.ec.fits,UTMIDDLE = 0 140514.0025.ec.fits updated 140514.0025.ec.fits,UTMIDDLE: 0 -> 07:14:36.813824 140514.0025.ec.fits updated add 140514.0026.ec.fits,UTMIDDLE = 0 140514.0026.ec.fits updated 140514.0026.ec.fits,UTMIDDLE: 0 -> 07:38:49.222801 140514.0026.ec.fits updated add 140514.0027.ec.fits,UTMIDDLE = 0 140514.0027.ec.fits updated 140514.0027.ec.fits,UTMIDDLE: 0 -> 08:03:17.010802 140514.0027.ec.fits updated add 140514.0029.ec.fits,UTMIDDLE = 0 140514.0029.ec.fits updated 140514.0029.ec.fits,UTMIDDLE: 0 -> 08:33:44.219378 140514.0029.ec.fits updated add 140514.0030.ec.fits,UTMIDDLE = 0 140514.0030.ec.fits updated 140514.0030.ec.fits,UTMIDDLE: 0 -> 09:02:32.074874 140514.0030.ec.fits updated add 140514.0031.ec.fits,UTMIDDLE = 0 140514.0031.ec.fits updated 140514.0031.ec.fits,UTMIDDLE: 0 -> 09:30:48.594926 140514.0031.ec.fits updated add 140514.0033.ec.fits,UTMIDDLE = 0 140514.0033.ec.fits updated 140514.0033.ec.fits,UTMIDDLE: 0 -> 10:03:25.984894 140514.0033.ec.fits updated add 140514.0034.ec.fits,UTMIDDLE = 0 140514.0034.ec.fits updated 140514.0034.ec.fits,UTMIDDLE: 0 -> 10:31:13.275396 140514.0034.ec.fits updated add 140514.0035.ec.fits,UTMIDDLE = 0 140514.0035.ec.fits updated 140514.0035.ec.fits,UTMIDDLE: 0 -> 10:53:58.160699 140514.0035.ec.fits updated add 140514.0036.ec.fits,UTMIDDLE = 0 140514.0036.ec.fits updated 140514.0036.ec.fits,UTMIDDLE: 0 -> 11:11:50.510172 140514.0036.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 140514.0021.ec.fits 2456791.74863 2456791.74938 2456791 140514.0022.ec.fits 2456791.76584 2456791.76649 2456791 140514.0023.ec.fits 2456791.78244 2456791.78251 2456791 140514.0025.ec.fits 2456791.80181 2456791.80200 2456791 140514.0026.ec.fits 2456791.81863 2456791.81934 2456791 140514.0027.ec.fits 2456791.83561 2456791.83636 2456791 140514.0029.ec.fits 2456791.85676 2456791.85706 2456791 140514.0030.ec.fits 2456791.87676 2456791.87752 2456791 140514.0031.ec.fits 2456791.89640 2456791.89747 2456791 140514.0033.ec.fits 2456791.91905 2456791.91949 2456791 140514.0034.ec.fits 2456791.93835 2456791.93926 2456791 140514.0035.ec.fits 2456791.95415 2456791.95447 2456791 140514.0036.ec.fits 2456791.96656 2456791.96686 2456791 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Thu 15:03:51 15-May-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 979/2055 979/979 -3.85 28.2 4.98E-5 0.0171 EchelleThAr.0018.ec 1974/2055 1974/1974 -3.89 28.6 5.04E-5 0.00955 EchelleThAr.0019.ec 1971/2055 1971/1971 -3.93 28.8 5.08E-5 0.0116 EchelleThAr.0020.ec 1967/2055 1967/1967 -4.01 29.4 5.19E-5 0.00984 EchelleThAr.0024.ec 1963/2055 1963/1963 -4.48 32.9 5.80E-5 0.0106 EchelleThAr.0028.ec 1945/2055 1945/1945 -4.76 35. 6.17E-5 0.00959 EchelleThAr.0032.ec 1950/2055 1950/1950 -4.88 35.8 6.32E-5 0.0103 EchelleThAr.0037.ec 1965/2055 1965/1965 -5.18 38. 6.70E-5 0.00976 [140514.0021.ec] refspec1='EchelleThAr.0020.ec 0.58586967' [140514.0021.ec] refspec2='EchelleThAr.0024.ec 0.4141303' [140514.0022.ec] refspec1='EchelleThAr.0020.ec 0.35105622' [140514.0022.ec] refspec2='EchelleThAr.0024.ec 0.64894378' [140514.0023.ec] refspec1='EchelleThAr.0020.ec 0.12467142' [140514.0023.ec] refspec2='EchelleThAr.0024.ec 0.8753286' [140514.0025.ec] refspec1='EchelleThAr.0024.ec 0.80748099' [140514.0025.ec] refspec2='EchelleThAr.0028.ec 0.19251902' [140514.0026.ec] refspec1='EchelleThAr.0024.ec 0.49142089' [140514.0026.ec] refspec2='EchelleThAr.0028.ec 0.50857913' [140514.0027.ec] refspec1='EchelleThAr.0024.ec 0.17201415' [140514.0027.ec] refspec2='EchelleThAr.0028.ec 0.82798588' [140514.0029.ec] refspec1='EchelleThAr.0028.ec 0.80810547' [140514.0029.ec] refspec2='EchelleThAr.0032.ec 0.19189455' [140514.0030.ec] refspec1='EchelleThAr.0028.ec 0.4882901' [140514.0030.ec] refspec2='EchelleThAr.0032.ec 0.51170987' [140514.0031.ec] refspec1='EchelleThAr.0028.ec 0.17427476' [140514.0031.ec] refspec2='EchelleThAr.0032.ec 0.82572526' [140514.0033.ec] refspec1='EchelleThAr.0032.ec 0.82729238' [140514.0033.ec] refspec2='EchelleThAr.0037.ec 0.17270763' [140514.0034.ec] refspec1='EchelleThAr.0032.ec 0.54382908' [140514.0034.ec] refspec2='EchelleThAr.0037.ec 0.45617089' [140514.0035.ec] refspec1='EchelleThAr.0032.ec 0.31177905' [140514.0035.ec] refspec2='EchelleThAr.0037.ec 0.68822092' [140514.0036.ec] refspec1='EchelleThAr.0032.ec 0.1294643' [140514.0036.ec] refspec2='EchelleThAr.0037.ec 0.87053567' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0019.ec] refspec1='EchelleThAr.0019.ec' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0024.ec] refspec1='EchelleThAr.0024.ec' [EchelleThAr.0028.ec] refspec1='EchelleThAr.0028.ec' [EchelleThAr.0032.ec] refspec1='EchelleThAr.0032.ec' [EchelleThAr.0037.ec] refspec1='EchelleThAr.0037.ec' 140514.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.58586967' 140514.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.4141303' 140514.0021.ec.fits: ap = 1, w1 = 10811.2, w2 = 10582.99, dw = -0.13831, nw = 1651 140514.0021.ec.fits: ap = 2, w1 = 10611., w2 = 10387.02, dw = -0.13575, nw = 1651 140514.0021.ec.fits: ap = 3, w1 = 10418.09, w2 = 10198.18, dw = -0.13328, nw = 1651 140514.0021.ec.fits: ap = 4, w1 = 10232.07, w2 = 10016.09, dw = -0.1309, nw = 1651 140514.0021.ec.fits: ap = 5, w1 = 10052.57, w2 = 9840.383, dw = -0.1286, nw = 1651 140514.0021.ec.fits: ap = 6, w1 = 9879.263, w2 = 9670.737, dw = -0.12638, nw = 1651 140514.0021.ec.fits: ap = 7, w1 = 9711.83, w2 = 9506.841, dw = -0.12424, nw = 1651 140514.0021.ec.fits: ap = 8, w1 = 9549.979, w2 = 9348.408, dw = -0.12216, nw = 1651 140514.0021.ec.fits: ap = 9, w1 = 9393.434, w2 = 9195.17, dw = -0.12016, nw = 1651 140514.0021.ec.fits: ap = 10, w1 = 9241.939, w2 = 9046.875, dw = -0.11822, nw = 1651 140514.0021.ec.fits: ap = 11, w1 = 9095.254, w2 = 8903.287, dw = -0.11634, nw = 1651 140514.0021.ec.fits: ap = 12, w1 = 8953.152, w2 = 8764.187, dw = -0.11452, nw = 1651 140514.0021.ec.fits: ap = 13, w1 = 8815.423, w2 = 8629.366, dw = -0.11276, nw = 1651 140514.0021.ec.fits: ap = 14, w1 = 8681.867, w2 = 8498.631, dw = -0.11105, nw = 1651 140514.0021.ec.fits: ap = 15, w1 = 8552.298, w2 = 8371.799, dw = -0.10939, nw = 1651 140514.0021.ec.fits: ap = 16, w1 = 8426.54, w2 = 8248.697, dw = -0.10778, nw = 1651 140514.0021.ec.fits: ap = 17, w1 = 8304.427, w2 = 8129.163, dw = -0.10622, nw = 1651 140514.0021.ec.fits: ap = 18, w1 = 8185.803, w2 = 8013.044, dw = -0.1047, nw = 1651 140514.0021.ec.fits: ap = 19, w1 = 8070.521, w2 = 7900.197, dw = -0.10323, nw = 1651 140514.0021.ec.fits: ap = 20, w1 = 7958.44, w2 = 7790.484, dw = -0.10179, nw = 1651 140514.0021.ec.fits: ap = 21, w1 = 7849.431, w2 = 7683.776, dw = -0.1004, nw = 1651 140514.0021.ec.fits: ap = 22, w1 = 7743.368, w2 = 7579.954, dw = -0.09904, nw = 1651 140514.0021.ec.fits: ap = 23, w1 = 7640.133, w2 = 7478.899, dw = -0.09772, nw = 1651 140514.0021.ec.fits: ap = 24, w1 = 7539.615, w2 = 7380.504, dw = -0.09643, nw = 1651 140514.0021.ec.fits: ap = 25, w1 = 7441.707, w2 = 7284.664, dw = -0.09518, nw = 1651 140514.0021.ec.fits: ap = 26, w1 = 7346.31, w2 = 7191.282, dw = -0.09396, nw = 1651 140514.0021.ec.fits: ap = 27, w1 = 7253.329, w2 = 7100.264, dw = -0.09277, nw = 1651 140514.0021.ec.fits: ap = 28, w1 = 7162.671, w2 = 7011.521, dw = -0.09161, nw = 1651 140514.0021.ec.fits: ap = 29, w1 = 7074.253, w2 = 6924.97, dw = -0.09047, nw = 1651 140514.0021.ec.fits: ap = 30, w1 = 6987.99, w2 = 6840.53, dw = -0.08937, nw = 1651 140514.0021.ec.fits: ap = 31, w1 = 6903.807, w2 = 6758.124, dw = -0.08829, nw = 1651 140514.0021.ec.fits: ap = 32, w1 = 6821.627, w2 = 6677.681, dw = -0.08724, nw = 1651 140514.0021.ec.fits: ap = 33, w1 = 6741.382, w2 = 6599.13, dw = -0.08621, nw = 1651 140514.0021.ec.fits: ap = 34, w1 = 6663.002, w2 = 6522.406, dw = -0.08521, nw = 1651 140514.0021.ec.fits: ap = 35, w1 = 6586.426, w2 = 6447.447, dw = -0.08423, nw = 1651 140514.0021.ec.fits: ap = 36, w1 = 6511.589, w2 = 6374.191, dw = -0.08327, nw = 1651 140514.0021.ec.fits: ap = 37, w1 = 6438.433, w2 = 6302.581, dw = -0.08233, nw = 1651 140514.0021.ec.fits: ap = 38, w1 = 6366.904, w2 = 6232.562, dw = -0.08142, nw = 1651 140514.0021.ec.fits: ap = 39, w1 = 6296.946, w2 = 6164.083, dw = -0.08052, nw = 1651 140514.0021.ec.fits: ap = 40, w1 = 6228.51, w2 = 6097.092, dw = -0.07965, nw = 1651 140514.0021.ec.fits: ap = 41, w1 = 6161.545, w2 = 6031.542, dw = -0.07879, nw = 1651 140514.0021.ec.fits: ap = 42, w1 = 6096.005, w2 = 5967.386, dw = -0.07795, nw = 1651 140514.0021.ec.fits: ap = 43, w1 = 6031.845, w2 = 5904.581, dw = -0.07713, nw = 1651 140514.0021.ec.fits: ap = 44, w1 = 5969.021, w2 = 5843.085, dw = -0.07632, nw = 1651 140514.0021.ec.fits: ap = 45, w1 = 5907.493, w2 = 5782.857, dw = -0.07554, nw = 1651 140514.0021.ec.fits: ap = 46, w1 = 5847.221, w2 = 5723.858, dw = -0.07477, nw = 1651 140514.0021.ec.fits: ap = 47, w1 = 5788.166, w2 = 5666.051, dw = -0.07401, nw = 1651 140514.0021.ec.fits: ap = 48, w1 = 5730.293, w2 = 5609.4, dw = -0.07327, nw = 1651 140514.0021.ec.fits: ap = 49, w1 = 5673.565, w2 = 5553.871, dw = -0.07254, nw = 1651 140514.0021.ec.fits: ap = 50, w1 = 5617.95, w2 = 5499.431, dw = -0.07183, nw = 1651 140514.0021.ec.fits: ap = 51, w1 = 5563.415, w2 = 5446.049, dw = -0.07113, nw = 1651 140514.0021.ec.fits: ap = 52, w1 = 5509.928, w2 = 5393.692, dw = -0.07045, nw = 1651 140514.0021.ec.fits: ap = 53, w1 = 5457.461, w2 = 5342.334, dw = -0.06977, nw = 1651 140514.0021.ec.fits: ap = 54, w1 = 5405.983, w2 = 5291.944, dw = -0.06911, nw = 1651 140514.0021.ec.fits: ap = 55, w1 = 5355.468, w2 = 5242.496, dw = -0.06847, nw = 1651 140514.0021.ec.fits: ap = 56, w1 = 5305.888, w2 = 5193.964, dw = -0.06783, nw = 1651 140514.0021.ec.fits: ap = 57, w1 = 5257.218, w2 = 5146.323, dw = -0.06721, nw = 1651 140514.0021.ec.fits: ap = 58, w1 = 5209.433, w2 = 5099.547, dw = -0.0666, nw = 1651 140514.0021.ec.fits: ap = 59, w1 = 5162.509, w2 = 5053.615, dw = -0.066, nw = 1651 140514.0021.ec.fits: ap = 60, w1 = 5116.423, w2 = 5008.503, dw = -0.06541, nw = 1651 140514.0021.ec.fits: ap = 61, w1 = 5071.153, w2 = 4964.19, dw = -0.06483, nw = 1651 140514.0021.ec.fits: ap = 62, w1 = 5026.677, w2 = 4920.654, dw = -0.06426, nw = 1651 140514.0021.ec.fits: ap = 63, w1 = 4982.975, w2 = 4877.875, dw = -0.0637, nw = 1651 140514.0021.ec.fits: ap = 64, w1 = 4940.026, w2 = 4835.834, dw = -0.06315, nw = 1651 140514.0021.ec.fits: ap = 65, w1 = 4897.811, w2 = 4794.512, dw = -0.06261, nw = 1651 140514.0021.ec.fits: ap = 66, w1 = 4856.312, w2 = 4753.89, dw = -0.06207, nw = 1651 140514.0021.ec.fits: ap = 67, w1 = 4815.51, w2 = 4713.951, dw = -0.06155, nw = 1651 140514.0021.ec.fits: ap = 68, w1 = 4775.389, w2 = 4674.678, dw = -0.06104, nw = 1651 140514.0021.ec.fits: ap = 69, w1 = 4735.931, w2 = 4636.054, dw = -0.06053, nw = 1651 140514.0021.ec.fits: ap = 70, w1 = 4697.12, w2 = 4598.063, dw = -0.06003, nw = 1651 140514.0021.ec.fits: ap = 71, w1 = 4658.939, w2 = 4560.69, dw = -0.05955, nw = 1651 140514.0021.ec.fits: ap = 72, w1 = 4621.375, w2 = 4523.92, dw = -0.05906, nw = 1651 140514.0021.ec.fits: ap = 73, w1 = 4584.412, w2 = 4487.738, dw = -0.05859, nw = 1651 140514.0021.ec.fits: ap = 74, w1 = 4548.036, w2 = 4452.131, dw = -0.05812, nw = 1651 140514.0021.ec.fits: ap = 75, w1 = 4512.232, w2 = 4417.085, dw = -0.05767, nw = 1651 140514.0021.ec.fits: ap = 76, w1 = 4476.988, w2 = 4382.586, dw = -0.05721, nw = 1651 140514.0021.ec.fits: ap = 77, w1 = 4442.29, w2 = 4348.622, dw = -0.05677, nw = 1651 140514.0021.ec.fits: ap = 78, w1 = 4408.127, w2 = 4315.18, dw = -0.05633, nw = 1651 140514.0021.ec.fits: ap = 79, w1 = 4374.485, w2 = 4282.25, dw = -0.0559, nw = 1651 140514.0021.ec.fits: ap = 80, w1 = 4341.353, w2 = 4249.819, dw = -0.05548, nw = 1651 140514.0021.ec.fits: ap = 81, w1 = 4308.72, w2 = 4217.875, dw = -0.05506, nw = 1651 140514.0021.ec.fits: ap = 82, w1 = 4276.573, w2 = 4186.408, dw = -0.05465, nw = 1651 140514.0021.ec.fits: ap = 83, w1 = 4244.903, w2 = 4155.408, dw = -0.05424, nw = 1651 140514.0021.ec.fits: ap = 84, w1 = 4213.699, w2 = 4124.863, dw = -0.05384, nw = 1651 140514.0021.ec.fits: ap = 85, w1 = 4182.95, w2 = 4094.765, dw = -0.05345, nw = 1651 140514.0021.ec.fits: ap = 86, w1 = 4152.647, w2 = 4065.102, dw = -0.05306, nw = 1651 140514.0021.ec.fits: ap = 87, w1 = 4122.78, w2 = 4035.867, dw = -0.05267, nw = 1651 140514.0021.ec.fits: ap = 88, w1 = 4093.34, w2 = 4007.049, dw = -0.0523, nw = 1651 140514.0021.ec.fits: ap = 89, w1 = 4064.318, w2 = 3978.641, dw = -0.05193, nw = 1651 140514.0021.ec.fits: ap = 90, w1 = 4035.704, w2 = 3950.632, dw = -0.05156, nw = 1651 140514.0021.ec.fits: ap = 91, w1 = 4007.491, w2 = 3923.015, dw = -0.0512, nw = 1651 140514.0021.ec.fits: ap = 92, w1 = 3979.67, w2 = 3895.782, dw = -0.05084, nw = 1651 140514.0021.ec.fits: ap = 93, w1 = 3952.232, w2 = 3868.925, dw = -0.05049, nw = 1651 140514.0021.ec.fits: ap = 94, w1 = 3925.171, w2 = 3842.435, dw = -0.05014, nw = 1651 140514.0021.ec.fits: ap = 95, w1 = 3898.477, w2 = 3816.306, dw = -0.0498, nw = 1651 140514.0021.ec.fits: ap = 96, w1 = 3872.145, w2 = 3790.531, dw = -0.04946, nw = 1651 140514.0021.ec.fits: ap = 97, w1 = 3846.166, w2 = 3765.101, dw = -0.04913, nw = 1651 140514.0021.ec.fits: ap = 98, w1 = 3820.533, w2 = 3740.01, dw = -0.0488, nw = 1651 140514.0021.ec.fits: ap = 99, w1 = 3795.24, w2 = 3715.252, dw = -0.04848, nw = 1651 140514.0021.ec.fits: ap = 100, w1 = 3770.28, w2 = 3690.819, dw = -0.04816, nw = 1651 140514.0021.ec.fits: ap = 101, w1 = 3745.647, w2 = 3666.707, dw = -0.04784, nw = 1651 140514.0021.ec.fits: ap = 102, w1 = 3721.334, w2 = 3642.907, dw = -0.04753, nw = 1651 140514.0021.ec.fits: ap = 103, w1 = 3697.334, w2 = 3619.415, dw = -0.04722, nw = 1651 140514.0021.ec.fits: ap = 104, w1 = 3673.642, w2 = 3596.223, dw = -0.04692, nw = 1651 140514.0021.ec.fits: ap = 105, w1 = 3650.252, w2 = 3573.328, dw = -0.04662, nw = 1651 140514.0021.ec.fits: ap = 106, w1 = 3627.159, w2 = 3550.722, dw = -0.04633, nw = 1651 140514.0021.ec.fits: ap = 107, w1 = 3604.355, w2 = 3528.401, dw = -0.04603, nw = 1651 140514.0021.ec.fits: ap = 108, w1 = 3581.838, w2 = 3506.358, dw = -0.04574, nw = 1651 140514.0021.ec.fits: ap = 109, w1 = 3559.599, w2 = 3484.59, dw = -0.04546, nw = 1651 140514.0021.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.091, dw = -0.04518, nw = 1651 140514.0021.ec.fits: ap = 111, w1 = 3515.943, w2 = 3441.855, dw = -0.0449, nw = 1651 140514.0021.ec.fits: ap = 112, w1 = 3494.514, w2 = 3420.879, dw = -0.04463, nw = 1651 140514.0021.ec.fits: ap = 113, w1 = 3473.344, w2 = 3400.156, dw = -0.04436, nw = 1651 140514.0021.ec.fits: ap = 114, w1 = 3452.43, w2 = 3379.684, dw = -0.04409, nw = 1651 140514.0021.ec.fits: ap = 115, w1 = 3431.767, w2 = 3359.456, dw = -0.04382, nw = 1651 140514.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.35105622' 140514.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.64894378' 140514.0022.ec.fits: ap = 1, w1 = 10811.19, w2 = 10582.97, dw = -0.13832, nw = 1651 140514.0022.ec.fits: ap = 2, w1 = 10611., w2 = 10387.01, dw = -0.13575, nw = 1651 140514.0022.ec.fits: ap = 3, w1 = 10418.08, w2 = 10198.17, dw = -0.13328, nw = 1651 140514.0022.ec.fits: ap = 4, w1 = 10232.06, w2 = 10016.07, dw = -0.1309, nw = 1651 140514.0022.ec.fits: ap = 5, w1 = 10052.56, w2 = 9840.369, dw = -0.1286, nw = 1651 140514.0022.ec.fits: ap = 6, w1 = 9879.254, w2 = 9670.723, dw = -0.12638, nw = 1651 140514.0022.ec.fits: ap = 7, w1 = 9711.821, w2 = 9506.827, dw = -0.12424, nw = 1651 140514.0022.ec.fits: ap = 8, w1 = 9549.97, w2 = 9348.395, dw = -0.12217, nw = 1651 140514.0022.ec.fits: ap = 9, w1 = 9393.425, w2 = 9195.157, dw = -0.12016, nw = 1651 140514.0022.ec.fits: ap = 10, w1 = 9241.93, w2 = 9046.862, dw = -0.11822, nw = 1651 140514.0022.ec.fits: ap = 11, w1 = 9095.244, w2 = 8903.275, dw = -0.11635, nw = 1651 140514.0022.ec.fits: ap = 12, w1 = 8953.142, w2 = 8764.174, dw = -0.11453, nw = 1651 140514.0022.ec.fits: ap = 13, w1 = 8815.413, w2 = 8629.354, dw = -0.11276, nw = 1651 140514.0022.ec.fits: ap = 14, w1 = 8681.857, w2 = 8498.619, dw = -0.11105, nw = 1651 140514.0022.ec.fits: ap = 15, w1 = 8552.288, w2 = 8371.787, dw = -0.10939, nw = 1651 140514.0022.ec.fits: ap = 16, w1 = 8426.53, w2 = 8248.685, dw = -0.10778, nw = 1651 140514.0022.ec.fits: ap = 17, w1 = 8304.417, w2 = 8129.151, dw = -0.10622, nw = 1651 140514.0022.ec.fits: ap = 18, w1 = 8185.793, w2 = 8013.033, dw = -0.1047, nw = 1651 140514.0022.ec.fits: ap = 19, w1 = 8070.51, w2 = 7900.185, dw = -0.10323, nw = 1651 140514.0022.ec.fits: ap = 20, w1 = 7958.43, w2 = 7790.472, dw = -0.10179, nw = 1651 140514.0022.ec.fits: ap = 21, w1 = 7849.421, w2 = 7683.765, dw = -0.1004, nw = 1651 140514.0022.ec.fits: ap = 22, w1 = 7743.358, w2 = 7579.942, dw = -0.09904, nw = 1651 140514.0022.ec.fits: ap = 23, w1 = 7640.123, w2 = 7478.888, dw = -0.09772, nw = 1651 140514.0022.ec.fits: ap = 24, w1 = 7539.605, w2 = 7380.493, dw = -0.09643, nw = 1651 140514.0022.ec.fits: ap = 25, w1 = 7441.697, w2 = 7284.653, dw = -0.09518, nw = 1651 140514.0022.ec.fits: ap = 26, w1 = 7346.3, w2 = 7191.271, dw = -0.09396, nw = 1651 140514.0022.ec.fits: ap = 27, w1 = 7253.319, w2 = 7100.253, dw = -0.09277, nw = 1651 140514.0022.ec.fits: ap = 28, w1 = 7162.662, w2 = 7011.511, dw = -0.09161, nw = 1651 140514.0022.ec.fits: ap = 29, w1 = 7074.243, w2 = 6924.959, dw = -0.09047, nw = 1651 140514.0022.ec.fits: ap = 30, w1 = 6987.981, w2 = 6840.519, dw = -0.08937, nw = 1651 140514.0022.ec.fits: ap = 31, w1 = 6903.797, w2 = 6758.114, dw = -0.08829, nw = 1651 140514.0022.ec.fits: ap = 32, w1 = 6821.618, w2 = 6677.67, dw = -0.08724, nw = 1651 140514.0022.ec.fits: ap = 33, w1 = 6741.373, w2 = 6599.12, dw = -0.08621, nw = 1651 140514.0022.ec.fits: ap = 34, w1 = 6662.994, w2 = 6522.396, dw = -0.08521, nw = 1651 140514.0022.ec.fits: ap = 35, w1 = 6586.417, w2 = 6447.437, dw = -0.08423, nw = 1651 140514.0022.ec.fits: ap = 36, w1 = 6511.58, w2 = 6374.181, dw = -0.08327, nw = 1651 140514.0022.ec.fits: ap = 37, w1 = 6438.425, w2 = 6302.571, dw = -0.08234, nw = 1651 140514.0022.ec.fits: ap = 38, w1 = 6366.895, w2 = 6232.552, dw = -0.08142, nw = 1651 140514.0022.ec.fits: ap = 39, w1 = 6296.938, w2 = 6164.073, dw = -0.08052, nw = 1651 140514.0022.ec.fits: ap = 40, w1 = 6228.501, w2 = 6097.082, dw = -0.07965, nw = 1651 140514.0022.ec.fits: ap = 41, w1 = 6161.537, w2 = 6031.532, dw = -0.07879, nw = 1651 140514.0022.ec.fits: ap = 42, w1 = 6095.997, w2 = 5967.376, dw = -0.07795, nw = 1651 140514.0022.ec.fits: ap = 43, w1 = 6031.837, w2 = 5904.572, dw = -0.07713, nw = 1651 140514.0022.ec.fits: ap = 44, w1 = 5969.013, w2 = 5843.076, dw = -0.07633, nw = 1651 140514.0022.ec.fits: ap = 45, w1 = 5907.485, w2 = 5782.848, dw = -0.07554, nw = 1651 140514.0022.ec.fits: ap = 46, w1 = 5847.213, w2 = 5723.849, dw = -0.07477, nw = 1651 140514.0022.ec.fits: ap = 47, w1 = 5788.158, w2 = 5666.042, dw = -0.07401, nw = 1651 140514.0022.ec.fits: ap = 48, w1 = 5730.285, w2 = 5609.391, dw = -0.07327, nw = 1651 140514.0022.ec.fits: ap = 49, w1 = 5673.558, w2 = 5553.862, dw = -0.07254, nw = 1651 140514.0022.ec.fits: ap = 50, w1 = 5617.943, w2 = 5499.422, dw = -0.07183, nw = 1651 140514.0022.ec.fits: ap = 51, w1 = 5563.407, w2 = 5446.04, dw = -0.07113, nw = 1651 140514.0022.ec.fits: ap = 52, w1 = 5509.921, w2 = 5393.684, dw = -0.07045, nw = 1651 140514.0022.ec.fits: ap = 53, w1 = 5457.454, w2 = 5342.325, dw = -0.06977, nw = 1651 140514.0022.ec.fits: ap = 54, w1 = 5405.976, w2 = 5291.935, dw = -0.06912, nw = 1651 140514.0022.ec.fits: ap = 55, w1 = 5355.461, w2 = 5242.488, dw = -0.06847, nw = 1651 140514.0022.ec.fits: ap = 56, w1 = 5305.881, w2 = 5193.956, dw = -0.06783, nw = 1651 140514.0022.ec.fits: ap = 57, w1 = 5257.211, w2 = 5146.314, dw = -0.06721, nw = 1651 140514.0022.ec.fits: ap = 58, w1 = 5209.426, w2 = 5099.539, dw = -0.0666, nw = 1651 140514.0022.ec.fits: ap = 59, w1 = 5162.502, w2 = 5053.607, dw = -0.066, nw = 1651 140514.0022.ec.fits: ap = 60, w1 = 5116.416, w2 = 5008.495, dw = -0.06541, nw = 1651 140514.0022.ec.fits: ap = 61, w1 = 5071.146, w2 = 4964.182, dw = -0.06483, nw = 1651 140514.0022.ec.fits: ap = 62, w1 = 5026.67, w2 = 4920.646, dw = -0.06426, nw = 1651 140514.0022.ec.fits: ap = 63, w1 = 4982.968, w2 = 4877.868, dw = -0.0637, nw = 1651 140514.0022.ec.fits: ap = 64, w1 = 4940.019, w2 = 4835.827, dw = -0.06315, nw = 1651 140514.0022.ec.fits: ap = 65, w1 = 4897.805, w2 = 4794.505, dw = -0.06261, nw = 1651 140514.0022.ec.fits: ap = 66, w1 = 4856.306, w2 = 4753.883, dw = -0.06207, nw = 1651 140514.0022.ec.fits: ap = 67, w1 = 4815.504, w2 = 4713.944, dw = -0.06155, nw = 1651 140514.0022.ec.fits: ap = 68, w1 = 4775.383, w2 = 4674.671, dw = -0.06104, nw = 1651 140514.0022.ec.fits: ap = 69, w1 = 4735.925, w2 = 4636.047, dw = -0.06053, nw = 1651 140514.0022.ec.fits: ap = 70, w1 = 4697.113, w2 = 4598.056, dw = -0.06003, nw = 1651 140514.0022.ec.fits: ap = 71, w1 = 4658.933, w2 = 4560.683, dw = -0.05955, nw = 1651 140514.0022.ec.fits: ap = 72, w1 = 4621.369, w2 = 4523.913, dw = -0.05906, nw = 1651 140514.0022.ec.fits: ap = 73, w1 = 4584.406, w2 = 4487.732, dw = -0.05859, nw = 1651 140514.0022.ec.fits: ap = 74, w1 = 4548.03, w2 = 4452.125, dw = -0.05812, nw = 1651 140514.0022.ec.fits: ap = 75, w1 = 4512.226, w2 = 4417.078, dw = -0.05767, nw = 1651 140514.0022.ec.fits: ap = 76, w1 = 4476.982, w2 = 4382.58, dw = -0.05721, nw = 1651 140514.0022.ec.fits: ap = 77, w1 = 4442.285, w2 = 4348.615, dw = -0.05677, nw = 1651 140514.0022.ec.fits: ap = 78, w1 = 4408.121, w2 = 4315.174, dw = -0.05633, nw = 1651 140514.0022.ec.fits: ap = 79, w1 = 4374.479, w2 = 4282.244, dw = -0.0559, nw = 1651 140514.0022.ec.fits: ap = 80, w1 = 4341.347, w2 = 4249.812, dw = -0.05548, nw = 1651 140514.0022.ec.fits: ap = 81, w1 = 4308.714, w2 = 4217.869, dw = -0.05506, nw = 1651 140514.0022.ec.fits: ap = 82, w1 = 4276.567, w2 = 4186.402, dw = -0.05465, nw = 1651 140514.0022.ec.fits: ap = 83, w1 = 4244.897, w2 = 4155.401, dw = -0.05424, nw = 1651 140514.0022.ec.fits: ap = 84, w1 = 4213.693, w2 = 4124.857, dw = -0.05384, nw = 1651 140514.0022.ec.fits: ap = 85, w1 = 4182.944, w2 = 4094.758, dw = -0.05345, nw = 1651 140514.0022.ec.fits: ap = 86, w1 = 4152.641, w2 = 4065.096, dw = -0.05306, nw = 1651 140514.0022.ec.fits: ap = 87, w1 = 4122.774, w2 = 4035.86, dw = -0.05267, nw = 1651 140514.0022.ec.fits: ap = 88, w1 = 4093.334, w2 = 4007.043, dw = -0.0523, nw = 1651 140514.0022.ec.fits: ap = 89, w1 = 4064.311, w2 = 3978.634, dw = -0.05193, nw = 1651 140514.0022.ec.fits: ap = 90, w1 = 4035.698, w2 = 3950.625, dw = -0.05156, nw = 1651 140514.0022.ec.fits: ap = 91, w1 = 4007.484, w2 = 3923.008, dw = -0.0512, nw = 1651 140514.0022.ec.fits: ap = 92, w1 = 3979.663, w2 = 3895.775, dw = -0.05084, nw = 1651 140514.0022.ec.fits: ap = 93, w1 = 3952.225, w2 = 3868.917, dw = -0.05049, nw = 1651 140514.0022.ec.fits: ap = 94, w1 = 3925.164, w2 = 3842.428, dw = -0.05014, nw = 1651 140514.0022.ec.fits: ap = 95, w1 = 3898.471, w2 = 3816.299, dw = -0.0498, nw = 1651 140514.0022.ec.fits: ap = 96, w1 = 3872.138, w2 = 3790.523, dw = -0.04946, nw = 1651 140514.0022.ec.fits: ap = 97, w1 = 3846.159, w2 = 3765.093, dw = -0.04913, nw = 1651 140514.0022.ec.fits: ap = 98, w1 = 3820.526, w2 = 3740.001, dw = -0.0488, nw = 1651 140514.0022.ec.fits: ap = 99, w1 = 3795.234, w2 = 3715.243, dw = -0.04848, nw = 1651 140514.0022.ec.fits: ap = 100, w1 = 3770.274, w2 = 3690.81, dw = -0.04816, nw = 1651 140514.0022.ec.fits: ap = 101, w1 = 3745.64, w2 = 3666.697, dw = -0.04784, nw = 1651 140514.0022.ec.fits: ap = 102, w1 = 3721.327, w2 = 3642.897, dw = -0.04753, nw = 1651 140514.0022.ec.fits: ap = 103, w1 = 3697.327, w2 = 3619.404, dw = -0.04723, nw = 1651 140514.0022.ec.fits: ap = 104, w1 = 3673.635, w2 = 3596.213, dw = -0.04692, nw = 1651 140514.0022.ec.fits: ap = 105, w1 = 3650.245, w2 = 3573.317, dw = -0.04662, nw = 1651 140514.0022.ec.fits: ap = 106, w1 = 3627.151, w2 = 3550.71, dw = -0.04633, nw = 1651 140514.0022.ec.fits: ap = 107, w1 = 3604.348, w2 = 3528.389, dw = -0.04604, nw = 1651 140514.0022.ec.fits: ap = 108, w1 = 3581.83, w2 = 3506.346, dw = -0.04575, nw = 1651 140514.0022.ec.fits: ap = 109, w1 = 3559.592, w2 = 3484.577, dw = -0.04546, nw = 1651 140514.0022.ec.fits: ap = 110, w1 = 3537.629, w2 = 3463.077, dw = -0.04518, nw = 1651 140514.0022.ec.fits: ap = 111, w1 = 3515.935, w2 = 3441.841, dw = -0.04491, nw = 1651 140514.0022.ec.fits: ap = 112, w1 = 3494.506, w2 = 3420.864, dw = -0.04463, nw = 1651 140514.0022.ec.fits: ap = 113, w1 = 3473.336, w2 = 3400.141, dw = -0.04436, nw = 1651 140514.0022.ec.fits: ap = 114, w1 = 3452.422, w2 = 3379.667, dw = -0.04409, nw = 1651 140514.0022.ec.fits: ap = 115, w1 = 3431.759, w2 = 3359.439, dw = -0.04383, nw = 1651 140514.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.12467142' 140514.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.8753286' 140514.0023.ec.fits: ap = 1, w1 = 10811.18, w2 = 10582.95, dw = -0.13832, nw = 1651 140514.0023.ec.fits: ap = 2, w1 = 10610.99, w2 = 10386.99, dw = -0.13576, nw = 1651 140514.0023.ec.fits: ap = 3, w1 = 10418.08, w2 = 10198.15, dw = -0.13329, nw = 1651 140514.0023.ec.fits: ap = 4, w1 = 10232.05, w2 = 10016.06, dw = -0.1309, nw = 1651 140514.0023.ec.fits: ap = 5, w1 = 10052.55, w2 = 9840.355, dw = -0.12861, nw = 1651 140514.0023.ec.fits: ap = 6, w1 = 9879.245, w2 = 9670.709, dw = -0.12639, nw = 1651 140514.0023.ec.fits: ap = 7, w1 = 9711.813, w2 = 9506.814, dw = -0.12424, nw = 1651 140514.0023.ec.fits: ap = 8, w1 = 9549.961, w2 = 9348.382, dw = -0.12217, nw = 1651 140514.0023.ec.fits: ap = 9, w1 = 9393.416, w2 = 9195.144, dw = -0.12016, nw = 1651 140514.0023.ec.fits: ap = 10, w1 = 9241.92, w2 = 9046.849, dw = -0.11822, nw = 1651 140514.0023.ec.fits: ap = 11, w1 = 9095.235, w2 = 8903.262, dw = -0.11635, nw = 1651 140514.0023.ec.fits: ap = 12, w1 = 8953.133, w2 = 8764.163, dw = -0.11453, nw = 1651 140514.0023.ec.fits: ap = 13, w1 = 8815.403, w2 = 8629.343, dw = -0.11276, nw = 1651 140514.0023.ec.fits: ap = 14, w1 = 8681.847, w2 = 8498.608, dw = -0.11105, nw = 1651 140514.0023.ec.fits: ap = 15, w1 = 8552.278, w2 = 8371.776, dw = -0.1094, nw = 1651 140514.0023.ec.fits: ap = 16, w1 = 8426.52, w2 = 8248.674, dw = -0.10779, nw = 1651 140514.0023.ec.fits: ap = 17, w1 = 8304.407, w2 = 8129.14, dw = -0.10622, nw = 1651 140514.0023.ec.fits: ap = 18, w1 = 8185.783, w2 = 8013.022, dw = -0.1047, nw = 1651 140514.0023.ec.fits: ap = 19, w1 = 8070.501, w2 = 7900.174, dw = -0.10323, nw = 1651 140514.0023.ec.fits: ap = 20, w1 = 7958.42, w2 = 7790.461, dw = -0.10179, nw = 1651 140514.0023.ec.fits: ap = 21, w1 = 7849.411, w2 = 7683.754, dw = -0.1004, nw = 1651 140514.0023.ec.fits: ap = 22, w1 = 7743.348, w2 = 7579.931, dw = -0.09904, nw = 1651 140514.0023.ec.fits: ap = 23, w1 = 7640.113, w2 = 7478.877, dw = -0.09772, nw = 1651 140514.0023.ec.fits: ap = 24, w1 = 7539.595, w2 = 7380.482, dw = -0.09643, nw = 1651 140514.0023.ec.fits: ap = 25, w1 = 7441.688, w2 = 7284.642, dw = -0.09518, nw = 1651 140514.0023.ec.fits: ap = 26, w1 = 7346.291, w2 = 7191.26, dw = -0.09396, nw = 1651 140514.0023.ec.fits: ap = 27, w1 = 7253.309, w2 = 7100.243, dw = -0.09277, nw = 1651 140514.0023.ec.fits: ap = 28, w1 = 7162.652, w2 = 7011.5, dw = -0.09161, nw = 1651 140514.0023.ec.fits: ap = 29, w1 = 7074.234, w2 = 6924.949, dw = -0.09048, nw = 1651 140514.0023.ec.fits: ap = 30, w1 = 6987.972, w2 = 6840.509, dw = -0.08937, nw = 1651 140514.0023.ec.fits: ap = 31, w1 = 6903.788, w2 = 6758.104, dw = -0.08829, nw = 1651 140514.0023.ec.fits: ap = 32, w1 = 6821.609, w2 = 6677.661, dw = -0.08724, nw = 1651 140514.0023.ec.fits: ap = 33, w1 = 6741.364, w2 = 6599.11, dw = -0.08621, nw = 1651 140514.0023.ec.fits: ap = 34, w1 = 6662.985, w2 = 6522.386, dw = -0.08521, nw = 1651 140514.0023.ec.fits: ap = 35, w1 = 6586.408, w2 = 6447.427, dw = -0.08423, nw = 1651 140514.0023.ec.fits: ap = 36, w1 = 6511.571, w2 = 6374.171, dw = -0.08327, nw = 1651 140514.0023.ec.fits: ap = 37, w1 = 6438.416, w2 = 6302.561, dw = -0.08234, nw = 1651 140514.0023.ec.fits: ap = 38, w1 = 6366.887, w2 = 6232.542, dw = -0.08142, nw = 1651 140514.0023.ec.fits: ap = 39, w1 = 6296.929, w2 = 6164.063, dw = -0.08053, nw = 1651 140514.0023.ec.fits: ap = 40, w1 = 6228.493, w2 = 6097.072, dw = -0.07965, nw = 1651 140514.0023.ec.fits: ap = 41, w1 = 6161.528, w2 = 6031.522, dw = -0.07879, nw = 1651 140514.0023.ec.fits: ap = 42, w1 = 6095.989, w2 = 5967.367, dw = -0.07795, nw = 1651 140514.0023.ec.fits: ap = 43, w1 = 6031.829, w2 = 5904.562, dw = -0.07713, nw = 1651 140514.0023.ec.fits: ap = 44, w1 = 5969.006, w2 = 5843.066, dw = -0.07633, nw = 1651 140514.0023.ec.fits: ap = 45, w1 = 5907.478, w2 = 5782.838, dw = -0.07554, nw = 1651 140514.0023.ec.fits: ap = 46, w1 = 5847.205, w2 = 5723.84, dw = -0.07477, nw = 1651 140514.0023.ec.fits: ap = 47, w1 = 5788.151, w2 = 5666.033, dw = -0.07401, nw = 1651 140514.0023.ec.fits: ap = 48, w1 = 5730.278, w2 = 5609.382, dw = -0.07327, nw = 1651 140514.0023.ec.fits: ap = 49, w1 = 5673.55, w2 = 5553.854, dw = -0.07254, nw = 1651 140514.0023.ec.fits: ap = 50, w1 = 5617.935, w2 = 5499.414, dw = -0.07183, nw = 1651 140514.0023.ec.fits: ap = 51, w1 = 5563.4, w2 = 5446.031, dw = -0.07113, nw = 1651 140514.0023.ec.fits: ap = 52, w1 = 5509.914, w2 = 5393.675, dw = -0.07045, nw = 1651 140514.0023.ec.fits: ap = 53, w1 = 5457.447, w2 = 5342.317, dw = -0.06978, nw = 1651 140514.0023.ec.fits: ap = 54, w1 = 5405.969, w2 = 5291.927, dw = -0.06912, nw = 1651 140514.0023.ec.fits: ap = 55, w1 = 5355.454, w2 = 5242.48, dw = -0.06847, nw = 1651 140514.0023.ec.fits: ap = 56, w1 = 5305.874, w2 = 5193.948, dw = -0.06783, nw = 1651 140514.0023.ec.fits: ap = 57, w1 = 5257.205, w2 = 5146.307, dw = -0.06721, nw = 1651 140514.0023.ec.fits: ap = 58, w1 = 5209.42, w2 = 5099.532, dw = -0.0666, nw = 1651 140514.0023.ec.fits: ap = 59, w1 = 5162.496, w2 = 5053.6, dw = -0.066, nw = 1651 140514.0023.ec.fits: ap = 60, w1 = 5116.41, w2 = 5008.488, dw = -0.06541, nw = 1651 140514.0023.ec.fits: ap = 61, w1 = 5071.14, w2 = 4964.175, dw = -0.06483, nw = 1651 140514.0023.ec.fits: ap = 62, w1 = 5026.664, w2 = 4920.639, dw = -0.06426, nw = 1651 140514.0023.ec.fits: ap = 63, w1 = 4982.962, w2 = 4877.861, dw = -0.0637, nw = 1651 140514.0023.ec.fits: ap = 64, w1 = 4940.013, w2 = 4835.82, dw = -0.06315, nw = 1651 140514.0023.ec.fits: ap = 65, w1 = 4897.798, w2 = 4794.498, dw = -0.06261, nw = 1651 140514.0023.ec.fits: ap = 66, w1 = 4856.299, w2 = 4753.876, dw = -0.06207, nw = 1651 140514.0023.ec.fits: ap = 67, w1 = 4815.498, w2 = 4713.937, dw = -0.06155, nw = 1651 140514.0023.ec.fits: ap = 68, w1 = 4775.377, w2 = 4674.664, dw = -0.06104, nw = 1651 140514.0023.ec.fits: ap = 69, w1 = 4735.918, w2 = 4636.04, dw = -0.06053, nw = 1651 140514.0023.ec.fits: ap = 70, w1 = 4697.107, w2 = 4598.05, dw = -0.06003, nw = 1651 140514.0023.ec.fits: ap = 71, w1 = 4658.927, w2 = 4560.677, dw = -0.05955, nw = 1651 140514.0023.ec.fits: ap = 72, w1 = 4621.363, w2 = 4523.907, dw = -0.05906, nw = 1651 140514.0023.ec.fits: ap = 73, w1 = 4584.4, w2 = 4487.726, dw = -0.05859, nw = 1651 140514.0023.ec.fits: ap = 74, w1 = 4548.024, w2 = 4452.118, dw = -0.05812, nw = 1651 140514.0023.ec.fits: ap = 75, w1 = 4512.22, w2 = 4417.072, dw = -0.05767, nw = 1651 140514.0023.ec.fits: ap = 76, w1 = 4476.976, w2 = 4382.573, dw = -0.05721, nw = 1651 140514.0023.ec.fits: ap = 77, w1 = 4442.279, w2 = 4348.61, dw = -0.05677, nw = 1651 140514.0023.ec.fits: ap = 78, w1 = 4408.115, w2 = 4315.169, dw = -0.05633, nw = 1651 140514.0023.ec.fits: ap = 79, w1 = 4374.474, w2 = 4282.238, dw = -0.0559, nw = 1651 140514.0023.ec.fits: ap = 80, w1 = 4341.342, w2 = 4249.807, dw = -0.05548, nw = 1651 140514.0023.ec.fits: ap = 81, w1 = 4308.708, w2 = 4217.863, dw = -0.05506, nw = 1651 140514.0023.ec.fits: ap = 82, w1 = 4276.561, w2 = 4186.396, dw = -0.05465, nw = 1651 140514.0023.ec.fits: ap = 83, w1 = 4244.891, w2 = 4155.395, dw = -0.05424, nw = 1651 140514.0023.ec.fits: ap = 84, w1 = 4213.687, w2 = 4124.851, dw = -0.05384, nw = 1651 140514.0023.ec.fits: ap = 85, w1 = 4182.938, w2 = 4094.752, dw = -0.05345, nw = 1651 140514.0023.ec.fits: ap = 86, w1 = 4152.635, w2 = 4065.09, dw = -0.05306, nw = 1651 140514.0023.ec.fits: ap = 87, w1 = 4122.768, w2 = 4035.854, dw = -0.05267, nw = 1651 140514.0023.ec.fits: ap = 88, w1 = 4093.328, w2 = 4007.036, dw = -0.0523, nw = 1651 140514.0023.ec.fits: ap = 89, w1 = 4064.305, w2 = 3978.627, dw = -0.05193, nw = 1651 140514.0023.ec.fits: ap = 90, w1 = 4035.691, w2 = 3950.618, dw = -0.05156, nw = 1651 140514.0023.ec.fits: ap = 91, w1 = 4007.478, w2 = 3923.001, dw = -0.0512, nw = 1651 140514.0023.ec.fits: ap = 92, w1 = 3979.657, w2 = 3895.768, dw = -0.05084, nw = 1651 140514.0023.ec.fits: ap = 93, w1 = 3952.219, w2 = 3868.91, dw = -0.05049, nw = 1651 140514.0023.ec.fits: ap = 94, w1 = 3925.157, w2 = 3842.42, dw = -0.05014, nw = 1651 140514.0023.ec.fits: ap = 95, w1 = 3898.464, w2 = 3816.291, dw = -0.0498, nw = 1651 140514.0023.ec.fits: ap = 96, w1 = 3872.132, w2 = 3790.515, dw = -0.04946, nw = 1651 140514.0023.ec.fits: ap = 97, w1 = 3846.153, w2 = 3765.084, dw = -0.04913, nw = 1651 140514.0023.ec.fits: ap = 98, w1 = 3820.52, w2 = 3739.993, dw = -0.0488, nw = 1651 140514.0023.ec.fits: ap = 99, w1 = 3795.227, w2 = 3715.235, dw = -0.04848, nw = 1651 140514.0023.ec.fits: ap = 100, w1 = 3770.267, w2 = 3690.802, dw = -0.04816, nw = 1651 140514.0023.ec.fits: ap = 101, w1 = 3745.634, w2 = 3666.688, dw = -0.04785, nw = 1651 140514.0023.ec.fits: ap = 102, w1 = 3721.32, w2 = 3642.888, dw = -0.04753, nw = 1651 140514.0023.ec.fits: ap = 103, w1 = 3697.32, w2 = 3619.395, dw = -0.04723, nw = 1651 140514.0023.ec.fits: ap = 104, w1 = 3673.628, w2 = 3596.203, dw = -0.04692, nw = 1651 140514.0023.ec.fits: ap = 105, w1 = 3650.238, w2 = 3573.306, dw = -0.04663, nw = 1651 140514.0023.ec.fits: ap = 106, w1 = 3627.144, w2 = 3550.699, dw = -0.04633, nw = 1651 140514.0023.ec.fits: ap = 107, w1 = 3604.341, w2 = 3528.377, dw = -0.04604, nw = 1651 140514.0023.ec.fits: ap = 108, w1 = 3581.823, w2 = 3506.334, dw = -0.04575, nw = 1651 140514.0023.ec.fits: ap = 109, w1 = 3559.585, w2 = 3484.564, dw = -0.04547, nw = 1651 140514.0023.ec.fits: ap = 110, w1 = 3537.622, w2 = 3463.064, dw = -0.04519, nw = 1651 140514.0023.ec.fits: ap = 111, w1 = 3515.928, w2 = 3441.827, dw = -0.04491, nw = 1651 140514.0023.ec.fits: ap = 112, w1 = 3494.498, w2 = 3420.849, dw = -0.04464, nw = 1651 140514.0023.ec.fits: ap = 113, w1 = 3473.329, w2 = 3400.126, dw = -0.04437, nw = 1651 140514.0023.ec.fits: ap = 114, w1 = 3452.415, w2 = 3379.652, dw = -0.0441, nw = 1651 140514.0023.ec.fits: ap = 115, w1 = 3431.751, w2 = 3359.423, dw = -0.04384, nw = 1651 140514.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.80748099' 140514.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.19251902' 140514.0025.ec.fits: ap = 1, w1 = 10811.17, w2 = 10582.94, dw = -0.13832, nw = 1651 140514.0025.ec.fits: ap = 2, w1 = 10610.97, w2 = 10386.97, dw = -0.13576, nw = 1651 140514.0025.ec.fits: ap = 3, w1 = 10418.06, w2 = 10198.14, dw = -0.13329, nw = 1651 140514.0025.ec.fits: ap = 4, w1 = 10232.04, w2 = 10016.04, dw = -0.1309, nw = 1651 140514.0025.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.339, dw = -0.12861, nw = 1651 140514.0025.ec.fits: ap = 6, w1 = 9879.232, w2 = 9670.694, dw = -0.12639, nw = 1651 140514.0025.ec.fits: ap = 7, w1 = 9711.799, w2 = 9506.799, dw = -0.12424, nw = 1651 140514.0025.ec.fits: ap = 8, w1 = 9549.948, w2 = 9348.367, dw = -0.12217, nw = 1651 140514.0025.ec.fits: ap = 9, w1 = 9393.403, w2 = 9195.13, dw = -0.12017, nw = 1651 140514.0025.ec.fits: ap = 10, w1 = 9241.908, w2 = 9046.835, dw = -0.11823, nw = 1651 140514.0025.ec.fits: ap = 11, w1 = 9095.223, w2 = 8903.249, dw = -0.11635, nw = 1651 140514.0025.ec.fits: ap = 12, w1 = 8953.121, w2 = 8764.149, dw = -0.11453, nw = 1651 140514.0025.ec.fits: ap = 13, w1 = 8815.392, w2 = 8629.329, dw = -0.11277, nw = 1651 140514.0025.ec.fits: ap = 14, w1 = 8681.836, w2 = 8498.595, dw = -0.11106, nw = 1651 140514.0025.ec.fits: ap = 15, w1 = 8552.268, w2 = 8371.763, dw = -0.1094, nw = 1651 140514.0025.ec.fits: ap = 16, w1 = 8426.51, w2 = 8248.661, dw = -0.10779, nw = 1651 140514.0025.ec.fits: ap = 17, w1 = 8304.397, w2 = 8129.128, dw = -0.10622, nw = 1651 140514.0025.ec.fits: ap = 18, w1 = 8185.773, w2 = 8013.009, dw = -0.10471, nw = 1651 140514.0025.ec.fits: ap = 19, w1 = 8070.49, w2 = 7900.162, dw = -0.10323, nw = 1651 140514.0025.ec.fits: ap = 20, w1 = 7958.41, w2 = 7790.449, dw = -0.10179, nw = 1651 140514.0025.ec.fits: ap = 21, w1 = 7849.401, w2 = 7683.742, dw = -0.1004, nw = 1651 140514.0025.ec.fits: ap = 22, w1 = 7743.338, w2 = 7579.919, dw = -0.09904, nw = 1651 140514.0025.ec.fits: ap = 23, w1 = 7640.103, w2 = 7478.865, dw = -0.09772, nw = 1651 140514.0025.ec.fits: ap = 24, w1 = 7539.585, w2 = 7380.47, dw = -0.09643, nw = 1651 140514.0025.ec.fits: ap = 25, w1 = 7441.678, w2 = 7284.631, dw = -0.09518, nw = 1651 140514.0025.ec.fits: ap = 26, w1 = 7346.281, w2 = 7191.249, dw = -0.09396, nw = 1651 140514.0025.ec.fits: ap = 27, w1 = 7253.3, w2 = 7100.231, dw = -0.09277, nw = 1651 140514.0025.ec.fits: ap = 28, w1 = 7162.643, w2 = 7011.489, dw = -0.09161, nw = 1651 140514.0025.ec.fits: ap = 29, w1 = 7074.224, w2 = 6924.938, dw = -0.09048, nw = 1651 140514.0025.ec.fits: ap = 30, w1 = 6987.962, w2 = 6840.498, dw = -0.08937, nw = 1651 140514.0025.ec.fits: ap = 31, w1 = 6903.779, w2 = 6758.093, dw = -0.08829, nw = 1651 140514.0025.ec.fits: ap = 32, w1 = 6821.6, w2 = 6677.65, dw = -0.08724, nw = 1651 140514.0025.ec.fits: ap = 33, w1 = 6741.355, w2 = 6599.1, dw = -0.08622, nw = 1651 140514.0025.ec.fits: ap = 34, w1 = 6662.976, w2 = 6522.376, dw = -0.08521, nw = 1651 140514.0025.ec.fits: ap = 35, w1 = 6586.399, w2 = 6447.416, dw = -0.08423, nw = 1651 140514.0025.ec.fits: ap = 36, w1 = 6511.562, w2 = 6374.16, dw = -0.08327, nw = 1651 140514.0025.ec.fits: ap = 37, w1 = 6438.408, w2 = 6302.552, dw = -0.08234, nw = 1651 140514.0025.ec.fits: ap = 38, w1 = 6366.878, w2 = 6232.533, dw = -0.08142, nw = 1651 140514.0025.ec.fits: ap = 39, w1 = 6296.921, w2 = 6164.054, dw = -0.08053, nw = 1651 140514.0025.ec.fits: ap = 40, w1 = 6228.485, w2 = 6097.063, dw = -0.07965, nw = 1651 140514.0025.ec.fits: ap = 41, w1 = 6161.52, w2 = 6031.514, dw = -0.07879, nw = 1651 140514.0025.ec.fits: ap = 42, w1 = 6095.981, w2 = 5967.359, dw = -0.07795, nw = 1651 140514.0025.ec.fits: ap = 43, w1 = 6031.821, w2 = 5904.554, dw = -0.07713, nw = 1651 140514.0025.ec.fits: ap = 44, w1 = 5968.998, w2 = 5843.058, dw = -0.07633, nw = 1651 140514.0025.ec.fits: ap = 45, w1 = 5907.47, w2 = 5782.831, dw = -0.07554, nw = 1651 140514.0025.ec.fits: ap = 46, w1 = 5847.198, w2 = 5723.832, dw = -0.07477, nw = 1651 140514.0025.ec.fits: ap = 47, w1 = 5788.143, w2 = 5666.025, dw = -0.07401, nw = 1651 140514.0025.ec.fits: ap = 48, w1 = 5730.27, w2 = 5609.375, dw = -0.07327, nw = 1651 140514.0025.ec.fits: ap = 49, w1 = 5673.543, w2 = 5553.846, dw = -0.07254, nw = 1651 140514.0025.ec.fits: ap = 50, w1 = 5617.928, w2 = 5499.407, dw = -0.07183, nw = 1651 140514.0025.ec.fits: ap = 51, w1 = 5563.393, w2 = 5446.024, dw = -0.07113, nw = 1651 140514.0025.ec.fits: ap = 52, w1 = 5509.907, w2 = 5393.668, dw = -0.07045, nw = 1651 140514.0025.ec.fits: ap = 53, w1 = 5457.439, w2 = 5342.31, dw = -0.06978, nw = 1651 140514.0025.ec.fits: ap = 54, w1 = 5405.962, w2 = 5291.92, dw = -0.06912, nw = 1651 140514.0025.ec.fits: ap = 55, w1 = 5355.447, w2 = 5242.473, dw = -0.06847, nw = 1651 140514.0025.ec.fits: ap = 56, w1 = 5305.867, w2 = 5193.941, dw = -0.06783, nw = 1651 140514.0025.ec.fits: ap = 57, w1 = 5257.197, w2 = 5146.3, dw = -0.06721, nw = 1651 140514.0025.ec.fits: ap = 58, w1 = 5209.413, w2 = 5099.525, dw = -0.0666, nw = 1651 140514.0025.ec.fits: ap = 59, w1 = 5162.489, w2 = 5053.594, dw = -0.066, nw = 1651 140514.0025.ec.fits: ap = 60, w1 = 5116.403, w2 = 5008.482, dw = -0.06541, nw = 1651 140514.0025.ec.fits: ap = 61, w1 = 5071.133, w2 = 4964.169, dw = -0.06483, nw = 1651 140514.0025.ec.fits: ap = 62, w1 = 5026.657, w2 = 4920.633, dw = -0.06426, nw = 1651 140514.0025.ec.fits: ap = 63, w1 = 4982.955, w2 = 4877.855, dw = -0.0637, nw = 1651 140514.0025.ec.fits: ap = 64, w1 = 4940.006, w2 = 4835.814, dw = -0.06315, nw = 1651 140514.0025.ec.fits: ap = 65, w1 = 4897.791, w2 = 4794.492, dw = -0.06261, nw = 1651 140514.0025.ec.fits: ap = 66, w1 = 4856.292, w2 = 4753.87, dw = -0.06207, nw = 1651 140514.0025.ec.fits: ap = 67, w1 = 4815.491, w2 = 4713.932, dw = -0.06155, nw = 1651 140514.0025.ec.fits: ap = 68, w1 = 4775.37, w2 = 4674.659, dw = -0.06104, nw = 1651 140514.0025.ec.fits: ap = 69, w1 = 4735.911, w2 = 4636.035, dw = -0.06053, nw = 1651 140514.0025.ec.fits: ap = 70, w1 = 4697.1, w2 = 4598.044, dw = -0.06003, nw = 1651 140514.0025.ec.fits: ap = 71, w1 = 4658.92, w2 = 4560.671, dw = -0.05954, nw = 1651 140514.0025.ec.fits: ap = 72, w1 = 4621.356, w2 = 4523.901, dw = -0.05906, nw = 1651 140514.0025.ec.fits: ap = 73, w1 = 4584.393, w2 = 4487.72, dw = -0.05859, nw = 1651 140514.0025.ec.fits: ap = 74, w1 = 4548.016, w2 = 4452.113, dw = -0.05812, nw = 1651 140514.0025.ec.fits: ap = 75, w1 = 4512.213, w2 = 4417.066, dw = -0.05766, nw = 1651 140514.0025.ec.fits: ap = 76, w1 = 4476.969, w2 = 4382.568, dw = -0.05721, nw = 1651 140514.0025.ec.fits: ap = 77, w1 = 4442.271, w2 = 4348.603, dw = -0.05677, nw = 1651 140514.0025.ec.fits: ap = 78, w1 = 4408.107, w2 = 4315.162, dw = -0.05633, nw = 1651 140514.0025.ec.fits: ap = 79, w1 = 4374.465, w2 = 4282.231, dw = -0.0559, nw = 1651 140514.0025.ec.fits: ap = 80, w1 = 4341.333, w2 = 4249.8, dw = -0.05547, nw = 1651 140514.0025.ec.fits: ap = 81, w1 = 4308.7, w2 = 4217.856, dw = -0.05506, nw = 1651 140514.0025.ec.fits: ap = 82, w1 = 4276.553, w2 = 4186.389, dw = -0.05464, nw = 1651 140514.0025.ec.fits: ap = 83, w1 = 4244.883, w2 = 4155.388, dw = -0.05424, nw = 1651 140514.0025.ec.fits: ap = 84, w1 = 4213.678, w2 = 4124.844, dw = -0.05384, nw = 1651 140514.0025.ec.fits: ap = 85, w1 = 4182.929, w2 = 4094.745, dw = -0.05345, nw = 1651 140514.0025.ec.fits: ap = 86, w1 = 4152.626, w2 = 4065.082, dw = -0.05306, nw = 1651 140514.0025.ec.fits: ap = 87, w1 = 4122.759, w2 = 4035.846, dw = -0.05267, nw = 1651 140514.0025.ec.fits: ap = 88, w1 = 4093.319, w2 = 4007.028, dw = -0.0523, nw = 1651 140514.0025.ec.fits: ap = 89, w1 = 4064.296, w2 = 3978.619, dw = -0.05193, nw = 1651 140514.0025.ec.fits: ap = 90, w1 = 4035.683, w2 = 3950.61, dw = -0.05156, nw = 1651 140514.0025.ec.fits: ap = 91, w1 = 4007.469, w2 = 3922.993, dw = -0.0512, nw = 1651 140514.0025.ec.fits: ap = 92, w1 = 3979.647, w2 = 3895.758, dw = -0.05084, nw = 1651 140514.0025.ec.fits: ap = 93, w1 = 3952.209, w2 = 3868.9, dw = -0.05049, nw = 1651 140514.0025.ec.fits: ap = 94, w1 = 3925.147, w2 = 3842.41, dw = -0.05014, nw = 1651 140514.0025.ec.fits: ap = 95, w1 = 3898.453, w2 = 3816.28, dw = -0.0498, nw = 1651 140514.0025.ec.fits: ap = 96, w1 = 3872.12, w2 = 3790.503, dw = -0.04946, nw = 1651 140514.0025.ec.fits: ap = 97, w1 = 3846.141, w2 = 3765.073, dw = -0.04913, nw = 1651 140514.0025.ec.fits: ap = 98, w1 = 3820.508, w2 = 3739.981, dw = -0.0488, nw = 1651 140514.0025.ec.fits: ap = 99, w1 = 3795.215, w2 = 3715.222, dw = -0.04848, nw = 1651 140514.0025.ec.fits: ap = 100, w1 = 3770.255, w2 = 3690.788, dw = -0.04816, nw = 1651 140514.0025.ec.fits: ap = 101, w1 = 3745.621, w2 = 3666.674, dw = -0.04785, nw = 1651 140514.0025.ec.fits: ap = 102, w1 = 3721.307, w2 = 3642.873, dw = -0.04754, nw = 1651 140514.0025.ec.fits: ap = 103, w1 = 3697.306, w2 = 3619.379, dw = -0.04723, nw = 1651 140514.0025.ec.fits: ap = 104, w1 = 3673.614, w2 = 3596.187, dw = -0.04693, nw = 1651 140514.0025.ec.fits: ap = 105, w1 = 3650.224, w2 = 3573.289, dw = -0.04663, nw = 1651 140514.0025.ec.fits: ap = 106, w1 = 3627.129, w2 = 3550.682, dw = -0.04633, nw = 1651 140514.0025.ec.fits: ap = 107, w1 = 3604.325, w2 = 3528.359, dw = -0.04604, nw = 1651 140514.0025.ec.fits: ap = 108, w1 = 3581.807, w2 = 3506.315, dw = -0.04575, nw = 1651 140514.0025.ec.fits: ap = 109, w1 = 3559.568, w2 = 3484.545, dw = -0.04547, nw = 1651 140514.0025.ec.fits: ap = 110, w1 = 3537.604, w2 = 3463.043, dw = -0.04519, nw = 1651 140514.0025.ec.fits: ap = 111, w1 = 3515.909, w2 = 3441.805, dw = -0.04491, nw = 1651 140514.0025.ec.fits: ap = 112, w1 = 3494.479, w2 = 3420.827, dw = -0.04464, nw = 1651 140514.0025.ec.fits: ap = 113, w1 = 3473.309, w2 = 3400.102, dw = -0.04437, nw = 1651 140514.0025.ec.fits: ap = 114, w1 = 3452.395, w2 = 3379.627, dw = -0.0441, nw = 1651 140514.0025.ec.fits: ap = 115, w1 = 3431.73, w2 = 3359.398, dw = -0.04384, nw = 1651 140514.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.49142089' 140514.0026.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.50857913' 140514.0026.ec.fits: ap = 1, w1 = 10811.14, w2 = 10582.92, dw = -0.13832, nw = 1651 140514.0026.ec.fits: ap = 2, w1 = 10610.95, w2 = 10386.96, dw = -0.13575, nw = 1651 140514.0026.ec.fits: ap = 3, w1 = 10418.04, w2 = 10198.12, dw = -0.13328, nw = 1651 140514.0026.ec.fits: ap = 4, w1 = 10232.02, w2 = 10016.03, dw = -0.1309, nw = 1651 140514.0026.ec.fits: ap = 5, w1 = 10052.52, w2 = 9840.325, dw = -0.1286, nw = 1651 140514.0026.ec.fits: ap = 6, w1 = 9879.216, w2 = 9670.68, dw = -0.12639, nw = 1651 140514.0026.ec.fits: ap = 7, w1 = 9711.784, w2 = 9506.785, dw = -0.12424, nw = 1651 140514.0026.ec.fits: ap = 8, w1 = 9549.934, w2 = 9348.354, dw = -0.12217, nw = 1651 140514.0026.ec.fits: ap = 9, w1 = 9393.39, w2 = 9195.116, dw = -0.12017, nw = 1651 140514.0026.ec.fits: ap = 10, w1 = 9241.896, w2 = 9046.822, dw = -0.11823, nw = 1651 140514.0026.ec.fits: ap = 11, w1 = 9095.211, w2 = 8903.236, dw = -0.11635, nw = 1651 140514.0026.ec.fits: ap = 12, w1 = 8953.11, w2 = 8764.136, dw = -0.11453, nw = 1651 140514.0026.ec.fits: ap = 13, w1 = 8815.381, w2 = 8629.317, dw = -0.11277, nw = 1651 140514.0026.ec.fits: ap = 14, w1 = 8681.826, w2 = 8498.582, dw = -0.11106, nw = 1651 140514.0026.ec.fits: ap = 15, w1 = 8552.258, w2 = 8371.751, dw = -0.1094, nw = 1651 140514.0026.ec.fits: ap = 16, w1 = 8426.5, w2 = 8248.649, dw = -0.10779, nw = 1651 140514.0026.ec.fits: ap = 17, w1 = 8304.388, w2 = 8129.116, dw = -0.10623, nw = 1651 140514.0026.ec.fits: ap = 18, w1 = 8185.764, w2 = 8012.998, dw = -0.10471, nw = 1651 140514.0026.ec.fits: ap = 19, w1 = 8070.482, w2 = 7900.151, dw = -0.10323, nw = 1651 140514.0026.ec.fits: ap = 20, w1 = 7958.403, w2 = 7790.439, dw = -0.1018, nw = 1651 140514.0026.ec.fits: ap = 21, w1 = 7849.394, w2 = 7683.732, dw = -0.1004, nw = 1651 140514.0026.ec.fits: ap = 22, w1 = 7743.331, w2 = 7579.909, dw = -0.09904, nw = 1651 140514.0026.ec.fits: ap = 23, w1 = 7640.096, w2 = 7478.855, dw = -0.09772, nw = 1651 140514.0026.ec.fits: ap = 24, w1 = 7539.578, w2 = 7380.461, dw = -0.09644, nw = 1651 140514.0026.ec.fits: ap = 25, w1 = 7441.671, w2 = 7284.622, dw = -0.09518, nw = 1651 140514.0026.ec.fits: ap = 26, w1 = 7346.275, w2 = 7191.24, dw = -0.09396, nw = 1651 140514.0026.ec.fits: ap = 27, w1 = 7253.293, w2 = 7100.223, dw = -0.09277, nw = 1651 140514.0026.ec.fits: ap = 28, w1 = 7162.637, w2 = 7011.481, dw = -0.09161, nw = 1651 140514.0026.ec.fits: ap = 29, w1 = 7074.218, w2 = 6924.93, dw = -0.09048, nw = 1651 140514.0026.ec.fits: ap = 30, w1 = 6987.956, w2 = 6840.49, dw = -0.08937, nw = 1651 140514.0026.ec.fits: ap = 31, w1 = 6903.773, w2 = 6758.085, dw = -0.0883, nw = 1651 140514.0026.ec.fits: ap = 32, w1 = 6821.594, w2 = 6677.643, dw = -0.08724, nw = 1651 140514.0026.ec.fits: ap = 33, w1 = 6741.349, w2 = 6599.093, dw = -0.08622, nw = 1651 140514.0026.ec.fits: ap = 34, w1 = 6662.97, w2 = 6522.369, dw = -0.08521, nw = 1651 140514.0026.ec.fits: ap = 35, w1 = 6586.393, w2 = 6447.41, dw = -0.08423, nw = 1651 140514.0026.ec.fits: ap = 36, w1 = 6511.556, w2 = 6374.154, dw = -0.08327, nw = 1651 140514.0026.ec.fits: ap = 37, w1 = 6438.402, w2 = 6302.545, dw = -0.08234, nw = 1651 140514.0026.ec.fits: ap = 38, w1 = 6366.872, w2 = 6232.527, dw = -0.08142, nw = 1651 140514.0026.ec.fits: ap = 39, w1 = 6296.915, w2 = 6164.048, dw = -0.08053, nw = 1651 140514.0026.ec.fits: ap = 40, w1 = 6228.479, w2 = 6097.058, dw = -0.07965, nw = 1651 140514.0026.ec.fits: ap = 41, w1 = 6161.514, w2 = 6031.508, dw = -0.07879, nw = 1651 140514.0026.ec.fits: ap = 42, w1 = 6095.975, w2 = 5967.353, dw = -0.07795, nw = 1651 140514.0026.ec.fits: ap = 43, w1 = 6031.815, w2 = 5904.549, dw = -0.07713, nw = 1651 140514.0026.ec.fits: ap = 44, w1 = 5968.992, w2 = 5843.053, dw = -0.07633, nw = 1651 140514.0026.ec.fits: ap = 45, w1 = 5907.464, w2 = 5782.826, dw = -0.07554, nw = 1651 140514.0026.ec.fits: ap = 46, w1 = 5847.192, w2 = 5723.827, dw = -0.07477, nw = 1651 140514.0026.ec.fits: ap = 47, w1 = 5788.137, w2 = 5666.021, dw = -0.07401, nw = 1651 140514.0026.ec.fits: ap = 48, w1 = 5730.264, w2 = 5609.371, dw = -0.07327, nw = 1651 140514.0026.ec.fits: ap = 49, w1 = 5673.537, w2 = 5553.842, dw = -0.07254, nw = 1651 140514.0026.ec.fits: ap = 50, w1 = 5617.922, w2 = 5499.403, dw = -0.07183, nw = 1651 140514.0026.ec.fits: ap = 51, w1 = 5563.387, w2 = 5446.02, dw = -0.07113, nw = 1651 140514.0026.ec.fits: ap = 52, w1 = 5509.901, w2 = 5393.665, dw = -0.07045, nw = 1651 140514.0026.ec.fits: ap = 53, w1 = 5457.433, w2 = 5342.306, dw = -0.06977, nw = 1651 140514.0026.ec.fits: ap = 54, w1 = 5405.956, w2 = 5291.917, dw = -0.06911, nw = 1651 140514.0026.ec.fits: ap = 55, w1 = 5355.441, w2 = 5242.47, dw = -0.06847, nw = 1651 140514.0026.ec.fits: ap = 56, w1 = 5305.861, w2 = 5193.938, dw = -0.06783, nw = 1651 140514.0026.ec.fits: ap = 57, w1 = 5257.192, w2 = 5146.297, dw = -0.06721, nw = 1651 140514.0026.ec.fits: ap = 58, w1 = 5209.407, w2 = 5099.522, dw = -0.0666, nw = 1651 140514.0026.ec.fits: ap = 59, w1 = 5162.483, w2 = 5053.59, dw = -0.066, nw = 1651 140514.0026.ec.fits: ap = 60, w1 = 5116.397, w2 = 5008.479, dw = -0.06541, nw = 1651 140514.0026.ec.fits: ap = 61, w1 = 5071.127, w2 = 4964.166, dw = -0.06482, nw = 1651 140514.0026.ec.fits: ap = 62, w1 = 5026.651, w2 = 4920.63, dw = -0.06426, nw = 1651 140514.0026.ec.fits: ap = 63, w1 = 4982.949, w2 = 4877.852, dw = -0.0637, nw = 1651 140514.0026.ec.fits: ap = 64, w1 = 4940., w2 = 4835.811, dw = -0.06314, nw = 1651 140514.0026.ec.fits: ap = 65, w1 = 4897.785, w2 = 4794.489, dw = -0.0626, nw = 1651 140514.0026.ec.fits: ap = 66, w1 = 4856.286, w2 = 4753.867, dw = -0.06207, nw = 1651 140514.0026.ec.fits: ap = 67, w1 = 4815.485, w2 = 4713.928, dw = -0.06155, nw = 1651 140514.0026.ec.fits: ap = 68, w1 = 4775.363, w2 = 4674.655, dw = -0.06104, nw = 1651 140514.0026.ec.fits: ap = 69, w1 = 4735.905, w2 = 4636.031, dw = -0.06053, nw = 1651 140514.0026.ec.fits: ap = 70, w1 = 4697.094, w2 = 4598.041, dw = -0.06003, nw = 1651 140514.0026.ec.fits: ap = 71, w1 = 4658.914, w2 = 4560.668, dw = -0.05954, nw = 1651 140514.0026.ec.fits: ap = 72, w1 = 4621.35, w2 = 4523.898, dw = -0.05906, nw = 1651 140514.0026.ec.fits: ap = 73, w1 = 4584.386, w2 = 4487.716, dw = -0.05859, nw = 1651 140514.0026.ec.fits: ap = 74, w1 = 4548.01, w2 = 4452.109, dw = -0.05812, nw = 1651 140514.0026.ec.fits: ap = 75, w1 = 4512.206, w2 = 4417.062, dw = -0.05766, nw = 1651 140514.0026.ec.fits: ap = 76, w1 = 4476.962, w2 = 4382.563, dw = -0.05721, nw = 1651 140514.0026.ec.fits: ap = 77, w1 = 4442.264, w2 = 4348.599, dw = -0.05677, nw = 1651 140514.0026.ec.fits: ap = 78, w1 = 4408.101, w2 = 4315.157, dw = -0.05633, nw = 1651 140514.0026.ec.fits: ap = 79, w1 = 4374.459, w2 = 4282.227, dw = -0.0559, nw = 1651 140514.0026.ec.fits: ap = 80, w1 = 4341.326, w2 = 4249.795, dw = -0.05547, nw = 1651 140514.0026.ec.fits: ap = 81, w1 = 4308.692, w2 = 4217.851, dw = -0.05506, nw = 1651 140514.0026.ec.fits: ap = 82, w1 = 4276.546, w2 = 4186.383, dw = -0.05464, nw = 1651 140514.0026.ec.fits: ap = 83, w1 = 4244.875, w2 = 4155.382, dw = -0.05424, nw = 1651 140514.0026.ec.fits: ap = 84, w1 = 4213.67, w2 = 4124.837, dw = -0.05384, nw = 1651 140514.0026.ec.fits: ap = 85, w1 = 4182.921, w2 = 4094.738, dw = -0.05344, nw = 1651 140514.0026.ec.fits: ap = 86, w1 = 4152.618, w2 = 4065.075, dw = -0.05306, nw = 1651 140514.0026.ec.fits: ap = 87, w1 = 4122.75, w2 = 4035.839, dw = -0.05267, nw = 1651 140514.0026.ec.fits: ap = 88, w1 = 4093.31, w2 = 4007.02, dw = -0.0523, nw = 1651 140514.0026.ec.fits: ap = 89, w1 = 4064.287, w2 = 3978.611, dw = -0.05192, nw = 1651 140514.0026.ec.fits: ap = 90, w1 = 4035.673, w2 = 3950.601, dw = -0.05156, nw = 1651 140514.0026.ec.fits: ap = 91, w1 = 4007.459, w2 = 3922.983, dw = -0.0512, nw = 1651 140514.0026.ec.fits: ap = 92, w1 = 3979.636, w2 = 3895.749, dw = -0.05084, nw = 1651 140514.0026.ec.fits: ap = 93, w1 = 3952.198, w2 = 3868.89, dw = -0.05049, nw = 1651 140514.0026.ec.fits: ap = 94, w1 = 3925.136, w2 = 3842.399, dw = -0.05014, nw = 1651 140514.0026.ec.fits: ap = 95, w1 = 3898.441, w2 = 3816.269, dw = -0.0498, nw = 1651 140514.0026.ec.fits: ap = 96, w1 = 3872.108, w2 = 3790.492, dw = -0.04946, nw = 1651 140514.0026.ec.fits: ap = 97, w1 = 3846.128, w2 = 3765.06, dw = -0.04913, nw = 1651 140514.0026.ec.fits: ap = 98, w1 = 3820.495, w2 = 3739.968, dw = -0.0488, nw = 1651 140514.0026.ec.fits: ap = 99, w1 = 3795.201, w2 = 3715.208, dw = -0.04848, nw = 1651 140514.0026.ec.fits: ap = 100, w1 = 3770.24, w2 = 3690.774, dw = -0.04816, nw = 1651 140514.0026.ec.fits: ap = 101, w1 = 3745.605, w2 = 3666.659, dw = -0.04785, nw = 1651 140514.0026.ec.fits: ap = 102, w1 = 3721.291, w2 = 3642.858, dw = -0.04754, nw = 1651 140514.0026.ec.fits: ap = 103, w1 = 3697.29, w2 = 3619.363, dw = -0.04723, nw = 1651 140514.0026.ec.fits: ap = 104, w1 = 3673.597, w2 = 3596.17, dw = -0.04693, nw = 1651 140514.0026.ec.fits: ap = 105, w1 = 3650.206, w2 = 3573.272, dw = -0.04663, nw = 1651 140514.0026.ec.fits: ap = 106, w1 = 3627.11, w2 = 3550.664, dw = -0.04633, nw = 1651 140514.0026.ec.fits: ap = 107, w1 = 3604.306, w2 = 3528.34, dw = -0.04604, nw = 1651 140514.0026.ec.fits: ap = 108, w1 = 3581.786, w2 = 3506.295, dw = -0.04575, nw = 1651 140514.0026.ec.fits: ap = 109, w1 = 3559.547, w2 = 3484.524, dw = -0.04547, nw = 1651 140514.0026.ec.fits: ap = 110, w1 = 3537.582, w2 = 3463.021, dw = -0.04519, nw = 1651 140514.0026.ec.fits: ap = 111, w1 = 3515.886, w2 = 3441.783, dw = -0.04491, nw = 1651 140514.0026.ec.fits: ap = 112, w1 = 3494.455, w2 = 3420.803, dw = -0.04464, nw = 1651 140514.0026.ec.fits: ap = 113, w1 = 3473.284, w2 = 3400.077, dw = -0.04437, nw = 1651 140514.0026.ec.fits: ap = 114, w1 = 3452.368, w2 = 3379.602, dw = -0.0441, nw = 1651 140514.0026.ec.fits: ap = 115, w1 = 3431.702, w2 = 3359.371, dw = -0.04384, nw = 1651 140514.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.17201415' 140514.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.82798588' 140514.0027.ec.fits: ap = 1, w1 = 10811.12, w2 = 10582.91, dw = -0.13831, nw = 1651 140514.0027.ec.fits: ap = 2, w1 = 10610.93, w2 = 10386.94, dw = -0.13575, nw = 1651 140514.0027.ec.fits: ap = 3, w1 = 10418.02, w2 = 10198.11, dw = -0.13328, nw = 1651 140514.0027.ec.fits: ap = 4, w1 = 10232., w2 = 10016.01, dw = -0.1309, nw = 1651 140514.0027.ec.fits: ap = 5, w1 = 10052.5, w2 = 9840.31, dw = -0.1286, nw = 1651 140514.0027.ec.fits: ap = 6, w1 = 9879.199, w2 = 9670.665, dw = -0.12638, nw = 1651 140514.0027.ec.fits: ap = 7, w1 = 9711.769, w2 = 9506.771, dw = -0.12424, nw = 1651 140514.0027.ec.fits: ap = 8, w1 = 9549.919, w2 = 9348.34, dw = -0.12217, nw = 1651 140514.0027.ec.fits: ap = 9, w1 = 9393.376, w2 = 9195.103, dw = -0.12017, nw = 1651 140514.0027.ec.fits: ap = 10, w1 = 9241.883, w2 = 9046.809, dw = -0.11823, nw = 1651 140514.0027.ec.fits: ap = 11, w1 = 9095.199, w2 = 8903.223, dw = -0.11635, nw = 1651 140514.0027.ec.fits: ap = 12, w1 = 8953.099, w2 = 8764.123, dw = -0.11453, nw = 1651 140514.0027.ec.fits: ap = 13, w1 = 8815.371, w2 = 8629.304, dw = -0.11277, nw = 1651 140514.0027.ec.fits: ap = 14, w1 = 8681.816, w2 = 8498.57, dw = -0.11106, nw = 1651 140514.0027.ec.fits: ap = 15, w1 = 8552.248, w2 = 8371.739, dw = -0.1094, nw = 1651 140514.0027.ec.fits: ap = 16, w1 = 8426.491, w2 = 8248.638, dw = -0.10779, nw = 1651 140514.0027.ec.fits: ap = 17, w1 = 8304.379, w2 = 8129.105, dw = -0.10623, nw = 1651 140514.0027.ec.fits: ap = 18, w1 = 8185.756, w2 = 8012.987, dw = -0.10471, nw = 1651 140514.0027.ec.fits: ap = 19, w1 = 8070.474, w2 = 7900.14, dw = -0.10323, nw = 1651 140514.0027.ec.fits: ap = 20, w1 = 7958.395, w2 = 7790.428, dw = -0.1018, nw = 1651 140514.0027.ec.fits: ap = 21, w1 = 7849.386, w2 = 7683.722, dw = -0.1004, nw = 1651 140514.0027.ec.fits: ap = 22, w1 = 7743.323, w2 = 7579.899, dw = -0.09904, nw = 1651 140514.0027.ec.fits: ap = 23, w1 = 7640.089, w2 = 7478.845, dw = -0.09772, nw = 1651 140514.0027.ec.fits: ap = 24, w1 = 7539.571, w2 = 7380.451, dw = -0.09644, nw = 1651 140514.0027.ec.fits: ap = 25, w1 = 7441.665, w2 = 7284.612, dw = -0.09518, nw = 1651 140514.0027.ec.fits: ap = 26, w1 = 7346.268, w2 = 7191.231, dw = -0.09396, nw = 1651 140514.0027.ec.fits: ap = 27, w1 = 7253.287, w2 = 7100.214, dw = -0.09277, nw = 1651 140514.0027.ec.fits: ap = 28, w1 = 7162.63, w2 = 7011.472, dw = -0.09161, nw = 1651 140514.0027.ec.fits: ap = 29, w1 = 7074.212, w2 = 6924.922, dw = -0.09048, nw = 1651 140514.0027.ec.fits: ap = 30, w1 = 6987.95, w2 = 6840.482, dw = -0.08937, nw = 1651 140514.0027.ec.fits: ap = 31, w1 = 6903.767, w2 = 6758.078, dw = -0.0883, nw = 1651 140514.0027.ec.fits: ap = 32, w1 = 6821.588, w2 = 6677.635, dw = -0.08724, nw = 1651 140514.0027.ec.fits: ap = 33, w1 = 6741.343, w2 = 6599.085, dw = -0.08622, nw = 1651 140514.0027.ec.fits: ap = 34, w1 = 6662.964, w2 = 6522.362, dw = -0.08521, nw = 1651 140514.0027.ec.fits: ap = 35, w1 = 6586.387, w2 = 6447.403, dw = -0.08423, nw = 1651 140514.0027.ec.fits: ap = 36, w1 = 6511.55, w2 = 6374.148, dw = -0.08327, nw = 1651 140514.0027.ec.fits: ap = 37, w1 = 6438.396, w2 = 6302.539, dw = -0.08234, nw = 1651 140514.0027.ec.fits: ap = 38, w1 = 6366.866, w2 = 6232.521, dw = -0.08142, nw = 1651 140514.0027.ec.fits: ap = 39, w1 = 6296.909, w2 = 6164.042, dw = -0.08053, nw = 1651 140514.0027.ec.fits: ap = 40, w1 = 6228.473, w2 = 6097.052, dw = -0.07965, nw = 1651 140514.0027.ec.fits: ap = 41, w1 = 6161.508, w2 = 6031.502, dw = -0.07879, nw = 1651 140514.0027.ec.fits: ap = 42, w1 = 6095.969, w2 = 5967.348, dw = -0.07795, nw = 1651 140514.0027.ec.fits: ap = 43, w1 = 6031.809, w2 = 5904.544, dw = -0.07713, nw = 1651 140514.0027.ec.fits: ap = 44, w1 = 5968.986, w2 = 5843.048, dw = -0.07633, nw = 1651 140514.0027.ec.fits: ap = 45, w1 = 5907.458, w2 = 5782.821, dw = -0.07554, nw = 1651 140514.0027.ec.fits: ap = 46, w1 = 5847.186, w2 = 5723.823, dw = -0.07477, nw = 1651 140514.0027.ec.fits: ap = 47, w1 = 5788.131, w2 = 5666.016, dw = -0.07401, nw = 1651 140514.0027.ec.fits: ap = 48, w1 = 5730.258, w2 = 5609.366, dw = -0.07327, nw = 1651 140514.0027.ec.fits: ap = 49, w1 = 5673.531, w2 = 5553.838, dw = -0.07254, nw = 1651 140514.0027.ec.fits: ap = 50, w1 = 5617.916, w2 = 5499.398, dw = -0.07183, nw = 1651 140514.0027.ec.fits: ap = 51, w1 = 5563.381, w2 = 5446.016, dw = -0.07113, nw = 1651 140514.0027.ec.fits: ap = 52, w1 = 5509.895, w2 = 5393.661, dw = -0.07044, nw = 1651 140514.0027.ec.fits: ap = 53, w1 = 5457.427, w2 = 5342.302, dw = -0.06977, nw = 1651 140514.0027.ec.fits: ap = 54, w1 = 5405.95, w2 = 5291.913, dw = -0.06911, nw = 1651 140514.0027.ec.fits: ap = 55, w1 = 5355.435, w2 = 5242.466, dw = -0.06847, nw = 1651 140514.0027.ec.fits: ap = 56, w1 = 5305.855, w2 = 5193.934, dw = -0.06783, nw = 1651 140514.0027.ec.fits: ap = 57, w1 = 5257.186, w2 = 5146.294, dw = -0.06721, nw = 1651 140514.0027.ec.fits: ap = 58, w1 = 5209.401, w2 = 5099.519, dw = -0.0666, nw = 1651 140514.0027.ec.fits: ap = 59, w1 = 5162.477, w2 = 5053.587, dw = -0.06599, nw = 1651 140514.0027.ec.fits: ap = 60, w1 = 5116.391, w2 = 5008.476, dw = -0.0654, nw = 1651 140514.0027.ec.fits: ap = 61, w1 = 5071.121, w2 = 4964.162, dw = -0.06482, nw = 1651 140514.0027.ec.fits: ap = 62, w1 = 5026.645, w2 = 4920.627, dw = -0.06425, nw = 1651 140514.0027.ec.fits: ap = 63, w1 = 4982.943, w2 = 4877.849, dw = -0.06369, nw = 1651 140514.0027.ec.fits: ap = 64, w1 = 4939.994, w2 = 4835.808, dw = -0.06314, nw = 1651 140514.0027.ec.fits: ap = 65, w1 = 4897.779, w2 = 4794.486, dw = -0.0626, nw = 1651 140514.0027.ec.fits: ap = 66, w1 = 4856.28, w2 = 4753.864, dw = -0.06207, nw = 1651 140514.0027.ec.fits: ap = 67, w1 = 4815.479, w2 = 4713.925, dw = -0.06155, nw = 1651 140514.0027.ec.fits: ap = 68, w1 = 4775.357, w2 = 4674.652, dw = -0.06103, nw = 1651 140514.0027.ec.fits: ap = 69, w1 = 4735.899, w2 = 4636.028, dw = -0.06053, nw = 1651 140514.0027.ec.fits: ap = 70, w1 = 4697.088, w2 = 4598.037, dw = -0.06003, nw = 1651 140514.0027.ec.fits: ap = 71, w1 = 4658.908, w2 = 4560.664, dw = -0.05954, nw = 1651 140514.0027.ec.fits: ap = 72, w1 = 4621.343, w2 = 4523.894, dw = -0.05906, nw = 1651 140514.0027.ec.fits: ap = 73, w1 = 4584.38, w2 = 4487.712, dw = -0.05859, nw = 1651 140514.0027.ec.fits: ap = 74, w1 = 4548.003, w2 = 4452.105, dw = -0.05812, nw = 1651 140514.0027.ec.fits: ap = 75, w1 = 4512.2, w2 = 4417.058, dw = -0.05766, nw = 1651 140514.0027.ec.fits: ap = 76, w1 = 4476.956, w2 = 4382.559, dw = -0.05721, nw = 1651 140514.0027.ec.fits: ap = 77, w1 = 4442.258, w2 = 4348.595, dw = -0.05677, nw = 1651 140514.0027.ec.fits: ap = 78, w1 = 4408.094, w2 = 4315.153, dw = -0.05633, nw = 1651 140514.0027.ec.fits: ap = 79, w1 = 4374.452, w2 = 4282.222, dw = -0.0559, nw = 1651 140514.0027.ec.fits: ap = 80, w1 = 4341.319, w2 = 4249.79, dw = -0.05547, nw = 1651 140514.0027.ec.fits: ap = 81, w1 = 4308.685, w2 = 4217.845, dw = -0.05505, nw = 1651 140514.0027.ec.fits: ap = 82, w1 = 4276.538, w2 = 4186.378, dw = -0.05464, nw = 1651 140514.0027.ec.fits: ap = 83, w1 = 4244.867, w2 = 4155.376, dw = -0.05424, nw = 1651 140514.0027.ec.fits: ap = 84, w1 = 4213.662, w2 = 4124.831, dw = -0.05384, nw = 1651 140514.0027.ec.fits: ap = 85, w1 = 4182.913, w2 = 4094.731, dw = -0.05344, nw = 1651 140514.0027.ec.fits: ap = 86, w1 = 4152.609, w2 = 4065.068, dw = -0.05306, nw = 1651 140514.0027.ec.fits: ap = 87, w1 = 4122.741, w2 = 4035.831, dw = -0.05267, nw = 1651 140514.0027.ec.fits: ap = 88, w1 = 4093.3, w2 = 4007.013, dw = -0.0523, nw = 1651 140514.0027.ec.fits: ap = 89, w1 = 4064.277, w2 = 3978.602, dw = -0.05192, nw = 1651 140514.0027.ec.fits: ap = 90, w1 = 4035.662, w2 = 3950.592, dw = -0.05156, nw = 1651 140514.0027.ec.fits: ap = 91, w1 = 4007.448, w2 = 3922.974, dw = -0.0512, nw = 1651 140514.0027.ec.fits: ap = 92, w1 = 3979.625, w2 = 3895.739, dw = -0.05084, nw = 1651 140514.0027.ec.fits: ap = 93, w1 = 3952.187, w2 = 3868.88, dw = -0.05049, nw = 1651 140514.0027.ec.fits: ap = 94, w1 = 3925.124, w2 = 3842.389, dw = -0.05014, nw = 1651 140514.0027.ec.fits: ap = 95, w1 = 3898.429, w2 = 3816.258, dw = -0.0498, nw = 1651 140514.0027.ec.fits: ap = 96, w1 = 3872.096, w2 = 3790.48, dw = -0.04946, nw = 1651 140514.0027.ec.fits: ap = 97, w1 = 3846.115, w2 = 3765.048, dw = -0.04913, nw = 1651 140514.0027.ec.fits: ap = 98, w1 = 3820.481, w2 = 3739.955, dw = -0.0488, nw = 1651 140514.0027.ec.fits: ap = 99, w1 = 3795.187, w2 = 3715.195, dw = -0.04848, nw = 1651 140514.0027.ec.fits: ap = 100, w1 = 3770.225, w2 = 3690.76, dw = -0.04816, nw = 1651 140514.0027.ec.fits: ap = 101, w1 = 3745.59, w2 = 3666.645, dw = -0.04785, nw = 1651 140514.0027.ec.fits: ap = 102, w1 = 3721.275, w2 = 3642.842, dw = -0.04753, nw = 1651 140514.0027.ec.fits: ap = 103, w1 = 3697.273, w2 = 3619.347, dw = -0.04723, nw = 1651 140514.0027.ec.fits: ap = 104, w1 = 3673.579, w2 = 3596.153, dw = -0.04693, nw = 1651 140514.0027.ec.fits: ap = 105, w1 = 3650.187, w2 = 3573.254, dw = -0.04663, nw = 1651 140514.0027.ec.fits: ap = 106, w1 = 3627.091, w2 = 3550.645, dw = -0.04633, nw = 1651 140514.0027.ec.fits: ap = 107, w1 = 3604.286, w2 = 3528.32, dw = -0.04604, nw = 1651 140514.0027.ec.fits: ap = 108, w1 = 3581.766, w2 = 3506.275, dw = -0.04575, nw = 1651 140514.0027.ec.fits: ap = 109, w1 = 3559.525, w2 = 3484.503, dw = -0.04547, nw = 1651 140514.0027.ec.fits: ap = 110, w1 = 3537.559, w2 = 3462.999, dw = -0.04519, nw = 1651 140514.0027.ec.fits: ap = 111, w1 = 3515.862, w2 = 3441.76, dw = -0.04491, nw = 1651 140514.0027.ec.fits: ap = 112, w1 = 3494.43, w2 = 3420.779, dw = -0.04464, nw = 1651 140514.0027.ec.fits: ap = 113, w1 = 3473.258, w2 = 3400.053, dw = -0.04437, nw = 1651 140514.0027.ec.fits: ap = 114, w1 = 3452.341, w2 = 3379.576, dw = -0.0441, nw = 1651 140514.0027.ec.fits: ap = 115, w1 = 3431.675, w2 = 3359.344, dw = -0.04384, nw = 1651 140514.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 0.80810547' 140514.0029.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.19189455' 140514.0029.ec.fits: ap = 1, w1 = 10811.11, w2 = 10582.9, dw = -0.13831, nw = 1651 140514.0029.ec.fits: ap = 2, w1 = 10610.92, w2 = 10386.94, dw = -0.13575, nw = 1651 140514.0029.ec.fits: ap = 3, w1 = 10418.01, w2 = 10198.1, dw = -0.13328, nw = 1651 140514.0029.ec.fits: ap = 4, w1 = 10231.99, w2 = 10016.01, dw = -0.1309, nw = 1651 140514.0029.ec.fits: ap = 5, w1 = 10052.49, w2 = 9840.303, dw = -0.1286, nw = 1651 140514.0029.ec.fits: ap = 6, w1 = 9879.189, w2 = 9670.658, dw = -0.12638, nw = 1651 140514.0029.ec.fits: ap = 7, w1 = 9711.76, w2 = 9506.763, dw = -0.12424, nw = 1651 140514.0029.ec.fits: ap = 8, w1 = 9549.911, w2 = 9348.332, dw = -0.12217, nw = 1651 140514.0029.ec.fits: ap = 9, w1 = 9393.368, w2 = 9195.095, dw = -0.12017, nw = 1651 140514.0029.ec.fits: ap = 10, w1 = 9241.876, w2 = 9046.802, dw = -0.11823, nw = 1651 140514.0029.ec.fits: ap = 11, w1 = 9095.192, w2 = 8903.216, dw = -0.11635, nw = 1651 140514.0029.ec.fits: ap = 12, w1 = 8953.092, w2 = 8764.116, dw = -0.11453, nw = 1651 140514.0029.ec.fits: ap = 13, w1 = 8815.364, w2 = 8629.297, dw = -0.11277, nw = 1651 140514.0029.ec.fits: ap = 14, w1 = 8681.81, w2 = 8498.563, dw = -0.11106, nw = 1651 140514.0029.ec.fits: ap = 15, w1 = 8552.242, w2 = 8371.731, dw = -0.1094, nw = 1651 140514.0029.ec.fits: ap = 16, w1 = 8426.485, w2 = 8248.63, dw = -0.10779, nw = 1651 140514.0029.ec.fits: ap = 17, w1 = 8304.373, w2 = 8129.097, dw = -0.10623, nw = 1651 140514.0029.ec.fits: ap = 18, w1 = 8185.749, w2 = 8012.979, dw = -0.10471, nw = 1651 140514.0029.ec.fits: ap = 19, w1 = 8070.468, w2 = 7900.132, dw = -0.10323, nw = 1651 140514.0029.ec.fits: ap = 20, w1 = 7958.388, w2 = 7790.42, dw = -0.1018, nw = 1651 140514.0029.ec.fits: ap = 21, w1 = 7849.379, w2 = 7683.713, dw = -0.1004, nw = 1651 140514.0029.ec.fits: ap = 22, w1 = 7743.316, w2 = 7579.891, dw = -0.09905, nw = 1651 140514.0029.ec.fits: ap = 23, w1 = 7640.083, w2 = 7478.838, dw = -0.09772, nw = 1651 140514.0029.ec.fits: ap = 24, w1 = 7539.565, w2 = 7380.444, dw = -0.09644, nw = 1651 140514.0029.ec.fits: ap = 25, w1 = 7441.658, w2 = 7284.605, dw = -0.09518, nw = 1651 140514.0029.ec.fits: ap = 26, w1 = 7346.262, w2 = 7191.224, dw = -0.09396, nw = 1651 140514.0029.ec.fits: ap = 27, w1 = 7253.281, w2 = 7100.207, dw = -0.09277, nw = 1651 140514.0029.ec.fits: ap = 28, w1 = 7162.624, w2 = 7011.465, dw = -0.09161, nw = 1651 140514.0029.ec.fits: ap = 29, w1 = 7074.205, w2 = 6924.915, dw = -0.09048, nw = 1651 140514.0029.ec.fits: ap = 30, w1 = 6987.944, w2 = 6840.475, dw = -0.08937, nw = 1651 140514.0029.ec.fits: ap = 31, w1 = 6903.761, w2 = 6758.071, dw = -0.0883, nw = 1651 140514.0029.ec.fits: ap = 32, w1 = 6821.582, w2 = 6677.628, dw = -0.08724, nw = 1651 140514.0029.ec.fits: ap = 33, w1 = 6741.337, w2 = 6599.079, dw = -0.08622, nw = 1651 140514.0029.ec.fits: ap = 34, w1 = 6662.958, w2 = 6522.356, dw = -0.08521, nw = 1651 140514.0029.ec.fits: ap = 35, w1 = 6586.381, w2 = 6447.397, dw = -0.08423, nw = 1651 140514.0029.ec.fits: ap = 36, w1 = 6511.544, w2 = 6374.141, dw = -0.08327, nw = 1651 140514.0029.ec.fits: ap = 37, w1 = 6438.389, w2 = 6302.532, dw = -0.08234, nw = 1651 140514.0029.ec.fits: ap = 38, w1 = 6366.86, w2 = 6232.514, dw = -0.08142, nw = 1651 140514.0029.ec.fits: ap = 39, w1 = 6296.903, w2 = 6164.036, dw = -0.08053, nw = 1651 140514.0029.ec.fits: ap = 40, w1 = 6228.466, w2 = 6097.046, dw = -0.07965, nw = 1651 140514.0029.ec.fits: ap = 41, w1 = 6161.502, w2 = 6031.496, dw = -0.07879, nw = 1651 140514.0029.ec.fits: ap = 42, w1 = 6095.962, w2 = 5967.342, dw = -0.07795, nw = 1651 140514.0029.ec.fits: ap = 43, w1 = 6031.802, w2 = 5904.538, dw = -0.07713, nw = 1651 140514.0029.ec.fits: ap = 44, w1 = 5968.979, w2 = 5843.042, dw = -0.07633, nw = 1651 140514.0029.ec.fits: ap = 45, w1 = 5907.452, w2 = 5782.815, dw = -0.07554, nw = 1651 140514.0029.ec.fits: ap = 46, w1 = 5847.18, w2 = 5723.817, dw = -0.07477, nw = 1651 140514.0029.ec.fits: ap = 47, w1 = 5788.125, w2 = 5666.011, dw = -0.07401, nw = 1651 140514.0029.ec.fits: ap = 48, w1 = 5730.252, w2 = 5609.361, dw = -0.07327, nw = 1651 140514.0029.ec.fits: ap = 49, w1 = 5673.525, w2 = 5553.833, dw = -0.07254, nw = 1651 140514.0029.ec.fits: ap = 50, w1 = 5617.91, w2 = 5499.393, dw = -0.07183, nw = 1651 140514.0029.ec.fits: ap = 51, w1 = 5563.375, w2 = 5446.011, dw = -0.07113, nw = 1651 140514.0029.ec.fits: ap = 52, w1 = 5509.889, w2 = 5393.656, dw = -0.07044, nw = 1651 140514.0029.ec.fits: ap = 53, w1 = 5457.422, w2 = 5342.298, dw = -0.06977, nw = 1651 140514.0029.ec.fits: ap = 54, w1 = 5405.945, w2 = 5291.909, dw = -0.06911, nw = 1651 140514.0029.ec.fits: ap = 55, w1 = 5355.43, w2 = 5242.461, dw = -0.06847, nw = 1651 140514.0029.ec.fits: ap = 56, w1 = 5305.85, w2 = 5193.93, dw = -0.06783, nw = 1651 140514.0029.ec.fits: ap = 57, w1 = 5257.181, w2 = 5146.289, dw = -0.06721, nw = 1651 140514.0029.ec.fits: ap = 58, w1 = 5209.396, w2 = 5099.515, dw = -0.06659, nw = 1651 140514.0029.ec.fits: ap = 59, w1 = 5162.472, w2 = 5053.583, dw = -0.06599, nw = 1651 140514.0029.ec.fits: ap = 60, w1 = 5116.387, w2 = 5008.471, dw = -0.0654, nw = 1651 140514.0029.ec.fits: ap = 61, w1 = 5071.117, w2 = 4964.158, dw = -0.06482, nw = 1651 140514.0029.ec.fits: ap = 62, w1 = 5026.641, w2 = 4920.623, dw = -0.06425, nw = 1651 140514.0029.ec.fits: ap = 63, w1 = 4982.939, w2 = 4877.845, dw = -0.06369, nw = 1651 140514.0029.ec.fits: ap = 64, w1 = 4939.99, w2 = 4835.804, dw = -0.06314, nw = 1651 140514.0029.ec.fits: ap = 65, w1 = 4897.775, w2 = 4794.482, dw = -0.0626, nw = 1651 140514.0029.ec.fits: ap = 66, w1 = 4856.277, w2 = 4753.86, dw = -0.06207, nw = 1651 140514.0029.ec.fits: ap = 67, w1 = 4815.475, w2 = 4713.922, dw = -0.06155, nw = 1651 140514.0029.ec.fits: ap = 68, w1 = 4775.354, w2 = 4674.648, dw = -0.06103, nw = 1651 140514.0029.ec.fits: ap = 69, w1 = 4735.896, w2 = 4636.025, dw = -0.06053, nw = 1651 140514.0029.ec.fits: ap = 70, w1 = 4697.084, w2 = 4598.034, dw = -0.06003, nw = 1651 140514.0029.ec.fits: ap = 71, w1 = 4658.904, w2 = 4560.661, dw = -0.05954, nw = 1651 140514.0029.ec.fits: ap = 72, w1 = 4621.34, w2 = 4523.891, dw = -0.05906, nw = 1651 140514.0029.ec.fits: ap = 73, w1 = 4584.376, w2 = 4487.709, dw = -0.05859, nw = 1651 140514.0029.ec.fits: ap = 74, w1 = 4548., w2 = 4452.101, dw = -0.05812, nw = 1651 140514.0029.ec.fits: ap = 75, w1 = 4512.196, w2 = 4417.055, dw = -0.05766, nw = 1651 140514.0029.ec.fits: ap = 76, w1 = 4476.952, w2 = 4382.556, dw = -0.05721, nw = 1651 140514.0029.ec.fits: ap = 77, w1 = 4442.254, w2 = 4348.591, dw = -0.05677, nw = 1651 140514.0029.ec.fits: ap = 78, w1 = 4408.09, w2 = 4315.15, dw = -0.05633, nw = 1651 140514.0029.ec.fits: ap = 79, w1 = 4374.447, w2 = 4282.218, dw = -0.0559, nw = 1651 140514.0029.ec.fits: ap = 80, w1 = 4341.315, w2 = 4249.786, dw = -0.05547, nw = 1651 140514.0029.ec.fits: ap = 81, w1 = 4308.681, w2 = 4217.842, dw = -0.05505, nw = 1651 140514.0029.ec.fits: ap = 82, w1 = 4276.533, w2 = 4186.374, dw = -0.05464, nw = 1651 140514.0029.ec.fits: ap = 83, w1 = 4244.863, w2 = 4155.373, dw = -0.05424, nw = 1651 140514.0029.ec.fits: ap = 84, w1 = 4213.658, w2 = 4124.827, dw = -0.05384, nw = 1651 140514.0029.ec.fits: ap = 85, w1 = 4182.907, w2 = 4094.727, dw = -0.05344, nw = 1651 140514.0029.ec.fits: ap = 86, w1 = 4152.603, w2 = 4065.064, dw = -0.05305, nw = 1651 140514.0029.ec.fits: ap = 87, w1 = 4122.735, w2 = 4035.827, dw = -0.05267, nw = 1651 140514.0029.ec.fits: ap = 88, w1 = 4093.294, w2 = 4007.008, dw = -0.05229, nw = 1651 140514.0029.ec.fits: ap = 89, w1 = 4064.27, w2 = 3978.597, dw = -0.05192, nw = 1651 140514.0029.ec.fits: ap = 90, w1 = 4035.655, w2 = 3950.587, dw = -0.05156, nw = 1651 140514.0029.ec.fits: ap = 91, w1 = 4007.44, w2 = 3922.968, dw = -0.05119, nw = 1651 140514.0029.ec.fits: ap = 92, w1 = 3979.617, w2 = 3895.733, dw = -0.05084, nw = 1651 140514.0029.ec.fits: ap = 93, w1 = 3952.177, w2 = 3868.874, dw = -0.05049, nw = 1651 140514.0029.ec.fits: ap = 94, w1 = 3925.114, w2 = 3842.382, dw = -0.05014, nw = 1651 140514.0029.ec.fits: ap = 95, w1 = 3898.418, w2 = 3816.251, dw = -0.0498, nw = 1651 140514.0029.ec.fits: ap = 96, w1 = 3872.084, w2 = 3790.473, dw = -0.04946, nw = 1651 140514.0029.ec.fits: ap = 97, w1 = 3846.102, w2 = 3765.041, dw = -0.04913, nw = 1651 140514.0029.ec.fits: ap = 98, w1 = 3820.467, w2 = 3739.948, dw = -0.0488, nw = 1651 140514.0029.ec.fits: ap = 99, w1 = 3795.172, w2 = 3715.187, dw = -0.04848, nw = 1651 140514.0029.ec.fits: ap = 100, w1 = 3770.209, w2 = 3690.751, dw = -0.04816, nw = 1651 140514.0029.ec.fits: ap = 101, w1 = 3745.573, w2 = 3666.635, dw = -0.04784, nw = 1651 140514.0029.ec.fits: ap = 102, w1 = 3721.257, w2 = 3642.833, dw = -0.04753, nw = 1651 140514.0029.ec.fits: ap = 103, w1 = 3697.254, w2 = 3619.337, dw = -0.04722, nw = 1651 140514.0029.ec.fits: ap = 104, w1 = 3673.559, w2 = 3596.142, dw = -0.04692, nw = 1651 140514.0029.ec.fits: ap = 105, w1 = 3650.165, w2 = 3573.243, dw = -0.04662, nw = 1651 140514.0029.ec.fits: ap = 106, w1 = 3627.068, w2 = 3550.633, dw = -0.04632, nw = 1651 140514.0029.ec.fits: ap = 107, w1 = 3604.261, w2 = 3528.308, dw = -0.04603, nw = 1651 140514.0029.ec.fits: ap = 108, w1 = 3581.739, w2 = 3506.261, dw = -0.04574, nw = 1651 140514.0029.ec.fits: ap = 109, w1 = 3559.497, w2 = 3484.489, dw = -0.04546, nw = 1651 140514.0029.ec.fits: ap = 110, w1 = 3537.529, w2 = 3462.985, dw = -0.04518, nw = 1651 140514.0029.ec.fits: ap = 111, w1 = 3515.83, w2 = 3441.745, dw = -0.0449, nw = 1651 140514.0029.ec.fits: ap = 112, w1 = 3494.397, w2 = 3420.763, dw = -0.04463, nw = 1651 140514.0029.ec.fits: ap = 113, w1 = 3473.222, w2 = 3400.036, dw = -0.04436, nw = 1651 140514.0029.ec.fits: ap = 114, w1 = 3452.303, w2 = 3379.558, dw = -0.04409, nw = 1651 140514.0029.ec.fits: ap = 115, w1 = 3431.634, w2 = 3359.325, dw = -0.04382, nw = 1651 140514.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 0.4882901' 140514.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.51170987' 140514.0030.ec.fits: ap = 1, w1 = 10811.1, w2 = 10582.9, dw = -0.1383, nw = 1651 140514.0030.ec.fits: ap = 2, w1 = 10610.91, w2 = 10386.94, dw = -0.13574, nw = 1651 140514.0030.ec.fits: ap = 3, w1 = 10418., w2 = 10198.1, dw = -0.13328, nw = 1651 140514.0030.ec.fits: ap = 4, w1 = 10231.98, w2 = 10016.01, dw = -0.1309, nw = 1651 140514.0030.ec.fits: ap = 5, w1 = 10052.49, w2 = 9840.303, dw = -0.1286, nw = 1651 140514.0030.ec.fits: ap = 6, w1 = 9879.188, w2 = 9670.658, dw = -0.12638, nw = 1651 140514.0030.ec.fits: ap = 7, w1 = 9711.758, w2 = 9506.763, dw = -0.12424, nw = 1651 140514.0030.ec.fits: ap = 8, w1 = 9549.909, w2 = 9348.332, dw = -0.12217, nw = 1651 140514.0030.ec.fits: ap = 9, w1 = 9393.367, w2 = 9195.095, dw = -0.12016, nw = 1651 140514.0030.ec.fits: ap = 10, w1 = 9241.874, w2 = 9046.801, dw = -0.11823, nw = 1651 140514.0030.ec.fits: ap = 11, w1 = 9095.19, w2 = 8903.215, dw = -0.11635, nw = 1651 140514.0030.ec.fits: ap = 12, w1 = 8953.09, w2 = 8764.115, dw = -0.11453, nw = 1651 140514.0030.ec.fits: ap = 13, w1 = 8815.362, w2 = 8629.295, dw = -0.11277, nw = 1651 140514.0030.ec.fits: ap = 14, w1 = 8681.808, w2 = 8498.561, dw = -0.11106, nw = 1651 140514.0030.ec.fits: ap = 15, w1 = 8552.24, w2 = 8371.729, dw = -0.1094, nw = 1651 140514.0030.ec.fits: ap = 16, w1 = 8426.482, w2 = 8248.628, dw = -0.10779, nw = 1651 140514.0030.ec.fits: ap = 17, w1 = 8304.37, w2 = 8129.095, dw = -0.10623, nw = 1651 140514.0030.ec.fits: ap = 18, w1 = 8185.747, w2 = 8012.977, dw = -0.10471, nw = 1651 140514.0030.ec.fits: ap = 19, w1 = 8070.465, w2 = 7900.13, dw = -0.10323, nw = 1651 140514.0030.ec.fits: ap = 20, w1 = 7958.385, w2 = 7790.417, dw = -0.1018, nw = 1651 140514.0030.ec.fits: ap = 21, w1 = 7849.376, w2 = 7683.711, dw = -0.1004, nw = 1651 140514.0030.ec.fits: ap = 22, w1 = 7743.313, w2 = 7579.888, dw = -0.09905, nw = 1651 140514.0030.ec.fits: ap = 23, w1 = 7640.079, w2 = 7478.835, dw = -0.09772, nw = 1651 140514.0030.ec.fits: ap = 24, w1 = 7539.561, w2 = 7380.44, dw = -0.09644, nw = 1651 140514.0030.ec.fits: ap = 25, w1 = 7441.654, w2 = 7284.601, dw = -0.09518, nw = 1651 140514.0030.ec.fits: ap = 26, w1 = 7346.257, w2 = 7191.22, dw = -0.09396, nw = 1651 140514.0030.ec.fits: ap = 27, w1 = 7253.276, w2 = 7100.203, dw = -0.09277, nw = 1651 140514.0030.ec.fits: ap = 28, w1 = 7162.619, w2 = 7011.461, dw = -0.09161, nw = 1651 140514.0030.ec.fits: ap = 29, w1 = 7074.2, w2 = 6924.91, dw = -0.09048, nw = 1651 140514.0030.ec.fits: ap = 30, w1 = 6987.938, w2 = 6840.471, dw = -0.08937, nw = 1651 140514.0030.ec.fits: ap = 31, w1 = 6903.755, w2 = 6758.066, dw = -0.0883, nw = 1651 140514.0030.ec.fits: ap = 32, w1 = 6821.576, w2 = 6677.624, dw = -0.08724, nw = 1651 140514.0030.ec.fits: ap = 33, w1 = 6741.331, w2 = 6599.074, dw = -0.08622, nw = 1651 140514.0030.ec.fits: ap = 34, w1 = 6662.952, w2 = 6522.351, dw = -0.08521, nw = 1651 140514.0030.ec.fits: ap = 35, w1 = 6586.375, w2 = 6447.392, dw = -0.08423, nw = 1651 140514.0030.ec.fits: ap = 36, w1 = 6511.538, w2 = 6374.136, dw = -0.08327, nw = 1651 140514.0030.ec.fits: ap = 37, w1 = 6438.383, w2 = 6302.527, dw = -0.08234, nw = 1651 140514.0030.ec.fits: ap = 38, w1 = 6366.854, w2 = 6232.509, dw = -0.08142, nw = 1651 140514.0030.ec.fits: ap = 39, w1 = 6296.897, w2 = 6164.03, dw = -0.08053, nw = 1651 140514.0030.ec.fits: ap = 40, w1 = 6228.461, w2 = 6097.04, dw = -0.07965, nw = 1651 140514.0030.ec.fits: ap = 41, w1 = 6161.496, w2 = 6031.491, dw = -0.07879, nw = 1651 140514.0030.ec.fits: ap = 42, w1 = 6095.957, w2 = 5967.336, dw = -0.07795, nw = 1651 140514.0030.ec.fits: ap = 43, w1 = 6031.797, w2 = 5904.533, dw = -0.07713, nw = 1651 140514.0030.ec.fits: ap = 44, w1 = 5968.974, w2 = 5843.037, dw = -0.07633, nw = 1651 140514.0030.ec.fits: ap = 45, w1 = 5907.447, w2 = 5782.81, dw = -0.07554, nw = 1651 140514.0030.ec.fits: ap = 46, w1 = 5847.175, w2 = 5723.812, dw = -0.07477, nw = 1651 140514.0030.ec.fits: ap = 47, w1 = 5788.12, w2 = 5666.006, dw = -0.07401, nw = 1651 140514.0030.ec.fits: ap = 48, w1 = 5730.247, w2 = 5609.356, dw = -0.07327, nw = 1651 140514.0030.ec.fits: ap = 49, w1 = 5673.52, w2 = 5553.828, dw = -0.07254, nw = 1651 140514.0030.ec.fits: ap = 50, w1 = 5617.906, w2 = 5499.388, dw = -0.07183, nw = 1651 140514.0030.ec.fits: ap = 51, w1 = 5563.371, w2 = 5446.006, dw = -0.07113, nw = 1651 140514.0030.ec.fits: ap = 52, w1 = 5509.885, w2 = 5393.651, dw = -0.07045, nw = 1651 140514.0030.ec.fits: ap = 53, w1 = 5457.418, w2 = 5342.293, dw = -0.06977, nw = 1651 140514.0030.ec.fits: ap = 54, w1 = 5405.941, w2 = 5291.904, dw = -0.06911, nw = 1651 140514.0030.ec.fits: ap = 55, w1 = 5355.427, w2 = 5242.457, dw = -0.06847, nw = 1651 140514.0030.ec.fits: ap = 56, w1 = 5305.847, w2 = 5193.926, dw = -0.06783, nw = 1651 140514.0030.ec.fits: ap = 57, w1 = 5257.178, w2 = 5146.285, dw = -0.06721, nw = 1651 140514.0030.ec.fits: ap = 58, w1 = 5209.393, w2 = 5099.51, dw = -0.0666, nw = 1651 140514.0030.ec.fits: ap = 59, w1 = 5162.47, w2 = 5053.579, dw = -0.06599, nw = 1651 140514.0030.ec.fits: ap = 60, w1 = 5116.385, w2 = 5008.467, dw = -0.0654, nw = 1651 140514.0030.ec.fits: ap = 61, w1 = 5071.115, w2 = 4964.155, dw = -0.06482, nw = 1651 140514.0030.ec.fits: ap = 62, w1 = 5026.639, w2 = 4920.619, dw = -0.06425, nw = 1651 140514.0030.ec.fits: ap = 63, w1 = 4982.937, w2 = 4877.841, dw = -0.06369, nw = 1651 140514.0030.ec.fits: ap = 64, w1 = 4939.989, w2 = 4835.801, dw = -0.06314, nw = 1651 140514.0030.ec.fits: ap = 65, w1 = 4897.774, w2 = 4794.479, dw = -0.0626, nw = 1651 140514.0030.ec.fits: ap = 66, w1 = 4856.276, w2 = 4753.857, dw = -0.06207, nw = 1651 140514.0030.ec.fits: ap = 67, w1 = 4815.474, w2 = 4713.919, dw = -0.06155, nw = 1651 140514.0030.ec.fits: ap = 68, w1 = 4775.353, w2 = 4674.646, dw = -0.06103, nw = 1651 140514.0030.ec.fits: ap = 69, w1 = 4735.895, w2 = 4636.022, dw = -0.06053, nw = 1651 140514.0030.ec.fits: ap = 70, w1 = 4697.084, w2 = 4598.031, dw = -0.06003, nw = 1651 140514.0030.ec.fits: ap = 71, w1 = 4658.904, w2 = 4560.658, dw = -0.05954, nw = 1651 140514.0030.ec.fits: ap = 72, w1 = 4621.34, w2 = 4523.888, dw = -0.05906, nw = 1651 140514.0030.ec.fits: ap = 73, w1 = 4584.376, w2 = 4487.707, dw = -0.05859, nw = 1651 140514.0030.ec.fits: ap = 74, w1 = 4548., w2 = 4452.099, dw = -0.05812, nw = 1651 140514.0030.ec.fits: ap = 75, w1 = 4512.196, w2 = 4417.053, dw = -0.05766, nw = 1651 140514.0030.ec.fits: ap = 76, w1 = 4476.952, w2 = 4382.554, dw = -0.05721, nw = 1651 140514.0030.ec.fits: ap = 77, w1 = 4442.254, w2 = 4348.59, dw = -0.05677, nw = 1651 140514.0030.ec.fits: ap = 78, w1 = 4408.09, w2 = 4315.148, dw = -0.05633, nw = 1651 140514.0030.ec.fits: ap = 79, w1 = 4374.447, w2 = 4282.217, dw = -0.0559, nw = 1651 140514.0030.ec.fits: ap = 80, w1 = 4341.315, w2 = 4249.785, dw = -0.05547, nw = 1651 140514.0030.ec.fits: ap = 81, w1 = 4308.68, w2 = 4217.84, dw = -0.05505, nw = 1651 140514.0030.ec.fits: ap = 82, w1 = 4276.533, w2 = 4186.373, dw = -0.05464, nw = 1651 140514.0030.ec.fits: ap = 83, w1 = 4244.862, w2 = 4155.372, dw = -0.05424, nw = 1651 140514.0030.ec.fits: ap = 84, w1 = 4213.656, w2 = 4124.826, dw = -0.05384, nw = 1651 140514.0030.ec.fits: ap = 85, w1 = 4182.906, w2 = 4094.726, dw = -0.05344, nw = 1651 140514.0030.ec.fits: ap = 86, w1 = 4152.601, w2 = 4065.063, dw = -0.05305, nw = 1651 140514.0030.ec.fits: ap = 87, w1 = 4122.733, w2 = 4035.826, dw = -0.05267, nw = 1651 140514.0030.ec.fits: ap = 88, w1 = 4093.291, w2 = 4007.007, dw = -0.05229, nw = 1651 140514.0030.ec.fits: ap = 89, w1 = 4064.266, w2 = 3978.597, dw = -0.05192, nw = 1651 140514.0030.ec.fits: ap = 90, w1 = 4035.651, w2 = 3950.586, dw = -0.05155, nw = 1651 140514.0030.ec.fits: ap = 91, w1 = 4007.435, w2 = 3922.968, dw = -0.05119, nw = 1651 140514.0030.ec.fits: ap = 92, w1 = 3979.611, w2 = 3895.733, dw = -0.05084, nw = 1651 140514.0030.ec.fits: ap = 93, w1 = 3952.171, w2 = 3868.873, dw = -0.05048, nw = 1651 140514.0030.ec.fits: ap = 94, w1 = 3925.107, w2 = 3842.381, dw = -0.05014, nw = 1651 140514.0030.ec.fits: ap = 95, w1 = 3898.41, w2 = 3816.25, dw = -0.04979, nw = 1651 140514.0030.ec.fits: ap = 96, w1 = 3872.075, w2 = 3790.472, dw = -0.04946, nw = 1651 140514.0030.ec.fits: ap = 97, w1 = 3846.093, w2 = 3765.04, dw = -0.04912, nw = 1651 140514.0030.ec.fits: ap = 98, w1 = 3820.457, w2 = 3739.946, dw = -0.04879, nw = 1651 140514.0030.ec.fits: ap = 99, w1 = 3795.16, w2 = 3715.185, dw = -0.04847, nw = 1651 140514.0030.ec.fits: ap = 100, w1 = 3770.196, w2 = 3690.75, dw = -0.04815, nw = 1651 140514.0030.ec.fits: ap = 101, w1 = 3745.559, w2 = 3666.634, dw = -0.04783, nw = 1651 140514.0030.ec.fits: ap = 102, w1 = 3721.241, w2 = 3642.831, dw = -0.04752, nw = 1651 140514.0030.ec.fits: ap = 103, w1 = 3697.236, w2 = 3619.335, dw = -0.04721, nw = 1651 140514.0030.ec.fits: ap = 104, w1 = 3673.54, w2 = 3596.14, dw = -0.04691, nw = 1651 140514.0030.ec.fits: ap = 105, w1 = 3650.145, w2 = 3573.24, dw = -0.04661, nw = 1651 140514.0030.ec.fits: ap = 106, w1 = 3627.045, w2 = 3550.63, dw = -0.04631, nw = 1651 140514.0030.ec.fits: ap = 107, w1 = 3604.237, w2 = 3528.305, dw = -0.04602, nw = 1651 140514.0030.ec.fits: ap = 108, w1 = 3581.713, w2 = 3506.258, dw = -0.04573, nw = 1651 140514.0030.ec.fits: ap = 109, w1 = 3559.469, w2 = 3484.485, dw = -0.04544, nw = 1651 140514.0030.ec.fits: ap = 110, w1 = 3537.499, w2 = 3462.981, dw = -0.04516, nw = 1651 140514.0030.ec.fits: ap = 111, w1 = 3515.798, w2 = 3441.74, dw = -0.04488, nw = 1651 140514.0030.ec.fits: ap = 112, w1 = 3494.362, w2 = 3420.758, dw = -0.04461, nw = 1651 140514.0030.ec.fits: ap = 113, w1 = 3473.185, w2 = 3400.03, dw = -0.04434, nw = 1651 140514.0030.ec.fits: ap = 114, w1 = 3452.264, w2 = 3379.552, dw = -0.04407, nw = 1651 140514.0030.ec.fits: ap = 115, w1 = 3431.592, w2 = 3359.319, dw = -0.0438, nw = 1651 140514.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 0.17427476' 140514.0031.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.82572526' 140514.0031.ec.fits: ap = 1, w1 = 10811.1, w2 = 10582.9, dw = -0.1383, nw = 1651 140514.0031.ec.fits: ap = 2, w1 = 10610.91, w2 = 10386.94, dw = -0.13574, nw = 1651 140514.0031.ec.fits: ap = 3, w1 = 10418., w2 = 10198.1, dw = -0.13327, nw = 1651 140514.0031.ec.fits: ap = 4, w1 = 10231.98, w2 = 10016.01, dw = -0.13089, nw = 1651 140514.0031.ec.fits: ap = 5, w1 = 10052.49, w2 = 9840.304, dw = -0.1286, nw = 1651 140514.0031.ec.fits: ap = 6, w1 = 9879.186, w2 = 9670.658, dw = -0.12638, nw = 1651 140514.0031.ec.fits: ap = 7, w1 = 9711.756, w2 = 9506.764, dw = -0.12424, nw = 1651 140514.0031.ec.fits: ap = 8, w1 = 9549.908, w2 = 9348.332, dw = -0.12217, nw = 1651 140514.0031.ec.fits: ap = 9, w1 = 9393.365, w2 = 9195.094, dw = -0.12016, nw = 1651 140514.0031.ec.fits: ap = 10, w1 = 9241.873, w2 = 9046.8, dw = -0.11823, nw = 1651 140514.0031.ec.fits: ap = 11, w1 = 9095.189, w2 = 8903.214, dw = -0.11635, nw = 1651 140514.0031.ec.fits: ap = 12, w1 = 8953.088, w2 = 8764.114, dw = -0.11453, nw = 1651 140514.0031.ec.fits: ap = 13, w1 = 8815.36, w2 = 8629.294, dw = -0.11277, nw = 1651 140514.0031.ec.fits: ap = 14, w1 = 8681.805, w2 = 8498.56, dw = -0.11106, nw = 1651 140514.0031.ec.fits: ap = 15, w1 = 8552.237, w2 = 8371.728, dw = -0.1094, nw = 1651 140514.0031.ec.fits: ap = 16, w1 = 8426.48, w2 = 8248.626, dw = -0.10779, nw = 1651 140514.0031.ec.fits: ap = 17, w1 = 8304.368, w2 = 8129.093, dw = -0.10623, nw = 1651 140514.0031.ec.fits: ap = 18, w1 = 8185.744, w2 = 8012.975, dw = -0.10471, nw = 1651 140514.0031.ec.fits: ap = 19, w1 = 8070.462, w2 = 7900.127, dw = -0.10323, nw = 1651 140514.0031.ec.fits: ap = 20, w1 = 7958.382, w2 = 7790.415, dw = -0.1018, nw = 1651 140514.0031.ec.fits: ap = 21, w1 = 7849.373, w2 = 7683.708, dw = -0.1004, nw = 1651 140514.0031.ec.fits: ap = 22, w1 = 7743.31, w2 = 7579.885, dw = -0.09905, nw = 1651 140514.0031.ec.fits: ap = 23, w1 = 7640.075, w2 = 7478.831, dw = -0.09772, nw = 1651 140514.0031.ec.fits: ap = 24, w1 = 7539.557, w2 = 7380.437, dw = -0.09644, nw = 1651 140514.0031.ec.fits: ap = 25, w1 = 7441.65, w2 = 7284.598, dw = -0.09518, nw = 1651 140514.0031.ec.fits: ap = 26, w1 = 7346.253, w2 = 7191.216, dw = -0.09396, nw = 1651 140514.0031.ec.fits: ap = 27, w1 = 7253.271, w2 = 7100.199, dw = -0.09277, nw = 1651 140514.0031.ec.fits: ap = 28, w1 = 7162.614, w2 = 7011.457, dw = -0.09161, nw = 1651 140514.0031.ec.fits: ap = 29, w1 = 7074.195, w2 = 6924.906, dw = -0.09048, nw = 1651 140514.0031.ec.fits: ap = 30, w1 = 6987.933, w2 = 6840.466, dw = -0.08937, nw = 1651 140514.0031.ec.fits: ap = 31, w1 = 6903.75, w2 = 6758.062, dw = -0.0883, nw = 1651 140514.0031.ec.fits: ap = 32, w1 = 6821.571, w2 = 6677.619, dw = -0.08724, nw = 1651 140514.0031.ec.fits: ap = 33, w1 = 6741.326, w2 = 6599.069, dw = -0.08622, nw = 1651 140514.0031.ec.fits: ap = 34, w1 = 6662.947, w2 = 6522.346, dw = -0.08521, nw = 1651 140514.0031.ec.fits: ap = 35, w1 = 6586.369, w2 = 6447.387, dw = -0.08423, nw = 1651 140514.0031.ec.fits: ap = 36, w1 = 6511.533, w2 = 6374.131, dw = -0.08327, nw = 1651 140514.0031.ec.fits: ap = 37, w1 = 6438.378, w2 = 6302.522, dw = -0.08234, nw = 1651 140514.0031.ec.fits: ap = 38, w1 = 6366.849, w2 = 6232.504, dw = -0.08142, nw = 1651 140514.0031.ec.fits: ap = 39, w1 = 6296.891, w2 = 6164.025, dw = -0.08052, nw = 1651 140514.0031.ec.fits: ap = 40, w1 = 6228.455, w2 = 6097.035, dw = -0.07965, nw = 1651 140514.0031.ec.fits: ap = 41, w1 = 6161.491, w2 = 6031.486, dw = -0.07879, nw = 1651 140514.0031.ec.fits: ap = 42, w1 = 6095.951, w2 = 5967.331, dw = -0.07795, nw = 1651 140514.0031.ec.fits: ap = 43, w1 = 6031.792, w2 = 5904.527, dw = -0.07713, nw = 1651 140514.0031.ec.fits: ap = 44, w1 = 5968.969, w2 = 5843.032, dw = -0.07633, nw = 1651 140514.0031.ec.fits: ap = 45, w1 = 5907.441, w2 = 5782.805, dw = -0.07554, nw = 1651 140514.0031.ec.fits: ap = 46, w1 = 5847.17, w2 = 5723.807, dw = -0.07477, nw = 1651 140514.0031.ec.fits: ap = 47, w1 = 5788.116, w2 = 5666.001, dw = -0.07401, nw = 1651 140514.0031.ec.fits: ap = 48, w1 = 5730.243, w2 = 5609.351, dw = -0.07327, nw = 1651 140514.0031.ec.fits: ap = 49, w1 = 5673.516, w2 = 5553.823, dw = -0.07254, nw = 1651 140514.0031.ec.fits: ap = 50, w1 = 5617.902, w2 = 5499.383, dw = -0.07183, nw = 1651 140514.0031.ec.fits: ap = 51, w1 = 5563.367, w2 = 5446.001, dw = -0.07113, nw = 1651 140514.0031.ec.fits: ap = 52, w1 = 5509.882, w2 = 5393.646, dw = -0.07045, nw = 1651 140514.0031.ec.fits: ap = 53, w1 = 5457.415, w2 = 5342.288, dw = -0.06977, nw = 1651 140514.0031.ec.fits: ap = 54, w1 = 5405.938, w2 = 5291.899, dw = -0.06911, nw = 1651 140514.0031.ec.fits: ap = 55, w1 = 5355.423, w2 = 5242.452, dw = -0.06847, nw = 1651 140514.0031.ec.fits: ap = 56, w1 = 5305.844, w2 = 5193.921, dw = -0.06783, nw = 1651 140514.0031.ec.fits: ap = 57, w1 = 5257.175, w2 = 5146.281, dw = -0.06721, nw = 1651 140514.0031.ec.fits: ap = 58, w1 = 5209.391, w2 = 5099.506, dw = -0.0666, nw = 1651 140514.0031.ec.fits: ap = 59, w1 = 5162.468, w2 = 5053.575, dw = -0.066, nw = 1651 140514.0031.ec.fits: ap = 60, w1 = 5116.382, w2 = 5008.464, dw = -0.06541, nw = 1651 140514.0031.ec.fits: ap = 61, w1 = 5071.113, w2 = 4964.151, dw = -0.06483, nw = 1651 140514.0031.ec.fits: ap = 62, w1 = 5026.638, w2 = 4920.616, dw = -0.06426, nw = 1651 140514.0031.ec.fits: ap = 63, w1 = 4982.936, w2 = 4877.838, dw = -0.0637, nw = 1651 140514.0031.ec.fits: ap = 64, w1 = 4939.988, w2 = 4835.797, dw = -0.06315, nw = 1651 140514.0031.ec.fits: ap = 65, w1 = 4897.773, w2 = 4794.476, dw = -0.0626, nw = 1651 140514.0031.ec.fits: ap = 66, w1 = 4856.275, w2 = 4753.854, dw = -0.06207, nw = 1651 140514.0031.ec.fits: ap = 67, w1 = 4815.474, w2 = 4713.916, dw = -0.06155, nw = 1651 140514.0031.ec.fits: ap = 68, w1 = 4775.353, w2 = 4674.643, dw = -0.06104, nw = 1651 140514.0031.ec.fits: ap = 69, w1 = 4735.895, w2 = 4636.019, dw = -0.06053, nw = 1651 140514.0031.ec.fits: ap = 70, w1 = 4697.084, w2 = 4598.029, dw = -0.06003, nw = 1651 140514.0031.ec.fits: ap = 71, w1 = 4658.904, w2 = 4560.656, dw = -0.05954, nw = 1651 140514.0031.ec.fits: ap = 72, w1 = 4621.34, w2 = 4523.886, dw = -0.05906, nw = 1651 140514.0031.ec.fits: ap = 73, w1 = 4584.376, w2 = 4487.705, dw = -0.05859, nw = 1651 140514.0031.ec.fits: ap = 74, w1 = 4548., w2 = 4452.097, dw = -0.05812, nw = 1651 140514.0031.ec.fits: ap = 75, w1 = 4512.196, w2 = 4417.051, dw = -0.05766, nw = 1651 140514.0031.ec.fits: ap = 76, w1 = 4476.952, w2 = 4382.552, dw = -0.05721, nw = 1651 140514.0031.ec.fits: ap = 77, w1 = 4442.254, w2 = 4348.588, dw = -0.05677, nw = 1651 140514.0031.ec.fits: ap = 78, w1 = 4408.09, w2 = 4315.147, dw = -0.05633, nw = 1651 140514.0031.ec.fits: ap = 79, w1 = 4374.447, w2 = 4282.215, dw = -0.0559, nw = 1651 140514.0031.ec.fits: ap = 80, w1 = 4341.314, w2 = 4249.784, dw = -0.05547, nw = 1651 140514.0031.ec.fits: ap = 81, w1 = 4308.68, w2 = 4217.839, dw = -0.05505, nw = 1651 140514.0031.ec.fits: ap = 82, w1 = 4276.532, w2 = 4186.372, dw = -0.05464, nw = 1651 140514.0031.ec.fits: ap = 83, w1 = 4244.861, w2 = 4155.37, dw = -0.05424, nw = 1651 140514.0031.ec.fits: ap = 84, w1 = 4213.655, w2 = 4124.825, dw = -0.05384, nw = 1651 140514.0031.ec.fits: ap = 85, w1 = 4182.904, w2 = 4094.725, dw = -0.05344, nw = 1651 140514.0031.ec.fits: ap = 86, w1 = 4152.599, w2 = 4065.062, dw = -0.05305, nw = 1651 140514.0031.ec.fits: ap = 87, w1 = 4122.73, w2 = 4035.825, dw = -0.05267, nw = 1651 140514.0031.ec.fits: ap = 88, w1 = 4093.288, w2 = 4007.006, dw = -0.05229, nw = 1651 140514.0031.ec.fits: ap = 89, w1 = 4064.263, w2 = 3978.596, dw = -0.05192, nw = 1651 140514.0031.ec.fits: ap = 90, w1 = 4035.647, w2 = 3950.585, dw = -0.05155, nw = 1651 140514.0031.ec.fits: ap = 91, w1 = 4007.43, w2 = 3922.967, dw = -0.05119, nw = 1651 140514.0031.ec.fits: ap = 92, w1 = 3979.606, w2 = 3895.732, dw = -0.05083, nw = 1651 140514.0031.ec.fits: ap = 93, w1 = 3952.165, w2 = 3868.872, dw = -0.05048, nw = 1651 140514.0031.ec.fits: ap = 94, w1 = 3925.1, w2 = 3842.381, dw = -0.05013, nw = 1651 140514.0031.ec.fits: ap = 95, w1 = 3898.403, w2 = 3816.249, dw = -0.04979, nw = 1651 140514.0031.ec.fits: ap = 96, w1 = 3872.066, w2 = 3790.471, dw = -0.04945, nw = 1651 140514.0031.ec.fits: ap = 97, w1 = 3846.083, w2 = 3765.038, dw = -0.04912, nw = 1651 140514.0031.ec.fits: ap = 98, w1 = 3820.446, w2 = 3739.945, dw = -0.04879, nw = 1651 140514.0031.ec.fits: ap = 99, w1 = 3795.148, w2 = 3715.184, dw = -0.04846, nw = 1651 140514.0031.ec.fits: ap = 100, w1 = 3770.183, w2 = 3690.748, dw = -0.04814, nw = 1651 140514.0031.ec.fits: ap = 101, w1 = 3745.544, w2 = 3666.632, dw = -0.04783, nw = 1651 140514.0031.ec.fits: ap = 102, w1 = 3721.225, w2 = 3642.829, dw = -0.04751, nw = 1651 140514.0031.ec.fits: ap = 103, w1 = 3697.219, w2 = 3619.333, dw = -0.0472, nw = 1651 140514.0031.ec.fits: ap = 104, w1 = 3673.521, w2 = 3596.137, dw = -0.0469, nw = 1651 140514.0031.ec.fits: ap = 105, w1 = 3650.124, w2 = 3573.238, dw = -0.0466, nw = 1651 140514.0031.ec.fits: ap = 106, w1 = 3627.024, w2 = 3550.627, dw = -0.0463, nw = 1651 140514.0031.ec.fits: ap = 107, w1 = 3604.213, w2 = 3528.302, dw = -0.04601, nw = 1651 140514.0031.ec.fits: ap = 108, w1 = 3581.687, w2 = 3506.254, dw = -0.04572, nw = 1651 140514.0031.ec.fits: ap = 109, w1 = 3559.441, w2 = 3484.481, dw = -0.04543, nw = 1651 140514.0031.ec.fits: ap = 110, w1 = 3537.469, w2 = 3462.976, dw = -0.04515, nw = 1651 140514.0031.ec.fits: ap = 111, w1 = 3515.767, w2 = 3441.735, dw = -0.04487, nw = 1651 140514.0031.ec.fits: ap = 112, w1 = 3494.328, w2 = 3420.753, dw = -0.04459, nw = 1651 140514.0031.ec.fits: ap = 113, w1 = 3473.149, w2 = 3400.025, dw = -0.04432, nw = 1651 140514.0031.ec.fits: ap = 114, w1 = 3452.225, w2 = 3379.546, dw = -0.04405, nw = 1651 140514.0031.ec.fits: ap = 115, w1 = 3431.551, w2 = 3359.313, dw = -0.04378, nw = 1651 140514.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.82729238' 140514.0033.ec.fits: REFSPEC2 = 'EchelleThAr.0037.ec 0.17270763' 140514.0033.ec.fits: ap = 1, w1 = 10811.1, w2 = 10582.89, dw = -0.1383, nw = 1651 140514.0033.ec.fits: ap = 2, w1 = 10610.91, w2 = 10386.93, dw = -0.13574, nw = 1651 140514.0033.ec.fits: ap = 3, w1 = 10418., w2 = 10198.1, dw = -0.13327, nw = 1651 140514.0033.ec.fits: ap = 4, w1 = 10231.98, w2 = 10016., dw = -0.1309, nw = 1651 140514.0033.ec.fits: ap = 5, w1 = 10052.49, w2 = 9840.298, dw = -0.1286, nw = 1651 140514.0033.ec.fits: ap = 6, w1 = 9879.182, w2 = 9670.653, dw = -0.12638, nw = 1651 140514.0033.ec.fits: ap = 7, w1 = 9711.752, w2 = 9506.758, dw = -0.12424, nw = 1651 140514.0033.ec.fits: ap = 8, w1 = 9549.903, w2 = 9348.326, dw = -0.12217, nw = 1651 140514.0033.ec.fits: ap = 9, w1 = 9393.36, w2 = 9195.089, dw = -0.12016, nw = 1651 140514.0033.ec.fits: ap = 10, w1 = 9241.867, w2 = 9046.794, dw = -0.11823, nw = 1651 140514.0033.ec.fits: ap = 11, w1 = 9095.183, w2 = 8903.208, dw = -0.11635, nw = 1651 140514.0033.ec.fits: ap = 12, w1 = 8953.083, w2 = 8764.108, dw = -0.11453, nw = 1651 140514.0033.ec.fits: ap = 13, w1 = 8815.355, w2 = 8629.288, dw = -0.11277, nw = 1651 140514.0033.ec.fits: ap = 14, w1 = 8681.799, w2 = 8498.553, dw = -0.11106, nw = 1651 140514.0033.ec.fits: ap = 15, w1 = 8552.231, w2 = 8371.721, dw = -0.1094, nw = 1651 140514.0033.ec.fits: ap = 16, w1 = 8426.474, w2 = 8248.62, dw = -0.10779, nw = 1651 140514.0033.ec.fits: ap = 17, w1 = 8304.361, w2 = 8129.087, dw = -0.10623, nw = 1651 140514.0033.ec.fits: ap = 18, w1 = 8185.738, w2 = 8012.969, dw = -0.10471, nw = 1651 140514.0033.ec.fits: ap = 19, w1 = 8070.456, w2 = 7900.121, dw = -0.10323, nw = 1651 140514.0033.ec.fits: ap = 20, w1 = 7958.376, w2 = 7790.409, dw = -0.1018, nw = 1651 140514.0033.ec.fits: ap = 21, w1 = 7849.367, w2 = 7683.702, dw = -0.1004, nw = 1651 140514.0033.ec.fits: ap = 22, w1 = 7743.303, w2 = 7579.88, dw = -0.09904, nw = 1651 140514.0033.ec.fits: ap = 23, w1 = 7640.069, w2 = 7478.826, dw = -0.09772, nw = 1651 140514.0033.ec.fits: ap = 24, w1 = 7539.551, w2 = 7380.431, dw = -0.09644, nw = 1651 140514.0033.ec.fits: ap = 25, w1 = 7441.644, w2 = 7284.592, dw = -0.09518, nw = 1651 140514.0033.ec.fits: ap = 26, w1 = 7346.247, w2 = 7191.211, dw = -0.09396, nw = 1651 140514.0033.ec.fits: ap = 27, w1 = 7253.265, w2 = 7100.193, dw = -0.09277, nw = 1651 140514.0033.ec.fits: ap = 28, w1 = 7162.608, w2 = 7011.451, dw = -0.09161, nw = 1651 140514.0033.ec.fits: ap = 29, w1 = 7074.189, w2 = 6924.901, dw = -0.09048, nw = 1651 140514.0033.ec.fits: ap = 30, w1 = 6987.927, w2 = 6840.461, dw = -0.08937, nw = 1651 140514.0033.ec.fits: ap = 31, w1 = 6903.744, w2 = 6758.056, dw = -0.0883, nw = 1651 140514.0033.ec.fits: ap = 32, w1 = 6821.565, w2 = 6677.614, dw = -0.08724, nw = 1651 140514.0033.ec.fits: ap = 33, w1 = 6741.32, w2 = 6599.064, dw = -0.08622, nw = 1651 140514.0033.ec.fits: ap = 34, w1 = 6662.941, w2 = 6522.341, dw = -0.08521, nw = 1651 140514.0033.ec.fits: ap = 35, w1 = 6586.364, w2 = 6447.381, dw = -0.08423, nw = 1651 140514.0033.ec.fits: ap = 36, w1 = 6511.527, w2 = 6374.126, dw = -0.08327, nw = 1651 140514.0033.ec.fits: ap = 37, w1 = 6438.372, w2 = 6302.517, dw = -0.08234, nw = 1651 140514.0033.ec.fits: ap = 38, w1 = 6366.843, w2 = 6232.499, dw = -0.08142, nw = 1651 140514.0033.ec.fits: ap = 39, w1 = 6296.886, w2 = 6164.02, dw = -0.08052, nw = 1651 140514.0033.ec.fits: ap = 40, w1 = 6228.449, w2 = 6097.03, dw = -0.07965, nw = 1651 140514.0033.ec.fits: ap = 41, w1 = 6161.485, w2 = 6031.48, dw = -0.07879, nw = 1651 140514.0033.ec.fits: ap = 42, w1 = 6095.945, w2 = 5967.325, dw = -0.07795, nw = 1651 140514.0033.ec.fits: ap = 43, w1 = 6031.786, w2 = 5904.521, dw = -0.07713, nw = 1651 140514.0033.ec.fits: ap = 44, w1 = 5968.963, w2 = 5843.026, dw = -0.07633, nw = 1651 140514.0033.ec.fits: ap = 45, w1 = 5907.435, w2 = 5782.799, dw = -0.07554, nw = 1651 140514.0033.ec.fits: ap = 46, w1 = 5847.164, w2 = 5723.8, dw = -0.07477, nw = 1651 140514.0033.ec.fits: ap = 47, w1 = 5788.11, w2 = 5665.994, dw = -0.07401, nw = 1651 140514.0033.ec.fits: ap = 48, w1 = 5730.237, w2 = 5609.344, dw = -0.07327, nw = 1651 140514.0033.ec.fits: ap = 49, w1 = 5673.511, w2 = 5553.817, dw = -0.07254, nw = 1651 140514.0033.ec.fits: ap = 50, w1 = 5617.896, w2 = 5499.378, dw = -0.07183, nw = 1651 140514.0033.ec.fits: ap = 51, w1 = 5563.362, w2 = 5445.996, dw = -0.07113, nw = 1651 140514.0033.ec.fits: ap = 52, w1 = 5509.876, w2 = 5393.64, dw = -0.07045, nw = 1651 140514.0033.ec.fits: ap = 53, w1 = 5457.41, w2 = 5342.282, dw = -0.06977, nw = 1651 140514.0033.ec.fits: ap = 54, w1 = 5405.933, w2 = 5291.894, dw = -0.06911, nw = 1651 140514.0033.ec.fits: ap = 55, w1 = 5355.418, w2 = 5242.447, dw = -0.06847, nw = 1651 140514.0033.ec.fits: ap = 56, w1 = 5305.839, w2 = 5193.915, dw = -0.06783, nw = 1651 140514.0033.ec.fits: ap = 57, w1 = 5257.17, w2 = 5146.275, dw = -0.06721, nw = 1651 140514.0033.ec.fits: ap = 58, w1 = 5209.386, w2 = 5099.5, dw = -0.0666, nw = 1651 140514.0033.ec.fits: ap = 59, w1 = 5162.463, w2 = 5053.569, dw = -0.066, nw = 1651 140514.0033.ec.fits: ap = 60, w1 = 5116.378, w2 = 5008.458, dw = -0.06541, nw = 1651 140514.0033.ec.fits: ap = 61, w1 = 5071.108, w2 = 4964.145, dw = -0.06483, nw = 1651 140514.0033.ec.fits: ap = 62, w1 = 5026.633, w2 = 4920.61, dw = -0.06426, nw = 1651 140514.0033.ec.fits: ap = 63, w1 = 4982.931, w2 = 4877.832, dw = -0.0637, nw = 1651 140514.0033.ec.fits: ap = 64, w1 = 4939.983, w2 = 4835.791, dw = -0.06315, nw = 1651 140514.0033.ec.fits: ap = 65, w1 = 4897.769, w2 = 4794.47, dw = -0.06261, nw = 1651 140514.0033.ec.fits: ap = 66, w1 = 4856.27, w2 = 4753.848, dw = -0.06207, nw = 1651 140514.0033.ec.fits: ap = 67, w1 = 4815.469, w2 = 4713.91, dw = -0.06155, nw = 1651 140514.0033.ec.fits: ap = 68, w1 = 4775.348, w2 = 4674.637, dw = -0.06104, nw = 1651 140514.0033.ec.fits: ap = 69, w1 = 4735.89, w2 = 4636.013, dw = -0.06053, nw = 1651 140514.0033.ec.fits: ap = 70, w1 = 4697.079, w2 = 4598.023, dw = -0.06003, nw = 1651 140514.0033.ec.fits: ap = 71, w1 = 4658.899, w2 = 4560.65, dw = -0.05954, nw = 1651 140514.0033.ec.fits: ap = 72, w1 = 4621.335, w2 = 4523.88, dw = -0.05906, nw = 1651 140514.0033.ec.fits: ap = 73, w1 = 4584.372, w2 = 4487.699, dw = -0.05859, nw = 1651 140514.0033.ec.fits: ap = 74, w1 = 4547.996, w2 = 4452.092, dw = -0.05812, nw = 1651 140514.0033.ec.fits: ap = 75, w1 = 4512.192, w2 = 4417.045, dw = -0.05766, nw = 1651 140514.0033.ec.fits: ap = 76, w1 = 4476.948, w2 = 4382.547, dw = -0.05721, nw = 1651 140514.0033.ec.fits: ap = 77, w1 = 4442.25, w2 = 4348.583, dw = -0.05677, nw = 1651 140514.0033.ec.fits: ap = 78, w1 = 4408.086, w2 = 4315.141, dw = -0.05633, nw = 1651 140514.0033.ec.fits: ap = 79, w1 = 4374.443, w2 = 4282.21, dw = -0.0559, nw = 1651 140514.0033.ec.fits: ap = 80, w1 = 4341.31, w2 = 4249.779, dw = -0.05547, nw = 1651 140514.0033.ec.fits: ap = 81, w1 = 4308.676, w2 = 4217.834, dw = -0.05506, nw = 1651 140514.0033.ec.fits: ap = 82, w1 = 4276.528, w2 = 4186.367, dw = -0.05464, nw = 1651 140514.0033.ec.fits: ap = 83, w1 = 4244.855, w2 = 4155.365, dw = -0.05424, nw = 1651 140514.0033.ec.fits: ap = 84, w1 = 4213.65, w2 = 4124.82, dw = -0.05384, nw = 1651 140514.0033.ec.fits: ap = 85, w1 = 4182.9, w2 = 4094.721, dw = -0.05344, nw = 1651 140514.0033.ec.fits: ap = 86, w1 = 4152.595, w2 = 4065.058, dw = -0.05305, nw = 1651 140514.0033.ec.fits: ap = 87, w1 = 4122.726, w2 = 4035.821, dw = -0.05267, nw = 1651 140514.0033.ec.fits: ap = 88, w1 = 4093.283, w2 = 4007.002, dw = -0.05229, nw = 1651 140514.0033.ec.fits: ap = 89, w1 = 4064.259, w2 = 3978.592, dw = -0.05192, nw = 1651 140514.0033.ec.fits: ap = 90, w1 = 4035.642, w2 = 3950.582, dw = -0.05155, nw = 1651 140514.0033.ec.fits: ap = 91, w1 = 4007.426, w2 = 3922.963, dw = -0.05119, nw = 1651 140514.0033.ec.fits: ap = 92, w1 = 3979.602, w2 = 3895.729, dw = -0.05083, nw = 1651 140514.0033.ec.fits: ap = 93, w1 = 3952.161, w2 = 3868.869, dw = -0.05048, nw = 1651 140514.0033.ec.fits: ap = 94, w1 = 3925.095, w2 = 3842.378, dw = -0.05013, nw = 1651 140514.0033.ec.fits: ap = 95, w1 = 3898.398, w2 = 3816.247, dw = -0.04979, nw = 1651 140514.0033.ec.fits: ap = 96, w1 = 3872.062, w2 = 3790.469, dw = -0.04945, nw = 1651 140514.0033.ec.fits: ap = 97, w1 = 3846.078, w2 = 3765.037, dw = -0.04912, nw = 1651 140514.0033.ec.fits: ap = 98, w1 = 3820.441, w2 = 3739.943, dw = -0.04879, nw = 1651 140514.0033.ec.fits: ap = 99, w1 = 3795.144, w2 = 3715.183, dw = -0.04846, nw = 1651 140514.0033.ec.fits: ap = 100, w1 = 3770.179, w2 = 3690.747, dw = -0.04814, nw = 1651 140514.0033.ec.fits: ap = 101, w1 = 3745.54, w2 = 3666.631, dw = -0.04782, nw = 1651 140514.0033.ec.fits: ap = 102, w1 = 3721.22, w2 = 3642.829, dw = -0.04751, nw = 1651 140514.0033.ec.fits: ap = 103, w1 = 3697.214, w2 = 3619.333, dw = -0.0472, nw = 1651 140514.0033.ec.fits: ap = 104, w1 = 3673.516, w2 = 3596.138, dw = -0.0469, nw = 1651 140514.0033.ec.fits: ap = 105, w1 = 3650.12, w2 = 3573.239, dw = -0.04659, nw = 1651 140514.0033.ec.fits: ap = 106, w1 = 3627.019, w2 = 3550.629, dw = -0.0463, nw = 1651 140514.0033.ec.fits: ap = 107, w1 = 3604.208, w2 = 3528.303, dw = -0.046, nw = 1651 140514.0033.ec.fits: ap = 108, w1 = 3581.682, w2 = 3506.257, dw = -0.04571, nw = 1651 140514.0033.ec.fits: ap = 109, w1 = 3559.436, w2 = 3484.484, dw = -0.04543, nw = 1651 140514.0033.ec.fits: ap = 110, w1 = 3537.464, w2 = 3462.98, dw = -0.04514, nw = 1651 140514.0033.ec.fits: ap = 111, w1 = 3515.761, w2 = 3441.739, dw = -0.04486, nw = 1651 140514.0033.ec.fits: ap = 112, w1 = 3494.323, w2 = 3420.757, dw = -0.04459, nw = 1651 140514.0033.ec.fits: ap = 113, w1 = 3473.144, w2 = 3400.03, dw = -0.04431, nw = 1651 140514.0033.ec.fits: ap = 114, w1 = 3452.22, w2 = 3379.552, dw = -0.04404, nw = 1651 140514.0033.ec.fits: ap = 115, w1 = 3431.546, w2 = 3359.319, dw = -0.04377, nw = 1651 140514.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.54382908' 140514.0034.ec.fits: REFSPEC2 = 'EchelleThAr.0037.ec 0.45617089' 140514.0034.ec.fits: ap = 1, w1 = 10811.1, w2 = 10582.89, dw = -0.13831, nw = 1651 140514.0034.ec.fits: ap = 2, w1 = 10610.91, w2 = 10386.92, dw = -0.13575, nw = 1651 140514.0034.ec.fits: ap = 3, w1 = 10418., w2 = 10198.09, dw = -0.13328, nw = 1651 140514.0034.ec.fits: ap = 4, w1 = 10231.98, w2 = 10015.99, dw = -0.1309, nw = 1651 140514.0034.ec.fits: ap = 5, w1 = 10052.48, w2 = 9840.289, dw = -0.1286, nw = 1651 140514.0034.ec.fits: ap = 6, w1 = 9879.177, w2 = 9670.644, dw = -0.12638, nw = 1651 140514.0034.ec.fits: ap = 7, w1 = 9711.746, w2 = 9506.749, dw = -0.12424, nw = 1651 140514.0034.ec.fits: ap = 8, w1 = 9549.897, w2 = 9348.317, dw = -0.12217, nw = 1651 140514.0034.ec.fits: ap = 9, w1 = 9393.354, w2 = 9195.08, dw = -0.12017, nw = 1651 140514.0034.ec.fits: ap = 10, w1 = 9241.86, w2 = 9046.785, dw = -0.11823, nw = 1651 140514.0034.ec.fits: ap = 11, w1 = 9095.176, w2 = 8903.199, dw = -0.11635, nw = 1651 140514.0034.ec.fits: ap = 12, w1 = 8953.075, w2 = 8764.099, dw = -0.11453, nw = 1651 140514.0034.ec.fits: ap = 13, w1 = 8815.347, w2 = 8629.279, dw = -0.11277, nw = 1651 140514.0034.ec.fits: ap = 14, w1 = 8681.792, w2 = 8498.545, dw = -0.11106, nw = 1651 140514.0034.ec.fits: ap = 15, w1 = 8552.224, w2 = 8371.713, dw = -0.1094, nw = 1651 140514.0034.ec.fits: ap = 16, w1 = 8426.466, w2 = 8248.612, dw = -0.10779, nw = 1651 140514.0034.ec.fits: ap = 17, w1 = 8304.354, w2 = 8129.079, dw = -0.10623, nw = 1651 140514.0034.ec.fits: ap = 18, w1 = 8185.73, w2 = 8012.961, dw = -0.10471, nw = 1651 140514.0034.ec.fits: ap = 19, w1 = 8070.448, w2 = 7900.114, dw = -0.10323, nw = 1651 140514.0034.ec.fits: ap = 20, w1 = 7958.368, w2 = 7790.402, dw = -0.1018, nw = 1651 140514.0034.ec.fits: ap = 21, w1 = 7849.359, w2 = 7683.695, dw = -0.1004, nw = 1651 140514.0034.ec.fits: ap = 22, w1 = 7743.296, w2 = 7579.873, dw = -0.09904, nw = 1651 140514.0034.ec.fits: ap = 23, w1 = 7640.062, w2 = 7478.819, dw = -0.09772, nw = 1651 140514.0034.ec.fits: ap = 24, w1 = 7539.544, w2 = 7380.424, dw = -0.09644, nw = 1651 140514.0034.ec.fits: ap = 25, w1 = 7441.637, w2 = 7284.586, dw = -0.09518, nw = 1651 140514.0034.ec.fits: ap = 26, w1 = 7346.24, w2 = 7191.204, dw = -0.09396, nw = 1651 140514.0034.ec.fits: ap = 27, w1 = 7253.259, w2 = 7100.187, dw = -0.09277, nw = 1651 140514.0034.ec.fits: ap = 28, w1 = 7162.602, w2 = 7011.446, dw = -0.09161, nw = 1651 140514.0034.ec.fits: ap = 29, w1 = 7074.183, w2 = 6924.895, dw = -0.09048, nw = 1651 140514.0034.ec.fits: ap = 30, w1 = 6987.922, w2 = 6840.456, dw = -0.08937, nw = 1651 140514.0034.ec.fits: ap = 31, w1 = 6903.738, w2 = 6758.051, dw = -0.0883, nw = 1651 140514.0034.ec.fits: ap = 32, w1 = 6821.559, w2 = 6677.608, dw = -0.08724, nw = 1651 140514.0034.ec.fits: ap = 33, w1 = 6741.314, w2 = 6599.059, dw = -0.08622, nw = 1651 140514.0034.ec.fits: ap = 34, w1 = 6662.935, w2 = 6522.336, dw = -0.08521, nw = 1651 140514.0034.ec.fits: ap = 35, w1 = 6586.358, w2 = 6447.376, dw = -0.08423, nw = 1651 140514.0034.ec.fits: ap = 36, w1 = 6511.522, w2 = 6374.121, dw = -0.08327, nw = 1651 140514.0034.ec.fits: ap = 37, w1 = 6438.367, w2 = 6302.512, dw = -0.08234, nw = 1651 140514.0034.ec.fits: ap = 38, w1 = 6366.838, w2 = 6232.494, dw = -0.08142, nw = 1651 140514.0034.ec.fits: ap = 39, w1 = 6296.881, w2 = 6164.015, dw = -0.08052, nw = 1651 140514.0034.ec.fits: ap = 40, w1 = 6228.445, w2 = 6097.025, dw = -0.07965, nw = 1651 140514.0034.ec.fits: ap = 41, w1 = 6161.48, w2 = 6031.476, dw = -0.07879, nw = 1651 140514.0034.ec.fits: ap = 42, w1 = 6095.941, w2 = 5967.321, dw = -0.07795, nw = 1651 140514.0034.ec.fits: ap = 43, w1 = 6031.781, w2 = 5904.517, dw = -0.07713, nw = 1651 140514.0034.ec.fits: ap = 44, w1 = 5968.958, w2 = 5843.022, dw = -0.07633, nw = 1651 140514.0034.ec.fits: ap = 45, w1 = 5907.431, w2 = 5782.794, dw = -0.07554, nw = 1651 140514.0034.ec.fits: ap = 46, w1 = 5847.159, w2 = 5723.796, dw = -0.07477, nw = 1651 140514.0034.ec.fits: ap = 47, w1 = 5788.105, w2 = 5665.99, dw = -0.07401, nw = 1651 140514.0034.ec.fits: ap = 48, w1 = 5730.232, w2 = 5609.34, dw = -0.07327, nw = 1651 140514.0034.ec.fits: ap = 49, w1 = 5673.506, w2 = 5553.812, dw = -0.07254, nw = 1651 140514.0034.ec.fits: ap = 50, w1 = 5617.891, w2 = 5499.373, dw = -0.07183, nw = 1651 140514.0034.ec.fits: ap = 51, w1 = 5563.357, w2 = 5445.991, dw = -0.07113, nw = 1651 140514.0034.ec.fits: ap = 52, w1 = 5509.871, w2 = 5393.635, dw = -0.07045, nw = 1651 140514.0034.ec.fits: ap = 53, w1 = 5457.404, w2 = 5342.277, dw = -0.06977, nw = 1651 140514.0034.ec.fits: ap = 54, w1 = 5405.927, w2 = 5291.888, dw = -0.06911, nw = 1651 140514.0034.ec.fits: ap = 55, w1 = 5355.413, w2 = 5242.441, dw = -0.06847, nw = 1651 140514.0034.ec.fits: ap = 56, w1 = 5305.834, w2 = 5193.91, dw = -0.06783, nw = 1651 140514.0034.ec.fits: ap = 57, w1 = 5257.164, w2 = 5146.269, dw = -0.06721, nw = 1651 140514.0034.ec.fits: ap = 58, w1 = 5209.38, w2 = 5099.495, dw = -0.0666, nw = 1651 140514.0034.ec.fits: ap = 59, w1 = 5162.457, w2 = 5053.563, dw = -0.066, nw = 1651 140514.0034.ec.fits: ap = 60, w1 = 5116.371, w2 = 5008.452, dw = -0.06541, nw = 1651 140514.0034.ec.fits: ap = 61, w1 = 5071.102, w2 = 4964.139, dw = -0.06483, nw = 1651 140514.0034.ec.fits: ap = 62, w1 = 5026.626, w2 = 4920.604, dw = -0.06426, nw = 1651 140514.0034.ec.fits: ap = 63, w1 = 4982.925, w2 = 4877.825, dw = -0.0637, nw = 1651 140514.0034.ec.fits: ap = 64, w1 = 4939.976, w2 = 4835.785, dw = -0.06315, nw = 1651 140514.0034.ec.fits: ap = 65, w1 = 4897.762, w2 = 4794.463, dw = -0.06261, nw = 1651 140514.0034.ec.fits: ap = 66, w1 = 4856.263, w2 = 4753.842, dw = -0.06207, nw = 1651 140514.0034.ec.fits: ap = 67, w1 = 4815.462, w2 = 4713.903, dw = -0.06155, nw = 1651 140514.0034.ec.fits: ap = 68, w1 = 4775.341, w2 = 4674.63, dw = -0.06104, nw = 1651 140514.0034.ec.fits: ap = 69, w1 = 4735.883, w2 = 4636.006, dw = -0.06053, nw = 1651 140514.0034.ec.fits: ap = 70, w1 = 4697.072, w2 = 4598.016, dw = -0.06003, nw = 1651 140514.0034.ec.fits: ap = 71, w1 = 4658.892, w2 = 4560.643, dw = -0.05954, nw = 1651 140514.0034.ec.fits: ap = 72, w1 = 4621.328, w2 = 4523.873, dw = -0.05906, nw = 1651 140514.0034.ec.fits: ap = 73, w1 = 4584.365, w2 = 4487.692, dw = -0.05859, nw = 1651 140514.0034.ec.fits: ap = 74, w1 = 4547.988, w2 = 4452.085, dw = -0.05812, nw = 1651 140514.0034.ec.fits: ap = 75, w1 = 4512.185, w2 = 4417.038, dw = -0.05766, nw = 1651 140514.0034.ec.fits: ap = 76, w1 = 4476.94, w2 = 4382.539, dw = -0.05721, nw = 1651 140514.0034.ec.fits: ap = 77, w1 = 4442.243, w2 = 4348.575, dw = -0.05677, nw = 1651 140514.0034.ec.fits: ap = 78, w1 = 4408.079, w2 = 4315.134, dw = -0.05633, nw = 1651 140514.0034.ec.fits: ap = 79, w1 = 4374.436, w2 = 4282.203, dw = -0.0559, nw = 1651 140514.0034.ec.fits: ap = 80, w1 = 4341.303, w2 = 4249.771, dw = -0.05547, nw = 1651 140514.0034.ec.fits: ap = 81, w1 = 4308.669, w2 = 4217.827, dw = -0.05506, nw = 1651 140514.0034.ec.fits: ap = 82, w1 = 4276.521, w2 = 4186.36, dw = -0.05464, nw = 1651 140514.0034.ec.fits: ap = 83, w1 = 4244.849, w2 = 4155.358, dw = -0.05424, nw = 1651 140514.0034.ec.fits: ap = 84, w1 = 4213.644, w2 = 4124.813, dw = -0.05384, nw = 1651 140514.0034.ec.fits: ap = 85, w1 = 4182.894, w2 = 4094.714, dw = -0.05344, nw = 1651 140514.0034.ec.fits: ap = 86, w1 = 4152.59, w2 = 4065.051, dw = -0.05305, nw = 1651 140514.0034.ec.fits: ap = 87, w1 = 4122.721, w2 = 4035.815, dw = -0.05267, nw = 1651 140514.0034.ec.fits: ap = 88, w1 = 4093.279, w2 = 4006.996, dw = -0.05229, nw = 1651 140514.0034.ec.fits: ap = 89, w1 = 4064.254, w2 = 3978.586, dw = -0.05192, nw = 1651 140514.0034.ec.fits: ap = 90, w1 = 4035.639, w2 = 3950.577, dw = -0.05155, nw = 1651 140514.0034.ec.fits: ap = 91, w1 = 4007.423, w2 = 3922.959, dw = -0.05119, nw = 1651 140514.0034.ec.fits: ap = 92, w1 = 3979.599, w2 = 3895.724, dw = -0.05083, nw = 1651 140514.0034.ec.fits: ap = 93, w1 = 3952.159, w2 = 3868.865, dw = -0.05048, nw = 1651 140514.0034.ec.fits: ap = 94, w1 = 3925.094, w2 = 3842.374, dw = -0.05013, nw = 1651 140514.0034.ec.fits: ap = 95, w1 = 3898.398, w2 = 3816.244, dw = -0.04979, nw = 1651 140514.0034.ec.fits: ap = 96, w1 = 3872.062, w2 = 3790.466, dw = -0.04945, nw = 1651 140514.0034.ec.fits: ap = 97, w1 = 3846.08, w2 = 3765.035, dw = -0.04912, nw = 1651 140514.0034.ec.fits: ap = 98, w1 = 3820.444, w2 = 3739.942, dw = -0.04879, nw = 1651 140514.0034.ec.fits: ap = 99, w1 = 3795.147, w2 = 3715.182, dw = -0.04846, nw = 1651 140514.0034.ec.fits: ap = 100, w1 = 3770.183, w2 = 3690.747, dw = -0.04814, nw = 1651 140514.0034.ec.fits: ap = 101, w1 = 3745.545, w2 = 3666.632, dw = -0.04783, nw = 1651 140514.0034.ec.fits: ap = 102, w1 = 3721.227, w2 = 3642.83, dw = -0.04751, nw = 1651 140514.0034.ec.fits: ap = 103, w1 = 3697.222, w2 = 3619.335, dw = -0.0472, nw = 1651 140514.0034.ec.fits: ap = 104, w1 = 3673.525, w2 = 3596.141, dw = -0.0469, nw = 1651 140514.0034.ec.fits: ap = 105, w1 = 3650.13, w2 = 3573.243, dw = -0.0466, nw = 1651 140514.0034.ec.fits: ap = 106, w1 = 3627.03, w2 = 3550.634, dw = -0.0463, nw = 1651 140514.0034.ec.fits: ap = 107, w1 = 3604.221, w2 = 3528.309, dw = -0.04601, nw = 1651 140514.0034.ec.fits: ap = 108, w1 = 3581.697, w2 = 3506.264, dw = -0.04572, nw = 1651 140514.0034.ec.fits: ap = 109, w1 = 3559.453, w2 = 3484.492, dw = -0.04543, nw = 1651 140514.0034.ec.fits: ap = 110, w1 = 3537.482, w2 = 3462.989, dw = -0.04515, nw = 1651 140514.0034.ec.fits: ap = 111, w1 = 3515.782, w2 = 3441.75, dw = -0.04487, nw = 1651 140514.0034.ec.fits: ap = 112, w1 = 3494.345, w2 = 3420.769, dw = -0.04459, nw = 1651 140514.0034.ec.fits: ap = 113, w1 = 3473.168, w2 = 3400.043, dw = -0.04432, nw = 1651 140514.0034.ec.fits: ap = 114, w1 = 3452.246, w2 = 3379.566, dw = -0.04405, nw = 1651 140514.0034.ec.fits: ap = 115, w1 = 3431.574, w2 = 3359.335, dw = -0.04378, nw = 1651 140514.0035.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.31177905' 140514.0035.ec.fits: REFSPEC2 = 'EchelleThAr.0037.ec 0.68822092' 140514.0035.ec.fits: ap = 1, w1 = 10811.1, w2 = 10582.88, dw = -0.13831, nw = 1651 140514.0035.ec.fits: ap = 2, w1 = 10610.91, w2 = 10386.92, dw = -0.13575, nw = 1651 140514.0035.ec.fits: ap = 3, w1 = 10417.99, w2 = 10198.08, dw = -0.13328, nw = 1651 140514.0035.ec.fits: ap = 4, w1 = 10231.97, w2 = 10015.99, dw = -0.1309, nw = 1651 140514.0035.ec.fits: ap = 5, w1 = 10052.48, w2 = 9840.281, dw = -0.1286, nw = 1651 140514.0035.ec.fits: ap = 6, w1 = 9879.172, w2 = 9670.636, dw = -0.12639, nw = 1651 140514.0035.ec.fits: ap = 7, w1 = 9711.742, w2 = 9506.741, dw = -0.12424, nw = 1651 140514.0035.ec.fits: ap = 8, w1 = 9549.892, w2 = 9348.309, dw = -0.12217, nw = 1651 140514.0035.ec.fits: ap = 9, w1 = 9393.348, w2 = 9195.072, dw = -0.12017, nw = 1651 140514.0035.ec.fits: ap = 10, w1 = 9241.855, w2 = 9046.778, dw = -0.11823, nw = 1651 140514.0035.ec.fits: ap = 11, w1 = 9095.17, w2 = 8903.191, dw = -0.11635, nw = 1651 140514.0035.ec.fits: ap = 12, w1 = 8953.069, w2 = 8764.092, dw = -0.11453, nw = 1651 140514.0035.ec.fits: ap = 13, w1 = 8815.341, w2 = 8629.272, dw = -0.11277, nw = 1651 140514.0035.ec.fits: ap = 14, w1 = 8681.786, w2 = 8498.538, dw = -0.11106, nw = 1651 140514.0035.ec.fits: ap = 15, w1 = 8552.217, w2 = 8371.707, dw = -0.1094, nw = 1651 140514.0035.ec.fits: ap = 16, w1 = 8426.46, w2 = 8248.605, dw = -0.10779, nw = 1651 140514.0035.ec.fits: ap = 17, w1 = 8304.348, w2 = 8129.072, dw = -0.10623, nw = 1651 140514.0035.ec.fits: ap = 18, w1 = 8185.724, w2 = 8012.955, dw = -0.10471, nw = 1651 140514.0035.ec.fits: ap = 19, w1 = 8070.442, w2 = 7900.108, dw = -0.10323, nw = 1651 140514.0035.ec.fits: ap = 20, w1 = 7958.363, w2 = 7790.396, dw = -0.1018, nw = 1651 140514.0035.ec.fits: ap = 21, w1 = 7849.354, w2 = 7683.689, dw = -0.1004, nw = 1651 140514.0035.ec.fits: ap = 22, w1 = 7743.291, w2 = 7579.867, dw = -0.09904, nw = 1651 140514.0035.ec.fits: ap = 23, w1 = 7640.056, w2 = 7478.813, dw = -0.09772, nw = 1651 140514.0035.ec.fits: ap = 24, w1 = 7539.538, w2 = 7380.419, dw = -0.09644, nw = 1651 140514.0035.ec.fits: ap = 25, w1 = 7441.631, w2 = 7284.58, dw = -0.09518, nw = 1651 140514.0035.ec.fits: ap = 26, w1 = 7346.235, w2 = 7191.199, dw = -0.09396, nw = 1651 140514.0035.ec.fits: ap = 27, w1 = 7253.254, w2 = 7100.182, dw = -0.09277, nw = 1651 140514.0035.ec.fits: ap = 28, w1 = 7162.597, w2 = 7011.441, dw = -0.09161, nw = 1651 140514.0035.ec.fits: ap = 29, w1 = 7074.178, w2 = 6924.89, dw = -0.09048, nw = 1651 140514.0035.ec.fits: ap = 30, w1 = 6987.917, w2 = 6840.451, dw = -0.08937, nw = 1651 140514.0035.ec.fits: ap = 31, w1 = 6903.734, w2 = 6758.046, dw = -0.0883, nw = 1651 140514.0035.ec.fits: ap = 32, w1 = 6821.555, w2 = 6677.604, dw = -0.08724, nw = 1651 140514.0035.ec.fits: ap = 33, w1 = 6741.31, w2 = 6599.054, dw = -0.08622, nw = 1651 140514.0035.ec.fits: ap = 34, w1 = 6662.931, w2 = 6522.331, dw = -0.08521, nw = 1651 140514.0035.ec.fits: ap = 35, w1 = 6586.354, w2 = 6447.372, dw = -0.08423, nw = 1651 140514.0035.ec.fits: ap = 36, w1 = 6511.518, w2 = 6374.117, dw = -0.08327, nw = 1651 140514.0035.ec.fits: ap = 37, w1 = 6438.363, w2 = 6302.508, dw = -0.08234, nw = 1651 140514.0035.ec.fits: ap = 38, w1 = 6366.834, w2 = 6232.49, dw = -0.08142, nw = 1651 140514.0035.ec.fits: ap = 39, w1 = 6296.877, w2 = 6164.011, dw = -0.08052, nw = 1651 140514.0035.ec.fits: ap = 40, w1 = 6228.441, w2 = 6097.021, dw = -0.07965, nw = 1651 140514.0035.ec.fits: ap = 41, w1 = 6161.476, w2 = 6031.472, dw = -0.07879, nw = 1651 140514.0035.ec.fits: ap = 42, w1 = 6095.937, w2 = 5967.317, dw = -0.07795, nw = 1651 140514.0035.ec.fits: ap = 43, w1 = 6031.777, w2 = 5904.513, dw = -0.07713, nw = 1651 140514.0035.ec.fits: ap = 44, w1 = 5968.955, w2 = 5843.018, dw = -0.07633, nw = 1651 140514.0035.ec.fits: ap = 45, w1 = 5907.427, w2 = 5782.79, dw = -0.07554, nw = 1651 140514.0035.ec.fits: ap = 46, w1 = 5847.155, w2 = 5723.792, dw = -0.07477, nw = 1651 140514.0035.ec.fits: ap = 47, w1 = 5788.101, w2 = 5665.986, dw = -0.07401, nw = 1651 140514.0035.ec.fits: ap = 48, w1 = 5730.228, w2 = 5609.336, dw = -0.07327, nw = 1651 140514.0035.ec.fits: ap = 49, w1 = 5673.502, w2 = 5553.808, dw = -0.07254, nw = 1651 140514.0035.ec.fits: ap = 50, w1 = 5617.887, w2 = 5499.369, dw = -0.07183, nw = 1651 140514.0035.ec.fits: ap = 51, w1 = 5563.353, w2 = 5445.987, dw = -0.07113, nw = 1651 140514.0035.ec.fits: ap = 52, w1 = 5509.867, w2 = 5393.631, dw = -0.07045, nw = 1651 140514.0035.ec.fits: ap = 53, w1 = 5457.4, w2 = 5342.273, dw = -0.06977, nw = 1651 140514.0035.ec.fits: ap = 54, w1 = 5405.923, w2 = 5291.884, dw = -0.06911, nw = 1651 140514.0035.ec.fits: ap = 55, w1 = 5355.408, w2 = 5242.437, dw = -0.06847, nw = 1651 140514.0035.ec.fits: ap = 56, w1 = 5305.829, w2 = 5193.905, dw = -0.06783, nw = 1651 140514.0035.ec.fits: ap = 57, w1 = 5257.16, w2 = 5146.265, dw = -0.06721, nw = 1651 140514.0035.ec.fits: ap = 58, w1 = 5209.375, w2 = 5099.49, dw = -0.0666, nw = 1651 140514.0035.ec.fits: ap = 59, w1 = 5162.452, w2 = 5053.558, dw = -0.066, nw = 1651 140514.0035.ec.fits: ap = 60, w1 = 5116.366, w2 = 5008.447, dw = -0.06541, nw = 1651 140514.0035.ec.fits: ap = 61, w1 = 5071.097, w2 = 4964.134, dw = -0.06483, nw = 1651 140514.0035.ec.fits: ap = 62, w1 = 5026.621, w2 = 4920.599, dw = -0.06426, nw = 1651 140514.0035.ec.fits: ap = 63, w1 = 4982.919, w2 = 4877.82, dw = -0.0637, nw = 1651 140514.0035.ec.fits: ap = 64, w1 = 4939.971, w2 = 4835.78, dw = -0.06315, nw = 1651 140514.0035.ec.fits: ap = 65, w1 = 4897.756, w2 = 4794.458, dw = -0.06261, nw = 1651 140514.0035.ec.fits: ap = 66, w1 = 4856.258, w2 = 4753.836, dw = -0.06207, nw = 1651 140514.0035.ec.fits: ap = 67, w1 = 4815.457, w2 = 4713.898, dw = -0.06155, nw = 1651 140514.0035.ec.fits: ap = 68, w1 = 4775.335, w2 = 4674.625, dw = -0.06104, nw = 1651 140514.0035.ec.fits: ap = 69, w1 = 4735.877, w2 = 4636.001, dw = -0.06053, nw = 1651 140514.0035.ec.fits: ap = 70, w1 = 4697.066, w2 = 4598.01, dw = -0.06003, nw = 1651 140514.0035.ec.fits: ap = 71, w1 = 4658.886, w2 = 4560.637, dw = -0.05954, nw = 1651 140514.0035.ec.fits: ap = 72, w1 = 4621.322, w2 = 4523.867, dw = -0.05906, nw = 1651 140514.0035.ec.fits: ap = 73, w1 = 4584.359, w2 = 4487.686, dw = -0.05859, nw = 1651 140514.0035.ec.fits: ap = 74, w1 = 4547.982, w2 = 4452.079, dw = -0.05812, nw = 1651 140514.0035.ec.fits: ap = 75, w1 = 4512.179, w2 = 4417.032, dw = -0.05766, nw = 1651 140514.0035.ec.fits: ap = 76, w1 = 4476.934, w2 = 4382.533, dw = -0.05721, nw = 1651 140514.0035.ec.fits: ap = 77, w1 = 4442.237, w2 = 4348.569, dw = -0.05677, nw = 1651 140514.0035.ec.fits: ap = 78, w1 = 4408.073, w2 = 4315.128, dw = -0.05633, nw = 1651 140514.0035.ec.fits: ap = 79, w1 = 4374.43, w2 = 4282.197, dw = -0.0559, nw = 1651 140514.0035.ec.fits: ap = 80, w1 = 4341.298, w2 = 4249.766, dw = -0.05547, nw = 1651 140514.0035.ec.fits: ap = 81, w1 = 4308.663, w2 = 4217.822, dw = -0.05506, nw = 1651 140514.0035.ec.fits: ap = 82, w1 = 4276.516, w2 = 4186.354, dw = -0.05464, nw = 1651 140514.0035.ec.fits: ap = 83, w1 = 4244.844, w2 = 4155.353, dw = -0.05424, nw = 1651 140514.0035.ec.fits: ap = 84, w1 = 4213.639, w2 = 4124.808, dw = -0.05384, nw = 1651 140514.0035.ec.fits: ap = 85, w1 = 4182.889, w2 = 4094.709, dw = -0.05344, nw = 1651 140514.0035.ec.fits: ap = 86, w1 = 4152.585, w2 = 4065.046, dw = -0.05305, nw = 1651 140514.0035.ec.fits: ap = 87, w1 = 4122.717, w2 = 4035.81, dw = -0.05267, nw = 1651 140514.0035.ec.fits: ap = 88, w1 = 4093.275, w2 = 4006.992, dw = -0.05229, nw = 1651 140514.0035.ec.fits: ap = 89, w1 = 4064.251, w2 = 3978.582, dw = -0.05192, nw = 1651 140514.0035.ec.fits: ap = 90, w1 = 4035.636, w2 = 3950.572, dw = -0.05155, nw = 1651 140514.0035.ec.fits: ap = 91, w1 = 4007.42, w2 = 3922.955, dw = -0.05119, nw = 1651 140514.0035.ec.fits: ap = 92, w1 = 3979.597, w2 = 3895.72, dw = -0.05083, nw = 1651 140514.0035.ec.fits: ap = 93, w1 = 3952.157, w2 = 3868.862, dw = -0.05048, nw = 1651 140514.0035.ec.fits: ap = 94, w1 = 3925.093, w2 = 3842.371, dw = -0.05013, nw = 1651 140514.0035.ec.fits: ap = 95, w1 = 3898.397, w2 = 3816.241, dw = -0.04979, nw = 1651 140514.0035.ec.fits: ap = 96, w1 = 3872.062, w2 = 3790.464, dw = -0.04945, nw = 1651 140514.0035.ec.fits: ap = 97, w1 = 3846.081, w2 = 3765.033, dw = -0.04912, nw = 1651 140514.0035.ec.fits: ap = 98, w1 = 3820.445, w2 = 3739.941, dw = -0.04879, nw = 1651 140514.0035.ec.fits: ap = 99, w1 = 3795.149, w2 = 3715.181, dw = -0.04847, nw = 1651 140514.0035.ec.fits: ap = 100, w1 = 3770.186, w2 = 3690.747, dw = -0.04814, nw = 1651 140514.0035.ec.fits: ap = 101, w1 = 3745.549, w2 = 3666.633, dw = -0.04783, nw = 1651 140514.0035.ec.fits: ap = 102, w1 = 3721.232, w2 = 3642.831, dw = -0.04752, nw = 1651 140514.0035.ec.fits: ap = 103, w1 = 3697.228, w2 = 3619.337, dw = -0.04721, nw = 1651 140514.0035.ec.fits: ap = 104, w1 = 3673.532, w2 = 3596.144, dw = -0.0469, nw = 1651 140514.0035.ec.fits: ap = 105, w1 = 3650.138, w2 = 3573.246, dw = -0.0466, nw = 1651 140514.0035.ec.fits: ap = 106, w1 = 3627.04, w2 = 3550.638, dw = -0.0463, nw = 1651 140514.0035.ec.fits: ap = 107, w1 = 3604.232, w2 = 3528.314, dw = -0.04601, nw = 1651 140514.0035.ec.fits: ap = 108, w1 = 3581.71, w2 = 3506.27, dw = -0.04572, nw = 1651 140514.0035.ec.fits: ap = 109, w1 = 3559.466, w2 = 3484.499, dw = -0.04543, nw = 1651 140514.0035.ec.fits: ap = 110, w1 = 3537.498, w2 = 3462.997, dw = -0.04515, nw = 1651 140514.0035.ec.fits: ap = 111, w1 = 3515.798, w2 = 3441.758, dw = -0.04487, nw = 1651 140514.0035.ec.fits: ap = 112, w1 = 3494.363, w2 = 3420.779, dw = -0.0446, nw = 1651 140514.0035.ec.fits: ap = 113, w1 = 3473.188, w2 = 3400.054, dw = -0.04432, nw = 1651 140514.0035.ec.fits: ap = 114, w1 = 3452.268, w2 = 3379.578, dw = -0.04405, nw = 1651 140514.0035.ec.fits: ap = 115, w1 = 3431.598, w2 = 3359.348, dw = -0.04379, nw = 1651 140514.0036.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.1294643' 140514.0036.ec.fits: REFSPEC2 = 'EchelleThAr.0037.ec 0.87053567' 140514.0036.ec.fits: ap = 1, w1 = 10811.1, w2 = 10582.87, dw = -0.13832, nw = 1651 140514.0036.ec.fits: ap = 2, w1 = 10610.9, w2 = 10386.91, dw = -0.13575, nw = 1651 140514.0036.ec.fits: ap = 3, w1 = 10417.99, w2 = 10198.07, dw = -0.13328, nw = 1651 140514.0036.ec.fits: ap = 4, w1 = 10231.97, w2 = 10015.98, dw = -0.1309, nw = 1651 140514.0036.ec.fits: ap = 5, w1 = 10052.47, w2 = 9840.276, dw = -0.12861, nw = 1651 140514.0036.ec.fits: ap = 6, w1 = 9879.169, w2 = 9670.63, dw = -0.12639, nw = 1651 140514.0036.ec.fits: ap = 7, w1 = 9711.738, w2 = 9506.735, dw = -0.12424, nw = 1651 140514.0036.ec.fits: ap = 8, w1 = 9549.888, w2 = 9348.303, dw = -0.12217, nw = 1651 140514.0036.ec.fits: ap = 9, w1 = 9393.344, w2 = 9195.066, dw = -0.12017, nw = 1651 140514.0036.ec.fits: ap = 10, w1 = 9241.85, w2 = 9046.772, dw = -0.11823, nw = 1651 140514.0036.ec.fits: ap = 11, w1 = 9095.165, w2 = 8903.186, dw = -0.11635, nw = 1651 140514.0036.ec.fits: ap = 12, w1 = 8953.065, w2 = 8764.086, dw = -0.11453, nw = 1651 140514.0036.ec.fits: ap = 13, w1 = 8815.336, w2 = 8629.267, dw = -0.11277, nw = 1651 140514.0036.ec.fits: ap = 14, w1 = 8681.781, w2 = 8498.533, dw = -0.11106, nw = 1651 140514.0036.ec.fits: ap = 15, w1 = 8552.213, w2 = 8371.701, dw = -0.1094, nw = 1651 140514.0036.ec.fits: ap = 16, w1 = 8426.455, w2 = 8248.6, dw = -0.10779, nw = 1651 140514.0036.ec.fits: ap = 17, w1 = 8304.343, w2 = 8129.067, dw = -0.10623, nw = 1651 140514.0036.ec.fits: ap = 18, w1 = 8185.719, w2 = 8012.95, dw = -0.10471, nw = 1651 140514.0036.ec.fits: ap = 19, w1 = 8070.438, w2 = 7900.103, dw = -0.10323, nw = 1651 140514.0036.ec.fits: ap = 20, w1 = 7958.358, w2 = 7790.391, dw = -0.1018, nw = 1651 140514.0036.ec.fits: ap = 21, w1 = 7849.349, w2 = 7683.685, dw = -0.1004, nw = 1651 140514.0036.ec.fits: ap = 22, w1 = 7743.286, w2 = 7579.863, dw = -0.09904, nw = 1651 140514.0036.ec.fits: ap = 23, w1 = 7640.052, w2 = 7478.809, dw = -0.09772, nw = 1651 140514.0036.ec.fits: ap = 24, w1 = 7539.534, w2 = 7380.415, dw = -0.09644, nw = 1651 140514.0036.ec.fits: ap = 25, w1 = 7441.627, w2 = 7284.576, dw = -0.09518, nw = 1651 140514.0036.ec.fits: ap = 26, w1 = 7346.231, w2 = 7191.195, dw = -0.09396, nw = 1651 140514.0036.ec.fits: ap = 27, w1 = 7253.25, w2 = 7100.178, dw = -0.09277, nw = 1651 140514.0036.ec.fits: ap = 28, w1 = 7162.593, w2 = 7011.437, dw = -0.09161, nw = 1651 140514.0036.ec.fits: ap = 29, w1 = 7074.175, w2 = 6924.887, dw = -0.09048, nw = 1651 140514.0036.ec.fits: ap = 30, w1 = 6987.913, w2 = 6840.447, dw = -0.08937, nw = 1651 140514.0036.ec.fits: ap = 31, w1 = 6903.73, w2 = 6758.043, dw = -0.0883, nw = 1651 140514.0036.ec.fits: ap = 32, w1 = 6821.551, w2 = 6677.601, dw = -0.08724, nw = 1651 140514.0036.ec.fits: ap = 33, w1 = 6741.306, w2 = 6599.051, dw = -0.08622, nw = 1651 140514.0036.ec.fits: ap = 34, w1 = 6662.928, w2 = 6522.328, dw = -0.08521, nw = 1651 140514.0036.ec.fits: ap = 35, w1 = 6586.351, w2 = 6447.369, dw = -0.08423, nw = 1651 140514.0036.ec.fits: ap = 36, w1 = 6511.514, w2 = 6374.114, dw = -0.08327, nw = 1651 140514.0036.ec.fits: ap = 37, w1 = 6438.36, w2 = 6302.505, dw = -0.08234, nw = 1651 140514.0036.ec.fits: ap = 38, w1 = 6366.831, w2 = 6232.487, dw = -0.08142, nw = 1651 140514.0036.ec.fits: ap = 39, w1 = 6296.874, w2 = 6164.008, dw = -0.08052, nw = 1651 140514.0036.ec.fits: ap = 40, w1 = 6228.438, w2 = 6097.018, dw = -0.07965, nw = 1651 140514.0036.ec.fits: ap = 41, w1 = 6161.473, w2 = 6031.469, dw = -0.07879, nw = 1651 140514.0036.ec.fits: ap = 42, w1 = 6095.934, w2 = 5967.314, dw = -0.07795, nw = 1651 140514.0036.ec.fits: ap = 43, w1 = 6031.774, w2 = 5904.51, dw = -0.07713, nw = 1651 140514.0036.ec.fits: ap = 44, w1 = 5968.952, w2 = 5843.015, dw = -0.07633, nw = 1651 140514.0036.ec.fits: ap = 45, w1 = 5907.424, w2 = 5782.788, dw = -0.07554, nw = 1651 140514.0036.ec.fits: ap = 46, w1 = 5847.152, w2 = 5723.789, dw = -0.07477, nw = 1651 140514.0036.ec.fits: ap = 47, w1 = 5788.098, w2 = 5665.983, dw = -0.07401, nw = 1651 140514.0036.ec.fits: ap = 48, w1 = 5730.225, w2 = 5609.333, dw = -0.07327, nw = 1651 140514.0036.ec.fits: ap = 49, w1 = 5673.498, w2 = 5553.805, dw = -0.07254, nw = 1651 140514.0036.ec.fits: ap = 50, w1 = 5617.884, w2 = 5499.366, dw = -0.07183, nw = 1651 140514.0036.ec.fits: ap = 51, w1 = 5563.349, w2 = 5445.983, dw = -0.07113, nw = 1651 140514.0036.ec.fits: ap = 52, w1 = 5509.864, w2 = 5393.628, dw = -0.07045, nw = 1651 140514.0036.ec.fits: ap = 53, w1 = 5457.397, w2 = 5342.27, dw = -0.06977, nw = 1651 140514.0036.ec.fits: ap = 54, w1 = 5405.92, w2 = 5291.88, dw = -0.06911, nw = 1651 140514.0036.ec.fits: ap = 55, w1 = 5355.405, w2 = 5242.433, dw = -0.06847, nw = 1651 140514.0036.ec.fits: ap = 56, w1 = 5305.826, w2 = 5193.902, dw = -0.06783, nw = 1651 140514.0036.ec.fits: ap = 57, w1 = 5257.156, w2 = 5146.261, dw = -0.06721, nw = 1651 140514.0036.ec.fits: ap = 58, w1 = 5209.372, w2 = 5099.486, dw = -0.0666, nw = 1651 140514.0036.ec.fits: ap = 59, w1 = 5162.448, w2 = 5053.555, dw = -0.066, nw = 1651 140514.0036.ec.fits: ap = 60, w1 = 5116.362, w2 = 5008.443, dw = -0.06541, nw = 1651 140514.0036.ec.fits: ap = 61, w1 = 5071.093, w2 = 4964.13, dw = -0.06483, nw = 1651 140514.0036.ec.fits: ap = 62, w1 = 5026.617, w2 = 4920.594, dw = -0.06426, nw = 1651 140514.0036.ec.fits: ap = 63, w1 = 4982.915, w2 = 4877.816, dw = -0.0637, nw = 1651 140514.0036.ec.fits: ap = 64, w1 = 4939.966, w2 = 4835.776, dw = -0.06315, nw = 1651 140514.0036.ec.fits: ap = 65, w1 = 4897.752, w2 = 4794.454, dw = -0.06261, nw = 1651 140514.0036.ec.fits: ap = 66, w1 = 4856.253, w2 = 4753.832, dw = -0.06207, nw = 1651 140514.0036.ec.fits: ap = 67, w1 = 4815.452, w2 = 4713.893, dw = -0.06155, nw = 1651 140514.0036.ec.fits: ap = 68, w1 = 4775.331, w2 = 4674.62, dw = -0.06104, nw = 1651 140514.0036.ec.fits: ap = 69, w1 = 4735.873, w2 = 4635.996, dw = -0.06053, nw = 1651 140514.0036.ec.fits: ap = 70, w1 = 4697.062, w2 = 4598.006, dw = -0.06003, nw = 1651 140514.0036.ec.fits: ap = 71, w1 = 4658.881, w2 = 4560.633, dw = -0.05954, nw = 1651 140514.0036.ec.fits: ap = 72, w1 = 4621.317, w2 = 4523.863, dw = -0.05906, nw = 1651 140514.0036.ec.fits: ap = 73, w1 = 4584.354, w2 = 4487.681, dw = -0.05859, nw = 1651 140514.0036.ec.fits: ap = 74, w1 = 4547.978, w2 = 4452.074, dw = -0.05812, nw = 1651 140514.0036.ec.fits: ap = 75, w1 = 4512.174, w2 = 4417.028, dw = -0.05766, nw = 1651 140514.0036.ec.fits: ap = 76, w1 = 4476.93, w2 = 4382.529, dw = -0.05721, nw = 1651 140514.0036.ec.fits: ap = 77, w1 = 4442.232, w2 = 4348.565, dw = -0.05677, nw = 1651 140514.0036.ec.fits: ap = 78, w1 = 4408.068, w2 = 4315.123, dw = -0.05633, nw = 1651 140514.0036.ec.fits: ap = 79, w1 = 4374.426, w2 = 4282.193, dw = -0.0559, nw = 1651 140514.0036.ec.fits: ap = 80, w1 = 4341.293, w2 = 4249.761, dw = -0.05547, nw = 1651 140514.0036.ec.fits: ap = 81, w1 = 4308.659, w2 = 4217.817, dw = -0.05506, nw = 1651 140514.0036.ec.fits: ap = 82, w1 = 4276.512, w2 = 4186.35, dw = -0.05464, nw = 1651 140514.0036.ec.fits: ap = 83, w1 = 4244.841, w2 = 4155.349, dw = -0.05424, nw = 1651 140514.0036.ec.fits: ap = 84, w1 = 4213.635, w2 = 4124.804, dw = -0.05384, nw = 1651 140514.0036.ec.fits: ap = 85, w1 = 4182.886, w2 = 4094.705, dw = -0.05344, nw = 1651 140514.0036.ec.fits: ap = 86, w1 = 4152.582, w2 = 4065.042, dw = -0.05305, nw = 1651 140514.0036.ec.fits: ap = 87, w1 = 4122.714, w2 = 4035.806, dw = -0.05267, nw = 1651 140514.0036.ec.fits: ap = 88, w1 = 4093.272, w2 = 4006.988, dw = -0.05229, nw = 1651 140514.0036.ec.fits: ap = 89, w1 = 4064.248, w2 = 3978.578, dw = -0.05192, nw = 1651 140514.0036.ec.fits: ap = 90, w1 = 4035.633, w2 = 3950.569, dw = -0.05155, nw = 1651 140514.0036.ec.fits: ap = 91, w1 = 4007.418, w2 = 3922.952, dw = -0.05119, nw = 1651 140514.0036.ec.fits: ap = 92, w1 = 3979.595, w2 = 3895.718, dw = -0.05083, nw = 1651 140514.0036.ec.fits: ap = 93, w1 = 3952.156, w2 = 3868.859, dw = -0.05048, nw = 1651 140514.0036.ec.fits: ap = 94, w1 = 3925.092, w2 = 3842.369, dw = -0.05014, nw = 1651 140514.0036.ec.fits: ap = 95, w1 = 3898.397, w2 = 3816.239, dw = -0.04979, nw = 1651 140514.0036.ec.fits: ap = 96, w1 = 3872.063, w2 = 3790.462, dw = -0.04945, nw = 1651 140514.0036.ec.fits: ap = 97, w1 = 3846.081, w2 = 3765.032, dw = -0.04912, nw = 1651 140514.0036.ec.fits: ap = 98, w1 = 3820.447, w2 = 3739.94, dw = -0.04879, nw = 1651 140514.0036.ec.fits: ap = 99, w1 = 3795.151, w2 = 3715.181, dw = -0.04847, nw = 1651 140514.0036.ec.fits: ap = 100, w1 = 3770.189, w2 = 3690.747, dw = -0.04815, nw = 1651 140514.0036.ec.fits: ap = 101, w1 = 3745.552, w2 = 3666.633, dw = -0.04783, nw = 1651 140514.0036.ec.fits: ap = 102, w1 = 3721.236, w2 = 3642.832, dw = -0.04752, nw = 1651 140514.0036.ec.fits: ap = 103, w1 = 3697.233, w2 = 3619.338, dw = -0.04721, nw = 1651 140514.0036.ec.fits: ap = 104, w1 = 3673.538, w2 = 3596.146, dw = -0.0469, nw = 1651 140514.0036.ec.fits: ap = 105, w1 = 3650.145, w2 = 3573.248, dw = -0.0466, nw = 1651 140514.0036.ec.fits: ap = 106, w1 = 3627.048, w2 = 3550.641, dw = -0.04631, nw = 1651 140514.0036.ec.fits: ap = 107, w1 = 3604.241, w2 = 3528.318, dw = -0.04601, nw = 1651 140514.0036.ec.fits: ap = 108, w1 = 3581.719, w2 = 3506.274, dw = -0.04572, nw = 1651 140514.0036.ec.fits: ap = 109, w1 = 3559.477, w2 = 3484.504, dw = -0.04544, nw = 1651 140514.0036.ec.fits: ap = 110, w1 = 3537.509, w2 = 3463.003, dw = -0.04516, nw = 1651 140514.0036.ec.fits: ap = 111, w1 = 3515.811, w2 = 3441.765, dw = -0.04488, nw = 1651 140514.0036.ec.fits: ap = 112, w1 = 3494.378, w2 = 3420.787, dw = -0.0446, nw = 1651 140514.0036.ec.fits: ap = 113, w1 = 3473.204, w2 = 3400.062, dw = -0.04433, nw = 1651 140514.0036.ec.fits: ap = 114, w1 = 3452.285, w2 = 3379.588, dw = -0.04406, nw = 1651 140514.0036.ec.fits: ap = 115, w1 = 3431.616, w2 = 3359.358, dw = -0.04379, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10811.1, w2 = 10583.03, dw = -0.13822, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10610.92, w2 = 10387.06, dw = -0.13567, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10418.03, w2 = 10198.23, dw = -0.13321, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10232.02, w2 = 10016.14, dw = -0.13084, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10052.54, w2 = 9840.431, dw = -0.12855, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9879.24, w2 = 9670.785, dw = -0.12634, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9711.818, w2 = 9506.89, dw = -0.1242, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9549.975, w2 = 9348.458, dw = -0.12213, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9393.438, w2 = 9195.22, dw = -0.12013, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9241.95, w2 = 9046.925, dw = -0.1182, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9095.27, w2 = 8903.337, dw = -0.11632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.174, w2 = 8764.237, dw = -0.11451, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8815.448, w2 = 8629.416, dw = -0.11275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8681.896, w2 = 8498.68, dw = -0.11104, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8552.33, w2 = 8371.847, dw = -0.10938, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8426.574, w2 = 8248.745, dw = -0.10778, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8304.463, w2 = 8129.21, dw = -0.10621, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8185.84, w2 = 8013.091, dw = -0.1047, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8070.558, w2 = 7900.242, dw = -0.10322, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7958.478, w2 = 7790.528, dw = -0.10179, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7849.469, w2 = 7683.82, dw = -0.10039, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7743.406, w2 = 7579.996, dw = -0.09904, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.17, w2 = 7478.94, dw = -0.09772, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7539.652, w2 = 7380.544, dw = -0.09643, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7441.743, w2 = 7284.703, dw = -0.09518, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.346, w2 = 7191.32, dw = -0.09395, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.363, w2 = 7100.301, dw = -0.09276, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7162.705, w2 = 7011.558, dw = -0.0916, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.285, w2 = 6925.006, dw = -0.09047, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.022, w2 = 6840.565, dw = -0.08937, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6903.837, w2 = 6758.158, dw = -0.08829, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6821.657, w2 = 6677.714, dw = -0.08724, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.41, w2 = 6599.162, dw = -0.08621, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.03, w2 = 6522.438, dw = -0.08521, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6586.452, w2 = 6447.477, dw = -0.08423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6511.614, w2 = 6374.22, dw = -0.08327, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.458, w2 = 6302.609, dw = -0.08233, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6366.927, w2 = 6232.59, dw = -0.08142, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6296.969, w2 = 6164.109, dw = -0.08052, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6228.532, w2 = 6097.118, dw = -0.07964, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6161.566, w2 = 6031.567, dw = -0.07879, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.026, w2 = 5967.411, dw = -0.07795, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6031.865, w2 = 5904.606, dw = -0.07713, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.041, w2 = 5843.109, dw = -0.07632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5907.513, w2 = 5782.88, dw = -0.07554, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.24, w2 = 5723.88, dw = -0.07476, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.186, w2 = 5666.073, dw = -0.07401, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.312, w2 = 5609.422, dw = -0.07327, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5673.585, w2 = 5553.892, dw = -0.07254, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5617.969, w2 = 5499.452, dw = -0.07183, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.434, w2 = 5446.069, dw = -0.07113, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5509.948, w2 = 5393.712, dw = -0.07045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.481, w2 = 5342.353, dw = -0.06977, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.004, w2 = 5291.963, dw = -0.06912, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.489, w2 = 5242.514, dw = -0.06847, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5305.909, w2 = 5193.982, dw = -0.06783, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.24, w2 = 5146.34, dw = -0.06721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.455, w2 = 5099.565, dw = -0.0666, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.531, w2 = 5053.632, dw = -0.066, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.446, w2 = 5008.52, dw = -0.06541, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.176, w2 = 4964.206, dw = -0.06483, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5026.7, w2 = 4920.67, dw = -0.06426, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4982.998, w2 = 4877.891, dw = -0.0637, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.049, w2 = 4835.85, dw = -0.06315, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4897.834, w2 = 4794.527, dw = -0.06261, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.335, w2 = 4753.905, dw = -0.06208, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.534, w2 = 4713.966, dw = -0.06156, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.412, w2 = 4674.692, dw = -0.06104, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4735.954, w2 = 4636.068, dw = -0.06054, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.142, w2 = 4598.076, dw = -0.06004, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4658.961, w2 = 4560.703, dw = -0.05955, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.396, w2 = 4523.933, dw = -0.05907, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.432, w2 = 4487.75, dw = -0.05859, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.055, w2 = 4452.143, dw = -0.05813, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.25, w2 = 4417.096, dw = -0.05767, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.004, w2 = 4382.596, dw = -0.05722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.305, w2 = 4348.632, dw = -0.05677, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.139, w2 = 4315.19, dw = -0.05633, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.495, w2 = 4282.259, dw = -0.0559, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.361, w2 = 4249.827, dw = -0.05548, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4308.724, w2 = 4217.882, dw = -0.05506, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.574, w2 = 4186.414, dw = -0.05464, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4244.9, w2 = 4155.413, dw = -0.05423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4213.692, w2 = 4124.867, dw = -0.05383, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4182.939, w2 = 4094.767, dw = -0.05344, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4152.631, w2 = 4065.104, dw = -0.05305, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4122.759, w2 = 4035.867, dw = -0.05266, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.313, w2 = 4007.048, dw = -0.05228, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.285, w2 = 3978.638, dw = -0.05191, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4035.664, w2 = 3950.628, dw = -0.05154, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.444, w2 = 3923.009, dw = -0.05117, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3979.615, w2 = 3895.774, dw = -0.05081, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.17, w2 = 3868.915, dw = -0.05046, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.1, w2 = 3842.424, dw = -0.05011, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.397, w2 = 3816.293, dw = -0.04976, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.055, w2 = 3790.515, dw = -0.04942, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.066, w2 = 3765.083, dw = -0.04908, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.423, w2 = 3739.99, dw = -0.04875, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.119, w2 = 3715.229, dw = -0.04842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.147, w2 = 3690.794, dw = -0.04809, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3745.501, w2 = 3666.679, dw = -0.04777, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.174, w2 = 3642.876, dw = -0.04745, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.16, w2 = 3619.381, dw = -0.04714, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.453, w2 = 3596.186, dw = -0.04683, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.048, w2 = 3573.287, dw = -0.04652, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3626.938, w2 = 3550.678, dw = -0.04622, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.118, w2 = 3528.353, dw = -0.04592, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3581.582, w2 = 3506.307, dw = -0.04562, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.325, w2 = 3484.535, dw = -0.04533, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.342, w2 = 3463.031, dw = -0.04504, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3515.628, w2 = 3441.791, dw = -0.04475, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.177, w2 = 3420.81, dw = -0.04447, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3472.986, w2 = 3400.083, dw = -0.04418, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.049, w2 = 3379.605, dw = -0.04391, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3431.361, w2 = 3359.373, dw = -0.04363, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10811.22, w2 = 10583.03, dw = -0.1383, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10611.03, w2 = 10387.06, dw = -0.13574, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10418.12, w2 = 10198.22, dw = -0.13327, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10232.09, w2 = 10016.13, dw = -0.13089, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10052.6, w2 = 9840.423, dw = -0.12859, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9879.291, w2 = 9670.776, dw = -0.12637, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9711.86, w2 = 9506.879, dw = -0.12423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.009, w2 = 9348.445, dw = -0.12216, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9393.464, w2 = 9195.206, dw = -0.12016, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9241.97, w2 = 9046.91, dw = -0.11822, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9095.284, w2 = 8903.322, dw = -0.11634, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8953.183, w2 = 8764.221, dw = -0.11452, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8815.454, w2 = 8629.4, dw = -0.11276, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8681.898, w2 = 8498.665, dw = -0.11105, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8552.329, w2 = 8371.832, dw = -0.10939, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8426.571, w2 = 8248.729, dw = -0.10778, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8304.458, w2 = 8129.195, dw = -0.10622, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8185.834, w2 = 8013.076, dw = -0.1047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8070.552, w2 = 7900.228, dw = -0.10323, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7958.472, w2 = 7790.514, dw = -0.10179, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7849.462, w2 = 7683.807, dw = -0.1004, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7743.398, w2 = 7579.983, dw = -0.09904, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.163, w2 = 7478.928, dw = -0.09772, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7539.645, w2 = 7380.533, dw = -0.09643, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7441.737, w2 = 7284.693, dw = -0.09518, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7346.34, w2 = 7191.31, dw = -0.09396, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7253.358, w2 = 7100.292, dw = -0.09277, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7162.701, w2 = 7011.55, dw = -0.09161, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.282, w2 = 6924.998, dw = -0.09047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.019, w2 = 6840.558, dw = -0.08937, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6903.835, w2 = 6758.152, dw = -0.08829, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6821.656, w2 = 6677.709, dw = -0.08724, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6741.41, w2 = 6599.158, dw = -0.08621, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.03, w2 = 6522.434, dw = -0.08521, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6586.452, w2 = 6447.474, dw = -0.08423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6511.615, w2 = 6374.218, dw = -0.08327, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6438.459, w2 = 6302.608, dw = -0.08233, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6366.929, w2 = 6232.589, dw = -0.08142, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6296.971, w2 = 6164.109, dw = -0.08052, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6228.534, w2 = 6097.118, dw = -0.07965, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6161.569, w2 = 6031.568, dw = -0.07879, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.029, w2 = 5967.412, dw = -0.07795, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6031.868, w2 = 5904.608, dw = -0.07713, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.044, w2 = 5843.111, dw = -0.07632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5907.516, w2 = 5782.883, dw = -0.07554, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.243, w2 = 5723.884, dw = -0.07476, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.188, w2 = 5666.077, dw = -0.07401, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.314, w2 = 5609.426, dw = -0.07327, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5673.586, w2 = 5553.897, dw = -0.07254, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5617.971, w2 = 5499.457, dw = -0.07183, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.435, w2 = 5446.074, dw = -0.07113, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5509.948, w2 = 5393.718, dw = -0.07044, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.481, w2 = 5342.359, dw = -0.06977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.003, w2 = 5291.969, dw = -0.06911, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.487, w2 = 5242.521, dw = -0.06846, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5305.907, w2 = 5193.989, dw = -0.06783, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.237, w2 = 5146.347, dw = -0.06721, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.452, w2 = 5099.572, dw = -0.06659, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5162.528, w2 = 5053.639, dw = -0.06599, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.442, w2 = 5008.527, dw = -0.0654, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.171, w2 = 4964.214, dw = -0.06482, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5026.695, w2 = 4920.678, dw = -0.06425, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4982.993, w2 = 4877.899, dw = -0.06369, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.044, w2 = 4835.858, dw = -0.06314, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4897.829, w2 = 4794.535, dw = -0.0626, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.33, w2 = 4753.913, dw = -0.06207, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.529, w2 = 4713.974, dw = -0.06155, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.407, w2 = 4674.7, dw = -0.06103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4735.949, w2 = 4636.076, dw = -0.06053, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.138, w2 = 4598.085, dw = -0.06003, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4658.958, w2 = 4560.712, dw = -0.05954, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.395, w2 = 4523.942, dw = -0.05906, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.432, w2 = 4487.76, dw = -0.05859, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.056, w2 = 4452.152, dw = -0.05812, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.253, w2 = 4417.105, dw = -0.05767, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.009, w2 = 4382.606, dw = -0.05721, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.313, w2 = 4348.642, dw = -0.05677, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.15, w2 = 4315.201, dw = -0.05633, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.508, w2 = 4282.27, dw = -0.0559, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.377, w2 = 4249.838, dw = -0.05548, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4308.744, w2 = 4217.894, dw = -0.05506, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.598, w2 = 4186.426, dw = -0.05465, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4244.929, w2 = 4155.425, dw = -0.05424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4213.725, w2 = 4124.88, dw = -0.05385, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4182.978, w2 = 4094.781, dw = -0.05345, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4152.676, w2 = 4065.118, dw = -0.05307, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4122.81, w2 = 4035.882, dw = -0.05268, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.371, w2 = 4007.064, dw = -0.05231, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.349, w2 = 3978.655, dw = -0.05194, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4035.737, w2 = 3950.645, dw = -0.05157, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.525, w2 = 3923.028, dw = -0.05121, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3979.705, w2 = 3895.794, dw = -0.05086, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.269, w2 = 3868.936, dw = -0.0505, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.209, w2 = 3842.446, dw = -0.05016, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.517, w2 = 3816.316, dw = -0.04982, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.187, w2 = 3790.54, dw = -0.04948, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.209, w2 = 3765.109, dw = -0.04915, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.579, w2 = 3740.018, dw = -0.04882, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.288, w2 = 3715.259, dw = -0.0485, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.33, w2 = 3690.826, dw = -0.04818, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.699, w2 = 3666.712, dw = -0.04787, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.387, w2 = 3642.912, dw = -0.04756, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.39, w2 = 3619.419, dw = -0.04726, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.7, w2 = 3596.227, dw = -0.04695, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.313, w2 = 3573.33, dw = -0.04666, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.222, w2 = 3550.723, dw = -0.04636, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.421, w2 = 3528.401, dw = -0.04607, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3581.906, w2 = 3506.358, dw = -0.04579, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.67, w2 = 3484.588, dw = -0.0455, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.71, w2 = 3463.088, dw = -0.04523, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.019, w2 = 3441.851, dw = -0.04495, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.593, w2 = 3420.873, dw = -0.04468, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.427, w2 = 3400.15, dw = -0.04441, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.516, w2 = 3379.676, dw = -0.04415, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.856, w2 = 3359.448, dw = -0.04388, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10811.24, w2 = 10583., dw = -0.13833, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10611.05, w2 = 10387.04, dw = -0.13576, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10418.13, w2 = 10198.21, dw = -0.13329, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10232.11, w2 = 10016.11, dw = -0.1309, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10052.61, w2 = 9840.411, dw = -0.1286, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9879.3, w2 = 9670.766, dw = -0.12638, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9711.866, w2 = 9506.872, dw = -0.12424, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.014, w2 = 9348.441, dw = -0.12217, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9393.468, w2 = 9195.204, dw = -0.12016, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9241.973, w2 = 9046.909, dw = -0.11822, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9095.286, w2 = 8903.323, dw = -0.11634, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8953.184, w2 = 8764.223, dw = -0.11452, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8815.454, w2 = 8629.403, dw = -0.11276, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8681.897, w2 = 8498.668, dw = -0.11105, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8552.328, w2 = 8371.836, dw = -0.10939, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8426.569, w2 = 8248.734, dw = -0.10778, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8304.456, w2 = 8129.2, dw = -0.10622, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8185.831, w2 = 8013.082, dw = -0.1047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8070.549, w2 = 7900.234, dw = -0.10322, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7958.468, w2 = 7790.52, dw = -0.10179, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7849.458, w2 = 7683.813, dw = -0.10039, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7743.395, w2 = 7579.989, dw = -0.09903, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.16, w2 = 7478.934, dw = -0.09771, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7539.641, w2 = 7380.538, dw = -0.09643, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7441.734, w2 = 7284.698, dw = -0.09517, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7346.337, w2 = 7191.316, dw = -0.09395, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7253.355, w2 = 7100.297, dw = -0.09276, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7162.698, w2 = 7011.554, dw = -0.0916, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.279, w2 = 6925.002, dw = -0.09047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.017, w2 = 6840.562, dw = -0.08937, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6903.833, w2 = 6758.156, dw = -0.08829, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6821.654, w2 = 6677.712, dw = -0.08724, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6741.408, w2 = 6599.16, dw = -0.08621, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.029, w2 = 6522.436, dw = -0.08521, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6586.452, w2 = 6447.475, dw = -0.08423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6511.615, w2 = 6374.219, dw = -0.08327, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6438.459, w2 = 6302.608, dw = -0.08233, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6366.93, w2 = 6232.589, dw = -0.08142, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6296.972, w2 = 6164.109, dw = -0.08052, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6228.536, w2 = 6097.117, dw = -0.07965, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6161.571, w2 = 6031.566, dw = -0.07879, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.031, w2 = 5967.41, dw = -0.07795, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6031.871, w2 = 5904.605, dw = -0.07713, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.047, w2 = 5843.108, dw = -0.07633, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5907.519, w2 = 5782.88, dw = -0.07554, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.246, w2 = 5723.88, dw = -0.07477, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.192, w2 = 5666.073, dw = -0.07401, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.318, w2 = 5609.421, dw = -0.07327, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5673.59, w2 = 5553.892, dw = -0.07254, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5617.975, w2 = 5499.452, dw = -0.07183, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.439, w2 = 5446.068, dw = -0.07113, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5509.953, w2 = 5393.712, dw = -0.07045, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5457.485, w2 = 5342.352, dw = -0.06978, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.007, w2 = 5291.962, dw = -0.06912, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5355.491, w2 = 5242.514, dw = -0.06847, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5305.911, w2 = 5193.982, dw = -0.06784, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.241, w2 = 5146.34, dw = -0.06721, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.455, w2 = 5099.565, dw = -0.0666, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5162.531, w2 = 5053.632, dw = -0.066, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.444, w2 = 5008.52, dw = -0.06541, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.174, w2 = 4964.206, dw = -0.06483, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5026.697, w2 = 4920.67, dw = -0.06426, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4982.994, w2 = 4877.891, dw = -0.0637, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.044, w2 = 4835.85, dw = -0.06315, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4897.829, w2 = 4794.527, dw = -0.06261, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.329, w2 = 4753.905, dw = -0.06208, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.527, w2 = 4713.966, dw = -0.06155, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.404, w2 = 4674.692, dw = -0.06104, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4735.945, w2 = 4636.068, dw = -0.06053, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.133, w2 = 4598.077, dw = -0.06003, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4658.952, w2 = 4560.703, dw = -0.05954, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.386, w2 = 4523.933, dw = -0.05906, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.422, w2 = 4487.751, dw = -0.05859, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.044, w2 = 4452.143, dw = -0.05812, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.24, w2 = 4417.097, dw = -0.05766, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4476.994, w2 = 4382.598, dw = -0.05721, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.296, w2 = 4348.633, dw = -0.05676, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.131, w2 = 4315.192, dw = -0.05633, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.487, w2 = 4282.261, dw = -0.05589, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.353, w2 = 4249.829, dw = -0.05547, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4308.718, w2 = 4217.885, dw = -0.05505, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4276.57, w2 = 4186.418, dw = -0.05464, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4244.897, w2 = 4155.416, dw = -0.05423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4213.691, w2 = 4124.871, dw = -0.05383, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4182.94, w2 = 4094.772, dw = -0.05344, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4152.635, w2 = 4065.109, dw = -0.05305, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4122.766, w2 = 4035.873, dw = -0.05266, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.323, w2 = 4007.055, dw = -0.05228, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.298, w2 = 3978.645, dw = -0.05191, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4035.682, w2 = 3950.636, dw = -0.05154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.466, w2 = 3923.018, dw = -0.05118, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3979.642, w2 = 3895.784, dw = -0.05082, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.202, w2 = 3868.926, dw = -0.05047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.138, w2 = 3842.435, dw = -0.05012, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.442, w2 = 3816.305, dw = -0.04978, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.106, w2 = 3790.528, dw = -0.04944, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.124, w2 = 3765.097, dw = -0.04911, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.488, w2 = 3740.006, dw = -0.04878, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.192, w2 = 3715.246, dw = -0.04845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.229, w2 = 3690.812, dw = -0.04813, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.592, w2 = 3666.698, dw = -0.04781, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.275, w2 = 3642.897, dw = -0.0475, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.271, w2 = 3619.403, dw = -0.04719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.576, w2 = 3596.21, dw = -0.04689, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.182, w2 = 3573.313, dw = -0.04659, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.084, w2 = 3550.705, dw = -0.04629, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.277, w2 = 3528.382, dw = -0.046, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3581.754, w2 = 3506.338, dw = -0.04571, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.512, w2 = 3484.567, dw = -0.04542, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.544, w2 = 3463.065, dw = -0.04514, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3515.845, w2 = 3441.827, dw = -0.04486, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.412, w2 = 3420.848, dw = -0.04458, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.237, w2 = 3400.124, dw = -0.04431, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.318, w2 = 3379.648, dw = -0.04404, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3431.65, w2 = 3359.418, dw = -0.04378, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10811.21, w2 = 10583.02, dw = -0.1383, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.02, w2 = 10387.05, dw = -0.13574, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10418.1, w2 = 10198.21, dw = -0.13327, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10232.08, w2 = 10016.11, dw = -0.13089, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10052.59, w2 = 9840.409, dw = -0.12859, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9879.278, w2 = 9670.761, dw = -0.12637, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9711.846, w2 = 9506.865, dw = -0.12423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9549.996, w2 = 9348.431, dw = -0.12216, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9393.451, w2 = 9195.193, dw = -0.12016, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9241.956, w2 = 9046.897, dw = -0.11822, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9095.271, w2 = 8903.309, dw = -0.11634, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.17, w2 = 8764.208, dw = -0.11452, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8815.441, w2 = 8629.388, dw = -0.11276, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8681.885, w2 = 8498.653, dw = -0.11105, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8552.316, w2 = 8371.82, dw = -0.10939, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8426.558, w2 = 8248.717, dw = -0.10778, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8304.445, w2 = 8129.183, dw = -0.10622, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8185.821, w2 = 8013.065, dw = -0.1047, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8070.539, w2 = 7900.217, dw = -0.10323, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7958.458, w2 = 7790.503, dw = -0.10179, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7849.449, w2 = 7683.796, dw = -0.1004, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7743.386, w2 = 7579.973, dw = -0.09904, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.151, w2 = 7478.918, dw = -0.09772, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7539.632, w2 = 7380.523, dw = -0.09643, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7441.725, w2 = 7284.683, dw = -0.09518, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.328, w2 = 7191.301, dw = -0.09396, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.346, w2 = 7100.283, dw = -0.09277, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7162.689, w2 = 7011.54, dw = -0.0916, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.27, w2 = 6924.989, dw = -0.09047, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.007, w2 = 6840.549, dw = -0.08937, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6903.824, w2 = 6758.143, dw = -0.08829, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6821.644, w2 = 6677.7, dw = -0.08724, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.399, w2 = 6599.149, dw = -0.08621, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.019, w2 = 6522.425, dw = -0.08521, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6586.442, w2 = 6447.465, dw = -0.08423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6511.604, w2 = 6374.209, dw = -0.08327, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6438.449, w2 = 6302.599, dw = -0.08233, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6366.919, w2 = 6232.58, dw = -0.08142, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6296.962, w2 = 6164.1, dw = -0.08052, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6228.525, w2 = 6097.109, dw = -0.07965, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6161.56, w2 = 6031.559, dw = -0.07879, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.02, w2 = 5967.403, dw = -0.07795, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6031.859, w2 = 5904.599, dw = -0.07713, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.036, w2 = 5843.102, dw = -0.07632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5907.507, w2 = 5782.874, dw = -0.07554, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.235, w2 = 5723.875, dw = -0.07476, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.18, w2 = 5666.067, dw = -0.07401, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.306, w2 = 5609.417, dw = -0.07327, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5673.579, w2 = 5553.887, dw = -0.07254, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5617.963, w2 = 5499.447, dw = -0.07183, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.428, w2 = 5446.064, dw = -0.07113, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5509.941, w2 = 5393.708, dw = -0.07044, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.474, w2 = 5342.349, dw = -0.06977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5405.996, w2 = 5291.959, dw = -0.06911, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.48, w2 = 5242.511, dw = -0.06847, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5305.901, w2 = 5193.979, dw = -0.06783, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.23, w2 = 5146.337, dw = -0.06721, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.445, w2 = 5099.562, dw = -0.0666, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.521, w2 = 5053.629, dw = -0.066, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.435, w2 = 5008.517, dw = -0.0654, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.165, w2 = 4964.203, dw = -0.06483, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5026.689, w2 = 4920.667, dw = -0.06426, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4982.986, w2 = 4877.888, dw = -0.0637, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.037, w2 = 4835.847, dw = -0.06315, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4897.822, w2 = 4794.525, dw = -0.0626, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.323, w2 = 4753.903, dw = -0.06207, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.522, w2 = 4713.963, dw = -0.06155, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.4, w2 = 4674.69, dw = -0.06104, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4735.942, w2 = 4636.066, dw = -0.06053, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.131, w2 = 4598.075, dw = -0.06003, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4658.95, w2 = 4560.702, dw = -0.05954, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.386, w2 = 4523.931, dw = -0.05906, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.423, w2 = 4487.75, dw = -0.05859, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.047, w2 = 4452.142, dw = -0.05812, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.243, w2 = 4417.096, dw = -0.05767, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4476.999, w2 = 4382.597, dw = -0.05721, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.302, w2 = 4348.633, dw = -0.05677, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.138, w2 = 4315.192, dw = -0.05633, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.497, w2 = 4282.261, dw = -0.0559, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.365, w2 = 4249.83, dw = -0.05548, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4308.731, w2 = 4217.886, dw = -0.05506, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.584, w2 = 4186.419, dw = -0.05465, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4244.914, w2 = 4155.419, dw = -0.05424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4213.71, w2 = 4124.874, dw = -0.05384, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4182.961, w2 = 4094.776, dw = -0.05345, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4152.658, w2 = 4065.114, dw = -0.05306, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4122.791, w2 = 4035.878, dw = -0.05267, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.351, w2 = 4007.061, dw = -0.0523, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.329, w2 = 3978.652, dw = -0.05193, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4035.715, w2 = 3950.644, dw = -0.05156, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.502, w2 = 3923.027, dw = -0.0512, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3979.68, w2 = 3895.794, dw = -0.05084, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.243, w2 = 3868.937, dw = -0.05049, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.182, w2 = 3842.448, dw = -0.05014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.488, w2 = 3816.319, dw = -0.0498, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.156, w2 = 3790.544, dw = -0.04946, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.177, w2 = 3765.115, dw = -0.04913, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.545, w2 = 3740.025, dw = -0.0488, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.252, w2 = 3715.267, dw = -0.04848, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.292, w2 = 3690.835, dw = -0.04816, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3745.659, w2 = 3666.723, dw = -0.04784, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.346, w2 = 3642.924, dw = -0.04753, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.346, w2 = 3619.432, dw = -0.04722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.654, w2 = 3596.242, dw = -0.04692, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.265, w2 = 3573.347, dw = -0.04662, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.171, w2 = 3550.742, dw = -0.04632, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.368, w2 = 3528.422, dw = -0.04603, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3581.85, w2 = 3506.38, dw = -0.04574, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.612, w2 = 3484.613, dw = -0.04545, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.649, w2 = 3463.115, dw = -0.04517, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3515.955, w2 = 3441.88, dw = -0.04489, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.526, w2 = 3420.904, dw = -0.04462, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.357, w2 = 3400.183, dw = -0.04435, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.443, w2 = 3379.712, dw = -0.04408, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3431.78, w2 = 3359.486, dw = -0.04381, nw = 1651 EchelleThAr.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 1.' zEchelleThAr.0024.ec.fits: ap = 1, w1 = 10811.18, w2 = 10582.94, dw = -0.13832, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 2, w1 = 10610.99, w2 = 10386.98, dw = -0.13576, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 3, w1 = 10418.07, w2 = 10198.14, dw = -0.13329, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 4, w1 = 10232.05, w2 = 10016.05, dw = -0.13091, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 5, w1 = 10052.55, w2 = 9840.347, dw = -0.12861, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 6, w1 = 9879.241, w2 = 9670.702, dw = -0.12639, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 7, w1 = 9711.808, w2 = 9506.807, dw = -0.12424, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 8, w1 = 9549.956, w2 = 9348.375, dw = -0.12217, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 9, w1 = 9393.411, w2 = 9195.137, dw = -0.12017, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 10, w1 = 9241.915, w2 = 9046.843, dw = -0.11823, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 11, w1 = 9095.229, w2 = 8903.256, dw = -0.11635, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 12, w1 = 8953.127, w2 = 8764.156, dw = -0.11453, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 13, w1 = 8815.398, w2 = 8629.336, dw = -0.11276, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 14, w1 = 8681.842, w2 = 8498.602, dw = -0.11105, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 15, w1 = 8552.273, w2 = 8371.77, dw = -0.1094, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 16, w1 = 8426.515, w2 = 8248.668, dw = -0.10779, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 17, w1 = 8304.402, w2 = 8129.134, dw = -0.10622, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 18, w1 = 8185.778, w2 = 8013.016, dw = -0.1047, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 19, w1 = 8070.495, w2 = 7900.168, dw = -0.10323, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 20, w1 = 7958.415, w2 = 7790.455, dw = -0.10179, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 21, w1 = 7849.406, w2 = 7683.748, dw = -0.1004, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 22, w1 = 7743.342, w2 = 7579.925, dw = -0.09904, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 23, w1 = 7640.108, w2 = 7478.871, dw = -0.09772, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 24, w1 = 7539.589, w2 = 7380.476, dw = -0.09643, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 25, w1 = 7441.682, w2 = 7284.637, dw = -0.09518, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 26, w1 = 7346.286, w2 = 7191.255, dw = -0.09396, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 27, w1 = 7253.304, w2 = 7100.237, dw = -0.09277, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 28, w1 = 7162.647, w2 = 7011.495, dw = -0.09161, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 29, w1 = 7074.229, w2 = 6924.944, dw = -0.09048, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 30, w1 = 6987.967, w2 = 6840.504, dw = -0.08937, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 31, w1 = 6903.783, w2 = 6758.098, dw = -0.08829, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 32, w1 = 6821.604, w2 = 6677.655, dw = -0.08724, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 33, w1 = 6741.359, w2 = 6599.105, dw = -0.08621, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 34, w1 = 6662.98, w2 = 6522.381, dw = -0.08521, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 35, w1 = 6586.403, w2 = 6447.421, dw = -0.08423, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 36, w1 = 6511.566, w2 = 6374.165, dw = -0.08327, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 37, w1 = 6438.411, w2 = 6302.556, dw = -0.08234, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 38, w1 = 6366.882, w2 = 6232.537, dw = -0.08142, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 39, w1 = 6296.925, w2 = 6164.058, dw = -0.08053, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 40, w1 = 6228.489, w2 = 6097.067, dw = -0.07965, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 41, w1 = 6161.524, w2 = 6031.517, dw = -0.07879, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 42, w1 = 6095.984, w2 = 5967.362, dw = -0.07795, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 43, w1 = 6031.824, w2 = 5904.557, dw = -0.07713, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 44, w1 = 5969.001, w2 = 5843.061, dw = -0.07633, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 45, w1 = 5907.473, w2 = 5782.833, dw = -0.07554, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 46, w1 = 5847.201, w2 = 5723.835, dw = -0.07477, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 47, w1 = 5788.147, w2 = 5666.028, dw = -0.07401, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 48, w1 = 5730.274, w2 = 5609.378, dw = -0.07327, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 49, w1 = 5673.546, w2 = 5553.849, dw = -0.07254, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 50, w1 = 5617.931, w2 = 5499.409, dw = -0.07183, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 51, w1 = 5563.396, w2 = 5446.027, dw = -0.07113, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 52, w1 = 5509.91, w2 = 5393.671, dw = -0.07045, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 53, w1 = 5457.443, w2 = 5342.312, dw = -0.06978, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 54, w1 = 5405.965, w2 = 5291.923, dw = -0.06912, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 55, w1 = 5355.45, w2 = 5242.475, dw = -0.06847, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 56, w1 = 5305.871, w2 = 5193.943, dw = -0.06783, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 57, w1 = 5257.201, w2 = 5146.302, dw = -0.06721, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 58, w1 = 5209.416, w2 = 5099.527, dw = -0.0666, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 59, w1 = 5162.492, w2 = 5053.596, dw = -0.066, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 60, w1 = 5116.406, w2 = 5008.484, dw = -0.06541, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 61, w1 = 5071.136, w2 = 4964.171, dw = -0.06483, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 62, w1 = 5026.661, w2 = 4920.635, dw = -0.06426, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 63, w1 = 4982.958, w2 = 4877.857, dw = -0.0637, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 64, w1 = 4940.009, w2 = 4835.816, dw = -0.06315, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 65, w1 = 4897.795, w2 = 4794.494, dw = -0.06261, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 66, w1 = 4856.296, w2 = 4753.872, dw = -0.06207, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 67, w1 = 4815.495, w2 = 4713.934, dw = -0.06155, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 68, w1 = 4775.373, w2 = 4674.661, dw = -0.06104, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 69, w1 = 4735.915, w2 = 4636.037, dw = -0.06053, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 70, w1 = 4697.104, w2 = 4598.046, dw = -0.06003, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 71, w1 = 4658.924, w2 = 4560.674, dw = -0.05955, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 72, w1 = 4621.36, w2 = 4523.904, dw = -0.05906, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 73, w1 = 4584.397, w2 = 4487.722, dw = -0.05859, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 74, w1 = 4548.02, w2 = 4452.115, dw = -0.05812, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 75, w1 = 4512.217, w2 = 4417.069, dw = -0.05767, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 76, w1 = 4476.973, w2 = 4382.57, dw = -0.05721, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 77, w1 = 4442.276, w2 = 4348.606, dw = -0.05677, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 78, w1 = 4408.112, w2 = 4315.165, dw = -0.05633, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 79, w1 = 4374.47, w2 = 4282.235, dw = -0.0559, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 80, w1 = 4341.338, w2 = 4249.803, dw = -0.05548, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 81, w1 = 4308.705, w2 = 4217.86, dw = -0.05506, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 82, w1 = 4276.558, w2 = 4186.393, dw = -0.05465, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 83, w1 = 4244.888, w2 = 4155.392, dw = -0.05424, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 84, w1 = 4213.683, w2 = 4124.848, dw = -0.05384, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 85, w1 = 4182.935, w2 = 4094.749, dw = -0.05345, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 86, w1 = 4152.631, w2 = 4065.086, dw = -0.05306, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 87, w1 = 4122.764, w2 = 4035.851, dw = -0.05268, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 88, w1 = 4093.324, w2 = 4007.033, dw = -0.0523, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 89, w1 = 4064.302, w2 = 3978.624, dw = -0.05193, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 90, w1 = 4035.688, w2 = 3950.615, dw = -0.05156, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 91, w1 = 4007.475, w2 = 3922.998, dw = -0.0512, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 92, w1 = 3979.653, w2 = 3895.764, dw = -0.05084, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 93, w1 = 3952.216, w2 = 3868.906, dw = -0.05049, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 94, w1 = 3925.154, w2 = 3842.416, dw = -0.05014, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 95, w1 = 3898.46, w2 = 3816.287, dw = -0.0498, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 96, w1 = 3872.128, w2 = 3790.51, dw = -0.04947, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 97, w1 = 3846.149, w2 = 3765.08, dw = -0.04913, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 98, w1 = 3820.516, w2 = 3739.989, dw = -0.0488, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 99, w1 = 3795.224, w2 = 3715.23, dw = -0.04848, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 100, w1 = 3770.264, w2 = 3690.797, dw = -0.04816, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 101, w1 = 3745.63, w2 = 3666.683, dw = -0.04785, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 102, w1 = 3721.316, w2 = 3642.883, dw = -0.04754, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 103, w1 = 3697.317, w2 = 3619.389, dw = -0.04723, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 104, w1 = 3673.625, w2 = 3596.197, dw = -0.04693, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 105, w1 = 3650.235, w2 = 3573.3, dw = -0.04663, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 106, w1 = 3627.141, w2 = 3550.693, dw = -0.04633, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 107, w1 = 3604.337, w2 = 3528.371, dw = -0.04604, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 108, w1 = 3581.819, w2 = 3506.327, dw = -0.04575, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 109, w1 = 3559.581, w2 = 3484.557, dw = -0.04547, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 110, w1 = 3537.618, w2 = 3463.056, dw = -0.04519, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 111, w1 = 3515.924, w2 = 3441.819, dw = -0.04491, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 112, w1 = 3494.494, w2 = 3420.841, dw = -0.04464, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 113, w1 = 3473.325, w2 = 3400.117, dw = -0.04437, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 114, w1 = 3452.411, w2 = 3379.643, dw = -0.0441, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 115, w1 = 3431.747, w2 = 3359.414, dw = -0.04384, nw = 1651 EchelleThAr.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 1.' zEchelleThAr.0028.ec.fits: ap = 1, w1 = 10811.11, w2 = 10582.9, dw = -0.13831, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 2, w1 = 10610.92, w2 = 10386.93, dw = -0.13575, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 3, w1 = 10418.01, w2 = 10198.1, dw = -0.13328, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 4, w1 = 10231.99, w2 = 10016.01, dw = -0.1309, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 5, w1 = 10052.49, w2 = 9840.302, dw = -0.1286, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 6, w1 = 9879.19, w2 = 9670.658, dw = -0.12638, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 7, w1 = 9711.761, w2 = 9506.763, dw = -0.12424, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 8, w1 = 9549.912, w2 = 9348.332, dw = -0.12217, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 9, w1 = 9393.369, w2 = 9195.095, dw = -0.12017, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 10, w1 = 9241.876, w2 = 9046.802, dw = -0.11823, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 11, w1 = 9095.193, w2 = 8903.215, dw = -0.11635, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 12, w1 = 8953.093, w2 = 8764.116, dw = -0.11453, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 13, w1 = 8815.365, w2 = 8629.297, dw = -0.11277, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 14, w1 = 8681.811, w2 = 8498.563, dw = -0.11106, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 15, w1 = 8552.243, w2 = 8371.732, dw = -0.1094, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 16, w1 = 8426.486, w2 = 8248.631, dw = -0.10779, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 17, w1 = 8304.374, w2 = 8129.098, dw = -0.10623, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 18, w1 = 8185.751, w2 = 8012.981, dw = -0.10471, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 19, w1 = 8070.47, w2 = 7900.134, dw = -0.10323, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 20, w1 = 7958.391, w2 = 7790.422, dw = -0.1018, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 21, w1 = 7849.382, w2 = 7683.716, dw = -0.1004, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 22, w1 = 7743.319, w2 = 7579.894, dw = -0.09905, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 23, w1 = 7640.085, w2 = 7478.84, dw = -0.09772, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 24, w1 = 7539.568, w2 = 7380.446, dw = -0.09644, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 25, w1 = 7441.661, w2 = 7284.607, dw = -0.09518, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 26, w1 = 7346.265, w2 = 7191.226, dw = -0.09396, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 27, w1 = 7253.283, w2 = 7100.209, dw = -0.09277, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 28, w1 = 7162.627, w2 = 7011.468, dw = -0.09161, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 29, w1 = 7074.209, w2 = 6924.917, dw = -0.09048, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 30, w1 = 6987.947, w2 = 6840.478, dw = -0.08937, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 31, w1 = 6903.764, w2 = 6758.074, dw = -0.0883, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 32, w1 = 6821.585, w2 = 6677.631, dw = -0.08724, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 33, w1 = 6741.34, w2 = 6599.082, dw = -0.08622, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 34, w1 = 6662.961, w2 = 6522.359, dw = -0.08521, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 35, w1 = 6586.384, w2 = 6447.4, dw = -0.08423, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 36, w1 = 6511.547, w2 = 6374.144, dw = -0.08327, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 37, w1 = 6438.392, w2 = 6302.535, dw = -0.08234, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 38, w1 = 6366.863, w2 = 6232.518, dw = -0.08142, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 39, w1 = 6296.906, w2 = 6164.039, dw = -0.08053, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 40, w1 = 6228.47, w2 = 6097.049, dw = -0.07965, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 41, w1 = 6161.505, w2 = 6031.499, dw = -0.07879, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 42, w1 = 6095.966, w2 = 5967.345, dw = -0.07795, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 43, w1 = 6031.806, w2 = 5904.541, dw = -0.07713, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 44, w1 = 5968.983, w2 = 5843.046, dw = -0.07633, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 45, w1 = 5907.455, w2 = 5782.818, dw = -0.07554, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 46, w1 = 5847.183, w2 = 5723.82, dw = -0.07477, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 47, w1 = 5788.128, w2 = 5666.014, dw = -0.07401, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 48, w1 = 5730.255, w2 = 5609.364, dw = -0.07327, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 49, w1 = 5673.528, w2 = 5553.836, dw = -0.07254, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 50, w1 = 5617.913, w2 = 5499.396, dw = -0.07183, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 51, w1 = 5563.378, w2 = 5446.014, dw = -0.07113, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 52, w1 = 5509.892, w2 = 5393.659, dw = -0.07044, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 53, w1 = 5457.424, w2 = 5342.3, dw = -0.06977, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 54, w1 = 5405.947, w2 = 5291.911, dw = -0.06911, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 55, w1 = 5355.432, w2 = 5242.464, dw = -0.06847, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 56, w1 = 5305.852, w2 = 5193.933, dw = -0.06783, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 57, w1 = 5257.182, w2 = 5146.292, dw = -0.06721, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 58, w1 = 5209.398, w2 = 5099.517, dw = -0.06659, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 59, w1 = 5162.474, w2 = 5053.585, dw = -0.06599, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 60, w1 = 5116.388, w2 = 5008.474, dw = -0.0654, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 61, w1 = 5071.118, w2 = 4964.161, dw = -0.06482, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 62, w1 = 5026.642, w2 = 4920.625, dw = -0.06425, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 63, w1 = 4982.94, w2 = 4877.847, dw = -0.06369, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 64, w1 = 4939.991, w2 = 4835.806, dw = -0.06314, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 65, w1 = 4897.776, w2 = 4794.484, dw = -0.0626, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 66, w1 = 4856.277, w2 = 4753.862, dw = -0.06207, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 67, w1 = 4815.476, w2 = 4713.923, dw = -0.06155, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 68, w1 = 4775.354, w2 = 4674.65, dw = -0.06103, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 69, w1 = 4735.896, w2 = 4636.026, dw = -0.06053, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 70, w1 = 4697.084, w2 = 4598.035, dw = -0.06003, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 71, w1 = 4658.904, w2 = 4560.662, dw = -0.05954, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 72, w1 = 4621.34, w2 = 4523.892, dw = -0.05906, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 73, w1 = 4584.376, w2 = 4487.71, dw = -0.05859, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 74, w1 = 4548., w2 = 4452.103, dw = -0.05812, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 75, w1 = 4512.196, w2 = 4417.056, dw = -0.05766, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 76, w1 = 4476.952, w2 = 4382.557, dw = -0.05721, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 77, w1 = 4442.254, w2 = 4348.592, dw = -0.05676, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 78, w1 = 4408.09, w2 = 4315.151, dw = -0.05633, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 79, w1 = 4374.448, w2 = 4282.219, dw = -0.0559, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 80, w1 = 4341.315, w2 = 4249.787, dw = -0.05547, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 81, w1 = 4308.681, w2 = 4217.843, dw = -0.05505, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 82, w1 = 4276.534, w2 = 4186.375, dw = -0.05464, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 83, w1 = 4244.863, w2 = 4155.373, dw = -0.05424, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 84, w1 = 4213.658, w2 = 4124.828, dw = -0.05384, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 85, w1 = 4182.908, w2 = 4094.728, dw = -0.05344, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 86, w1 = 4152.604, w2 = 4065.064, dw = -0.05305, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 87, w1 = 4122.736, w2 = 4035.827, dw = -0.05267, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 88, w1 = 4093.295, w2 = 4007.008, dw = -0.0523, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 89, w1 = 4064.272, w2 = 3978.598, dw = -0.05192, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 90, w1 = 4035.657, w2 = 3950.588, dw = -0.05156, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 91, w1 = 4007.442, w2 = 3922.969, dw = -0.0512, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 92, w1 = 3979.62, w2 = 3895.734, dw = -0.05084, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 93, w1 = 3952.181, w2 = 3868.875, dw = -0.05049, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 94, w1 = 3925.118, w2 = 3842.383, dw = -0.05014, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 95, w1 = 3898.423, w2 = 3816.252, dw = -0.0498, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 96, w1 = 3872.089, w2 = 3790.474, dw = -0.04946, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 97, w1 = 3846.108, w2 = 3765.041, dw = -0.04913, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 98, w1 = 3820.474, w2 = 3739.948, dw = -0.0488, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 99, w1 = 3795.179, w2 = 3715.187, dw = -0.04848, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 100, w1 = 3770.217, w2 = 3690.752, dw = -0.04816, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 101, w1 = 3745.582, w2 = 3666.637, dw = -0.04785, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 102, w1 = 3721.266, w2 = 3642.834, dw = -0.04753, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 103, w1 = 3697.264, w2 = 3619.338, dw = -0.04723, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 104, w1 = 3673.57, w2 = 3596.144, dw = -0.04693, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 105, w1 = 3650.177, w2 = 3573.244, dw = -0.04663, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 106, w1 = 3627.081, w2 = 3550.635, dw = -0.04633, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 107, w1 = 3604.275, w2 = 3528.31, dw = -0.04604, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 108, w1 = 3581.754, w2 = 3506.264, dw = -0.04575, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 109, w1 = 3559.513, w2 = 3484.491, dw = -0.04547, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 110, w1 = 3537.547, w2 = 3462.987, dw = -0.04519, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 111, w1 = 3515.85, w2 = 3441.747, dw = -0.04491, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 112, w1 = 3494.417, w2 = 3420.766, dw = -0.04464, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 113, w1 = 3473.244, w2 = 3400.039, dw = -0.04437, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 114, w1 = 3452.327, w2 = 3379.562, dw = -0.0441, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 115, w1 = 3431.659, w2 = 3359.329, dw = -0.04384, nw = 1651 EchelleThAr.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 1.' zEchelleThAr.0032.ec.fits: ap = 1, w1 = 10811.1, w2 = 10582.9, dw = -0.1383, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 2, w1 = 10610.91, w2 = 10386.94, dw = -0.13574, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 3, w1 = 10418., w2 = 10198.1, dw = -0.13327, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 4, w1 = 10231.98, w2 = 10016.01, dw = -0.13089, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 5, w1 = 10052.49, w2 = 9840.304, dw = -0.1286, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 6, w1 = 9879.185, w2 = 9670.658, dw = -0.12638, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 7, w1 = 9711.756, w2 = 9506.764, dw = -0.12424, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 8, w1 = 9549.907, w2 = 9348.332, dw = -0.12217, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 9, w1 = 9393.364, w2 = 9195.094, dw = -0.12016, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 10, w1 = 9241.871, w2 = 9046.8, dw = -0.11823, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 11, w1 = 9095.188, w2 = 8903.213, dw = -0.11635, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 12, w1 = 8953.087, w2 = 8764.113, dw = -0.11453, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 13, w1 = 8815.359, w2 = 8629.293, dw = -0.11277, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 14, w1 = 8681.804, w2 = 8498.559, dw = -0.11106, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 15, w1 = 8552.236, w2 = 8371.727, dw = -0.1094, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 16, w1 = 8426.479, w2 = 8248.625, dw = -0.10779, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 17, w1 = 8304.366, w2 = 8129.092, dw = -0.10623, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 18, w1 = 8185.742, w2 = 8012.973, dw = -0.10471, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 19, w1 = 8070.46, w2 = 7900.126, dw = -0.10323, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 20, w1 = 7958.38, w2 = 7790.413, dw = -0.1018, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 21, w1 = 7849.371, w2 = 7683.707, dw = -0.1004, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 22, w1 = 7743.308, w2 = 7579.884, dw = -0.09904, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 23, w1 = 7640.073, w2 = 7478.829, dw = -0.09772, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 24, w1 = 7539.555, w2 = 7380.435, dw = -0.09644, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 25, w1 = 7441.647, w2 = 7284.595, dw = -0.09518, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 26, w1 = 7346.25, w2 = 7191.214, dw = -0.09396, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 27, w1 = 7253.268, w2 = 7100.196, dw = -0.09277, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 28, w1 = 7162.611, w2 = 7011.454, dw = -0.09161, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 29, w1 = 7074.193, w2 = 6924.904, dw = -0.09048, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 30, w1 = 6987.93, w2 = 6840.464, dw = -0.08937, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 31, w1 = 6903.747, w2 = 6758.059, dw = -0.0883, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 32, w1 = 6821.568, w2 = 6677.616, dw = -0.08724, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 33, w1 = 6741.323, w2 = 6599.066, dw = -0.08622, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 34, w1 = 6662.944, w2 = 6522.343, dw = -0.08521, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 35, w1 = 6586.366, w2 = 6447.384, dw = -0.08423, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 36, w1 = 6511.53, w2 = 6374.128, dw = -0.08327, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 37, w1 = 6438.375, w2 = 6302.519, dw = -0.08234, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 38, w1 = 6366.845, w2 = 6232.501, dw = -0.08142, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 39, w1 = 6296.888, w2 = 6164.022, dw = -0.08052, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 40, w1 = 6228.452, w2 = 6097.032, dw = -0.07965, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 41, w1 = 6161.488, w2 = 6031.483, dw = -0.07879, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 42, w1 = 6095.949, w2 = 5967.328, dw = -0.07795, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 43, w1 = 6031.789, w2 = 5904.525, dw = -0.07713, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 44, w1 = 5968.966, w2 = 5843.029, dw = -0.07633, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 45, w1 = 5907.439, w2 = 5782.802, dw = -0.07554, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 46, w1 = 5847.167, w2 = 5723.804, dw = -0.07477, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 47, w1 = 5788.113, w2 = 5665.998, dw = -0.07401, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 48, w1 = 5730.24, w2 = 5609.348, dw = -0.07327, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 49, w1 = 5673.514, w2 = 5553.82, dw = -0.07254, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 50, w1 = 5617.899, w2 = 5499.381, dw = -0.07183, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 51, w1 = 5563.365, w2 = 5445.999, dw = -0.07113, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 52, w1 = 5509.879, w2 = 5393.644, dw = -0.07045, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 53, w1 = 5457.413, w2 = 5342.286, dw = -0.06977, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 54, w1 = 5405.936, w2 = 5291.897, dw = -0.06911, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 55, w1 = 5355.422, w2 = 5242.45, dw = -0.06847, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 56, w1 = 5305.843, w2 = 5193.919, dw = -0.06783, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 57, w1 = 5257.174, w2 = 5146.278, dw = -0.06721, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 58, w1 = 5209.39, w2 = 5099.504, dw = -0.0666, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 59, w1 = 5162.466, w2 = 5053.573, dw = -0.066, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 60, w1 = 5116.381, w2 = 5008.461, dw = -0.06541, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 61, w1 = 5071.112, w2 = 4964.149, dw = -0.06483, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 62, w1 = 5026.637, w2 = 4920.614, dw = -0.06426, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 63, w1 = 4982.935, w2 = 4877.836, dw = -0.0637, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 64, w1 = 4939.987, w2 = 4835.795, dw = -0.06315, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 65, w1 = 4897.773, w2 = 4794.474, dw = -0.06261, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 66, w1 = 4856.274, w2 = 4753.853, dw = -0.06207, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 67, w1 = 4815.473, w2 = 4713.914, dw = -0.06155, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 68, w1 = 4775.352, w2 = 4674.641, dw = -0.06104, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 69, w1 = 4735.895, w2 = 4636.018, dw = -0.06053, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 70, w1 = 4697.084, w2 = 4598.027, dw = -0.06003, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 71, w1 = 4658.904, w2 = 4560.655, dw = -0.05954, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 72, w1 = 4621.34, w2 = 4523.885, dw = -0.05906, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 73, w1 = 4584.376, w2 = 4487.703, dw = -0.05859, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 74, w1 = 4548., w2 = 4452.096, dw = -0.05812, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 75, w1 = 4512.196, w2 = 4417.05, dw = -0.05766, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 76, w1 = 4476.952, w2 = 4382.551, dw = -0.05721, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 77, w1 = 4442.254, w2 = 4348.587, dw = -0.05677, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 78, w1 = 4408.09, w2 = 4315.146, dw = -0.05633, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 79, w1 = 4374.447, w2 = 4282.215, dw = -0.0559, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 80, w1 = 4341.314, w2 = 4249.783, dw = -0.05547, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 81, w1 = 4308.68, w2 = 4217.839, dw = -0.05506, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 82, w1 = 4276.532, w2 = 4186.371, dw = -0.05464, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 83, w1 = 4244.86, w2 = 4155.37, dw = -0.05424, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 84, w1 = 4213.654, w2 = 4124.824, dw = -0.05384, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 85, w1 = 4182.903, w2 = 4094.725, dw = -0.05344, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 86, w1 = 4152.598, w2 = 4065.061, dw = -0.05305, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 87, w1 = 4122.729, w2 = 4035.825, dw = -0.05267, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 88, w1 = 4093.286, w2 = 4007.006, dw = -0.05229, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 89, w1 = 4064.261, w2 = 3978.595, dw = -0.05192, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 90, w1 = 4035.644, w2 = 3950.585, dw = -0.05155, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 91, w1 = 4007.428, w2 = 3922.966, dw = -0.05119, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 92, w1 = 3979.603, w2 = 3895.731, dw = -0.05083, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 93, w1 = 3952.162, w2 = 3868.872, dw = -0.05048, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 94, w1 = 3925.096, w2 = 3842.38, dw = -0.05013, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 95, w1 = 3898.399, w2 = 3816.249, dw = -0.04979, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 96, w1 = 3872.062, w2 = 3790.47, dw = -0.04945, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 97, w1 = 3846.078, w2 = 3765.038, dw = -0.04912, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 98, w1 = 3820.44, w2 = 3739.944, dw = -0.04879, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 99, w1 = 3795.142, w2 = 3715.183, dw = -0.04846, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 100, w1 = 3770.176, w2 = 3690.747, dw = -0.04814, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 101, w1 = 3745.536, w2 = 3666.631, dw = -0.04782, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 102, w1 = 3721.216, w2 = 3642.828, dw = -0.04751, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 103, w1 = 3697.21, w2 = 3619.331, dw = -0.0472, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 104, w1 = 3673.511, w2 = 3596.136, dw = -0.04689, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 105, w1 = 3650.113, w2 = 3573.236, dw = -0.04659, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 106, w1 = 3627.011, w2 = 3550.626, dw = -0.04629, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 107, w1 = 3604.2, w2 = 3528.3, dw = -0.046, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 108, w1 = 3581.673, w2 = 3506.253, dw = -0.04571, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 109, w1 = 3559.426, w2 = 3484.479, dw = -0.04542, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 110, w1 = 3537.453, w2 = 3462.974, dw = -0.04514, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 111, w1 = 3515.749, w2 = 3441.733, dw = -0.04486, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 112, w1 = 3494.309, w2 = 3420.75, dw = -0.04458, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 113, w1 = 3473.129, w2 = 3400.022, dw = -0.04431, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 114, w1 = 3452.204, w2 = 3379.543, dw = -0.04404, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 115, w1 = 3431.528, w2 = 3359.309, dw = -0.04377, nw = 1651 EchelleThAr.0037.ec.fits: REFSPEC1 = 'EchelleThAr.0037.ec 1.' zEchelleThAr.0037.ec.fits: ap = 1, w1 = 10811.1, w2 = 10582.87, dw = -0.13832, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 2, w1 = 10610.9, w2 = 10386.91, dw = -0.13576, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 3, w1 = 10417.99, w2 = 10198.07, dw = -0.13329, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 4, w1 = 10231.97, w2 = 10015.98, dw = -0.1309, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 5, w1 = 10052.47, w2 = 9840.271, dw = -0.12861, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 6, w1 = 9879.167, w2 = 9670.626, dw = -0.12639, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 7, w1 = 9711.735, w2 = 9506.731, dw = -0.12425, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 8, w1 = 9549.885, w2 = 9348.299, dw = -0.12217, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 9, w1 = 9393.341, w2 = 9195.062, dw = -0.12017, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 10, w1 = 9241.847, w2 = 9046.768, dw = -0.11823, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 11, w1 = 9095.162, w2 = 8903.181, dw = -0.11635, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 12, w1 = 8953.061, w2 = 8764.082, dw = -0.11453, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 13, w1 = 8815.333, w2 = 8629.263, dw = -0.11277, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 14, w1 = 8681.778, w2 = 8498.529, dw = -0.11106, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 15, w1 = 8552.209, w2 = 8371.698, dw = -0.1094, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 16, w1 = 8426.452, w2 = 8248.597, dw = -0.10779, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 17, w1 = 8304.339, w2 = 8129.064, dw = -0.10623, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 18, w1 = 8185.716, w2 = 8012.946, dw = -0.10471, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 19, w1 = 8070.434, w2 = 7900.1, dw = -0.10323, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 20, w1 = 7958.355, w2 = 7790.388, dw = -0.1018, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 21, w1 = 7849.346, w2 = 7683.682, dw = -0.1004, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 22, w1 = 7743.283, w2 = 7579.86, dw = -0.09904, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 23, w1 = 7640.049, w2 = 7478.806, dw = -0.09772, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 24, w1 = 7539.531, w2 = 7380.412, dw = -0.09644, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 25, w1 = 7441.624, w2 = 7284.573, dw = -0.09518, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 26, w1 = 7346.228, w2 = 7191.193, dw = -0.09396, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 27, w1 = 7253.247, w2 = 7100.176, dw = -0.09277, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 28, w1 = 7162.59, w2 = 7011.434, dw = -0.09161, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 29, w1 = 7074.172, w2 = 6924.884, dw = -0.09048, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 30, w1 = 6987.91, w2 = 6840.445, dw = -0.08937, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 31, w1 = 6903.727, w2 = 6758.041, dw = -0.0883, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 32, w1 = 6821.549, w2 = 6677.598, dw = -0.08724, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 33, w1 = 6741.304, w2 = 6599.049, dw = -0.08622, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 34, w1 = 6662.925, w2 = 6522.326, dw = -0.08521, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 35, w1 = 6586.348, w2 = 6447.367, dw = -0.08423, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 36, w1 = 6511.512, w2 = 6374.112, dw = -0.08327, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 37, w1 = 6438.357, w2 = 6302.503, dw = -0.08234, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 38, w1 = 6366.828, w2 = 6232.485, dw = -0.08142, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 39, w1 = 6296.871, w2 = 6164.006, dw = -0.08052, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 40, w1 = 6228.435, w2 = 6097.016, dw = -0.07965, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 41, w1 = 6161.471, w2 = 6031.467, dw = -0.07879, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 42, w1 = 6095.932, w2 = 5967.312, dw = -0.07795, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 43, w1 = 6031.772, w2 = 5904.508, dw = -0.07713, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 44, w1 = 5968.95, w2 = 5843.013, dw = -0.07633, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 45, w1 = 5907.422, w2 = 5782.785, dw = -0.07554, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 46, w1 = 5847.15, w2 = 5723.787, dw = -0.07477, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 47, w1 = 5788.096, w2 = 5665.981, dw = -0.07401, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 48, w1 = 5730.223, w2 = 5609.331, dw = -0.07327, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 49, w1 = 5673.496, w2 = 5553.803, dw = -0.07254, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 50, w1 = 5617.882, w2 = 5499.363, dw = -0.07183, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 51, w1 = 5563.347, w2 = 5445.981, dw = -0.07113, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 52, w1 = 5509.861, w2 = 5393.625, dw = -0.07045, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 53, w1 = 5457.394, w2 = 5342.267, dw = -0.06977, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 54, w1 = 5405.917, w2 = 5291.878, dw = -0.06911, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 55, w1 = 5355.402, w2 = 5242.431, dw = -0.06847, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 56, w1 = 5305.823, w2 = 5193.899, dw = -0.06783, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 57, w1 = 5257.153, w2 = 5146.258, dw = -0.06721, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 58, w1 = 5209.369, w2 = 5099.484, dw = -0.0666, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 59, w1 = 5162.445, w2 = 5053.552, dw = -0.066, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 60, w1 = 5116.36, w2 = 5008.44, dw = -0.06541, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 61, w1 = 5071.09, w2 = 4964.127, dw = -0.06483, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 62, w1 = 5026.614, w2 = 4920.592, dw = -0.06426, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 63, w1 = 4982.912, w2 = 4877.813, dw = -0.0637, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 64, w1 = 4939.963, w2 = 4835.773, dw = -0.06315, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 65, w1 = 4897.749, w2 = 4794.451, dw = -0.06261, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 66, w1 = 4856.25, w2 = 4753.829, dw = -0.06207, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 67, w1 = 4815.449, w2 = 4713.89, dw = -0.06155, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 68, w1 = 4775.328, w2 = 4674.617, dw = -0.06104, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 69, w1 = 4735.869, w2 = 4635.993, dw = -0.06053, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 70, w1 = 4697.058, w2 = 4598.002, dw = -0.06003, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 71, w1 = 4658.878, w2 = 4560.63, dw = -0.05954, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 72, w1 = 4621.314, w2 = 4523.86, dw = -0.05906, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 73, w1 = 4584.351, w2 = 4487.678, dw = -0.05859, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 74, w1 = 4547.974, w2 = 4452.071, dw = -0.05812, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 75, w1 = 4512.171, w2 = 4417.024, dw = -0.05766, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 76, w1 = 4476.926, w2 = 4382.525, dw = -0.05721, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 77, w1 = 4442.229, w2 = 4348.561, dw = -0.05677, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 78, w1 = 4408.065, w2 = 4315.12, dw = -0.05633, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 79, w1 = 4374.423, w2 = 4282.189, dw = -0.0559, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 80, w1 = 4341.29, w2 = 4249.758, dw = -0.05547, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 81, w1 = 4308.656, w2 = 4217.814, dw = -0.05506, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 82, w1 = 4276.509, w2 = 4186.347, dw = -0.05464, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 83, w1 = 4244.838, w2 = 4155.346, dw = -0.05424, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 84, w1 = 4213.633, w2 = 4124.801, dw = -0.05384, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 85, w1 = 4182.883, w2 = 4094.702, dw = -0.05344, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 86, w1 = 4152.579, w2 = 4065.039, dw = -0.05305, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 87, w1 = 4122.711, w2 = 4035.803, dw = -0.05267, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 88, w1 = 4093.27, w2 = 4006.985, dw = -0.05229, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 89, w1 = 4064.246, w2 = 3978.576, dw = -0.05192, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 90, w1 = 4035.631, w2 = 3950.567, dw = -0.05155, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 91, w1 = 4007.417, w2 = 3922.949, dw = -0.05119, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 92, w1 = 3979.594, w2 = 3895.716, dw = -0.05084, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 93, w1 = 3952.155, w2 = 3868.857, dw = -0.05048, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 94, w1 = 3925.092, w2 = 3842.367, dw = -0.05014, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 95, w1 = 3898.397, w2 = 3816.238, dw = -0.04979, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 96, w1 = 3872.063, w2 = 3790.461, dw = -0.04946, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 97, w1 = 3846.082, w2 = 3765.031, dw = -0.04912, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 98, w1 = 3820.448, w2 = 3739.939, dw = -0.04879, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 99, w1 = 3795.153, w2 = 3715.18, dw = -0.04847, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 100, w1 = 3770.191, w2 = 3690.747, dw = -0.04815, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 101, w1 = 3745.555, w2 = 3666.633, dw = -0.04783, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 102, w1 = 3721.239, w2 = 3642.833, dw = -0.04752, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 103, w1 = 3697.237, w2 = 3619.339, dw = -0.04721, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 104, w1 = 3673.542, w2 = 3596.147, dw = -0.04691, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 105, w1 = 3650.15, w2 = 3573.25, dw = -0.04661, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 106, w1 = 3627.053, w2 = 3550.643, dw = -0.04631, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 107, w1 = 3604.247, w2 = 3528.321, dw = -0.04602, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 108, w1 = 3581.726, w2 = 3506.277, dw = -0.04573, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 109, w1 = 3559.485, w2 = 3484.508, dw = -0.04544, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 110, w1 = 3537.518, w2 = 3463.007, dw = -0.04516, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 111, w1 = 3515.82, w2 = 3441.77, dw = -0.04488, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 112, w1 = 3494.388, w2 = 3420.792, dw = -0.0446, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 113, w1 = 3473.215, w2 = 3400.068, dw = -0.04433, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 114, w1 = 3452.297, w2 = 3379.594, dw = -0.04406, nw = 1651 zEchelleThAr.0037.ec.fits: ap = 115, w1 = 3431.629, w2 = 3359.366, dw = -0.0438, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... May 15 15:04: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 140514.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 140514.0021.ec.fits[100] 900.0 1.000 0. 0.009 140514.0021.ec.fits[101] 900.0 1.000 0. 0.009 140514.0021.ec.fits[102] 900.0 1.000 0. 0.009 140514.0021.ec.fits[103] 900.0 1.000 0. 0.009 140514.0021.ec.fits[104] 900.0 1.000 0. 0.009 140514.0021.ec.fits[105] 900.0 1.000 0. 0.009 140514.0021.ec.fits[106] 900.0 1.000 0. 0.009 140514.0021.ec.fits[107] 900.0 1.000 0. 0.009 140514.0021.ec.fits[108] 900.0 1.000 0. 0.009 140514.0021.ec.fits[109] 900.0 1.000 0. 0.009 140514.0021.ec.fits[110] 900.0 1.000 0. 0.009 140514.0021.ec.fits[111] 900.0 1.000 0. 0.009 140514.0021.ec.fits[112] 900.0 1.000 0. 0.009 140514.0021.ec.fits[113] 900.0 1.000 0. 0.009 140514.0021.ec.fits[114] 900.0 1.000 0. 0.009 140514.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140514.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.456, w2 = 10811.2, dw = 0.04382449, nw = 170037., dtype = 0 May 15 15:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[100] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[101] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[102] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[103] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[104] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[105] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[106] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[107] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[108] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[109] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[110] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[111] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[112] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[113] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[114] 1200.0 1.000 0. 0.009 140514.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140514.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.439, w2 = 10811.19, dw = 0.04382996, nw = 170016., dtype = 0 May 15 15:05: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[100] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[101] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[102] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[103] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[104] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[105] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[106] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[107] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[108] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[109] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[110] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[111] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[112] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[113] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[114] 1200.0 1.000 0. 0.009 140514.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140514.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.423, w2 = 10811.18, dw = 0.04383544, nw = 169995., dtype = 0 May 15 15:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0025.ec.fits[ 1] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 2] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 3] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 4] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 5] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 6] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 7] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 8] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 9] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 10] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 11] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 12] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 13] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 14] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 15] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 16] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 17] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 18] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 19] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 20] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 21] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 22] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 23] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 24] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 25] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 26] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 27] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 28] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 29] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 30] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 31] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 32] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 33] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 34] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 35] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 36] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 37] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 38] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 39] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 40] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 41] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 42] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 43] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 44] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 45] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 46] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 47] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 48] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 49] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 50] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 51] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 52] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 53] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 54] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 55] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 56] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 57] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 58] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 59] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 60] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 61] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 62] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 63] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 64] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 65] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 66] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 67] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 68] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 69] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 70] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 71] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 72] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 73] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 74] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 75] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 76] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 77] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 78] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 79] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 80] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 81] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 82] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 83] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 84] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 85] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 86] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 87] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 88] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 89] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 90] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 91] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 92] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 93] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 94] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 95] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 96] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 97] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 98] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[ 99] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[100] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[101] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[102] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[103] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[104] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[105] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[106] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[107] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[108] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[109] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[110] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[111] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[112] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[113] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[114] 1200.0 1.000 0. 0.009 140514.0025.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140514.0025.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.397, w2 = 10811.17, dw = 0.04383807, nw = 169985., dtype = 0 May 15 15:06: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[100] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[101] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[102] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[103] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[104] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[105] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[106] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[107] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[108] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[109] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[110] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[111] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[112] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[113] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[114] 1200.0 1.000 0. 0.009 140514.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140514.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.371, w2 = 10811.14, dw = 0.04383731, nw = 169988., dtype = 0 May 15 15:07: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0027.ec.fits[ 1] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 2] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 3] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 4] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 5] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 6] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 7] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 8] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 9] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 10] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 11] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 12] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 13] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 14] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 15] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 16] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 17] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 18] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 19] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 20] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 21] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 22] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 23] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 24] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 25] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 26] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 27] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 28] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 29] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 30] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 31] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 32] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 33] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 34] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 35] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 36] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 37] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 38] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 39] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 40] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 41] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 42] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 43] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 44] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 45] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 46] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 47] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 48] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 49] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 50] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 51] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 52] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 53] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 54] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 55] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 56] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 57] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 58] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 59] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 60] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 61] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 62] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 63] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 64] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 65] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 66] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 67] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 68] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 69] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 70] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 71] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 72] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 73] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 74] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 75] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 76] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 77] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 78] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 79] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 80] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 81] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 82] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 83] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 84] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 85] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 86] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 87] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 88] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 89] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 90] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 91] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 92] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 93] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 94] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 95] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 96] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 97] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 98] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[ 99] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[100] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[101] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[102] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[103] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[104] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[105] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[106] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[107] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[108] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[109] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[110] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[111] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[112] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[113] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[114] 1200.0 1.000 0. 0.009 140514.0027.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140514.0027.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.344, w2 = 10811.12, dw = 0.04383681, nw = 169990., dtype = 0 May 15 15:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 19] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 20] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 21] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 22] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 23] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 24] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 25] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 26] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 27] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 28] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 29] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 30] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 31] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 32] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 33] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 34] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 35] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 36] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 37] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 38] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 39] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 40] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 41] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 42] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 43] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 44] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 45] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 46] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 47] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 48] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 49] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 50] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 51] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 52] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 53] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 54] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 55] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 56] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 57] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 58] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 59] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 60] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 61] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 62] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 63] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 64] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 65] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 66] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 67] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 68] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 69] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 70] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 71] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 72] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 73] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 74] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 75] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 76] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 77] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 78] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 79] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 80] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 81] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 82] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 83] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 84] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 85] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 86] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 87] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 88] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 89] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 90] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 91] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 92] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 93] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 94] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 95] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 96] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 97] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 98] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[ 99] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[100] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[101] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[102] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[103] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[104] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[105] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[106] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[107] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[108] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[109] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[110] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[111] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[112] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[113] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[114] 1500.0 1.000 0. 0.009 140514.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140514.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.325, w2 = 10811.11, dw = 0.04382343, nw = 170042., dtype = 0 May 15 15:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[100] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[101] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[102] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[103] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[104] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[105] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[106] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[107] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[108] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[109] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[110] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[111] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[112] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[113] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[114] 1500.0 1.000 0. 0.009 140514.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140514.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.319, w2 = 10811.1, dw = 0.04380232, nw = 170124., dtype = 0 May 15 15:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 19] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 20] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 21] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 22] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 23] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 24] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 25] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 26] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 27] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 28] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 29] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 30] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 31] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 32] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 33] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 34] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 35] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 36] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 37] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 38] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 39] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 40] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 41] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 42] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 43] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 44] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 45] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 46] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 47] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 48] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 49] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 50] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 51] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 52] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 53] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 54] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 55] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[100] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[101] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[102] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[103] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[104] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[105] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[106] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[107] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[108] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[109] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[110] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[111] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[112] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[113] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[114] 1500.0 1.000 0. 0.009 140514.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140514.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.312, w2 = 10811.1, dw = 0.04378098, nw = 170207., dtype = 0 May 15 15:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0033.ec.fits[ 1] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 2] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 3] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 4] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 5] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 6] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 7] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 8] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 9] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 10] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 11] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 12] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 13] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 14] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 15] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 16] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 17] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 18] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 19] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 20] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 21] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 22] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 23] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 24] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 25] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 26] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 27] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 28] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 29] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 30] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 31] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 32] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 33] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 34] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 35] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 36] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 37] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 38] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 39] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 40] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 41] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 42] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 43] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 44] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 45] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 46] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 47] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 48] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 49] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 50] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 51] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 52] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 53] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 54] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 55] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 56] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 57] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 58] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 59] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 60] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 61] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 62] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 63] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 64] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 65] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 66] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 67] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 68] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 69] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 70] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 71] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 72] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 73] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 74] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 75] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 76] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 77] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 78] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 79] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 80] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 81] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 82] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 83] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 84] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 85] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 86] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 87] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 88] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 89] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 90] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 91] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 92] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 93] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 94] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 95] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 96] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 97] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 98] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[ 99] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[100] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[101] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[102] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[103] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[104] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[105] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[106] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[107] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[108] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[109] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[110] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[111] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[112] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[113] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[114] 1500.0 1.000 0. 0.009 140514.0033.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140514.0033.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.319, w2 = 10811.1, dw = 0.04377399, nw = 170234., dtype = 0 May 15 15:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0034.ec.fits[ 1] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 2] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 3] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 4] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 5] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 6] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 7] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 8] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 9] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 10] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 11] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 12] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 13] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 14] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 15] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 16] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 17] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 18] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 19] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 20] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 21] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 22] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 23] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 24] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 25] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 26] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 27] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 28] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 29] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 30] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 31] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 32] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 33] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 34] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 35] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 36] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 37] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 38] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 39] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 40] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 41] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 42] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 43] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 44] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 45] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 46] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 47] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 48] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 49] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 50] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 51] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 52] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 53] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 54] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 55] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 56] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 57] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 58] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 59] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 60] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 61] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 62] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 63] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 64] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 65] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 66] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 67] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 68] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 69] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 70] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 71] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 72] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 73] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 74] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 75] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 76] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 77] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 78] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 79] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 80] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 81] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 82] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 83] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 84] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 85] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 86] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 87] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 88] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 89] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 90] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 91] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 92] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 93] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 94] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 95] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 96] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 97] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 98] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[ 99] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[100] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[101] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[102] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[103] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[104] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[105] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[106] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[107] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[108] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[109] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[110] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[111] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[112] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[113] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[114] 1500.0 1.000 0. 0.009 140514.0034.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140514.0034.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.335, w2 = 10811.1, dw = 0.0437816, nw = 170204., dtype = 0 May 15 15:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0035.ec.fits[ 1] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 2] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 3] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 4] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 5] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 6] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 7] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 8] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 9] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 10] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 11] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 12] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 13] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 14] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 15] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 16] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 17] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 18] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 19] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 20] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 21] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 22] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 23] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 24] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 25] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 26] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 27] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 28] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 29] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 30] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 31] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 32] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 33] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 34] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 35] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 36] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 37] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 38] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 39] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 40] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 41] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 42] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 43] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 44] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 45] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 46] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 47] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 48] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 49] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 50] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 51] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 52] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 53] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 54] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 55] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 56] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 57] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 58] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 59] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 60] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 61] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 62] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 63] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 64] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 65] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 66] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 67] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 68] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 69] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 70] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 71] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 72] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 73] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 74] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 75] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 76] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 77] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 78] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 79] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 80] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 81] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 82] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 83] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 84] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 85] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 86] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 87] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 88] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 89] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 90] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 91] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 92] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 93] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 94] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 95] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 96] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 97] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 98] 900.0 1.000 0. 0.009 140514.0035.ec.fits[ 99] 900.0 1.000 0. 0.009 140514.0035.ec.fits[100] 900.0 1.000 0. 0.009 140514.0035.ec.fits[101] 900.0 1.000 0. 0.009 140514.0035.ec.fits[102] 900.0 1.000 0. 0.009 140514.0035.ec.fits[103] 900.0 1.000 0. 0.009 140514.0035.ec.fits[104] 900.0 1.000 0. 0.009 140514.0035.ec.fits[105] 900.0 1.000 0. 0.009 140514.0035.ec.fits[106] 900.0 1.000 0. 0.009 140514.0035.ec.fits[107] 900.0 1.000 0. 0.009 140514.0035.ec.fits[108] 900.0 1.000 0. 0.009 140514.0035.ec.fits[109] 900.0 1.000 0. 0.009 140514.0035.ec.fits[110] 900.0 1.000 0. 0.009 140514.0035.ec.fits[111] 900.0 1.000 0. 0.009 140514.0035.ec.fits[112] 900.0 1.000 0. 0.009 140514.0035.ec.fits[113] 900.0 1.000 0. 0.009 140514.0035.ec.fits[114] 900.0 1.000 0. 0.009 140514.0035.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140514.0035.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.348, w2 = 10811.1, dw = 0.04378771, nw = 170180., dtype = 0 May 15 15:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140514.0036.ec.fits[ 1] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 2] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 3] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 4] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 5] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 6] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 7] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 8] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 9] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 10] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 11] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 12] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 13] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 14] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 15] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 16] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 17] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 18] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 19] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 20] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 21] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 22] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 23] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 24] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 25] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 26] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 27] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 28] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 29] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 30] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 31] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 32] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 33] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 34] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 35] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 36] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 37] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 38] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 39] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 40] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 41] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 42] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 43] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 44] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 45] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 46] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 47] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 48] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 49] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 50] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 51] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 52] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 53] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 54] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 55] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 56] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 57] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 58] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 59] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 60] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 61] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 62] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 63] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 64] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 65] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 66] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 67] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 68] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 69] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 70] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 71] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 72] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 73] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 74] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 75] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 76] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 77] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 78] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 79] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 80] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 81] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 82] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 83] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 84] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 85] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 86] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 87] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 88] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 89] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 90] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 91] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 92] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 93] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 94] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 95] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 96] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 97] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 98] 900.0 1.000 0. 0.009 140514.0036.ec.fits[ 99] 900.0 1.000 0. 0.009 140514.0036.ec.fits[100] 900.0 1.000 0. 0.009 140514.0036.ec.fits[101] 900.0 1.000 0. 0.009 140514.0036.ec.fits[102] 900.0 1.000 0. 0.009 140514.0036.ec.fits[103] 900.0 1.000 0. 0.009 140514.0036.ec.fits[104] 900.0 1.000 0. 0.009 140514.0036.ec.fits[105] 900.0 1.000 0. 0.009 140514.0036.ec.fits[106] 900.0 1.000 0. 0.009 140514.0036.ec.fits[107] 900.0 1.000 0. 0.009 140514.0036.ec.fits[108] 900.0 1.000 0. 0.009 140514.0036.ec.fits[109] 900.0 1.000 0. 0.009 140514.0036.ec.fits[110] 900.0 1.000 0. 0.009 140514.0036.ec.fits[111] 900.0 1.000 0. 0.009 140514.0036.ec.fits[112] 900.0 1.000 0. 0.009 140514.0036.ec.fits[113] 900.0 1.000 0. 0.009 140514.0036.ec.fits[114] 900.0 1.000 0. 0.009 140514.0036.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140514.0036.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.358, w2 = 10811.1, dw = 0.04379253, nw = 170161., dtype = 0 May 15 15:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0021.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140514.0021.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140514.0021.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.456, w2 = 10811.2, dw = 0.04382449, nw = 170037., dtype = 0 May 15 15:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0022.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140514.0022.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140514.0022.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.439, w2 = 10811.19, dw = 0.04382996, nw = 170016., dtype = 0 May 15 15:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0023.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140514.0023.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140514.0023.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.423, w2 = 10811.18, dw = 0.04383544, nw = 169995., dtype = 0 May 15 15:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0025.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140514.0025.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140514.0025.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.397, w2 = 10811.17, dw = 0.04383807, nw = 169985., dtype = 0 May 15 15:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140514.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140514.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.371, w2 = 10811.14, dw = 0.04383731, nw = 169988., dtype = 0 May 15 15:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0027.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140514.0027.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140514.0027.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.344, w2 = 10811.12, dw = 0.04383681, nw = 169990., dtype = 0 May 15 15:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0029.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140514.0029.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140514.0029.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.325, w2 = 10811.11, dw = 0.04382343, nw = 170042., dtype = 0 May 15 15:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0030.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140514.0030.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140514.0030.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.319, w2 = 10811.1, dw = 0.04380232, nw = 170124., dtype = 0 May 15 15:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140514.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140514.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.312, w2 = 10811.1, dw = 0.04378098, nw = 170207., dtype = 0 May 15 15:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0033.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140514.0033.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140514.0033.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.319, w2 = 10811.1, dw = 0.04377399, nw = 170234., dtype = 0 May 15 15:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0034.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140514.0034.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140514.0034.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.335, w2 = 10811.1, dw = 0.0437816, nw = 170204., dtype = 0 May 15 15:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0035.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140514.0035.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140514.0035.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.348, w2 = 10811.1, dw = 0.04378771, nw = 170180., dtype = 0 May 15 15:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140514.0036.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140514.0036.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140514.0036.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.358, w2 = 10811.1, dw = 0.04379253, nw = 170161., dtype = 0 103500. fullspec140514.0021.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140514.0021.ec.fits updated 138000. fullspec140514.0022.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140514.0022.ec.fits updated 138000. fullspec140514.0023.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140514.0023.ec.fits updated 138000. fullspec140514.0025.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140514.0025.ec.fits updated 138000. fullspec140514.0026.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140514.0026.ec.fits updated 138000. fullspec140514.0027.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140514.0027.ec.fits updated 172500. fullspec140514.0029.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140514.0029.ec.fits updated 172500. fullspec140514.0030.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140514.0030.ec.fits updated 172500. fullspec140514.0031.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140514.0031.ec.fits updated 172500. fullspec140514.0033.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140514.0033.ec.fits updated 172500. fullspec140514.0034.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140514.0034.ec.fits updated 103500. fullspec140514.0035.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140514.0035.ec.fits updated 103500. fullspec140514.0036.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140514.0036.ec.fits updated ALL DONE! Yay! (=^.^=)