Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 140727.0025.fits,dispaxis = 1 140727.0025.fits updated add 140727.0027.fits,dispaxis = 1 140727.0027.fits updated add 140727.0028.fits,dispaxis = 1 140727.0028.fits updated add 140727.0030.fits,dispaxis = 1 140727.0030.fits updated add 140727.0031.fits,dispaxis = 1 140727.0031.fits updated add 140727.0032.fits,dispaxis = 1 140727.0032.fits updated add 140727.0034.fits,dispaxis = 1 140727.0034.fits updated add 140727.0035.fits,dispaxis = 1 140727.0035.fits updated add 140727.0036.fits,dispaxis = 1 140727.0036.fits updated add 140727.0037.fits,dispaxis = 1 140727.0037.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.0021.fits,dispaxis = 1 EchelleFlatBlue.0021.fits updated add EchelleFlatBlue.0022.fits,dispaxis = 1 EchelleFlatBlue.0022.fits updated add EchelleFlatBlue.0023.fits,dispaxis = 1 EchelleFlatBlue.0023.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.0026.fits,dispaxis = 1 EchelleThAr.0026.fits updated add EchelleThAr.0029.fits,dispaxis = 1 EchelleThAr.0029.fits updated add EchelleThAr.0033.fits,dispaxis = 1 EchelleThAr.0033.fits updated add EchelleThAr.0038.fits,dispaxis = 1 EchelleThAr.0038.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.0021.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0022.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0023.fits with mask echmask.pl FIXPIX: image 140727.0025.fits with mask echmask.pl FIXPIX: image 140727.0027.fits with mask echmask.pl FIXPIX: image 140727.0028.fits with mask echmask.pl FIXPIX: image 140727.0030.fits with mask echmask.pl FIXPIX: image 140727.0031.fits with mask echmask.pl FIXPIX: image 140727.0032.fits with mask echmask.pl FIXPIX: image 140727.0034.fits with mask echmask.pl FIXPIX: image 140727.0035.fits with mask echmask.pl FIXPIX: image 140727.0036.fits with mask echmask.pl FIXPIX: image 140727.0037.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl FIXPIX: image EchelleThAr.0018.fits with mask echmask.pl FIXPIX: image EchelleThAr.0019.fits with mask echmask.pl FIXPIX: image EchelleThAr.0020.fits with mask echmask.pl FIXPIX: image EchelleThAr.0026.fits with mask echmask.pl FIXPIX: image EchelleThAr.0029.fits with mask echmask.pl FIXPIX: image EchelleThAr.0033.fits with mask echmask.pl FIXPIX: image EchelleThAr.0038.fits with mask echmask.pl Jul 31 17:20: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 0.9 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.9 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 0.9 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.9 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 0.9 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 140727.0025.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] bias_fid: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0025.fits: Jul 31 17:20 Zero level correction image is bias_fid 140727.0027.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0027.fits: Jul 31 17:20 Zero level correction image is bias_fid 140727.0028.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0028.fits: Jul 31 17:20 Zero level correction image is bias_fid 140727.0030.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0030.fits: Jul 31 17:20 Zero level correction image is bias_fid 140727.0031.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0031.fits: Jul 31 17:20 Zero level correction image is bias_fid 140727.0032.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0032.fits: Jul 31 17:20 Zero level correction image is bias_fid 140727.0034.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0034.fits: Jul 31 17:20 Zero level correction image is bias_fid 140727.0035.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0035.fits: Jul 31 17:20 Zero level correction image is bias_fid 140727.0036.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0036.fits: Jul 31 17:20 Zero level correction image is bias_fid 140727.0037.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] 140727.0037.fits: Jul 31 17:20 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleFlat.0012.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleFlat.0013.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Jul 31 17:20 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0021.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0021.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleFlatBlue.0022.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0022.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleFlatBlue.0023.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0023.fits: Jul 31 17:20 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleThAr.0018.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleThAr.0019.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleThAr.0020.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleThAr.0026.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleThAr.0026.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleThAr.0029.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleThAr.0029.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleThAr.0033.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleThAr.0033.fits: Jul 31 17:20 Zero level correction image is bias_fid EchelleThAr.0038.fits: Jul 31 17:20 Trim data section is [200:1850,1:2048] EchelleThAr.0038.fits: Jul 31 17:20 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Jul 31 17:20: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0021.fits 200.0 EchelleFlatBlue.0022.fits 200.0 EchelleFlatBlue.0023.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Jul 31 17:20: 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... Jul 31 17:20: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1618. Jul 31 17:20: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1619. Jul 31 17:20: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1625. Jul 31 17:20: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1626. Jul 31 17:20: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1632. Jul 31 17:20: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1633. Jul 31 17:20: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1641. Jul 31 17:20: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1642. Jul 31 17:20: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1643. Jul 31 17:20: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1573. Jul 31 17:20: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1574. Jul 31 17:20: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1603. Jul 31 17:20: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1604. Jul 31 17:20: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1605. Jul 31 17:20: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 170. Jul 31 17:20: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 169. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1581. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1582. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1631. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1632. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1633. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1634. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1635. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1637. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1638. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1644. Jul 31 17:20: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1645. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1592. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1593. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1611. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1612. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1613. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1614. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1615. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 154. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 153. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 140. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 139. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 136. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 135. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 98. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 97. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 95. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 94. Jul 31 17:20: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 93. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1536. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1537. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1538. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 170. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 169. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 168. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 135. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 134. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 133. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 111. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 110. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 109. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 108. Jul 31 17:20: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 107. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1540. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1541. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1542. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1551. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1552. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1595. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1596. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1621. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1622. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1623. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 157. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 156. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 155. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 154. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 153. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 152. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 137. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 136. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 88. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 87. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 86. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 65. Jul 31 17:20: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 64. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1500. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1501. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1540. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1541. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1542. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1543. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1559. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1560. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1563. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1564. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1565. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1577. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1578. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1608. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1609. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1611. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1612. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1636. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1637. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1644. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1645. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1646. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 174. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 173. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 172. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 168. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 167. Jul 31 17:20: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 166. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1384. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1385. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1458. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1459. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1559. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1560. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1567. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1568. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1578. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1579. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1580. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 194. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 193. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 192. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 166. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 165. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 152. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 151. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 143. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 142. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 96. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 95. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 68. Jul 31 17:20: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 67. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1349. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1350. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1450. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1451. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1452. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 242. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 241. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 240. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 220. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 219. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 218. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 217. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 216. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 214. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 213. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 212. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 191. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 190. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 188. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 187. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 184. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 183. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 140. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 139. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 138. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 137. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 124. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 123. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 116. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 115. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 101. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 100. Jul 31 17:20: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 99. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1433. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1434. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1436. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1437. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1461. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1462. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1463. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 239. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 238. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 218. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 217. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 193. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 192. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 167. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 166. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 162. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 161. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 160. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 156. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 155. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 154. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 153. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 141. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 140. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 139. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 129. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 128. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 117. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 116. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 115. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 114. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 99. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 98. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 94. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 93. Jul 31 17:20: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 92. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1223. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1224. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1399. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1400. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1401. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 345. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 344. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 342. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 341. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 306. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 305. Jul 31 17:20: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 304. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1299. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1300. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1337. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1338. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1377. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1378. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1424. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1425. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1496. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1497. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1537. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1538. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1592. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1593. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1594. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1601. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1602. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1614. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1615. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1616. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 336. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 335. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 319. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 318. Jul 31 17:20: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 317. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1302. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1303. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1321. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1322. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1323. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1372. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1373. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1374. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 337. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 336. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 334. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 333. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 249. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 248. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 245. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 244. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 238. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 237. Jul 31 17:20: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 236. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1099. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1100. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1101. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1148. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1149. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1194. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1195. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1204. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1205. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1206. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 438. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 437. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 341. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 340. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 333. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 332. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 298. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 297. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 295. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 294. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 290. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 289. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 243. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 242. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 231. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 230. Jul 31 17:20: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 229. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 948. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 949. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1007. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1008. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1009. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 720. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 719. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 642. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 641. Jul 31 17:20: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 640. Jul 31 17:20: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 835. Jul 31 17:20: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 836. Jul 31 17:20: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 837. Jul 31 17:20: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 574. Jul 31 17:20: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 573. Jul 31 17:20: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 563. Jul 31 17:20: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 562. Jul 31 17:20: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 561. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 13.02 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0017.fits Magnify image EchelleThAr.0017.fits to image EchelleThAr.0017.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0017.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0017.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0018.fits Magnify image EchelleThAr.0018.fits to image EchelleThAr.0018.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0018.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0018.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0019.fits Magnify image EchelleThAr.0019.fits to image EchelleThAr.0019.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0019.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0019.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0020.fits Magnify image EchelleThAr.0020.fits to image EchelleThAr.0020.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0020.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0020.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0026.fits Magnify image EchelleThAr.0026.fits to image EchelleThAr.0026.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0026.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0026.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0029.fits Magnify image EchelleThAr.0029.fits to image EchelleThAr.0029.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.0029.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0029.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0033.fits Magnify image EchelleThAr.0033.fits to image EchelleThAr.0033.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.0033.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0033.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0038.fits Magnify image EchelleThAr.0038.fits to image EchelleThAr.0038.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0038.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0038.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140727.0025 Magnify image 140727.0025 to image 140727.0025. 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 140727.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0025 -> noscat140727.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jul 31 17:21: EXTRACT: WARNING - Aperture 113: Jul 31 17:21: Total variance weighted spectrum flux is 9167.35 Jul 31 17:21: Total unweighted spectrum flux is 2136.748 Jul 31 17:21: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2330824 Jul 31 17:21: EXTRACT: WARNING - Aperture 115: Jul 31 17:21: Total variance weighted spectrum flux is 1006.944 Jul 31 17:21: Total unweighted spectrum flux is 375.4643 Jul 31 17:21: EXTRACT: Aperture 115 variance spectrum bias factor is 0.372875 Resampling the object by a factor of 4 in the y direction... 140727.0027 Magnify image 140727.0027 to image 140727.0027. 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 140727.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0027 -> noscat140727.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jul 31 17:22: EXTRACT: WARNING - Aperture 96: Jul 31 17:22: Total variance weighted spectrum flux is 7999.684 Jul 31 17:22: Total unweighted spectrum flux is 3942.126 Jul 31 17:22: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4927852 Jul 31 17:22: EXTRACT: WARNING - Aperture 103: Jul 31 17:22: Total variance weighted spectrum flux is 8857.508 Jul 31 17:22: Total unweighted spectrum flux is 4374.702 Jul 31 17:22: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4938976 Jul 31 17:22: EXTRACT: WARNING - Aperture 104: Jul 31 17:22: Total variance weighted spectrum flux is 14185.62 Jul 31 17:22: Total unweighted spectrum flux is 6229.715 Jul 31 17:22: EXTRACT: Aperture 104 variance spectrum bias factor is 0.439157 Jul 31 17:22: EXTRACT: WARNING - Aperture 105: Jul 31 17:22: Total variance weighted spectrum flux is 8249.079 Jul 31 17:22: Total unweighted spectrum flux is 3248.03 Jul 31 17:22: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3937446 Jul 31 17:22: EXTRACT: WARNING - Aperture 106: Jul 31 17:22: Total variance weighted spectrum flux is 7000.989 Jul 31 17:22: Total unweighted spectrum flux is 2202.059 Jul 31 17:22: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3145354 Jul 31 17:22: EXTRACT: WARNING - Aperture 107: Jul 31 17:22: Total variance weighted spectrum flux is 8160.248 Jul 31 17:22: Total unweighted spectrum flux is 1643.083 Jul 31 17:22: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2013521 Jul 31 17:22: EXTRACT: WARNING - Aperture 108: Jul 31 17:22: Total variance weighted spectrum flux is 7576.231 Jul 31 17:22: Total unweighted spectrum flux is 534.4453 Jul 31 17:22: EXTRACT: Aperture 108 variance spectrum bias factor is 0.07054237 Jul 31 17:22: EXTRACT: WARNING - Aperture 109: Jul 31 17:22: Total variance weighted spectrum flux is 3263.466 Jul 31 17:22: Total unweighted spectrum flux is 871.7593 Jul 31 17:22: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2671268 Jul 31 17:22: EXTRACT: WARNING - Aperture 111: Jul 31 17:22: Total variance weighted spectrum flux is 8615.553 Jul 31 17:22: Total unweighted spectrum flux is 2429.723 Jul 31 17:22: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2820159 Jul 31 17:22: EXTRACT: WARNING - Aperture 112: Jul 31 17:22: Total variance weighted spectrum flux is 4135.024 Jul 31 17:22: Total unweighted spectrum flux is 673.2141 Jul 31 17:22: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1628078 Jul 31 17:22: EXTRACT: WARNING - Aperture 113: Jul 31 17:22: Total variance weighted spectrum flux is 3629.596 Jul 31 17:22: Total unweighted spectrum flux is 1070.985 Jul 31 17:22: EXTRACT: Aperture 113 variance spectrum bias factor is 0.29507 Jul 31 17:22: EXTRACT: WARNING - Aperture 114: Jul 31 17:22: Total variance weighted spectrum flux is 1105.03 Jul 31 17:22: Total unweighted spectrum flux is 385.8963 Jul 31 17:22: EXTRACT: Aperture 114 variance spectrum bias factor is 0.349218 Jul 31 17:22: EXTRACT: WARNING - Aperture 115: Jul 31 17:22: Total variance weighted spectrum flux is 324.9586 Jul 31 17:22: Total unweighted spectrum flux is -354.1228 Jul 31 17:22: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 140727.0028 Magnify image 140727.0028 to image 140727.0028. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140727.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0028 -> noscat140727.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jul 31 17:22: EXTRACT: WARNING - Aperture 94: Jul 31 17:22: Total variance weighted spectrum flux is 15142.12 Jul 31 17:22: Total unweighted spectrum flux is 6763.845 Jul 31 17:22: EXTRACT: Aperture 94 variance spectrum bias factor is 0.4466908 Jul 31 17:22: EXTRACT: WARNING - Aperture 96: Jul 31 17:22: Total variance weighted spectrum flux is 8922.533 Jul 31 17:22: Total unweighted spectrum flux is -1209.168 Jul 31 17:22: Variance spectrum bias factor ignored Jul 31 17:22: EXTRACT: WARNING - Aperture 98: Jul 31 17:22: Total variance weighted spectrum flux is 10276.95 Jul 31 17:22: Total unweighted spectrum flux is 5059.96 Jul 31 17:22: EXTRACT: Aperture 98 variance spectrum bias factor is 0.4923601 Jul 31 17:22: EXTRACT: WARNING - Aperture 99: Jul 31 17:22: Total variance weighted spectrum flux is 8015.38 Jul 31 17:22: Total unweighted spectrum flux is 3452.81 Jul 31 17:22: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4307731 Jul 31 17:22: EXTRACT: WARNING - Aperture 100: Jul 31 17:22: Total variance weighted spectrum flux is 13898.46 Jul 31 17:22: Total unweighted spectrum flux is 4804.808 Jul 31 17:22: EXTRACT: Aperture 100 variance spectrum bias factor is 0.345708 Jul 31 17:23: EXTRACT: WARNING - Aperture 102: Jul 31 17:23: Total variance weighted spectrum flux is 12573.39 Jul 31 17:23: Total unweighted spectrum flux is 4862.52 Jul 31 17:23: EXTRACT: Aperture 102 variance spectrum bias factor is 0.3867309 Jul 31 17:23: EXTRACT: WARNING - Aperture 103: Jul 31 17:23: Total variance weighted spectrum flux is 7495.613 Jul 31 17:23: Total unweighted spectrum flux is 3251.471 Jul 31 17:23: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4337831 Jul 31 17:23: EXTRACT: WARNING - Aperture 104: Jul 31 17:23: Total variance weighted spectrum flux is 8854.492 Jul 31 17:23: Total unweighted spectrum flux is 783.0446 Jul 31 17:23: EXTRACT: Aperture 104 variance spectrum bias factor is 0.08843472 Jul 31 17:23: EXTRACT: WARNING - Aperture 105: Jul 31 17:23: Total variance weighted spectrum flux is 4657.875 Jul 31 17:23: Total unweighted spectrum flux is 1238.395 Jul 31 17:23: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2658713 Jul 31 17:23: EXTRACT: WARNING - Aperture 106: Jul 31 17:23: Total variance weighted spectrum flux is 8301.747 Jul 31 17:23: Total unweighted spectrum flux is 1824.441 Jul 31 17:23: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2197659 Jul 31 17:23: EXTRACT: WARNING - Aperture 107: Jul 31 17:23: Total variance weighted spectrum flux is 10367.34 Jul 31 17:23: Total unweighted spectrum flux is 300.1024 Jul 31 17:23: EXTRACT: Aperture 107 variance spectrum bias factor is 0.02894692 Jul 31 17:23: EXTRACT: WARNING - Aperture 108: Jul 31 17:23: Total variance weighted spectrum flux is 6842.763 Jul 31 17:23: Total unweighted spectrum flux is -248.4449 Jul 31 17:23: Variance spectrum bias factor ignored Jul 31 17:23: EXTRACT: WARNING - Aperture 109: Jul 31 17:23: Total variance weighted spectrum flux is 5139.566 Jul 31 17:23: Total unweighted spectrum flux is 473.421 Jul 31 17:23: EXTRACT: Aperture 109 variance spectrum bias factor is 0.09211302 Jul 31 17:23: EXTRACT: WARNING - Aperture 110: Jul 31 17:23: Total variance weighted spectrum flux is 3449.302 Jul 31 17:23: Total unweighted spectrum flux is 1201.249 Jul 31 17:23: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3482585 Jul 31 17:23: EXTRACT: WARNING - Aperture 111: Jul 31 17:23: Total variance weighted spectrum flux is 10517.94 Jul 31 17:23: Total unweighted spectrum flux is 1357.673 Jul 31 17:23: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1290816 Jul 31 17:23: EXTRACT: WARNING - Aperture 112: Jul 31 17:23: Total variance weighted spectrum flux is 4005.336 Jul 31 17:23: Total unweighted spectrum flux is 336.7691 Jul 31 17:23: EXTRACT: Aperture 112 variance spectrum bias factor is 0.08408011 Jul 31 17:23: EXTRACT: WARNING - Aperture 113: Jul 31 17:23: Total variance weighted spectrum flux is 2953.153 Jul 31 17:23: Total unweighted spectrum flux is 117.8267 Jul 31 17:23: EXTRACT: Aperture 113 variance spectrum bias factor is 0.0398986 Jul 31 17:23: EXTRACT: WARNING - Aperture 114: Jul 31 17:23: Total variance weighted spectrum flux is 1762.271 Jul 31 17:23: Total unweighted spectrum flux is 76.0926 Jul 31 17:23: EXTRACT: Aperture 114 variance spectrum bias factor is 0.04317872 Jul 31 17:23: EXTRACT: WARNING - Aperture 115: Jul 31 17:23: Total variance weighted spectrum flux is 720.8193 Jul 31 17:23: Total unweighted spectrum flux is -361.0088 Jul 31 17:23: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 140727.0030 Magnify image 140727.0030 to image 140727.0030. 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 140727.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0030 -> noscat140727.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jul 31 17:23: EXTRACT: WARNING - Aperture 108: Jul 31 17:23: Total variance weighted spectrum flux is 11127.97 Jul 31 17:23: Total unweighted spectrum flux is 5144.499 Jul 31 17:23: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4623033 Jul 31 17:23: EXTRACT: WARNING - Aperture 109: Jul 31 17:23: Total variance weighted spectrum flux is 4032.324 Jul 31 17:23: Total unweighted spectrum flux is 1398.319 Jul 31 17:23: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3467775 Jul 31 17:23: EXTRACT: WARNING - Aperture 110: Jul 31 17:23: Total variance weighted spectrum flux is 3674.539 Jul 31 17:23: Total unweighted spectrum flux is 1559.563 Jul 31 17:23: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4244241 Jul 31 17:23: EXTRACT: WARNING - Aperture 111: Jul 31 17:23: Total variance weighted spectrum flux is 8364.723 Jul 31 17:23: Total unweighted spectrum flux is 2756.927 Jul 31 17:23: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3295898 Jul 31 17:23: EXTRACT: WARNING - Aperture 112: Jul 31 17:23: Total variance weighted spectrum flux is 6580.359 Jul 31 17:23: Total unweighted spectrum flux is 1507.43 Jul 31 17:23: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2290803 Jul 31 17:23: EXTRACT: WARNING - Aperture 113: Jul 31 17:23: Total variance weighted spectrum flux is 7958.295 Jul 31 17:23: Total unweighted spectrum flux is 3266.521 Jul 31 17:23: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4104548 Jul 31 17:23: EXTRACT: WARNING - Aperture 114: Jul 31 17:23: Total variance weighted spectrum flux is 1540.473 Jul 31 17:23: Total unweighted spectrum flux is 762.7661 Jul 31 17:23: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4951505 Jul 31 17:23: EXTRACT: WARNING - Aperture 115: Jul 31 17:23: Total variance weighted spectrum flux is 463.9146 Jul 31 17:23: Total unweighted spectrum flux is 130.2585 Jul 31 17:23: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2807813 Resampling the object by a factor of 4 in the y direction... 140727.0031 Magnify image 140727.0031 to image 140727.0031. 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 140727.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0031 -> noscat140727.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 140727.0032 Magnify image 140727.0032 to image 140727.0032. 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 140727.0032,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0032 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0032 -> noscat140727.0032 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jul 31 17:25: EXTRACT: WARNING - Aperture 106: Jul 31 17:25: Total variance weighted spectrum flux is 8153.309 Jul 31 17:25: Total unweighted spectrum flux is 4020.378 Jul 31 17:25: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4930977 Jul 31 17:25: EXTRACT: WARNING - Aperture 107: Jul 31 17:25: Total variance weighted spectrum flux is 5695.916 Jul 31 17:25: Total unweighted spectrum flux is 612.8855 Jul 31 17:25: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1076009 Jul 31 17:25: EXTRACT: WARNING - Aperture 108: Jul 31 17:25: Total variance weighted spectrum flux is 5336.183 Jul 31 17:25: Total unweighted spectrum flux is 1937.171 Jul 31 17:25: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3630255 Jul 31 17:25: EXTRACT: WARNING - Aperture 109: Jul 31 17:25: Total variance weighted spectrum flux is 7813.56 Jul 31 17:25: Total unweighted spectrum flux is 2335.35 Jul 31 17:25: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2988842 Jul 31 17:25: EXTRACT: WARNING - Aperture 111: Jul 31 17:25: Total variance weighted spectrum flux is 7893.625 Jul 31 17:25: Total unweighted spectrum flux is 790.3279 Jul 31 17:25: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1001223 Jul 31 17:25: EXTRACT: WARNING - Aperture 112: Jul 31 17:25: Total variance weighted spectrum flux is 3440.487 Jul 31 17:25: Total unweighted spectrum flux is 1294.215 Jul 31 17:25: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3761719 Jul 31 17:25: EXTRACT: WARNING - Aperture 113: Jul 31 17:25: Total variance weighted spectrum flux is 2286.987 Jul 31 17:25: Total unweighted spectrum flux is 901.7216 Jul 31 17:25: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3942837 Jul 31 17:25: EXTRACT: WARNING - Aperture 114: Jul 31 17:25: Total variance weighted spectrum flux is 1623.371 Jul 31 17:25: Total unweighted spectrum flux is -501.5941 Jul 31 17:25: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 140727.0034 Magnify image 140727.0034 to image 140727.0034. 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 140727.0034,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0034 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0034 -> noscat140727.0034 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jul 31 17:25: EXTRACT: WARNING - Aperture 96: Jul 31 17:25: Total variance weighted spectrum flux is 21125.69 Jul 31 17:25: Total unweighted spectrum flux is 10438.77 Jul 31 17:25: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4941265 Jul 31 17:26: EXTRACT: WARNING - Aperture 105: Jul 31 17:26: Total variance weighted spectrum flux is 7092.637 Jul 31 17:26: Total unweighted spectrum flux is 2318.848 Jul 31 17:26: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3269374 Jul 31 17:26: EXTRACT: WARNING - Aperture 106: Jul 31 17:26: Total variance weighted spectrum flux is 13702.32 Jul 31 17:26: Total unweighted spectrum flux is 4410.465 Jul 31 17:26: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3218772 Jul 31 17:26: EXTRACT: WARNING - Aperture 107: Jul 31 17:26: Total variance weighted spectrum flux is 6053.558 Jul 31 17:26: Total unweighted spectrum flux is 1112.21 Jul 31 17:26: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1837284 Jul 31 17:26: EXTRACT: WARNING - Aperture 108: Jul 31 17:26: Total variance weighted spectrum flux is 11059.86 Jul 31 17:26: Total unweighted spectrum flux is 2359.707 Jul 31 17:26: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2133578 Jul 31 17:26: EXTRACT: WARNING - Aperture 109: Jul 31 17:26: Total variance weighted spectrum flux is 3573.396 Jul 31 17:26: Total unweighted spectrum flux is 1033.925 Jul 31 17:26: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2893396 Jul 31 17:26: EXTRACT: WARNING - Aperture 110: Jul 31 17:26: Total variance weighted spectrum flux is 3430.236 Jul 31 17:26: Total unweighted spectrum flux is 1441.342 Jul 31 17:26: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4201873 Jul 31 17:26: EXTRACT: WARNING - Aperture 111: Jul 31 17:26: Total variance weighted spectrum flux is 12020.23 Jul 31 17:26: Total unweighted spectrum flux is 1318.762 Jul 31 17:26: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1097119 Jul 31 17:26: EXTRACT: WARNING - Aperture 112: Jul 31 17:26: Total variance weighted spectrum flux is 4335.109 Jul 31 17:26: Total unweighted spectrum flux is 332.9825 Jul 31 17:26: EXTRACT: Aperture 112 variance spectrum bias factor is 0.07681064 Jul 31 17:26: EXTRACT: WARNING - Aperture 113: Jul 31 17:26: Total variance weighted spectrum flux is 5512.151 Jul 31 17:26: Total unweighted spectrum flux is 1417.667 Jul 31 17:26: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2571894 Jul 31 17:26: EXTRACT: WARNING - Aperture 114: Jul 31 17:26: Total variance weighted spectrum flux is 1180.375 Jul 31 17:26: Total unweighted spectrum flux is 420.234 Jul 31 17:26: EXTRACT: Aperture 114 variance spectrum bias factor is 0.3560173 Jul 31 17:26: EXTRACT: WARNING - Aperture 115: Jul 31 17:26: Total variance weighted spectrum flux is 274.5598 Jul 31 17:26: Total unweighted spectrum flux is -53.18239 Jul 31 17:26: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 140727.0035 Magnify image 140727.0035 to image 140727.0035. 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 140727.0035,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0035 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0035 -> noscat140727.0035 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jul 31 17:26: EXTRACT: WARNING - Aperture 1: Jul 31 17:26: Total variance weighted spectrum flux is 3975.684 Jul 31 17:26: Total unweighted spectrum flux is 853.9023 Jul 31 17:26: EXTRACT: Aperture 1 variance spectrum bias factor is 0.2147813 Jul 31 17:26: EXTRACT: WARNING - Aperture 98: Jul 31 17:26: Total variance weighted spectrum flux is 11061.43 Jul 31 17:26: Total unweighted spectrum flux is 5087.719 Jul 31 17:26: EXTRACT: Aperture 98 variance spectrum bias factor is 0.4599511 Jul 31 17:26: EXTRACT: WARNING - Aperture 99: Jul 31 17:26: Total variance weighted spectrum flux is 11840.36 Jul 31 17:26: Total unweighted spectrum flux is 3873.425 Jul 31 17:26: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3271375 Jul 31 17:26: EXTRACT: WARNING - Aperture 100: Jul 31 17:26: Total variance weighted spectrum flux is 7183.979 Jul 31 17:26: Total unweighted spectrum flux is 3016.307 Jul 31 17:26: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4198658 Jul 31 17:26: EXTRACT: WARNING - Aperture 101: Jul 31 17:26: Total variance weighted spectrum flux is 7785.75 Jul 31 17:26: Total unweighted spectrum flux is 3693.557 Jul 31 17:26: EXTRACT: Aperture 101 variance spectrum bias factor is 0.4743996 Jul 31 17:26: EXTRACT: WARNING - Aperture 102: Jul 31 17:26: Total variance weighted spectrum flux is 11227.08 Jul 31 17:26: Total unweighted spectrum flux is 3421.14 Jul 31 17:26: EXTRACT: Aperture 102 variance spectrum bias factor is 0.3047222 Jul 31 17:26: EXTRACT: WARNING - Aperture 103: Jul 31 17:26: Total variance weighted spectrum flux is 15339.26 Jul 31 17:26: Total unweighted spectrum flux is 3181.355 Jul 31 17:26: EXTRACT: Aperture 103 variance spectrum bias factor is 0.2073995 Jul 31 17:26: EXTRACT: WARNING - Aperture 104: Jul 31 17:26: Total variance weighted spectrum flux is 8353.896 Jul 31 17:26: Total unweighted spectrum flux is 3070.833 Jul 31 17:26: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3675929 Jul 31 17:26: EXTRACT: WARNING - Aperture 105: Jul 31 17:26: Total variance weighted spectrum flux is 6514.265 Jul 31 17:26: Total unweighted spectrum flux is 1947.209 Jul 31 17:26: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2989146 Jul 31 17:26: EXTRACT: WARNING - Aperture 106: Jul 31 17:26: Total variance weighted spectrum flux is 3548.272 Jul 31 17:26: Total unweighted spectrum flux is 645.9974 Jul 31 17:26: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1820597 Jul 31 17:26: EXTRACT: WARNING - Aperture 107: Jul 31 17:26: Total variance weighted spectrum flux is 5630.849 Jul 31 17:26: Total unweighted spectrum flux is 1148.072 Jul 31 17:26: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2038896 Jul 31 17:26: EXTRACT: WARNING - Aperture 108: Jul 31 17:26: Total variance weighted spectrum flux is 2841.968 Jul 31 17:26: Total unweighted spectrum flux is 345.2986 Jul 31 17:26: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1214998 Jul 31 17:26: EXTRACT: WARNING - Aperture 109: Jul 31 17:26: Total variance weighted spectrum flux is 11418.52 Jul 31 17:26: Total unweighted spectrum flux is 1738.571 Jul 31 17:26: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1522589 Jul 31 17:26: EXTRACT: WARNING - Aperture 110: Jul 31 17:26: Total variance weighted spectrum flux is 2550.212 Jul 31 17:26: Total unweighted spectrum flux is 406.3763 Jul 31 17:26: EXTRACT: Aperture 110 variance spectrum bias factor is 0.15935 Jul 31 17:26: EXTRACT: WARNING - Aperture 111: Jul 31 17:26: Total variance weighted spectrum flux is 5204.234 Jul 31 17:26: Total unweighted spectrum flux is 26.58008 Jul 31 17:26: EXTRACT: Aperture 111 variance spectrum bias factor is 0.005107396 Jul 31 17:26: EXTRACT: WARNING - Aperture 112: Jul 31 17:26: Total variance weighted spectrum flux is 6206.646 Jul 31 17:26: Total unweighted spectrum flux is -142.8833 Jul 31 17:26: Variance spectrum bias factor ignored Jul 31 17:26: EXTRACT: WARNING - Aperture 113: Jul 31 17:26: Total variance weighted spectrum flux is 2052.583 Jul 31 17:26: Total unweighted spectrum flux is 456.1299 Jul 31 17:26: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2222224 Jul 31 17:26: EXTRACT: WARNING - Aperture 114: Jul 31 17:26: Total variance weighted spectrum flux is 1880.379 Jul 31 17:26: Total unweighted spectrum flux is 816.1904 Jul 31 17:26: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4340563 Resampling the object by a factor of 4 in the y direction... 140727.0036 Magnify image 140727.0036 to image 140727.0036. 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 140727.0036,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0036 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0036 -> noscat140727.0036 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jul 31 17:27: EXTRACT: WARNING - Aperture 95: Jul 31 17:27: Total variance weighted spectrum flux is 14647.06 Jul 31 17:27: Total unweighted spectrum flux is 7069.65 Jul 31 17:27: EXTRACT: Aperture 95 variance spectrum bias factor is 0.4826669 Jul 31 17:27: EXTRACT: WARNING - Aperture 96: Jul 31 17:27: Total variance weighted spectrum flux is 14842.26 Jul 31 17:27: Total unweighted spectrum flux is 6309.986 Jul 31 17:27: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4251364 Jul 31 17:27: EXTRACT: WARNING - Aperture 104: Jul 31 17:27: Total variance weighted spectrum flux is 9703.666 Jul 31 17:27: Total unweighted spectrum flux is 4656.418 Jul 31 17:27: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4798618 Jul 31 17:27: EXTRACT: WARNING - Aperture 105: Jul 31 17:27: Total variance weighted spectrum flux is 9385.86 Jul 31 17:27: Total unweighted spectrum flux is 3179.481 Jul 31 17:27: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3387523 Jul 31 17:27: EXTRACT: WARNING - Aperture 106: Jul 31 17:27: Total variance weighted spectrum flux is 14503.09 Jul 31 17:27: Total unweighted spectrum flux is 3202.157 Jul 31 17:27: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2207913 Jul 31 17:27: EXTRACT: WARNING - Aperture 107: Jul 31 17:27: Total variance weighted spectrum flux is 9085.493 Jul 31 17:27: Total unweighted spectrum flux is 2623.303 Jul 31 17:27: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2887354 Jul 31 17:27: EXTRACT: WARNING - Aperture 108: Jul 31 17:27: Total variance weighted spectrum flux is 4641.16 Jul 31 17:27: Total unweighted spectrum flux is 837.256 Jul 31 17:27: EXTRACT: Aperture 108 variance spectrum bias factor is 0.180398 Jul 31 17:27: EXTRACT: WARNING - Aperture 109: Jul 31 17:27: Total variance weighted spectrum flux is 3419.127 Jul 31 17:27: Total unweighted spectrum flux is 1038. Jul 31 17:27: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3035864 Jul 31 17:27: EXTRACT: WARNING - Aperture 110: Jul 31 17:27: Total variance weighted spectrum flux is 9198.096 Jul 31 17:27: Total unweighted spectrum flux is 3383.936 Jul 31 17:27: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3678953 Jul 31 17:27: EXTRACT: WARNING - Aperture 111: Jul 31 17:27: Total variance weighted spectrum flux is 5129.961 Jul 31 17:27: Total unweighted spectrum flux is 788.7884 Jul 31 17:27: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1537611 Jul 31 17:27: EXTRACT: WARNING - Aperture 112: Jul 31 17:27: Total variance weighted spectrum flux is 6189.309 Jul 31 17:27: Total unweighted spectrum flux is 1437.775 Jul 31 17:27: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2322998 Jul 31 17:27: EXTRACT: WARNING - Aperture 113: Jul 31 17:27: Total variance weighted spectrum flux is 3402.166 Jul 31 17:27: Total unweighted spectrum flux is -212.4782 Jul 31 17:27: Variance spectrum bias factor ignored Jul 31 17:27: EXTRACT: WARNING - Aperture 114: Jul 31 17:27: Total variance weighted spectrum flux is -160.3515 Jul 31 17:27: Total unweighted spectrum flux is -893.2665 Jul 31 17:27: EXTRACT: Aperture 114 variance spectrum bias factor is 5.570676 Jul 31 17:27: EXTRACT: WARNING - Aperture 115: Jul 31 17:27: Total variance weighted spectrum flux is 2288.788 Jul 31 17:27: Total unweighted spectrum flux is -196.1916 Jul 31 17:27: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 140727.0037 Magnify image 140727.0037 to image 140727.0037. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 140727.0037,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 140727.0037 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 140727.0037 -> noscat140727.0037 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Jul 31 17:28: EXTRACT: WARNING - Aperture 95: Jul 31 17:28: Total variance weighted spectrum flux is 7873.105 Jul 31 17:28: Total unweighted spectrum flux is 3105.81 Jul 31 17:28: EXTRACT: Aperture 95 variance spectrum bias factor is 0.3944835 Jul 31 17:28: EXTRACT: WARNING - Aperture 100: Jul 31 17:28: Total variance weighted spectrum flux is 5413.168 Jul 31 17:28: Total unweighted spectrum flux is 2468.171 Jul 31 17:28: EXTRACT: Aperture 100 variance spectrum bias factor is 0.4559568 Jul 31 17:28: EXTRACT: WARNING - Aperture 105: Jul 31 17:28: Total variance weighted spectrum flux is 11212.29 Jul 31 17:28: Total unweighted spectrum flux is 3016.704 Jul 31 17:28: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2690533 Jul 31 17:28: EXTRACT: WARNING - Aperture 106: Jul 31 17:28: Total variance weighted spectrum flux is 16389.61 Jul 31 17:28: Total unweighted spectrum flux is 6008.027 Jul 31 17:28: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3665754 Jul 31 17:28: EXTRACT: WARNING - Aperture 107: Jul 31 17:28: Total variance weighted spectrum flux is 7460.894 Jul 31 17:28: Total unweighted spectrum flux is 628.2972 Jul 31 17:28: EXTRACT: Aperture 107 variance spectrum bias factor is 0.08421206 Jul 31 17:28: EXTRACT: WARNING - Aperture 108: Jul 31 17:28: Total variance weighted spectrum flux is 10458.07 Jul 31 17:28: Total unweighted spectrum flux is 1069.559 Jul 31 17:28: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1022711 Jul 31 17:28: EXTRACT: WARNING - Aperture 109: Jul 31 17:28: Total variance weighted spectrum flux is 5006.686 Jul 31 17:28: Total unweighted spectrum flux is 1287.16 Jul 31 17:28: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2570882 Jul 31 17:28: EXTRACT: WARNING - Aperture 110: Jul 31 17:28: Total variance weighted spectrum flux is 4707.745 Jul 31 17:28: Total unweighted spectrum flux is 1248.288 Jul 31 17:28: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2651563 Jul 31 17:28: EXTRACT: WARNING - Aperture 111: Jul 31 17:28: Total variance weighted spectrum flux is 5825.962 Jul 31 17:28: Total unweighted spectrum flux is 1917.932 Jul 31 17:28: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3292044 Jul 31 17:28: EXTRACT: WARNING - Aperture 112: Jul 31 17:28: Total variance weighted spectrum flux is 4448.444 Jul 31 17:28: Total unweighted spectrum flux is 723.5407 Jul 31 17:28: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1626503 Jul 31 17:28: EXTRACT: WARNING - Aperture 113: Jul 31 17:28: Total variance weighted spectrum flux is 1294.209 Jul 31 17:28: Total unweighted spectrum flux is -310.0359 Jul 31 17:28: Variance spectrum bias factor ignored Jul 31 17:28: EXTRACT: WARNING - Aperture 115: Jul 31 17:28: Total variance weighted spectrum flux is 1240.957 Jul 31 17:28: Total unweighted spectrum flux is -8.192935 Jul 31 17:28: Variance spectrum bias factor ignored add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,REFSPEC1 = EchelleThAr.0018.ec.fits EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,REFSPEC1 = EchelleThAr.0019.ec.fits EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.ec.fits updated add EchelleThAr.0026.ec.fits,REFSPEC1 = EchelleThAr.0026.ec.fits EchelleThAr.0026.ec.fits updated add EchelleThAr.0029.ec.fits,REFSPEC1 = EchelleThAr.0029.ec.fits EchelleThAr.0029.ec.fits updated add EchelleThAr.0033.ec.fits,REFSPEC1 = EchelleThAr.0033.ec.fits EchelleThAr.0033.ec.fits updated add EchelleThAr.0038.ec.fits,REFSPEC1 = EchelleThAr.0038.ec.fits EchelleThAr.0038.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0017.ec.fits,UTMIDDLE = 0 EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 0 -> 01:37:28.848040 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 01:40:20.443278 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 01:43:23.934232 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 01:46:26.426216 EchelleThAr.0020.ec.fits updated add EchelleThAr.0026.ec.fits,UTMIDDLE = 0 EchelleThAr.0026.ec.fits updated EchelleThAr.0026.ec.fits,UTMIDDLE: 0 -> 03:04:12.124775 EchelleThAr.0026.ec.fits updated add EchelleThAr.0029.ec.fits,UTMIDDLE = 0 EchelleThAr.0029.ec.fits updated EchelleThAr.0029.ec.fits,UTMIDDLE: 0 -> 04:03:16.486788 EchelleThAr.0029.ec.fits updated add EchelleThAr.0033.ec.fits,UTMIDDLE = 0 EchelleThAr.0033.ec.fits updated EchelleThAr.0033.ec.fits,UTMIDDLE: 0 -> 05:10:03.627732 EchelleThAr.0033.ec.fits updated add EchelleThAr.0038.ec.fits,UTMIDDLE = 0 EchelleThAr.0038.ec.fits updated EchelleThAr.0038.ec.fits,UTMIDDLE: 0 -> 07:03:48.126293 EchelleThAr.0038.ec.fits updated add 140727.0025.ec.fits,UTMIDDLE = 0 140727.0025.ec.fits updated 140727.0025.ec.fits,UTMIDDLE: 0 -> 02:53:46.322190 140727.0025.ec.fits updated add 140727.0027.ec.fits,UTMIDDLE = 0 140727.0027.ec.fits updated 140727.0027.ec.fits,UTMIDDLE: 0 -> 03:19:57.158781 140727.0027.ec.fits updated add 140727.0028.ec.fits,UTMIDDLE = 0 140727.0028.ec.fits updated 140727.0028.ec.fits,UTMIDDLE: 0 -> 03:47:32.995889 140727.0028.ec.fits updated add 140727.0030.ec.fits,UTMIDDLE = 0 140727.0030.ec.fits updated 140727.0030.ec.fits,UTMIDDLE: 0 -> 04:16:11.758770 140727.0030.ec.fits updated add 140727.0031.ec.fits,UTMIDDLE = 0 140727.0031.ec.fits updated 140727.0031.ec.fits,UTMIDDLE: 0 -> 04:36:38.222830 140727.0031.ec.fits updated add 140727.0032.ec.fits,UTMIDDLE = 0 140727.0032.ec.fits updated 140727.0032.ec.fits,UTMIDDLE: 0 -> 04:55:13.383230 140727.0032.ec.fits updated add 140727.0034.ec.fits,UTMIDDLE = 0 140727.0034.ec.fits updated 140727.0034.ec.fits,UTMIDDLE: 0 -> 05:25:27.823240 140727.0034.ec.fits updated add 140727.0035.ec.fits,UTMIDDLE = 0 140727.0035.ec.fits updated 140727.0035.ec.fits,UTMIDDLE: 0 -> 05:53:26.345743 140727.0035.ec.fits updated add 140727.0036.ec.fits,UTMIDDLE = 0 140727.0036.ec.fits updated 140727.0036.ec.fits,UTMIDDLE: 0 -> 06:23:13.648225 140727.0036.ec.fits updated add 140727.0037.ec.fits,UTMIDDLE = 0 140727.0037.ec.fits updated 140727.0037.ec.fits,UTMIDDLE: 0 -> 06:48:21.946835 140727.0037.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 140727.0025.ec.fits 2456865.62067 2456865.62333 2456865 140727.0027.ec.fits 2456865.63886 2456865.64180 2456865 140727.0028.ec.fits 2456865.65802 2456865.66043 2456865 140727.0030.ec.fits 2456865.67791 2456865.68084 2456865 140727.0031.ec.fits 2456865.69211 2456865.69426 2456865 140727.0032.ec.fits 2456865.70502 2456865.70794 2456865 140727.0034.ec.fits 2456865.72602 2456865.72876 2456865 140727.0035.ec.fits 2456865.74544 2456865.74779 2456865 140727.0036.ec.fits 2456865.76613 2456865.76875 2456865 140727.0037.ec.fits 2456865.78359 2456865.78625 2456865 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Thu 17:28:20 31-Jul-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 939/2055 939/939 3.95 -29. -5.1E-5 0.0149 EchelleThAr.0018.ec 1987/2055 1987/1987 4.04 -29.6 -5.2E-5 0.00916 EchelleThAr.0019.ec 1992/2055 1992/1992 4.11 -30.2 -5.3E-5 0.00874 EchelleThAr.0020.ec 1996/2055 1996/1996 4.16 -30.5 -5.4E-5 0.00901 EchelleThAr.0026.ec 1960/2055 1960/1960 4.67 -34.3 -6.0E-5 0.0103 EchelleThAr.0029.ec 1959/2055 1959/1959 4.62 -33.9 -6.0E-5 0.00985 EchelleThAr.0033.ec 1984/2055 1984/1984 5.14 -37.7 -6.7E-5 0.0104 EchelleThAr.0038.ec 1992/2055 1992/1992 4.27 -31.3 -5.5E-5 0.00951 [140727.0025.ec] refspec1='EchelleThAr.0020.ec 0.13412838' [140727.0025.ec] refspec2='EchelleThAr.0026.ec 0.86587161' [140727.0027.ec] refspec1='EchelleThAr.0026.ec 0.73336977' [140727.0027.ec] refspec2='EchelleThAr.0029.ec 0.2666302' [140727.0028.ec] refspec1='EchelleThAr.0026.ec 0.26619485' [140727.0028.ec] refspec2='EchelleThAr.0029.ec 0.73380518' [140727.0030.ec] refspec1='EchelleThAr.0029.ec 0.80652738' [140727.0030.ec] refspec2='EchelleThAr.0033.ec 0.19347259' [140727.0031.ec] refspec1='EchelleThAr.0029.ec 0.50045776' [140727.0031.ec] refspec2='EchelleThAr.0033.ec 0.49954221' [140727.0032.ec] refspec1='EchelleThAr.0029.ec 0.22216451' [140727.0032.ec] refspec2='EchelleThAr.0033.ec 0.77783549' [140727.0034.ec] refspec1='EchelleThAr.0033.ec 0.86457682' [140727.0034.ec] refspec2='EchelleThAr.0038.ec 0.13542321' [140727.0035.ec] refspec1='EchelleThAr.0033.ec 0.61862135' [140727.0035.ec] refspec2='EchelleThAr.0038.ec 0.38137865' [140727.0036.ec] refspec1='EchelleThAr.0033.ec 0.35672629' [140727.0036.ec] refspec2='EchelleThAr.0038.ec 0.64327371' [140727.0037.ec] refspec1='EchelleThAr.0033.ec 0.13571392' [140727.0037.ec] refspec2='EchelleThAr.0038.ec 0.86428607' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0019.ec] refspec1='EchelleThAr.0019.ec' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0026.ec] refspec1='EchelleThAr.0026.ec' [EchelleThAr.0029.ec] refspec1='EchelleThAr.0029.ec' [EchelleThAr.0033.ec] refspec1='EchelleThAr.0033.ec' [EchelleThAr.0038.ec] refspec1='EchelleThAr.0038.ec' 140727.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.13412838' 140727.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0026.ec 0.86587161' 140727.0025.ec.fits: ap = 1, w1 = 10812.4, w2 = 10584.24, dw = -0.13827, nw = 1651 140727.0025.ec.fits: ap = 2, w1 = 10612.18, w2 = 10388.25, dw = -0.13571, nw = 1651 140727.0025.ec.fits: ap = 3, w1 = 10419.24, w2 = 10199.39, dw = -0.13324, nw = 1651 140727.0025.ec.fits: ap = 4, w1 = 10233.2, w2 = 10017.28, dw = -0.13086, nw = 1651 140727.0025.ec.fits: ap = 5, w1 = 10053.68, w2 = 9841.549, dw = -0.12857, nw = 1651 140727.0025.ec.fits: ap = 6, w1 = 9880.357, w2 = 9671.882, dw = -0.12635, nw = 1651 140727.0025.ec.fits: ap = 7, w1 = 9712.905, w2 = 9507.966, dw = -0.12421, nw = 1651 140727.0025.ec.fits: ap = 8, w1 = 9551.036, w2 = 9349.515, dw = -0.12213, nw = 1651 140727.0025.ec.fits: ap = 9, w1 = 9394.473, w2 = 9196.258, dw = -0.12013, nw = 1651 140727.0025.ec.fits: ap = 10, w1 = 9242.961, w2 = 9047.945, dw = -0.11819, nw = 1651 140727.0025.ec.fits: ap = 11, w1 = 9096.259, w2 = 8904.341, dw = -0.11631, nw = 1651 140727.0025.ec.fits: ap = 12, w1 = 8954.141, w2 = 8765.224, dw = -0.11449, nw = 1651 140727.0025.ec.fits: ap = 13, w1 = 8816.396, w2 = 8630.388, dw = -0.11273, nw = 1651 140727.0025.ec.fits: ap = 14, w1 = 8682.825, w2 = 8499.638, dw = -0.11102, nw = 1651 140727.0025.ec.fits: ap = 15, w1 = 8553.241, w2 = 8372.791, dw = -0.10936, nw = 1651 140727.0025.ec.fits: ap = 16, w1 = 8427.469, w2 = 8249.674, dw = -0.10775, nw = 1651 140727.0025.ec.fits: ap = 17, w1 = 8305.342, w2 = 8130.127, dw = -0.10619, nw = 1651 140727.0025.ec.fits: ap = 18, w1 = 8186.704, w2 = 8013.994, dw = -0.10467, nw = 1651 140727.0025.ec.fits: ap = 19, w1 = 8071.409, w2 = 7901.134, dw = -0.1032, nw = 1651 140727.0025.ec.fits: ap = 20, w1 = 7959.315, w2 = 7791.408, dw = -0.10176, nw = 1651 140727.0025.ec.fits: ap = 21, w1 = 7850.294, w2 = 7684.689, dw = -0.10037, nw = 1651 140727.0025.ec.fits: ap = 22, w1 = 7744.218, w2 = 7580.854, dw = -0.09901, nw = 1651 140727.0025.ec.fits: ap = 23, w1 = 7640.972, w2 = 7479.788, dw = -0.09769, nw = 1651 140727.0025.ec.fits: ap = 24, w1 = 7540.442, w2 = 7381.381, dw = -0.0964, nw = 1651 140727.0025.ec.fits: ap = 25, w1 = 7442.523, w2 = 7285.531, dw = -0.09515, nw = 1651 140727.0025.ec.fits: ap = 26, w1 = 7347.116, w2 = 7192.138, dw = -0.09393, nw = 1651 140727.0025.ec.fits: ap = 27, w1 = 7254.123, w2 = 7101.11, dw = -0.09274, nw = 1651 140727.0025.ec.fits: ap = 28, w1 = 7163.456, w2 = 7012.357, dw = -0.09158, nw = 1651 140727.0025.ec.fits: ap = 29, w1 = 7075.027, w2 = 6925.796, dw = -0.09044, nw = 1651 140727.0025.ec.fits: ap = 30, w1 = 6988.755, w2 = 6841.346, dw = -0.08934, nw = 1651 140727.0025.ec.fits: ap = 31, w1 = 6904.562, w2 = 6758.931, dw = -0.08826, nw = 1651 140727.0025.ec.fits: ap = 32, w1 = 6822.374, w2 = 6678.479, dw = -0.08721, nw = 1651 140727.0025.ec.fits: ap = 33, w1 = 6742.119, w2 = 6599.919, dw = -0.08618, nw = 1651 140727.0025.ec.fits: ap = 34, w1 = 6663.731, w2 = 6523.187, dw = -0.08518, nw = 1651 140727.0025.ec.fits: ap = 35, w1 = 6587.145, w2 = 6448.218, dw = -0.0842, nw = 1651 140727.0025.ec.fits: ap = 36, w1 = 6512.3, w2 = 6374.954, dw = -0.08324, nw = 1651 140727.0025.ec.fits: ap = 37, w1 = 6439.137, w2 = 6303.335, dw = -0.0823, nw = 1651 140727.0025.ec.fits: ap = 38, w1 = 6367.599, w2 = 6233.309, dw = -0.08139, nw = 1651 140727.0025.ec.fits: ap = 39, w1 = 6297.634, w2 = 6164.821, dw = -0.08049, nw = 1651 140727.0025.ec.fits: ap = 40, w1 = 6229.19, w2 = 6097.823, dw = -0.07962, nw = 1651 140727.0025.ec.fits: ap = 41, w1 = 6162.218, w2 = 6032.265, dw = -0.07876, nw = 1651 140727.0025.ec.fits: ap = 42, w1 = 6096.671, w2 = 5968.102, dw = -0.07792, nw = 1651 140727.0025.ec.fits: ap = 43, w1 = 6032.503, w2 = 5905.29, dw = -0.0771, nw = 1651 140727.0025.ec.fits: ap = 44, w1 = 5969.673, w2 = 5843.787, dw = -0.07629, nw = 1651 140727.0025.ec.fits: ap = 45, w1 = 5908.138, w2 = 5783.551, dw = -0.07551, nw = 1651 140727.0025.ec.fits: ap = 46, w1 = 5847.859, w2 = 5724.545, dw = -0.07474, nw = 1651 140727.0025.ec.fits: ap = 47, w1 = 5788.798, w2 = 5666.732, dw = -0.07398, nw = 1651 140727.0025.ec.fits: ap = 48, w1 = 5730.919, w2 = 5610.074, dw = -0.07324, nw = 1651 140727.0025.ec.fits: ap = 49, w1 = 5674.185, w2 = 5554.539, dw = -0.07251, nw = 1651 140727.0025.ec.fits: ap = 50, w1 = 5618.564, w2 = 5500.092, dw = -0.0718, nw = 1651 140727.0025.ec.fits: ap = 51, w1 = 5564.023, w2 = 5446.703, dw = -0.0711, nw = 1651 140727.0025.ec.fits: ap = 52, w1 = 5510.531, w2 = 5394.341, dw = -0.07042, nw = 1651 140727.0025.ec.fits: ap = 53, w1 = 5458.058, w2 = 5342.976, dw = -0.06975, nw = 1651 140727.0025.ec.fits: ap = 54, w1 = 5406.575, w2 = 5292.58, dw = -0.06909, nw = 1651 140727.0025.ec.fits: ap = 55, w1 = 5356.054, w2 = 5243.126, dw = -0.06844, nw = 1651 140727.0025.ec.fits: ap = 56, w1 = 5306.469, w2 = 5194.588, dw = -0.06781, nw = 1651 140727.0025.ec.fits: ap = 57, w1 = 5257.794, w2 = 5146.941, dw = -0.06718, nw = 1651 140727.0025.ec.fits: ap = 58, w1 = 5210.004, w2 = 5100.16, dw = -0.06657, nw = 1651 140727.0025.ec.fits: ap = 59, w1 = 5163.075, w2 = 5054.222, dw = -0.06597, nw = 1651 140727.0025.ec.fits: ap = 60, w1 = 5116.984, w2 = 5009.105, dw = -0.06538, nw = 1651 140727.0025.ec.fits: ap = 61, w1 = 5071.709, w2 = 4964.786, dw = -0.0648, nw = 1651 140727.0025.ec.fits: ap = 62, w1 = 5027.229, w2 = 4921.245, dw = -0.06423, nw = 1651 140727.0025.ec.fits: ap = 63, w1 = 4983.522, w2 = 4878.461, dw = -0.06367, nw = 1651 140727.0025.ec.fits: ap = 64, w1 = 4940.569, w2 = 4836.415, dw = -0.06312, nw = 1651 140727.0025.ec.fits: ap = 65, w1 = 4898.349, w2 = 4795.087, dw = -0.06258, nw = 1651 140727.0025.ec.fits: ap = 66, w1 = 4856.846, w2 = 4754.46, dw = -0.06205, nw = 1651 140727.0025.ec.fits: ap = 67, w1 = 4816.04, w2 = 4714.516, dw = -0.06153, nw = 1651 140727.0025.ec.fits: ap = 68, w1 = 4775.915, w2 = 4675.238, dw = -0.06102, nw = 1651 140727.0025.ec.fits: ap = 69, w1 = 4736.452, w2 = 4636.609, dw = -0.06051, nw = 1651 140727.0025.ec.fits: ap = 70, w1 = 4697.637, w2 = 4598.614, dw = -0.06001, nw = 1651 140727.0025.ec.fits: ap = 71, w1 = 4659.453, w2 = 4561.236, dw = -0.05953, nw = 1651 140727.0025.ec.fits: ap = 72, w1 = 4621.885, w2 = 4524.462, dw = -0.05904, nw = 1651 140727.0025.ec.fits: ap = 73, w1 = 4584.918, w2 = 4488.275, dw = -0.05857, nw = 1651 140727.0025.ec.fits: ap = 74, w1 = 4548.538, w2 = 4452.664, dw = -0.05811, nw = 1651 140727.0025.ec.fits: ap = 75, w1 = 4512.73, w2 = 4417.613, dw = -0.05765, nw = 1651 140727.0025.ec.fits: ap = 76, w1 = 4477.483, w2 = 4383.11, dw = -0.0572, nw = 1651 140727.0025.ec.fits: ap = 77, w1 = 4442.782, w2 = 4349.142, dw = -0.05675, nw = 1651 140727.0025.ec.fits: ap = 78, w1 = 4408.614, w2 = 4315.697, dw = -0.05631, nw = 1651 140727.0025.ec.fits: ap = 79, w1 = 4374.969, w2 = 4282.762, dw = -0.05588, nw = 1651 140727.0025.ec.fits: ap = 80, w1 = 4341.833, w2 = 4250.327, dw = -0.05546, nw = 1651 140727.0025.ec.fits: ap = 81, w1 = 4309.196, w2 = 4218.379, dw = -0.05504, nw = 1651 140727.0025.ec.fits: ap = 82, w1 = 4277.046, w2 = 4186.908, dw = -0.05463, nw = 1651 140727.0025.ec.fits: ap = 83, w1 = 4245.372, w2 = 4155.904, dw = -0.05422, nw = 1651 140727.0025.ec.fits: ap = 84, w1 = 4214.164, w2 = 4125.356, dw = -0.05382, nw = 1651 140727.0025.ec.fits: ap = 85, w1 = 4183.412, w2 = 4095.253, dw = -0.05343, nw = 1651 140727.0025.ec.fits: ap = 86, w1 = 4153.105, w2 = 4065.588, dw = -0.05304, nw = 1651 140727.0025.ec.fits: ap = 87, w1 = 4123.235, w2 = 4036.349, dw = -0.05266, nw = 1651 140727.0025.ec.fits: ap = 88, w1 = 4093.791, w2 = 4007.528, dw = -0.05228, nw = 1651 140727.0025.ec.fits: ap = 89, w1 = 4064.765, w2 = 3979.116, dw = -0.05191, nw = 1651 140727.0025.ec.fits: ap = 90, w1 = 4036.148, w2 = 3951.104, dw = -0.05154, nw = 1651 140727.0025.ec.fits: ap = 91, w1 = 4007.931, w2 = 3923.484, dw = -0.05118, nw = 1651 140727.0025.ec.fits: ap = 92, w1 = 3980.106, w2 = 3896.248, dw = -0.05082, nw = 1651 140727.0025.ec.fits: ap = 93, w1 = 3952.665, w2 = 3869.387, dw = -0.05047, nw = 1651 140727.0025.ec.fits: ap = 94, w1 = 3925.6, w2 = 3842.895, dw = -0.05012, nw = 1651 140727.0025.ec.fits: ap = 95, w1 = 3898.903, w2 = 3816.763, dw = -0.04978, nw = 1651 140727.0025.ec.fits: ap = 96, w1 = 3872.567, w2 = 3790.985, dw = -0.04944, nw = 1651 140727.0025.ec.fits: ap = 97, w1 = 3846.585, w2 = 3765.552, dw = -0.04911, nw = 1651 140727.0025.ec.fits: ap = 98, w1 = 3820.949, w2 = 3740.459, dw = -0.04878, nw = 1651 140727.0025.ec.fits: ap = 99, w1 = 3795.652, w2 = 3715.698, dw = -0.04846, nw = 1651 140727.0025.ec.fits: ap = 100, w1 = 3770.689, w2 = 3691.264, dw = -0.04814, nw = 1651 140727.0025.ec.fits: ap = 101, w1 = 3746.052, w2 = 3667.149, dw = -0.04782, nw = 1651 140727.0025.ec.fits: ap = 102, w1 = 3721.734, w2 = 3643.347, dw = -0.04751, nw = 1651 140727.0025.ec.fits: ap = 103, w1 = 3697.731, w2 = 3619.852, dw = -0.0472, nw = 1651 140727.0025.ec.fits: ap = 104, w1 = 3674.035, w2 = 3596.659, dw = -0.04689, nw = 1651 140727.0025.ec.fits: ap = 105, w1 = 3650.642, w2 = 3573.761, dw = -0.04659, nw = 1651 140727.0025.ec.fits: ap = 106, w1 = 3627.544, w2 = 3551.154, dw = -0.0463, nw = 1651 140727.0025.ec.fits: ap = 107, w1 = 3604.737, w2 = 3528.831, dw = -0.046, nw = 1651 140727.0025.ec.fits: ap = 108, w1 = 3582.215, w2 = 3506.787, dw = -0.04571, nw = 1651 140727.0025.ec.fits: ap = 109, w1 = 3559.973, w2 = 3485.017, dw = -0.04543, nw = 1651 140727.0025.ec.fits: ap = 110, w1 = 3538.006, w2 = 3463.516, dw = -0.04515, nw = 1651 140727.0025.ec.fits: ap = 111, w1 = 3516.308, w2 = 3442.279, dw = -0.04487, nw = 1651 140727.0025.ec.fits: ap = 112, w1 = 3494.874, w2 = 3421.301, dw = -0.04459, nw = 1651 140727.0025.ec.fits: ap = 113, w1 = 3473.701, w2 = 3400.577, dw = -0.04432, nw = 1651 140727.0025.ec.fits: ap = 114, w1 = 3452.782, w2 = 3380.104, dw = -0.04405, nw = 1651 140727.0025.ec.fits: ap = 115, w1 = 3432.115, w2 = 3359.876, dw = -0.04378, nw = 1651 140727.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.73336977' 140727.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.2666302' 140727.0027.ec.fits: ap = 1, w1 = 10812.41, w2 = 10584.24, dw = -0.13828, nw = 1651 140727.0027.ec.fits: ap = 2, w1 = 10612.19, w2 = 10388.26, dw = -0.13572, nw = 1651 140727.0027.ec.fits: ap = 3, w1 = 10419.26, w2 = 10199.4, dw = -0.13325, nw = 1651 140727.0027.ec.fits: ap = 4, w1 = 10233.21, w2 = 10017.28, dw = -0.13087, nw = 1651 140727.0027.ec.fits: ap = 5, w1 = 10053.69, w2 = 9841.553, dw = -0.12857, nw = 1651 140727.0027.ec.fits: ap = 6, w1 = 9880.366, w2 = 9671.886, dw = -0.12635, nw = 1651 140727.0027.ec.fits: ap = 7, w1 = 9712.914, w2 = 9507.971, dw = -0.12421, nw = 1651 140727.0027.ec.fits: ap = 8, w1 = 9551.044, w2 = 9349.519, dw = -0.12214, nw = 1651 140727.0027.ec.fits: ap = 9, w1 = 9394.481, w2 = 9196.263, dw = -0.12013, nw = 1651 140727.0027.ec.fits: ap = 10, w1 = 9242.968, w2 = 9047.95, dw = -0.11819, nw = 1651 140727.0027.ec.fits: ap = 11, w1 = 9096.266, w2 = 8904.346, dw = -0.11631, nw = 1651 140727.0027.ec.fits: ap = 12, w1 = 8954.148, w2 = 8765.229, dw = -0.1145, nw = 1651 140727.0027.ec.fits: ap = 13, w1 = 8816.402, w2 = 8630.393, dw = -0.11273, nw = 1651 140727.0027.ec.fits: ap = 14, w1 = 8682.831, w2 = 8499.643, dw = -0.11102, nw = 1651 140727.0027.ec.fits: ap = 15, w1 = 8553.247, w2 = 8372.796, dw = -0.10936, nw = 1651 140727.0027.ec.fits: ap = 16, w1 = 8427.475, w2 = 8249.679, dw = -0.10775, nw = 1651 140727.0027.ec.fits: ap = 17, w1 = 8305.348, w2 = 8130.131, dw = -0.10619, nw = 1651 140727.0027.ec.fits: ap = 18, w1 = 8186.71, w2 = 8013.999, dw = -0.10467, nw = 1651 140727.0027.ec.fits: ap = 19, w1 = 8071.415, w2 = 7901.138, dw = -0.1032, nw = 1651 140727.0027.ec.fits: ap = 20, w1 = 7959.322, w2 = 7791.412, dw = -0.10176, nw = 1651 140727.0027.ec.fits: ap = 21, w1 = 7850.3, w2 = 7684.693, dw = -0.10037, nw = 1651 140727.0027.ec.fits: ap = 22, w1 = 7744.224, w2 = 7580.857, dw = -0.09901, nw = 1651 140727.0027.ec.fits: ap = 23, w1 = 7640.978, w2 = 7479.791, dw = -0.09769, nw = 1651 140727.0027.ec.fits: ap = 24, w1 = 7540.448, w2 = 7381.384, dw = -0.0964, nw = 1651 140727.0027.ec.fits: ap = 25, w1 = 7442.53, w2 = 7285.534, dw = -0.09515, nw = 1651 140727.0027.ec.fits: ap = 26, w1 = 7347.122, w2 = 7192.141, dw = -0.09393, nw = 1651 140727.0027.ec.fits: ap = 27, w1 = 7254.13, w2 = 7101.112, dw = -0.09274, nw = 1651 140727.0027.ec.fits: ap = 28, w1 = 7163.463, w2 = 7012.36, dw = -0.09158, nw = 1651 140727.0027.ec.fits: ap = 29, w1 = 7075.034, w2 = 6925.798, dw = -0.09045, nw = 1651 140727.0027.ec.fits: ap = 30, w1 = 6988.762, w2 = 6841.348, dw = -0.08934, nw = 1651 140727.0027.ec.fits: ap = 31, w1 = 6904.569, w2 = 6758.933, dw = -0.08826, nw = 1651 140727.0027.ec.fits: ap = 32, w1 = 6822.381, w2 = 6678.481, dw = -0.08721, nw = 1651 140727.0027.ec.fits: ap = 33, w1 = 6742.126, w2 = 6599.921, dw = -0.08618, nw = 1651 140727.0027.ec.fits: ap = 34, w1 = 6663.738, w2 = 6523.188, dw = -0.08518, nw = 1651 140727.0027.ec.fits: ap = 35, w1 = 6587.152, w2 = 6448.22, dw = -0.0842, nw = 1651 140727.0027.ec.fits: ap = 36, w1 = 6512.307, w2 = 6374.955, dw = -0.08324, nw = 1651 140727.0027.ec.fits: ap = 37, w1 = 6439.143, w2 = 6303.337, dw = -0.08231, nw = 1651 140727.0027.ec.fits: ap = 38, w1 = 6367.606, w2 = 6233.31, dw = -0.08139, nw = 1651 140727.0027.ec.fits: ap = 39, w1 = 6297.641, w2 = 6164.822, dw = -0.0805, nw = 1651 140727.0027.ec.fits: ap = 40, w1 = 6229.196, w2 = 6097.824, dw = -0.07962, nw = 1651 140727.0027.ec.fits: ap = 41, w1 = 6162.224, w2 = 6032.266, dw = -0.07876, nw = 1651 140727.0027.ec.fits: ap = 42, w1 = 6096.677, w2 = 5968.103, dw = -0.07792, nw = 1651 140727.0027.ec.fits: ap = 43, w1 = 6032.51, w2 = 5905.291, dw = -0.0771, nw = 1651 140727.0027.ec.fits: ap = 44, w1 = 5969.679, w2 = 5843.787, dw = -0.0763, nw = 1651 140727.0027.ec.fits: ap = 45, w1 = 5908.144, w2 = 5783.552, dw = -0.07551, nw = 1651 140727.0027.ec.fits: ap = 46, w1 = 5847.865, w2 = 5724.546, dw = -0.07474, nw = 1651 140727.0027.ec.fits: ap = 47, w1 = 5788.804, w2 = 5666.732, dw = -0.07398, nw = 1651 140727.0027.ec.fits: ap = 48, w1 = 5730.924, w2 = 5610.075, dw = -0.07324, nw = 1651 140727.0027.ec.fits: ap = 49, w1 = 5674.19, w2 = 5554.539, dw = -0.07252, nw = 1651 140727.0027.ec.fits: ap = 50, w1 = 5618.569, w2 = 5500.093, dw = -0.0718, nw = 1651 140727.0027.ec.fits: ap = 51, w1 = 5564.028, w2 = 5446.704, dw = -0.07111, nw = 1651 140727.0027.ec.fits: ap = 52, w1 = 5510.536, w2 = 5394.341, dw = -0.07042, nw = 1651 140727.0027.ec.fits: ap = 53, w1 = 5458.062, w2 = 5342.976, dw = -0.06975, nw = 1651 140727.0027.ec.fits: ap = 54, w1 = 5406.579, w2 = 5292.581, dw = -0.06909, nw = 1651 140727.0027.ec.fits: ap = 55, w1 = 5356.058, w2 = 5243.127, dw = -0.06844, nw = 1651 140727.0027.ec.fits: ap = 56, w1 = 5306.473, w2 = 5194.589, dw = -0.06781, nw = 1651 140727.0027.ec.fits: ap = 57, w1 = 5257.798, w2 = 5146.942, dw = -0.06719, nw = 1651 140727.0027.ec.fits: ap = 58, w1 = 5210.008, w2 = 5100.161, dw = -0.06657, nw = 1651 140727.0027.ec.fits: ap = 59, w1 = 5163.079, w2 = 5054.224, dw = -0.06597, nw = 1651 140727.0027.ec.fits: ap = 60, w1 = 5116.988, w2 = 5009.106, dw = -0.06538, nw = 1651 140727.0027.ec.fits: ap = 61, w1 = 5071.713, w2 = 4964.788, dw = -0.0648, nw = 1651 140727.0027.ec.fits: ap = 62, w1 = 5027.232, w2 = 4921.246, dw = -0.06423, nw = 1651 140727.0027.ec.fits: ap = 63, w1 = 4983.525, w2 = 4878.463, dw = -0.06367, nw = 1651 140727.0027.ec.fits: ap = 64, w1 = 4940.572, w2 = 4836.417, dw = -0.06312, nw = 1651 140727.0027.ec.fits: ap = 65, w1 = 4898.353, w2 = 4795.089, dw = -0.06258, nw = 1651 140727.0027.ec.fits: ap = 66, w1 = 4856.849, w2 = 4754.463, dw = -0.06205, nw = 1651 140727.0027.ec.fits: ap = 67, w1 = 4816.043, w2 = 4714.519, dw = -0.06153, nw = 1651 140727.0027.ec.fits: ap = 68, w1 = 4775.918, w2 = 4675.241, dw = -0.06102, nw = 1651 140727.0027.ec.fits: ap = 69, w1 = 4736.456, w2 = 4636.612, dw = -0.06051, nw = 1651 140727.0027.ec.fits: ap = 70, w1 = 4697.64, w2 = 4598.617, dw = -0.06001, nw = 1651 140727.0027.ec.fits: ap = 71, w1 = 4659.456, w2 = 4561.24, dw = -0.05953, nw = 1651 140727.0027.ec.fits: ap = 72, w1 = 4621.888, w2 = 4524.465, dw = -0.05904, nw = 1651 140727.0027.ec.fits: ap = 73, w1 = 4584.921, w2 = 4488.279, dw = -0.05857, nw = 1651 140727.0027.ec.fits: ap = 74, w1 = 4548.541, w2 = 4452.668, dw = -0.05811, nw = 1651 140727.0027.ec.fits: ap = 75, w1 = 4512.734, w2 = 4417.617, dw = -0.05765, nw = 1651 140727.0027.ec.fits: ap = 76, w1 = 4477.487, w2 = 4383.114, dw = -0.0572, nw = 1651 140727.0027.ec.fits: ap = 77, w1 = 4442.786, w2 = 4349.147, dw = -0.05675, nw = 1651 140727.0027.ec.fits: ap = 78, w1 = 4408.619, w2 = 4315.702, dw = -0.05631, nw = 1651 140727.0027.ec.fits: ap = 79, w1 = 4374.974, w2 = 4282.767, dw = -0.05588, nw = 1651 140727.0027.ec.fits: ap = 80, w1 = 4341.839, w2 = 4250.332, dw = -0.05546, nw = 1651 140727.0027.ec.fits: ap = 81, w1 = 4309.202, w2 = 4218.384, dw = -0.05504, nw = 1651 140727.0027.ec.fits: ap = 82, w1 = 4277.053, w2 = 4186.914, dw = -0.05463, nw = 1651 140727.0027.ec.fits: ap = 83, w1 = 4245.379, w2 = 4155.909, dw = -0.05422, nw = 1651 140727.0027.ec.fits: ap = 84, w1 = 4214.172, w2 = 4125.361, dw = -0.05382, nw = 1651 140727.0027.ec.fits: ap = 85, w1 = 4183.421, w2 = 4095.259, dw = -0.05343, nw = 1651 140727.0027.ec.fits: ap = 86, w1 = 4153.115, w2 = 4065.594, dw = -0.05304, nw = 1651 140727.0027.ec.fits: ap = 87, w1 = 4123.246, w2 = 4036.355, dw = -0.05266, nw = 1651 140727.0027.ec.fits: ap = 88, w1 = 4093.803, w2 = 4007.534, dw = -0.05228, nw = 1651 140727.0027.ec.fits: ap = 89, w1 = 4064.778, w2 = 3979.122, dw = -0.05191, nw = 1651 140727.0027.ec.fits: ap = 90, w1 = 4036.162, w2 = 3951.111, dw = -0.05155, nw = 1651 140727.0027.ec.fits: ap = 91, w1 = 4007.947, w2 = 3923.491, dw = -0.05119, nw = 1651 140727.0027.ec.fits: ap = 92, w1 = 3980.123, w2 = 3896.255, dw = -0.05083, nw = 1651 140727.0027.ec.fits: ap = 93, w1 = 3952.684, w2 = 3869.395, dw = -0.05048, nw = 1651 140727.0027.ec.fits: ap = 94, w1 = 3925.62, w2 = 3842.903, dw = -0.05013, nw = 1651 140727.0027.ec.fits: ap = 95, w1 = 3898.924, w2 = 3816.771, dw = -0.04979, nw = 1651 140727.0027.ec.fits: ap = 96, w1 = 3872.59, w2 = 3790.992, dw = -0.04945, nw = 1651 140727.0027.ec.fits: ap = 97, w1 = 3846.609, w2 = 3765.56, dw = -0.04912, nw = 1651 140727.0027.ec.fits: ap = 98, w1 = 3820.975, w2 = 3740.467, dw = -0.04879, nw = 1651 140727.0027.ec.fits: ap = 99, w1 = 3795.681, w2 = 3715.706, dw = -0.04847, nw = 1651 140727.0027.ec.fits: ap = 100, w1 = 3770.719, w2 = 3691.271, dw = -0.04815, nw = 1651 140727.0027.ec.fits: ap = 101, w1 = 3746.084, w2 = 3667.156, dw = -0.04784, nw = 1651 140727.0027.ec.fits: ap = 102, w1 = 3721.769, w2 = 3643.354, dw = -0.04752, nw = 1651 140727.0027.ec.fits: ap = 103, w1 = 3697.768, w2 = 3619.86, dw = -0.04722, nw = 1651 140727.0027.ec.fits: ap = 104, w1 = 3674.075, w2 = 3596.666, dw = -0.04691, nw = 1651 140727.0027.ec.fits: ap = 105, w1 = 3650.684, w2 = 3573.769, dw = -0.04662, nw = 1651 140727.0027.ec.fits: ap = 106, w1 = 3627.589, w2 = 3551.161, dw = -0.04632, nw = 1651 140727.0027.ec.fits: ap = 107, w1 = 3604.785, w2 = 3528.838, dw = -0.04603, nw = 1651 140727.0027.ec.fits: ap = 108, w1 = 3582.266, w2 = 3506.794, dw = -0.04574, nw = 1651 140727.0027.ec.fits: ap = 109, w1 = 3560.027, w2 = 3485.024, dw = -0.04546, nw = 1651 140727.0027.ec.fits: ap = 110, w1 = 3538.063, w2 = 3463.522, dw = -0.04518, nw = 1651 140727.0027.ec.fits: ap = 111, w1 = 3516.368, w2 = 3442.285, dw = -0.0449, nw = 1651 140727.0027.ec.fits: ap = 112, w1 = 3494.938, w2 = 3421.307, dw = -0.04462, nw = 1651 140727.0027.ec.fits: ap = 113, w1 = 3473.768, w2 = 3400.583, dw = -0.04435, nw = 1651 140727.0027.ec.fits: ap = 114, w1 = 3452.854, w2 = 3380.109, dw = -0.04409, nw = 1651 140727.0027.ec.fits: ap = 115, w1 = 3432.19, w2 = 3359.881, dw = -0.04382, nw = 1651 140727.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 0.26619485' 140727.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.73380518' 140727.0028.ec.fits: ap = 1, w1 = 10812.42, w2 = 10584.23, dw = -0.1383, nw = 1651 140727.0028.ec.fits: ap = 2, w1 = 10612.2, w2 = 10388.24, dw = -0.13573, nw = 1651 140727.0028.ec.fits: ap = 3, w1 = 10419.26, w2 = 10199.38, dw = -0.13326, nw = 1651 140727.0028.ec.fits: ap = 4, w1 = 10233.21, w2 = 10017.27, dw = -0.13088, nw = 1651 140727.0028.ec.fits: ap = 5, w1 = 10053.69, w2 = 9841.541, dw = -0.12858, nw = 1651 140727.0028.ec.fits: ap = 6, w1 = 9880.364, w2 = 9671.876, dw = -0.12636, nw = 1651 140727.0028.ec.fits: ap = 7, w1 = 9712.911, w2 = 9507.961, dw = -0.12421, nw = 1651 140727.0028.ec.fits: ap = 8, w1 = 9551.04, w2 = 9349.511, dw = -0.12214, nw = 1651 140727.0028.ec.fits: ap = 9, w1 = 9394.476, w2 = 9196.255, dw = -0.12013, nw = 1651 140727.0028.ec.fits: ap = 10, w1 = 9242.963, w2 = 9047.943, dw = -0.11819, nw = 1651 140727.0028.ec.fits: ap = 11, w1 = 9096.261, w2 = 8904.339, dw = -0.11632, nw = 1651 140727.0028.ec.fits: ap = 12, w1 = 8954.142, w2 = 8765.223, dw = -0.1145, nw = 1651 140727.0028.ec.fits: ap = 13, w1 = 8816.397, w2 = 8630.387, dw = -0.11273, nw = 1651 140727.0028.ec.fits: ap = 14, w1 = 8682.826, w2 = 8499.637, dw = -0.11102, nw = 1651 140727.0028.ec.fits: ap = 15, w1 = 8553.242, w2 = 8372.79, dw = -0.10936, nw = 1651 140727.0028.ec.fits: ap = 16, w1 = 8427.47, w2 = 8249.674, dw = -0.10776, nw = 1651 140727.0028.ec.fits: ap = 17, w1 = 8305.343, w2 = 8130.126, dw = -0.10619, nw = 1651 140727.0028.ec.fits: ap = 18, w1 = 8186.706, w2 = 8013.994, dw = -0.10467, nw = 1651 140727.0028.ec.fits: ap = 19, w1 = 8071.41, w2 = 7901.133, dw = -0.1032, nw = 1651 140727.0028.ec.fits: ap = 20, w1 = 7959.318, w2 = 7791.407, dw = -0.10176, nw = 1651 140727.0028.ec.fits: ap = 21, w1 = 7850.296, w2 = 7684.687, dw = -0.10037, nw = 1651 140727.0028.ec.fits: ap = 22, w1 = 7744.221, w2 = 7580.852, dw = -0.09901, nw = 1651 140727.0028.ec.fits: ap = 23, w1 = 7640.975, w2 = 7479.785, dw = -0.09769, nw = 1651 140727.0028.ec.fits: ap = 24, w1 = 7540.445, w2 = 7381.378, dw = -0.0964, nw = 1651 140727.0028.ec.fits: ap = 25, w1 = 7442.527, w2 = 7285.527, dw = -0.09515, nw = 1651 140727.0028.ec.fits: ap = 26, w1 = 7347.12, w2 = 7192.134, dw = -0.09393, nw = 1651 140727.0028.ec.fits: ap = 27, w1 = 7254.128, w2 = 7101.106, dw = -0.09274, nw = 1651 140727.0028.ec.fits: ap = 28, w1 = 7163.461, w2 = 7012.353, dw = -0.09158, nw = 1651 140727.0028.ec.fits: ap = 29, w1 = 7075.032, w2 = 6925.791, dw = -0.09045, nw = 1651 140727.0028.ec.fits: ap = 30, w1 = 6988.761, w2 = 6841.341, dw = -0.08935, nw = 1651 140727.0028.ec.fits: ap = 31, w1 = 6904.568, w2 = 6758.926, dw = -0.08827, nw = 1651 140727.0028.ec.fits: ap = 32, w1 = 6822.38, w2 = 6678.473, dw = -0.08722, nw = 1651 140727.0028.ec.fits: ap = 33, w1 = 6742.126, w2 = 6599.913, dw = -0.08619, nw = 1651 140727.0028.ec.fits: ap = 34, w1 = 6663.738, w2 = 6523.18, dw = -0.08519, nw = 1651 140727.0028.ec.fits: ap = 35, w1 = 6587.152, w2 = 6448.211, dw = -0.08421, nw = 1651 140727.0028.ec.fits: ap = 36, w1 = 6512.307, w2 = 6374.947, dw = -0.08325, nw = 1651 140727.0028.ec.fits: ap = 37, w1 = 6439.143, w2 = 6303.328, dw = -0.08231, nw = 1651 140727.0028.ec.fits: ap = 38, w1 = 6367.606, w2 = 6233.301, dw = -0.0814, nw = 1651 140727.0028.ec.fits: ap = 39, w1 = 6297.641, w2 = 6164.814, dw = -0.0805, nw = 1651 140727.0028.ec.fits: ap = 40, w1 = 6229.196, w2 = 6097.815, dw = -0.07963, nw = 1651 140727.0028.ec.fits: ap = 41, w1 = 6162.224, w2 = 6032.257, dw = -0.07877, nw = 1651 140727.0028.ec.fits: ap = 42, w1 = 6096.677, w2 = 5968.094, dw = -0.07793, nw = 1651 140727.0028.ec.fits: ap = 43, w1 = 6032.51, w2 = 5905.282, dw = -0.07711, nw = 1651 140727.0028.ec.fits: ap = 44, w1 = 5969.679, w2 = 5843.779, dw = -0.0763, nw = 1651 140727.0028.ec.fits: ap = 45, w1 = 5908.144, w2 = 5783.543, dw = -0.07552, nw = 1651 140727.0028.ec.fits: ap = 46, w1 = 5847.865, w2 = 5724.538, dw = -0.07474, nw = 1651 140727.0028.ec.fits: ap = 47, w1 = 5788.804, w2 = 5666.724, dw = -0.07399, nw = 1651 140727.0028.ec.fits: ap = 48, w1 = 5730.924, w2 = 5610.067, dw = -0.07325, nw = 1651 140727.0028.ec.fits: ap = 49, w1 = 5674.19, w2 = 5554.531, dw = -0.07252, nw = 1651 140727.0028.ec.fits: ap = 50, w1 = 5618.568, w2 = 5500.085, dw = -0.07181, nw = 1651 140727.0028.ec.fits: ap = 51, w1 = 5564.027, w2 = 5446.696, dw = -0.07111, nw = 1651 140727.0028.ec.fits: ap = 52, w1 = 5510.535, w2 = 5394.334, dw = -0.07042, nw = 1651 140727.0028.ec.fits: ap = 53, w1 = 5458.061, w2 = 5342.969, dw = -0.06975, nw = 1651 140727.0028.ec.fits: ap = 54, w1 = 5406.578, w2 = 5292.574, dw = -0.06909, nw = 1651 140727.0028.ec.fits: ap = 55, w1 = 5356.057, w2 = 5243.12, dw = -0.06845, nw = 1651 140727.0028.ec.fits: ap = 56, w1 = 5306.472, w2 = 5194.583, dw = -0.06781, nw = 1651 140727.0028.ec.fits: ap = 57, w1 = 5257.796, w2 = 5146.936, dw = -0.06719, nw = 1651 140727.0028.ec.fits: ap = 58, w1 = 5210.006, w2 = 5100.156, dw = -0.06658, nw = 1651 140727.0028.ec.fits: ap = 59, w1 = 5163.077, w2 = 5054.218, dw = -0.06597, nw = 1651 140727.0028.ec.fits: ap = 60, w1 = 5116.986, w2 = 5009.101, dw = -0.06538, nw = 1651 140727.0028.ec.fits: ap = 61, w1 = 5071.71, w2 = 4964.783, dw = -0.0648, nw = 1651 140727.0028.ec.fits: ap = 62, w1 = 5027.23, w2 = 4921.242, dw = -0.06423, nw = 1651 140727.0028.ec.fits: ap = 63, w1 = 4983.523, w2 = 4878.459, dw = -0.06368, nw = 1651 140727.0028.ec.fits: ap = 64, w1 = 4940.569, w2 = 4836.413, dw = -0.06312, nw = 1651 140727.0028.ec.fits: ap = 65, w1 = 4898.35, w2 = 4795.086, dw = -0.06258, nw = 1651 140727.0028.ec.fits: ap = 66, w1 = 4856.847, w2 = 4754.46, dw = -0.06205, nw = 1651 140727.0028.ec.fits: ap = 67, w1 = 4816.041, w2 = 4714.517, dw = -0.06153, nw = 1651 140727.0028.ec.fits: ap = 68, w1 = 4775.915, w2 = 4675.239, dw = -0.06102, nw = 1651 140727.0028.ec.fits: ap = 69, w1 = 4736.453, w2 = 4636.611, dw = -0.06051, nw = 1651 140727.0028.ec.fits: ap = 70, w1 = 4697.638, w2 = 4598.616, dw = -0.06001, nw = 1651 140727.0028.ec.fits: ap = 71, w1 = 4659.455, w2 = 4561.239, dw = -0.05952, nw = 1651 140727.0028.ec.fits: ap = 72, w1 = 4621.887, w2 = 4524.465, dw = -0.05904, nw = 1651 140727.0028.ec.fits: ap = 73, w1 = 4584.92, w2 = 4488.28, dw = -0.05857, nw = 1651 140727.0028.ec.fits: ap = 74, w1 = 4548.541, w2 = 4452.669, dw = -0.0581, nw = 1651 140727.0028.ec.fits: ap = 75, w1 = 4512.734, w2 = 4417.618, dw = -0.05765, nw = 1651 140727.0028.ec.fits: ap = 76, w1 = 4477.487, w2 = 4383.116, dw = -0.05719, nw = 1651 140727.0028.ec.fits: ap = 77, w1 = 4442.787, w2 = 4349.149, dw = -0.05675, nw = 1651 140727.0028.ec.fits: ap = 78, w1 = 4408.621, w2 = 4315.704, dw = -0.05631, nw = 1651 140727.0028.ec.fits: ap = 79, w1 = 4374.977, w2 = 4282.77, dw = -0.05588, nw = 1651 140727.0028.ec.fits: ap = 80, w1 = 4341.843, w2 = 4250.335, dw = -0.05546, nw = 1651 140727.0028.ec.fits: ap = 81, w1 = 4309.207, w2 = 4218.388, dw = -0.05504, nw = 1651 140727.0028.ec.fits: ap = 82, w1 = 4277.058, w2 = 4186.918, dw = -0.05463, nw = 1651 140727.0028.ec.fits: ap = 83, w1 = 4245.386, w2 = 4155.914, dw = -0.05423, nw = 1651 140727.0028.ec.fits: ap = 84, w1 = 4214.18, w2 = 4125.366, dw = -0.05383, nw = 1651 140727.0028.ec.fits: ap = 85, w1 = 4183.43, w2 = 4095.264, dw = -0.05343, nw = 1651 140727.0028.ec.fits: ap = 86, w1 = 4153.126, w2 = 4065.599, dw = -0.05305, nw = 1651 140727.0028.ec.fits: ap = 87, w1 = 4123.258, w2 = 4036.36, dw = -0.05267, nw = 1651 140727.0028.ec.fits: ap = 88, w1 = 4093.817, w2 = 4007.54, dw = -0.05229, nw = 1651 140727.0028.ec.fits: ap = 89, w1 = 4064.794, w2 = 3979.128, dw = -0.05192, nw = 1651 140727.0028.ec.fits: ap = 90, w1 = 4036.179, w2 = 3951.116, dw = -0.05155, nw = 1651 140727.0028.ec.fits: ap = 91, w1 = 4007.966, w2 = 3923.497, dw = -0.05119, nw = 1651 140727.0028.ec.fits: ap = 92, w1 = 3980.145, w2 = 3896.26, dw = -0.05084, nw = 1651 140727.0028.ec.fits: ap = 93, w1 = 3952.707, w2 = 3869.4, dw = -0.05049, nw = 1651 140727.0028.ec.fits: ap = 94, w1 = 3925.646, w2 = 3842.908, dw = -0.05014, nw = 1651 140727.0028.ec.fits: ap = 95, w1 = 3898.953, w2 = 3816.776, dw = -0.0498, nw = 1651 140727.0028.ec.fits: ap = 96, w1 = 3872.621, w2 = 3790.997, dw = -0.04947, nw = 1651 140727.0028.ec.fits: ap = 97, w1 = 3846.644, w2 = 3765.565, dw = -0.04914, nw = 1651 140727.0028.ec.fits: ap = 98, w1 = 3821.012, w2 = 3740.471, dw = -0.04881, nw = 1651 140727.0028.ec.fits: ap = 99, w1 = 3795.721, w2 = 3715.711, dw = -0.04849, nw = 1651 140727.0028.ec.fits: ap = 100, w1 = 3770.763, w2 = 3691.276, dw = -0.04817, nw = 1651 140727.0028.ec.fits: ap = 101, w1 = 3746.132, w2 = 3667.16, dw = -0.04786, nw = 1651 140727.0028.ec.fits: ap = 102, w1 = 3721.82, w2 = 3643.358, dw = -0.04755, nw = 1651 140727.0028.ec.fits: ap = 103, w1 = 3697.823, w2 = 3619.862, dw = -0.04725, nw = 1651 140727.0028.ec.fits: ap = 104, w1 = 3674.134, w2 = 3596.669, dw = -0.04695, nw = 1651 140727.0028.ec.fits: ap = 105, w1 = 3650.747, w2 = 3573.77, dw = -0.04665, nw = 1651 140727.0028.ec.fits: ap = 106, w1 = 3627.657, w2 = 3551.162, dw = -0.04636, nw = 1651 140727.0028.ec.fits: ap = 107, w1 = 3604.857, w2 = 3528.838, dw = -0.04607, nw = 1651 140727.0028.ec.fits: ap = 108, w1 = 3582.343, w2 = 3506.793, dw = -0.04579, nw = 1651 140727.0028.ec.fits: ap = 109, w1 = 3560.109, w2 = 3485.022, dw = -0.04551, nw = 1651 140727.0028.ec.fits: ap = 110, w1 = 3538.15, w2 = 3463.52, dw = -0.04523, nw = 1651 140727.0028.ec.fits: ap = 111, w1 = 3516.461, w2 = 3442.281, dw = -0.04496, nw = 1651 140727.0028.ec.fits: ap = 112, w1 = 3495.037, w2 = 3421.302, dw = -0.04469, nw = 1651 140727.0028.ec.fits: ap = 113, w1 = 3473.873, w2 = 3400.577, dw = -0.04442, nw = 1651 140727.0028.ec.fits: ap = 114, w1 = 3452.964, w2 = 3380.102, dw = -0.04416, nw = 1651 140727.0028.ec.fits: ap = 115, w1 = 3432.307, w2 = 3359.872, dw = -0.0439, nw = 1651 140727.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.80652738' 140727.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0033.ec 0.19347259' 140727.0030.ec.fits: ap = 1, w1 = 10812.42, w2 = 10584.23, dw = -0.1383, nw = 1651 140727.0030.ec.fits: ap = 2, w1 = 10612.2, w2 = 10388.24, dw = -0.13573, nw = 1651 140727.0030.ec.fits: ap = 3, w1 = 10419.26, w2 = 10199.38, dw = -0.13326, nw = 1651 140727.0030.ec.fits: ap = 4, w1 = 10233.21, w2 = 10017.27, dw = -0.13088, nw = 1651 140727.0030.ec.fits: ap = 5, w1 = 10053.7, w2 = 9841.546, dw = -0.12858, nw = 1651 140727.0030.ec.fits: ap = 6, w1 = 9880.368, w2 = 9671.881, dw = -0.12636, nw = 1651 140727.0030.ec.fits: ap = 7, w1 = 9712.915, w2 = 9507.968, dw = -0.12421, nw = 1651 140727.0030.ec.fits: ap = 8, w1 = 9551.045, w2 = 9349.518, dw = -0.12214, nw = 1651 140727.0030.ec.fits: ap = 9, w1 = 9394.482, w2 = 9196.262, dw = -0.12013, nw = 1651 140727.0030.ec.fits: ap = 10, w1 = 9242.969, w2 = 9047.951, dw = -0.11819, nw = 1651 140727.0030.ec.fits: ap = 11, w1 = 9096.267, w2 = 8904.347, dw = -0.11632, nw = 1651 140727.0030.ec.fits: ap = 12, w1 = 8954.149, w2 = 8765.231, dw = -0.1145, nw = 1651 140727.0030.ec.fits: ap = 13, w1 = 8816.404, w2 = 8630.395, dw = -0.11273, nw = 1651 140727.0030.ec.fits: ap = 14, w1 = 8682.833, w2 = 8499.645, dw = -0.11102, nw = 1651 140727.0030.ec.fits: ap = 15, w1 = 8553.249, w2 = 8372.798, dw = -0.10936, nw = 1651 140727.0030.ec.fits: ap = 16, w1 = 8427.477, w2 = 8249.682, dw = -0.10775, nw = 1651 140727.0030.ec.fits: ap = 17, w1 = 8305.351, w2 = 8130.134, dw = -0.10619, nw = 1651 140727.0030.ec.fits: ap = 18, w1 = 8186.713, w2 = 8014.001, dw = -0.10467, nw = 1651 140727.0030.ec.fits: ap = 19, w1 = 8071.418, w2 = 7901.14, dw = -0.1032, nw = 1651 140727.0030.ec.fits: ap = 20, w1 = 7959.326, w2 = 7791.414, dw = -0.10176, nw = 1651 140727.0030.ec.fits: ap = 21, w1 = 7850.304, w2 = 7684.694, dw = -0.10037, nw = 1651 140727.0030.ec.fits: ap = 22, w1 = 7744.229, w2 = 7580.859, dw = -0.09901, nw = 1651 140727.0030.ec.fits: ap = 23, w1 = 7640.983, w2 = 7479.792, dw = -0.09769, nw = 1651 140727.0030.ec.fits: ap = 24, w1 = 7540.453, w2 = 7381.385, dw = -0.09641, nw = 1651 140727.0030.ec.fits: ap = 25, w1 = 7442.535, w2 = 7285.534, dw = -0.09515, nw = 1651 140727.0030.ec.fits: ap = 26, w1 = 7347.128, w2 = 7192.14, dw = -0.09393, nw = 1651 140727.0030.ec.fits: ap = 27, w1 = 7254.136, w2 = 7101.111, dw = -0.09274, nw = 1651 140727.0030.ec.fits: ap = 28, w1 = 7163.469, w2 = 7012.358, dw = -0.09158, nw = 1651 140727.0030.ec.fits: ap = 29, w1 = 7075.04, w2 = 6925.797, dw = -0.09045, nw = 1651 140727.0030.ec.fits: ap = 30, w1 = 6988.769, w2 = 6841.346, dw = -0.08935, nw = 1651 140727.0030.ec.fits: ap = 31, w1 = 6904.576, w2 = 6758.931, dw = -0.08827, nw = 1651 140727.0030.ec.fits: ap = 32, w1 = 6822.388, w2 = 6678.478, dw = -0.08722, nw = 1651 140727.0030.ec.fits: ap = 33, w1 = 6742.133, w2 = 6599.918, dw = -0.08619, nw = 1651 140727.0030.ec.fits: ap = 34, w1 = 6663.745, w2 = 6523.184, dw = -0.08519, nw = 1651 140727.0030.ec.fits: ap = 35, w1 = 6587.159, w2 = 6448.216, dw = -0.08421, nw = 1651 140727.0030.ec.fits: ap = 36, w1 = 6512.314, w2 = 6374.95, dw = -0.08325, nw = 1651 140727.0030.ec.fits: ap = 37, w1 = 6439.151, w2 = 6303.332, dw = -0.08231, nw = 1651 140727.0030.ec.fits: ap = 38, w1 = 6367.613, w2 = 6233.305, dw = -0.0814, nw = 1651 140727.0030.ec.fits: ap = 39, w1 = 6297.648, w2 = 6164.817, dw = -0.0805, nw = 1651 140727.0030.ec.fits: ap = 40, w1 = 6229.203, w2 = 6097.818, dw = -0.07963, nw = 1651 140727.0030.ec.fits: ap = 41, w1 = 6162.231, w2 = 6032.26, dw = -0.07877, nw = 1651 140727.0030.ec.fits: ap = 42, w1 = 6096.683, w2 = 5968.097, dw = -0.07793, nw = 1651 140727.0030.ec.fits: ap = 43, w1 = 6032.516, w2 = 5905.285, dw = -0.07711, nw = 1651 140727.0030.ec.fits: ap = 44, w1 = 5969.685, w2 = 5843.782, dw = -0.07631, nw = 1651 140727.0030.ec.fits: ap = 45, w1 = 5908.15, w2 = 5783.546, dw = -0.07552, nw = 1651 140727.0030.ec.fits: ap = 46, w1 = 5847.871, w2 = 5724.54, dw = -0.07475, nw = 1651 140727.0030.ec.fits: ap = 47, w1 = 5788.81, w2 = 5666.727, dw = -0.07399, nw = 1651 140727.0030.ec.fits: ap = 48, w1 = 5730.929, w2 = 5610.069, dw = -0.07325, nw = 1651 140727.0030.ec.fits: ap = 49, w1 = 5674.195, w2 = 5554.534, dw = -0.07252, nw = 1651 140727.0030.ec.fits: ap = 50, w1 = 5618.574, w2 = 5500.088, dw = -0.07181, nw = 1651 140727.0030.ec.fits: ap = 51, w1 = 5564.032, w2 = 5446.699, dw = -0.07111, nw = 1651 140727.0030.ec.fits: ap = 52, w1 = 5510.54, w2 = 5394.337, dw = -0.07043, nw = 1651 140727.0030.ec.fits: ap = 53, w1 = 5458.066, w2 = 5342.972, dw = -0.06975, nw = 1651 140727.0030.ec.fits: ap = 54, w1 = 5406.583, w2 = 5292.577, dw = -0.06909, nw = 1651 140727.0030.ec.fits: ap = 55, w1 = 5356.062, w2 = 5243.123, dw = -0.06845, nw = 1651 140727.0030.ec.fits: ap = 56, w1 = 5306.476, w2 = 5194.586, dw = -0.06781, nw = 1651 140727.0030.ec.fits: ap = 57, w1 = 5257.801, w2 = 5146.939, dw = -0.06719, nw = 1651 140727.0030.ec.fits: ap = 58, w1 = 5210.01, w2 = 5100.159, dw = -0.06658, nw = 1651 140727.0030.ec.fits: ap = 59, w1 = 5163.081, w2 = 5054.222, dw = -0.06598, nw = 1651 140727.0030.ec.fits: ap = 60, w1 = 5116.99, w2 = 5009.105, dw = -0.06538, nw = 1651 140727.0030.ec.fits: ap = 61, w1 = 5071.715, w2 = 4964.787, dw = -0.0648, nw = 1651 140727.0030.ec.fits: ap = 62, w1 = 5027.234, w2 = 4921.246, dw = -0.06423, nw = 1651 140727.0030.ec.fits: ap = 63, w1 = 4983.527, w2 = 4878.463, dw = -0.06368, nw = 1651 140727.0030.ec.fits: ap = 64, w1 = 4940.573, w2 = 4836.418, dw = -0.06312, nw = 1651 140727.0030.ec.fits: ap = 65, w1 = 4898.354, w2 = 4795.091, dw = -0.06258, nw = 1651 140727.0030.ec.fits: ap = 66, w1 = 4856.851, w2 = 4754.465, dw = -0.06205, nw = 1651 140727.0030.ec.fits: ap = 67, w1 = 4816.045, w2 = 4714.522, dw = -0.06153, nw = 1651 140727.0030.ec.fits: ap = 68, w1 = 4775.92, w2 = 4675.244, dw = -0.06102, nw = 1651 140727.0030.ec.fits: ap = 69, w1 = 4736.458, w2 = 4636.616, dw = -0.06051, nw = 1651 140727.0030.ec.fits: ap = 70, w1 = 4697.643, w2 = 4598.622, dw = -0.06001, nw = 1651 140727.0030.ec.fits: ap = 71, w1 = 4659.459, w2 = 4561.245, dw = -0.05952, nw = 1651 140727.0030.ec.fits: ap = 72, w1 = 4621.892, w2 = 4524.471, dw = -0.05904, nw = 1651 140727.0030.ec.fits: ap = 73, w1 = 4584.926, w2 = 4488.286, dw = -0.05857, nw = 1651 140727.0030.ec.fits: ap = 74, w1 = 4548.546, w2 = 4452.675, dw = -0.0581, nw = 1651 140727.0030.ec.fits: ap = 75, w1 = 4512.74, w2 = 4417.625, dw = -0.05765, nw = 1651 140727.0030.ec.fits: ap = 76, w1 = 4477.493, w2 = 4383.123, dw = -0.05719, nw = 1651 140727.0030.ec.fits: ap = 77, w1 = 4442.793, w2 = 4349.156, dw = -0.05675, nw = 1651 140727.0030.ec.fits: ap = 78, w1 = 4408.628, w2 = 4315.711, dw = -0.05631, nw = 1651 140727.0030.ec.fits: ap = 79, w1 = 4374.984, w2 = 4282.777, dw = -0.05588, nw = 1651 140727.0030.ec.fits: ap = 80, w1 = 4341.85, w2 = 4250.343, dw = -0.05546, nw = 1651 140727.0030.ec.fits: ap = 81, w1 = 4309.214, w2 = 4218.396, dw = -0.05504, nw = 1651 140727.0030.ec.fits: ap = 82, w1 = 4277.066, w2 = 4186.926, dw = -0.05463, nw = 1651 140727.0030.ec.fits: ap = 83, w1 = 4245.395, w2 = 4155.922, dw = -0.05423, nw = 1651 140727.0030.ec.fits: ap = 84, w1 = 4214.189, w2 = 4125.374, dw = -0.05383, nw = 1651 140727.0030.ec.fits: ap = 85, w1 = 4183.439, w2 = 4095.272, dw = -0.05343, nw = 1651 140727.0030.ec.fits: ap = 86, w1 = 4153.136, w2 = 4065.607, dw = -0.05305, nw = 1651 140727.0030.ec.fits: ap = 87, w1 = 4123.268, w2 = 4036.369, dw = -0.05267, nw = 1651 140727.0030.ec.fits: ap = 88, w1 = 4093.828, w2 = 4007.548, dw = -0.05229, nw = 1651 140727.0030.ec.fits: ap = 89, w1 = 4064.805, w2 = 3979.136, dw = -0.05192, nw = 1651 140727.0030.ec.fits: ap = 90, w1 = 4036.192, w2 = 3951.124, dw = -0.05156, nw = 1651 140727.0030.ec.fits: ap = 91, w1 = 4007.979, w2 = 3923.505, dw = -0.0512, nw = 1651 140727.0030.ec.fits: ap = 92, w1 = 3980.158, w2 = 3896.268, dw = -0.05084, nw = 1651 140727.0030.ec.fits: ap = 93, w1 = 3952.722, w2 = 3869.408, dw = -0.05049, nw = 1651 140727.0030.ec.fits: ap = 94, w1 = 3925.661, w2 = 3842.916, dw = -0.05015, nw = 1651 140727.0030.ec.fits: ap = 95, w1 = 3898.97, w2 = 3816.784, dw = -0.04981, nw = 1651 140727.0030.ec.fits: ap = 96, w1 = 3872.639, w2 = 3791.005, dw = -0.04948, nw = 1651 140727.0030.ec.fits: ap = 97, w1 = 3846.662, w2 = 3765.572, dw = -0.04915, nw = 1651 140727.0030.ec.fits: ap = 98, w1 = 3821.032, w2 = 3740.479, dw = -0.04882, nw = 1651 140727.0030.ec.fits: ap = 99, w1 = 3795.741, w2 = 3715.717, dw = -0.0485, nw = 1651 140727.0030.ec.fits: ap = 100, w1 = 3770.784, w2 = 3691.282, dw = -0.04818, nw = 1651 140727.0030.ec.fits: ap = 101, w1 = 3746.154, w2 = 3667.166, dw = -0.04787, nw = 1651 140727.0030.ec.fits: ap = 102, w1 = 3721.844, w2 = 3643.363, dw = -0.04756, nw = 1651 140727.0030.ec.fits: ap = 103, w1 = 3697.848, w2 = 3619.868, dw = -0.04726, nw = 1651 140727.0030.ec.fits: ap = 104, w1 = 3674.16, w2 = 3596.674, dw = -0.04696, nw = 1651 140727.0030.ec.fits: ap = 105, w1 = 3650.775, w2 = 3573.775, dw = -0.04667, nw = 1651 140727.0030.ec.fits: ap = 106, w1 = 3627.685, w2 = 3551.166, dw = -0.04638, nw = 1651 140727.0030.ec.fits: ap = 107, w1 = 3604.887, w2 = 3528.841, dw = -0.04609, nw = 1651 140727.0030.ec.fits: ap = 108, w1 = 3582.375, w2 = 3506.795, dw = -0.04581, nw = 1651 140727.0030.ec.fits: ap = 109, w1 = 3560.142, w2 = 3485.024, dw = -0.04553, nw = 1651 140727.0030.ec.fits: ap = 110, w1 = 3538.185, w2 = 3463.521, dw = -0.04525, nw = 1651 140727.0030.ec.fits: ap = 111, w1 = 3516.497, w2 = 3442.281, dw = -0.04498, nw = 1651 140727.0030.ec.fits: ap = 112, w1 = 3495.074, w2 = 3421.301, dw = -0.04471, nw = 1651 140727.0030.ec.fits: ap = 113, w1 = 3473.912, w2 = 3400.575, dw = -0.04445, nw = 1651 140727.0030.ec.fits: ap = 114, w1 = 3453.005, w2 = 3380.099, dw = -0.04419, nw = 1651 140727.0030.ec.fits: ap = 115, w1 = 3432.35, w2 = 3359.868, dw = -0.04393, nw = 1651 140727.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.50045776' 140727.0031.ec.fits: REFSPEC2 = 'EchelleThAr.0033.ec 0.49954221' 140727.0031.ec.fits: ap = 1, w1 = 10812.41, w2 = 10584.25, dw = -0.13828, nw = 1651 140727.0031.ec.fits: ap = 2, w1 = 10612.2, w2 = 10388.26, dw = -0.13572, nw = 1651 140727.0031.ec.fits: ap = 3, w1 = 10419.26, w2 = 10199.4, dw = -0.13325, nw = 1651 140727.0031.ec.fits: ap = 4, w1 = 10233.22, w2 = 10017.29, dw = -0.13087, nw = 1651 140727.0031.ec.fits: ap = 5, w1 = 10053.7, w2 = 9841.565, dw = -0.12857, nw = 1651 140727.0031.ec.fits: ap = 6, w1 = 9880.376, w2 = 9671.9, dw = -0.12635, nw = 1651 140727.0031.ec.fits: ap = 7, w1 = 9712.926, w2 = 9507.987, dw = -0.12421, nw = 1651 140727.0031.ec.fits: ap = 8, w1 = 9551.057, w2 = 9349.536, dw = -0.12213, nw = 1651 140727.0031.ec.fits: ap = 9, w1 = 9394.495, w2 = 9196.281, dw = -0.12013, nw = 1651 140727.0031.ec.fits: ap = 10, w1 = 9242.983, w2 = 9047.969, dw = -0.11819, nw = 1651 140727.0031.ec.fits: ap = 11, w1 = 9096.281, w2 = 8904.366, dw = -0.11631, nw = 1651 140727.0031.ec.fits: ap = 12, w1 = 8954.164, w2 = 8765.249, dw = -0.11449, nw = 1651 140727.0031.ec.fits: ap = 13, w1 = 8816.419, w2 = 8630.413, dw = -0.11273, nw = 1651 140727.0031.ec.fits: ap = 14, w1 = 8682.849, w2 = 8499.663, dw = -0.11102, nw = 1651 140727.0031.ec.fits: ap = 15, w1 = 8553.266, w2 = 8372.816, dw = -0.10936, nw = 1651 140727.0031.ec.fits: ap = 16, w1 = 8427.494, w2 = 8249.699, dw = -0.10775, nw = 1651 140727.0031.ec.fits: ap = 17, w1 = 8305.367, w2 = 8130.151, dw = -0.10619, nw = 1651 140727.0031.ec.fits: ap = 18, w1 = 8186.73, w2 = 8014.019, dw = -0.10467, nw = 1651 140727.0031.ec.fits: ap = 19, w1 = 8071.435, w2 = 7901.157, dw = -0.1032, nw = 1651 140727.0031.ec.fits: ap = 20, w1 = 7959.342, w2 = 7791.431, dw = -0.10176, nw = 1651 140727.0031.ec.fits: ap = 21, w1 = 7850.32, w2 = 7684.711, dw = -0.10037, nw = 1651 140727.0031.ec.fits: ap = 22, w1 = 7744.245, w2 = 7580.875, dw = -0.09901, nw = 1651 140727.0031.ec.fits: ap = 23, w1 = 7640.999, w2 = 7479.808, dw = -0.09769, nw = 1651 140727.0031.ec.fits: ap = 24, w1 = 7540.469, w2 = 7381.401, dw = -0.09641, nw = 1651 140727.0031.ec.fits: ap = 25, w1 = 7442.551, w2 = 7285.55, dw = -0.09515, nw = 1651 140727.0031.ec.fits: ap = 26, w1 = 7347.143, w2 = 7192.156, dw = -0.09393, nw = 1651 140727.0031.ec.fits: ap = 27, w1 = 7254.151, w2 = 7101.127, dw = -0.09274, nw = 1651 140727.0031.ec.fits: ap = 28, w1 = 7163.483, w2 = 7012.374, dw = -0.09158, nw = 1651 140727.0031.ec.fits: ap = 29, w1 = 7075.055, w2 = 6925.812, dw = -0.09045, nw = 1651 140727.0031.ec.fits: ap = 30, w1 = 6988.783, w2 = 6841.361, dw = -0.08935, nw = 1651 140727.0031.ec.fits: ap = 31, w1 = 6904.589, w2 = 6758.945, dw = -0.08827, nw = 1651 140727.0031.ec.fits: ap = 32, w1 = 6822.401, w2 = 6678.492, dw = -0.08722, nw = 1651 140727.0031.ec.fits: ap = 33, w1 = 6742.146, w2 = 6599.932, dw = -0.08619, nw = 1651 140727.0031.ec.fits: ap = 34, w1 = 6663.758, w2 = 6523.199, dw = -0.08519, nw = 1651 140727.0031.ec.fits: ap = 35, w1 = 6587.171, w2 = 6448.229, dw = -0.08421, nw = 1651 140727.0031.ec.fits: ap = 36, w1 = 6512.326, w2 = 6374.964, dw = -0.08325, nw = 1651 140727.0031.ec.fits: ap = 37, w1 = 6439.162, w2 = 6303.345, dw = -0.08231, nw = 1651 140727.0031.ec.fits: ap = 38, w1 = 6367.624, w2 = 6233.318, dw = -0.0814, nw = 1651 140727.0031.ec.fits: ap = 39, w1 = 6297.659, w2 = 6164.83, dw = -0.0805, nw = 1651 140727.0031.ec.fits: ap = 40, w1 = 6229.214, w2 = 6097.831, dw = -0.07963, nw = 1651 140727.0031.ec.fits: ap = 41, w1 = 6162.241, w2 = 6032.273, dw = -0.07877, nw = 1651 140727.0031.ec.fits: ap = 42, w1 = 6096.694, w2 = 5968.11, dw = -0.07793, nw = 1651 140727.0031.ec.fits: ap = 43, w1 = 6032.526, w2 = 5905.298, dw = -0.07711, nw = 1651 140727.0031.ec.fits: ap = 44, w1 = 5969.695, w2 = 5843.794, dw = -0.0763, nw = 1651 140727.0031.ec.fits: ap = 45, w1 = 5908.16, w2 = 5783.559, dw = -0.07552, nw = 1651 140727.0031.ec.fits: ap = 46, w1 = 5847.88, w2 = 5724.553, dw = -0.07474, nw = 1651 140727.0031.ec.fits: ap = 47, w1 = 5788.819, w2 = 5666.739, dw = -0.07399, nw = 1651 140727.0031.ec.fits: ap = 48, w1 = 5730.939, w2 = 5610.081, dw = -0.07325, nw = 1651 140727.0031.ec.fits: ap = 49, w1 = 5674.204, w2 = 5554.546, dw = -0.07252, nw = 1651 140727.0031.ec.fits: ap = 50, w1 = 5618.583, w2 = 5500.099, dw = -0.07181, nw = 1651 140727.0031.ec.fits: ap = 51, w1 = 5564.041, w2 = 5446.71, dw = -0.07111, nw = 1651 140727.0031.ec.fits: ap = 52, w1 = 5510.549, w2 = 5394.348, dw = -0.07042, nw = 1651 140727.0031.ec.fits: ap = 53, w1 = 5458.075, w2 = 5342.983, dw = -0.06975, nw = 1651 140727.0031.ec.fits: ap = 54, w1 = 5406.592, w2 = 5292.588, dw = -0.06909, nw = 1651 140727.0031.ec.fits: ap = 55, w1 = 5356.071, w2 = 5243.134, dw = -0.06845, nw = 1651 140727.0031.ec.fits: ap = 56, w1 = 5306.485, w2 = 5194.597, dw = -0.06781, nw = 1651 140727.0031.ec.fits: ap = 57, w1 = 5257.81, w2 = 5146.95, dw = -0.06719, nw = 1651 140727.0031.ec.fits: ap = 58, w1 = 5210.019, w2 = 5100.17, dw = -0.06658, nw = 1651 140727.0031.ec.fits: ap = 59, w1 = 5163.09, w2 = 5054.233, dw = -0.06597, nw = 1651 140727.0031.ec.fits: ap = 60, w1 = 5116.999, w2 = 5009.116, dw = -0.06538, nw = 1651 140727.0031.ec.fits: ap = 61, w1 = 5071.724, w2 = 4964.797, dw = -0.0648, nw = 1651 140727.0031.ec.fits: ap = 62, w1 = 5027.243, w2 = 4921.257, dw = -0.06423, nw = 1651 140727.0031.ec.fits: ap = 63, w1 = 4983.536, w2 = 4878.473, dw = -0.06367, nw = 1651 140727.0031.ec.fits: ap = 64, w1 = 4940.583, w2 = 4836.428, dw = -0.06312, nw = 1651 140727.0031.ec.fits: ap = 65, w1 = 4898.364, w2 = 4795.101, dw = -0.06258, nw = 1651 140727.0031.ec.fits: ap = 66, w1 = 4856.86, w2 = 4754.475, dw = -0.06205, nw = 1651 140727.0031.ec.fits: ap = 67, w1 = 4816.055, w2 = 4714.532, dw = -0.06153, nw = 1651 140727.0031.ec.fits: ap = 68, w1 = 4775.929, w2 = 4675.254, dw = -0.06102, nw = 1651 140727.0031.ec.fits: ap = 69, w1 = 4736.467, w2 = 4636.626, dw = -0.06051, nw = 1651 140727.0031.ec.fits: ap = 70, w1 = 4697.652, w2 = 4598.632, dw = -0.06001, nw = 1651 140727.0031.ec.fits: ap = 71, w1 = 4659.469, w2 = 4561.255, dw = -0.05952, nw = 1651 140727.0031.ec.fits: ap = 72, w1 = 4621.901, w2 = 4524.481, dw = -0.05904, nw = 1651 140727.0031.ec.fits: ap = 73, w1 = 4584.935, w2 = 4488.296, dw = -0.05857, nw = 1651 140727.0031.ec.fits: ap = 74, w1 = 4548.555, w2 = 4452.685, dw = -0.0581, nw = 1651 140727.0031.ec.fits: ap = 75, w1 = 4512.749, w2 = 4417.635, dw = -0.05765, nw = 1651 140727.0031.ec.fits: ap = 76, w1 = 4477.502, w2 = 4383.132, dw = -0.05719, nw = 1651 140727.0031.ec.fits: ap = 77, w1 = 4442.802, w2 = 4349.165, dw = -0.05675, nw = 1651 140727.0031.ec.fits: ap = 78, w1 = 4408.636, w2 = 4315.72, dw = -0.05631, nw = 1651 140727.0031.ec.fits: ap = 79, w1 = 4374.992, w2 = 4282.787, dw = -0.05588, nw = 1651 140727.0031.ec.fits: ap = 80, w1 = 4341.858, w2 = 4250.352, dw = -0.05546, nw = 1651 140727.0031.ec.fits: ap = 81, w1 = 4309.222, w2 = 4218.405, dw = -0.05504, nw = 1651 140727.0031.ec.fits: ap = 82, w1 = 4277.074, w2 = 4186.935, dw = -0.05463, nw = 1651 140727.0031.ec.fits: ap = 83, w1 = 4245.402, w2 = 4155.931, dw = -0.05423, nw = 1651 140727.0031.ec.fits: ap = 84, w1 = 4214.196, w2 = 4125.383, dw = -0.05383, nw = 1651 140727.0031.ec.fits: ap = 85, w1 = 4183.446, w2 = 4095.281, dw = -0.05343, nw = 1651 140727.0031.ec.fits: ap = 86, w1 = 4153.142, w2 = 4065.616, dw = -0.05305, nw = 1651 140727.0031.ec.fits: ap = 87, w1 = 4123.274, w2 = 4036.377, dw = -0.05266, nw = 1651 140727.0031.ec.fits: ap = 88, w1 = 4093.833, w2 = 4007.556, dw = -0.05229, nw = 1651 140727.0031.ec.fits: ap = 89, w1 = 4064.81, w2 = 3979.144, dw = -0.05192, nw = 1651 140727.0031.ec.fits: ap = 90, w1 = 4036.196, w2 = 3951.133, dw = -0.05155, nw = 1651 140727.0031.ec.fits: ap = 91, w1 = 4007.983, w2 = 3923.513, dw = -0.05119, nw = 1651 140727.0031.ec.fits: ap = 92, w1 = 3980.161, w2 = 3896.276, dw = -0.05084, nw = 1651 140727.0031.ec.fits: ap = 93, w1 = 3952.724, w2 = 3869.416, dw = -0.05049, nw = 1651 140727.0031.ec.fits: ap = 94, w1 = 3925.662, w2 = 3842.923, dw = -0.05014, nw = 1651 140727.0031.ec.fits: ap = 95, w1 = 3898.97, w2 = 3816.791, dw = -0.04981, nw = 1651 140727.0031.ec.fits: ap = 96, w1 = 3872.638, w2 = 3791.012, dw = -0.04947, nw = 1651 140727.0031.ec.fits: ap = 97, w1 = 3846.66, w2 = 3765.579, dw = -0.04914, nw = 1651 140727.0031.ec.fits: ap = 98, w1 = 3821.029, w2 = 3740.486, dw = -0.04881, nw = 1651 140727.0031.ec.fits: ap = 99, w1 = 3795.737, w2 = 3715.724, dw = -0.04849, nw = 1651 140727.0031.ec.fits: ap = 100, w1 = 3770.779, w2 = 3691.289, dw = -0.04818, nw = 1651 140727.0031.ec.fits: ap = 101, w1 = 3746.147, w2 = 3667.173, dw = -0.04786, nw = 1651 140727.0031.ec.fits: ap = 102, w1 = 3721.835, w2 = 3643.37, dw = -0.04755, nw = 1651 140727.0031.ec.fits: ap = 103, w1 = 3697.838, w2 = 3619.874, dw = -0.04725, nw = 1651 140727.0031.ec.fits: ap = 104, w1 = 3674.148, w2 = 3596.679, dw = -0.04695, nw = 1651 140727.0031.ec.fits: ap = 105, w1 = 3650.761, w2 = 3573.78, dw = -0.04665, nw = 1651 140727.0031.ec.fits: ap = 106, w1 = 3627.67, w2 = 3551.171, dw = -0.04636, nw = 1651 140727.0031.ec.fits: ap = 107, w1 = 3604.87, w2 = 3528.846, dw = -0.04607, nw = 1651 140727.0031.ec.fits: ap = 108, w1 = 3582.355, w2 = 3506.8, dw = -0.04579, nw = 1651 140727.0031.ec.fits: ap = 109, w1 = 3560.12, w2 = 3485.028, dw = -0.04551, nw = 1651 140727.0031.ec.fits: ap = 110, w1 = 3538.16, w2 = 3463.525, dw = -0.04523, nw = 1651 140727.0031.ec.fits: ap = 111, w1 = 3516.47, w2 = 3442.286, dw = -0.04496, nw = 1651 140727.0031.ec.fits: ap = 112, w1 = 3495.045, w2 = 3421.305, dw = -0.04469, nw = 1651 140727.0031.ec.fits: ap = 113, w1 = 3473.88, w2 = 3400.579, dw = -0.04443, nw = 1651 140727.0031.ec.fits: ap = 114, w1 = 3452.971, w2 = 3380.102, dw = -0.04416, nw = 1651 140727.0031.ec.fits: ap = 115, w1 = 3432.312, w2 = 3359.871, dw = -0.0439, nw = 1651 140727.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.22216451' 140727.0032.ec.fits: REFSPEC2 = 'EchelleThAr.0033.ec 0.77783549' 140727.0032.ec.fits: ap = 1, w1 = 10812.41, w2 = 10584.26, dw = -0.13827, nw = 1651 140727.0032.ec.fits: ap = 2, w1 = 10612.2, w2 = 10388.28, dw = -0.13571, nw = 1651 140727.0032.ec.fits: ap = 3, w1 = 10419.27, w2 = 10199.42, dw = -0.13324, nw = 1651 140727.0032.ec.fits: ap = 4, w1 = 10233.22, w2 = 10017.31, dw = -0.13086, nw = 1651 140727.0032.ec.fits: ap = 5, w1 = 10053.71, w2 = 9841.582, dw = -0.12856, nw = 1651 140727.0032.ec.fits: ap = 6, w1 = 9880.384, w2 = 9671.918, dw = -0.12634, nw = 1651 140727.0032.ec.fits: ap = 7, w1 = 9712.935, w2 = 9508.004, dw = -0.1242, nw = 1651 140727.0032.ec.fits: ap = 8, w1 = 9551.067, w2 = 9349.554, dw = -0.12213, nw = 1651 140727.0032.ec.fits: ap = 9, w1 = 9394.506, w2 = 9196.298, dw = -0.12013, nw = 1651 140727.0032.ec.fits: ap = 10, w1 = 9242.995, w2 = 9047.986, dw = -0.11819, nw = 1651 140727.0032.ec.fits: ap = 11, w1 = 9096.294, w2 = 8904.382, dw = -0.11631, nw = 1651 140727.0032.ec.fits: ap = 12, w1 = 8954.178, w2 = 8765.266, dw = -0.11449, nw = 1651 140727.0032.ec.fits: ap = 13, w1 = 8816.434, w2 = 8630.43, dw = -0.11273, nw = 1651 140727.0032.ec.fits: ap = 14, w1 = 8682.864, w2 = 8499.68, dw = -0.11102, nw = 1651 140727.0032.ec.fits: ap = 15, w1 = 8553.281, w2 = 8372.832, dw = -0.10936, nw = 1651 140727.0032.ec.fits: ap = 16, w1 = 8427.509, w2 = 8249.715, dw = -0.10775, nw = 1651 140727.0032.ec.fits: ap = 17, w1 = 8305.382, w2 = 8130.167, dw = -0.10619, nw = 1651 140727.0032.ec.fits: ap = 18, w1 = 8186.745, w2 = 8014.034, dw = -0.10467, nw = 1651 140727.0032.ec.fits: ap = 19, w1 = 8071.45, w2 = 7901.173, dw = -0.1032, nw = 1651 140727.0032.ec.fits: ap = 20, w1 = 7959.357, w2 = 7791.446, dw = -0.10176, nw = 1651 140727.0032.ec.fits: ap = 21, w1 = 7850.335, w2 = 7684.726, dw = -0.10037, nw = 1651 140727.0032.ec.fits: ap = 22, w1 = 7744.26, w2 = 7580.89, dw = -0.09901, nw = 1651 140727.0032.ec.fits: ap = 23, w1 = 7641.013, w2 = 7479.823, dw = -0.09769, nw = 1651 140727.0032.ec.fits: ap = 24, w1 = 7540.483, w2 = 7381.416, dw = -0.0964, nw = 1651 140727.0032.ec.fits: ap = 25, w1 = 7442.565, w2 = 7285.564, dw = -0.09515, nw = 1651 140727.0032.ec.fits: ap = 26, w1 = 7347.157, w2 = 7192.17, dw = -0.09393, nw = 1651 140727.0032.ec.fits: ap = 27, w1 = 7254.164, w2 = 7101.141, dw = -0.09274, nw = 1651 140727.0032.ec.fits: ap = 28, w1 = 7163.496, w2 = 7012.387, dw = -0.09158, nw = 1651 140727.0032.ec.fits: ap = 29, w1 = 7075.067, w2 = 6925.825, dw = -0.09045, nw = 1651 140727.0032.ec.fits: ap = 30, w1 = 6988.795, w2 = 6841.374, dw = -0.08935, nw = 1651 140727.0032.ec.fits: ap = 31, w1 = 6904.602, w2 = 6758.959, dw = -0.08827, nw = 1651 140727.0032.ec.fits: ap = 32, w1 = 6822.413, w2 = 6678.505, dw = -0.08722, nw = 1651 140727.0032.ec.fits: ap = 33, w1 = 6742.158, w2 = 6599.945, dw = -0.08619, nw = 1651 140727.0032.ec.fits: ap = 34, w1 = 6663.769, w2 = 6523.211, dw = -0.08519, nw = 1651 140727.0032.ec.fits: ap = 35, w1 = 6587.182, w2 = 6448.242, dw = -0.08421, nw = 1651 140727.0032.ec.fits: ap = 36, w1 = 6512.336, w2 = 6374.977, dw = -0.08325, nw = 1651 140727.0032.ec.fits: ap = 37, w1 = 6439.172, w2 = 6303.358, dw = -0.08231, nw = 1651 140727.0032.ec.fits: ap = 38, w1 = 6367.634, w2 = 6233.33, dw = -0.0814, nw = 1651 140727.0032.ec.fits: ap = 39, w1 = 6297.668, w2 = 6164.842, dw = -0.0805, nw = 1651 140727.0032.ec.fits: ap = 40, w1 = 6229.224, w2 = 6097.843, dw = -0.07962, nw = 1651 140727.0032.ec.fits: ap = 41, w1 = 6162.251, w2 = 6032.285, dw = -0.07877, nw = 1651 140727.0032.ec.fits: ap = 42, w1 = 6096.703, w2 = 5968.121, dw = -0.07793, nw = 1651 140727.0032.ec.fits: ap = 43, w1 = 6032.535, w2 = 5905.309, dw = -0.07711, nw = 1651 140727.0032.ec.fits: ap = 44, w1 = 5969.704, w2 = 5843.805, dw = -0.0763, nw = 1651 140727.0032.ec.fits: ap = 45, w1 = 5908.169, w2 = 5783.57, dw = -0.07551, nw = 1651 140727.0032.ec.fits: ap = 46, w1 = 5847.889, w2 = 5724.564, dw = -0.07474, nw = 1651 140727.0032.ec.fits: ap = 47, w1 = 5788.827, w2 = 5666.75, dw = -0.07399, nw = 1651 140727.0032.ec.fits: ap = 48, w1 = 5730.947, w2 = 5610.092, dw = -0.07325, nw = 1651 140727.0032.ec.fits: ap = 49, w1 = 5674.213, w2 = 5554.556, dw = -0.07252, nw = 1651 140727.0032.ec.fits: ap = 50, w1 = 5618.591, w2 = 5500.11, dw = -0.07181, nw = 1651 140727.0032.ec.fits: ap = 51, w1 = 5564.049, w2 = 5446.721, dw = -0.07111, nw = 1651 140727.0032.ec.fits: ap = 52, w1 = 5510.557, w2 = 5394.358, dw = -0.07042, nw = 1651 140727.0032.ec.fits: ap = 53, w1 = 5458.083, w2 = 5342.994, dw = -0.06975, nw = 1651 140727.0032.ec.fits: ap = 54, w1 = 5406.6, w2 = 5292.598, dw = -0.06909, nw = 1651 140727.0032.ec.fits: ap = 55, w1 = 5356.079, w2 = 5243.145, dw = -0.06844, nw = 1651 140727.0032.ec.fits: ap = 56, w1 = 5306.493, w2 = 5194.607, dw = -0.06781, nw = 1651 140727.0032.ec.fits: ap = 57, w1 = 5257.818, w2 = 5146.96, dw = -0.06719, nw = 1651 140727.0032.ec.fits: ap = 58, w1 = 5210.027, w2 = 5100.18, dw = -0.06657, nw = 1651 140727.0032.ec.fits: ap = 59, w1 = 5163.098, w2 = 5054.242, dw = -0.06597, nw = 1651 140727.0032.ec.fits: ap = 60, w1 = 5117.007, w2 = 5009.125, dw = -0.06538, nw = 1651 140727.0032.ec.fits: ap = 61, w1 = 5071.732, w2 = 4964.807, dw = -0.0648, nw = 1651 140727.0032.ec.fits: ap = 62, w1 = 5027.251, w2 = 4921.266, dw = -0.06423, nw = 1651 140727.0032.ec.fits: ap = 63, w1 = 4983.544, w2 = 4878.483, dw = -0.06367, nw = 1651 140727.0032.ec.fits: ap = 64, w1 = 4940.591, w2 = 4836.437, dw = -0.06312, nw = 1651 140727.0032.ec.fits: ap = 65, w1 = 4898.372, w2 = 4795.11, dw = -0.06258, nw = 1651 140727.0032.ec.fits: ap = 66, w1 = 4856.869, w2 = 4754.484, dw = -0.06205, nw = 1651 140727.0032.ec.fits: ap = 67, w1 = 4816.063, w2 = 4714.541, dw = -0.06153, nw = 1651 140727.0032.ec.fits: ap = 68, w1 = 4775.938, w2 = 4675.263, dw = -0.06101, nw = 1651 140727.0032.ec.fits: ap = 69, w1 = 4736.476, w2 = 4636.635, dw = -0.06051, nw = 1651 140727.0032.ec.fits: ap = 70, w1 = 4697.661, w2 = 4598.641, dw = -0.06001, nw = 1651 140727.0032.ec.fits: ap = 71, w1 = 4659.477, w2 = 4561.264, dw = -0.05952, nw = 1651 140727.0032.ec.fits: ap = 72, w1 = 4621.91, w2 = 4524.49, dw = -0.05904, nw = 1651 140727.0032.ec.fits: ap = 73, w1 = 4584.943, w2 = 4488.304, dw = -0.05857, nw = 1651 140727.0032.ec.fits: ap = 74, w1 = 4548.564, w2 = 4452.693, dw = -0.0581, nw = 1651 140727.0032.ec.fits: ap = 75, w1 = 4512.757, w2 = 4417.643, dw = -0.05764, nw = 1651 140727.0032.ec.fits: ap = 76, w1 = 4477.511, w2 = 4383.141, dw = -0.05719, nw = 1651 140727.0032.ec.fits: ap = 77, w1 = 4442.81, w2 = 4349.174, dw = -0.05675, nw = 1651 140727.0032.ec.fits: ap = 78, w1 = 4408.644, w2 = 4315.729, dw = -0.05631, nw = 1651 140727.0032.ec.fits: ap = 79, w1 = 4375., w2 = 4282.795, dw = -0.05588, nw = 1651 140727.0032.ec.fits: ap = 80, w1 = 4341.866, w2 = 4250.36, dw = -0.05546, nw = 1651 140727.0032.ec.fits: ap = 81, w1 = 4309.23, w2 = 4218.413, dw = -0.05504, nw = 1651 140727.0032.ec.fits: ap = 82, w1 = 4277.081, w2 = 4186.943, dw = -0.05463, nw = 1651 140727.0032.ec.fits: ap = 83, w1 = 4245.409, w2 = 4155.939, dw = -0.05422, nw = 1651 140727.0032.ec.fits: ap = 84, w1 = 4214.203, w2 = 4125.391, dw = -0.05383, nw = 1651 140727.0032.ec.fits: ap = 85, w1 = 4183.453, w2 = 4095.289, dw = -0.05343, nw = 1651 140727.0032.ec.fits: ap = 86, w1 = 4153.148, w2 = 4065.623, dw = -0.05305, nw = 1651 140727.0032.ec.fits: ap = 87, w1 = 4123.28, w2 = 4036.385, dw = -0.05266, nw = 1651 140727.0032.ec.fits: ap = 88, w1 = 4093.838, w2 = 4007.564, dw = -0.05229, nw = 1651 140727.0032.ec.fits: ap = 89, w1 = 4064.815, w2 = 3979.152, dw = -0.05192, nw = 1651 140727.0032.ec.fits: ap = 90, w1 = 4036.2, w2 = 3951.14, dw = -0.05155, nw = 1651 140727.0032.ec.fits: ap = 91, w1 = 4007.986, w2 = 3923.52, dw = -0.05119, nw = 1651 140727.0032.ec.fits: ap = 92, w1 = 3980.164, w2 = 3896.284, dw = -0.05084, nw = 1651 140727.0032.ec.fits: ap = 93, w1 = 3952.725, w2 = 3869.423, dw = -0.05049, nw = 1651 140727.0032.ec.fits: ap = 94, w1 = 3925.663, w2 = 3842.93, dw = -0.05014, nw = 1651 140727.0032.ec.fits: ap = 95, w1 = 3898.97, w2 = 3816.798, dw = -0.0498, nw = 1651 140727.0032.ec.fits: ap = 96, w1 = 3872.637, w2 = 3791.019, dw = -0.04947, nw = 1651 140727.0032.ec.fits: ap = 97, w1 = 3846.658, w2 = 3765.586, dw = -0.04913, nw = 1651 140727.0032.ec.fits: ap = 98, w1 = 3821.026, w2 = 3740.492, dw = -0.04881, nw = 1651 140727.0032.ec.fits: ap = 99, w1 = 3795.733, w2 = 3715.731, dw = -0.04849, nw = 1651 140727.0032.ec.fits: ap = 100, w1 = 3770.773, w2 = 3691.295, dw = -0.04817, nw = 1651 140727.0032.ec.fits: ap = 101, w1 = 3746.14, w2 = 3667.179, dw = -0.04786, nw = 1651 140727.0032.ec.fits: ap = 102, w1 = 3721.827, w2 = 3643.375, dw = -0.04755, nw = 1651 140727.0032.ec.fits: ap = 103, w1 = 3697.828, w2 = 3619.879, dw = -0.04724, nw = 1651 140727.0032.ec.fits: ap = 104, w1 = 3674.137, w2 = 3596.685, dw = -0.04694, nw = 1651 140727.0032.ec.fits: ap = 105, w1 = 3650.748, w2 = 3573.785, dw = -0.04664, nw = 1651 140727.0032.ec.fits: ap = 106, w1 = 3627.656, w2 = 3551.176, dw = -0.04635, nw = 1651 140727.0032.ec.fits: ap = 107, w1 = 3604.854, w2 = 3528.851, dw = -0.04606, nw = 1651 140727.0032.ec.fits: ap = 108, w1 = 3582.337, w2 = 3506.805, dw = -0.04578, nw = 1651 140727.0032.ec.fits: ap = 109, w1 = 3560.1, w2 = 3485.032, dw = -0.0455, nw = 1651 140727.0032.ec.fits: ap = 110, w1 = 3538.138, w2 = 3463.529, dw = -0.04522, nw = 1651 140727.0032.ec.fits: ap = 111, w1 = 3516.446, w2 = 3442.289, dw = -0.04494, nw = 1651 140727.0032.ec.fits: ap = 112, w1 = 3495.019, w2 = 3421.308, dw = -0.04467, nw = 1651 140727.0032.ec.fits: ap = 113, w1 = 3473.852, w2 = 3400.582, dw = -0.04441, nw = 1651 140727.0032.ec.fits: ap = 114, w1 = 3452.94, w2 = 3380.105, dw = -0.04414, nw = 1651 140727.0032.ec.fits: ap = 115, w1 = 3432.278, w2 = 3359.873, dw = -0.04388, nw = 1651 140727.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0033.ec 0.86457682' 140727.0034.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.13542321' 140727.0034.ec.fits: ap = 1, w1 = 10812.39, w2 = 10584.26, dw = -0.13826, nw = 1651 140727.0034.ec.fits: ap = 2, w1 = 10612.18, w2 = 10388.27, dw = -0.1357, nw = 1651 140727.0034.ec.fits: ap = 3, w1 = 10419.25, w2 = 10199.42, dw = -0.13323, nw = 1651 140727.0034.ec.fits: ap = 4, w1 = 10233.21, w2 = 10017.3, dw = -0.13085, nw = 1651 140727.0034.ec.fits: ap = 5, w1 = 10053.7, w2 = 9841.579, dw = -0.12856, nw = 1651 140727.0034.ec.fits: ap = 6, w1 = 9880.376, w2 = 9671.915, dw = -0.12634, nw = 1651 140727.0034.ec.fits: ap = 7, w1 = 9712.928, w2 = 9508.001, dw = -0.1242, nw = 1651 140727.0034.ec.fits: ap = 8, w1 = 9551.062, w2 = 9349.551, dw = -0.12213, nw = 1651 140727.0034.ec.fits: ap = 9, w1 = 9394.503, w2 = 9196.297, dw = -0.12012, nw = 1651 140727.0034.ec.fits: ap = 10, w1 = 9242.993, w2 = 9047.985, dw = -0.11819, nw = 1651 140727.0034.ec.fits: ap = 11, w1 = 9096.292, w2 = 8904.381, dw = -0.11631, nw = 1651 140727.0034.ec.fits: ap = 12, w1 = 8954.176, w2 = 8765.264, dw = -0.11449, nw = 1651 140727.0034.ec.fits: ap = 13, w1 = 8816.433, w2 = 8630.428, dw = -0.11273, nw = 1651 140727.0034.ec.fits: ap = 14, w1 = 8682.863, w2 = 8499.678, dw = -0.11102, nw = 1651 140727.0034.ec.fits: ap = 15, w1 = 8553.281, w2 = 8372.832, dw = -0.10936, nw = 1651 140727.0034.ec.fits: ap = 16, w1 = 8427.509, w2 = 8249.715, dw = -0.10775, nw = 1651 140727.0034.ec.fits: ap = 17, w1 = 8305.383, w2 = 8130.167, dw = -0.10619, nw = 1651 140727.0034.ec.fits: ap = 18, w1 = 8186.746, w2 = 8014.034, dw = -0.10467, nw = 1651 140727.0034.ec.fits: ap = 19, w1 = 8071.451, w2 = 7901.173, dw = -0.1032, nw = 1651 140727.0034.ec.fits: ap = 20, w1 = 7959.358, w2 = 7791.446, dw = -0.10176, nw = 1651 140727.0034.ec.fits: ap = 21, w1 = 7850.336, w2 = 7684.726, dw = -0.10037, nw = 1651 140727.0034.ec.fits: ap = 22, w1 = 7744.261, w2 = 7580.89, dw = -0.09901, nw = 1651 140727.0034.ec.fits: ap = 23, w1 = 7641.014, w2 = 7479.823, dw = -0.09769, nw = 1651 140727.0034.ec.fits: ap = 24, w1 = 7540.484, w2 = 7381.416, dw = -0.09641, nw = 1651 140727.0034.ec.fits: ap = 25, w1 = 7442.565, w2 = 7285.564, dw = -0.09515, nw = 1651 140727.0034.ec.fits: ap = 26, w1 = 7347.157, w2 = 7192.17, dw = -0.09393, nw = 1651 140727.0034.ec.fits: ap = 27, w1 = 7254.164, w2 = 7101.141, dw = -0.09274, nw = 1651 140727.0034.ec.fits: ap = 28, w1 = 7163.496, w2 = 7012.388, dw = -0.09158, nw = 1651 140727.0034.ec.fits: ap = 29, w1 = 7075.067, w2 = 6925.825, dw = -0.09045, nw = 1651 140727.0034.ec.fits: ap = 30, w1 = 6988.795, w2 = 6841.375, dw = -0.08935, nw = 1651 140727.0034.ec.fits: ap = 31, w1 = 6904.601, w2 = 6758.959, dw = -0.08827, nw = 1651 140727.0034.ec.fits: ap = 32, w1 = 6822.412, w2 = 6678.505, dw = -0.08722, nw = 1651 140727.0034.ec.fits: ap = 33, w1 = 6742.157, w2 = 6599.945, dw = -0.08619, nw = 1651 140727.0034.ec.fits: ap = 34, w1 = 6663.768, w2 = 6523.211, dw = -0.08519, nw = 1651 140727.0034.ec.fits: ap = 35, w1 = 6587.181, w2 = 6448.242, dw = -0.08421, nw = 1651 140727.0034.ec.fits: ap = 36, w1 = 6512.335, w2 = 6374.977, dw = -0.08325, nw = 1651 140727.0034.ec.fits: ap = 37, w1 = 6439.171, w2 = 6303.358, dw = -0.08231, nw = 1651 140727.0034.ec.fits: ap = 38, w1 = 6367.632, w2 = 6233.33, dw = -0.0814, nw = 1651 140727.0034.ec.fits: ap = 39, w1 = 6297.666, w2 = 6164.842, dw = -0.0805, nw = 1651 140727.0034.ec.fits: ap = 40, w1 = 6229.221, w2 = 6097.842, dw = -0.07962, nw = 1651 140727.0034.ec.fits: ap = 41, w1 = 6162.248, w2 = 6032.284, dw = -0.07877, nw = 1651 140727.0034.ec.fits: ap = 42, w1 = 6096.7, w2 = 5968.121, dw = -0.07793, nw = 1651 140727.0034.ec.fits: ap = 43, w1 = 6032.532, w2 = 5905.308, dw = -0.07711, nw = 1651 140727.0034.ec.fits: ap = 44, w1 = 5969.702, w2 = 5843.805, dw = -0.0763, nw = 1651 140727.0034.ec.fits: ap = 45, w1 = 5908.166, w2 = 5783.569, dw = -0.07551, nw = 1651 140727.0034.ec.fits: ap = 46, w1 = 5847.887, w2 = 5724.563, dw = -0.07474, nw = 1651 140727.0034.ec.fits: ap = 47, w1 = 5788.825, w2 = 5666.749, dw = -0.07399, nw = 1651 140727.0034.ec.fits: ap = 48, w1 = 5730.945, w2 = 5610.092, dw = -0.07324, nw = 1651 140727.0034.ec.fits: ap = 49, w1 = 5674.211, w2 = 5554.556, dw = -0.07252, nw = 1651 140727.0034.ec.fits: ap = 50, w1 = 5618.589, w2 = 5500.11, dw = -0.07181, nw = 1651 140727.0034.ec.fits: ap = 51, w1 = 5564.048, w2 = 5446.72, dw = -0.07111, nw = 1651 140727.0034.ec.fits: ap = 52, w1 = 5510.555, w2 = 5394.358, dw = -0.07042, nw = 1651 140727.0034.ec.fits: ap = 53, w1 = 5458.082, w2 = 5342.993, dw = -0.06975, nw = 1651 140727.0034.ec.fits: ap = 54, w1 = 5406.598, w2 = 5292.598, dw = -0.06909, nw = 1651 140727.0034.ec.fits: ap = 55, w1 = 5356.077, w2 = 5243.144, dw = -0.06844, nw = 1651 140727.0034.ec.fits: ap = 56, w1 = 5306.492, w2 = 5194.607, dw = -0.06781, nw = 1651 140727.0034.ec.fits: ap = 57, w1 = 5257.817, w2 = 5146.96, dw = -0.06719, nw = 1651 140727.0034.ec.fits: ap = 58, w1 = 5210.026, w2 = 5100.179, dw = -0.06657, nw = 1651 140727.0034.ec.fits: ap = 59, w1 = 5163.097, w2 = 5054.242, dw = -0.06597, nw = 1651 140727.0034.ec.fits: ap = 60, w1 = 5117.007, w2 = 5009.126, dw = -0.06538, nw = 1651 140727.0034.ec.fits: ap = 61, w1 = 5071.732, w2 = 4964.807, dw = -0.0648, nw = 1651 140727.0034.ec.fits: ap = 62, w1 = 5027.252, w2 = 4921.266, dw = -0.06423, nw = 1651 140727.0034.ec.fits: ap = 63, w1 = 4983.545, w2 = 4878.483, dw = -0.06367, nw = 1651 140727.0034.ec.fits: ap = 64, w1 = 4940.592, w2 = 4836.437, dw = -0.06312, nw = 1651 140727.0034.ec.fits: ap = 65, w1 = 4898.373, w2 = 4795.111, dw = -0.06258, nw = 1651 140727.0034.ec.fits: ap = 66, w1 = 4856.869, w2 = 4754.484, dw = -0.06205, nw = 1651 140727.0034.ec.fits: ap = 67, w1 = 4816.064, w2 = 4714.541, dw = -0.06153, nw = 1651 140727.0034.ec.fits: ap = 68, w1 = 4775.939, w2 = 4675.264, dw = -0.06102, nw = 1651 140727.0034.ec.fits: ap = 69, w1 = 4736.477, w2 = 4636.635, dw = -0.06051, nw = 1651 140727.0034.ec.fits: ap = 70, w1 = 4697.662, w2 = 4598.64, dw = -0.06001, nw = 1651 140727.0034.ec.fits: ap = 71, w1 = 4659.478, w2 = 4561.263, dw = -0.05952, nw = 1651 140727.0034.ec.fits: ap = 72, w1 = 4621.91, w2 = 4524.489, dw = -0.05904, nw = 1651 140727.0034.ec.fits: ap = 73, w1 = 4584.944, w2 = 4488.304, dw = -0.05857, nw = 1651 140727.0034.ec.fits: ap = 74, w1 = 4548.564, w2 = 4452.693, dw = -0.0581, nw = 1651 140727.0034.ec.fits: ap = 75, w1 = 4512.757, w2 = 4417.643, dw = -0.05765, nw = 1651 140727.0034.ec.fits: ap = 76, w1 = 4477.51, w2 = 4383.14, dw = -0.05719, nw = 1651 140727.0034.ec.fits: ap = 77, w1 = 4442.81, w2 = 4349.173, dw = -0.05675, nw = 1651 140727.0034.ec.fits: ap = 78, w1 = 4408.643, w2 = 4315.728, dw = -0.05631, nw = 1651 140727.0034.ec.fits: ap = 79, w1 = 4374.998, w2 = 4282.794, dw = -0.05588, nw = 1651 140727.0034.ec.fits: ap = 80, w1 = 4341.863, w2 = 4250.359, dw = -0.05546, nw = 1651 140727.0034.ec.fits: ap = 81, w1 = 4309.227, w2 = 4218.411, dw = -0.05504, nw = 1651 140727.0034.ec.fits: ap = 82, w1 = 4277.078, w2 = 4186.941, dw = -0.05463, nw = 1651 140727.0034.ec.fits: ap = 83, w1 = 4245.405, w2 = 4155.937, dw = -0.05422, nw = 1651 140727.0034.ec.fits: ap = 84, w1 = 4214.198, w2 = 4125.389, dw = -0.05382, nw = 1651 140727.0034.ec.fits: ap = 85, w1 = 4183.446, w2 = 4095.287, dw = -0.05343, nw = 1651 140727.0034.ec.fits: ap = 86, w1 = 4153.14, w2 = 4065.621, dw = -0.05304, nw = 1651 140727.0034.ec.fits: ap = 87, w1 = 4123.271, w2 = 4036.382, dw = -0.05266, nw = 1651 140727.0034.ec.fits: ap = 88, w1 = 4093.828, w2 = 4007.561, dw = -0.05228, nw = 1651 140727.0034.ec.fits: ap = 89, w1 = 4064.803, w2 = 3979.148, dw = -0.05191, nw = 1651 140727.0034.ec.fits: ap = 90, w1 = 4036.187, w2 = 3951.136, dw = -0.05155, nw = 1651 140727.0034.ec.fits: ap = 91, w1 = 4007.971, w2 = 3923.516, dw = -0.05119, nw = 1651 140727.0034.ec.fits: ap = 92, w1 = 3980.147, w2 = 3896.279, dw = -0.05083, nw = 1651 140727.0034.ec.fits: ap = 93, w1 = 3952.707, w2 = 3869.418, dw = -0.05048, nw = 1651 140727.0034.ec.fits: ap = 94, w1 = 3925.643, w2 = 3842.925, dw = -0.05013, nw = 1651 140727.0034.ec.fits: ap = 95, w1 = 3898.948, w2 = 3816.792, dw = -0.04979, nw = 1651 140727.0034.ec.fits: ap = 96, w1 = 3872.613, w2 = 3791.012, dw = -0.04945, nw = 1651 140727.0034.ec.fits: ap = 97, w1 = 3846.631, w2 = 3765.579, dw = -0.04912, nw = 1651 140727.0034.ec.fits: ap = 98, w1 = 3820.997, w2 = 3740.485, dw = -0.0488, nw = 1651 140727.0034.ec.fits: ap = 99, w1 = 3795.701, w2 = 3715.722, dw = -0.04847, nw = 1651 140727.0034.ec.fits: ap = 100, w1 = 3770.739, w2 = 3691.286, dw = -0.04815, nw = 1651 140727.0034.ec.fits: ap = 101, w1 = 3746.103, w2 = 3667.169, dw = -0.04784, nw = 1651 140727.0034.ec.fits: ap = 102, w1 = 3721.787, w2 = 3643.365, dw = -0.04753, nw = 1651 140727.0034.ec.fits: ap = 103, w1 = 3697.785, w2 = 3619.869, dw = -0.04722, nw = 1651 140727.0034.ec.fits: ap = 104, w1 = 3674.09, w2 = 3596.673, dw = -0.04692, nw = 1651 140727.0034.ec.fits: ap = 105, w1 = 3650.697, w2 = 3573.773, dw = -0.04662, nw = 1651 140727.0034.ec.fits: ap = 106, w1 = 3627.601, w2 = 3551.163, dw = -0.04633, nw = 1651 140727.0034.ec.fits: ap = 107, w1 = 3604.794, w2 = 3528.836, dw = -0.04604, nw = 1651 140727.0034.ec.fits: ap = 108, w1 = 3582.274, w2 = 3506.79, dw = -0.04575, nw = 1651 140727.0034.ec.fits: ap = 109, w1 = 3560.033, w2 = 3485.017, dw = -0.04546, nw = 1651 140727.0034.ec.fits: ap = 110, w1 = 3538.067, w2 = 3463.513, dw = -0.04518, nw = 1651 140727.0034.ec.fits: ap = 111, w1 = 3516.371, w2 = 3442.273, dw = -0.04491, nw = 1651 140727.0034.ec.fits: ap = 112, w1 = 3494.939, w2 = 3421.291, dw = -0.04463, nw = 1651 140727.0034.ec.fits: ap = 113, w1 = 3473.765, w2 = 3400.563, dw = -0.04437, nw = 1651 140727.0034.ec.fits: ap = 114, w1 = 3452.848, w2 = 3380.085, dw = -0.0441, nw = 1651 140727.0034.ec.fits: ap = 115, w1 = 3432.181, w2 = 3359.852, dw = -0.04384, nw = 1651 140727.0035.ec.fits: REFSPEC1 = 'EchelleThAr.0033.ec 0.61862135' 140727.0035.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.38137865' 140727.0035.ec.fits: ap = 1, w1 = 10812.35, w2 = 10584.22, dw = -0.13826, nw = 1651 140727.0035.ec.fits: ap = 2, w1 = 10612.14, w2 = 10388.24, dw = -0.1357, nw = 1651 140727.0035.ec.fits: ap = 3, w1 = 10419.22, w2 = 10199.38, dw = -0.13323, nw = 1651 140727.0035.ec.fits: ap = 4, w1 = 10233.18, w2 = 10017.27, dw = -0.13085, nw = 1651 140727.0035.ec.fits: ap = 5, w1 = 10053.67, w2 = 9841.548, dw = -0.12856, nw = 1651 140727.0035.ec.fits: ap = 6, w1 = 9880.348, w2 = 9671.884, dw = -0.12634, nw = 1651 140727.0035.ec.fits: ap = 7, w1 = 9712.902, w2 = 9507.972, dw = -0.1242, nw = 1651 140727.0035.ec.fits: ap = 8, w1 = 9551.037, w2 = 9349.523, dw = -0.12213, nw = 1651 140727.0035.ec.fits: ap = 9, w1 = 9394.479, w2 = 9196.269, dw = -0.12013, nw = 1651 140727.0035.ec.fits: ap = 10, w1 = 9242.97, w2 = 9047.957, dw = -0.11819, nw = 1651 140727.0035.ec.fits: ap = 11, w1 = 9096.27, w2 = 8904.354, dw = -0.11631, nw = 1651 140727.0035.ec.fits: ap = 12, w1 = 8954.154, w2 = 8765.238, dw = -0.11449, nw = 1651 140727.0035.ec.fits: ap = 13, w1 = 8816.411, w2 = 8630.403, dw = -0.11273, nw = 1651 140727.0035.ec.fits: ap = 14, w1 = 8682.842, w2 = 8499.653, dw = -0.11102, nw = 1651 140727.0035.ec.fits: ap = 15, w1 = 8553.26, w2 = 8372.807, dw = -0.10937, nw = 1651 140727.0035.ec.fits: ap = 16, w1 = 8427.489, w2 = 8249.691, dw = -0.10776, nw = 1651 140727.0035.ec.fits: ap = 17, w1 = 8305.363, w2 = 8130.143, dw = -0.10619, nw = 1651 140727.0035.ec.fits: ap = 18, w1 = 8186.726, w2 = 8014.011, dw = -0.10468, nw = 1651 140727.0035.ec.fits: ap = 19, w1 = 8071.431, w2 = 7901.15, dw = -0.1032, nw = 1651 140727.0035.ec.fits: ap = 20, w1 = 7959.338, w2 = 7791.424, dw = -0.10177, nw = 1651 140727.0035.ec.fits: ap = 21, w1 = 7850.317, w2 = 7684.704, dw = -0.10037, nw = 1651 140727.0035.ec.fits: ap = 22, w1 = 7744.241, w2 = 7580.868, dw = -0.09901, nw = 1651 140727.0035.ec.fits: ap = 23, w1 = 7640.995, w2 = 7479.802, dw = -0.09769, nw = 1651 140727.0035.ec.fits: ap = 24, w1 = 7540.465, w2 = 7381.394, dw = -0.09641, nw = 1651 140727.0035.ec.fits: ap = 25, w1 = 7442.546, w2 = 7285.543, dw = -0.09515, nw = 1651 140727.0035.ec.fits: ap = 26, w1 = 7347.138, w2 = 7192.15, dw = -0.09393, nw = 1651 140727.0035.ec.fits: ap = 27, w1 = 7254.145, w2 = 7101.121, dw = -0.09274, nw = 1651 140727.0035.ec.fits: ap = 28, w1 = 7163.477, w2 = 7012.368, dw = -0.09158, nw = 1651 140727.0035.ec.fits: ap = 29, w1 = 7075.048, w2 = 6925.806, dw = -0.09045, nw = 1651 140727.0035.ec.fits: ap = 30, w1 = 6988.775, w2 = 6841.355, dw = -0.08935, nw = 1651 140727.0035.ec.fits: ap = 31, w1 = 6904.582, w2 = 6758.94, dw = -0.08827, nw = 1651 140727.0035.ec.fits: ap = 32, w1 = 6822.393, w2 = 6678.486, dw = -0.08722, nw = 1651 140727.0035.ec.fits: ap = 33, w1 = 6742.138, w2 = 6599.926, dw = -0.08619, nw = 1651 140727.0035.ec.fits: ap = 34, w1 = 6663.749, w2 = 6523.193, dw = -0.08519, nw = 1651 140727.0035.ec.fits: ap = 35, w1 = 6587.163, w2 = 6448.224, dw = -0.08421, nw = 1651 140727.0035.ec.fits: ap = 36, w1 = 6512.317, w2 = 6374.959, dw = -0.08325, nw = 1651 140727.0035.ec.fits: ap = 37, w1 = 6439.153, w2 = 6303.34, dw = -0.08231, nw = 1651 140727.0035.ec.fits: ap = 38, w1 = 6367.614, w2 = 6233.313, dw = -0.08139, nw = 1651 140727.0035.ec.fits: ap = 39, w1 = 6297.648, w2 = 6164.825, dw = -0.0805, nw = 1651 140727.0035.ec.fits: ap = 40, w1 = 6229.204, w2 = 6097.826, dw = -0.07962, nw = 1651 140727.0035.ec.fits: ap = 41, w1 = 6162.231, w2 = 6032.268, dw = -0.07877, nw = 1651 140727.0035.ec.fits: ap = 42, w1 = 6096.683, w2 = 5968.105, dw = -0.07793, nw = 1651 140727.0035.ec.fits: ap = 43, w1 = 6032.516, w2 = 5905.292, dw = -0.07711, nw = 1651 140727.0035.ec.fits: ap = 44, w1 = 5969.685, w2 = 5843.789, dw = -0.0763, nw = 1651 140727.0035.ec.fits: ap = 45, w1 = 5908.15, w2 = 5783.554, dw = -0.07551, nw = 1651 140727.0035.ec.fits: ap = 46, w1 = 5847.871, w2 = 5724.548, dw = -0.07474, nw = 1651 140727.0035.ec.fits: ap = 47, w1 = 5788.81, w2 = 5666.734, dw = -0.07399, nw = 1651 140727.0035.ec.fits: ap = 48, w1 = 5730.93, w2 = 5610.077, dw = -0.07324, nw = 1651 140727.0035.ec.fits: ap = 49, w1 = 5674.196, w2 = 5554.541, dw = -0.07252, nw = 1651 140727.0035.ec.fits: ap = 50, w1 = 5618.575, w2 = 5500.095, dw = -0.07181, nw = 1651 140727.0035.ec.fits: ap = 51, w1 = 5564.034, w2 = 5446.706, dw = -0.07111, nw = 1651 140727.0035.ec.fits: ap = 52, w1 = 5510.541, w2 = 5394.344, dw = -0.07042, nw = 1651 140727.0035.ec.fits: ap = 53, w1 = 5458.068, w2 = 5342.979, dw = -0.06975, nw = 1651 140727.0035.ec.fits: ap = 54, w1 = 5406.585, w2 = 5292.584, dw = -0.06909, nw = 1651 140727.0035.ec.fits: ap = 55, w1 = 5356.065, w2 = 5243.13, dw = -0.06845, nw = 1651 140727.0035.ec.fits: ap = 56, w1 = 5306.48, w2 = 5194.593, dw = -0.06781, nw = 1651 140727.0035.ec.fits: ap = 57, w1 = 5257.805, w2 = 5146.946, dw = -0.06719, nw = 1651 140727.0035.ec.fits: ap = 58, w1 = 5210.015, w2 = 5100.166, dw = -0.06658, nw = 1651 140727.0035.ec.fits: ap = 59, w1 = 5163.086, w2 = 5054.228, dw = -0.06597, nw = 1651 140727.0035.ec.fits: ap = 60, w1 = 5116.996, w2 = 5009.112, dw = -0.06538, nw = 1651 140727.0035.ec.fits: ap = 61, w1 = 5071.721, w2 = 4964.794, dw = -0.0648, nw = 1651 140727.0035.ec.fits: ap = 62, w1 = 5027.241, w2 = 4921.253, dw = -0.06423, nw = 1651 140727.0035.ec.fits: ap = 63, w1 = 4983.534, w2 = 4878.47, dw = -0.06368, nw = 1651 140727.0035.ec.fits: ap = 64, w1 = 4940.581, w2 = 4836.424, dw = -0.06313, nw = 1651 140727.0035.ec.fits: ap = 65, w1 = 4898.362, w2 = 4795.098, dw = -0.06258, nw = 1651 140727.0035.ec.fits: ap = 66, w1 = 4856.859, w2 = 4754.471, dw = -0.06205, nw = 1651 140727.0035.ec.fits: ap = 67, w1 = 4816.053, w2 = 4714.528, dw = -0.06153, nw = 1651 140727.0035.ec.fits: ap = 68, w1 = 4775.928, w2 = 4675.25, dw = -0.06102, nw = 1651 140727.0035.ec.fits: ap = 69, w1 = 4736.466, w2 = 4636.622, dw = -0.06051, nw = 1651 140727.0035.ec.fits: ap = 70, w1 = 4697.651, w2 = 4598.627, dw = -0.06001, nw = 1651 140727.0035.ec.fits: ap = 71, w1 = 4659.467, w2 = 4561.25, dw = -0.05953, nw = 1651 140727.0035.ec.fits: ap = 72, w1 = 4621.899, w2 = 4524.476, dw = -0.05904, nw = 1651 140727.0035.ec.fits: ap = 73, w1 = 4584.932, w2 = 4488.291, dw = -0.05857, nw = 1651 140727.0035.ec.fits: ap = 74, w1 = 4548.552, w2 = 4452.679, dw = -0.0581, nw = 1651 140727.0035.ec.fits: ap = 75, w1 = 4512.745, w2 = 4417.629, dw = -0.05765, nw = 1651 140727.0035.ec.fits: ap = 76, w1 = 4477.498, w2 = 4383.127, dw = -0.05719, nw = 1651 140727.0035.ec.fits: ap = 77, w1 = 4442.797, w2 = 4349.159, dw = -0.05675, nw = 1651 140727.0035.ec.fits: ap = 78, w1 = 4408.629, w2 = 4315.714, dw = -0.05631, nw = 1651 140727.0035.ec.fits: ap = 79, w1 = 4374.984, w2 = 4282.78, dw = -0.05588, nw = 1651 140727.0035.ec.fits: ap = 80, w1 = 4341.848, w2 = 4250.344, dw = -0.05546, nw = 1651 140727.0035.ec.fits: ap = 81, w1 = 4309.211, w2 = 4218.397, dw = -0.05504, nw = 1651 140727.0035.ec.fits: ap = 82, w1 = 4277.06, w2 = 4186.926, dw = -0.05463, nw = 1651 140727.0035.ec.fits: ap = 83, w1 = 4245.386, w2 = 4155.922, dw = -0.05422, nw = 1651 140727.0035.ec.fits: ap = 84, w1 = 4214.178, w2 = 4125.373, dw = -0.05382, nw = 1651 140727.0035.ec.fits: ap = 85, w1 = 4183.425, w2 = 4095.271, dw = -0.05343, nw = 1651 140727.0035.ec.fits: ap = 86, w1 = 4153.118, w2 = 4065.605, dw = -0.05304, nw = 1651 140727.0035.ec.fits: ap = 87, w1 = 4123.247, w2 = 4036.365, dw = -0.05266, nw = 1651 140727.0035.ec.fits: ap = 88, w1 = 4093.803, w2 = 4007.544, dw = -0.05228, nw = 1651 140727.0035.ec.fits: ap = 89, w1 = 4064.776, w2 = 3979.131, dw = -0.05191, nw = 1651 140727.0035.ec.fits: ap = 90, w1 = 4036.158, w2 = 3951.118, dw = -0.05154, nw = 1651 140727.0035.ec.fits: ap = 91, w1 = 4007.941, w2 = 3923.497, dw = -0.05118, nw = 1651 140727.0035.ec.fits: ap = 92, w1 = 3980.115, w2 = 3896.26, dw = -0.05082, nw = 1651 140727.0035.ec.fits: ap = 93, w1 = 3952.672, w2 = 3869.398, dw = -0.05047, nw = 1651 140727.0035.ec.fits: ap = 94, w1 = 3925.606, w2 = 3842.904, dw = -0.05012, nw = 1651 140727.0035.ec.fits: ap = 95, w1 = 3898.908, w2 = 3816.771, dw = -0.04978, nw = 1651 140727.0035.ec.fits: ap = 96, w1 = 3872.57, w2 = 3790.991, dw = -0.04944, nw = 1651 140727.0035.ec.fits: ap = 97, w1 = 3846.586, w2 = 3765.557, dw = -0.04911, nw = 1651 140727.0035.ec.fits: ap = 98, w1 = 3820.948, w2 = 3740.461, dw = -0.04878, nw = 1651 140727.0035.ec.fits: ap = 99, w1 = 3795.65, w2 = 3715.699, dw = -0.04846, nw = 1651 140727.0035.ec.fits: ap = 100, w1 = 3770.684, w2 = 3691.261, dw = -0.04813, nw = 1651 140727.0035.ec.fits: ap = 101, w1 = 3746.044, w2 = 3667.144, dw = -0.04782, nw = 1651 140727.0035.ec.fits: ap = 102, w1 = 3721.725, w2 = 3643.339, dw = -0.04751, nw = 1651 140727.0035.ec.fits: ap = 103, w1 = 3697.719, w2 = 3619.841, dw = -0.0472, nw = 1651 140727.0035.ec.fits: ap = 104, w1 = 3674.02, w2 = 3596.645, dw = -0.04689, nw = 1651 140727.0035.ec.fits: ap = 105, w1 = 3650.623, w2 = 3573.744, dw = -0.04659, nw = 1651 140727.0035.ec.fits: ap = 106, w1 = 3627.522, w2 = 3551.133, dw = -0.0463, nw = 1651 140727.0035.ec.fits: ap = 107, w1 = 3604.711, w2 = 3528.805, dw = -0.046, nw = 1651 140727.0035.ec.fits: ap = 108, w1 = 3582.186, w2 = 3506.757, dw = -0.04571, nw = 1651 140727.0035.ec.fits: ap = 109, w1 = 3559.94, w2 = 3484.983, dw = -0.04543, nw = 1651 140727.0035.ec.fits: ap = 110, w1 = 3537.969, w2 = 3463.478, dw = -0.04515, nw = 1651 140727.0035.ec.fits: ap = 111, w1 = 3516.267, w2 = 3442.236, dw = -0.04487, nw = 1651 140727.0035.ec.fits: ap = 112, w1 = 3494.829, w2 = 3421.253, dw = -0.04459, nw = 1651 140727.0035.ec.fits: ap = 113, w1 = 3473.651, w2 = 3400.524, dw = -0.04432, nw = 1651 140727.0035.ec.fits: ap = 114, w1 = 3452.727, w2 = 3380.044, dw = -0.04405, nw = 1651 140727.0035.ec.fits: ap = 115, w1 = 3432.054, w2 = 3359.81, dw = -0.04378, nw = 1651 140727.0036.ec.fits: REFSPEC1 = 'EchelleThAr.0033.ec 0.35672629' 140727.0036.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.64327371' 140727.0036.ec.fits: ap = 1, w1 = 10812.31, w2 = 10584.18, dw = -0.13826, nw = 1651 140727.0036.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.2, dw = -0.1357, nw = 1651 140727.0036.ec.fits: ap = 3, w1 = 10419.18, w2 = 10199.35, dw = -0.13323, nw = 1651 140727.0036.ec.fits: ap = 4, w1 = 10233.15, w2 = 10017.24, dw = -0.13086, nw = 1651 140727.0036.ec.fits: ap = 5, w1 = 10053.64, w2 = 9841.515, dw = -0.12856, nw = 1651 140727.0036.ec.fits: ap = 6, w1 = 9880.319, w2 = 9671.852, dw = -0.12634, nw = 1651 140727.0036.ec.fits: ap = 7, w1 = 9712.874, w2 = 9507.94, dw = -0.1242, nw = 1651 140727.0036.ec.fits: ap = 8, w1 = 9551.01, w2 = 9349.492, dw = -0.12213, nw = 1651 140727.0036.ec.fits: ap = 9, w1 = 9394.453, w2 = 9196.239, dw = -0.12013, nw = 1651 140727.0036.ec.fits: ap = 10, w1 = 9242.945, w2 = 9047.928, dw = -0.11819, nw = 1651 140727.0036.ec.fits: ap = 11, w1 = 9096.246, w2 = 8904.326, dw = -0.11632, nw = 1651 140727.0036.ec.fits: ap = 12, w1 = 8954.131, w2 = 8765.211, dw = -0.1145, nw = 1651 140727.0036.ec.fits: ap = 13, w1 = 8816.389, w2 = 8630.376, dw = -0.11274, nw = 1651 140727.0036.ec.fits: ap = 14, w1 = 8682.82, w2 = 8499.627, dw = -0.11103, nw = 1651 140727.0036.ec.fits: ap = 15, w1 = 8553.238, w2 = 8372.781, dw = -0.10937, nw = 1651 140727.0036.ec.fits: ap = 16, w1 = 8427.467, w2 = 8249.665, dw = -0.10776, nw = 1651 140727.0036.ec.fits: ap = 17, w1 = 8305.342, w2 = 8130.118, dw = -0.1062, nw = 1651 140727.0036.ec.fits: ap = 18, w1 = 8186.705, w2 = 8013.986, dw = -0.10468, nw = 1651 140727.0036.ec.fits: ap = 19, w1 = 8071.41, w2 = 7901.125, dw = -0.1032, nw = 1651 140727.0036.ec.fits: ap = 20, w1 = 7959.317, w2 = 7791.4, dw = -0.10177, nw = 1651 140727.0036.ec.fits: ap = 21, w1 = 7850.296, w2 = 7684.68, dw = -0.10037, nw = 1651 140727.0036.ec.fits: ap = 22, w1 = 7744.221, w2 = 7580.845, dw = -0.09902, nw = 1651 140727.0036.ec.fits: ap = 23, w1 = 7640.974, w2 = 7479.779, dw = -0.09769, nw = 1651 140727.0036.ec.fits: ap = 24, w1 = 7540.444, w2 = 7381.372, dw = -0.09641, nw = 1651 140727.0036.ec.fits: ap = 25, w1 = 7442.525, w2 = 7285.521, dw = -0.09515, nw = 1651 140727.0036.ec.fits: ap = 26, w1 = 7347.117, w2 = 7192.128, dw = -0.09393, nw = 1651 140727.0036.ec.fits: ap = 27, w1 = 7254.125, w2 = 7101.099, dw = -0.09274, nw = 1651 140727.0036.ec.fits: ap = 28, w1 = 7163.457, w2 = 7012.346, dw = -0.09158, nw = 1651 140727.0036.ec.fits: ap = 29, w1 = 7075.028, w2 = 6925.785, dw = -0.09045, nw = 1651 140727.0036.ec.fits: ap = 30, w1 = 6988.755, w2 = 6841.335, dw = -0.08935, nw = 1651 140727.0036.ec.fits: ap = 31, w1 = 6904.562, w2 = 6758.919, dw = -0.08827, nw = 1651 140727.0036.ec.fits: ap = 32, w1 = 6822.373, w2 = 6678.466, dw = -0.08722, nw = 1651 140727.0036.ec.fits: ap = 33, w1 = 6742.118, w2 = 6599.907, dw = -0.08619, nw = 1651 140727.0036.ec.fits: ap = 34, w1 = 6663.729, w2 = 6523.174, dw = -0.08519, nw = 1651 140727.0036.ec.fits: ap = 35, w1 = 6587.143, w2 = 6448.205, dw = -0.0842, nw = 1651 140727.0036.ec.fits: ap = 36, w1 = 6512.297, w2 = 6374.94, dw = -0.08325, nw = 1651 140727.0036.ec.fits: ap = 37, w1 = 6439.133, w2 = 6303.322, dw = -0.08231, nw = 1651 140727.0036.ec.fits: ap = 38, w1 = 6367.595, w2 = 6233.294, dw = -0.08139, nw = 1651 140727.0036.ec.fits: ap = 39, w1 = 6297.63, w2 = 6164.807, dw = -0.0805, nw = 1651 140727.0036.ec.fits: ap = 40, w1 = 6229.185, w2 = 6097.808, dw = -0.07962, nw = 1651 140727.0036.ec.fits: ap = 41, w1 = 6162.213, w2 = 6032.25, dw = -0.07877, nw = 1651 140727.0036.ec.fits: ap = 42, w1 = 6096.666, w2 = 5968.087, dw = -0.07793, nw = 1651 140727.0036.ec.fits: ap = 43, w1 = 6032.498, w2 = 5905.275, dw = -0.0771, nw = 1651 140727.0036.ec.fits: ap = 44, w1 = 5969.668, w2 = 5843.772, dw = -0.0763, nw = 1651 140727.0036.ec.fits: ap = 45, w1 = 5908.133, w2 = 5783.537, dw = -0.07551, nw = 1651 140727.0036.ec.fits: ap = 46, w1 = 5847.854, w2 = 5724.531, dw = -0.07474, nw = 1651 140727.0036.ec.fits: ap = 47, w1 = 5788.793, w2 = 5666.718, dw = -0.07399, nw = 1651 140727.0036.ec.fits: ap = 48, w1 = 5730.914, w2 = 5610.061, dw = -0.07324, nw = 1651 140727.0036.ec.fits: ap = 49, w1 = 5674.18, w2 = 5554.525, dw = -0.07252, nw = 1651 140727.0036.ec.fits: ap = 50, w1 = 5618.559, w2 = 5500.079, dw = -0.07181, nw = 1651 140727.0036.ec.fits: ap = 51, w1 = 5564.019, w2 = 5446.69, dw = -0.07111, nw = 1651 140727.0036.ec.fits: ap = 52, w1 = 5510.527, w2 = 5394.328, dw = -0.07042, nw = 1651 140727.0036.ec.fits: ap = 53, w1 = 5458.054, w2 = 5342.964, dw = -0.06975, nw = 1651 140727.0036.ec.fits: ap = 54, w1 = 5406.571, w2 = 5292.569, dw = -0.06909, nw = 1651 140727.0036.ec.fits: ap = 55, w1 = 5356.051, w2 = 5243.116, dw = -0.06845, nw = 1651 140727.0036.ec.fits: ap = 56, w1 = 5306.467, w2 = 5194.578, dw = -0.06781, nw = 1651 140727.0036.ec.fits: ap = 57, w1 = 5257.792, w2 = 5146.932, dw = -0.06719, nw = 1651 140727.0036.ec.fits: ap = 58, w1 = 5210.002, w2 = 5100.151, dw = -0.06658, nw = 1651 140727.0036.ec.fits: ap = 59, w1 = 5163.074, w2 = 5054.214, dw = -0.06598, nw = 1651 140727.0036.ec.fits: ap = 60, w1 = 5116.984, w2 = 5009.098, dw = -0.06539, nw = 1651 140727.0036.ec.fits: ap = 61, w1 = 5071.709, w2 = 4964.78, dw = -0.06481, nw = 1651 140727.0036.ec.fits: ap = 62, w1 = 5027.229, w2 = 4921.239, dw = -0.06424, nw = 1651 140727.0036.ec.fits: ap = 63, w1 = 4983.522, w2 = 4878.456, dw = -0.06368, nw = 1651 140727.0036.ec.fits: ap = 64, w1 = 4940.569, w2 = 4836.41, dw = -0.06313, nw = 1651 140727.0036.ec.fits: ap = 65, w1 = 4898.351, w2 = 4795.084, dw = -0.06259, nw = 1651 140727.0036.ec.fits: ap = 66, w1 = 4856.848, w2 = 4754.457, dw = -0.06205, nw = 1651 140727.0036.ec.fits: ap = 67, w1 = 4816.042, w2 = 4714.514, dw = -0.06153, nw = 1651 140727.0036.ec.fits: ap = 68, w1 = 4775.917, w2 = 4675.237, dw = -0.06102, nw = 1651 140727.0036.ec.fits: ap = 69, w1 = 4736.455, w2 = 4636.608, dw = -0.06051, nw = 1651 140727.0036.ec.fits: ap = 70, w1 = 4697.64, w2 = 4598.613, dw = -0.06002, nw = 1651 140727.0036.ec.fits: ap = 71, w1 = 4659.456, w2 = 4561.236, dw = -0.05953, nw = 1651 140727.0036.ec.fits: ap = 72, w1 = 4621.887, w2 = 4524.462, dw = -0.05905, nw = 1651 140727.0036.ec.fits: ap = 73, w1 = 4584.92, w2 = 4488.276, dw = -0.05857, nw = 1651 140727.0036.ec.fits: ap = 74, w1 = 4548.54, w2 = 4452.665, dw = -0.05811, nw = 1651 140727.0036.ec.fits: ap = 75, w1 = 4512.732, w2 = 4417.615, dw = -0.05765, nw = 1651 140727.0036.ec.fits: ap = 76, w1 = 4477.484, w2 = 4383.112, dw = -0.0572, nw = 1651 140727.0036.ec.fits: ap = 77, w1 = 4442.783, w2 = 4349.144, dw = -0.05675, nw = 1651 140727.0036.ec.fits: ap = 78, w1 = 4408.615, w2 = 4315.699, dw = -0.05631, nw = 1651 140727.0036.ec.fits: ap = 79, w1 = 4374.969, w2 = 4282.764, dw = -0.05588, nw = 1651 140727.0036.ec.fits: ap = 80, w1 = 4341.832, w2 = 4250.329, dw = -0.05546, nw = 1651 140727.0036.ec.fits: ap = 81, w1 = 4309.194, w2 = 4218.381, dw = -0.05504, nw = 1651 140727.0036.ec.fits: ap = 82, w1 = 4277.042, w2 = 4186.91, dw = -0.05463, nw = 1651 140727.0036.ec.fits: ap = 83, w1 = 4245.367, w2 = 4155.905, dw = -0.05422, nw = 1651 140727.0036.ec.fits: ap = 84, w1 = 4214.157, w2 = 4125.357, dw = -0.05382, nw = 1651 140727.0036.ec.fits: ap = 85, w1 = 4183.403, w2 = 4095.254, dw = -0.05342, nw = 1651 140727.0036.ec.fits: ap = 86, w1 = 4153.095, w2 = 4065.587, dw = -0.05303, nw = 1651 140727.0036.ec.fits: ap = 87, w1 = 4123.222, w2 = 4036.347, dw = -0.05265, nw = 1651 140727.0036.ec.fits: ap = 88, w1 = 4093.776, w2 = 4007.525, dw = -0.05227, nw = 1651 140727.0036.ec.fits: ap = 89, w1 = 4064.748, w2 = 3979.112, dw = -0.0519, nw = 1651 140727.0036.ec.fits: ap = 90, w1 = 4036.128, w2 = 3951.099, dw = -0.05153, nw = 1651 140727.0036.ec.fits: ap = 91, w1 = 4007.908, w2 = 3923.477, dw = -0.05117, nw = 1651 140727.0036.ec.fits: ap = 92, w1 = 3980.08, w2 = 3896.24, dw = -0.05081, nw = 1651 140727.0036.ec.fits: ap = 93, w1 = 3952.635, w2 = 3869.377, dw = -0.05046, nw = 1651 140727.0036.ec.fits: ap = 94, w1 = 3925.566, w2 = 3842.883, dw = -0.05011, nw = 1651 140727.0036.ec.fits: ap = 95, w1 = 3898.865, w2 = 3816.749, dw = -0.04977, nw = 1651 140727.0036.ec.fits: ap = 96, w1 = 3872.525, w2 = 3790.968, dw = -0.04943, nw = 1651 140727.0036.ec.fits: ap = 97, w1 = 3846.537, w2 = 3765.533, dw = -0.04909, nw = 1651 140727.0036.ec.fits: ap = 98, w1 = 3820.896, w2 = 3740.437, dw = -0.04876, nw = 1651 140727.0036.ec.fits: ap = 99, w1 = 3795.594, w2 = 3715.673, dw = -0.04844, nw = 1651 140727.0036.ec.fits: ap = 100, w1 = 3770.625, w2 = 3691.235, dw = -0.04812, nw = 1651 140727.0036.ec.fits: ap = 101, w1 = 3745.982, w2 = 3667.117, dw = -0.0478, nw = 1651 140727.0036.ec.fits: ap = 102, w1 = 3721.658, w2 = 3643.311, dw = -0.04748, nw = 1651 140727.0036.ec.fits: ap = 103, w1 = 3697.648, w2 = 3619.812, dw = -0.04717, nw = 1651 140727.0036.ec.fits: ap = 104, w1 = 3673.946, w2 = 3596.615, dw = -0.04687, nw = 1651 140727.0036.ec.fits: ap = 105, w1 = 3650.544, w2 = 3573.713, dw = -0.04656, nw = 1651 140727.0036.ec.fits: ap = 106, w1 = 3627.439, w2 = 3551.1, dw = -0.04627, nw = 1651 140727.0036.ec.fits: ap = 107, w1 = 3604.623, w2 = 3528.772, dw = -0.04597, nw = 1651 140727.0036.ec.fits: ap = 108, w1 = 3582.093, w2 = 3506.723, dw = -0.04568, nw = 1651 140727.0036.ec.fits: ap = 109, w1 = 3559.842, w2 = 3484.947, dw = -0.04539, nw = 1651 140727.0036.ec.fits: ap = 110, w1 = 3537.865, w2 = 3463.44, dw = -0.04511, nw = 1651 140727.0036.ec.fits: ap = 111, w1 = 3516.157, w2 = 3442.197, dw = -0.04482, nw = 1651 140727.0036.ec.fits: ap = 112, w1 = 3494.713, w2 = 3421.213, dw = -0.04455, nw = 1651 140727.0036.ec.fits: ap = 113, w1 = 3473.528, w2 = 3400.482, dw = -0.04427, nw = 1651 140727.0036.ec.fits: ap = 114, w1 = 3452.598, w2 = 3380.001, dw = -0.044, nw = 1651 140727.0036.ec.fits: ap = 115, w1 = 3431.919, w2 = 3359.765, dw = -0.04373, nw = 1651 140727.0037.ec.fits: REFSPEC1 = 'EchelleThAr.0033.ec 0.13571392' 140727.0037.ec.fits: REFSPEC2 = 'EchelleThAr.0038.ec 0.86428607' 140727.0037.ec.fits: ap = 1, w1 = 10812.28, w2 = 10584.15, dw = -0.13826, nw = 1651 140727.0037.ec.fits: ap = 2, w1 = 10612.08, w2 = 10388.17, dw = -0.1357, nw = 1651 140727.0037.ec.fits: ap = 3, w1 = 10419.15, w2 = 10199.32, dw = -0.13323, nw = 1651 140727.0037.ec.fits: ap = 4, w1 = 10233.12, w2 = 10017.21, dw = -0.13086, nw = 1651 140727.0037.ec.fits: ap = 5, w1 = 10053.61, w2 = 9841.487, dw = -0.12856, nw = 1651 140727.0037.ec.fits: ap = 6, w1 = 9880.294, w2 = 9671.825, dw = -0.12635, nw = 1651 140727.0037.ec.fits: ap = 7, w1 = 9712.851, w2 = 9507.914, dw = -0.1242, nw = 1651 140727.0037.ec.fits: ap = 8, w1 = 9550.988, w2 = 9349.466, dw = -0.12213, nw = 1651 140727.0037.ec.fits: ap = 9, w1 = 9394.431, w2 = 9196.213, dw = -0.12013, nw = 1651 140727.0037.ec.fits: ap = 10, w1 = 9242.924, w2 = 9047.903, dw = -0.11819, nw = 1651 140727.0037.ec.fits: ap = 11, w1 = 9096.226, w2 = 8904.302, dw = -0.11632, nw = 1651 140727.0037.ec.fits: ap = 12, w1 = 8954.112, w2 = 8765.187, dw = -0.1145, nw = 1651 140727.0037.ec.fits: ap = 13, w1 = 8816.37, w2 = 8630.353, dw = -0.11274, nw = 1651 140727.0037.ec.fits: ap = 14, w1 = 8682.801, w2 = 8499.604, dw = -0.11103, nw = 1651 140727.0037.ec.fits: ap = 15, w1 = 8553.22, w2 = 8372.759, dw = -0.10937, nw = 1651 140727.0037.ec.fits: ap = 16, w1 = 8427.449, w2 = 8249.643, dw = -0.10776, nw = 1651 140727.0037.ec.fits: ap = 17, w1 = 8305.324, w2 = 8130.096, dw = -0.1062, nw = 1651 140727.0037.ec.fits: ap = 18, w1 = 8186.687, w2 = 8013.965, dw = -0.10468, nw = 1651 140727.0037.ec.fits: ap = 19, w1 = 8071.392, w2 = 7901.105, dw = -0.1032, nw = 1651 140727.0037.ec.fits: ap = 20, w1 = 7959.3, w2 = 7791.38, dw = -0.10177, nw = 1651 140727.0037.ec.fits: ap = 21, w1 = 7850.278, w2 = 7684.66, dw = -0.10037, nw = 1651 140727.0037.ec.fits: ap = 22, w1 = 7744.203, w2 = 7580.826, dw = -0.09902, nw = 1651 140727.0037.ec.fits: ap = 23, w1 = 7640.956, w2 = 7479.759, dw = -0.0977, nw = 1651 140727.0037.ec.fits: ap = 24, w1 = 7540.427, w2 = 7381.353, dw = -0.09641, nw = 1651 140727.0037.ec.fits: ap = 25, w1 = 7442.508, w2 = 7285.502, dw = -0.09515, nw = 1651 140727.0037.ec.fits: ap = 26, w1 = 7347.1, w2 = 7192.11, dw = -0.09393, nw = 1651 140727.0037.ec.fits: ap = 27, w1 = 7254.107, w2 = 7101.081, dw = -0.09274, nw = 1651 140727.0037.ec.fits: ap = 28, w1 = 7163.439, w2 = 7012.329, dw = -0.09158, nw = 1651 140727.0037.ec.fits: ap = 29, w1 = 7075.01, w2 = 6925.767, dw = -0.09045, nw = 1651 140727.0037.ec.fits: ap = 30, w1 = 6988.738, w2 = 6841.317, dw = -0.08935, nw = 1651 140727.0037.ec.fits: ap = 31, w1 = 6904.545, w2 = 6758.902, dw = -0.08827, nw = 1651 140727.0037.ec.fits: ap = 32, w1 = 6822.356, w2 = 6678.45, dw = -0.08722, nw = 1651 140727.0037.ec.fits: ap = 33, w1 = 6742.101, w2 = 6599.89, dw = -0.08619, nw = 1651 140727.0037.ec.fits: ap = 34, w1 = 6663.713, w2 = 6523.157, dw = -0.08519, nw = 1651 140727.0037.ec.fits: ap = 35, w1 = 6587.126, w2 = 6448.189, dw = -0.0842, nw = 1651 140727.0037.ec.fits: ap = 36, w1 = 6512.281, w2 = 6374.924, dw = -0.08325, nw = 1651 140727.0037.ec.fits: ap = 37, w1 = 6439.117, w2 = 6303.306, dw = -0.08231, nw = 1651 140727.0037.ec.fits: ap = 38, w1 = 6367.579, w2 = 6233.279, dw = -0.08139, nw = 1651 140727.0037.ec.fits: ap = 39, w1 = 6297.614, w2 = 6164.792, dw = -0.0805, nw = 1651 140727.0037.ec.fits: ap = 40, w1 = 6229.17, w2 = 6097.793, dw = -0.07962, nw = 1651 140727.0037.ec.fits: ap = 41, w1 = 6162.198, w2 = 6032.235, dw = -0.07876, nw = 1651 140727.0037.ec.fits: ap = 42, w1 = 6096.65, w2 = 5968.073, dw = -0.07793, nw = 1651 140727.0037.ec.fits: ap = 43, w1 = 6032.483, w2 = 5905.261, dw = -0.0771, nw = 1651 140727.0037.ec.fits: ap = 44, w1 = 5969.653, w2 = 5843.758, dw = -0.0763, nw = 1651 140727.0037.ec.fits: ap = 45, w1 = 5908.119, w2 = 5783.523, dw = -0.07551, nw = 1651 140727.0037.ec.fits: ap = 46, w1 = 5847.84, w2 = 5724.517, dw = -0.07474, nw = 1651 140727.0037.ec.fits: ap = 47, w1 = 5788.78, w2 = 5666.704, dw = -0.07399, nw = 1651 140727.0037.ec.fits: ap = 48, w1 = 5730.9, w2 = 5610.047, dw = -0.07324, nw = 1651 140727.0037.ec.fits: ap = 49, w1 = 5674.167, w2 = 5554.512, dw = -0.07252, nw = 1651 140727.0037.ec.fits: ap = 50, w1 = 5618.546, w2 = 5500.066, dw = -0.07181, nw = 1651 140727.0037.ec.fits: ap = 51, w1 = 5564.006, w2 = 5446.677, dw = -0.07111, nw = 1651 140727.0037.ec.fits: ap = 52, w1 = 5510.515, w2 = 5394.316, dw = -0.07042, nw = 1651 140727.0037.ec.fits: ap = 53, w1 = 5458.042, w2 = 5342.951, dw = -0.06975, nw = 1651 140727.0037.ec.fits: ap = 54, w1 = 5406.56, w2 = 5292.556, dw = -0.06909, nw = 1651 140727.0037.ec.fits: ap = 55, w1 = 5356.04, w2 = 5243.103, dw = -0.06845, nw = 1651 140727.0037.ec.fits: ap = 56, w1 = 5306.455, w2 = 5194.566, dw = -0.06781, nw = 1651 140727.0037.ec.fits: ap = 57, w1 = 5257.781, w2 = 5146.919, dw = -0.06719, nw = 1651 140727.0037.ec.fits: ap = 58, w1 = 5209.992, w2 = 5100.139, dw = -0.06658, nw = 1651 140727.0037.ec.fits: ap = 59, w1 = 5163.063, w2 = 5054.202, dw = -0.06598, nw = 1651 140727.0037.ec.fits: ap = 60, w1 = 5116.973, w2 = 5009.086, dw = -0.06539, nw = 1651 140727.0037.ec.fits: ap = 61, w1 = 5071.699, w2 = 4964.768, dw = -0.06481, nw = 1651 140727.0037.ec.fits: ap = 62, w1 = 5027.219, w2 = 4921.227, dw = -0.06424, nw = 1651 140727.0037.ec.fits: ap = 63, w1 = 4983.513, w2 = 4878.444, dw = -0.06368, nw = 1651 140727.0037.ec.fits: ap = 64, w1 = 4940.56, w2 = 4836.398, dw = -0.06313, nw = 1651 140727.0037.ec.fits: ap = 65, w1 = 4898.341, w2 = 4795.072, dw = -0.06259, nw = 1651 140727.0037.ec.fits: ap = 66, w1 = 4856.838, w2 = 4754.446, dw = -0.06206, nw = 1651 140727.0037.ec.fits: ap = 67, w1 = 4816.033, w2 = 4714.502, dw = -0.06153, nw = 1651 140727.0037.ec.fits: ap = 68, w1 = 4775.908, w2 = 4675.225, dw = -0.06102, nw = 1651 140727.0037.ec.fits: ap = 69, w1 = 4736.445, w2 = 4636.597, dw = -0.06051, nw = 1651 140727.0037.ec.fits: ap = 70, w1 = 4697.63, w2 = 4598.602, dw = -0.06002, nw = 1651 140727.0037.ec.fits: ap = 71, w1 = 4659.446, w2 = 4561.225, dw = -0.05953, nw = 1651 140727.0037.ec.fits: ap = 72, w1 = 4621.877, w2 = 4524.45, dw = -0.05905, nw = 1651 140727.0037.ec.fits: ap = 73, w1 = 4584.91, w2 = 4488.265, dw = -0.05857, nw = 1651 140727.0037.ec.fits: ap = 74, w1 = 4548.529, w2 = 4452.653, dw = -0.05811, nw = 1651 140727.0037.ec.fits: ap = 75, w1 = 4512.722, w2 = 4417.603, dw = -0.05765, nw = 1651 140727.0037.ec.fits: ap = 76, w1 = 4477.473, w2 = 4383.1, dw = -0.0572, nw = 1651 140727.0037.ec.fits: ap = 77, w1 = 4442.771, w2 = 4349.132, dw = -0.05675, nw = 1651 140727.0037.ec.fits: ap = 78, w1 = 4408.603, w2 = 4315.686, dw = -0.05631, nw = 1651 140727.0037.ec.fits: ap = 79, w1 = 4374.956, w2 = 4282.752, dw = -0.05588, nw = 1651 140727.0037.ec.fits: ap = 80, w1 = 4341.818, w2 = 4250.316, dw = -0.05546, nw = 1651 140727.0037.ec.fits: ap = 81, w1 = 4309.179, w2 = 4218.368, dw = -0.05504, nw = 1651 140727.0037.ec.fits: ap = 82, w1 = 4277.027, w2 = 4186.897, dw = -0.05462, nw = 1651 140727.0037.ec.fits: ap = 83, w1 = 4245.351, w2 = 4155.892, dw = -0.05422, nw = 1651 140727.0037.ec.fits: ap = 84, w1 = 4214.14, w2 = 4125.343, dw = -0.05382, nw = 1651 140727.0037.ec.fits: ap = 85, w1 = 4183.385, w2 = 4095.24, dw = -0.05342, nw = 1651 140727.0037.ec.fits: ap = 86, w1 = 4153.075, w2 = 4065.573, dw = -0.05303, nw = 1651 140727.0037.ec.fits: ap = 87, w1 = 4123.201, w2 = 4036.333, dw = -0.05265, nw = 1651 140727.0037.ec.fits: ap = 88, w1 = 4093.754, w2 = 4007.51, dw = -0.05227, nw = 1651 140727.0037.ec.fits: ap = 89, w1 = 4064.723, w2 = 3979.096, dw = -0.0519, nw = 1651 140727.0037.ec.fits: ap = 90, w1 = 4036.102, w2 = 3951.083, dw = -0.05153, nw = 1651 140727.0037.ec.fits: ap = 91, w1 = 4007.88, w2 = 3923.461, dw = -0.05116, nw = 1651 140727.0037.ec.fits: ap = 92, w1 = 3980.05, w2 = 3896.222, dw = -0.0508, nw = 1651 140727.0037.ec.fits: ap = 93, w1 = 3952.603, w2 = 3869.36, dw = -0.05045, nw = 1651 140727.0037.ec.fits: ap = 94, w1 = 3925.532, w2 = 3842.865, dw = -0.0501, nw = 1651 140727.0037.ec.fits: ap = 95, w1 = 3898.829, w2 = 3816.73, dw = -0.04976, nw = 1651 140727.0037.ec.fits: ap = 96, w1 = 3872.486, w2 = 3790.949, dw = -0.04942, nw = 1651 140727.0037.ec.fits: ap = 97, w1 = 3846.496, w2 = 3765.513, dw = -0.04908, nw = 1651 140727.0037.ec.fits: ap = 98, w1 = 3820.853, w2 = 3740.416, dw = -0.04875, nw = 1651 140727.0037.ec.fits: ap = 99, w1 = 3795.548, w2 = 3715.652, dw = -0.04842, nw = 1651 140727.0037.ec.fits: ap = 100, w1 = 3770.576, w2 = 3691.213, dw = -0.0481, nw = 1651 140727.0037.ec.fits: ap = 101, w1 = 3745.929, w2 = 3667.094, dw = -0.04778, nw = 1651 140727.0037.ec.fits: ap = 102, w1 = 3721.603, w2 = 3643.287, dw = -0.04746, nw = 1651 140727.0037.ec.fits: ap = 103, w1 = 3697.589, w2 = 3619.788, dw = -0.04715, nw = 1651 140727.0037.ec.fits: ap = 104, w1 = 3673.883, w2 = 3596.589, dw = -0.04684, nw = 1651 140727.0037.ec.fits: ap = 105, w1 = 3650.478, w2 = 3573.686, dw = -0.04654, nw = 1651 140727.0037.ec.fits: ap = 106, w1 = 3627.368, w2 = 3551.073, dw = -0.04624, nw = 1651 140727.0037.ec.fits: ap = 107, w1 = 3604.549, w2 = 3528.744, dw = -0.04594, nw = 1651 140727.0037.ec.fits: ap = 108, w1 = 3582.014, w2 = 3506.693, dw = -0.04565, nw = 1651 140727.0037.ec.fits: ap = 109, w1 = 3559.758, w2 = 3484.917, dw = -0.04536, nw = 1651 140727.0037.ec.fits: ap = 110, w1 = 3537.776, w2 = 3463.409, dw = -0.04507, nw = 1651 140727.0037.ec.fits: ap = 111, w1 = 3516.064, w2 = 3442.164, dw = -0.04479, nw = 1651 140727.0037.ec.fits: ap = 112, w1 = 3494.615, w2 = 3421.178, dw = -0.04451, nw = 1651 140727.0037.ec.fits: ap = 113, w1 = 3473.425, w2 = 3400.447, dw = -0.04423, nw = 1651 140727.0037.ec.fits: ap = 114, w1 = 3452.49, w2 = 3379.965, dw = -0.04395, nw = 1651 140727.0037.ec.fits: ap = 115, w1 = 3431.805, w2 = 3359.727, dw = -0.04368, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10812.3, w2 = 10584.18, dw = -0.13825, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10612.08, w2 = 10388.19, dw = -0.13569, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10419.15, w2 = 10199.33, dw = -0.13323, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10233.11, w2 = 10017.21, dw = -0.13085, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.6, w2 = 9841.477, dw = -0.12856, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9880.275, w2 = 9671.809, dw = -0.12634, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.826, w2 = 9507.892, dw = -0.1242, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.959, w2 = 9349.439, dw = -0.12213, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9394.398, w2 = 9196.182, dw = -0.12013, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.888, w2 = 9047.868, dw = -0.11819, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9096.188, w2 = 8904.264, dw = -0.11632, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8954.071, w2 = 8765.147, dw = -0.1145, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8816.328, w2 = 8630.311, dw = -0.11274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.758, w2 = 8499.561, dw = -0.11103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8553.175, w2 = 8372.714, dw = -0.10937, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8427.404, w2 = 8249.599, dw = -0.10776, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8305.277, w2 = 8130.052, dw = -0.1062, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.64, w2 = 8013.92, dw = -0.10468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8071.345, w2 = 7901.06, dw = -0.1032, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7959.253, w2 = 7791.336, dw = -0.10177, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7850.231, w2 = 7684.617, dw = -0.10037, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7744.156, w2 = 7580.783, dw = -0.09901, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.91, w2 = 7479.718, dw = -0.09769, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7540.38, w2 = 7381.312, dw = -0.0964, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.462, w2 = 7285.463, dw = -0.09515, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7347.054, w2 = 7192.071, dw = -0.09393, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7254.062, w2 = 7101.044, dw = -0.09274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.394, w2 = 7012.292, dw = -0.09158, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.966, w2 = 6925.732, dw = -0.09044, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.694, w2 = 6841.283, dw = -0.08934, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.501, w2 = 6758.87, dw = -0.08826, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6822.312, w2 = 6678.418, dw = -0.08721, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6742.058, w2 = 6599.859, dw = -0.08618, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.67, w2 = 6523.128, dw = -0.08518, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6587.083, w2 = 6448.16, dw = -0.0842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6512.238, w2 = 6374.896, dw = -0.08324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6439.075, w2 = 6303.278, dw = -0.0823, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.537, w2 = 6233.252, dw = -0.08138, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.572, w2 = 6164.766, dw = -0.08049, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6229.127, w2 = 6097.767, dw = -0.07961, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6162.155, w2 = 6032.21, dw = -0.07875, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.608, w2 = 5968.048, dw = -0.07792, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.441, w2 = 5905.236, dw = -0.07709, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.611, w2 = 5843.733, dw = -0.07629, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5908.076, w2 = 5783.499, dw = -0.0755, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.797, w2 = 5724.493, dw = -0.07473, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.736, w2 = 5666.68, dw = -0.07397, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.856, w2 = 5610.022, dw = -0.07323, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5674.123, w2 = 5554.487, dw = -0.07251, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.502, w2 = 5500.041, dw = -0.07179, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.961, w2 = 5446.652, dw = -0.0711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.469, w2 = 5394.29, dw = -0.07041, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.996, w2 = 5342.925, dw = -0.06974, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.514, w2 = 5292.53, dw = -0.06908, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.993, w2 = 5243.076, dw = -0.06843, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.409, w2 = 5194.538, dw = -0.0678, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.734, w2 = 5146.891, dw = -0.06718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.944, w2 = 5100.111, dw = -0.06657, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5163.016, w2 = 5054.173, dw = -0.06597, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.926, w2 = 5009.056, dw = -0.06538, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.651, w2 = 4964.738, dw = -0.0648, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5027.171, w2 = 4921.197, dw = -0.06423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.465, w2 = 4878.413, dw = -0.06367, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.512, w2 = 4836.367, dw = -0.06312, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.294, w2 = 4795.041, dw = -0.06258, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.791, w2 = 4754.414, dw = -0.06205, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.986, w2 = 4714.471, dw = -0.06152, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.861, w2 = 4675.194, dw = -0.06101, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.4, w2 = 4636.565, dw = -0.06051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.585, w2 = 4598.571, dw = -0.06001, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.402, w2 = 4561.194, dw = -0.05952, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.835, w2 = 4524.421, dw = -0.05904, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.869, w2 = 4488.236, dw = -0.05857, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.49, w2 = 4452.625, dw = -0.0581, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.683, w2 = 4417.576, dw = -0.05764, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.437, w2 = 4383.074, dw = -0.05719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.737, w2 = 4349.108, dw = -0.05674, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.571, w2 = 4315.664, dw = -0.05631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.926, w2 = 4282.732, dw = -0.05588, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.792, w2 = 4250.298, dw = -0.05545, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4309.156, w2 = 4218.353, dw = -0.05503, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4277.007, w2 = 4186.884, dw = -0.05462, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.335, w2 = 4155.883, dw = -0.05421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4214.128, w2 = 4125.337, dw = -0.05381, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.377, w2 = 4095.238, dw = -0.05342, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4153.072, w2 = 4065.575, dw = -0.05303, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.203, w2 = 4036.339, dw = -0.05264, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.761, w2 = 4007.522, dw = -0.05227, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.736, w2 = 3979.113, dw = -0.05189, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4036.121, w2 = 3951.105, dw = -0.05152, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.905, w2 = 3923.489, dw = -0.05116, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3980.082, w2 = 3896.257, dw = -0.0508, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.643, w2 = 3869.401, dw = -0.05045, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.579, w2 = 3842.914, dw = -0.0501, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.884, w2 = 3816.787, dw = -0.04976, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.55, w2 = 3791.014, dw = -0.04942, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.569, w2 = 3765.587, dw = -0.04908, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.935, w2 = 3740.5, dw = -0.04875, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.64, w2 = 3715.746, dw = -0.04842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.678, w2 = 3691.317, dw = -0.0481, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3746.043, w2 = 3667.209, dw = -0.04778, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.727, w2 = 3643.414, dw = -0.04746, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.726, w2 = 3619.927, dw = -0.04715, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3674.032, w2 = 3596.741, dw = -0.04684, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.64, w2 = 3573.852, dw = -0.04654, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.545, w2 = 3551.253, dw = -0.04624, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.74, w2 = 3528.938, dw = -0.04594, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.22, w2 = 3506.903, dw = -0.04565, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.979, w2 = 3485.143, dw = -0.04536, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3538.014, w2 = 3463.652, dw = -0.04507, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.318, w2 = 3442.425, dw = -0.04478, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.887, w2 = 3421.458, dw = -0.0445, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.715, w2 = 3400.745, dw = -0.04422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.799, w2 = 3380.283, dw = -0.04395, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3432.133, w2 = 3360.066, dw = -0.04368, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10812.25, w2 = 10584.13, dw = -0.13826, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10612.05, w2 = 10388.15, dw = -0.1357, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10419.12, w2 = 10199.29, dw = -0.13323, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10233.08, w2 = 10017.18, dw = -0.13085, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.57, w2 = 9841.454, dw = -0.12855, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9880.247, w2 = 9671.79, dw = -0.12634, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.801, w2 = 9507.878, dw = -0.1242, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.935, w2 = 9349.429, dw = -0.12213, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9394.377, w2 = 9196.175, dw = -0.12012, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.869, w2 = 9047.865, dw = -0.11818, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9096.17, w2 = 8904.263, dw = -0.11631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8954.055, w2 = 8765.148, dw = -0.11449, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8816.313, w2 = 8630.314, dw = -0.11273, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.745, w2 = 8499.566, dw = -0.11102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8553.164, w2 = 8372.72, dw = -0.10936, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8427.393, w2 = 8249.605, dw = -0.10775, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8305.269, w2 = 8130.059, dw = -0.10619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.633, w2 = 8013.929, dw = -0.10467, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8071.339, w2 = 7901.069, dw = -0.10319, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7959.248, w2 = 7791.345, dw = -0.10176, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7850.227, w2 = 7684.627, dw = -0.10036, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7744.153, w2 = 7580.793, dw = -0.09901, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.908, w2 = 7479.727, dw = -0.09769, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7540.379, w2 = 7381.322, dw = -0.0964, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.462, w2 = 7285.472, dw = -0.09515, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7347.055, w2 = 7192.081, dw = -0.09392, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7254.064, w2 = 7101.053, dw = -0.09273, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.398, w2 = 7012.302, dw = -0.09157, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.97, w2 = 6925.741, dw = -0.09044, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.699, w2 = 6841.292, dw = -0.08934, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.507, w2 = 6758.878, dw = -0.08826, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6822.319, w2 = 6678.426, dw = -0.08721, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6742.065, w2 = 6599.867, dw = -0.08618, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.678, w2 = 6523.136, dw = -0.08518, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6587.093, w2 = 6448.168, dw = -0.0842, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6512.248, w2 = 6374.904, dw = -0.08324, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6439.086, w2 = 6303.286, dw = -0.0823, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.549, w2 = 6233.26, dw = -0.08139, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.584, w2 = 6164.774, dw = -0.08049, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6229.141, w2 = 6097.776, dw = -0.07962, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6162.169, w2 = 6032.218, dw = -0.07876, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.623, w2 = 5968.056, dw = -0.07792, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.456, w2 = 5905.245, dw = -0.0771, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.627, w2 = 5843.742, dw = -0.07629, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5908.093, w2 = 5783.507, dw = -0.07551, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.814, w2 = 5724.502, dw = -0.07473, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.754, w2 = 5666.689, dw = -0.07398, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.875, w2 = 5610.032, dw = -0.07324, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5674.142, w2 = 5554.497, dw = -0.07251, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.521, w2 = 5500.052, dw = -0.0718, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.981, w2 = 5446.663, dw = -0.0711, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.49, w2 = 5394.301, dw = -0.07042, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5458.017, w2 = 5342.937, dw = -0.06975, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.535, w2 = 5292.542, dw = -0.06909, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5356.015, w2 = 5243.088, dw = -0.06844, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.43, w2 = 5194.551, dw = -0.06781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.756, w2 = 5146.905, dw = -0.06718, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.966, w2 = 5100.124, dw = -0.06657, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5163.038, w2 = 5054.187, dw = -0.06597, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.947, w2 = 5009.07, dw = -0.06538, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.673, w2 = 4964.752, dw = -0.0648, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5027.193, w2 = 4921.211, dw = -0.06423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.486, w2 = 4878.428, dw = -0.06367, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.533, w2 = 4836.382, dw = -0.06312, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.315, w2 = 4795.056, dw = -0.06258, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.812, w2 = 4754.429, dw = -0.06205, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4816.006, w2 = 4714.486, dw = -0.06153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.881, w2 = 4675.208, dw = -0.06101, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.419, w2 = 4636.58, dw = -0.06051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.604, w2 = 4598.585, dw = -0.06001, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.42, w2 = 4561.208, dw = -0.05952, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.851, w2 = 4524.434, dw = -0.05904, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.884, w2 = 4488.248, dw = -0.05857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.504, w2 = 4452.637, dw = -0.0581, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.697, w2 = 4417.586, dw = -0.05764, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.449, w2 = 4383.083, dw = -0.05719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.748, w2 = 4349.116, dw = -0.05675, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.58, w2 = 4315.671, dw = -0.05631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.934, w2 = 4282.736, dw = -0.05588, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.798, w2 = 4250.301, dw = -0.05545, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4309.16, w2 = 4218.354, dw = -0.05503, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4277.009, w2 = 4186.883, dw = -0.05462, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.335, w2 = 4155.879, dw = -0.05422, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4214.126, w2 = 4125.331, dw = -0.05382, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.373, w2 = 4095.229, dw = -0.05342, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4153.065, w2 = 4065.563, dw = -0.05303, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4123.194, w2 = 4036.324, dw = -0.05265, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.749, w2 = 4007.502, dw = -0.05227, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.721, w2 = 3979.09, dw = -0.0519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4036.103, w2 = 3951.078, dw = -0.05153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.884, w2 = 3923.458, dw = -0.05117, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3980.057, w2 = 3896.221, dw = -0.05081, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.615, w2 = 3869.36, dw = -0.05046, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.547, w2 = 3842.868, dw = -0.05011, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.848, w2 = 3816.735, dw = -0.04977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.956, dw = -0.04943, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.525, w2 = 3765.523, dw = -0.04909, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.887, w2 = 3740.429, dw = -0.04876, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.587, w2 = 3715.668, dw = -0.04844, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.621, w2 = 3691.232, dw = -0.04811, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.981, w2 = 3667.116, dw = -0.0478, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.66, w2 = 3643.313, dw = -0.04748, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.653, w2 = 3619.817, dw = -0.04717, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.954, w2 = 3596.623, dw = -0.04687, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.557, w2 = 3573.724, dw = -0.04657, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.455, w2 = 3551.115, dw = -0.04627, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.644, w2 = 3528.79, dw = -0.04597, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3582.117, w2 = 3506.745, dw = -0.04568, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.871, w2 = 3484.973, dw = -0.04539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.899, w2 = 3463.47, dw = -0.04511, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.196, w2 = 3442.232, dw = -0.04483, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.757, w2 = 3421.252, dw = -0.04455, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.578, w2 = 3400.526, dw = -0.04427, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.654, w2 = 3380.05, dw = -0.044, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.98, w2 = 3359.82, dw = -0.04373, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10812.28, w2 = 10584.13, dw = -0.13827, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10612.07, w2 = 10388.15, dw = -0.13571, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.3, dw = -0.13324, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.19, dw = -0.13086, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10053.59, w2 = 9841.465, dw = -0.12856, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9880.27, w2 = 9671.803, dw = -0.12634, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.822, w2 = 9507.891, dw = -0.1242, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.956, w2 = 9349.443, dw = -0.12213, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9394.397, w2 = 9196.19, dw = -0.12013, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.888, w2 = 9047.88, dw = -0.11819, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9096.188, w2 = 8904.279, dw = -0.11631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8954.073, w2 = 8765.164, dw = -0.11449, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8816.33, w2 = 8630.33, dw = -0.11273, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.761, w2 = 8499.582, dw = -0.11102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8553.179, w2 = 8372.736, dw = -0.10936, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8427.408, w2 = 8249.621, dw = -0.10775, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8305.283, w2 = 8130.074, dw = -0.10619, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.646, w2 = 8013.943, dw = -0.10467, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8071.352, w2 = 7901.083, dw = -0.10319, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7959.26, w2 = 7791.358, dw = -0.10176, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7850.239, w2 = 7684.64, dw = -0.10036, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7744.164, w2 = 7580.805, dw = -0.09901, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.918, w2 = 7479.739, dw = -0.09768, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7540.389, w2 = 7381.333, dw = -0.0964, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7442.472, w2 = 7285.483, dw = -0.09514, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7347.064, w2 = 7192.091, dw = -0.09392, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7254.073, w2 = 7101.063, dw = -0.09273, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7163.406, w2 = 7012.31, dw = -0.09157, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.977, w2 = 6925.749, dw = -0.09044, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.706, w2 = 6841.3, dw = -0.08934, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.513, w2 = 6758.885, dw = -0.08826, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6822.325, w2 = 6678.433, dw = -0.08721, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6742.071, w2 = 6599.873, dw = -0.08618, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.683, w2 = 6523.141, dw = -0.08518, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6587.098, w2 = 6448.173, dw = -0.0842, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6512.253, w2 = 6374.908, dw = -0.08324, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6439.09, w2 = 6303.29, dw = -0.0823, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.552, w2 = 6233.264, dw = -0.08139, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.588, w2 = 6164.776, dw = -0.08049, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6229.144, w2 = 6097.778, dw = -0.07962, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6162.172, w2 = 6032.221, dw = -0.07876, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.625, w2 = 5968.058, dw = -0.07792, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.458, w2 = 5905.247, dw = -0.0771, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.629, w2 = 5843.744, dw = -0.07629, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5908.094, w2 = 5783.509, dw = -0.07551, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.816, w2 = 5724.503, dw = -0.07473, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.755, w2 = 5666.69, dw = -0.07398, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.876, w2 = 5610.033, dw = -0.07324, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5674.143, w2 = 5554.498, dw = -0.07251, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.522, w2 = 5500.052, dw = -0.0718, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.982, w2 = 5446.664, dw = -0.0711, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.49, w2 = 5394.302, dw = -0.07042, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5458.017, w2 = 5342.938, dw = -0.06975, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.535, w2 = 5292.543, dw = -0.06909, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5356.015, w2 = 5243.09, dw = -0.06844, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.431, w2 = 5194.553, dw = -0.0678, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.756, w2 = 5146.906, dw = -0.06718, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.967, w2 = 5100.126, dw = -0.06657, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5163.038, w2 = 5054.189, dw = -0.06597, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.948, w2 = 5009.073, dw = -0.06538, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.674, w2 = 4964.755, dw = -0.0648, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5027.194, w2 = 4921.215, dw = -0.06423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.488, w2 = 4878.432, dw = -0.06367, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.535, w2 = 4836.386, dw = -0.06312, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4898.317, w2 = 4795.06, dw = -0.06258, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.814, w2 = 4754.434, dw = -0.06205, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4816.009, w2 = 4714.491, dw = -0.06153, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.884, w2 = 4675.214, dw = -0.06101, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.423, w2 = 4636.586, dw = -0.06051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.608, w2 = 4598.591, dw = -0.06001, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.425, w2 = 4561.215, dw = -0.05952, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.857, w2 = 4524.441, dw = -0.05904, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.891, w2 = 4488.256, dw = -0.05857, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.512, w2 = 4452.645, dw = -0.0581, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.705, w2 = 4417.595, dw = -0.05764, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.458, w2 = 4383.093, dw = -0.05719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.758, w2 = 4349.126, dw = -0.05675, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.591, w2 = 4315.681, dw = -0.05631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.947, w2 = 4282.747, dw = -0.05588, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.812, w2 = 4250.312, dw = -0.05545, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4309.175, w2 = 4218.365, dw = -0.05504, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4277.025, w2 = 4186.895, dw = -0.05462, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.352, w2 = 4155.891, dw = -0.05422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4214.145, w2 = 4125.343, dw = -0.05382, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.393, w2 = 4095.242, dw = -0.05343, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4153.087, w2 = 4065.576, dw = -0.05304, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4123.217, w2 = 4036.337, dw = -0.05265, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.774, w2 = 4007.516, dw = -0.05228, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.749, w2 = 3979.104, dw = -0.05191, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4036.132, w2 = 3951.092, dw = -0.05154, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.915, w2 = 3923.472, dw = -0.05118, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3980.091, w2 = 3896.236, dw = -0.05082, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.65, w2 = 3869.375, dw = -0.05047, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.585, w2 = 3842.882, dw = -0.05012, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.889, w2 = 3816.75, dw = -0.04978, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.553, w2 = 3790.971, dw = -0.04944, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.57, w2 = 3765.537, dw = -0.04911, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.934, w2 = 3740.443, dw = -0.04878, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.638, w2 = 3715.682, dw = -0.04846, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.674, w2 = 3691.246, dw = -0.04814, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3746.037, w2 = 3667.129, dw = -0.04782, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.719, w2 = 3643.326, dw = -0.04751, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.716, w2 = 3619.83, dw = -0.0472, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3674.02, w2 = 3596.635, dw = -0.0469, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.625, w2 = 3573.735, dw = -0.0466, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.527, w2 = 3551.125, dw = -0.0463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.72, w2 = 3528.8, dw = -0.04601, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3582.197, w2 = 3506.753, dw = -0.04572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.954, w2 = 3484.981, dw = -0.04544, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.986, w2 = 3463.477, dw = -0.04516, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3516.287, w2 = 3442.237, dw = -0.04488, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.852, w2 = 3421.256, dw = -0.0446, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.678, w2 = 3400.529, dw = -0.04433, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.758, w2 = 3380.051, dw = -0.04406, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3432.089, w2 = 3359.819, dw = -0.0438, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10812.32, w2 = 10584.16, dw = -0.13828, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10612.11, w2 = 10388.17, dw = -0.13572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10419.17, w2 = 10199.31, dw = -0.13325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10233.13, w2 = 10017.2, dw = -0.13087, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.62, w2 = 9841.478, dw = -0.12857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9880.289, w2 = 9671.813, dw = -0.12635, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.839, w2 = 9507.9, dw = -0.12421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.97, w2 = 9349.451, dw = -0.12213, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9394.409, w2 = 9196.196, dw = -0.12013, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.898, w2 = 9047.886, dw = -0.11819, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9096.196, w2 = 8904.283, dw = -0.11631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8954.079, w2 = 8765.168, dw = -0.11449, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8816.335, w2 = 8630.333, dw = -0.11273, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.765, w2 = 8499.584, dw = -0.11102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8553.182, w2 = 8372.738, dw = -0.10936, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8427.411, w2 = 8249.623, dw = -0.10775, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8305.284, w2 = 8130.076, dw = -0.10619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.648, w2 = 8013.945, dw = -0.10467, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8071.353, w2 = 7901.085, dw = -0.10319, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7959.26, w2 = 7791.361, dw = -0.10176, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7850.239, w2 = 7684.642, dw = -0.10036, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7744.165, w2 = 7580.808, dw = -0.099, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.919, w2 = 7479.742, dw = -0.09768, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7540.39, w2 = 7381.336, dw = -0.0964, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.472, w2 = 7285.486, dw = -0.09514, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7347.065, w2 = 7192.094, dw = -0.09392, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7254.073, w2 = 7101.066, dw = -0.09273, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.407, w2 = 7012.314, dw = -0.09157, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.979, w2 = 6925.754, dw = -0.09044, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.707, w2 = 6841.304, dw = -0.08934, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.515, w2 = 6758.89, dw = -0.08826, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6822.327, w2 = 6678.438, dw = -0.08721, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6742.074, w2 = 6599.879, dw = -0.08618, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.686, w2 = 6523.147, dw = -0.08518, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6587.101, w2 = 6448.179, dw = -0.0842, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6512.256, w2 = 6374.915, dw = -0.08324, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6439.094, w2 = 6303.297, dw = -0.0823, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.557, w2 = 6233.271, dw = -0.08139, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.592, w2 = 6164.783, dw = -0.08049, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6229.149, w2 = 6097.785, dw = -0.07961, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6162.177, w2 = 6032.228, dw = -0.07876, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.631, w2 = 5968.066, dw = -0.07792, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.464, w2 = 5905.254, dw = -0.0771, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.634, w2 = 5843.751, dw = -0.07629, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5908.1, w2 = 5783.516, dw = -0.07551, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.822, w2 = 5724.511, dw = -0.07473, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.761, w2 = 5666.697, dw = -0.07398, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.882, w2 = 5610.04, dw = -0.07324, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5674.149, w2 = 5554.505, dw = -0.07251, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.529, w2 = 5500.059, dw = -0.0718, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.988, w2 = 5446.671, dw = -0.0711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.497, w2 = 5394.309, dw = -0.07042, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5458.024, w2 = 5342.944, dw = -0.06975, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.542, w2 = 5292.549, dw = -0.06909, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5356.021, w2 = 5243.096, dw = -0.06844, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.437, w2 = 5194.558, dw = -0.06781, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.762, w2 = 5146.911, dw = -0.06718, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.973, w2 = 5100.131, dw = -0.06657, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5163.044, w2 = 5054.194, dw = -0.06597, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.954, w2 = 5009.077, dw = -0.06538, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.679, w2 = 4964.758, dw = -0.0648, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5027.199, w2 = 4921.217, dw = -0.06423, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.492, w2 = 4878.434, dw = -0.06367, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.539, w2 = 4836.388, dw = -0.06312, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.321, w2 = 4795.061, dw = -0.06258, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.818, w2 = 4754.435, dw = -0.06205, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4816.012, w2 = 4714.491, dw = -0.06153, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.887, w2 = 4675.213, dw = -0.06101, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.425, w2 = 4636.585, dw = -0.06051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.61, w2 = 4598.59, dw = -0.06001, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.426, w2 = 4561.212, dw = -0.05952, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.858, w2 = 4524.438, dw = -0.05904, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.891, w2 = 4488.252, dw = -0.05857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.511, w2 = 4452.641, dw = -0.0581, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.704, w2 = 4417.59, dw = -0.05764, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.456, w2 = 4383.087, dw = -0.05719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.755, w2 = 4349.119, dw = -0.05675, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.588, w2 = 4315.674, dw = -0.05631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.942, w2 = 4282.739, dw = -0.05588, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.806, w2 = 4250.304, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4309.169, w2 = 4218.356, dw = -0.05504, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4277.019, w2 = 4186.886, dw = -0.05463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.345, w2 = 4155.881, dw = -0.05422, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4214.137, w2 = 4125.333, dw = -0.05382, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.384, w2 = 4095.23, dw = -0.05343, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4153.077, w2 = 4065.564, dw = -0.05304, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4123.206, w2 = 4036.325, dw = -0.05266, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.762, w2 = 4007.503, dw = -0.05228, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.736, w2 = 3979.091, dw = -0.05191, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4036.118, w2 = 3951.078, dw = -0.05154, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.901, w2 = 3923.458, dw = -0.05118, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3980.076, w2 = 3896.221, dw = -0.05082, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.634, w2 = 3869.36, dw = -0.05047, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.569, w2 = 3842.867, dw = -0.05012, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.871, w2 = 3816.734, dw = -0.04978, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.534, w2 = 3790.954, dw = -0.04944, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.551, w2 = 3765.521, dw = -0.04911, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.914, w2 = 3740.427, dw = -0.04878, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.617, w2 = 3715.665, dw = -0.04846, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.653, w2 = 3691.229, dw = -0.04814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3746.015, w2 = 3667.112, dw = -0.04782, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.697, w2 = 3643.309, dw = -0.04751, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.692, w2 = 3619.813, dw = -0.0472, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.996, w2 = 3596.618, dw = -0.0469, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.601, w2 = 3573.718, dw = -0.0466, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.502, w2 = 3551.109, dw = -0.0463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.694, w2 = 3528.784, dw = -0.04601, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3582.171, w2 = 3506.738, dw = -0.04572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.927, w2 = 3484.966, dw = -0.04543, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.959, w2 = 3463.462, dw = -0.04515, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.259, w2 = 3442.223, dw = -0.04487, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.825, w2 = 3421.243, dw = -0.0446, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.65, w2 = 3400.516, dw = -0.04432, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.73, w2 = 3380.04, dw = -0.04405, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3432.06, w2 = 3359.809, dw = -0.04379, nw = 1651 EchelleThAr.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0026.ec 1.' zEchelleThAr.0026.ec.fits: ap = 1, w1 = 10812.41, w2 = 10584.26, dw = -0.13827, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 2, w1 = 10612.19, w2 = 10388.27, dw = -0.13571, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 3, w1 = 10419.26, w2 = 10199.4, dw = -0.13324, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 4, w1 = 10233.21, w2 = 10017.29, dw = -0.13086, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 5, w1 = 10053.69, w2 = 9841.56, dw = -0.12857, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 6, w1 = 9880.367, w2 = 9671.892, dw = -0.12635, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 7, w1 = 9712.916, w2 = 9507.976, dw = -0.12421, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 8, w1 = 9551.046, w2 = 9349.524, dw = -0.12213, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 9, w1 = 9394.483, w2 = 9196.268, dw = -0.12013, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 10, w1 = 9242.971, w2 = 9047.955, dw = -0.11819, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 11, w1 = 9096.268, w2 = 8904.35, dw = -0.11631, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 12, w1 = 8954.151, w2 = 8765.233, dw = -0.1145, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 13, w1 = 8816.405, w2 = 8630.397, dw = -0.11273, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 14, w1 = 8682.834, w2 = 8499.646, dw = -0.11102, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 15, w1 = 8553.25, w2 = 8372.799, dw = -0.10936, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 16, w1 = 8427.478, w2 = 8249.682, dw = -0.10775, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 17, w1 = 8305.351, w2 = 8130.134, dw = -0.10619, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 18, w1 = 8186.713, w2 = 8014.002, dw = -0.10467, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 19, w1 = 8071.417, w2 = 7901.141, dw = -0.1032, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 20, w1 = 7959.324, w2 = 7791.416, dw = -0.10176, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 21, w1 = 7850.302, w2 = 7684.696, dw = -0.10037, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 22, w1 = 7744.227, w2 = 7580.861, dw = -0.09901, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 23, w1 = 7640.98, w2 = 7479.795, dw = -0.09769, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 24, w1 = 7540.45, w2 = 7381.388, dw = -0.0964, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 25, w1 = 7442.531, w2 = 7285.537, dw = -0.09515, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 26, w1 = 7347.124, w2 = 7192.145, dw = -0.09393, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 27, w1 = 7254.131, w2 = 7101.116, dw = -0.09274, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 28, w1 = 7163.464, w2 = 7012.364, dw = -0.09158, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 29, w1 = 7075.035, w2 = 6925.803, dw = -0.09044, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 30, w1 = 6988.763, w2 = 6841.353, dw = -0.08934, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 31, w1 = 6904.57, w2 = 6758.938, dw = -0.08826, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 32, w1 = 6822.381, w2 = 6678.485, dw = -0.08721, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 33, w1 = 6742.126, w2 = 6599.926, dw = -0.08618, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 34, w1 = 6663.738, w2 = 6523.193, dw = -0.08518, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 35, w1 = 6587.152, w2 = 6448.224, dw = -0.0842, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 36, w1 = 6512.307, w2 = 6374.96, dw = -0.08324, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 37, w1 = 6439.143, w2 = 6303.341, dw = -0.0823, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 38, w1 = 6367.606, w2 = 6233.315, dw = -0.08139, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 39, w1 = 6297.64, w2 = 6164.827, dw = -0.08049, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 40, w1 = 6229.196, w2 = 6097.828, dw = -0.07962, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 41, w1 = 6162.224, w2 = 6032.271, dw = -0.07876, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 42, w1 = 6096.677, w2 = 5968.108, dw = -0.07792, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 43, w1 = 6032.509, w2 = 5905.296, dw = -0.0771, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 44, w1 = 5969.679, w2 = 5843.792, dw = -0.0763, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 45, w1 = 5908.144, w2 = 5783.557, dw = -0.07551, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 46, w1 = 5847.865, w2 = 5724.551, dw = -0.07474, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 47, w1 = 5788.804, w2 = 5666.737, dw = -0.07398, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 48, w1 = 5730.924, w2 = 5610.079, dw = -0.07324, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 49, w1 = 5674.191, w2 = 5554.544, dw = -0.07251, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 50, w1 = 5618.569, w2 = 5500.097, dw = -0.0718, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 51, w1 = 5564.028, w2 = 5446.708, dw = -0.0711, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 52, w1 = 5510.536, w2 = 5394.346, dw = -0.07042, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 53, w1 = 5458.063, w2 = 5342.98, dw = -0.06975, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 54, w1 = 5406.58, w2 = 5292.585, dw = -0.06909, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 55, w1 = 5356.059, w2 = 5243.131, dw = -0.06844, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 56, w1 = 5306.474, w2 = 5194.593, dw = -0.06781, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 57, w1 = 5257.799, w2 = 5146.946, dw = -0.06718, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 58, w1 = 5210.009, w2 = 5100.165, dw = -0.06657, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 59, w1 = 5163.08, w2 = 5054.227, dw = -0.06597, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 60, w1 = 5116.989, w2 = 5009.109, dw = -0.06538, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 61, w1 = 5071.714, w2 = 4964.79, dw = -0.0648, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 62, w1 = 5027.233, w2 = 4921.249, dw = -0.06423, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 63, w1 = 4983.526, w2 = 4878.465, dw = -0.06367, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 64, w1 = 4940.573, w2 = 4836.419, dw = -0.06312, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 65, w1 = 4898.354, w2 = 4795.091, dw = -0.06258, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 66, w1 = 4856.851, w2 = 4754.464, dw = -0.06205, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 67, w1 = 4816.045, w2 = 4714.52, dw = -0.06153, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 68, w1 = 4775.919, w2 = 4675.242, dw = -0.06102, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 69, w1 = 4736.457, w2 = 4636.613, dw = -0.06051, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 70, w1 = 4697.641, w2 = 4598.618, dw = -0.06001, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 71, w1 = 4659.457, w2 = 4561.24, dw = -0.05953, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 72, w1 = 4621.889, w2 = 4524.465, dw = -0.05904, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 73, w1 = 4584.922, w2 = 4488.279, dw = -0.05857, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 74, w1 = 4548.542, w2 = 4452.667, dw = -0.05811, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 75, w1 = 4512.735, w2 = 4417.617, dw = -0.05765, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 76, w1 = 4477.487, w2 = 4383.114, dw = -0.0572, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 77, w1 = 4442.786, w2 = 4349.146, dw = -0.05675, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 78, w1 = 4408.619, w2 = 4315.7, dw = -0.05631, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 79, w1 = 4374.973, w2 = 4282.766, dw = -0.05588, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 80, w1 = 4341.837, w2 = 4250.33, dw = -0.05546, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 81, w1 = 4309.2, w2 = 4218.383, dw = -0.05504, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 82, w1 = 4277.05, w2 = 4186.912, dw = -0.05463, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 83, w1 = 4245.376, w2 = 4155.908, dw = -0.05422, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 84, w1 = 4214.168, w2 = 4125.359, dw = -0.05382, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 85, w1 = 4183.416, w2 = 4095.257, dw = -0.05343, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 86, w1 = 4153.109, w2 = 4065.591, dw = -0.05304, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 87, w1 = 4123.239, w2 = 4036.352, dw = -0.05266, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 88, w1 = 4093.795, w2 = 4007.531, dw = -0.05228, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 89, w1 = 4064.769, w2 = 3979.119, dw = -0.05191, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 90, w1 = 4036.152, w2 = 3951.108, dw = -0.05154, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 91, w1 = 4007.936, w2 = 3923.488, dw = -0.05118, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 92, w1 = 3980.111, w2 = 3896.252, dw = -0.05082, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 93, w1 = 3952.67, w2 = 3869.391, dw = -0.05047, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 94, w1 = 3925.605, w2 = 3842.899, dw = -0.05012, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 95, w1 = 3898.908, w2 = 3816.768, dw = -0.04978, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 96, w1 = 3872.572, w2 = 3790.989, dw = -0.04944, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 97, w1 = 3846.59, w2 = 3765.557, dw = -0.04911, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 98, w1 = 3820.954, w2 = 3740.464, dw = -0.04878, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 99, w1 = 3795.658, w2 = 3715.704, dw = -0.04846, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 100, w1 = 3770.694, w2 = 3691.269, dw = -0.04814, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 101, w1 = 3746.057, w2 = 3667.154, dw = -0.04782, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 102, w1 = 3721.74, w2 = 3643.353, dw = -0.04751, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 103, w1 = 3697.737, w2 = 3619.858, dw = -0.0472, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 104, w1 = 3674.041, w2 = 3596.665, dw = -0.04689, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 105, w1 = 3650.648, w2 = 3573.768, dw = -0.04659, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 106, w1 = 3627.551, w2 = 3551.161, dw = -0.0463, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 107, w1 = 3604.744, w2 = 3528.838, dw = -0.046, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 108, w1 = 3582.222, w2 = 3506.794, dw = -0.04571, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 109, w1 = 3559.98, w2 = 3485.025, dw = -0.04543, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 110, w1 = 3538.013, w2 = 3463.524, dw = -0.04514, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 111, w1 = 3516.315, w2 = 3442.287, dw = -0.04487, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 112, w1 = 3494.882, w2 = 3421.31, dw = -0.04459, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 113, w1 = 3473.709, w2 = 3400.587, dw = -0.04432, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 114, w1 = 3452.791, w2 = 3380.114, dw = -0.04405, nw = 1651 zEchelleThAr.0026.ec.fits: ap = 115, w1 = 3432.123, w2 = 3359.886, dw = -0.04378, nw = 1651 EchelleThAr.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 1.' zEchelleThAr.0029.ec.fits: ap = 1, w1 = 10812.42, w2 = 10584.21, dw = -0.13831, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 2, w1 = 10612.2, w2 = 10388.23, dw = -0.13574, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 3, w1 = 10419.26, w2 = 10199.37, dw = -0.13327, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 4, w1 = 10233.21, w2 = 10017.26, dw = -0.13088, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 5, w1 = 10053.69, w2 = 9841.534, dw = -0.12858, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 6, w1 = 9880.362, w2 = 9671.869, dw = -0.12636, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 7, w1 = 9712.909, w2 = 9507.956, dw = -0.12421, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 8, w1 = 9551.038, w2 = 9349.506, dw = -0.12214, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 9, w1 = 9394.474, w2 = 9196.251, dw = -0.12014, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 10, w1 = 9242.961, w2 = 9047.939, dw = -0.1182, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 11, w1 = 9096.258, w2 = 8904.335, dw = -0.11632, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 12, w1 = 8954.139, w2 = 8765.219, dw = -0.1145, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 13, w1 = 8816.394, w2 = 8630.384, dw = -0.11273, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 14, w1 = 8682.823, w2 = 8499.634, dw = -0.11102, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 15, w1 = 8553.239, w2 = 8372.787, dw = -0.10937, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 16, w1 = 8427.467, w2 = 8249.67, dw = -0.10776, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 17, w1 = 8305.34, w2 = 8130.123, dw = -0.10619, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 18, w1 = 8186.703, w2 = 8013.99, dw = -0.10467, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 19, w1 = 8071.408, w2 = 7901.129, dw = -0.1032, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 20, w1 = 7959.315, w2 = 7791.403, dw = -0.10176, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 21, w1 = 7850.294, w2 = 7684.684, dw = -0.10037, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 22, w1 = 7744.219, w2 = 7580.848, dw = -0.09901, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 23, w1 = 7640.973, w2 = 7479.782, dw = -0.09769, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 24, w1 = 7540.444, w2 = 7381.375, dw = -0.09641, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 25, w1 = 7442.526, w2 = 7285.524, dw = -0.09515, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 26, w1 = 7347.118, w2 = 7192.13, dw = -0.09393, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 27, w1 = 7254.127, w2 = 7101.102, dw = -0.09274, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 28, w1 = 7163.46, w2 = 7012.349, dw = -0.09158, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 29, w1 = 7075.032, w2 = 6925.787, dw = -0.09045, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 30, w1 = 6988.76, w2 = 6841.337, dw = -0.08935, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 31, w1 = 6904.567, w2 = 6758.921, dw = -0.08827, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 32, w1 = 6822.379, w2 = 6678.468, dw = -0.08722, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 33, w1 = 6742.125, w2 = 6599.908, dw = -0.08619, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 34, w1 = 6663.737, w2 = 6523.176, dw = -0.08519, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 35, w1 = 6587.152, w2 = 6448.207, dw = -0.08421, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 36, w1 = 6512.307, w2 = 6374.942, dw = -0.08325, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 37, w1 = 6439.143, w2 = 6303.323, dw = -0.08232, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 38, w1 = 6367.606, w2 = 6233.296, dw = -0.0814, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 39, w1 = 6297.641, w2 = 6164.809, dw = -0.0805, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 40, w1 = 6229.197, w2 = 6097.81, dw = -0.07963, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 41, w1 = 6162.224, w2 = 6032.252, dw = -0.07877, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 42, w1 = 6096.677, w2 = 5968.089, dw = -0.07793, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 43, w1 = 6032.51, w2 = 5905.277, dw = -0.07711, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 44, w1 = 5969.679, w2 = 5843.774, dw = -0.07631, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 45, w1 = 5908.144, w2 = 5783.539, dw = -0.07552, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 46, w1 = 5847.865, w2 = 5724.533, dw = -0.07475, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 47, w1 = 5788.804, w2 = 5666.719, dw = -0.07399, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 48, w1 = 5730.924, w2 = 5610.062, dw = -0.07325, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 49, w1 = 5674.19, w2 = 5554.527, dw = -0.07252, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 50, w1 = 5618.568, w2 = 5500.081, dw = -0.07181, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 51, w1 = 5564.027, w2 = 5446.692, dw = -0.07111, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 52, w1 = 5510.534, w2 = 5394.33, dw = -0.07043, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 53, w1 = 5458.061, w2 = 5342.965, dw = -0.06975, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 54, w1 = 5406.577, w2 = 5292.57, dw = -0.0691, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 55, w1 = 5356.056, w2 = 5243.117, dw = -0.06845, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 56, w1 = 5306.471, w2 = 5194.579, dw = -0.06781, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 57, w1 = 5257.795, w2 = 5146.933, dw = -0.06719, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 58, w1 = 5210.005, w2 = 5100.152, dw = -0.06658, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 59, w1 = 5163.076, w2 = 5054.215, dw = -0.06598, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 60, w1 = 5116.984, w2 = 5009.098, dw = -0.06539, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 61, w1 = 5071.709, w2 = 4964.78, dw = -0.06481, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 62, w1 = 5027.228, w2 = 4921.24, dw = -0.06424, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 63, w1 = 4983.521, w2 = 4878.457, dw = -0.06368, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 64, w1 = 4940.568, w2 = 4836.411, dw = -0.06313, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 65, w1 = 4898.349, w2 = 4795.085, dw = -0.06258, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 66, w1 = 4856.845, w2 = 4754.459, dw = -0.06205, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 67, w1 = 4816.04, w2 = 4714.515, dw = -0.06153, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 68, w1 = 4775.914, w2 = 4675.238, dw = -0.06102, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 69, w1 = 4736.452, w2 = 4636.61, dw = -0.06051, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 70, w1 = 4697.637, w2 = 4598.616, dw = -0.06001, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 71, w1 = 4659.454, w2 = 4561.239, dw = -0.05952, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 72, w1 = 4621.886, w2 = 4524.465, dw = -0.05904, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 73, w1 = 4584.92, w2 = 4488.28, dw = -0.05857, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 74, w1 = 4548.54, w2 = 4452.669, dw = -0.0581, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 75, w1 = 4512.734, w2 = 4417.619, dw = -0.05765, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 76, w1 = 4477.488, w2 = 4383.117, dw = -0.05719, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 77, w1 = 4442.788, w2 = 4349.15, dw = -0.05675, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 78, w1 = 4408.622, w2 = 4315.705, dw = -0.05631, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 79, w1 = 4374.978, w2 = 4282.772, dw = -0.05588, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 80, w1 = 4341.844, w2 = 4250.337, dw = -0.05546, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 81, w1 = 4309.209, w2 = 4218.39, dw = -0.05504, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 82, w1 = 4277.061, w2 = 4186.92, dw = -0.05463, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 83, w1 = 4245.39, w2 = 4155.916, dw = -0.05423, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 84, w1 = 4214.184, w2 = 4125.369, dw = -0.05383, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 85, w1 = 4183.435, w2 = 4095.267, dw = -0.05344, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 86, w1 = 4153.132, w2 = 4065.602, dw = -0.05305, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 87, w1 = 4123.264, w2 = 4036.363, dw = -0.05267, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 88, w1 = 4093.824, w2 = 4007.543, dw = -0.05229, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 89, w1 = 4064.802, w2 = 3979.131, dw = -0.05192, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 90, w1 = 4036.189, w2 = 3951.119, dw = -0.05156, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 91, w1 = 4007.977, w2 = 3923.5, dw = -0.0512, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 92, w1 = 3980.157, w2 = 3896.263, dw = -0.05084, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 93, w1 = 3952.721, w2 = 3869.403, dw = -0.0505, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 94, w1 = 3925.661, w2 = 3842.911, dw = -0.05015, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 95, w1 = 3898.969, w2 = 3816.779, dw = -0.04981, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 96, w1 = 3872.639, w2 = 3791., dw = -0.04948, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 97, w1 = 3846.663, w2 = 3765.568, dw = -0.04915, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 98, w1 = 3821.034, w2 = 3740.474, dw = -0.04882, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 99, w1 = 3795.744, w2 = 3715.713, dw = -0.0485, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 100, w1 = 3770.788, w2 = 3691.278, dw = -0.04819, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 101, w1 = 3746.159, w2 = 3667.162, dw = -0.04788, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 102, w1 = 3721.849, w2 = 3643.359, dw = -0.04757, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 103, w1 = 3697.854, w2 = 3619.864, dw = -0.04727, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 104, w1 = 3674.168, w2 = 3596.67, dw = -0.04697, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 105, w1 = 3650.783, w2 = 3573.771, dw = -0.04667, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 106, w1 = 3627.695, w2 = 3551.162, dw = -0.04638, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 107, w1 = 3604.898, w2 = 3528.838, dw = -0.0461, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 108, w1 = 3582.387, w2 = 3506.792, dw = -0.04581, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 109, w1 = 3560.156, w2 = 3485.021, dw = -0.04554, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 110, w1 = 3538.2, w2 = 3463.518, dw = -0.04526, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 111, w1 = 3516.514, w2 = 3442.279, dw = -0.04499, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 112, w1 = 3495.093, w2 = 3421.299, dw = -0.04472, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 113, w1 = 3473.932, w2 = 3400.573, dw = -0.04446, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 114, w1 = 3453.027, w2 = 3380.097, dw = -0.0442, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 115, w1 = 3432.373, w2 = 3359.866, dw = -0.04394, nw = 1651 EchelleThAr.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0033.ec 1.' zEchelleThAr.0033.ec.fits: ap = 1, w1 = 10812.41, w2 = 10584.28, dw = -0.13826, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 2, w1 = 10612.2, w2 = 10388.29, dw = -0.1357, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 3, w1 = 10419.27, w2 = 10199.43, dw = -0.13323, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 4, w1 = 10233.23, w2 = 10017.32, dw = -0.13085, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 5, w1 = 10053.71, w2 = 9841.596, dw = -0.12856, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 6, w1 = 9880.391, w2 = 9671.931, dw = -0.12634, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 7, w1 = 9712.942, w2 = 9508.017, dw = -0.1242, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 8, w1 = 9551.075, w2 = 9349.567, dw = -0.12213, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 9, w1 = 9394.515, w2 = 9196.312, dw = -0.12012, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 10, w1 = 9243.005, w2 = 9048., dw = -0.11819, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 11, w1 = 9096.305, w2 = 8904.396, dw = -0.11631, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 12, w1 = 8954.189, w2 = 8765.279, dw = -0.11449, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 13, w1 = 8816.445, w2 = 8630.443, dw = -0.11273, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 14, w1 = 8682.875, w2 = 8499.693, dw = -0.11102, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 15, w1 = 8553.292, w2 = 8372.845, dw = -0.10936, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 16, w1 = 8427.521, w2 = 8249.728, dw = -0.10775, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 17, w1 = 8305.394, w2 = 8130.18, dw = -0.10619, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 18, w1 = 8186.757, w2 = 8014.047, dw = -0.10467, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 19, w1 = 8071.462, w2 = 7901.185, dw = -0.1032, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 20, w1 = 7959.369, w2 = 7791.459, dw = -0.10176, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 21, w1 = 7850.347, w2 = 7684.738, dw = -0.10037, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 22, w1 = 7744.272, w2 = 7580.902, dw = -0.09901, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 23, w1 = 7641.025, w2 = 7479.835, dw = -0.09769, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 24, w1 = 7540.495, w2 = 7381.427, dw = -0.0964, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 25, w1 = 7442.576, w2 = 7285.576, dw = -0.09515, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 26, w1 = 7347.168, w2 = 7192.182, dw = -0.09393, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 27, w1 = 7254.175, w2 = 7101.152, dw = -0.09274, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 28, w1 = 7163.507, w2 = 7012.398, dw = -0.09158, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 29, w1 = 7075.078, w2 = 6925.836, dw = -0.09045, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 30, w1 = 6988.805, w2 = 6841.385, dw = -0.08935, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 31, w1 = 6904.611, w2 = 6758.969, dw = -0.08827, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 32, w1 = 6822.422, w2 = 6678.516, dw = -0.08722, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 33, w1 = 6742.167, w2 = 6599.955, dw = -0.08619, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 34, w1 = 6663.778, w2 = 6523.222, dw = -0.08519, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 35, w1 = 6587.191, w2 = 6448.252, dw = -0.08421, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 36, w1 = 6512.345, w2 = 6374.987, dw = -0.08325, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 37, w1 = 6439.181, w2 = 6303.367, dw = -0.08231, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 38, w1 = 6367.642, w2 = 6233.34, dw = -0.0814, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 39, w1 = 6297.676, w2 = 6164.852, dw = -0.0805, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 40, w1 = 6229.231, w2 = 6097.852, dw = -0.07962, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 41, w1 = 6162.258, w2 = 6032.294, dw = -0.07877, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 42, w1 = 6096.71, w2 = 5968.131, dw = -0.07793, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 43, w1 = 6032.542, w2 = 5905.318, dw = -0.07711, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 44, w1 = 5969.711, w2 = 5843.814, dw = -0.0763, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 45, w1 = 5908.176, w2 = 5783.579, dw = -0.07551, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 46, w1 = 5847.896, w2 = 5724.572, dw = -0.07474, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 47, w1 = 5788.834, w2 = 5666.758, dw = -0.07399, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 48, w1 = 5730.954, w2 = 5610.101, dw = -0.07324, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 49, w1 = 5674.219, w2 = 5554.565, dw = -0.07252, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 50, w1 = 5618.598, w2 = 5500.118, dw = -0.07181, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 51, w1 = 5564.056, w2 = 5446.729, dw = -0.07111, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 52, w1 = 5510.563, w2 = 5394.367, dw = -0.07042, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 53, w1 = 5458.09, w2 = 5343.002, dw = -0.06975, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 54, w1 = 5406.606, w2 = 5292.606, dw = -0.06909, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 55, w1 = 5356.085, w2 = 5243.153, dw = -0.06844, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 56, w1 = 5306.5, w2 = 5194.615, dw = -0.06781, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 57, w1 = 5257.824, w2 = 5146.968, dw = -0.06719, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 58, w1 = 5210.034, w2 = 5100.187, dw = -0.06657, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 59, w1 = 5163.105, w2 = 5054.25, dw = -0.06597, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 60, w1 = 5117.014, w2 = 5009.133, dw = -0.06538, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 61, w1 = 5071.738, w2 = 4964.815, dw = -0.0648, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 62, w1 = 5027.258, w2 = 4921.274, dw = -0.06423, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 63, w1 = 4983.551, w2 = 4878.49, dw = -0.06367, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 64, w1 = 4940.597, w2 = 4836.445, dw = -0.06312, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 65, w1 = 4898.378, w2 = 4795.118, dw = -0.06258, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 66, w1 = 4856.875, w2 = 4754.492, dw = -0.06205, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 67, w1 = 4816.07, w2 = 4714.548, dw = -0.06153, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 68, w1 = 4775.944, w2 = 4675.271, dw = -0.06101, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 69, w1 = 4736.482, w2 = 4636.643, dw = -0.06051, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 70, w1 = 4697.667, w2 = 4598.648, dw = -0.06001, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 71, w1 = 4659.484, w2 = 4561.271, dw = -0.05952, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 72, w1 = 4621.916, w2 = 4524.497, dw = -0.05904, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 73, w1 = 4584.95, w2 = 4488.311, dw = -0.05857, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 74, w1 = 4548.57, w2 = 4452.7, dw = -0.0581, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 75, w1 = 4512.764, w2 = 4417.65, dw = -0.05764, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 76, w1 = 4477.517, w2 = 4383.148, dw = -0.05719, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 77, w1 = 4442.817, w2 = 4349.18, dw = -0.05675, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 78, w1 = 4408.651, w2 = 4315.736, dw = -0.05631, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 79, w1 = 4375.006, w2 = 4282.802, dw = -0.05588, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 80, w1 = 4341.872, w2 = 4250.367, dw = -0.05546, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 81, w1 = 4309.236, w2 = 4218.419, dw = -0.05504, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 82, w1 = 4277.087, w2 = 4186.949, dw = -0.05463, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 83, w1 = 4245.415, w2 = 4155.945, dw = -0.05422, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 84, w1 = 4214.208, w2 = 4125.397, dw = -0.05382, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 85, w1 = 4183.457, w2 = 4095.295, dw = -0.05343, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 86, w1 = 4153.153, w2 = 4065.63, dw = -0.05304, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 87, w1 = 4123.284, w2 = 4036.391, dw = -0.05266, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 88, w1 = 4093.842, w2 = 4007.57, dw = -0.05229, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 89, w1 = 4064.818, w2 = 3979.158, dw = -0.05192, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 90, w1 = 4036.203, w2 = 3951.146, dw = -0.05155, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 91, w1 = 4007.988, w2 = 3923.526, dw = -0.05119, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 92, w1 = 3980.166, w2 = 3896.289, dw = -0.05083, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 93, w1 = 3952.727, w2 = 3869.429, dw = -0.05048, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 94, w1 = 3925.664, w2 = 3842.936, dw = -0.05014, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 95, w1 = 3898.97, w2 = 3816.804, dw = -0.0498, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 96, w1 = 3872.636, w2 = 3791.024, dw = -0.04946, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 97, w1 = 3846.657, w2 = 3765.591, dw = -0.04913, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 98, w1 = 3821.023, w2 = 3740.497, dw = -0.0488, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 99, w1 = 3795.73, w2 = 3715.736, dw = -0.04848, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 100, w1 = 3770.769, w2 = 3691.3, dw = -0.04816, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 101, w1 = 3746.135, w2 = 3667.183, dw = -0.04785, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 102, w1 = 3721.821, w2 = 3643.38, dw = -0.04754, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 103, w1 = 3697.821, w2 = 3619.884, dw = -0.04723, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 104, w1 = 3674.129, w2 = 3596.689, dw = -0.04693, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 105, w1 = 3650.738, w2 = 3573.789, dw = -0.04664, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 106, w1 = 3627.644, w2 = 3551.18, dw = -0.04634, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 107, w1 = 3604.841, w2 = 3528.855, dw = -0.04605, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 108, w1 = 3582.323, w2 = 3506.808, dw = -0.04577, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 109, w1 = 3560.084, w2 = 3485.036, dw = -0.04548, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 110, w1 = 3538.121, w2 = 3463.532, dw = -0.04521, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 111, w1 = 3516.427, w2 = 3442.292, dw = -0.04493, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 112, w1 = 3494.998, w2 = 3421.311, dw = -0.04466, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 113, w1 = 3473.829, w2 = 3400.584, dw = -0.04439, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 114, w1 = 3452.915, w2 = 3380.107, dw = -0.04413, nw = 1651 zEchelleThAr.0033.ec.fits: ap = 115, w1 = 3432.251, w2 = 3359.875, dw = -0.04386, nw = 1651 EchelleThAr.0038.ec.fits: REFSPEC1 = 'EchelleThAr.0038.ec 1.' zEchelleThAr.0038.ec.fits: ap = 1, w1 = 10812.26, w2 = 10584.13, dw = -0.13826, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 2, w1 = 10612.06, w2 = 10388.15, dw = -0.1357, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 3, w1 = 10419.14, w2 = 10199.3, dw = -0.13323, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 4, w1 = 10233.1, w2 = 10017.19, dw = -0.13086, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 5, w1 = 10053.6, w2 = 9841.469, dw = -0.12856, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 6, w1 = 9880.279, w2 = 9671.808, dw = -0.12635, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 7, w1 = 9712.836, w2 = 9507.897, dw = -0.12421, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 8, w1 = 9550.974, w2 = 9349.45, dw = -0.12214, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 9, w1 = 9394.418, w2 = 9196.198, dw = -0.12013, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 10, w1 = 9242.911, w2 = 9047.888, dw = -0.1182, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 11, w1 = 9096.213, w2 = 8904.287, dw = -0.11632, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 12, w1 = 8954.099, w2 = 8765.173, dw = -0.1145, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 13, w1 = 8816.358, w2 = 8630.339, dw = -0.11274, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 14, w1 = 8682.79, w2 = 8499.591, dw = -0.11103, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 15, w1 = 8553.208, w2 = 8372.745, dw = -0.10937, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 16, w1 = 8427.438, w2 = 8249.63, dw = -0.10776, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 17, w1 = 8305.312, w2 = 8130.083, dw = -0.1062, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 18, w1 = 8186.676, w2 = 8013.952, dw = -0.10468, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 19, w1 = 8071.381, w2 = 7901.092, dw = -0.10321, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 20, w1 = 7959.289, w2 = 7791.367, dw = -0.10177, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 21, w1 = 7850.267, w2 = 7684.648, dw = -0.10038, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 22, w1 = 7744.192, w2 = 7580.813, dw = -0.09902, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 23, w1 = 7640.946, w2 = 7479.748, dw = -0.0977, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 24, w1 = 7540.416, w2 = 7381.341, dw = -0.09641, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 25, w1 = 7442.497, w2 = 7285.491, dw = -0.09516, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 26, w1 = 7347.089, w2 = 7192.098, dw = -0.09393, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 27, w1 = 7254.097, w2 = 7101.07, dw = -0.09274, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 28, w1 = 7163.429, w2 = 7012.318, dw = -0.09158, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 29, w1 = 7075., w2 = 6925.756, dw = -0.09045, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 30, w1 = 6988.728, w2 = 6841.307, dw = -0.08935, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 31, w1 = 6904.534, w2 = 6758.892, dw = -0.08827, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 32, w1 = 6822.345, w2 = 6678.439, dw = -0.08722, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 33, w1 = 6742.091, w2 = 6599.88, dw = -0.08619, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 34, w1 = 6663.702, w2 = 6523.147, dw = -0.08518, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 35, w1 = 6587.116, w2 = 6448.179, dw = -0.0842, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 36, w1 = 6512.27, w2 = 6374.914, dw = -0.08325, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 37, w1 = 6439.107, w2 = 6303.296, dw = -0.08231, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 38, w1 = 6367.569, w2 = 6233.27, dw = -0.08139, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 39, w1 = 6297.604, w2 = 6164.782, dw = -0.0805, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 40, w1 = 6229.16, w2 = 6097.784, dw = -0.07962, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 41, w1 = 6162.188, w2 = 6032.226, dw = -0.07876, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 42, w1 = 6096.641, w2 = 5968.064, dw = -0.07793, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 43, w1 = 6032.474, w2 = 5905.252, dw = -0.0771, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 44, w1 = 5969.644, w2 = 5843.749, dw = -0.0763, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 45, w1 = 5908.11, w2 = 5783.514, dw = -0.07551, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 46, w1 = 5847.832, w2 = 5724.509, dw = -0.07474, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 47, w1 = 5788.771, w2 = 5666.696, dw = -0.07399, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 48, w1 = 5730.892, w2 = 5610.039, dw = -0.07324, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 49, w1 = 5674.159, w2 = 5554.504, dw = -0.07252, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 50, w1 = 5618.539, w2 = 5500.058, dw = -0.07181, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 51, w1 = 5563.998, w2 = 5446.669, dw = -0.07111, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 52, w1 = 5510.507, w2 = 5394.308, dw = -0.07042, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 53, w1 = 5458.035, w2 = 5342.943, dw = -0.06975, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 54, w1 = 5406.553, w2 = 5292.548, dw = -0.06909, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 55, w1 = 5356.033, w2 = 5243.095, dw = -0.06845, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 56, w1 = 5306.449, w2 = 5194.558, dw = -0.06781, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 57, w1 = 5257.774, w2 = 5146.912, dw = -0.06719, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 58, w1 = 5209.985, w2 = 5100.132, dw = -0.06658, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 59, w1 = 5163.057, w2 = 5054.195, dw = -0.06598, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 60, w1 = 5116.967, w2 = 5009.078, dw = -0.06539, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 61, w1 = 5071.693, w2 = 4964.76, dw = -0.06481, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 62, w1 = 5027.213, w2 = 4921.22, dw = -0.06424, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 63, w1 = 4983.507, w2 = 4878.437, dw = -0.06368, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 64, w1 = 4940.554, w2 = 4836.391, dw = -0.06313, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 65, w1 = 4898.336, w2 = 4795.065, dw = -0.06259, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 66, w1 = 4856.833, w2 = 4754.438, dw = -0.06206, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 67, w1 = 4816.027, w2 = 4714.495, dw = -0.06153, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 68, w1 = 4775.902, w2 = 4675.218, dw = -0.06102, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 69, w1 = 4736.44, w2 = 4636.589, dw = -0.06052, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 70, w1 = 4697.624, w2 = 4598.594, dw = -0.06002, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 71, w1 = 4659.44, w2 = 4561.217, dw = -0.05953, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 72, w1 = 4621.871, w2 = 4524.443, dw = -0.05905, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 73, w1 = 4584.904, w2 = 4488.257, dw = -0.05857, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 74, w1 = 4548.523, w2 = 4452.646, dw = -0.05811, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 75, w1 = 4512.715, w2 = 4417.595, dw = -0.05765, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 76, w1 = 4477.466, w2 = 4383.092, dw = -0.0572, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 77, w1 = 4442.764, w2 = 4349.124, dw = -0.05675, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 78, w1 = 4408.595, w2 = 4315.679, dw = -0.05631, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 79, w1 = 4374.948, w2 = 4282.744, dw = -0.05588, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 80, w1 = 4341.81, w2 = 4250.308, dw = -0.05546, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 81, w1 = 4309.17, w2 = 4218.36, dw = -0.05504, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 82, w1 = 4277.017, w2 = 4186.889, dw = -0.05462, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 83, w1 = 4245.341, w2 = 4155.883, dw = -0.05422, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 84, w1 = 4214.129, w2 = 4125.334, dw = -0.05382, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 85, w1 = 4183.373, w2 = 4095.231, dw = -0.05342, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 86, w1 = 4153.063, w2 = 4065.564, dw = -0.05303, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 87, w1 = 4123.188, w2 = 4036.323, dw = -0.05265, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 88, w1 = 4093.74, w2 = 4007.501, dw = -0.05227, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 89, w1 = 4064.709, w2 = 3979.087, dw = -0.05189, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 90, w1 = 4036.086, w2 = 3951.073, dw = -0.05152, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 91, w1 = 4007.863, w2 = 3923.451, dw = -0.05116, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 92, w1 = 3980.032, w2 = 3896.212, dw = -0.0508, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 93, w1 = 3952.584, w2 = 3869.349, dw = -0.05045, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 94, w1 = 3925.512, w2 = 3842.854, dw = -0.0501, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 95, w1 = 3898.807, w2 = 3816.719, dw = -0.04975, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 96, w1 = 3872.463, w2 = 3790.937, dw = -0.04941, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 97, w1 = 3846.471, w2 = 3765.501, dw = -0.04907, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 98, w1 = 3820.826, w2 = 3740.404, dw = -0.04874, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 99, w1 = 3795.519, w2 = 3715.639, dw = -0.04841, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 100, w1 = 3770.545, w2 = 3691.199, dw = -0.04809, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 101, w1 = 3745.897, w2 = 3667.08, dw = -0.04777, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 102, w1 = 3721.568, w2 = 3643.273, dw = -0.04745, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 103, w1 = 3697.553, w2 = 3619.773, dw = -0.04714, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 104, w1 = 3673.844, w2 = 3596.574, dw = -0.04683, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 105, w1 = 3650.437, w2 = 3573.67, dw = -0.04653, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 106, w1 = 3627.325, w2 = 3551.056, dw = -0.04622, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 107, w1 = 3604.503, w2 = 3528.726, dw = -0.04593, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 108, w1 = 3581.965, w2 = 3506.675, dw = -0.04563, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 109, w1 = 3559.707, w2 = 3484.898, dw = -0.04534, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 110, w1 = 3537.722, w2 = 3463.389, dw = -0.04505, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 111, w1 = 3516.007, w2 = 3442.144, dw = -0.04477, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 112, w1 = 3494.555, w2 = 3421.157, dw = -0.04448, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 113, w1 = 3473.362, w2 = 3400.425, dw = -0.0442, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 114, w1 = 3452.423, w2 = 3379.942, dw = -0.04393, nw = 1651 zEchelleThAr.0038.ec.fits: ap = 115, w1 = 3431.734, w2 = 3359.704, dw = -0.04365, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Jul 31 17:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 140727.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 140727.0025.ec.fits[100] 900.0 1.000 0. 0.009 140727.0025.ec.fits[101] 900.0 1.000 0. 0.009 140727.0025.ec.fits[102] 900.0 1.000 0. 0.009 140727.0025.ec.fits[103] 900.0 1.000 0. 0.009 140727.0025.ec.fits[104] 900.0 1.000 0. 0.009 140727.0025.ec.fits[105] 900.0 1.000 0. 0.009 140727.0025.ec.fits[106] 900.0 1.000 0. 0.009 140727.0025.ec.fits[107] 900.0 1.000 0. 0.009 140727.0025.ec.fits[108] 900.0 1.000 0. 0.009 140727.0025.ec.fits[109] 900.0 1.000 0. 0.009 140727.0025.ec.fits[110] 900.0 1.000 0. 0.009 140727.0025.ec.fits[111] 900.0 1.000 0. 0.009 140727.0025.ec.fits[112] 900.0 1.000 0. 0.009 140727.0025.ec.fits[113] 900.0 1.000 0. 0.009 140727.0025.ec.fits[114] 900.0 1.000 0. 0.009 140727.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum140727.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.876, w2 = 10812.4, dw = 0.04378118, nw = 170223., dtype = 0 Jul 31 17:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[100] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[101] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[102] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[103] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[104] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[105] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[106] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[107] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[108] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[109] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[110] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[111] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[112] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[113] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[114] 1500.0 1.000 0. 0.009 140727.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140727.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.881, w2 = 10812.41, dw = 0.04382345, nw = 170059., dtype = 0 Jul 31 17:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0028.ec.fits[ 1] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 2] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 3] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 4] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 5] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 6] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 7] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 8] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 9] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 10] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 11] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 12] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 13] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 14] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 15] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 16] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 17] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 18] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 19] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 20] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 21] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 22] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 23] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 24] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 25] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 26] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 27] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 28] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 29] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 30] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 31] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 32] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 33] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 34] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 35] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 36] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 37] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 38] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 39] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 40] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 41] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 42] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 43] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 44] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 45] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 46] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 47] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 48] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 49] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 50] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 51] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 52] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 53] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 54] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 55] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 56] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 57] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 58] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 59] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 60] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 61] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 62] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 63] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 64] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 65] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 66] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 67] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 68] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 69] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 70] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 71] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 72] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 73] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 74] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 75] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 76] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 77] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 78] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 79] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 80] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 81] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 82] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 83] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 84] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 85] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 86] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 87] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 88] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 89] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 90] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 91] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 92] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 93] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 94] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 95] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 96] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 97] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 98] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[ 99] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[100] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[101] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[102] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[103] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[104] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[105] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[106] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[107] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[108] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[109] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[110] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[111] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[112] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[113] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[114] 1500.0 1.000 0. 0.009 140727.0028.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140727.0028.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.872, w2 = 10812.42, dw = 0.04389996, nw = 169763., dtype = 0 Jul 31 17:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0030.ec.fits[ 1] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 2] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 3] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 4] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 5] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 6] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 7] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 8] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 9] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 10] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 11] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 12] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 13] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 14] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 15] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 16] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 17] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 18] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 19] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 20] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 21] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 22] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 23] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 24] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 25] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 26] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 27] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 28] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 29] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 30] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 31] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 32] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 33] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 34] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 35] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 36] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 37] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 38] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 39] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 40] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 41] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 42] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 43] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 44] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 45] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 46] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 47] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 48] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 49] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 50] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 51] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 52] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 53] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 54] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 55] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 56] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 57] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 58] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 59] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 60] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 61] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 62] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 63] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 64] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 65] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 66] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 67] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 68] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 69] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 70] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 71] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 72] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 73] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 74] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 75] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 76] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 77] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 78] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 79] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 80] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 81] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 82] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 83] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 84] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 85] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 86] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 87] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 88] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 89] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 90] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 91] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 92] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 93] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 94] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 95] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 96] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 97] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 98] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[ 99] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[100] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[101] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[102] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[103] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[104] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[105] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[106] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[107] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[108] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[109] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[110] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[111] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[112] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[113] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[114] 1200.0 1.000 0. 0.009 140727.0030.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140727.0030.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.868, w2 = 10812.42, dw = 0.04392819, nw = 169654., dtype = 0 Jul 31 17:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0031.ec.fits[ 1] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 2] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 3] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 4] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 5] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 6] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 7] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 8] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 9] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 10] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 11] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 12] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 13] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 14] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 15] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 16] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 17] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 18] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 19] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 20] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 21] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 22] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 23] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 24] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 25] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 26] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 27] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 28] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 29] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 30] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 31] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 32] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 33] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 34] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 35] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 36] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 37] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 38] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 39] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 40] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 41] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 42] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 43] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 44] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 45] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 46] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 47] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 48] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 49] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 50] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 51] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 52] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 53] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 54] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 55] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 56] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 57] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 58] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 59] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 60] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 61] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 62] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 63] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 64] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 65] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 66] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 67] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 68] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 69] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 70] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 71] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 72] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 73] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 74] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 75] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 76] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 77] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 78] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 79] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 80] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 81] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 82] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 83] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 84] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 85] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 86] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 87] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 88] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 89] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 90] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 91] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 92] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 93] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 94] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 95] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 96] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 97] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 98] 720.0 1.000 0. 0.009 140727.0031.ec.fits[ 99] 720.0 1.000 0. 0.009 140727.0031.ec.fits[100] 720.0 1.000 0. 0.009 140727.0031.ec.fits[101] 720.0 1.000 0. 0.009 140727.0031.ec.fits[102] 720.0 1.000 0. 0.009 140727.0031.ec.fits[103] 720.0 1.000 0. 0.009 140727.0031.ec.fits[104] 720.0 1.000 0. 0.009 140727.0031.ec.fits[105] 720.0 1.000 0. 0.009 140727.0031.ec.fits[106] 720.0 1.000 0. 0.009 140727.0031.ec.fits[107] 720.0 1.000 0. 0.009 140727.0031.ec.fits[108] 720.0 1.000 0. 0.009 140727.0031.ec.fits[109] 720.0 1.000 0. 0.009 140727.0031.ec.fits[110] 720.0 1.000 0. 0.009 140727.0031.ec.fits[111] 720.0 1.000 0. 0.009 140727.0031.ec.fits[112] 720.0 1.000 0. 0.009 140727.0031.ec.fits[113] 720.0 1.000 0. 0.009 140727.0031.ec.fits[114] 720.0 1.000 0. 0.009 140727.0031.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum140727.0031.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.871, w2 = 10812.41, dw = 0.04390383, nw = 169748., dtype = 0 Jul 31 17:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0032.ec.fits[ 1] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 2] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 3] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 4] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 5] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 6] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 7] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 8] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 9] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 10] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 11] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 12] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 13] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 14] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 15] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 16] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 17] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 18] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 19] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 20] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 21] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 22] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 23] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 24] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 25] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 26] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 27] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 28] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 29] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 30] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 31] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 32] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 33] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 34] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 35] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 36] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 37] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 38] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 39] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 40] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 41] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 42] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 43] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 44] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 45] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 46] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 47] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 48] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 49] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 50] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 51] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 52] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 53] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 54] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 55] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 56] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 57] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 58] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 59] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 60] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 61] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 62] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 63] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 64] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 65] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 66] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 67] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 68] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 69] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 70] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 71] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 72] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 73] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 74] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 75] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 76] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 77] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 78] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 79] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 80] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 81] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 82] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 83] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 84] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 85] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 86] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 87] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 88] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 89] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 90] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 91] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 92] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 93] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 94] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 95] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 96] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 97] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 98] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[ 99] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[100] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[101] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[102] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[103] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[104] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[105] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[106] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[107] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[108] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[109] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[110] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[111] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[112] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[113] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[114] 1200.0 1.000 0. 0.009 140727.0032.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140727.0032.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.873, w2 = 10812.41, dw = 0.04388183, nw = 169833., dtype = 0 Jul 31 17:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0034.ec.fits[ 1] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 2] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 3] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 4] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 5] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 6] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 7] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 8] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 9] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 10] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 11] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 12] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 13] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 14] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 15] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 16] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 17] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 18] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 19] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 20] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 21] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 22] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 23] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 24] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 25] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 26] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 27] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 28] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 29] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 30] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 31] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 32] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 33] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 34] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 35] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 36] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 37] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 38] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 39] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 40] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 41] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 42] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 43] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 44] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 45] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 46] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 47] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 48] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 49] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 50] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 51] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 52] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 53] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 54] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 55] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 56] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 57] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 58] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 59] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 60] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 61] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 62] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 63] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 64] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 65] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 66] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 67] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 68] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 69] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 70] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 71] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 72] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 73] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 74] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 75] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 76] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 77] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 78] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 79] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 80] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 81] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 82] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 83] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 84] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 85] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 86] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 87] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 88] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 89] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 90] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 91] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 92] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 93] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 94] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 95] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 96] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 97] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 98] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[ 99] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[100] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[101] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[102] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[103] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[104] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[105] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[106] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[107] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[108] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[109] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[110] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[111] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[112] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[113] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[114] 1500.0 1.000 0. 0.009 140727.0034.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140727.0034.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.852, w2 = 10812.39, dw = 0.04383587, nw = 170011., dtype = 0 Jul 31 17:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0035.ec.fits[ 1] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 2] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 3] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 4] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 5] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 6] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 7] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 8] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 9] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 10] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 11] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 12] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 13] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 14] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 15] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 16] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 17] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 18] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 19] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 20] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 21] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 22] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 23] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 24] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 25] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 26] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 27] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 28] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 29] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 30] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 31] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 32] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 33] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 34] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 35] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 36] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 37] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 38] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 39] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 40] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 41] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 42] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 43] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 44] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 45] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 46] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 47] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 48] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 49] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 50] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 51] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 52] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 53] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 54] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 55] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 56] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 57] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 58] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 59] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 60] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 61] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 62] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 63] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 64] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 65] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 66] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 67] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 68] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 69] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 70] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 71] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 72] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 73] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 74] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 75] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 76] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 77] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 78] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 79] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 80] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 81] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 82] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 83] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 84] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 85] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 86] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 87] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 88] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 89] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 90] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 91] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 92] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 93] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 94] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 95] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 96] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 97] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 98] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[ 99] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[100] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[101] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[102] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[103] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[104] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[105] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[106] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[107] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[108] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[109] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[110] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[111] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[112] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[113] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[114] 1200.0 1.000 0. 0.009 140727.0035.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140727.0035.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.81, w2 = 10812.35, dw = 0.04378413, nw = 170212., dtype = 0 Jul 31 17:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0036.ec.fits[ 1] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 2] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 3] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 4] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 5] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 6] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 7] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 8] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 9] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 10] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 11] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 12] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 13] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 14] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 15] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 16] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 17] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 18] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 19] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 20] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 21] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 22] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 23] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 24] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 25] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 26] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 27] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 28] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 29] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 30] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 31] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 32] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 33] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 34] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 35] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 36] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 37] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 38] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 39] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 40] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 41] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 42] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 43] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 44] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 45] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 46] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 47] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 48] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 49] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 50] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 51] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 52] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 53] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 54] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 55] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 56] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 57] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 58] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 59] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 60] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 61] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 62] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 63] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 64] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 65] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 66] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 67] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 68] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 69] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 70] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 71] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 72] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 73] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 74] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 75] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 76] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 77] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 78] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 79] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 80] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 81] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 82] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 83] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 84] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 85] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 86] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 87] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 88] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 89] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 90] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 91] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 92] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 93] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 94] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 95] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 96] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 97] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 98] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[ 99] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[100] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[101] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[102] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[103] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[104] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[105] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[106] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[107] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[108] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[109] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[110] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[111] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[112] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[113] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[114] 1200.0 1.000 0. 0.009 140727.0036.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum140727.0036.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.765, w2 = 10812.31, dw = 0.04372944, nw = 170425., dtype = 0 Jul 31 17:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 140727.0037.ec.fits[ 1] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 2] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 3] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 4] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 5] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 6] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 7] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 8] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 9] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 10] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 11] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 12] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 13] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 14] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 15] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 16] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 17] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 18] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 19] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 20] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 21] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 22] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 23] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 24] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 25] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 26] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 27] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 28] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 29] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 30] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 31] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 32] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 33] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 34] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 35] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 36] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 37] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 38] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 39] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 40] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 41] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 42] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 43] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 44] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 45] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 46] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 47] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 48] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 49] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 50] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 51] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 52] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 53] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 54] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 55] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 56] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 57] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 58] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 59] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 60] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 61] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 62] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 63] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 64] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 65] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 66] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 67] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 68] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 69] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 70] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 71] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 72] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 73] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 74] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 75] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 76] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 77] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 78] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 79] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 80] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 81] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 82] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 83] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 84] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 85] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 86] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 87] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 88] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 89] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 90] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 91] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 92] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 93] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 94] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 95] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 96] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 97] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 98] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[ 99] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[100] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[101] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[102] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[103] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[104] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[105] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[106] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[107] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[108] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[109] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[110] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[111] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[112] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[113] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[114] 1500.0 1.000 0. 0.009 140727.0037.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum140727.0037.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.727, w2 = 10812.28, dw = 0.04368307, nw = 170606., dtype = 0 Jul 31 17:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[100] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[101] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[102] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[103] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[104] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[105] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[106] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[107] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[108] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[109] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[110] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[111] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[112] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[113] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[114] 900.0 1.000 0. 0.009 fitcont140727.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont140727.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.876, w2 = 10812.4, dw = 0.04378118, nw = 170223., dtype = 0 Jul 31 17:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140727.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140727.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.881, w2 = 10812.41, dw = 0.04382345, nw = 170059., dtype = 0 Jul 31 17:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0028.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140727.0028.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140727.0028.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.872, w2 = 10812.42, dw = 0.04389996, nw = 169763., dtype = 0 Jul 31 17:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0030.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140727.0030.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140727.0030.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.868, w2 = 10812.42, dw = 0.04392819, nw = 169654., dtype = 0 Jul 31 17:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0031.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[100] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[101] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[102] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[103] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[104] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[105] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[106] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[107] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[108] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[109] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[110] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[111] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[112] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[113] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[114] 720.0 1.000 0. 0.009 fitcont140727.0031.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont140727.0031.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.871, w2 = 10812.41, dw = 0.04390383, nw = 169748., dtype = 0 Jul 31 17:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0032.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140727.0032.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140727.0032.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.873, w2 = 10812.41, dw = 0.04388183, nw = 169833., dtype = 0 Jul 31 17:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0034.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140727.0034.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140727.0034.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.852, w2 = 10812.39, dw = 0.04383587, nw = 170011., dtype = 0 Jul 31 17:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0035.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140727.0035.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140727.0035.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.81, w2 = 10812.35, dw = 0.04378413, nw = 170212., dtype = 0 Jul 31 17:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0036.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont140727.0036.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont140727.0036.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.765, w2 = 10812.31, dw = 0.04372944, nw = 170425., dtype = 0 Jul 31 17:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont140727.0037.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont140727.0037.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont140727.0037.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.727, w2 = 10812.28, dw = 0.04368307, nw = 170606., dtype = 0 103500. fullspec140727.0025.ec.fits,EXPTIME: 103500. -> 900.0 fullspec140727.0025.ec.fits updated 172500. fullspec140727.0027.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140727.0027.ec.fits updated 172500. fullspec140727.0028.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140727.0028.ec.fits updated 138000. fullspec140727.0030.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140727.0030.ec.fits updated 82799.99 fullspec140727.0031.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec140727.0031.ec.fits updated 138000. fullspec140727.0032.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140727.0032.ec.fits updated 172500. fullspec140727.0034.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140727.0034.ec.fits updated 138000. fullspec140727.0035.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140727.0035.ec.fits updated 138000. fullspec140727.0036.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec140727.0036.ec.fits updated 172500. fullspec140727.0037.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec140727.0037.ec.fits updated ALL DONE! Yay! (=^.^=)