Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 141028.0021.fits,dispaxis = 1 141028.0021.fits updated add 141028.0022.fits,dispaxis = 1 141028.0022.fits updated add 141028.0023.fits,dispaxis = 1 141028.0023.fits updated add 141028.0025.fits,dispaxis = 1 141028.0025.fits updated add 141028.0026.fits,dispaxis = 1 141028.0026.fits updated add 141028.0027.fits,dispaxis = 1 141028.0027.fits updated add 141028.0028.fits,dispaxis = 1 141028.0028.fits updated add 141028.0030.fits,dispaxis = 1 141028.0030.fits updated add 141028.0031.fits,dispaxis = 1 141028.0031.fits updated add 141028.0033.fits,dispaxis = 1 141028.0033.fits updated add 141028.0034.fits,dispaxis = 1 141028.0034.fits updated add 141028.0035.fits,dispaxis = 1 141028.0035.fits updated add 141028.0037.fits,dispaxis = 1 141028.0037.fits updated add 141028.0038.fits,dispaxis = 1 141028.0038.fits updated add 141028.0039.fits,dispaxis = 1 141028.0039.fits updated add EchelleBias.0001.fits,dispaxis = 1 EchelleBias.0001.fits updated add EchelleBias.0002.fits,dispaxis = 1 EchelleBias.0002.fits updated add EchelleBias.0003.fits,dispaxis = 1 EchelleBias.0003.fits updated add EchelleBias.0004.fits,dispaxis = 1 EchelleBias.0004.fits updated add EchelleBias.0005.fits,dispaxis = 1 EchelleBias.0005.fits updated add EchelleBias.0006.fits,dispaxis = 1 EchelleBias.0006.fits updated add EchelleBias.0007.fits,dispaxis = 1 EchelleBias.0007.fits updated add EchelleBias.0008.fits,dispaxis = 1 EchelleBias.0008.fits updated add EchelleBias.0009.fits,dispaxis = 1 EchelleBias.0009.fits updated add EchelleBias.0010.fits,dispaxis = 1 EchelleBias.0010.fits updated add EchelleFlat.0011.fits,dispaxis = 1 EchelleFlat.0011.fits updated add EchelleFlat.0012.fits,dispaxis = 1 EchelleFlat.0012.fits updated add EchelleFlat.0013.fits,dispaxis = 1 EchelleFlat.0013.fits updated add EchelleFlatBlue.0014.fits,dispaxis = 1 EchelleFlatBlue.0014.fits updated add EchelleFlatBlue.0015.fits,dispaxis = 1 EchelleFlatBlue.0015.fits updated add EchelleFlatBlue.0016.fits,dispaxis = 1 EchelleFlatBlue.0016.fits updated add EchelleThAr.0017.fits,dispaxis = 1 EchelleThAr.0017.fits updated add EchelleThAr.0018.fits,dispaxis = 1 EchelleThAr.0018.fits updated add EchelleThAr.0019.fits,dispaxis = 1 EchelleThAr.0019.fits updated add EchelleThAr.0020.fits,dispaxis = 1 EchelleThAr.0020.fits updated add EchelleThAr.0024.fits,dispaxis = 1 EchelleThAr.0024.fits updated add EchelleThAr.0029.fits,dispaxis = 1 EchelleThAr.0029.fits updated add EchelleThAr.0032.fits,dispaxis = 1 EchelleThAr.0032.fits updated add EchelleThAr.0036.fits,dispaxis = 1 EchelleThAr.0036.fits updated add EchelleThAr.0040.fits,dispaxis = 1 EchelleThAr.0040.fits updated FIXPIX: image EchelleFlat.0011.fits with mask echmask.pl FIXPIX: image EchelleFlat.0012.fits with mask echmask.pl FIXPIX: image EchelleFlat.0013.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0014.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0015.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0016.fits with mask echmask.pl FIXPIX: image 141028.0021.fits with mask echmask.pl FIXPIX: image 141028.0022.fits with mask echmask.pl FIXPIX: image 141028.0023.fits with mask echmask.pl FIXPIX: image 141028.0025.fits with mask echmask.pl FIXPIX: image 141028.0026.fits with mask echmask.pl FIXPIX: image 141028.0027.fits with mask echmask.pl FIXPIX: image 141028.0028.fits with mask echmask.pl FIXPIX: image 141028.0030.fits with mask echmask.pl FIXPIX: image 141028.0031.fits with mask echmask.pl FIXPIX: image 141028.0033.fits with mask echmask.pl FIXPIX: image 141028.0034.fits with mask echmask.pl FIXPIX: image 141028.0035.fits with mask echmask.pl FIXPIX: image 141028.0037.fits with mask echmask.pl FIXPIX: image 141028.0038.fits with mask echmask.pl FIXPIX: image 141028.0039.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl FIXPIX: image EchelleThAr.0018.fits with mask echmask.pl FIXPIX: image EchelleThAr.0019.fits with mask echmask.pl FIXPIX: image EchelleThAr.0020.fits with mask echmask.pl FIXPIX: image EchelleThAr.0024.fits with mask echmask.pl FIXPIX: image EchelleThAr.0029.fits with mask echmask.pl FIXPIX: image EchelleThAr.0032.fits with mask echmask.pl FIXPIX: image EchelleThAr.0036.fits with mask echmask.pl FIXPIX: image EchelleThAr.0040.fits with mask echmask.pl Nov 3 12:03: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp EchelleBias.0001.fits 0.0 EchelleBias.0002.fits 1.6 EchelleBias.0003.fits 0.0 EchelleBias.0004.fits 0.4 EchelleBias.0005.fits 0.0 EchelleBias.0006.fits 2.4 EchelleBias.0007.fits 0.0 EchelleBias.0008.fits 0.4 EchelleBias.0009.fits 0.0 EchelleBias.0010.fits 2.4 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 141028.0021.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] bias_fid: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0021.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0022.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0022.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0023.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0023.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0025.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0025.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0026.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0026.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0027.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0027.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0028.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0028.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0030.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0030.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0031.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0031.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0033.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0033.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0034.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0034.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0035.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0035.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0037.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0037.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0038.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0038.fits: Nov 3 12:03 Zero level correction image is bias_fid 141028.0039.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] 141028.0039.fits: Nov 3 12:03 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0011.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleFlat.0011.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleFlat.0012.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleFlat.0012.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleFlat.0013.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleFlat.0013.fits: Nov 3 12:03 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0014.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0014.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleFlatBlue.0015.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0015.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleFlatBlue.0016.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Nov 3 12:03 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleThAr.0018.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleThAr.0019.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleThAr.0019.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleThAr.0020.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleThAr.0020.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleThAr.0024.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleThAr.0024.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleThAr.0029.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleThAr.0029.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleThAr.0032.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleThAr.0032.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleThAr.0036.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleThAr.0036.fits: Nov 3 12:03 Zero level correction image is bias_fid EchelleThAr.0040.fits: Nov 3 12:03 Trim data section is [200:1850,1:2048] EchelleThAr.0040.fits: Nov 3 12:03 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Nov 3 12:04: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0014.fits 200.0 EchelleFlatBlue.0015.fits 200.0 EchelleFlatBlue.0016.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Nov 3 12:04: 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... Nov 3 12:04: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1630. Nov 3 12:04: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1631. Nov 3 12:04: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 1632. Nov 3 12:04: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1648. Nov 3 12:04: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1649. Nov 3 12:04: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1640. Nov 3 12:04: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1641. Nov 3 12:04: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 111. Nov 3 12:04: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 110. Nov 3 12:04: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 109. Nov 3 12:04: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1597. Nov 3 12:04: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1598. Nov 3 12:04: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1621. Nov 3 12:04: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1622. Nov 3 12:04: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1623. Nov 3 12:04: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1624. Nov 3 12:04: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1625. Nov 3 12:04: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1626. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1555. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1556. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1616. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1617. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1618. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1644. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1645. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1646. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1647. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1648. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 147. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 146. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 119. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 118. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 103. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 102. Nov 3 12:04: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 101. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1606. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1607. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1608. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1616. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1617. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1618. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1629. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1630. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 199. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 198. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 163. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 162. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 156. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 155. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 98. Nov 3 12:04: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 97. Nov 3 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1601. Nov 3 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1602. Nov 3 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1603. Nov 3 12:04: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 166. Nov 3 12:04: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 165. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1538. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1539. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1540. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1601. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1602. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1605. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1606. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1611. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1612. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1637. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1638. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 183. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 182. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 180. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 179. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 173. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 172. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 164. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 163. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 162. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 161. Nov 3 12:04: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 160. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1567. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1568. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1606. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1607. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1617. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1618. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1619. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 113. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 112. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 109. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 108. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 67. Nov 3 12:04: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 66. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1542. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1543. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1559. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1560. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1565. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1566. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1567. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1572. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1573. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1574. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1579. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1580. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1592. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1593. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1594. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 212. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 211. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 175. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 174. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 173. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 55. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 54. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 41. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 40. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 33. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 32. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 19. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 18. Nov 3 12:04: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 17. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1351. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1352. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1397. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1398. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1529. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1530. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1555. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1556. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1557. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1568. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1569. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1572. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1573. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1601. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1602. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1622. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1623. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1626. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1627. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 287. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 286. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 224. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 223. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 203. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 202. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 179. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 178. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 177. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 176. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 138. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 137. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 136. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 105. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 104. Nov 3 12:04: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 103. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1386. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1387. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1432. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1433. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1439. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1440. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1463. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1464. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1465. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1480. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1481. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1499. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1500. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1501. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1502. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1510. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1511. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1556. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1557. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1562. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1563. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1579. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1580. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1581. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1583. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1584. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1595. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1596. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1599. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1600. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1619. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1620. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1621. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 309. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 308. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 307. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 239. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 238. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 206. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 205. Nov 3 12:04: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 204. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1346. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1347. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1348. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1349. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1378. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1379. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1381. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1382. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1401. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1402. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1423. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1424. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1445. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1446. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1472. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1473. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1530. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1531. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1532. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1540. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1541. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1542. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1585. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1586. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1587. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1610. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1611. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1616. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1617. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1627. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1628. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1636. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1637. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1638. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 298. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 297. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 242. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 241. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 231. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 230. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 226. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 225. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 224. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 217. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 216. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 198. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 197. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 196. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 185. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 184. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 182. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 181. Nov 3 12:04: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 180. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1261. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1262. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1263. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 354. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 353. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 352. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 325. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 324. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 312. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 311. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 300. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 299. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 298. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 260. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 259. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 255. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 254. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 250. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 249. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 243. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 242. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 236. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 235. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 228. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 227. Nov 3 12:04: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 226. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1244. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1245. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1271. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1272. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1357. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1358. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1360. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1361. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1362. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1375. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1376. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1384. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1385. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1386. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1391. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1392. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1410. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1411. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1412. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1423. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1424. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1425. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1430. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1431. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1437. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1438. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1451. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1452. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1458. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1459. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1467. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1468. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1478. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1479. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1503. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1504. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1505. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 441. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 440. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 406. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 405. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 404. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 394. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 393. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 392. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 313. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 312. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 293. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 292. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 291. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 290. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 270. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 269. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 267. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 266. Nov 3 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 265. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1118. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1119. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1203. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1204. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1268. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1269. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1278. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1279. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1280. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1300. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1301. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1308. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1309. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1317. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1318. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1319. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 485. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 484. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 352. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 351. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 295. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 294. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 247. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 246. Nov 3 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 245. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 869. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 870. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 990. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 991. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 992. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1091. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 1092. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1113. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1114. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1115. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 550. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 549. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 548. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 547. Nov 3 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 546. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 15.02 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.0024.fits Magnify image EchelleThAr.0024.fits to image EchelleThAr.0024.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0024.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0024.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.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.0032.fits Magnify image EchelleThAr.0032.fits to image EchelleThAr.0032.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0032.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0032.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0036.fits Magnify image EchelleThAr.0036.fits to image EchelleThAr.0036.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0036.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0036.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0040.fits Magnify image EchelleThAr.0040.fits to image EchelleThAr.0040.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.0040.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0040.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141028.0021 Magnify image 141028.0021 to image 141028.0021. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141028.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0021 -> noscat141028.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141028.0022 Magnify image 141028.0022 to image 141028.0022. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141028.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0022 -> noscat141028.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:05: EXTRACT: WARNING - Aperture 1: Nov 3 12:05: Total variance weighted spectrum flux is 4648.302 Nov 3 12:05: Total unweighted spectrum flux is 1449.756 Nov 3 12:05: EXTRACT: Aperture 1 variance spectrum bias factor is 0.3118895 Nov 3 12:06: EXTRACT: WARNING - Aperture 105: Nov 3 12:06: Total variance weighted spectrum flux is 10090.08 Nov 3 12:06: Total unweighted spectrum flux is 3864.181 Nov 3 12:06: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3829685 Nov 3 12:06: EXTRACT: WARNING - Aperture 106: Nov 3 12:06: Total variance weighted spectrum flux is 4790.343 Nov 3 12:06: Total unweighted spectrum flux is 2360.274 Nov 3 12:06: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4927151 Nov 3 12:06: EXTRACT: WARNING - Aperture 107: Nov 3 12:06: Total variance weighted spectrum flux is 6893.872 Nov 3 12:06: Total unweighted spectrum flux is 2792.842 Nov 3 12:06: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4051195 Nov 3 12:06: EXTRACT: WARNING - Aperture 108: Nov 3 12:06: Total variance weighted spectrum flux is 7089.943 Nov 3 12:06: Total unweighted spectrum flux is 3145.623 Nov 3 12:06: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4436739 Nov 3 12:06: EXTRACT: WARNING - Aperture 109: Nov 3 12:06: Total variance weighted spectrum flux is 7027.85 Nov 3 12:06: Total unweighted spectrum flux is 3246.636 Nov 3 12:06: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4619672 Nov 3 12:06: EXTRACT: WARNING - Aperture 110: Nov 3 12:06: Total variance weighted spectrum flux is 9234.959 Nov 3 12:06: Total unweighted spectrum flux is 3422.211 Nov 3 12:06: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3705713 Nov 3 12:06: EXTRACT: WARNING - Aperture 111: Nov 3 12:06: Total variance weighted spectrum flux is 7994.473 Nov 3 12:06: Total unweighted spectrum flux is 1396.496 Nov 3 12:06: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1746826 Nov 3 12:06: EXTRACT: WARNING - Aperture 113: Nov 3 12:06: Total variance weighted spectrum flux is 9047.217 Nov 3 12:06: Total unweighted spectrum flux is 2764.574 Nov 3 12:06: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3055718 Nov 3 12:06: EXTRACT: WARNING - Aperture 114: Nov 3 12:06: Total variance weighted spectrum flux is 2220.801 Nov 3 12:06: Total unweighted spectrum flux is 433.1468 Nov 3 12:06: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1950408 Nov 3 12:06: EXTRACT: WARNING - Aperture 115: Nov 3 12:06: Total variance weighted spectrum flux is 2506.935 Nov 3 12:06: Total unweighted spectrum flux is 102.7038 Nov 3 12:06: EXTRACT: Aperture 115 variance spectrum bias factor is 0.04096786 Resampling the object by a factor of 4 in the y direction... 141028.0023 Magnify image 141028.0023 to image 141028.0023. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141028.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0023 -> noscat141028.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:07: EXTRACT: WARNING - Aperture 113: Nov 3 12:07: Total variance weighted spectrum flux is 5053.909 Nov 3 12:07: Total unweighted spectrum flux is 2249.069 Nov 3 12:07: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4450156 Nov 3 12:07: EXTRACT: WARNING - Aperture 114: Nov 3 12:07: Total variance weighted spectrum flux is 2880.472 Nov 3 12:07: Total unweighted spectrum flux is 1205.859 Nov 3 12:07: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4186326 Nov 3 12:07: EXTRACT: WARNING - Aperture 115: Nov 3 12:07: Total variance weighted spectrum flux is 4947.067 Nov 3 12:07: Total unweighted spectrum flux is 2038.528 Nov 3 12:07: EXTRACT: Aperture 115 variance spectrum bias factor is 0.4120679 Resampling the object by a factor of 4 in the y direction... 141028.0025 Magnify image 141028.0025 to image 141028.0025. 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 141028.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0025 -> noscat141028.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:07: EXTRACT: WARNING - Aperture 111: Nov 3 12:07: Total variance weighted spectrum flux is 8635.05 Nov 3 12:07: Total unweighted spectrum flux is 4277.249 Nov 3 12:07: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4953357 Nov 3 12:07: EXTRACT: WARNING - Aperture 113: Nov 3 12:07: Total variance weighted spectrum flux is 4921.989 Nov 3 12:07: Total unweighted spectrum flux is 1620.868 Nov 3 12:07: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3293116 Nov 3 12:07: EXTRACT: WARNING - Aperture 114: Nov 3 12:07: Total variance weighted spectrum flux is 4933.142 Nov 3 12:07: Total unweighted spectrum flux is 2328.223 Nov 3 12:07: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4719554 Resampling the object by a factor of 4 in the y direction... 141028.0026 Magnify image 141028.0026 to image 141028.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141028.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0026 -> noscat141028.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:08: EXTRACT: WARNING - Aperture 110: Nov 3 12:08: Total variance weighted spectrum flux is 10419.57 Nov 3 12:08: Total unweighted spectrum flux is 4483.438 Nov 3 12:08: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4302901 Nov 3 12:08: EXTRACT: WARNING - Aperture 113: Nov 3 12:08: Total variance weighted spectrum flux is 5110.664 Nov 3 12:08: Total unweighted spectrum flux is 2138.615 Nov 3 12:08: EXTRACT: Aperture 113 variance spectrum bias factor is 0.4184613 Nov 3 12:08: EXTRACT: WARNING - Aperture 114: Nov 3 12:08: Total variance weighted spectrum flux is 9791.553 Nov 3 12:08: Total unweighted spectrum flux is 4115.576 Nov 3 12:08: EXTRACT: Aperture 114 variance spectrum bias factor is 0.420319 Nov 3 12:08: EXTRACT: WARNING - Aperture 115: Nov 3 12:08: Total variance weighted spectrum flux is 436.9467 Nov 3 12:08: Total unweighted spectrum flux is -988.0742 Nov 3 12:08: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141028.0027 Magnify image 141028.0027 to image 141028.0027. 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 141028.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0027 -> noscat141028.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 141028.0028 Magnify image 141028.0028 to image 141028.0028. 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 141028.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0028 -> noscat141028.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:10: EXTRACT: WARNING - Aperture 99: Nov 3 12:10: Total variance weighted spectrum flux is 10470.83 Nov 3 12:10: Total unweighted spectrum flux is 5092.414 Nov 3 12:10: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4863428 Nov 3 12:10: EXTRACT: WARNING - Aperture 103: Nov 3 12:10: Total variance weighted spectrum flux is 15542.36 Nov 3 12:10: Total unweighted spectrum flux is 6134.785 Nov 3 12:10: EXTRACT: Aperture 103 variance spectrum bias factor is 0.3947138 Nov 3 12:10: EXTRACT: WARNING - Aperture 104: Nov 3 12:10: Total variance weighted spectrum flux is 4533.176 Nov 3 12:10: Total unweighted spectrum flux is 1705.446 Nov 3 12:10: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3762145 Nov 3 12:10: EXTRACT: WARNING - Aperture 105: Nov 3 12:10: Total variance weighted spectrum flux is 7749.887 Nov 3 12:10: Total unweighted spectrum flux is -1093.039 Nov 3 12:10: Variance spectrum bias factor ignored Nov 3 12:10: EXTRACT: WARNING - Aperture 106: Nov 3 12:10: Total variance weighted spectrum flux is 6801.5 Nov 3 12:10: Total unweighted spectrum flux is 2455.465 Nov 3 12:10: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3610182 Nov 3 12:10: EXTRACT: WARNING - Aperture 107: Nov 3 12:10: Total variance weighted spectrum flux is 14084.66 Nov 3 12:10: Total unweighted spectrum flux is 4003.935 Nov 3 12:10: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2842763 Nov 3 12:10: EXTRACT: WARNING - Aperture 108: Nov 3 12:10: Total variance weighted spectrum flux is 3756.331 Nov 3 12:10: Total unweighted spectrum flux is 1357.761 Nov 3 12:10: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3614593 Nov 3 12:10: EXTRACT: WARNING - Aperture 109: Nov 3 12:10: Total variance weighted spectrum flux is 5566.873 Nov 3 12:10: Total unweighted spectrum flux is 741.9443 Nov 3 12:10: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1332785 Nov 3 12:10: EXTRACT: WARNING - Aperture 110: Nov 3 12:10: Total variance weighted spectrum flux is 4305.856 Nov 3 12:10: Total unweighted spectrum flux is 1574.487 Nov 3 12:10: EXTRACT: Aperture 110 variance spectrum bias factor is 0.3656617 Nov 3 12:10: EXTRACT: WARNING - Aperture 111: Nov 3 12:10: Total variance weighted spectrum flux is 5812.206 Nov 3 12:10: Total unweighted spectrum flux is 982.7132 Nov 3 12:10: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1690775 Nov 3 12:10: EXTRACT: WARNING - Aperture 112: Nov 3 12:10: Total variance weighted spectrum flux is 3418.349 Nov 3 12:10: Total unweighted spectrum flux is 849.2962 Nov 3 12:10: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2484522 Nov 3 12:10: EXTRACT: WARNING - Aperture 113: Nov 3 12:10: Total variance weighted spectrum flux is 3979.843 Nov 3 12:10: Total unweighted spectrum flux is 490.8537 Nov 3 12:10: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1233349 Nov 3 12:10: EXTRACT: WARNING - Aperture 114: Nov 3 12:10: Total variance weighted spectrum flux is 2166.724 Nov 3 12:10: Total unweighted spectrum flux is -418.3231 Nov 3 12:10: Variance spectrum bias factor ignored Nov 3 12:10: EXTRACT: WARNING - Aperture 115: Nov 3 12:10: Total variance weighted spectrum flux is 1866.348 Nov 3 12:10: Total unweighted spectrum flux is -786.2633 Nov 3 12:10: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141028.0030 Magnify image 141028.0030 to image 141028.0030. 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 141028.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0030 -> noscat141028.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:11: EXTRACT: WARNING - Aperture 102: Nov 3 12:11: Total variance weighted spectrum flux is 9699.987 Nov 3 12:11: Total unweighted spectrum flux is 1490.596 Nov 3 12:11: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1536699 Nov 3 12:11: EXTRACT: WARNING - Aperture 104: Nov 3 12:11: Total variance weighted spectrum flux is 10257.43 Nov 3 12:11: Total unweighted spectrum flux is 5105.353 Nov 3 12:11: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4977226 Nov 3 12:11: EXTRACT: WARNING - Aperture 105: Nov 3 12:11: Total variance weighted spectrum flux is 6010.916 Nov 3 12:11: Total unweighted spectrum flux is 1454.962 Nov 3 12:11: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2420533 Nov 3 12:11: EXTRACT: WARNING - Aperture 106: Nov 3 12:11: Total variance weighted spectrum flux is 6145.009 Nov 3 12:11: Total unweighted spectrum flux is 1841.482 Nov 3 12:11: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2996711 Nov 3 12:11: EXTRACT: WARNING - Aperture 107: Nov 3 12:11: Total variance weighted spectrum flux is 6160.044 Nov 3 12:11: Total unweighted spectrum flux is 1666.346 Nov 3 12:11: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2705088 Nov 3 12:11: EXTRACT: WARNING - Aperture 108: Nov 3 12:11: Total variance weighted spectrum flux is 7300.345 Nov 3 12:11: Total unweighted spectrum flux is 1543.763 Nov 3 12:11: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2114643 Nov 3 12:11: EXTRACT: WARNING - Aperture 109: Nov 3 12:11: Total variance weighted spectrum flux is 7856.675 Nov 3 12:11: Total unweighted spectrum flux is 1503.893 Nov 3 12:11: EXTRACT: Aperture 109 variance spectrum bias factor is 0.191416 Nov 3 12:11: EXTRACT: WARNING - Aperture 110: Nov 3 12:11: Total variance weighted spectrum flux is 3912.075 Nov 3 12:11: Total unweighted spectrum flux is 907.9877 Nov 3 12:11: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2320987 Nov 3 12:11: EXTRACT: WARNING - Aperture 111: Nov 3 12:11: Total variance weighted spectrum flux is 6093.426 Nov 3 12:11: Total unweighted spectrum flux is 1505.093 Nov 3 12:11: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2470028 Nov 3 12:11: EXTRACT: WARNING - Aperture 112: Nov 3 12:11: Total variance weighted spectrum flux is 3138.54 Nov 3 12:11: Total unweighted spectrum flux is 74.60577 Nov 3 12:11: EXTRACT: Aperture 112 variance spectrum bias factor is 0.02377085 Nov 3 12:11: EXTRACT: WARNING - Aperture 113: Nov 3 12:11: Total variance weighted spectrum flux is 1009.439 Nov 3 12:11: Total unweighted spectrum flux is 329.465 Nov 3 12:11: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3263842 Nov 3 12:11: EXTRACT: WARNING - Aperture 114: Nov 3 12:11: Total variance weighted spectrum flux is 1851.681 Nov 3 12:11: Total unweighted spectrum flux is -247.658 Nov 3 12:11: Variance spectrum bias factor ignored Nov 3 12:11: EXTRACT: WARNING - Aperture 115: Nov 3 12:11: Total variance weighted spectrum flux is 3819.432 Nov 3 12:11: Total unweighted spectrum flux is 838.2573 Nov 3 12:11: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2194717 Resampling the object by a factor of 4 in the y direction... 141028.0031 Magnify image 141028.0031 to image 141028.0031. 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 141028.0031,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0031 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0031 -> noscat141028.0031 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:12: EXTRACT: WARNING - Aperture 1: Nov 3 12:12: Total variance weighted spectrum flux is 7938.694 Nov 3 12:12: Total unweighted spectrum flux is 1534.043 Nov 3 12:12: EXTRACT: Aperture 1 variance spectrum bias factor is 0.1932362 Nov 3 12:12: EXTRACT: WARNING - Aperture 91: Nov 3 12:12: Total variance weighted spectrum flux is 6016.496 Nov 3 12:12: Total unweighted spectrum flux is 1046.354 Nov 3 12:12: EXTRACT: Aperture 91 variance spectrum bias factor is 0.1739143 Nov 3 12:12: EXTRACT: WARNING - Aperture 94: Nov 3 12:12: Total variance weighted spectrum flux is 7843.811 Nov 3 12:12: Total unweighted spectrum flux is 3530.367 Nov 3 12:12: EXTRACT: Aperture 94 variance spectrum bias factor is 0.4500832 Nov 3 12:12: EXTRACT: WARNING - Aperture 95: Nov 3 12:12: Total variance weighted spectrum flux is 8806.953 Nov 3 12:12: Total unweighted spectrum flux is 3778.185 Nov 3 12:12: EXTRACT: Aperture 95 variance spectrum bias factor is 0.4290002 Nov 3 12:12: EXTRACT: WARNING - Aperture 96: Nov 3 12:12: Total variance weighted spectrum flux is 7908.79 Nov 3 12:12: Total unweighted spectrum flux is 3204.042 Nov 3 12:12: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4051242 Nov 3 12:12: EXTRACT: WARNING - Aperture 97: Nov 3 12:12: Total variance weighted spectrum flux is 12551.48 Nov 3 12:12: Total unweighted spectrum flux is 6106.243 Nov 3 12:12: EXTRACT: Aperture 97 variance spectrum bias factor is 0.4864959 Nov 3 12:12: EXTRACT: WARNING - Aperture 98: Nov 3 12:12: Total variance weighted spectrum flux is 10339.63 Nov 3 12:12: Total unweighted spectrum flux is 2737.48 Nov 3 12:12: EXTRACT: Aperture 98 variance spectrum bias factor is 0.2647561 Nov 3 12:12: EXTRACT: WARNING - Aperture 99: Nov 3 12:12: Total variance weighted spectrum flux is 6816.257 Nov 3 12:12: Total unweighted spectrum flux is 3142.573 Nov 3 12:12: EXTRACT: Aperture 99 variance spectrum bias factor is 0.4610408 Nov 3 12:12: EXTRACT: WARNING - Aperture 100: Nov 3 12:12: Total variance weighted spectrum flux is 11797.38 Nov 3 12:12: Total unweighted spectrum flux is 4102.792 Nov 3 12:12: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3477716 Nov 3 12:12: EXTRACT: WARNING - Aperture 101: Nov 3 12:12: Total variance weighted spectrum flux is 7855.765 Nov 3 12:12: Total unweighted spectrum flux is 1226.205 Nov 3 12:12: EXTRACT: Aperture 101 variance spectrum bias factor is 0.1560898 Nov 3 12:12: EXTRACT: WARNING - Aperture 102: Nov 3 12:12: Total variance weighted spectrum flux is 5610.147 Nov 3 12:12: Total unweighted spectrum flux is 612.0781 Nov 3 12:12: EXTRACT: Aperture 102 variance spectrum bias factor is 0.109102 Nov 3 12:12: EXTRACT: WARNING - Aperture 103: Nov 3 12:12: Total variance weighted spectrum flux is 9176.867 Nov 3 12:12: Total unweighted spectrum flux is 648.9639 Nov 3 12:12: EXTRACT: Aperture 103 variance spectrum bias factor is 0.07071736 Nov 3 12:12: EXTRACT: WARNING - Aperture 104: Nov 3 12:12: Total variance weighted spectrum flux is 6378.241 Nov 3 12:12: Total unweighted spectrum flux is 1938.502 Nov 3 12:12: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3039242 Nov 3 12:12: EXTRACT: WARNING - Aperture 105: Nov 3 12:12: Total variance weighted spectrum flux is 10159.51 Nov 3 12:12: Total unweighted spectrum flux is 2528.916 Nov 3 12:12: EXTRACT: Aperture 105 variance spectrum bias factor is 0.2489209 Nov 3 12:12: EXTRACT: WARNING - Aperture 106: Nov 3 12:12: Total variance weighted spectrum flux is 4146.317 Nov 3 12:12: Total unweighted spectrum flux is 990.0153 Nov 3 12:12: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2387698 Nov 3 12:12: EXTRACT: WARNING - Aperture 107: Nov 3 12:12: Total variance weighted spectrum flux is 7259.093 Nov 3 12:12: Total unweighted spectrum flux is 365.3456 Nov 3 12:12: EXTRACT: Aperture 107 variance spectrum bias factor is 0.05032936 Nov 3 12:12: EXTRACT: WARNING - Aperture 108: Nov 3 12:12: Total variance weighted spectrum flux is 9896.598 Nov 3 12:12: Total unweighted spectrum flux is 1057.172 Nov 3 12:12: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1068218 Nov 3 12:12: EXTRACT: WARNING - Aperture 109: Nov 3 12:12: Total variance weighted spectrum flux is 4038.026 Nov 3 12:12: Total unweighted spectrum flux is 1062.994 Nov 3 12:12: EXTRACT: Aperture 109 variance spectrum bias factor is 0.263246 Nov 3 12:12: EXTRACT: WARNING - Aperture 110: Nov 3 12:12: Total variance weighted spectrum flux is 4068.888 Nov 3 12:12: Total unweighted spectrum flux is 1347.302 Nov 3 12:12: EXTRACT: Aperture 110 variance spectrum bias factor is 0.331123 Nov 3 12:12: EXTRACT: WARNING - Aperture 111: Nov 3 12:12: Total variance weighted spectrum flux is 3825.903 Nov 3 12:12: Total unweighted spectrum flux is 633.3744 Nov 3 12:12: EXTRACT: Aperture 111 variance spectrum bias factor is 0.165549 Nov 3 12:13: EXTRACT: WARNING - Aperture 112: Nov 3 12:13: Total variance weighted spectrum flux is 5077.075 Nov 3 12:13: Total unweighted spectrum flux is 716.9265 Nov 3 12:13: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1412086 Nov 3 12:13: EXTRACT: WARNING - Aperture 113: Nov 3 12:13: Total variance weighted spectrum flux is 769.2851 Nov 3 12:13: Total unweighted spectrum flux is 118.5007 Nov 3 12:13: EXTRACT: Aperture 113 variance spectrum bias factor is 0.15404 Nov 3 12:13: EXTRACT: WARNING - Aperture 114: Nov 3 12:13: Total variance weighted spectrum flux is 2057.086 Nov 3 12:13: Total unweighted spectrum flux is -1341.559 Nov 3 12:13: Variance spectrum bias factor ignored Nov 3 12:13: EXTRACT: WARNING - Aperture 115: Nov 3 12:13: Total variance weighted spectrum flux is 764.7209 Nov 3 12:13: Total unweighted spectrum flux is -577.3497 Nov 3 12:13: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141028.0033 Magnify image 141028.0033 to image 141028.0033. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141028.0033,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0033 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0033 -> noscat141028.0033 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:14: EXTRACT: WARNING - Aperture 94: Nov 3 12:14: Total variance weighted spectrum flux is 6595.951 Nov 3 12:14: Total unweighted spectrum flux is 2553.706 Nov 3 12:14: EXTRACT: Aperture 94 variance spectrum bias factor is 0.3871627 Nov 3 12:14: EXTRACT: WARNING - Aperture 95: Nov 3 12:14: Total variance weighted spectrum flux is 4639.465 Nov 3 12:14: Total unweighted spectrum flux is 2308.303 Nov 3 12:14: EXTRACT: Aperture 95 variance spectrum bias factor is 0.4975365 Nov 3 12:14: EXTRACT: WARNING - Aperture 96: Nov 3 12:14: Total variance weighted spectrum flux is 12363.11 Nov 3 12:14: Total unweighted spectrum flux is 5293.138 Nov 3 12:14: EXTRACT: Aperture 96 variance spectrum bias factor is 0.4281397 Nov 3 12:14: EXTRACT: WARNING - Aperture 97: Nov 3 12:14: Total variance weighted spectrum flux is 5773.214 Nov 3 12:14: Total unweighted spectrum flux is 1563.658 Nov 3 12:14: EXTRACT: Aperture 97 variance spectrum bias factor is 0.2708471 Nov 3 12:14: EXTRACT: WARNING - Aperture 99: Nov 3 12:14: Total variance weighted spectrum flux is 7115.125 Nov 3 12:14: Total unweighted spectrum flux is 460.7629 Nov 3 12:14: EXTRACT: Aperture 99 variance spectrum bias factor is 0.06475823 Nov 3 12:14: EXTRACT: WARNING - Aperture 100: Nov 3 12:14: Total variance weighted spectrum flux is 4129.172 Nov 3 12:14: Total unweighted spectrum flux is 1545.142 Nov 3 12:14: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3742013 Nov 3 12:14: EXTRACT: WARNING - Aperture 101: Nov 3 12:14: Total variance weighted spectrum flux is 7682.319 Nov 3 12:14: Total unweighted spectrum flux is 2028.531 Nov 3 12:14: EXTRACT: Aperture 101 variance spectrum bias factor is 0.2640519 Nov 3 12:14: EXTRACT: WARNING - Aperture 102: Nov 3 12:14: Total variance weighted spectrum flux is 13157.81 Nov 3 12:14: Total unweighted spectrum flux is 2956.53 Nov 3 12:14: EXTRACT: Aperture 102 variance spectrum bias factor is 0.2246978 Nov 3 12:14: EXTRACT: WARNING - Aperture 103: Nov 3 12:14: Total variance weighted spectrum flux is 4389.74 Nov 3 12:14: Total unweighted spectrum flux is 1761.977 Nov 3 12:14: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4013852 Nov 3 12:14: EXTRACT: WARNING - Aperture 104: Nov 3 12:14: Total variance weighted spectrum flux is 3991.789 Nov 3 12:14: Total unweighted spectrum flux is 1301.701 Nov 3 12:14: EXTRACT: Aperture 104 variance spectrum bias factor is 0.3260946 Nov 3 12:14: EXTRACT: WARNING - Aperture 105: Nov 3 12:14: Total variance weighted spectrum flux is 5466.513 Nov 3 12:14: Total unweighted spectrum flux is -613.2077 Nov 3 12:14: Variance spectrum bias factor ignored Nov 3 12:14: EXTRACT: WARNING - Aperture 106: Nov 3 12:14: Total variance weighted spectrum flux is 6518.498 Nov 3 12:14: Total unweighted spectrum flux is 1885.532 Nov 3 12:14: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2892587 Nov 3 12:14: EXTRACT: WARNING - Aperture 107: Nov 3 12:14: Total variance weighted spectrum flux is 9347.85 Nov 3 12:14: Total unweighted spectrum flux is 417.6478 Nov 3 12:14: EXTRACT: Aperture 107 variance spectrum bias factor is 0.04467849 Nov 3 12:14: EXTRACT: WARNING - Aperture 108: Nov 3 12:14: Total variance weighted spectrum flux is 3537.771 Nov 3 12:14: Total unweighted spectrum flux is 716.0079 Nov 3 12:14: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2023895 Nov 3 12:14: EXTRACT: WARNING - Aperture 109: Nov 3 12:14: Total variance weighted spectrum flux is 6420.122 Nov 3 12:14: Total unweighted spectrum flux is 821.6132 Nov 3 12:14: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1279747 Nov 3 12:14: EXTRACT: WARNING - Aperture 110: Nov 3 12:14: Total variance weighted spectrum flux is 3202.602 Nov 3 12:14: Total unweighted spectrum flux is 299.8264 Nov 3 12:14: EXTRACT: Aperture 110 variance spectrum bias factor is 0.09361961 Nov 3 12:14: EXTRACT: WARNING - Aperture 111: Nov 3 12:14: Total variance weighted spectrum flux is 4395.324 Nov 3 12:14: Total unweighted spectrum flux is 1068.562 Nov 3 12:14: EXTRACT: Aperture 111 variance spectrum bias factor is 0.2431133 Nov 3 12:14: EXTRACT: WARNING - Aperture 112: Nov 3 12:14: Total variance weighted spectrum flux is 1294.432 Nov 3 12:14: Total unweighted spectrum flux is 467.8859 Nov 3 12:14: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3614605 Nov 3 12:14: EXTRACT: WARNING - Aperture 113: Nov 3 12:14: Total variance weighted spectrum flux is 2428.992 Nov 3 12:14: Total unweighted spectrum flux is 456.6849 Nov 3 12:14: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1880142 Nov 3 12:14: EXTRACT: WARNING - Aperture 114: Nov 3 12:14: Total variance weighted spectrum flux is 4614.733 Nov 3 12:14: Total unweighted spectrum flux is -3.658701 Nov 3 12:14: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141028.0034 Magnify image 141028.0034 to image 141028.0034. 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 141028.0034,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0034 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0034 -> noscat141028.0034 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:14: EXTRACT: WARNING - Aperture 1: Nov 3 12:14: Total variance weighted spectrum flux is 5170.138 Nov 3 12:14: Total unweighted spectrum flux is 2506.027 Nov 3 12:14: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4847118 Nov 3 12:15: EXTRACT: WARNING - Aperture 91: Nov 3 12:15: Total variance weighted spectrum flux is 4326.881 Nov 3 12:15: Total unweighted spectrum flux is 2012.685 Nov 3 12:15: EXTRACT: Aperture 91 variance spectrum bias factor is 0.4651583 Nov 3 12:15: EXTRACT: WARNING - Aperture 92: Nov 3 12:15: Total variance weighted spectrum flux is 6799.548 Nov 3 12:15: Total unweighted spectrum flux is 2531.223 Nov 3 12:15: EXTRACT: Aperture 92 variance spectrum bias factor is 0.3722634 Nov 3 12:15: EXTRACT: WARNING - Aperture 93: Nov 3 12:15: Total variance weighted spectrum flux is 14683.94 Nov 3 12:15: Total unweighted spectrum flux is 5802.717 Nov 3 12:15: EXTRACT: Aperture 93 variance spectrum bias factor is 0.3951743 Nov 3 12:15: EXTRACT: WARNING - Aperture 94: Nov 3 12:15: Total variance weighted spectrum flux is 7185.718 Nov 3 12:15: Total unweighted spectrum flux is 1826.819 Nov 3 12:15: EXTRACT: Aperture 94 variance spectrum bias factor is 0.2542291 Nov 3 12:15: EXTRACT: WARNING - Aperture 95: Nov 3 12:15: Total variance weighted spectrum flux is 7189.864 Nov 3 12:15: Total unweighted spectrum flux is -421.8306 Nov 3 12:15: Variance spectrum bias factor ignored Nov 3 12:15: EXTRACT: WARNING - Aperture 96: Nov 3 12:15: Total variance weighted spectrum flux is 4951.361 Nov 3 12:15: Total unweighted spectrum flux is 618.2102 Nov 3 12:15: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1248566 Nov 3 12:15: EXTRACT: WARNING - Aperture 97: Nov 3 12:15: Total variance weighted spectrum flux is 9125.78 Nov 3 12:15: Total unweighted spectrum flux is 2093.027 Nov 3 12:15: EXTRACT: Aperture 97 variance spectrum bias factor is 0.2293532 Nov 3 12:15: EXTRACT: WARNING - Aperture 98: Nov 3 12:15: Total variance weighted spectrum flux is 6052.799 Nov 3 12:15: Total unweighted spectrum flux is 2188.922 Nov 3 12:15: EXTRACT: Aperture 98 variance spectrum bias factor is 0.3616379 Nov 3 12:15: EXTRACT: WARNING - Aperture 99: Nov 3 12:15: Total variance weighted spectrum flux is 10022.79 Nov 3 12:15: Total unweighted spectrum flux is 303.9773 Nov 3 12:15: EXTRACT: Aperture 99 variance spectrum bias factor is 0.03032863 Nov 3 12:15: EXTRACT: WARNING - Aperture 100: Nov 3 12:15: Total variance weighted spectrum flux is 7969.294 Nov 3 12:15: Total unweighted spectrum flux is 2609.396 Nov 3 12:15: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3274312 Nov 3 12:15: EXTRACT: WARNING - Aperture 101: Nov 3 12:15: Total variance weighted spectrum flux is 11110.18 Nov 3 12:15: Total unweighted spectrum flux is -2006.893 Nov 3 12:15: Variance spectrum bias factor ignored Nov 3 12:15: EXTRACT: WARNING - Aperture 102: Nov 3 12:15: Total variance weighted spectrum flux is 7837.863 Nov 3 12:15: Total unweighted spectrum flux is 1366.37 Nov 3 12:15: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1743294 Nov 3 12:15: EXTRACT: WARNING - Aperture 103: Nov 3 12:15: Total variance weighted spectrum flux is 3180.024 Nov 3 12:15: Total unweighted spectrum flux is 425.8357 Nov 3 12:15: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1339096 Nov 3 12:15: EXTRACT: WARNING - Aperture 104: Nov 3 12:15: Total variance weighted spectrum flux is 3458.698 Nov 3 12:15: Total unweighted spectrum flux is 547.4683 Nov 3 12:15: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1582874 Nov 3 12:15: EXTRACT: WARNING - Aperture 105: Nov 3 12:15: Total variance weighted spectrum flux is 5666.758 Nov 3 12:15: Total unweighted spectrum flux is -1372.123 Nov 3 12:15: Variance spectrum bias factor ignored Nov 3 12:15: EXTRACT: WARNING - Aperture 106: Nov 3 12:15: Total variance weighted spectrum flux is 6717.058 Nov 3 12:15: Total unweighted spectrum flux is 83.24818 Nov 3 12:15: EXTRACT: Aperture 106 variance spectrum bias factor is 0.01239355 Nov 3 12:15: EXTRACT: WARNING - Aperture 107: Nov 3 12:15: Total variance weighted spectrum flux is 5961.095 Nov 3 12:15: Total unweighted spectrum flux is 1130.516 Nov 3 12:15: EXTRACT: Aperture 107 variance spectrum bias factor is 0.189649 Nov 3 12:15: EXTRACT: WARNING - Aperture 108: Nov 3 12:15: Total variance weighted spectrum flux is 5559.864 Nov 3 12:15: Total unweighted spectrum flux is 909.2845 Nov 3 12:15: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1635444 Nov 3 12:15: EXTRACT: WARNING - Aperture 109: Nov 3 12:15: Total variance weighted spectrum flux is 7096.455 Nov 3 12:15: Total unweighted spectrum flux is 50.93798 Nov 3 12:15: EXTRACT: Aperture 109 variance spectrum bias factor is 0.007177947 Nov 3 12:15: EXTRACT: WARNING - Aperture 110: Nov 3 12:15: Total variance weighted spectrum flux is 3520.493 Nov 3 12:15: Total unweighted spectrum flux is 375.966 Nov 3 12:15: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1067936 Nov 3 12:15: EXTRACT: WARNING - Aperture 111: Nov 3 12:15: Total variance weighted spectrum flux is 5946.705 Nov 3 12:15: Total unweighted spectrum flux is 1176.507 Nov 3 12:15: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1978418 Nov 3 12:15: EXTRACT: WARNING - Aperture 112: Nov 3 12:15: Total variance weighted spectrum flux is 2484.971 Nov 3 12:15: Total unweighted spectrum flux is -262.1785 Nov 3 12:15: Variance spectrum bias factor ignored Nov 3 12:15: EXTRACT: WARNING - Aperture 113: Nov 3 12:15: Total variance weighted spectrum flux is 5334.74 Nov 3 12:15: Total unweighted spectrum flux is -81.15676 Nov 3 12:15: Variance spectrum bias factor ignored Nov 3 12:15: EXTRACT: WARNING - Aperture 114: Nov 3 12:15: Total variance weighted spectrum flux is 5573.386 Nov 3 12:15: Total unweighted spectrum flux is 1414.483 Nov 3 12:15: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2537925 Nov 3 12:15: EXTRACT: WARNING - Aperture 115: Nov 3 12:15: Total variance weighted spectrum flux is 2851.396 Nov 3 12:15: Total unweighted spectrum flux is -451.2076 Nov 3 12:15: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141028.0035 Magnify image 141028.0035 to image 141028.0035. 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 141028.0035,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0035 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0035 -> noscat141028.0035 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:16: EXTRACT: WARNING - Aperture 95: Nov 3 12:16: Total variance weighted spectrum flux is 10102.33 Nov 3 12:16: Total unweighted spectrum flux is 4750.507 Nov 3 12:16: EXTRACT: Aperture 95 variance spectrum bias factor is 0.470239 Nov 3 12:16: EXTRACT: WARNING - Aperture 96: Nov 3 12:16: Total variance weighted spectrum flux is 6000.039 Nov 3 12:16: Total unweighted spectrum flux is 835.6514 Nov 3 12:16: EXTRACT: Aperture 96 variance spectrum bias factor is 0.1392743 Nov 3 12:16: EXTRACT: WARNING - Aperture 99: Nov 3 12:16: Total variance weighted spectrum flux is 14835.97 Nov 3 12:16: Total unweighted spectrum flux is 5574.783 Nov 3 12:16: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3757612 Nov 3 12:16: EXTRACT: WARNING - Aperture 100: Nov 3 12:16: Total variance weighted spectrum flux is 9089.102 Nov 3 12:16: Total unweighted spectrum flux is 3338.335 Nov 3 12:16: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3672898 Nov 3 12:16: EXTRACT: WARNING - Aperture 101: Nov 3 12:16: Total variance weighted spectrum flux is 11560.3 Nov 3 12:16: Total unweighted spectrum flux is 5080.804 Nov 3 12:16: EXTRACT: Aperture 101 variance spectrum bias factor is 0.4395044 Nov 3 12:16: EXTRACT: WARNING - Aperture 102: Nov 3 12:16: Total variance weighted spectrum flux is 7123.939 Nov 3 12:16: Total unweighted spectrum flux is 2622.482 Nov 3 12:16: EXTRACT: Aperture 102 variance spectrum bias factor is 0.3681225 Nov 3 12:16: EXTRACT: WARNING - Aperture 103: Nov 3 12:16: Total variance weighted spectrum flux is 6776.539 Nov 3 12:16: Total unweighted spectrum flux is 931.7355 Nov 3 12:16: EXTRACT: Aperture 103 variance spectrum bias factor is 0.1374943 Nov 3 12:16: EXTRACT: WARNING - Aperture 104: Nov 3 12:16: Total variance weighted spectrum flux is 7828.143 Nov 3 12:16: Total unweighted spectrum flux is -246.6216 Nov 3 12:16: Variance spectrum bias factor ignored Nov 3 12:16: EXTRACT: WARNING - Aperture 105: Nov 3 12:16: Total variance weighted spectrum flux is 7216.465 Nov 3 12:16: Total unweighted spectrum flux is 645.5543 Nov 3 12:16: EXTRACT: Aperture 105 variance spectrum bias factor is 0.08945575 Nov 3 12:16: EXTRACT: WARNING - Aperture 106: Nov 3 12:16: Total variance weighted spectrum flux is 5900.479 Nov 3 12:16: Total unweighted spectrum flux is 654.6033 Nov 3 12:16: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1109407 Nov 3 12:16: EXTRACT: WARNING - Aperture 107: Nov 3 12:16: Total variance weighted spectrum flux is 4771.018 Nov 3 12:16: Total unweighted spectrum flux is 329.4112 Nov 3 12:16: EXTRACT: Aperture 107 variance spectrum bias factor is 0.06904421 Nov 3 12:16: EXTRACT: WARNING - Aperture 108: Nov 3 12:16: Total variance weighted spectrum flux is 8857.148 Nov 3 12:16: Total unweighted spectrum flux is 805.0315 Nov 3 12:16: EXTRACT: Aperture 108 variance spectrum bias factor is 0.09089059 Nov 3 12:16: EXTRACT: WARNING - Aperture 109: Nov 3 12:16: Total variance weighted spectrum flux is 5351.526 Nov 3 12:16: Total unweighted spectrum flux is 604.4197 Nov 3 12:16: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1129434 Nov 3 12:16: EXTRACT: WARNING - Aperture 110: Nov 3 12:16: Total variance weighted spectrum flux is 9547.288 Nov 3 12:16: Total unweighted spectrum flux is 1646.864 Nov 3 12:16: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1724955 Nov 3 12:16: EXTRACT: WARNING - Aperture 111: Nov 3 12:16: Total variance weighted spectrum flux is 7643.458 Nov 3 12:16: Total unweighted spectrum flux is 16.6583 Nov 3 12:16: EXTRACT: Aperture 111 variance spectrum bias factor is 0.002179419 Nov 3 12:16: EXTRACT: WARNING - Aperture 112: Nov 3 12:16: Total variance weighted spectrum flux is 1292.259 Nov 3 12:16: Total unweighted spectrum flux is -420.6574 Nov 3 12:16: Variance spectrum bias factor ignored Nov 3 12:16: EXTRACT: WARNING - Aperture 113: Nov 3 12:16: Total variance weighted spectrum flux is 3053.757 Nov 3 12:16: Total unweighted spectrum flux is -891.5731 Nov 3 12:16: Variance spectrum bias factor ignored Nov 3 12:16: EXTRACT: WARNING - Aperture 114: Nov 3 12:16: Total variance weighted spectrum flux is 2397.501 Nov 3 12:16: Total unweighted spectrum flux is 538.0181 Nov 3 12:16: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2244078 Nov 3 12:16: EXTRACT: WARNING - Aperture 115: Nov 3 12:16: Total variance weighted spectrum flux is 1364.717 Nov 3 12:16: Total unweighted spectrum flux is -850.7921 Nov 3 12:16: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141028.0037 Magnify image 141028.0037 to image 141028.0037. 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 141028.0037,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0037 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0037 -> noscat141028.0037 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:17: EXTRACT: WARNING - Aperture 1: Nov 3 12:17: Total variance weighted spectrum flux is 3192.886 Nov 3 12:17: Total unweighted spectrum flux is 969.3077 Nov 3 12:17: EXTRACT: Aperture 1 variance spectrum bias factor is 0.3035835 Nov 3 12:17: EXTRACT: WARNING - Aperture 88: Nov 3 12:17: Total variance weighted spectrum flux is 8222.335 Nov 3 12:17: Total unweighted spectrum flux is 2786.328 Nov 3 12:17: EXTRACT: Aperture 88 variance spectrum bias factor is 0.338873 Nov 3 12:17: EXTRACT: WARNING - Aperture 89: Nov 3 12:17: Total variance weighted spectrum flux is 6260.198 Nov 3 12:17: Total unweighted spectrum flux is 2087.322 Nov 3 12:17: EXTRACT: Aperture 89 variance spectrum bias factor is 0.3334274 Nov 3 12:17: EXTRACT: WARNING - Aperture 90: Nov 3 12:17: Total variance weighted spectrum flux is 5493.345 Nov 3 12:17: Total unweighted spectrum flux is 908.9945 Nov 3 12:17: EXTRACT: Aperture 90 variance spectrum bias factor is 0.165472 Nov 3 12:17: EXTRACT: WARNING - Aperture 91: Nov 3 12:17: Total variance weighted spectrum flux is 4401.901 Nov 3 12:17: Total unweighted spectrum flux is -258.6352 Nov 3 12:17: Variance spectrum bias factor ignored Nov 3 12:17: EXTRACT: WARNING - Aperture 92: Nov 3 12:17: Total variance weighted spectrum flux is 9429.128 Nov 3 12:17: Total unweighted spectrum flux is 1117.396 Nov 3 12:17: EXTRACT: Aperture 92 variance spectrum bias factor is 0.1185048 Nov 3 12:17: EXTRACT: WARNING - Aperture 93: Nov 3 12:17: Total variance weighted spectrum flux is 5386.281 Nov 3 12:17: Total unweighted spectrum flux is 1116.382 Nov 3 12:17: EXTRACT: Aperture 93 variance spectrum bias factor is 0.2072639 Nov 3 12:17: EXTRACT: WARNING - Aperture 94: Nov 3 12:17: Total variance weighted spectrum flux is 8202.608 Nov 3 12:17: Total unweighted spectrum flux is 508.0123 Nov 3 12:17: EXTRACT: Aperture 94 variance spectrum bias factor is 0.06193302 Nov 3 12:17: EXTRACT: WARNING - Aperture 95: Nov 3 12:17: Total variance weighted spectrum flux is 4933.405 Nov 3 12:17: Total unweighted spectrum flux is -119.8921 Nov 3 12:17: Variance spectrum bias factor ignored Nov 3 12:17: EXTRACT: WARNING - Aperture 96: Nov 3 12:17: Total variance weighted spectrum flux is 4588.328 Nov 3 12:17: Total unweighted spectrum flux is -537.3705 Nov 3 12:17: Variance spectrum bias factor ignored Nov 3 12:17: EXTRACT: WARNING - Aperture 97: Nov 3 12:17: Total variance weighted spectrum flux is 3669.947 Nov 3 12:17: Total unweighted spectrum flux is 686.9607 Nov 3 12:17: EXTRACT: Aperture 97 variance spectrum bias factor is 0.1871855 Nov 3 12:17: EXTRACT: WARNING - Aperture 98: Nov 3 12:17: Total variance weighted spectrum flux is 4817.051 Nov 3 12:17: Total unweighted spectrum flux is 238.9979 Nov 3 12:17: EXTRACT: Aperture 98 variance spectrum bias factor is 0.04961497 Nov 3 12:17: EXTRACT: WARNING - Aperture 99: Nov 3 12:17: Total variance weighted spectrum flux is 7186.156 Nov 3 12:17: Total unweighted spectrum flux is 1768.353 Nov 3 12:17: EXTRACT: Aperture 99 variance spectrum bias factor is 0.2460778 Nov 3 12:17: EXTRACT: WARNING - Aperture 100: Nov 3 12:17: Total variance weighted spectrum flux is 3496.469 Nov 3 12:17: Total unweighted spectrum flux is 133.4919 Nov 3 12:17: EXTRACT: Aperture 100 variance spectrum bias factor is 0.03817906 Nov 3 12:17: EXTRACT: WARNING - Aperture 101: Nov 3 12:17: Total variance weighted spectrum flux is 6843.734 Nov 3 12:17: Total unweighted spectrum flux is 76.50481 Nov 3 12:17: EXTRACT: Aperture 101 variance spectrum bias factor is 0.01117881 Nov 3 12:17: EXTRACT: WARNING - Aperture 102: Nov 3 12:17: Total variance weighted spectrum flux is 5360.895 Nov 3 12:17: Total unweighted spectrum flux is 134.377 Nov 3 12:17: EXTRACT: Aperture 102 variance spectrum bias factor is 0.02506615 Nov 3 12:17: EXTRACT: WARNING - Aperture 103: Nov 3 12:17: Total variance weighted spectrum flux is 4826.096 Nov 3 12:17: Total unweighted spectrum flux is 73.57344 Nov 3 12:17: EXTRACT: Aperture 103 variance spectrum bias factor is 0.01524492 Nov 3 12:17: EXTRACT: WARNING - Aperture 104: Nov 3 12:17: Total variance weighted spectrum flux is 5451.151 Nov 3 12:17: Total unweighted spectrum flux is 622.623 Nov 3 12:17: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1142186 Nov 3 12:17: EXTRACT: WARNING - Aperture 105: Nov 3 12:17: Total variance weighted spectrum flux is 3478.995 Nov 3 12:17: Total unweighted spectrum flux is -307.1214 Nov 3 12:17: Variance spectrum bias factor ignored Nov 3 12:17: EXTRACT: WARNING - Aperture 106: Nov 3 12:17: Total variance weighted spectrum flux is 10265.26 Nov 3 12:17: Total unweighted spectrum flux is -896.9289 Nov 3 12:17: Variance spectrum bias factor ignored Nov 3 12:17: EXTRACT: WARNING - Aperture 107: Nov 3 12:17: Total variance weighted spectrum flux is 3593.695 Nov 3 12:17: Total unweighted spectrum flux is 649.375 Nov 3 12:17: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1806984 Nov 3 12:17: EXTRACT: WARNING - Aperture 108: Nov 3 12:17: Total variance weighted spectrum flux is 5481.429 Nov 3 12:17: Total unweighted spectrum flux is 1348.27 Nov 3 12:17: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2459704 Nov 3 12:17: EXTRACT: WARNING - Aperture 109: Nov 3 12:17: Total variance weighted spectrum flux is 8704.781 Nov 3 12:17: Total unweighted spectrum flux is 781.2908 Nov 3 12:17: EXTRACT: Aperture 109 variance spectrum bias factor is 0.08975422 Nov 3 12:17: EXTRACT: WARNING - Aperture 110: Nov 3 12:17: Total variance weighted spectrum flux is 3360.019 Nov 3 12:17: Total unweighted spectrum flux is 195.1626 Nov 3 12:17: EXTRACT: Aperture 110 variance spectrum bias factor is 0.0580838 Nov 3 12:17: EXTRACT: WARNING - Aperture 111: Nov 3 12:17: Total variance weighted spectrum flux is 10746.99 Nov 3 12:17: Total unweighted spectrum flux is 1444.78 Nov 3 12:17: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1344358 Nov 3 12:17: EXTRACT: WARNING - Aperture 112: Nov 3 12:17: Total variance weighted spectrum flux is 5628.214 Nov 3 12:17: Total unweighted spectrum flux is 697.2953 Nov 3 12:17: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1238928 Nov 3 12:17: EXTRACT: WARNING - Aperture 113: Nov 3 12:17: Total variance weighted spectrum flux is 1722.996 Nov 3 12:17: Total unweighted spectrum flux is -537.7671 Nov 3 12:17: Variance spectrum bias factor ignored Nov 3 12:17: EXTRACT: WARNING - Aperture 114: Nov 3 12:17: Total variance weighted spectrum flux is 5393.7 Nov 3 12:17: Total unweighted spectrum flux is 968.285 Nov 3 12:17: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1795215 Nov 3 12:17: EXTRACT: WARNING - Aperture 115: Nov 3 12:17: Total variance weighted spectrum flux is 1165.976 Nov 3 12:17: Total unweighted spectrum flux is -58.81079 Nov 3 12:17: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 141028.0038 Magnify image 141028.0038 to image 141028.0038. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 141028.0038,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0038 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0038 -> noscat141028.0038 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:18: EXTRACT: WARNING - Aperture 91: Nov 3 12:18: Total variance weighted spectrum flux is 7108.037 Nov 3 12:18: Total unweighted spectrum flux is 1569.375 Nov 3 12:18: EXTRACT: Aperture 91 variance spectrum bias factor is 0.2207888 Nov 3 12:18: EXTRACT: WARNING - Aperture 93: Nov 3 12:18: Total variance weighted spectrum flux is 7701.073 Nov 3 12:18: Total unweighted spectrum flux is 3581.945 Nov 3 12:18: EXTRACT: Aperture 93 variance spectrum bias factor is 0.4651228 Nov 3 12:19: EXTRACT: WARNING - Aperture 94: Nov 3 12:19: Total variance weighted spectrum flux is 5813.44 Nov 3 12:19: Total unweighted spectrum flux is 1903.171 Nov 3 12:19: EXTRACT: Aperture 94 variance spectrum bias factor is 0.3273743 Nov 3 12:19: EXTRACT: WARNING - Aperture 95: Nov 3 12:19: Total variance weighted spectrum flux is 7891.273 Nov 3 12:19: Total unweighted spectrum flux is 3003.686 Nov 3 12:19: EXTRACT: Aperture 95 variance spectrum bias factor is 0.3806338 Nov 3 12:19: EXTRACT: WARNING - Aperture 96: Nov 3 12:19: Total variance weighted spectrum flux is 5209.672 Nov 3 12:19: Total unweighted spectrum flux is -1639.257 Nov 3 12:19: Variance spectrum bias factor ignored Nov 3 12:19: EXTRACT: WARNING - Aperture 97: Nov 3 12:19: Total variance weighted spectrum flux is 5919.301 Nov 3 12:19: Total unweighted spectrum flux is 1478.315 Nov 3 12:19: EXTRACT: Aperture 97 variance spectrum bias factor is 0.2497449 Nov 3 12:19: EXTRACT: WARNING - Aperture 98: Nov 3 12:19: Total variance weighted spectrum flux is 3722.989 Nov 3 12:19: Total unweighted spectrum flux is 711.6118 Nov 3 12:19: EXTRACT: Aperture 98 variance spectrum bias factor is 0.1911399 Nov 3 12:19: EXTRACT: WARNING - Aperture 99: Nov 3 12:19: Total variance weighted spectrum flux is 5830.399 Nov 3 12:19: Total unweighted spectrum flux is 1387.295 Nov 3 12:19: EXTRACT: Aperture 99 variance spectrum bias factor is 0.2379417 Nov 3 12:19: EXTRACT: WARNING - Aperture 100: Nov 3 12:19: Total variance weighted spectrum flux is 5375.35 Nov 3 12:19: Total unweighted spectrum flux is 775.8124 Nov 3 12:19: EXTRACT: Aperture 100 variance spectrum bias factor is 0.1443278 Nov 3 12:19: EXTRACT: WARNING - Aperture 101: Nov 3 12:19: Total variance weighted spectrum flux is 7114.477 Nov 3 12:19: Total unweighted spectrum flux is 529.0939 Nov 3 12:19: EXTRACT: Aperture 101 variance spectrum bias factor is 0.07436863 Nov 3 12:19: EXTRACT: WARNING - Aperture 102: Nov 3 12:19: Total variance weighted spectrum flux is 3686.698 Nov 3 12:19: Total unweighted spectrum flux is 612.1094 Nov 3 12:19: EXTRACT: Aperture 102 variance spectrum bias factor is 0.1660319 Nov 3 12:19: EXTRACT: WARNING - Aperture 103: Nov 3 12:19: Total variance weighted spectrum flux is 5094.592 Nov 3 12:19: Total unweighted spectrum flux is 493.3059 Nov 3 12:19: EXTRACT: Aperture 103 variance spectrum bias factor is 0.09682932 Nov 3 12:19: EXTRACT: WARNING - Aperture 104: Nov 3 12:19: Total variance weighted spectrum flux is 6100.745 Nov 3 12:19: Total unweighted spectrum flux is 1011.824 Nov 3 12:19: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1658525 Nov 3 12:19: EXTRACT: WARNING - Aperture 105: Nov 3 12:19: Total variance weighted spectrum flux is 4779.369 Nov 3 12:19: Total unweighted spectrum flux is -170.4716 Nov 3 12:19: Variance spectrum bias factor ignored Nov 3 12:19: EXTRACT: WARNING - Aperture 106: Nov 3 12:19: Total variance weighted spectrum flux is 10588.8 Nov 3 12:19: Total unweighted spectrum flux is 437.6456 Nov 3 12:19: EXTRACT: Aperture 106 variance spectrum bias factor is 0.041331 Nov 3 12:19: EXTRACT: WARNING - Aperture 107: Nov 3 12:19: Total variance weighted spectrum flux is 3016.328 Nov 3 12:19: Total unweighted spectrum flux is 177.3197 Nov 3 12:19: EXTRACT: Aperture 107 variance spectrum bias factor is 0.05878663 Nov 3 12:19: EXTRACT: WARNING - Aperture 108: Nov 3 12:19: Total variance weighted spectrum flux is 8400.36 Nov 3 12:19: Total unweighted spectrum flux is 541.069 Nov 3 12:19: EXTRACT: Aperture 108 variance spectrum bias factor is 0.06441022 Nov 3 12:19: EXTRACT: WARNING - Aperture 109: Nov 3 12:19: Total variance weighted spectrum flux is 7120.945 Nov 3 12:19: Total unweighted spectrum flux is -503.1302 Nov 3 12:19: Variance spectrum bias factor ignored Nov 3 12:19: EXTRACT: WARNING - Aperture 110: Nov 3 12:19: Total variance weighted spectrum flux is 5186.591 Nov 3 12:19: Total unweighted spectrum flux is -75.81377 Nov 3 12:19: Variance spectrum bias factor ignored Nov 3 12:19: EXTRACT: WARNING - Aperture 111: Nov 3 12:19: Total variance weighted spectrum flux is 5588.848 Nov 3 12:19: Total unweighted spectrum flux is 529.525 Nov 3 12:19: EXTRACT: Aperture 111 variance spectrum bias factor is 0.09474672 Nov 3 12:19: EXTRACT: WARNING - Aperture 112: Nov 3 12:19: Total variance weighted spectrum flux is 2875.177 Nov 3 12:19: Total unweighted spectrum flux is 365.2106 Nov 3 12:19: EXTRACT: Aperture 112 variance spectrum bias factor is 0.127022 Nov 3 12:19: EXTRACT: WARNING - Aperture 113: Nov 3 12:19: Total variance weighted spectrum flux is 4258.865 Nov 3 12:19: Total unweighted spectrum flux is 1013.889 Nov 3 12:19: EXTRACT: Aperture 113 variance spectrum bias factor is 0.2380656 Nov 3 12:19: EXTRACT: WARNING - Aperture 114: Nov 3 12:19: Total variance weighted spectrum flux is 4418.951 Nov 3 12:19: Total unweighted spectrum flux is -398.3199 Nov 3 12:19: Variance spectrum bias factor ignored Nov 3 12:19: EXTRACT: WARNING - Aperture 115: Nov 3 12:19: Total variance weighted spectrum flux is 3545.368 Nov 3 12:19: Total unweighted spectrum flux is 591.8541 Nov 3 12:19: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1669373 Resampling the object by a factor of 4 in the y direction... 141028.0039 Magnify image 141028.0039 to image 141028.0039. 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 141028.0039,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 141028.0039 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 141028.0039 -> noscat141028.0039 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Nov 3 12:20: EXTRACT: WARNING - Aperture 91: Nov 3 12:20: Total variance weighted spectrum flux is 7546.03 Nov 3 12:20: Total unweighted spectrum flux is 3751.83 Nov 3 12:20: EXTRACT: Aperture 91 variance spectrum bias factor is 0.4971926 Nov 3 12:20: EXTRACT: WARNING - Aperture 92: Nov 3 12:20: Total variance weighted spectrum flux is 8174.202 Nov 3 12:20: Total unweighted spectrum flux is 2753.372 Nov 3 12:20: EXTRACT: Aperture 92 variance spectrum bias factor is 0.3368368 Nov 3 12:20: EXTRACT: WARNING - Aperture 93: Nov 3 12:20: Total variance weighted spectrum flux is 7502.157 Nov 3 12:20: Total unweighted spectrum flux is 3726.779 Nov 3 12:20: EXTRACT: Aperture 93 variance spectrum bias factor is 0.496761 Nov 3 12:20: EXTRACT: WARNING - Aperture 94: Nov 3 12:20: Total variance weighted spectrum flux is 4088.563 Nov 3 12:20: Total unweighted spectrum flux is 1415.005 Nov 3 12:20: EXTRACT: Aperture 94 variance spectrum bias factor is 0.3460886 Nov 3 12:20: EXTRACT: WARNING - Aperture 95: Nov 3 12:20: Total variance weighted spectrum flux is 5192.202 Nov 3 12:20: Total unweighted spectrum flux is 931.7849 Nov 3 12:20: EXTRACT: Aperture 95 variance spectrum bias factor is 0.1794585 Nov 3 12:20: EXTRACT: WARNING - Aperture 96: Nov 3 12:20: Total variance weighted spectrum flux is 5993.874 Nov 3 12:20: Total unweighted spectrum flux is 1862.51 Nov 3 12:20: EXTRACT: Aperture 96 variance spectrum bias factor is 0.3107356 Nov 3 12:20: EXTRACT: WARNING - Aperture 97: Nov 3 12:20: Total variance weighted spectrum flux is 2812.38 Nov 3 12:20: Total unweighted spectrum flux is -418.7529 Nov 3 12:20: Variance spectrum bias factor ignored Nov 3 12:20: EXTRACT: WARNING - Aperture 98: Nov 3 12:20: Total variance weighted spectrum flux is 3843.235 Nov 3 12:20: Total unweighted spectrum flux is 948.9012 Nov 3 12:20: EXTRACT: Aperture 98 variance spectrum bias factor is 0.2469017 Nov 3 12:20: EXTRACT: WARNING - Aperture 99: Nov 3 12:20: Total variance weighted spectrum flux is 6913.552 Nov 3 12:20: Total unweighted spectrum flux is 146.5372 Nov 3 12:20: EXTRACT: Aperture 99 variance spectrum bias factor is 0.02119565 Nov 3 12:20: EXTRACT: WARNING - Aperture 100: Nov 3 12:20: Total variance weighted spectrum flux is 3235.639 Nov 3 12:20: Total unweighted spectrum flux is -331.9851 Nov 3 12:20: Variance spectrum bias factor ignored Nov 3 12:20: EXTRACT: WARNING - Aperture 101: Nov 3 12:20: Total variance weighted spectrum flux is 5626.795 Nov 3 12:20: Total unweighted spectrum flux is 895.2989 Nov 3 12:20: EXTRACT: Aperture 101 variance spectrum bias factor is 0.1591135 Nov 3 12:20: EXTRACT: WARNING - Aperture 102: Nov 3 12:20: Total variance weighted spectrum flux is 5183.314 Nov 3 12:20: Total unweighted spectrum flux is -185.4477 Nov 3 12:20: Variance spectrum bias factor ignored Nov 3 12:20: EXTRACT: WARNING - Aperture 103: Nov 3 12:20: Total variance weighted spectrum flux is 7795.929 Nov 3 12:20: Total unweighted spectrum flux is -840.2493 Nov 3 12:20: Variance spectrum bias factor ignored Nov 3 12:20: EXTRACT: WARNING - Aperture 104: Nov 3 12:20: Total variance weighted spectrum flux is 7118.593 Nov 3 12:20: Total unweighted spectrum flux is 1164.768 Nov 3 12:20: EXTRACT: Aperture 104 variance spectrum bias factor is 0.1636233 Nov 3 12:20: EXTRACT: WARNING - Aperture 105: Nov 3 12:20: Total variance weighted spectrum flux is 8628.958 Nov 3 12:20: Total unweighted spectrum flux is 1327.213 Nov 3 12:20: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1538092 Nov 3 12:20: EXTRACT: WARNING - Aperture 106: Nov 3 12:20: Total variance weighted spectrum flux is 7542.523 Nov 3 12:20: Total unweighted spectrum flux is 1240.003 Nov 3 12:20: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1644017 Nov 3 12:20: EXTRACT: WARNING - Aperture 107: Nov 3 12:20: Total variance weighted spectrum flux is 6241.177 Nov 3 12:20: Total unweighted spectrum flux is 1935.604 Nov 3 12:20: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3101345 Nov 3 12:20: EXTRACT: WARNING - Aperture 108: Nov 3 12:20: Total variance weighted spectrum flux is 9199.529 Nov 3 12:20: Total unweighted spectrum flux is 990.1422 Nov 3 12:20: EXTRACT: Aperture 108 variance spectrum bias factor is 0.1076297 Nov 3 12:20: EXTRACT: WARNING - Aperture 109: Nov 3 12:20: Total variance weighted spectrum flux is 10104.43 Nov 3 12:20: Total unweighted spectrum flux is -270.5756 Nov 3 12:20: Variance spectrum bias factor ignored Nov 3 12:20: EXTRACT: WARNING - Aperture 110: Nov 3 12:20: Total variance weighted spectrum flux is 5638.262 Nov 3 12:20: Total unweighted spectrum flux is 460.2209 Nov 3 12:20: EXTRACT: Aperture 110 variance spectrum bias factor is 0.08162461 Nov 3 12:20: EXTRACT: WARNING - Aperture 111: Nov 3 12:20: Total variance weighted spectrum flux is 5343.601 Nov 3 12:20: Total unweighted spectrum flux is -18.51766 Nov 3 12:20: Variance spectrum bias factor ignored Nov 3 12:20: EXTRACT: WARNING - Aperture 112: Nov 3 12:20: Total variance weighted spectrum flux is 4901.11 Nov 3 12:20: Total unweighted spectrum flux is -1736.297 Nov 3 12:20: Variance spectrum bias factor ignored Nov 3 12:20: EXTRACT: WARNING - Aperture 113: Nov 3 12:20: Total variance weighted spectrum flux is 2244.468 Nov 3 12:20: Total unweighted spectrum flux is 176.4204 Nov 3 12:20: EXTRACT: Aperture 113 variance spectrum bias factor is 0.07860231 Nov 3 12:20: EXTRACT: WARNING - Aperture 114: Nov 3 12:20: Total variance weighted spectrum flux is 4135.657 Nov 3 12:20: Total unweighted spectrum flux is 113.3757 Nov 3 12:20: EXTRACT: Aperture 114 variance spectrum bias factor is 0.02741418 Nov 3 12:20: EXTRACT: WARNING - Aperture 115: Nov 3 12:20: Total variance weighted spectrum flux is 2845.26 Nov 3 12:20: Total unweighted spectrum flux is 86.51866 Nov 3 12:20: EXTRACT: Aperture 115 variance spectrum bias factor is 0.03040799 add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,REFSPEC1 = EchelleThAr.0018.ec.fits EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,REFSPEC1 = EchelleThAr.0019.ec.fits EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,REFSPEC1 = EchelleThAr.0020.ec.fits EchelleThAr.0020.ec.fits updated add EchelleThAr.0024.ec.fits,REFSPEC1 = EchelleThAr.0024.ec.fits EchelleThAr.0024.ec.fits updated add EchelleThAr.0029.ec.fits,REFSPEC1 = EchelleThAr.0029.ec.fits EchelleThAr.0029.ec.fits updated add EchelleThAr.0032.ec.fits,REFSPEC1 = EchelleThAr.0032.ec.fits EchelleThAr.0032.ec.fits updated add EchelleThAr.0036.ec.fits,REFSPEC1 = EchelleThAr.0036.ec.fits EchelleThAr.0036.ec.fits updated add EchelleThAr.0040.ec.fits,REFSPEC1 = EchelleThAr.0040.ec.fits EchelleThAr.0040.ec.fits updated Flatfielding extracted arcs and object spectra... add EchelleThAr.0017.ec.fits,UTMIDDLE = 0 EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 0 -> 00:19:20.676082 EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,UTMIDDLE = 0 EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 0 -> 00:22:12.335792 EchelleThAr.0018.ec.fits updated add EchelleThAr.0019.ec.fits,UTMIDDLE = 0 EchelleThAr.0019.ec.fits updated EchelleThAr.0019.ec.fits,UTMIDDLE: 0 -> 00:25:15.681771 EchelleThAr.0019.ec.fits updated add EchelleThAr.0020.ec.fits,UTMIDDLE = 0 EchelleThAr.0020.ec.fits updated EchelleThAr.0020.ec.fits,UTMIDDLE: 0 -> 00:28:18.204787 EchelleThAr.0020.ec.fits updated add EchelleThAr.0024.ec.fits,UTMIDDLE = 0 EchelleThAr.0024.ec.fits updated EchelleThAr.0024.ec.fits,UTMIDDLE: 0 -> 01:58:01.134799 EchelleThAr.0024.ec.fits updated add EchelleThAr.0029.ec.fits,UTMIDDLE = 0 EchelleThAr.0029.ec.fits updated EchelleThAr.0029.ec.fits,UTMIDDLE: 0 -> 03:31:31.202802 EchelleThAr.0029.ec.fits updated add EchelleThAr.0032.ec.fits,UTMIDDLE = 0 EchelleThAr.0032.ec.fits updated EchelleThAr.0032.ec.fits,UTMIDDLE: 0 -> 04:29:38.686748 EchelleThAr.0032.ec.fits updated add EchelleThAr.0036.ec.fits,UTMIDDLE = 0 EchelleThAr.0036.ec.fits updated EchelleThAr.0036.ec.fits,UTMIDDLE: 0 -> 05:44:46.880791 EchelleThAr.0036.ec.fits updated add EchelleThAr.0040.ec.fits,UTMIDDLE = 0 EchelleThAr.0040.ec.fits updated EchelleThAr.0040.ec.fits,UTMIDDLE: 0 -> 06:58:15.187236 EchelleThAr.0040.ec.fits updated add 141028.0021.ec.fits,UTMIDDLE = 0 141028.0021.ec.fits updated 141028.0021.ec.fits,UTMIDDLE: 0 -> 01:00:04.044018 141028.0021.ec.fits updated add 141028.0022.ec.fits,UTMIDDLE = 0 141028.0022.ec.fits updated 141028.0022.ec.fits,UTMIDDLE: 0 -> 01:22:17.112759 141028.0022.ec.fits updated add 141028.0023.ec.fits,UTMIDDLE = 0 141028.0023.ec.fits updated 141028.0023.ec.fits,UTMIDDLE: 0 -> 01:45:16.150952 141028.0023.ec.fits updated add 141028.0025.ec.fits,UTMIDDLE = 0 141028.0025.ec.fits updated 141028.0025.ec.fits,UTMIDDLE: 0 -> 02:14:26.027947 141028.0025.ec.fits updated add 141028.0026.ec.fits,UTMIDDLE = 0 141028.0026.ec.fits updated 141028.0026.ec.fits,UTMIDDLE: 0 -> 02:34:29.589137 141028.0026.ec.fits updated add 141028.0027.ec.fits,UTMIDDLE = 0 141028.0027.ec.fits updated 141028.0027.ec.fits,UTMIDDLE: 0 -> 02:53:17.086805 141028.0027.ec.fits updated add 141028.0028.ec.fits,UTMIDDLE = 0 141028.0028.ec.fits updated 141028.0028.ec.fits,UTMIDDLE: 0 -> 03:15:58.009783 141028.0028.ec.fits updated add 141028.0030.ec.fits,UTMIDDLE = 0 141028.0030.ec.fits updated 141028.0030.ec.fits,UTMIDDLE: 0 -> 03:46:30.688131 141028.0030.ec.fits updated add 141028.0031.ec.fits,UTMIDDLE = 0 141028.0031.ec.fits updated 141028.0031.ec.fits,UTMIDDLE: 0 -> 04:11:34.436771 141028.0031.ec.fits updated add 141028.0033.ec.fits,UTMIDDLE = 0 141028.0033.ec.fits updated 141028.0033.ec.fits,UTMIDDLE: 0 -> 04:43:48.978073 141028.0033.ec.fits updated add 141028.0034.ec.fits,UTMIDDLE = 0 141028.0034.ec.fits updated 141028.0034.ec.fits,UTMIDDLE: 0 -> 05:10:16.002740 141028.0034.ec.fits updated add 141028.0035.ec.fits,UTMIDDLE = 0 141028.0035.ec.fits updated 141028.0035.ec.fits,UTMIDDLE: 0 -> 05:33:42.435887 141028.0035.ec.fits updated add 141028.0037.ec.fits,UTMIDDLE = 0 141028.0037.ec.fits updated 141028.0037.ec.fits,UTMIDDLE: 0 -> 06:03:27.455778 141028.0037.ec.fits updated add 141028.0038.ec.fits,UTMIDDLE = 0 141028.0038.ec.fits updated 141028.0038.ec.fits,UTMIDDLE: 0 -> 06:26:51.228934 141028.0038.ec.fits updated add 141028.0039.ec.fits,UTMIDDLE = 0 141028.0039.ec.fits updated 141028.0039.ec.fits,UTMIDDLE: 0 -> 06:45:06.457892 141028.0039.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 141028.0021.ec.fits 2456958.54171 2456958.54166 2456958 141028.0022.ec.fits 2456958.55714 2456958.55682 2456958 141028.0023.ec.fits 2456958.57310 2456958.57375 2456958 141028.0025.ec.fits 2456958.59336 2456958.59407 2456958 141028.0026.ec.fits 2456958.60729 2456958.60750 2456958 141028.0027.ec.fits 2456958.62034 2456958.62051 2456958 141028.0028.ec.fits 2456958.63609 2456958.63652 2456958 141028.0030.ec.fits 2456958.65730 2456958.65721 2456958 141028.0031.ec.fits 2456958.67470 2456958.67468 2456958 141028.0033.ec.fits 2456958.69709 2456958.69729 2456958 141028.0034.ec.fits 2456958.71546 2456958.71596 2456958 141028.0035.ec.fits 2456958.73174 2456958.73227 2456958 141028.0037.ec.fits 2456958.75240 2456958.75244 2456958 141028.0038.ec.fits 2456958.76865 2456958.76933 2456958 141028.0039.ec.fits 2456958.78132 2456958.78203 2456958 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Mon 12:20:29 03-Nov-2014 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1047/2055 1047/1047 -0.366 2.7 4.76E-6 0.0135 EchelleThAr.0018.ec 1908/2055 1908/1908 -0.312 2.3 4.05E-6 0.0104 EchelleThAr.0019.ec 1889/2055 1889/1889 -0.251 1.85 3.26E-6 0.0102 EchelleThAr.0020.ec 1896/2055 1896/1896 -0.18 1.33 2.36E-6 0.00997 EchelleThAr.0024.ec 1925/2055 1925/1925 -0.366 2.7 4.76E-6 0.00946 EchelleThAr.0029.ec 1963/2055 1963/1963 -0.748 5.51 9.72E-6 0.00967 EchelleThAr.0032.ec 1968/2055 1968/1968 -0.82 6.03 1.06E-5 0.00915 EchelleThAr.0036.ec 1969/2055 1969/1969 -0.613 4.51 7.96E-6 0.00985 EchelleThAr.0040.ec 1952/2055 1952/1952 -0.983 7.23 1.28E-5 0.00907 [141028.0021.ec] refspec1='EchelleThAr.0020.ec 0.64594764' [141028.0021.ec] refspec2='EchelleThAr.0024.ec 0.35405239' [141028.0022.ec] refspec1='EchelleThAr.0020.ec 0.3983002' [141028.0022.ec] refspec2='EchelleThAr.0024.ec 0.60169983' [141028.0023.ec] refspec1='EchelleThAr.0020.ec 0.14211291' [141028.0023.ec] refspec2='EchelleThAr.0024.ec 0.85788709' [141028.0025.ec] refspec1='EchelleThAr.0024.ec 0.82444185' [141028.0025.ec] refspec2='EchelleThAr.0029.ec 0.17555815' [141028.0026.ec] refspec1='EchelleThAr.0024.ec 0.6099059' [141028.0026.ec] refspec2='EchelleThAr.0029.ec 0.39009407' [141028.0027.ec] refspec1='EchelleThAr.0024.ec 0.40892836' [141028.0027.ec] refspec2='EchelleThAr.0029.ec 0.59107161' [141028.0028.ec] refspec1='EchelleThAr.0024.ec 0.16634256' [141028.0028.ec] refspec2='EchelleThAr.0029.ec 0.83365744' [141028.0030.ec] refspec1='EchelleThAr.0029.ec 0.74208188' [141028.0030.ec] refspec2='EchelleThAr.0032.ec 0.25791812' [141028.0031.ec] refspec1='EchelleThAr.0029.ec 0.31089747' [141028.0031.ec] refspec2='EchelleThAr.0032.ec 0.68910253' [141028.0033.ec] refspec1='EchelleThAr.0032.ec 0.8113898' [141028.0033.ec] refspec2='EchelleThAr.0036.ec 0.18861018' [141028.0034.ec] refspec1='EchelleThAr.0032.ec 0.45935866' [141028.0034.ec] refspec2='EchelleThAr.0036.ec 0.54064131' [141028.0035.ec] refspec1='EchelleThAr.0032.ec 0.14738604' [141028.0035.ec] refspec2='EchelleThAr.0036.ec 0.85261393' [141028.0037.ec] refspec1='EchelleThAr.0036.ec 0.74580377' [141028.0037.ec] refspec2='EchelleThAr.0040.ec 0.25419626' [141028.0038.ec] refspec1='EchelleThAr.0036.ec 0.42736554' [141028.0038.ec] refspec2='EchelleThAr.0040.ec 0.57263446' [141028.0039.ec] refspec1='EchelleThAr.0036.ec 0.1789189' [141028.0039.ec] refspec2='EchelleThAr.0040.ec 0.8210811' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0019.ec] refspec1='EchelleThAr.0019.ec' [EchelleThAr.0020.ec] refspec1='EchelleThAr.0020.ec' [EchelleThAr.0024.ec] refspec1='EchelleThAr.0024.ec' [EchelleThAr.0029.ec] refspec1='EchelleThAr.0029.ec' [EchelleThAr.0032.ec] refspec1='EchelleThAr.0032.ec' [EchelleThAr.0036.ec] refspec1='EchelleThAr.0036.ec' [EchelleThAr.0040.ec] refspec1='EchelleThAr.0040.ec' 141028.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.64594764' 141028.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.35405239' 141028.0021.ec.fits: ap = 1, w1 = 10811.72, w2 = 10583.56, dw = -0.13827, nw = 1651 141028.0021.ec.fits: ap = 2, w1 = 10611.52, w2 = 10387.59, dw = -0.13571, nw = 1651 141028.0021.ec.fits: ap = 3, w1 = 10418.6, w2 = 10198.74, dw = -0.13325, nw = 1651 141028.0021.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.63, dw = -0.13087, nw = 1651 141028.0021.ec.fits: ap = 5, w1 = 10053.06, w2 = 9840.919, dw = -0.12857, nw = 1651 141028.0021.ec.fits: ap = 6, w1 = 9879.749, w2 = 9671.263, dw = -0.12635, nw = 1651 141028.0021.ec.fits: ap = 7, w1 = 9712.309, w2 = 9507.358, dw = -0.12421, nw = 1651 141028.0021.ec.fits: ap = 8, w1 = 9550.451, w2 = 9348.916, dw = -0.12214, nw = 1651 141028.0021.ec.fits: ap = 9, w1 = 9393.899, w2 = 9195.669, dw = -0.12014, nw = 1651 141028.0021.ec.fits: ap = 10, w1 = 9242.398, w2 = 9047.366, dw = -0.1182, nw = 1651 141028.0021.ec.fits: ap = 11, w1 = 9095.706, w2 = 8903.771, dw = -0.11632, nw = 1651 141028.0021.ec.fits: ap = 12, w1 = 8953.598, w2 = 8764.663, dw = -0.11451, nw = 1651 141028.0021.ec.fits: ap = 13, w1 = 8815.862, w2 = 8629.835, dw = -0.11274, nw = 1651 141028.0021.ec.fits: ap = 14, w1 = 8682.3, w2 = 8499.093, dw = -0.11103, nw = 1651 141028.0021.ec.fits: ap = 15, w1 = 8552.724, w2 = 8372.254, dw = -0.10938, nw = 1651 141028.0021.ec.fits: ap = 16, w1 = 8426.96, w2 = 8249.145, dw = -0.10777, nw = 1651 141028.0021.ec.fits: ap = 17, w1 = 8304.841, w2 = 8129.605, dw = -0.1062, nw = 1651 141028.0021.ec.fits: ap = 18, w1 = 8186.211, w2 = 8013.48, dw = -0.10469, nw = 1651 141028.0021.ec.fits: ap = 19, w1 = 8070.922, w2 = 7900.626, dw = -0.10321, nw = 1651 141028.0021.ec.fits: ap = 20, w1 = 7958.836, w2 = 7790.907, dw = -0.10178, nw = 1651 141028.0021.ec.fits: ap = 21, w1 = 7849.821, w2 = 7684.194, dw = -0.10038, nw = 1651 141028.0021.ec.fits: ap = 22, w1 = 7743.752, w2 = 7580.365, dw = -0.09902, nw = 1651 141028.0021.ec.fits: ap = 23, w1 = 7640.512, w2 = 7479.305, dw = -0.0977, nw = 1651 141028.0021.ec.fits: ap = 24, w1 = 7539.988, w2 = 7380.905, dw = -0.09641, nw = 1651 141028.0021.ec.fits: ap = 25, w1 = 7442.075, w2 = 7285.06, dw = -0.09516, nw = 1651 141028.0021.ec.fits: ap = 26, w1 = 7346.673, w2 = 7191.673, dw = -0.09394, nw = 1651 141028.0021.ec.fits: ap = 27, w1 = 7253.686, w2 = 7100.65, dw = -0.09275, nw = 1651 141028.0021.ec.fits: ap = 28, w1 = 7163.024, w2 = 7011.903, dw = -0.09159, nw = 1651 141028.0021.ec.fits: ap = 29, w1 = 7074.6, w2 = 6925.347, dw = -0.09046, nw = 1651 141028.0021.ec.fits: ap = 30, w1 = 6988.333, w2 = 6840.903, dw = -0.08935, nw = 1651 141028.0021.ec.fits: ap = 31, w1 = 6904.145, w2 = 6758.493, dw = -0.08827, nw = 1651 141028.0021.ec.fits: ap = 32, w1 = 6821.962, w2 = 6678.045, dw = -0.08722, nw = 1651 141028.0021.ec.fits: ap = 33, w1 = 6741.712, w2 = 6599.491, dw = -0.08619, nw = 1651 141028.0021.ec.fits: ap = 34, w1 = 6663.328, w2 = 6522.763, dw = -0.08519, nw = 1651 141028.0021.ec.fits: ap = 35, w1 = 6586.746, w2 = 6447.799, dw = -0.08421, nw = 1651 141028.0021.ec.fits: ap = 36, w1 = 6511.905, w2 = 6374.539, dw = -0.08325, nw = 1651 141028.0021.ec.fits: ap = 37, w1 = 6438.746, w2 = 6302.925, dw = -0.08232, nw = 1651 141028.0021.ec.fits: ap = 38, w1 = 6367.212, w2 = 6232.903, dw = -0.0814, nw = 1651 141028.0021.ec.fits: ap = 39, w1 = 6297.251, w2 = 6164.42, dw = -0.0805, nw = 1651 141028.0021.ec.fits: ap = 40, w1 = 6228.811, w2 = 6097.425, dw = -0.07963, nw = 1651 141028.0021.ec.fits: ap = 41, w1 = 6161.842, w2 = 6031.871, dw = -0.07877, nw = 1651 141028.0021.ec.fits: ap = 42, w1 = 6096.299, w2 = 5967.713, dw = -0.07793, nw = 1651 141028.0021.ec.fits: ap = 43, w1 = 6032.135, w2 = 5904.905, dw = -0.07711, nw = 1651 141028.0021.ec.fits: ap = 44, w1 = 5969.308, w2 = 5843.405, dw = -0.07631, nw = 1651 141028.0021.ec.fits: ap = 45, w1 = 5907.777, w2 = 5783.174, dw = -0.07552, nw = 1651 141028.0021.ec.fits: ap = 46, w1 = 5847.501, w2 = 5724.172, dw = -0.07475, nw = 1651 141028.0021.ec.fits: ap = 47, w1 = 5788.444, w2 = 5666.362, dw = -0.07399, nw = 1651 141028.0021.ec.fits: ap = 48, w1 = 5730.567, w2 = 5609.708, dw = -0.07325, nw = 1651 141028.0021.ec.fits: ap = 49, w1 = 5673.837, w2 = 5554.176, dw = -0.07252, nw = 1651 141028.0021.ec.fits: ap = 50, w1 = 5618.219, w2 = 5499.733, dw = -0.07181, nw = 1651 141028.0021.ec.fits: ap = 51, w1 = 5563.681, w2 = 5446.347, dw = -0.07111, nw = 1651 141028.0021.ec.fits: ap = 52, w1 = 5510.191, w2 = 5393.988, dw = -0.07043, nw = 1651 141028.0021.ec.fits: ap = 53, w1 = 5457.721, w2 = 5342.626, dw = -0.06975, nw = 1651 141028.0021.ec.fits: ap = 54, w1 = 5406.241, w2 = 5292.233, dw = -0.0691, nw = 1651 141028.0021.ec.fits: ap = 55, w1 = 5355.723, w2 = 5242.783, dw = -0.06845, nw = 1651 141028.0021.ec.fits: ap = 56, w1 = 5306.141, w2 = 5194.248, dw = -0.06781, nw = 1651 141028.0021.ec.fits: ap = 57, w1 = 5257.468, w2 = 5146.604, dw = -0.06719, nw = 1651 141028.0021.ec.fits: ap = 58, w1 = 5209.681, w2 = 5099.827, dw = -0.06658, nw = 1651 141028.0021.ec.fits: ap = 59, w1 = 5162.755, w2 = 5053.892, dw = -0.06598, nw = 1651 141028.0021.ec.fits: ap = 60, w1 = 5116.666, w2 = 5008.777, dw = -0.06539, nw = 1651 141028.0021.ec.fits: ap = 61, w1 = 5071.394, w2 = 4964.462, dw = -0.06481, nw = 1651 141028.0021.ec.fits: ap = 62, w1 = 5026.916, w2 = 4920.923, dw = -0.06424, nw = 1651 141028.0021.ec.fits: ap = 63, w1 = 4983.211, w2 = 4878.142, dw = -0.06368, nw = 1651 141028.0021.ec.fits: ap = 64, w1 = 4940.26, w2 = 4836.099, dw = -0.06313, nw = 1651 141028.0021.ec.fits: ap = 65, w1 = 4898.044, w2 = 4794.774, dw = -0.06259, nw = 1651 141028.0021.ec.fits: ap = 66, w1 = 4856.543, w2 = 4754.15, dw = -0.06206, nw = 1651 141028.0021.ec.fits: ap = 67, w1 = 4815.739, w2 = 4714.209, dw = -0.06153, nw = 1651 141028.0021.ec.fits: ap = 68, w1 = 4775.616, w2 = 4674.934, dw = -0.06102, nw = 1651 141028.0021.ec.fits: ap = 69, w1 = 4736.156, w2 = 4636.307, dw = -0.06051, nw = 1651 141028.0021.ec.fits: ap = 70, w1 = 4697.342, w2 = 4598.314, dw = -0.06002, nw = 1651 141028.0021.ec.fits: ap = 71, w1 = 4659.16, w2 = 4560.939, dw = -0.05953, nw = 1651 141028.0021.ec.fits: ap = 72, w1 = 4621.594, w2 = 4524.167, dw = -0.05905, nw = 1651 141028.0021.ec.fits: ap = 73, w1 = 4584.629, w2 = 4487.983, dw = -0.05857, nw = 1651 141028.0021.ec.fits: ap = 74, w1 = 4548.251, w2 = 4452.374, dw = -0.05811, nw = 1651 141028.0021.ec.fits: ap = 75, w1 = 4512.446, w2 = 4417.326, dw = -0.05765, nw = 1651 141028.0021.ec.fits: ap = 76, w1 = 4477.2, w2 = 4382.825, dw = -0.0572, nw = 1651 141028.0021.ec.fits: ap = 77, w1 = 4442.5, w2 = 4348.859, dw = -0.05675, nw = 1651 141028.0021.ec.fits: ap = 78, w1 = 4408.335, w2 = 4315.416, dw = -0.05631, nw = 1651 141028.0021.ec.fits: ap = 79, w1 = 4374.691, w2 = 4282.484, dw = -0.05588, nw = 1651 141028.0021.ec.fits: ap = 80, w1 = 4341.557, w2 = 4250.05, dw = -0.05546, nw = 1651 141028.0021.ec.fits: ap = 81, w1 = 4308.921, w2 = 4218.105, dw = -0.05504, nw = 1651 141028.0021.ec.fits: ap = 82, w1 = 4276.773, w2 = 4186.636, dw = -0.05463, nw = 1651 141028.0021.ec.fits: ap = 83, w1 = 4245.101, w2 = 4155.634, dw = -0.05422, nw = 1651 141028.0021.ec.fits: ap = 84, w1 = 4213.894, w2 = 4125.088, dw = -0.05382, nw = 1651 141028.0021.ec.fits: ap = 85, w1 = 4183.143, w2 = 4094.987, dw = -0.05343, nw = 1651 141028.0021.ec.fits: ap = 86, w1 = 4152.838, w2 = 4065.323, dw = -0.05304, nw = 1651 141028.0021.ec.fits: ap = 87, w1 = 4122.969, w2 = 4036.086, dw = -0.05266, nw = 1651 141028.0021.ec.fits: ap = 88, w1 = 4093.526, w2 = 4007.267, dw = -0.05228, nw = 1651 141028.0021.ec.fits: ap = 89, w1 = 4064.501, w2 = 3978.856, dw = -0.05191, nw = 1651 141028.0021.ec.fits: ap = 90, w1 = 4035.885, w2 = 3950.845, dw = -0.05154, nw = 1651 141028.0021.ec.fits: ap = 91, w1 = 4007.669, w2 = 3923.227, dw = -0.05118, nw = 1651 141028.0021.ec.fits: ap = 92, w1 = 3979.845, w2 = 3895.992, dw = -0.05082, nw = 1651 141028.0021.ec.fits: ap = 93, w1 = 3952.405, w2 = 3869.133, dw = -0.05047, nw = 1651 141028.0021.ec.fits: ap = 94, w1 = 3925.341, w2 = 3842.642, dw = -0.05012, nw = 1651 141028.0021.ec.fits: ap = 95, w1 = 3898.644, w2 = 3816.511, dw = -0.04978, nw = 1651 141028.0021.ec.fits: ap = 96, w1 = 3872.309, w2 = 3790.734, dw = -0.04944, nw = 1651 141028.0021.ec.fits: ap = 97, w1 = 3846.327, w2 = 3765.302, dw = -0.04911, nw = 1651 141028.0021.ec.fits: ap = 98, w1 = 3820.692, w2 = 3740.21, dw = -0.04878, nw = 1651 141028.0021.ec.fits: ap = 99, w1 = 3795.396, w2 = 3715.451, dw = -0.04845, nw = 1651 141028.0021.ec.fits: ap = 100, w1 = 3770.432, w2 = 3691.017, dw = -0.04813, nw = 1651 141028.0021.ec.fits: ap = 101, w1 = 3745.795, w2 = 3666.902, dw = -0.04781, nw = 1651 141028.0021.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.101, dw = -0.0475, nw = 1651 141028.0021.ec.fits: ap = 103, w1 = 3697.475, w2 = 3619.607, dw = -0.04719, nw = 1651 141028.0021.ec.fits: ap = 104, w1 = 3673.779, w2 = 3596.415, dw = -0.04689, nw = 1651 141028.0021.ec.fits: ap = 105, w1 = 3650.386, w2 = 3573.517, dw = -0.04659, nw = 1651 141028.0021.ec.fits: ap = 106, w1 = 3627.288, w2 = 3550.91, dw = -0.04629, nw = 1651 141028.0021.ec.fits: ap = 107, w1 = 3604.481, w2 = 3528.587, dw = -0.046, nw = 1651 141028.0021.ec.fits: ap = 108, w1 = 3581.958, w2 = 3506.544, dw = -0.04571, nw = 1651 141028.0021.ec.fits: ap = 109, w1 = 3559.716, w2 = 3484.774, dw = -0.04542, nw = 1651 141028.0021.ec.fits: ap = 110, w1 = 3537.748, w2 = 3463.273, dw = -0.04514, nw = 1651 141028.0021.ec.fits: ap = 111, w1 = 3516.049, w2 = 3442.036, dw = -0.04486, nw = 1651 141028.0021.ec.fits: ap = 112, w1 = 3494.615, w2 = 3421.058, dw = -0.04458, nw = 1651 141028.0021.ec.fits: ap = 113, w1 = 3473.441, w2 = 3400.334, dw = -0.04431, nw = 1651 141028.0021.ec.fits: ap = 114, w1 = 3452.522, w2 = 3379.861, dw = -0.04404, nw = 1651 141028.0021.ec.fits: ap = 115, w1 = 3431.853, w2 = 3359.632, dw = -0.04377, nw = 1651 141028.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.3983002' 141028.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.60169983' 141028.0022.ec.fits: ap = 1, w1 = 10811.7, w2 = 10583.56, dw = -0.13827, nw = 1651 141028.0022.ec.fits: ap = 2, w1 = 10611.5, w2 = 10387.58, dw = -0.13571, nw = 1651 141028.0022.ec.fits: ap = 3, w1 = 10418.58, w2 = 10198.73, dw = -0.13324, nw = 1651 141028.0022.ec.fits: ap = 4, w1 = 10232.55, w2 = 10016.63, dw = -0.13086, nw = 1651 141028.0022.ec.fits: ap = 5, w1 = 10053.05, w2 = 9840.913, dw = -0.12857, nw = 1651 141028.0022.ec.fits: ap = 6, w1 = 9879.738, w2 = 9671.257, dw = -0.12635, nw = 1651 141028.0022.ec.fits: ap = 7, w1 = 9712.3, w2 = 9507.352, dw = -0.12421, nw = 1651 141028.0022.ec.fits: ap = 8, w1 = 9550.442, w2 = 9348.91, dw = -0.12214, nw = 1651 141028.0022.ec.fits: ap = 9, w1 = 9393.891, w2 = 9195.663, dw = -0.12014, nw = 1651 141028.0022.ec.fits: ap = 10, w1 = 9242.39, w2 = 9047.36, dw = -0.1182, nw = 1651 141028.0022.ec.fits: ap = 11, w1 = 9095.698, w2 = 8903.765, dw = -0.11632, nw = 1651 141028.0022.ec.fits: ap = 12, w1 = 8953.59, w2 = 8764.657, dw = -0.11451, nw = 1651 141028.0022.ec.fits: ap = 13, w1 = 8815.855, w2 = 8629.829, dw = -0.11274, nw = 1651 141028.0022.ec.fits: ap = 14, w1 = 8682.293, w2 = 8499.087, dw = -0.11103, nw = 1651 141028.0022.ec.fits: ap = 15, w1 = 8552.718, w2 = 8372.248, dw = -0.10938, nw = 1651 141028.0022.ec.fits: ap = 16, w1 = 8426.954, w2 = 8249.139, dw = -0.10777, nw = 1651 141028.0022.ec.fits: ap = 17, w1 = 8304.835, w2 = 8129.599, dw = -0.1062, nw = 1651 141028.0022.ec.fits: ap = 18, w1 = 8186.205, w2 = 8013.474, dw = -0.10469, nw = 1651 141028.0022.ec.fits: ap = 19, w1 = 8070.917, w2 = 7900.62, dw = -0.10321, nw = 1651 141028.0022.ec.fits: ap = 20, w1 = 7958.831, w2 = 7790.901, dw = -0.10178, nw = 1651 141028.0022.ec.fits: ap = 21, w1 = 7849.816, w2 = 7684.188, dw = -0.10038, nw = 1651 141028.0022.ec.fits: ap = 22, w1 = 7743.747, w2 = 7580.36, dw = -0.09902, nw = 1651 141028.0022.ec.fits: ap = 23, w1 = 7640.507, w2 = 7479.3, dw = -0.0977, nw = 1651 141028.0022.ec.fits: ap = 24, w1 = 7539.983, w2 = 7380.899, dw = -0.09641, nw = 1651 141028.0022.ec.fits: ap = 25, w1 = 7442.071, w2 = 7285.055, dw = -0.09516, nw = 1651 141028.0022.ec.fits: ap = 26, w1 = 7346.669, w2 = 7191.668, dw = -0.09394, nw = 1651 141028.0022.ec.fits: ap = 27, w1 = 7253.682, w2 = 7100.645, dw = -0.09275, nw = 1651 141028.0022.ec.fits: ap = 28, w1 = 7163.02, w2 = 7011.898, dw = -0.09159, nw = 1651 141028.0022.ec.fits: ap = 29, w1 = 7074.596, w2 = 6925.342, dw = -0.09046, nw = 1651 141028.0022.ec.fits: ap = 30, w1 = 6988.33, w2 = 6840.898, dw = -0.08935, nw = 1651 141028.0022.ec.fits: ap = 31, w1 = 6904.141, w2 = 6758.488, dw = -0.08827, nw = 1651 141028.0022.ec.fits: ap = 32, w1 = 6821.958, w2 = 6678.04, dw = -0.08722, nw = 1651 141028.0022.ec.fits: ap = 33, w1 = 6741.708, w2 = 6599.486, dw = -0.0862, nw = 1651 141028.0022.ec.fits: ap = 34, w1 = 6663.324, w2 = 6522.758, dw = -0.08519, nw = 1651 141028.0022.ec.fits: ap = 35, w1 = 6586.743, w2 = 6447.794, dw = -0.08421, nw = 1651 141028.0022.ec.fits: ap = 36, w1 = 6511.901, w2 = 6374.534, dw = -0.08325, nw = 1651 141028.0022.ec.fits: ap = 37, w1 = 6438.742, w2 = 6302.92, dw = -0.08232, nw = 1651 141028.0022.ec.fits: ap = 38, w1 = 6367.209, w2 = 6232.898, dw = -0.0814, nw = 1651 141028.0022.ec.fits: ap = 39, w1 = 6297.247, w2 = 6164.415, dw = -0.0805, nw = 1651 141028.0022.ec.fits: ap = 40, w1 = 6228.807, w2 = 6097.421, dw = -0.07963, nw = 1651 141028.0022.ec.fits: ap = 41, w1 = 6161.839, w2 = 6031.867, dw = -0.07877, nw = 1651 141028.0022.ec.fits: ap = 42, w1 = 6096.295, w2 = 5967.708, dw = -0.07793, nw = 1651 141028.0022.ec.fits: ap = 43, w1 = 6032.132, w2 = 5904.9, dw = -0.07711, nw = 1651 141028.0022.ec.fits: ap = 44, w1 = 5969.305, w2 = 5843.401, dw = -0.07631, nw = 1651 141028.0022.ec.fits: ap = 45, w1 = 5907.773, w2 = 5783.17, dw = -0.07552, nw = 1651 141028.0022.ec.fits: ap = 46, w1 = 5847.498, w2 = 5724.167, dw = -0.07475, nw = 1651 141028.0022.ec.fits: ap = 47, w1 = 5788.44, w2 = 5666.357, dw = -0.07399, nw = 1651 141028.0022.ec.fits: ap = 48, w1 = 5730.563, w2 = 5609.704, dw = -0.07325, nw = 1651 141028.0022.ec.fits: ap = 49, w1 = 5673.833, w2 = 5554.172, dw = -0.07252, nw = 1651 141028.0022.ec.fits: ap = 50, w1 = 5618.215, w2 = 5499.729, dw = -0.07181, nw = 1651 141028.0022.ec.fits: ap = 51, w1 = 5563.677, w2 = 5446.343, dw = -0.07111, nw = 1651 141028.0022.ec.fits: ap = 52, w1 = 5510.188, w2 = 5393.984, dw = -0.07043, nw = 1651 141028.0022.ec.fits: ap = 53, w1 = 5457.717, w2 = 5342.622, dw = -0.06975, nw = 1651 141028.0022.ec.fits: ap = 54, w1 = 5406.237, w2 = 5292.23, dw = -0.0691, nw = 1651 141028.0022.ec.fits: ap = 55, w1 = 5355.72, w2 = 5242.779, dw = -0.06845, nw = 1651 141028.0022.ec.fits: ap = 56, w1 = 5306.137, w2 = 5194.245, dw = -0.06781, nw = 1651 141028.0022.ec.fits: ap = 57, w1 = 5257.465, w2 = 5146.601, dw = -0.06719, nw = 1651 141028.0022.ec.fits: ap = 58, w1 = 5209.678, w2 = 5099.823, dw = -0.06658, nw = 1651 141028.0022.ec.fits: ap = 59, w1 = 5162.751, w2 = 5053.888, dw = -0.06598, nw = 1651 141028.0022.ec.fits: ap = 60, w1 = 5116.663, w2 = 5008.774, dw = -0.06539, nw = 1651 141028.0022.ec.fits: ap = 61, w1 = 5071.391, w2 = 4964.458, dw = -0.06481, nw = 1651 141028.0022.ec.fits: ap = 62, w1 = 5026.913, w2 = 4920.92, dw = -0.06424, nw = 1651 141028.0022.ec.fits: ap = 63, w1 = 4983.208, w2 = 4878.139, dw = -0.06368, nw = 1651 141028.0022.ec.fits: ap = 64, w1 = 4940.257, w2 = 4836.095, dw = -0.06313, nw = 1651 141028.0022.ec.fits: ap = 65, w1 = 4898.041, w2 = 4794.771, dw = -0.06259, nw = 1651 141028.0022.ec.fits: ap = 66, w1 = 4856.54, w2 = 4754.147, dw = -0.06206, nw = 1651 141028.0022.ec.fits: ap = 67, w1 = 4815.736, w2 = 4714.206, dw = -0.06153, nw = 1651 141028.0022.ec.fits: ap = 68, w1 = 4775.613, w2 = 4674.93, dw = -0.06102, nw = 1651 141028.0022.ec.fits: ap = 69, w1 = 4736.153, w2 = 4636.304, dw = -0.06051, nw = 1651 141028.0022.ec.fits: ap = 70, w1 = 4697.34, w2 = 4598.311, dw = -0.06002, nw = 1651 141028.0022.ec.fits: ap = 71, w1 = 4659.158, w2 = 4560.936, dw = -0.05953, nw = 1651 141028.0022.ec.fits: ap = 72, w1 = 4621.592, w2 = 4524.164, dw = -0.05905, nw = 1651 141028.0022.ec.fits: ap = 73, w1 = 4584.627, w2 = 4487.98, dw = -0.05857, nw = 1651 141028.0022.ec.fits: ap = 74, w1 = 4548.249, w2 = 4452.371, dw = -0.05811, nw = 1651 141028.0022.ec.fits: ap = 75, w1 = 4512.444, w2 = 4417.322, dw = -0.05765, nw = 1651 141028.0022.ec.fits: ap = 76, w1 = 4477.198, w2 = 4382.822, dw = -0.0572, nw = 1651 141028.0022.ec.fits: ap = 77, w1 = 4442.499, w2 = 4348.856, dw = -0.05675, nw = 1651 141028.0022.ec.fits: ap = 78, w1 = 4408.334, w2 = 4315.413, dw = -0.05632, nw = 1651 141028.0022.ec.fits: ap = 79, w1 = 4374.691, w2 = 4282.481, dw = -0.05588, nw = 1651 141028.0022.ec.fits: ap = 80, w1 = 4341.557, w2 = 4250.047, dw = -0.05546, nw = 1651 141028.0022.ec.fits: ap = 81, w1 = 4308.921, w2 = 4218.102, dw = -0.05504, nw = 1651 141028.0022.ec.fits: ap = 82, w1 = 4276.773, w2 = 4186.633, dw = -0.05463, nw = 1651 141028.0022.ec.fits: ap = 83, w1 = 4245.101, w2 = 4155.631, dw = -0.05422, nw = 1651 141028.0022.ec.fits: ap = 84, w1 = 4213.895, w2 = 4125.084, dw = -0.05382, nw = 1651 141028.0022.ec.fits: ap = 85, w1 = 4183.144, w2 = 4094.984, dw = -0.05343, nw = 1651 141028.0022.ec.fits: ap = 86, w1 = 4152.839, w2 = 4065.32, dw = -0.05304, nw = 1651 141028.0022.ec.fits: ap = 87, w1 = 4122.971, w2 = 4036.083, dw = -0.05266, nw = 1651 141028.0022.ec.fits: ap = 88, w1 = 4093.528, w2 = 4007.264, dw = -0.05228, nw = 1651 141028.0022.ec.fits: ap = 89, w1 = 4064.504, w2 = 3978.853, dw = -0.05191, nw = 1651 141028.0022.ec.fits: ap = 90, w1 = 4035.888, w2 = 3950.843, dw = -0.05154, nw = 1651 141028.0022.ec.fits: ap = 91, w1 = 4007.672, w2 = 3923.224, dw = -0.05118, nw = 1651 141028.0022.ec.fits: ap = 92, w1 = 3979.849, w2 = 3895.989, dw = -0.05082, nw = 1651 141028.0022.ec.fits: ap = 93, w1 = 3952.409, w2 = 3869.13, dw = -0.05047, nw = 1651 141028.0022.ec.fits: ap = 94, w1 = 3925.345, w2 = 3842.639, dw = -0.05012, nw = 1651 141028.0022.ec.fits: ap = 95, w1 = 3898.65, w2 = 3816.509, dw = -0.04978, nw = 1651 141028.0022.ec.fits: ap = 96, w1 = 3872.315, w2 = 3790.732, dw = -0.04944, nw = 1651 141028.0022.ec.fits: ap = 97, w1 = 3846.333, w2 = 3765.3, dw = -0.04911, nw = 1651 141028.0022.ec.fits: ap = 98, w1 = 3820.698, w2 = 3740.208, dw = -0.04878, nw = 1651 141028.0022.ec.fits: ap = 99, w1 = 3795.403, w2 = 3715.449, dw = -0.04846, nw = 1651 141028.0022.ec.fits: ap = 100, w1 = 3770.44, w2 = 3691.015, dw = -0.04814, nw = 1651 141028.0022.ec.fits: ap = 101, w1 = 3745.804, w2 = 3666.901, dw = -0.04782, nw = 1651 141028.0022.ec.fits: ap = 102, w1 = 3721.488, w2 = 3643.1, dw = -0.04751, nw = 1651 141028.0022.ec.fits: ap = 103, w1 = 3697.485, w2 = 3619.606, dw = -0.0472, nw = 1651 141028.0022.ec.fits: ap = 104, w1 = 3673.79, w2 = 3596.414, dw = -0.04689, nw = 1651 141028.0022.ec.fits: ap = 105, w1 = 3650.397, w2 = 3573.517, dw = -0.04659, nw = 1651 141028.0022.ec.fits: ap = 106, w1 = 3627.3, w2 = 3550.91, dw = -0.0463, nw = 1651 141028.0022.ec.fits: ap = 107, w1 = 3604.493, w2 = 3528.587, dw = -0.046, nw = 1651 141028.0022.ec.fits: ap = 108, w1 = 3581.972, w2 = 3506.544, dw = -0.04571, nw = 1651 141028.0022.ec.fits: ap = 109, w1 = 3559.73, w2 = 3484.774, dw = -0.04543, nw = 1651 141028.0022.ec.fits: ap = 110, w1 = 3537.763, w2 = 3463.273, dw = -0.04515, nw = 1651 141028.0022.ec.fits: ap = 111, w1 = 3516.065, w2 = 3442.036, dw = -0.04487, nw = 1651 141028.0022.ec.fits: ap = 112, w1 = 3494.632, w2 = 3421.059, dw = -0.04459, nw = 1651 141028.0022.ec.fits: ap = 113, w1 = 3473.458, w2 = 3400.335, dw = -0.04432, nw = 1651 141028.0022.ec.fits: ap = 114, w1 = 3452.54, w2 = 3379.862, dw = -0.04405, nw = 1651 141028.0022.ec.fits: ap = 115, w1 = 3431.872, w2 = 3359.633, dw = -0.04378, nw = 1651 141028.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 0.14211291' 141028.0023.ec.fits: REFSPEC2 = 'EchelleThAr.0024.ec 0.85788709' 141028.0023.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.55, dw = -0.13826, nw = 1651 141028.0023.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.58, dw = -0.1357, nw = 1651 141028.0023.ec.fits: ap = 3, w1 = 10418.57, w2 = 10198.73, dw = -0.13324, nw = 1651 141028.0023.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.62, dw = -0.13086, nw = 1651 141028.0023.ec.fits: ap = 5, w1 = 10053.04, w2 = 9840.907, dw = -0.12857, nw = 1651 141028.0023.ec.fits: ap = 6, w1 = 9879.728, w2 = 9671.251, dw = -0.12635, nw = 1651 141028.0023.ec.fits: ap = 7, w1 = 9712.29, w2 = 9507.346, dw = -0.12421, nw = 1651 141028.0023.ec.fits: ap = 8, w1 = 9550.432, w2 = 9348.904, dw = -0.12214, nw = 1651 141028.0023.ec.fits: ap = 9, w1 = 9393.882, w2 = 9195.657, dw = -0.12014, nw = 1651 141028.0023.ec.fits: ap = 10, w1 = 9242.381, w2 = 9047.354, dw = -0.1182, nw = 1651 141028.0023.ec.fits: ap = 11, w1 = 9095.69, w2 = 8903.759, dw = -0.11632, nw = 1651 141028.0023.ec.fits: ap = 12, w1 = 8953.583, w2 = 8764.651, dw = -0.1145, nw = 1651 141028.0023.ec.fits: ap = 13, w1 = 8815.848, w2 = 8629.823, dw = -0.11274, nw = 1651 141028.0023.ec.fits: ap = 14, w1 = 8682.286, w2 = 8499.081, dw = -0.11103, nw = 1651 141028.0023.ec.fits: ap = 15, w1 = 8552.712, w2 = 8372.241, dw = -0.10938, nw = 1651 141028.0023.ec.fits: ap = 16, w1 = 8426.948, w2 = 8249.133, dw = -0.10777, nw = 1651 141028.0023.ec.fits: ap = 17, w1 = 8304.829, w2 = 8129.593, dw = -0.1062, nw = 1651 141028.0023.ec.fits: ap = 18, w1 = 8186.2, w2 = 8013.468, dw = -0.10469, nw = 1651 141028.0023.ec.fits: ap = 19, w1 = 8070.912, w2 = 7900.614, dw = -0.10321, nw = 1651 141028.0023.ec.fits: ap = 20, w1 = 7958.826, w2 = 7790.895, dw = -0.10178, nw = 1651 141028.0023.ec.fits: ap = 21, w1 = 7849.811, w2 = 7684.182, dw = -0.10038, nw = 1651 141028.0023.ec.fits: ap = 22, w1 = 7743.742, w2 = 7580.354, dw = -0.09902, nw = 1651 141028.0023.ec.fits: ap = 23, w1 = 7640.502, w2 = 7479.294, dw = -0.0977, nw = 1651 141028.0023.ec.fits: ap = 24, w1 = 7539.979, w2 = 7380.893, dw = -0.09642, nw = 1651 141028.0023.ec.fits: ap = 25, w1 = 7442.066, w2 = 7285.049, dw = -0.09516, nw = 1651 141028.0023.ec.fits: ap = 26, w1 = 7346.665, w2 = 7191.662, dw = -0.09394, nw = 1651 141028.0023.ec.fits: ap = 27, w1 = 7253.678, w2 = 7100.64, dw = -0.09275, nw = 1651 141028.0023.ec.fits: ap = 28, w1 = 7163.016, w2 = 7011.893, dw = -0.09159, nw = 1651 141028.0023.ec.fits: ap = 29, w1 = 7074.592, w2 = 6925.337, dw = -0.09046, nw = 1651 141028.0023.ec.fits: ap = 30, w1 = 6988.326, w2 = 6840.892, dw = -0.08935, nw = 1651 141028.0023.ec.fits: ap = 31, w1 = 6904.137, w2 = 6758.483, dw = -0.08828, nw = 1651 141028.0023.ec.fits: ap = 32, w1 = 6821.954, w2 = 6678.035, dw = -0.08722, nw = 1651 141028.0023.ec.fits: ap = 33, w1 = 6741.704, w2 = 6599.481, dw = -0.0862, nw = 1651 141028.0023.ec.fits: ap = 34, w1 = 6663.32, w2 = 6522.753, dw = -0.08519, nw = 1651 141028.0023.ec.fits: ap = 35, w1 = 6586.739, w2 = 6447.789, dw = -0.08421, nw = 1651 141028.0023.ec.fits: ap = 36, w1 = 6511.898, w2 = 6374.529, dw = -0.08325, nw = 1651 141028.0023.ec.fits: ap = 37, w1 = 6438.738, w2 = 6302.916, dw = -0.08232, nw = 1651 141028.0023.ec.fits: ap = 38, w1 = 6367.205, w2 = 6232.894, dw = -0.0814, nw = 1651 141028.0023.ec.fits: ap = 39, w1 = 6297.244, w2 = 6164.41, dw = -0.0805, nw = 1651 141028.0023.ec.fits: ap = 40, w1 = 6228.803, w2 = 6097.416, dw = -0.07963, nw = 1651 141028.0023.ec.fits: ap = 41, w1 = 6161.835, w2 = 6031.863, dw = -0.07877, nw = 1651 141028.0023.ec.fits: ap = 42, w1 = 6096.291, w2 = 5967.704, dw = -0.07793, nw = 1651 141028.0023.ec.fits: ap = 43, w1 = 6032.128, w2 = 5904.896, dw = -0.07711, nw = 1651 141028.0023.ec.fits: ap = 44, w1 = 5969.301, w2 = 5843.397, dw = -0.07631, nw = 1651 141028.0023.ec.fits: ap = 45, w1 = 5907.77, w2 = 5783.165, dw = -0.07552, nw = 1651 141028.0023.ec.fits: ap = 46, w1 = 5847.494, w2 = 5724.163, dw = -0.07475, nw = 1651 141028.0023.ec.fits: ap = 47, w1 = 5788.436, w2 = 5666.353, dw = -0.07399, nw = 1651 141028.0023.ec.fits: ap = 48, w1 = 5730.56, w2 = 5609.7, dw = -0.07325, nw = 1651 141028.0023.ec.fits: ap = 49, w1 = 5673.829, w2 = 5554.168, dw = -0.07252, nw = 1651 141028.0023.ec.fits: ap = 50, w1 = 5618.211, w2 = 5499.725, dw = -0.07181, nw = 1651 141028.0023.ec.fits: ap = 51, w1 = 5563.673, w2 = 5446.339, dw = -0.07111, nw = 1651 141028.0023.ec.fits: ap = 52, w1 = 5510.184, w2 = 5393.98, dw = -0.07043, nw = 1651 141028.0023.ec.fits: ap = 53, w1 = 5457.714, w2 = 5342.619, dw = -0.06975, nw = 1651 141028.0023.ec.fits: ap = 54, w1 = 5406.234, w2 = 5292.226, dw = -0.0691, nw = 1651 141028.0023.ec.fits: ap = 55, w1 = 5355.716, w2 = 5242.776, dw = -0.06845, nw = 1651 141028.0023.ec.fits: ap = 56, w1 = 5306.134, w2 = 5194.241, dw = -0.06781, nw = 1651 141028.0023.ec.fits: ap = 57, w1 = 5257.462, w2 = 5146.597, dw = -0.06719, nw = 1651 141028.0023.ec.fits: ap = 58, w1 = 5209.674, w2 = 5099.82, dw = -0.06658, nw = 1651 141028.0023.ec.fits: ap = 59, w1 = 5162.748, w2 = 5053.885, dw = -0.06598, nw = 1651 141028.0023.ec.fits: ap = 60, w1 = 5116.66, w2 = 5008.77, dw = -0.06539, nw = 1651 141028.0023.ec.fits: ap = 61, w1 = 5071.388, w2 = 4964.455, dw = -0.06481, nw = 1651 141028.0023.ec.fits: ap = 62, w1 = 5026.91, w2 = 4920.916, dw = -0.06424, nw = 1651 141028.0023.ec.fits: ap = 63, w1 = 4983.205, w2 = 4878.135, dw = -0.06368, nw = 1651 141028.0023.ec.fits: ap = 64, w1 = 4940.254, w2 = 4836.092, dw = -0.06313, nw = 1651 141028.0023.ec.fits: ap = 65, w1 = 4898.038, w2 = 4794.767, dw = -0.06259, nw = 1651 141028.0023.ec.fits: ap = 66, w1 = 4856.537, w2 = 4754.143, dw = -0.06206, nw = 1651 141028.0023.ec.fits: ap = 67, w1 = 4815.734, w2 = 4714.202, dw = -0.06153, nw = 1651 141028.0023.ec.fits: ap = 68, w1 = 4775.611, w2 = 4674.927, dw = -0.06102, nw = 1651 141028.0023.ec.fits: ap = 69, w1 = 4736.151, w2 = 4636.3, dw = -0.06052, nw = 1651 141028.0023.ec.fits: ap = 70, w1 = 4697.338, w2 = 4598.308, dw = -0.06002, nw = 1651 141028.0023.ec.fits: ap = 71, w1 = 4659.156, w2 = 4560.933, dw = -0.05953, nw = 1651 141028.0023.ec.fits: ap = 72, w1 = 4621.59, w2 = 4524.16, dw = -0.05905, nw = 1651 141028.0023.ec.fits: ap = 73, w1 = 4584.625, w2 = 4487.977, dw = -0.05858, nw = 1651 141028.0023.ec.fits: ap = 74, w1 = 4548.248, w2 = 4452.367, dw = -0.05811, nw = 1651 141028.0023.ec.fits: ap = 75, w1 = 4512.443, w2 = 4417.319, dw = -0.05765, nw = 1651 141028.0023.ec.fits: ap = 76, w1 = 4477.197, w2 = 4382.818, dw = -0.0572, nw = 1651 141028.0023.ec.fits: ap = 77, w1 = 4442.498, w2 = 4348.853, dw = -0.05675, nw = 1651 141028.0023.ec.fits: ap = 78, w1 = 4408.333, w2 = 4315.41, dw = -0.05632, nw = 1651 141028.0023.ec.fits: ap = 79, w1 = 4374.69, w2 = 4282.477, dw = -0.05589, nw = 1651 141028.0023.ec.fits: ap = 80, w1 = 4341.556, w2 = 4250.044, dw = -0.05546, nw = 1651 141028.0023.ec.fits: ap = 81, w1 = 4308.921, w2 = 4218.098, dw = -0.05504, nw = 1651 141028.0023.ec.fits: ap = 82, w1 = 4276.773, w2 = 4186.63, dw = -0.05463, nw = 1651 141028.0023.ec.fits: ap = 83, w1 = 4245.101, w2 = 4155.627, dw = -0.05423, nw = 1651 141028.0023.ec.fits: ap = 84, w1 = 4213.896, w2 = 4125.081, dw = -0.05383, nw = 1651 141028.0023.ec.fits: ap = 85, w1 = 4183.145, w2 = 4094.981, dw = -0.05343, nw = 1651 141028.0023.ec.fits: ap = 86, w1 = 4152.841, w2 = 4065.317, dw = -0.05304, nw = 1651 141028.0023.ec.fits: ap = 87, w1 = 4122.972, w2 = 4036.08, dw = -0.05266, nw = 1651 141028.0023.ec.fits: ap = 88, w1 = 4093.53, w2 = 4007.261, dw = -0.05228, nw = 1651 141028.0023.ec.fits: ap = 89, w1 = 4064.506, w2 = 3978.85, dw = -0.05191, nw = 1651 141028.0023.ec.fits: ap = 90, w1 = 4035.891, w2 = 3950.84, dw = -0.05155, nw = 1651 141028.0023.ec.fits: ap = 91, w1 = 4007.676, w2 = 3923.221, dw = -0.05118, nw = 1651 141028.0023.ec.fits: ap = 92, w1 = 3979.853, w2 = 3895.987, dw = -0.05083, nw = 1651 141028.0023.ec.fits: ap = 93, w1 = 3952.414, w2 = 3869.128, dw = -0.05048, nw = 1651 141028.0023.ec.fits: ap = 94, w1 = 3925.35, w2 = 3842.637, dw = -0.05013, nw = 1651 141028.0023.ec.fits: ap = 95, w1 = 3898.655, w2 = 3816.507, dw = -0.04979, nw = 1651 141028.0023.ec.fits: ap = 96, w1 = 3872.321, w2 = 3790.729, dw = -0.04945, nw = 1651 141028.0023.ec.fits: ap = 97, w1 = 3846.34, w2 = 3765.298, dw = -0.04912, nw = 1651 141028.0023.ec.fits: ap = 98, w1 = 3820.705, w2 = 3740.206, dw = -0.04879, nw = 1651 141028.0023.ec.fits: ap = 99, w1 = 3795.411, w2 = 3715.447, dw = -0.04846, nw = 1651 141028.0023.ec.fits: ap = 100, w1 = 3770.449, w2 = 3691.013, dw = -0.04814, nw = 1651 141028.0023.ec.fits: ap = 101, w1 = 3745.813, w2 = 3666.899, dw = -0.04783, nw = 1651 141028.0023.ec.fits: ap = 102, w1 = 3721.497, w2 = 3643.098, dw = -0.04751, nw = 1651 141028.0023.ec.fits: ap = 103, w1 = 3697.495, w2 = 3619.605, dw = -0.04721, nw = 1651 141028.0023.ec.fits: ap = 104, w1 = 3673.801, w2 = 3596.413, dw = -0.0469, nw = 1651 141028.0023.ec.fits: ap = 105, w1 = 3650.408, w2 = 3573.516, dw = -0.0466, nw = 1651 141028.0023.ec.fits: ap = 106, w1 = 3627.312, w2 = 3550.909, dw = -0.0463, nw = 1651 141028.0023.ec.fits: ap = 107, w1 = 3604.506, w2 = 3528.587, dw = -0.04601, nw = 1651 141028.0023.ec.fits: ap = 108, w1 = 3581.986, w2 = 3506.543, dw = -0.04572, nw = 1651 141028.0023.ec.fits: ap = 109, w1 = 3559.745, w2 = 3484.774, dw = -0.04544, nw = 1651 141028.0023.ec.fits: ap = 110, w1 = 3537.778, w2 = 3463.273, dw = -0.04515, nw = 1651 141028.0023.ec.fits: ap = 111, w1 = 3516.081, w2 = 3442.037, dw = -0.04488, nw = 1651 141028.0023.ec.fits: ap = 112, w1 = 3494.649, w2 = 3421.059, dw = -0.0446, nw = 1651 141028.0023.ec.fits: ap = 113, w1 = 3473.476, w2 = 3400.336, dw = -0.04433, nw = 1651 141028.0023.ec.fits: ap = 114, w1 = 3452.559, w2 = 3379.863, dw = -0.04406, nw = 1651 141028.0023.ec.fits: ap = 115, w1 = 3431.892, w2 = 3359.635, dw = -0.04379, nw = 1651 141028.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.82444185' 141028.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.17555815' 141028.0025.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.54, dw = -0.13827, nw = 1651 141028.0025.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.56, dw = -0.13571, nw = 1651 141028.0025.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.71, dw = -0.13324, nw = 1651 141028.0025.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.61, dw = -0.13086, nw = 1651 141028.0025.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.893, dw = -0.12857, nw = 1651 141028.0025.ec.fits: ap = 6, w1 = 9879.717, w2 = 9671.237, dw = -0.12635, nw = 1651 141028.0025.ec.fits: ap = 7, w1 = 9712.279, w2 = 9507.332, dw = -0.12421, nw = 1651 141028.0025.ec.fits: ap = 8, w1 = 9550.422, w2 = 9348.891, dw = -0.12214, nw = 1651 141028.0025.ec.fits: ap = 9, w1 = 9393.872, w2 = 9195.644, dw = -0.12014, nw = 1651 141028.0025.ec.fits: ap = 10, w1 = 9242.371, w2 = 9047.34, dw = -0.1182, nw = 1651 141028.0025.ec.fits: ap = 11, w1 = 9095.679, w2 = 8903.745, dw = -0.11632, nw = 1651 141028.0025.ec.fits: ap = 12, w1 = 8953.572, w2 = 8764.637, dw = -0.11451, nw = 1651 141028.0025.ec.fits: ap = 13, w1 = 8815.837, w2 = 8629.81, dw = -0.11274, nw = 1651 141028.0025.ec.fits: ap = 14, w1 = 8682.275, w2 = 8499.068, dw = -0.11103, nw = 1651 141028.0025.ec.fits: ap = 15, w1 = 8552.7, w2 = 8372.228, dw = -0.10938, nw = 1651 141028.0025.ec.fits: ap = 16, w1 = 8426.937, w2 = 8249.121, dw = -0.10777, nw = 1651 141028.0025.ec.fits: ap = 17, w1 = 8304.819, w2 = 8129.581, dw = -0.10621, nw = 1651 141028.0025.ec.fits: ap = 18, w1 = 8186.189, w2 = 8013.456, dw = -0.10469, nw = 1651 141028.0025.ec.fits: ap = 19, w1 = 8070.902, w2 = 7900.603, dw = -0.10321, nw = 1651 141028.0025.ec.fits: ap = 20, w1 = 7958.816, w2 = 7790.884, dw = -0.10178, nw = 1651 141028.0025.ec.fits: ap = 21, w1 = 7849.801, w2 = 7684.171, dw = -0.10038, nw = 1651 141028.0025.ec.fits: ap = 22, w1 = 7743.733, w2 = 7580.343, dw = -0.09902, nw = 1651 141028.0025.ec.fits: ap = 23, w1 = 7640.493, w2 = 7479.283, dw = -0.0977, nw = 1651 141028.0025.ec.fits: ap = 24, w1 = 7539.97, w2 = 7380.883, dw = -0.09642, nw = 1651 141028.0025.ec.fits: ap = 25, w1 = 7442.057, w2 = 7285.039, dw = -0.09516, nw = 1651 141028.0025.ec.fits: ap = 26, w1 = 7346.656, w2 = 7191.652, dw = -0.09394, nw = 1651 141028.0025.ec.fits: ap = 27, w1 = 7253.669, w2 = 7100.63, dw = -0.09275, nw = 1651 141028.0025.ec.fits: ap = 28, w1 = 7163.007, w2 = 7011.883, dw = -0.09159, nw = 1651 141028.0025.ec.fits: ap = 29, w1 = 7074.584, w2 = 6925.328, dw = -0.09046, nw = 1651 141028.0025.ec.fits: ap = 30, w1 = 6988.317, w2 = 6840.883, dw = -0.08935, nw = 1651 141028.0025.ec.fits: ap = 31, w1 = 6904.129, w2 = 6758.474, dw = -0.08828, nw = 1651 141028.0025.ec.fits: ap = 32, w1 = 6821.946, w2 = 6678.027, dw = -0.08722, nw = 1651 141028.0025.ec.fits: ap = 33, w1 = 6741.696, w2 = 6599.472, dw = -0.0862, nw = 1651 141028.0025.ec.fits: ap = 34, w1 = 6663.313, w2 = 6522.745, dw = -0.08519, nw = 1651 141028.0025.ec.fits: ap = 35, w1 = 6586.731, w2 = 6447.781, dw = -0.08421, nw = 1651 141028.0025.ec.fits: ap = 36, w1 = 6511.89, w2 = 6374.521, dw = -0.08325, nw = 1651 141028.0025.ec.fits: ap = 37, w1 = 6438.731, w2 = 6302.908, dw = -0.08232, nw = 1651 141028.0025.ec.fits: ap = 38, w1 = 6367.198, w2 = 6232.886, dw = -0.0814, nw = 1651 141028.0025.ec.fits: ap = 39, w1 = 6297.237, w2 = 6164.403, dw = -0.08051, nw = 1651 141028.0025.ec.fits: ap = 40, w1 = 6228.797, w2 = 6097.409, dw = -0.07963, nw = 1651 141028.0025.ec.fits: ap = 41, w1 = 6161.828, w2 = 6031.855, dw = -0.07877, nw = 1651 141028.0025.ec.fits: ap = 42, w1 = 6096.285, w2 = 5967.697, dw = -0.07793, nw = 1651 141028.0025.ec.fits: ap = 43, w1 = 6032.121, w2 = 5904.889, dw = -0.07711, nw = 1651 141028.0025.ec.fits: ap = 44, w1 = 5969.295, w2 = 5843.389, dw = -0.07631, nw = 1651 141028.0025.ec.fits: ap = 45, w1 = 5907.763, w2 = 5783.158, dw = -0.07552, nw = 1651 141028.0025.ec.fits: ap = 46, w1 = 5847.488, w2 = 5724.156, dw = -0.07475, nw = 1651 141028.0025.ec.fits: ap = 47, w1 = 5788.43, w2 = 5666.346, dw = -0.07399, nw = 1651 141028.0025.ec.fits: ap = 48, w1 = 5730.554, w2 = 5609.693, dw = -0.07325, nw = 1651 141028.0025.ec.fits: ap = 49, w1 = 5673.824, w2 = 5554.161, dw = -0.07252, nw = 1651 141028.0025.ec.fits: ap = 50, w1 = 5618.206, w2 = 5499.718, dw = -0.07181, nw = 1651 141028.0025.ec.fits: ap = 51, w1 = 5563.668, w2 = 5446.333, dw = -0.07111, nw = 1651 141028.0025.ec.fits: ap = 52, w1 = 5510.179, w2 = 5393.974, dw = -0.07043, nw = 1651 141028.0025.ec.fits: ap = 53, w1 = 5457.709, w2 = 5342.612, dw = -0.06976, nw = 1651 141028.0025.ec.fits: ap = 54, w1 = 5406.229, w2 = 5292.22, dw = -0.0691, nw = 1651 141028.0025.ec.fits: ap = 55, w1 = 5355.711, w2 = 5242.769, dw = -0.06845, nw = 1651 141028.0025.ec.fits: ap = 56, w1 = 5306.129, w2 = 5194.235, dw = -0.06781, nw = 1651 141028.0025.ec.fits: ap = 57, w1 = 5257.457, w2 = 5146.591, dw = -0.06719, nw = 1651 141028.0025.ec.fits: ap = 58, w1 = 5209.669, w2 = 5099.813, dw = -0.06658, nw = 1651 141028.0025.ec.fits: ap = 59, w1 = 5162.743, w2 = 5053.879, dw = -0.06598, nw = 1651 141028.0025.ec.fits: ap = 60, w1 = 5116.655, w2 = 5008.764, dw = -0.06539, nw = 1651 141028.0025.ec.fits: ap = 61, w1 = 5071.383, w2 = 4964.448, dw = -0.06481, nw = 1651 141028.0025.ec.fits: ap = 62, w1 = 5026.905, w2 = 4920.91, dw = -0.06424, nw = 1651 141028.0025.ec.fits: ap = 63, w1 = 4983.2, w2 = 4878.129, dw = -0.06368, nw = 1651 141028.0025.ec.fits: ap = 64, w1 = 4940.25, w2 = 4836.086, dw = -0.06313, nw = 1651 141028.0025.ec.fits: ap = 65, w1 = 4898.033, w2 = 4794.761, dw = -0.06259, nw = 1651 141028.0025.ec.fits: ap = 66, w1 = 4856.532, w2 = 4754.137, dw = -0.06206, nw = 1651 141028.0025.ec.fits: ap = 67, w1 = 4815.729, w2 = 4714.196, dw = -0.06154, nw = 1651 141028.0025.ec.fits: ap = 68, w1 = 4775.606, w2 = 4674.921, dw = -0.06102, nw = 1651 141028.0025.ec.fits: ap = 69, w1 = 4736.146, w2 = 4636.294, dw = -0.06052, nw = 1651 141028.0025.ec.fits: ap = 70, w1 = 4697.333, w2 = 4598.301, dw = -0.06002, nw = 1651 141028.0025.ec.fits: ap = 71, w1 = 4659.151, w2 = 4560.926, dw = -0.05953, nw = 1651 141028.0025.ec.fits: ap = 72, w1 = 4621.585, w2 = 4524.154, dw = -0.05905, nw = 1651 141028.0025.ec.fits: ap = 73, w1 = 4584.62, w2 = 4487.971, dw = -0.05858, nw = 1651 141028.0025.ec.fits: ap = 74, w1 = 4548.242, w2 = 4452.361, dw = -0.05811, nw = 1651 141028.0025.ec.fits: ap = 75, w1 = 4512.437, w2 = 4417.313, dw = -0.05765, nw = 1651 141028.0025.ec.fits: ap = 76, w1 = 4477.191, w2 = 4382.812, dw = -0.0572, nw = 1651 141028.0025.ec.fits: ap = 77, w1 = 4442.492, w2 = 4348.846, dw = -0.05676, nw = 1651 141028.0025.ec.fits: ap = 78, w1 = 4408.327, w2 = 4315.403, dw = -0.05632, nw = 1651 141028.0025.ec.fits: ap = 79, w1 = 4374.684, w2 = 4282.471, dw = -0.05589, nw = 1651 141028.0025.ec.fits: ap = 80, w1 = 4341.55, w2 = 4250.038, dw = -0.05546, nw = 1651 141028.0025.ec.fits: ap = 81, w1 = 4308.915, w2 = 4218.092, dw = -0.05504, nw = 1651 141028.0025.ec.fits: ap = 82, w1 = 4276.766, w2 = 4186.623, dw = -0.05463, nw = 1651 141028.0025.ec.fits: ap = 83, w1 = 4245.094, w2 = 4155.621, dw = -0.05423, nw = 1651 141028.0025.ec.fits: ap = 84, w1 = 4213.888, w2 = 4125.075, dw = -0.05383, nw = 1651 141028.0025.ec.fits: ap = 85, w1 = 4183.138, w2 = 4094.974, dw = -0.05343, nw = 1651 141028.0025.ec.fits: ap = 86, w1 = 4152.833, w2 = 4065.31, dw = -0.05304, nw = 1651 141028.0025.ec.fits: ap = 87, w1 = 4122.964, w2 = 4036.073, dw = -0.05266, nw = 1651 141028.0025.ec.fits: ap = 88, w1 = 4093.522, w2 = 4007.254, dw = -0.05228, nw = 1651 141028.0025.ec.fits: ap = 89, w1 = 4064.498, w2 = 3978.844, dw = -0.05191, nw = 1651 141028.0025.ec.fits: ap = 90, w1 = 4035.882, w2 = 3950.833, dw = -0.05154, nw = 1651 141028.0025.ec.fits: ap = 91, w1 = 4007.667, w2 = 3923.215, dw = -0.05118, nw = 1651 141028.0025.ec.fits: ap = 92, w1 = 3979.843, w2 = 3895.98, dw = -0.05083, nw = 1651 141028.0025.ec.fits: ap = 93, w1 = 3952.404, w2 = 3869.121, dw = -0.05047, nw = 1651 141028.0025.ec.fits: ap = 94, w1 = 3925.34, w2 = 3842.631, dw = -0.05013, nw = 1651 141028.0025.ec.fits: ap = 95, w1 = 3898.644, w2 = 3816.5, dw = -0.04978, nw = 1651 141028.0025.ec.fits: ap = 96, w1 = 3872.31, w2 = 3790.723, dw = -0.04945, nw = 1651 141028.0025.ec.fits: ap = 97, w1 = 3846.328, w2 = 3765.292, dw = -0.04911, nw = 1651 141028.0025.ec.fits: ap = 98, w1 = 3820.694, w2 = 3740.2, dw = -0.04878, nw = 1651 141028.0025.ec.fits: ap = 99, w1 = 3795.398, w2 = 3715.441, dw = -0.04846, nw = 1651 141028.0025.ec.fits: ap = 100, w1 = 3770.436, w2 = 3691.007, dw = -0.04814, nw = 1651 141028.0025.ec.fits: ap = 101, w1 = 3745.8, w2 = 3666.893, dw = -0.04782, nw = 1651 141028.0025.ec.fits: ap = 102, w1 = 3721.484, w2 = 3643.092, dw = -0.04751, nw = 1651 141028.0025.ec.fits: ap = 103, w1 = 3697.481, w2 = 3619.599, dw = -0.0472, nw = 1651 141028.0025.ec.fits: ap = 104, w1 = 3673.786, w2 = 3596.407, dw = -0.0469, nw = 1651 141028.0025.ec.fits: ap = 105, w1 = 3650.393, w2 = 3573.51, dw = -0.0466, nw = 1651 141028.0025.ec.fits: ap = 106, w1 = 3627.297, w2 = 3550.903, dw = -0.0463, nw = 1651 141028.0025.ec.fits: ap = 107, w1 = 3604.49, w2 = 3528.581, dw = -0.04601, nw = 1651 141028.0025.ec.fits: ap = 108, w1 = 3581.969, w2 = 3506.538, dw = -0.04572, nw = 1651 141028.0025.ec.fits: ap = 109, w1 = 3559.727, w2 = 3484.768, dw = -0.04543, nw = 1651 141028.0025.ec.fits: ap = 110, w1 = 3537.76, w2 = 3463.268, dw = -0.04515, nw = 1651 141028.0025.ec.fits: ap = 111, w1 = 3516.063, w2 = 3442.032, dw = -0.04487, nw = 1651 141028.0025.ec.fits: ap = 112, w1 = 3494.63, w2 = 3421.054, dw = -0.04459, nw = 1651 141028.0025.ec.fits: ap = 113, w1 = 3473.457, w2 = 3400.331, dw = -0.04432, nw = 1651 141028.0025.ec.fits: ap = 114, w1 = 3452.539, w2 = 3379.858, dw = -0.04405, nw = 1651 141028.0025.ec.fits: ap = 115, w1 = 3431.871, w2 = 3359.63, dw = -0.04378, nw = 1651 141028.0026.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.6099059' 141028.0026.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.39009407' 141028.0026.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.52, dw = -0.13827, nw = 1651 141028.0026.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.55, dw = -0.13571, nw = 1651 141028.0026.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.7, dw = -0.13325, nw = 1651 141028.0026.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.59, dw = -0.13087, nw = 1651 141028.0026.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.879, dw = -0.12857, nw = 1651 141028.0026.ec.fits: ap = 6, w1 = 9879.711, w2 = 9671.223, dw = -0.12636, nw = 1651 141028.0026.ec.fits: ap = 7, w1 = 9712.272, w2 = 9507.318, dw = -0.12421, nw = 1651 141028.0026.ec.fits: ap = 8, w1 = 9550.415, w2 = 9348.878, dw = -0.12214, nw = 1651 141028.0026.ec.fits: ap = 9, w1 = 9393.864, w2 = 9195.631, dw = -0.12014, nw = 1651 141028.0026.ec.fits: ap = 10, w1 = 9242.363, w2 = 9047.328, dw = -0.1182, nw = 1651 141028.0026.ec.fits: ap = 11, w1 = 9095.671, w2 = 8903.733, dw = -0.11633, nw = 1651 141028.0026.ec.fits: ap = 12, w1 = 8953.564, w2 = 8764.626, dw = -0.11451, nw = 1651 141028.0026.ec.fits: ap = 13, w1 = 8815.829, w2 = 8629.798, dw = -0.11275, nw = 1651 141028.0026.ec.fits: ap = 14, w1 = 8682.267, w2 = 8499.057, dw = -0.11104, nw = 1651 141028.0026.ec.fits: ap = 15, w1 = 8552.692, w2 = 8372.218, dw = -0.10938, nw = 1651 141028.0026.ec.fits: ap = 16, w1 = 8426.929, w2 = 8249.11, dw = -0.10777, nw = 1651 141028.0026.ec.fits: ap = 17, w1 = 8304.81, w2 = 8129.57, dw = -0.10621, nw = 1651 141028.0026.ec.fits: ap = 18, w1 = 8186.181, w2 = 8013.446, dw = -0.10469, nw = 1651 141028.0026.ec.fits: ap = 19, w1 = 8070.893, w2 = 7900.593, dw = -0.10321, nw = 1651 141028.0026.ec.fits: ap = 20, w1 = 7958.808, w2 = 7790.875, dw = -0.10178, nw = 1651 141028.0026.ec.fits: ap = 21, w1 = 7849.793, w2 = 7684.162, dw = -0.10038, nw = 1651 141028.0026.ec.fits: ap = 22, w1 = 7743.724, w2 = 7580.334, dw = -0.09902, nw = 1651 141028.0026.ec.fits: ap = 23, w1 = 7640.485, w2 = 7479.275, dw = -0.0977, nw = 1651 141028.0026.ec.fits: ap = 24, w1 = 7539.961, w2 = 7380.875, dw = -0.09642, nw = 1651 141028.0026.ec.fits: ap = 25, w1 = 7442.049, w2 = 7285.031, dw = -0.09516, nw = 1651 141028.0026.ec.fits: ap = 26, w1 = 7346.648, w2 = 7191.644, dw = -0.09394, nw = 1651 141028.0026.ec.fits: ap = 27, w1 = 7253.661, w2 = 7100.622, dw = -0.09275, nw = 1651 141028.0026.ec.fits: ap = 28, w1 = 7162.999, w2 = 7011.875, dw = -0.09159, nw = 1651 141028.0026.ec.fits: ap = 29, w1 = 7074.576, w2 = 6925.32, dw = -0.09046, nw = 1651 141028.0026.ec.fits: ap = 30, w1 = 6988.31, w2 = 6840.876, dw = -0.08935, nw = 1651 141028.0026.ec.fits: ap = 31, w1 = 6904.122, w2 = 6758.467, dw = -0.08828, nw = 1651 141028.0026.ec.fits: ap = 32, w1 = 6821.939, w2 = 6678.019, dw = -0.08722, nw = 1651 141028.0026.ec.fits: ap = 33, w1 = 6741.689, w2 = 6599.465, dw = -0.0862, nw = 1651 141028.0026.ec.fits: ap = 34, w1 = 6663.306, w2 = 6522.738, dw = -0.08519, nw = 1651 141028.0026.ec.fits: ap = 35, w1 = 6586.725, w2 = 6447.774, dw = -0.08421, nw = 1651 141028.0026.ec.fits: ap = 36, w1 = 6511.884, w2 = 6374.515, dw = -0.08325, nw = 1651 141028.0026.ec.fits: ap = 37, w1 = 6438.725, w2 = 6302.901, dw = -0.08232, nw = 1651 141028.0026.ec.fits: ap = 38, w1 = 6367.192, w2 = 6232.879, dw = -0.0814, nw = 1651 141028.0026.ec.fits: ap = 39, w1 = 6297.231, w2 = 6164.397, dw = -0.08051, nw = 1651 141028.0026.ec.fits: ap = 40, w1 = 6228.791, w2 = 6097.402, dw = -0.07963, nw = 1651 141028.0026.ec.fits: ap = 41, w1 = 6161.823, w2 = 6031.849, dw = -0.07877, nw = 1651 141028.0026.ec.fits: ap = 42, w1 = 6096.279, w2 = 5967.691, dw = -0.07793, nw = 1651 141028.0026.ec.fits: ap = 43, w1 = 6032.116, w2 = 5904.883, dw = -0.07711, nw = 1651 141028.0026.ec.fits: ap = 44, w1 = 5969.29, w2 = 5843.384, dw = -0.07631, nw = 1651 141028.0026.ec.fits: ap = 45, w1 = 5907.759, w2 = 5783.153, dw = -0.07552, nw = 1651 141028.0026.ec.fits: ap = 46, w1 = 5847.483, w2 = 5724.151, dw = -0.07475, nw = 1651 141028.0026.ec.fits: ap = 47, w1 = 5788.426, w2 = 5666.341, dw = -0.07399, nw = 1651 141028.0026.ec.fits: ap = 48, w1 = 5730.549, w2 = 5609.687, dw = -0.07325, nw = 1651 141028.0026.ec.fits: ap = 49, w1 = 5673.819, w2 = 5554.156, dw = -0.07252, nw = 1651 141028.0026.ec.fits: ap = 50, w1 = 5618.201, w2 = 5499.713, dw = -0.07181, nw = 1651 141028.0026.ec.fits: ap = 51, w1 = 5563.664, w2 = 5446.327, dw = -0.07111, nw = 1651 141028.0026.ec.fits: ap = 52, w1 = 5510.175, w2 = 5393.969, dw = -0.07043, nw = 1651 141028.0026.ec.fits: ap = 53, w1 = 5457.705, w2 = 5342.607, dw = -0.06976, nw = 1651 141028.0026.ec.fits: ap = 54, w1 = 5406.225, w2 = 5292.215, dw = -0.0691, nw = 1651 141028.0026.ec.fits: ap = 55, w1 = 5355.707, w2 = 5242.764, dw = -0.06845, nw = 1651 141028.0026.ec.fits: ap = 56, w1 = 5306.125, w2 = 5194.23, dw = -0.06782, nw = 1651 141028.0026.ec.fits: ap = 57, w1 = 5257.453, w2 = 5146.586, dw = -0.06719, nw = 1651 141028.0026.ec.fits: ap = 58, w1 = 5209.666, w2 = 5099.808, dw = -0.06658, nw = 1651 141028.0026.ec.fits: ap = 59, w1 = 5162.739, w2 = 5053.874, dw = -0.06598, nw = 1651 141028.0026.ec.fits: ap = 60, w1 = 5116.651, w2 = 5008.759, dw = -0.06539, nw = 1651 141028.0026.ec.fits: ap = 61, w1 = 5071.379, w2 = 4964.443, dw = -0.06481, nw = 1651 141028.0026.ec.fits: ap = 62, w1 = 5026.901, w2 = 4920.905, dw = -0.06424, nw = 1651 141028.0026.ec.fits: ap = 63, w1 = 4983.197, w2 = 4878.124, dw = -0.06368, nw = 1651 141028.0026.ec.fits: ap = 64, w1 = 4940.246, w2 = 4836.081, dw = -0.06313, nw = 1651 141028.0026.ec.fits: ap = 65, w1 = 4898.029, w2 = 4794.756, dw = -0.06259, nw = 1651 141028.0026.ec.fits: ap = 66, w1 = 4856.528, w2 = 4754.132, dw = -0.06206, nw = 1651 141028.0026.ec.fits: ap = 67, w1 = 4815.725, w2 = 4714.191, dw = -0.06154, nw = 1651 141028.0026.ec.fits: ap = 68, w1 = 4775.601, w2 = 4674.916, dw = -0.06102, nw = 1651 141028.0026.ec.fits: ap = 69, w1 = 4736.141, w2 = 4636.289, dw = -0.06052, nw = 1651 141028.0026.ec.fits: ap = 70, w1 = 4697.328, w2 = 4598.296, dw = -0.06002, nw = 1651 141028.0026.ec.fits: ap = 71, w1 = 4659.146, w2 = 4560.921, dw = -0.05953, nw = 1651 141028.0026.ec.fits: ap = 72, w1 = 4621.58, w2 = 4524.149, dw = -0.05905, nw = 1651 141028.0026.ec.fits: ap = 73, w1 = 4584.615, w2 = 4487.965, dw = -0.05858, nw = 1651 141028.0026.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.356, dw = -0.05811, nw = 1651 141028.0026.ec.fits: ap = 75, w1 = 4512.431, w2 = 4417.308, dw = -0.05765, nw = 1651 141028.0026.ec.fits: ap = 76, w1 = 4477.185, w2 = 4382.807, dw = -0.0572, nw = 1651 141028.0026.ec.fits: ap = 77, w1 = 4442.486, w2 = 4348.841, dw = -0.05675, nw = 1651 141028.0026.ec.fits: ap = 78, w1 = 4408.32, w2 = 4315.398, dw = -0.05632, nw = 1651 141028.0026.ec.fits: ap = 79, w1 = 4374.676, w2 = 4282.466, dw = -0.05589, nw = 1651 141028.0026.ec.fits: ap = 80, w1 = 4341.542, w2 = 4250.032, dw = -0.05546, nw = 1651 141028.0026.ec.fits: ap = 81, w1 = 4308.906, w2 = 4218.087, dw = -0.05504, nw = 1651 141028.0026.ec.fits: ap = 82, w1 = 4276.758, w2 = 4186.618, dw = -0.05463, nw = 1651 141028.0026.ec.fits: ap = 83, w1 = 4245.085, w2 = 4155.615, dw = -0.05422, nw = 1651 141028.0026.ec.fits: ap = 84, w1 = 4213.879, w2 = 4125.069, dw = -0.05382, nw = 1651 141028.0026.ec.fits: ap = 85, w1 = 4183.128, w2 = 4094.969, dw = -0.05343, nw = 1651 141028.0026.ec.fits: ap = 86, w1 = 4152.822, w2 = 4065.305, dw = -0.05304, nw = 1651 141028.0026.ec.fits: ap = 87, w1 = 4122.953, w2 = 4036.068, dw = -0.05266, nw = 1651 141028.0026.ec.fits: ap = 88, w1 = 4093.51, w2 = 4007.248, dw = -0.05228, nw = 1651 141028.0026.ec.fits: ap = 89, w1 = 4064.485, w2 = 3978.838, dw = -0.05191, nw = 1651 141028.0026.ec.fits: ap = 90, w1 = 4035.869, w2 = 3950.827, dw = -0.05154, nw = 1651 141028.0026.ec.fits: ap = 91, w1 = 4007.653, w2 = 3923.209, dw = -0.05118, nw = 1651 141028.0026.ec.fits: ap = 92, w1 = 3979.829, w2 = 3895.974, dw = -0.05082, nw = 1651 141028.0026.ec.fits: ap = 93, w1 = 3952.389, w2 = 3869.115, dw = -0.05047, nw = 1651 141028.0026.ec.fits: ap = 94, w1 = 3925.324, w2 = 3842.624, dw = -0.05012, nw = 1651 141028.0026.ec.fits: ap = 95, w1 = 3898.628, w2 = 3816.494, dw = -0.04978, nw = 1651 141028.0026.ec.fits: ap = 96, w1 = 3872.292, w2 = 3790.717, dw = -0.04944, nw = 1651 141028.0026.ec.fits: ap = 97, w1 = 3846.31, w2 = 3765.286, dw = -0.04911, nw = 1651 141028.0026.ec.fits: ap = 98, w1 = 3820.674, w2 = 3740.194, dw = -0.04878, nw = 1651 141028.0026.ec.fits: ap = 99, w1 = 3795.378, w2 = 3715.434, dw = -0.04845, nw = 1651 141028.0026.ec.fits: ap = 100, w1 = 3770.415, w2 = 3691.001, dw = -0.04813, nw = 1651 141028.0026.ec.fits: ap = 101, w1 = 3745.778, w2 = 3666.887, dw = -0.04781, nw = 1651 141028.0026.ec.fits: ap = 102, w1 = 3721.461, w2 = 3643.086, dw = -0.0475, nw = 1651 141028.0026.ec.fits: ap = 103, w1 = 3697.457, w2 = 3619.592, dw = -0.04719, nw = 1651 141028.0026.ec.fits: ap = 104, w1 = 3673.761, w2 = 3596.4, dw = -0.04689, nw = 1651 141028.0026.ec.fits: ap = 105, w1 = 3650.367, w2 = 3573.503, dw = -0.04658, nw = 1651 141028.0026.ec.fits: ap = 106, w1 = 3627.269, w2 = 3550.896, dw = -0.04629, nw = 1651 141028.0026.ec.fits: ap = 107, w1 = 3604.462, w2 = 3528.574, dw = -0.04599, nw = 1651 141028.0026.ec.fits: ap = 108, w1 = 3581.939, w2 = 3506.531, dw = -0.0457, nw = 1651 141028.0026.ec.fits: ap = 109, w1 = 3559.696, w2 = 3484.762, dw = -0.04541, nw = 1651 141028.0026.ec.fits: ap = 110, w1 = 3537.728, w2 = 3463.261, dw = -0.04513, nw = 1651 141028.0026.ec.fits: ap = 111, w1 = 3516.029, w2 = 3442.025, dw = -0.04485, nw = 1651 141028.0026.ec.fits: ap = 112, w1 = 3494.595, w2 = 3421.047, dw = -0.04457, nw = 1651 141028.0026.ec.fits: ap = 113, w1 = 3473.42, w2 = 3400.325, dw = -0.0443, nw = 1651 141028.0026.ec.fits: ap = 114, w1 = 3452.501, w2 = 3379.851, dw = -0.04403, nw = 1651 141028.0026.ec.fits: ap = 115, w1 = 3431.832, w2 = 3359.623, dw = -0.04376, nw = 1651 141028.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.40892836' 141028.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.59107161' 141028.0027.ec.fits: ap = 1, w1 = 10811.67, w2 = 10583.51, dw = -0.13828, nw = 1651 141028.0027.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.53, dw = -0.13572, nw = 1651 141028.0027.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.68, dw = -0.13325, nw = 1651 141028.0027.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.58, dw = -0.13087, nw = 1651 141028.0027.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.866, dw = -0.12858, nw = 1651 141028.0027.ec.fits: ap = 6, w1 = 9879.705, w2 = 9671.21, dw = -0.12636, nw = 1651 141028.0027.ec.fits: ap = 7, w1 = 9712.266, w2 = 9507.306, dw = -0.12422, nw = 1651 141028.0027.ec.fits: ap = 8, w1 = 9550.409, w2 = 9348.866, dw = -0.12215, nw = 1651 141028.0027.ec.fits: ap = 9, w1 = 9393.857, w2 = 9195.619, dw = -0.12014, nw = 1651 141028.0027.ec.fits: ap = 10, w1 = 9242.356, w2 = 9047.317, dw = -0.11821, nw = 1651 141028.0027.ec.fits: ap = 11, w1 = 9095.664, w2 = 8903.722, dw = -0.11633, nw = 1651 141028.0027.ec.fits: ap = 12, w1 = 8953.556, w2 = 8764.615, dw = -0.11451, nw = 1651 141028.0027.ec.fits: ap = 13, w1 = 8815.821, w2 = 8629.788, dw = -0.11275, nw = 1651 141028.0027.ec.fits: ap = 14, w1 = 8682.259, w2 = 8499.047, dw = -0.11104, nw = 1651 141028.0027.ec.fits: ap = 15, w1 = 8552.685, w2 = 8372.208, dw = -0.10938, nw = 1651 141028.0027.ec.fits: ap = 16, w1 = 8426.921, w2 = 8249.1, dw = -0.10777, nw = 1651 141028.0027.ec.fits: ap = 17, w1 = 8304.803, w2 = 8129.561, dw = -0.10621, nw = 1651 141028.0027.ec.fits: ap = 18, w1 = 8186.173, w2 = 8013.437, dw = -0.10469, nw = 1651 141028.0027.ec.fits: ap = 19, w1 = 8070.885, w2 = 7900.584, dw = -0.10321, nw = 1651 141028.0027.ec.fits: ap = 20, w1 = 7958.8, w2 = 7790.866, dw = -0.10178, nw = 1651 141028.0027.ec.fits: ap = 21, w1 = 7849.785, w2 = 7684.154, dw = -0.10038, nw = 1651 141028.0027.ec.fits: ap = 22, w1 = 7743.717, w2 = 7580.326, dw = -0.09902, nw = 1651 141028.0027.ec.fits: ap = 23, w1 = 7640.477, w2 = 7479.266, dw = -0.0977, nw = 1651 141028.0027.ec.fits: ap = 24, w1 = 7539.954, w2 = 7380.867, dw = -0.09642, nw = 1651 141028.0027.ec.fits: ap = 25, w1 = 7442.042, w2 = 7285.023, dw = -0.09516, nw = 1651 141028.0027.ec.fits: ap = 26, w1 = 7346.64, w2 = 7191.636, dw = -0.09394, nw = 1651 141028.0027.ec.fits: ap = 27, w1 = 7253.654, w2 = 7100.614, dw = -0.09275, nw = 1651 141028.0027.ec.fits: ap = 28, w1 = 7162.992, w2 = 7011.868, dw = -0.09159, nw = 1651 141028.0027.ec.fits: ap = 29, w1 = 7074.569, w2 = 6925.313, dw = -0.09046, nw = 1651 141028.0027.ec.fits: ap = 30, w1 = 6988.303, w2 = 6840.869, dw = -0.08935, nw = 1651 141028.0027.ec.fits: ap = 31, w1 = 6904.115, w2 = 6758.46, dw = -0.08828, nw = 1651 141028.0027.ec.fits: ap = 32, w1 = 6821.932, w2 = 6678.013, dw = -0.08722, nw = 1651 141028.0027.ec.fits: ap = 33, w1 = 6741.683, w2 = 6599.459, dw = -0.0862, nw = 1651 141028.0027.ec.fits: ap = 34, w1 = 6663.3, w2 = 6522.731, dw = -0.08519, nw = 1651 141028.0027.ec.fits: ap = 35, w1 = 6586.718, w2 = 6447.768, dw = -0.08421, nw = 1651 141028.0027.ec.fits: ap = 36, w1 = 6511.878, w2 = 6374.509, dw = -0.08325, nw = 1651 141028.0027.ec.fits: ap = 37, w1 = 6438.719, w2 = 6302.895, dw = -0.08232, nw = 1651 141028.0027.ec.fits: ap = 38, w1 = 6367.186, w2 = 6232.874, dw = -0.0814, nw = 1651 141028.0027.ec.fits: ap = 39, w1 = 6297.225, w2 = 6164.391, dw = -0.08051, nw = 1651 141028.0027.ec.fits: ap = 40, w1 = 6228.785, w2 = 6097.397, dw = -0.07963, nw = 1651 141028.0027.ec.fits: ap = 41, w1 = 6161.818, w2 = 6031.844, dw = -0.07877, nw = 1651 141028.0027.ec.fits: ap = 42, w1 = 6096.274, w2 = 5967.685, dw = -0.07793, nw = 1651 141028.0027.ec.fits: ap = 43, w1 = 6032.111, w2 = 5904.878, dw = -0.07711, nw = 1651 141028.0027.ec.fits: ap = 44, w1 = 5969.285, w2 = 5843.378, dw = -0.07631, nw = 1651 141028.0027.ec.fits: ap = 45, w1 = 5907.754, w2 = 5783.147, dw = -0.07552, nw = 1651 141028.0027.ec.fits: ap = 46, w1 = 5847.479, w2 = 5724.146, dw = -0.07475, nw = 1651 141028.0027.ec.fits: ap = 47, w1 = 5788.421, w2 = 5666.336, dw = -0.07399, nw = 1651 141028.0027.ec.fits: ap = 48, w1 = 5730.545, w2 = 5609.682, dw = -0.07325, nw = 1651 141028.0027.ec.fits: ap = 49, w1 = 5673.815, w2 = 5554.151, dw = -0.07252, nw = 1651 141028.0027.ec.fits: ap = 50, w1 = 5618.197, w2 = 5499.708, dw = -0.07181, nw = 1651 141028.0027.ec.fits: ap = 51, w1 = 5563.66, w2 = 5446.322, dw = -0.07111, nw = 1651 141028.0027.ec.fits: ap = 52, w1 = 5510.171, w2 = 5393.964, dw = -0.07043, nw = 1651 141028.0027.ec.fits: ap = 53, w1 = 5457.701, w2 = 5342.602, dw = -0.06976, nw = 1651 141028.0027.ec.fits: ap = 54, w1 = 5406.221, w2 = 5292.21, dw = -0.0691, nw = 1651 141028.0027.ec.fits: ap = 55, w1 = 5355.704, w2 = 5242.76, dw = -0.06845, nw = 1651 141028.0027.ec.fits: ap = 56, w1 = 5306.122, w2 = 5194.225, dw = -0.06782, nw = 1651 141028.0027.ec.fits: ap = 57, w1 = 5257.449, w2 = 5146.581, dw = -0.06719, nw = 1651 141028.0027.ec.fits: ap = 58, w1 = 5209.662, w2 = 5099.804, dw = -0.06658, nw = 1651 141028.0027.ec.fits: ap = 59, w1 = 5162.736, w2 = 5053.869, dw = -0.06598, nw = 1651 141028.0027.ec.fits: ap = 60, w1 = 5116.648, w2 = 5008.755, dw = -0.06539, nw = 1651 141028.0027.ec.fits: ap = 61, w1 = 5071.376, w2 = 4964.439, dw = -0.06481, nw = 1651 141028.0027.ec.fits: ap = 62, w1 = 5026.897, w2 = 4920.901, dw = -0.06424, nw = 1651 141028.0027.ec.fits: ap = 63, w1 = 4983.193, w2 = 4878.12, dw = -0.06368, nw = 1651 141028.0027.ec.fits: ap = 64, w1 = 4940.242, w2 = 4836.076, dw = -0.06313, nw = 1651 141028.0027.ec.fits: ap = 65, w1 = 4898.025, w2 = 4794.752, dw = -0.06259, nw = 1651 141028.0027.ec.fits: ap = 66, w1 = 4856.524, w2 = 4754.128, dw = -0.06206, nw = 1651 141028.0027.ec.fits: ap = 67, w1 = 4815.721, w2 = 4714.186, dw = -0.06154, nw = 1651 141028.0027.ec.fits: ap = 68, w1 = 4775.597, w2 = 4674.911, dw = -0.06102, nw = 1651 141028.0027.ec.fits: ap = 69, w1 = 4736.137, w2 = 4636.285, dw = -0.06052, nw = 1651 141028.0027.ec.fits: ap = 70, w1 = 4697.324, w2 = 4598.292, dw = -0.06002, nw = 1651 141028.0027.ec.fits: ap = 71, w1 = 4659.141, w2 = 4560.917, dw = -0.05953, nw = 1651 141028.0027.ec.fits: ap = 72, w1 = 4621.575, w2 = 4524.144, dw = -0.05905, nw = 1651 141028.0027.ec.fits: ap = 73, w1 = 4584.61, w2 = 4487.961, dw = -0.05858, nw = 1651 141028.0027.ec.fits: ap = 74, w1 = 4548.231, w2 = 4452.351, dw = -0.05811, nw = 1651 141028.0027.ec.fits: ap = 75, w1 = 4512.425, w2 = 4417.303, dw = -0.05765, nw = 1651 141028.0027.ec.fits: ap = 76, w1 = 4477.179, w2 = 4382.802, dw = -0.0572, nw = 1651 141028.0027.ec.fits: ap = 77, w1 = 4442.48, w2 = 4348.836, dw = -0.05675, nw = 1651 141028.0027.ec.fits: ap = 78, w1 = 4408.314, w2 = 4315.393, dw = -0.05632, nw = 1651 141028.0027.ec.fits: ap = 79, w1 = 4374.67, w2 = 4282.461, dw = -0.05588, nw = 1651 141028.0027.ec.fits: ap = 80, w1 = 4341.535, w2 = 4250.027, dw = -0.05546, nw = 1651 141028.0027.ec.fits: ap = 81, w1 = 4308.899, w2 = 4218.081, dw = -0.05504, nw = 1651 141028.0027.ec.fits: ap = 82, w1 = 4276.75, w2 = 4186.613, dw = -0.05463, nw = 1651 141028.0027.ec.fits: ap = 83, w1 = 4245.077, w2 = 4155.61, dw = -0.05422, nw = 1651 141028.0027.ec.fits: ap = 84, w1 = 4213.87, w2 = 4125.064, dw = -0.05382, nw = 1651 141028.0027.ec.fits: ap = 85, w1 = 4183.118, w2 = 4094.963, dw = -0.05343, nw = 1651 141028.0027.ec.fits: ap = 86, w1 = 4152.812, w2 = 4065.299, dw = -0.05304, nw = 1651 141028.0027.ec.fits: ap = 87, w1 = 4122.943, w2 = 4036.062, dw = -0.05265, nw = 1651 141028.0027.ec.fits: ap = 88, w1 = 4093.499, w2 = 4007.243, dw = -0.05228, nw = 1651 141028.0027.ec.fits: ap = 89, w1 = 4064.474, w2 = 3978.832, dw = -0.0519, nw = 1651 141028.0027.ec.fits: ap = 90, w1 = 4035.857, w2 = 3950.822, dw = -0.05154, nw = 1651 141028.0027.ec.fits: ap = 91, w1 = 4007.64, w2 = 3923.203, dw = -0.05117, nw = 1651 141028.0027.ec.fits: ap = 92, w1 = 3979.815, w2 = 3895.969, dw = -0.05082, nw = 1651 141028.0027.ec.fits: ap = 93, w1 = 3952.374, w2 = 3869.11, dw = -0.05046, nw = 1651 141028.0027.ec.fits: ap = 94, w1 = 3925.309, w2 = 3842.619, dw = -0.05012, nw = 1651 141028.0027.ec.fits: ap = 95, w1 = 3898.612, w2 = 3816.488, dw = -0.04977, nw = 1651 141028.0027.ec.fits: ap = 96, w1 = 3872.276, w2 = 3790.711, dw = -0.04943, nw = 1651 141028.0027.ec.fits: ap = 97, w1 = 3846.293, w2 = 3765.28, dw = -0.0491, nw = 1651 141028.0027.ec.fits: ap = 98, w1 = 3820.656, w2 = 3740.188, dw = -0.04877, nw = 1651 141028.0027.ec.fits: ap = 99, w1 = 3795.359, w2 = 3715.428, dw = -0.04844, nw = 1651 141028.0027.ec.fits: ap = 100, w1 = 3770.395, w2 = 3690.995, dw = -0.04812, nw = 1651 141028.0027.ec.fits: ap = 101, w1 = 3745.757, w2 = 3666.881, dw = -0.0478, nw = 1651 141028.0027.ec.fits: ap = 102, w1 = 3721.439, w2 = 3643.08, dw = -0.04749, nw = 1651 141028.0027.ec.fits: ap = 103, w1 = 3697.434, w2 = 3619.586, dw = -0.04718, nw = 1651 141028.0027.ec.fits: ap = 104, w1 = 3673.738, w2 = 3596.394, dw = -0.04688, nw = 1651 141028.0027.ec.fits: ap = 105, w1 = 3650.343, w2 = 3573.497, dw = -0.04657, nw = 1651 141028.0027.ec.fits: ap = 106, w1 = 3627.244, w2 = 3550.89, dw = -0.04627, nw = 1651 141028.0027.ec.fits: ap = 107, w1 = 3604.435, w2 = 3528.568, dw = -0.04598, nw = 1651 141028.0027.ec.fits: ap = 108, w1 = 3581.911, w2 = 3506.525, dw = -0.04569, nw = 1651 141028.0027.ec.fits: ap = 109, w1 = 3559.667, w2 = 3484.755, dw = -0.0454, nw = 1651 141028.0027.ec.fits: ap = 110, w1 = 3537.698, w2 = 3463.255, dw = -0.04512, nw = 1651 141028.0027.ec.fits: ap = 111, w1 = 3515.998, w2 = 3442.019, dw = -0.04484, nw = 1651 141028.0027.ec.fits: ap = 112, w1 = 3494.562, w2 = 3421.041, dw = -0.04456, nw = 1651 141028.0027.ec.fits: ap = 113, w1 = 3473.387, w2 = 3400.318, dw = -0.04428, nw = 1651 141028.0027.ec.fits: ap = 114, w1 = 3452.466, w2 = 3379.845, dw = -0.04401, nw = 1651 141028.0027.ec.fits: ap = 115, w1 = 3431.795, w2 = 3359.617, dw = -0.04374, nw = 1651 141028.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.16634256' 141028.0028.ec.fits: REFSPEC2 = 'EchelleThAr.0029.ec 0.83365744' 141028.0028.ec.fits: ap = 1, w1 = 10811.67, w2 = 10583.49, dw = -0.13829, nw = 1651 141028.0028.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.52, dw = -0.13573, nw = 1651 141028.0028.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.67, dw = -0.13326, nw = 1651 141028.0028.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.56, dw = -0.13088, nw = 1651 141028.0028.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.85, dw = -0.12858, nw = 1651 141028.0028.ec.fits: ap = 6, w1 = 9879.698, w2 = 9671.195, dw = -0.12637, nw = 1651 141028.0028.ec.fits: ap = 7, w1 = 9712.259, w2 = 9507.291, dw = -0.12422, nw = 1651 141028.0028.ec.fits: ap = 8, w1 = 9550.401, w2 = 9348.851, dw = -0.12215, nw = 1651 141028.0028.ec.fits: ap = 9, w1 = 9393.849, w2 = 9195.605, dw = -0.12015, nw = 1651 141028.0028.ec.fits: ap = 10, w1 = 9242.348, w2 = 9047.303, dw = -0.11821, nw = 1651 141028.0028.ec.fits: ap = 11, w1 = 9095.656, w2 = 8903.709, dw = -0.11633, nw = 1651 141028.0028.ec.fits: ap = 12, w1 = 8953.548, w2 = 8764.602, dw = -0.11451, nw = 1651 141028.0028.ec.fits: ap = 13, w1 = 8815.812, w2 = 8629.775, dw = -0.11275, nw = 1651 141028.0028.ec.fits: ap = 14, w1 = 8682.25, w2 = 8499.034, dw = -0.11104, nw = 1651 141028.0028.ec.fits: ap = 15, w1 = 8552.675, w2 = 8372.196, dw = -0.10938, nw = 1651 141028.0028.ec.fits: ap = 16, w1 = 8426.912, w2 = 8249.089, dw = -0.10777, nw = 1651 141028.0028.ec.fits: ap = 17, w1 = 8304.793, w2 = 8129.549, dw = -0.10621, nw = 1651 141028.0028.ec.fits: ap = 18, w1 = 8186.163, w2 = 8013.425, dw = -0.10469, nw = 1651 141028.0028.ec.fits: ap = 19, w1 = 8070.876, w2 = 7900.573, dw = -0.10321, nw = 1651 141028.0028.ec.fits: ap = 20, w1 = 7958.79, w2 = 7790.855, dw = -0.10178, nw = 1651 141028.0028.ec.fits: ap = 21, w1 = 7849.775, w2 = 7684.143, dw = -0.10038, nw = 1651 141028.0028.ec.fits: ap = 22, w1 = 7743.707, w2 = 7580.315, dw = -0.09903, nw = 1651 141028.0028.ec.fits: ap = 23, w1 = 7640.467, w2 = 7479.256, dw = -0.0977, nw = 1651 141028.0028.ec.fits: ap = 24, w1 = 7539.944, w2 = 7380.857, dw = -0.09642, nw = 1651 141028.0028.ec.fits: ap = 25, w1 = 7442.032, w2 = 7285.013, dw = -0.09516, nw = 1651 141028.0028.ec.fits: ap = 26, w1 = 7346.631, w2 = 7191.627, dw = -0.09394, nw = 1651 141028.0028.ec.fits: ap = 27, w1 = 7253.645, w2 = 7100.605, dw = -0.09275, nw = 1651 141028.0028.ec.fits: ap = 28, w1 = 7162.983, w2 = 7011.859, dw = -0.09159, nw = 1651 141028.0028.ec.fits: ap = 29, w1 = 7074.561, w2 = 6925.304, dw = -0.09046, nw = 1651 141028.0028.ec.fits: ap = 30, w1 = 6988.294, w2 = 6840.86, dw = -0.08935, nw = 1651 141028.0028.ec.fits: ap = 31, w1 = 6904.107, w2 = 6758.451, dw = -0.08828, nw = 1651 141028.0028.ec.fits: ap = 32, w1 = 6821.924, w2 = 6678.005, dw = -0.08722, nw = 1651 141028.0028.ec.fits: ap = 33, w1 = 6741.675, w2 = 6599.451, dw = -0.0862, nw = 1651 141028.0028.ec.fits: ap = 34, w1 = 6663.292, w2 = 6522.724, dw = -0.08519, nw = 1651 141028.0028.ec.fits: ap = 35, w1 = 6586.711, w2 = 6447.761, dw = -0.08421, nw = 1651 141028.0028.ec.fits: ap = 36, w1 = 6511.871, w2 = 6374.501, dw = -0.08325, nw = 1651 141028.0028.ec.fits: ap = 37, w1 = 6438.712, w2 = 6302.888, dw = -0.08232, nw = 1651 141028.0028.ec.fits: ap = 38, w1 = 6367.179, w2 = 6232.866, dw = -0.0814, nw = 1651 141028.0028.ec.fits: ap = 39, w1 = 6297.219, w2 = 6164.384, dw = -0.08051, nw = 1651 141028.0028.ec.fits: ap = 40, w1 = 6228.779, w2 = 6097.39, dw = -0.07963, nw = 1651 141028.0028.ec.fits: ap = 41, w1 = 6161.811, w2 = 6031.837, dw = -0.07877, nw = 1651 141028.0028.ec.fits: ap = 42, w1 = 6096.268, w2 = 5967.679, dw = -0.07793, nw = 1651 141028.0028.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.871, dw = -0.07711, nw = 1651 141028.0028.ec.fits: ap = 44, w1 = 5969.279, w2 = 5843.372, dw = -0.07631, nw = 1651 141028.0028.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.141, dw = -0.07552, nw = 1651 141028.0028.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.139, dw = -0.07475, nw = 1651 141028.0028.ec.fits: ap = 47, w1 = 5788.416, w2 = 5666.33, dw = -0.07399, nw = 1651 141028.0028.ec.fits: ap = 48, w1 = 5730.54, w2 = 5609.676, dw = -0.07325, nw = 1651 141028.0028.ec.fits: ap = 49, w1 = 5673.81, w2 = 5554.145, dw = -0.07252, nw = 1651 141028.0028.ec.fits: ap = 50, w1 = 5618.193, w2 = 5499.702, dw = -0.07181, nw = 1651 141028.0028.ec.fits: ap = 51, w1 = 5563.655, w2 = 5446.317, dw = -0.07111, nw = 1651 141028.0028.ec.fits: ap = 52, w1 = 5510.166, w2 = 5393.958, dw = -0.07043, nw = 1651 141028.0028.ec.fits: ap = 53, w1 = 5457.697, w2 = 5342.596, dw = -0.06976, nw = 1651 141028.0028.ec.fits: ap = 54, w1 = 5406.217, w2 = 5292.204, dw = -0.0691, nw = 1651 141028.0028.ec.fits: ap = 55, w1 = 5355.699, w2 = 5242.754, dw = -0.06845, nw = 1651 141028.0028.ec.fits: ap = 56, w1 = 5306.117, w2 = 5194.219, dw = -0.06782, nw = 1651 141028.0028.ec.fits: ap = 57, w1 = 5257.445, w2 = 5146.576, dw = -0.06719, nw = 1651 141028.0028.ec.fits: ap = 58, w1 = 5209.658, w2 = 5099.798, dw = -0.06658, nw = 1651 141028.0028.ec.fits: ap = 59, w1 = 5162.732, w2 = 5053.863, dw = -0.06598, nw = 1651 141028.0028.ec.fits: ap = 60, w1 = 5116.644, w2 = 5008.749, dw = -0.06539, nw = 1651 141028.0028.ec.fits: ap = 61, w1 = 5071.371, w2 = 4964.433, dw = -0.06481, nw = 1651 141028.0028.ec.fits: ap = 62, w1 = 5026.893, w2 = 4920.895, dw = -0.06424, nw = 1651 141028.0028.ec.fits: ap = 63, w1 = 4983.189, w2 = 4878.114, dw = -0.06368, nw = 1651 141028.0028.ec.fits: ap = 64, w1 = 4940.238, w2 = 4836.071, dw = -0.06313, nw = 1651 141028.0028.ec.fits: ap = 65, w1 = 4898.021, w2 = 4794.746, dw = -0.06259, nw = 1651 141028.0028.ec.fits: ap = 66, w1 = 4856.52, w2 = 4754.122, dw = -0.06206, nw = 1651 141028.0028.ec.fits: ap = 67, w1 = 4815.716, w2 = 4714.181, dw = -0.06154, nw = 1651 141028.0028.ec.fits: ap = 68, w1 = 4775.592, w2 = 4674.905, dw = -0.06102, nw = 1651 141028.0028.ec.fits: ap = 69, w1 = 4736.132, w2 = 4636.279, dw = -0.06052, nw = 1651 141028.0028.ec.fits: ap = 70, w1 = 4697.318, w2 = 4598.286, dw = -0.06002, nw = 1651 141028.0028.ec.fits: ap = 71, w1 = 4659.136, w2 = 4560.911, dw = -0.05953, nw = 1651 141028.0028.ec.fits: ap = 72, w1 = 4621.569, w2 = 4524.139, dw = -0.05905, nw = 1651 141028.0028.ec.fits: ap = 73, w1 = 4584.604, w2 = 4487.955, dw = -0.05858, nw = 1651 141028.0028.ec.fits: ap = 74, w1 = 4548.225, w2 = 4452.345, dw = -0.05811, nw = 1651 141028.0028.ec.fits: ap = 75, w1 = 4512.419, w2 = 4417.297, dw = -0.05765, nw = 1651 141028.0028.ec.fits: ap = 76, w1 = 4477.172, w2 = 4382.796, dw = -0.0572, nw = 1651 141028.0028.ec.fits: ap = 77, w1 = 4442.472, w2 = 4348.83, dw = -0.05675, nw = 1651 141028.0028.ec.fits: ap = 78, w1 = 4408.306, w2 = 4315.387, dw = -0.05631, nw = 1651 141028.0028.ec.fits: ap = 79, w1 = 4374.661, w2 = 4282.454, dw = -0.05588, nw = 1651 141028.0028.ec.fits: ap = 80, w1 = 4341.526, w2 = 4250.021, dw = -0.05546, nw = 1651 141028.0028.ec.fits: ap = 81, w1 = 4308.89, w2 = 4218.075, dw = -0.05504, nw = 1651 141028.0028.ec.fits: ap = 82, w1 = 4276.74, w2 = 4186.606, dw = -0.05463, nw = 1651 141028.0028.ec.fits: ap = 83, w1 = 4245.067, w2 = 4155.604, dw = -0.05422, nw = 1651 141028.0028.ec.fits: ap = 84, w1 = 4213.859, w2 = 4125.058, dw = -0.05382, nw = 1651 141028.0028.ec.fits: ap = 85, w1 = 4183.107, w2 = 4094.957, dw = -0.05342, nw = 1651 141028.0028.ec.fits: ap = 86, w1 = 4152.8, w2 = 4065.293, dw = -0.05303, nw = 1651 141028.0028.ec.fits: ap = 87, w1 = 4122.93, w2 = 4036.056, dw = -0.05265, nw = 1651 141028.0028.ec.fits: ap = 88, w1 = 4093.486, w2 = 4007.236, dw = -0.05227, nw = 1651 141028.0028.ec.fits: ap = 89, w1 = 4064.46, w2 = 3978.826, dw = -0.0519, nw = 1651 141028.0028.ec.fits: ap = 90, w1 = 4035.842, w2 = 3950.815, dw = -0.05153, nw = 1651 141028.0028.ec.fits: ap = 91, w1 = 4007.625, w2 = 3923.197, dw = -0.05117, nw = 1651 141028.0028.ec.fits: ap = 92, w1 = 3979.799, w2 = 3895.962, dw = -0.05081, nw = 1651 141028.0028.ec.fits: ap = 93, w1 = 3952.357, w2 = 3869.103, dw = -0.05046, nw = 1651 141028.0028.ec.fits: ap = 94, w1 = 3925.291, w2 = 3842.612, dw = -0.05011, nw = 1651 141028.0028.ec.fits: ap = 95, w1 = 3898.593, w2 = 3816.481, dw = -0.04976, nw = 1651 141028.0028.ec.fits: ap = 96, w1 = 3872.256, w2 = 3790.704, dw = -0.04943, nw = 1651 141028.0028.ec.fits: ap = 97, w1 = 3846.272, w2 = 3765.273, dw = -0.04909, nw = 1651 141028.0028.ec.fits: ap = 98, w1 = 3820.635, w2 = 3740.181, dw = -0.04876, nw = 1651 141028.0028.ec.fits: ap = 99, w1 = 3795.337, w2 = 3715.421, dw = -0.04843, nw = 1651 141028.0028.ec.fits: ap = 100, w1 = 3770.371, w2 = 3690.988, dw = -0.04811, nw = 1651 141028.0028.ec.fits: ap = 101, w1 = 3745.732, w2 = 3666.873, dw = -0.04779, nw = 1651 141028.0028.ec.fits: ap = 102, w1 = 3721.413, w2 = 3643.073, dw = -0.04748, nw = 1651 141028.0028.ec.fits: ap = 103, w1 = 3697.407, w2 = 3619.579, dw = -0.04717, nw = 1651 141028.0028.ec.fits: ap = 104, w1 = 3673.709, w2 = 3596.386, dw = -0.04686, nw = 1651 141028.0028.ec.fits: ap = 105, w1 = 3650.313, w2 = 3573.49, dw = -0.04656, nw = 1651 141028.0028.ec.fits: ap = 106, w1 = 3627.213, w2 = 3550.883, dw = -0.04626, nw = 1651 141028.0028.ec.fits: ap = 107, w1 = 3604.403, w2 = 3528.56, dw = -0.04597, nw = 1651 141028.0028.ec.fits: ap = 108, w1 = 3581.878, w2 = 3506.517, dw = -0.04567, nw = 1651 141028.0028.ec.fits: ap = 109, w1 = 3559.632, w2 = 3484.748, dw = -0.04538, nw = 1651 141028.0028.ec.fits: ap = 110, w1 = 3537.662, w2 = 3463.247, dw = -0.0451, nw = 1651 141028.0028.ec.fits: ap = 111, w1 = 3515.96, w2 = 3442.011, dw = -0.04482, nw = 1651 141028.0028.ec.fits: ap = 112, w1 = 3494.523, w2 = 3421.033, dw = -0.04454, nw = 1651 141028.0028.ec.fits: ap = 113, w1 = 3473.346, w2 = 3400.31, dw = -0.04426, nw = 1651 141028.0028.ec.fits: ap = 114, w1 = 3452.423, w2 = 3379.837, dw = -0.04399, nw = 1651 141028.0028.ec.fits: ap = 115, w1 = 3431.751, w2 = 3359.609, dw = -0.04372, nw = 1651 141028.0030.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.74208188' 141028.0030.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.25791812' 141028.0030.ec.fits: ap = 1, w1 = 10811.67, w2 = 10583.48, dw = -0.1383, nw = 1651 141028.0030.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.5, dw = -0.13574, nw = 1651 141028.0030.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.65, dw = -0.13327, nw = 1651 141028.0030.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.55, dw = -0.13089, nw = 1651 141028.0030.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.838, dw = -0.12859, nw = 1651 141028.0030.ec.fits: ap = 6, w1 = 9879.696, w2 = 9671.184, dw = -0.12637, nw = 1651 141028.0030.ec.fits: ap = 7, w1 = 9712.255, w2 = 9507.28, dw = -0.12423, nw = 1651 141028.0030.ec.fits: ap = 8, w1 = 9550.396, w2 = 9348.84, dw = -0.12215, nw = 1651 141028.0030.ec.fits: ap = 9, w1 = 9393.844, w2 = 9195.595, dw = -0.12015, nw = 1651 141028.0030.ec.fits: ap = 10, w1 = 9242.342, w2 = 9047.293, dw = -0.11821, nw = 1651 141028.0030.ec.fits: ap = 11, w1 = 9095.649, w2 = 8903.699, dw = -0.11633, nw = 1651 141028.0030.ec.fits: ap = 12, w1 = 8953.541, w2 = 8764.593, dw = -0.11451, nw = 1651 141028.0030.ec.fits: ap = 13, w1 = 8815.805, w2 = 8629.766, dw = -0.11275, nw = 1651 141028.0030.ec.fits: ap = 14, w1 = 8682.243, w2 = 8499.026, dw = -0.11104, nw = 1651 141028.0030.ec.fits: ap = 15, w1 = 8552.667, w2 = 8372.188, dw = -0.10938, nw = 1651 141028.0030.ec.fits: ap = 16, w1 = 8426.903, w2 = 8249.08, dw = -0.10777, nw = 1651 141028.0030.ec.fits: ap = 17, w1 = 8304.784, w2 = 8129.541, dw = -0.10621, nw = 1651 141028.0030.ec.fits: ap = 18, w1 = 8186.155, w2 = 8013.417, dw = -0.10469, nw = 1651 141028.0030.ec.fits: ap = 19, w1 = 8070.867, w2 = 7900.564, dw = -0.10321, nw = 1651 141028.0030.ec.fits: ap = 20, w1 = 7958.781, w2 = 7790.847, dw = -0.10178, nw = 1651 141028.0030.ec.fits: ap = 21, w1 = 7849.766, w2 = 7684.135, dw = -0.10038, nw = 1651 141028.0030.ec.fits: ap = 22, w1 = 7743.698, w2 = 7580.307, dw = -0.09902, nw = 1651 141028.0030.ec.fits: ap = 23, w1 = 7640.458, w2 = 7479.248, dw = -0.0977, nw = 1651 141028.0030.ec.fits: ap = 24, w1 = 7539.935, w2 = 7380.848, dw = -0.09642, nw = 1651 141028.0030.ec.fits: ap = 25, w1 = 7442.023, w2 = 7285.005, dw = -0.09516, nw = 1651 141028.0030.ec.fits: ap = 26, w1 = 7346.622, w2 = 7191.619, dw = -0.09394, nw = 1651 141028.0030.ec.fits: ap = 27, w1 = 7253.636, w2 = 7100.597, dw = -0.09275, nw = 1651 141028.0030.ec.fits: ap = 28, w1 = 7162.975, w2 = 7011.851, dw = -0.09159, nw = 1651 141028.0030.ec.fits: ap = 29, w1 = 7074.553, w2 = 6925.296, dw = -0.09046, nw = 1651 141028.0030.ec.fits: ap = 30, w1 = 6988.287, w2 = 6840.852, dw = -0.08935, nw = 1651 141028.0030.ec.fits: ap = 31, w1 = 6904.099, w2 = 6758.444, dw = -0.08828, nw = 1651 141028.0030.ec.fits: ap = 32, w1 = 6821.917, w2 = 6677.997, dw = -0.08722, nw = 1651 141028.0030.ec.fits: ap = 33, w1 = 6741.668, w2 = 6599.443, dw = -0.0862, nw = 1651 141028.0030.ec.fits: ap = 34, w1 = 6663.285, w2 = 6522.716, dw = -0.08519, nw = 1651 141028.0030.ec.fits: ap = 35, w1 = 6586.704, w2 = 6447.753, dw = -0.08421, nw = 1651 141028.0030.ec.fits: ap = 36, w1 = 6511.864, w2 = 6374.493, dw = -0.08325, nw = 1651 141028.0030.ec.fits: ap = 37, w1 = 6438.706, w2 = 6302.88, dw = -0.08232, nw = 1651 141028.0030.ec.fits: ap = 38, w1 = 6367.173, w2 = 6232.859, dw = -0.0814, nw = 1651 141028.0030.ec.fits: ap = 39, w1 = 6297.213, w2 = 6164.376, dw = -0.08051, nw = 1651 141028.0030.ec.fits: ap = 40, w1 = 6228.773, w2 = 6097.382, dw = -0.07963, nw = 1651 141028.0030.ec.fits: ap = 41, w1 = 6161.806, w2 = 6031.829, dw = -0.07877, nw = 1651 141028.0030.ec.fits: ap = 42, w1 = 6096.263, w2 = 5967.671, dw = -0.07793, nw = 1651 141028.0030.ec.fits: ap = 43, w1 = 6032.1, w2 = 5904.863, dw = -0.07711, nw = 1651 141028.0030.ec.fits: ap = 44, w1 = 5969.274, w2 = 5843.364, dw = -0.07631, nw = 1651 141028.0030.ec.fits: ap = 45, w1 = 5907.743, w2 = 5783.133, dw = -0.07552, nw = 1651 141028.0030.ec.fits: ap = 46, w1 = 5847.469, w2 = 5724.132, dw = -0.07475, nw = 1651 141028.0030.ec.fits: ap = 47, w1 = 5788.411, w2 = 5666.322, dw = -0.07399, nw = 1651 141028.0030.ec.fits: ap = 48, w1 = 5730.535, w2 = 5609.669, dw = -0.07325, nw = 1651 141028.0030.ec.fits: ap = 49, w1 = 5673.806, w2 = 5554.137, dw = -0.07253, nw = 1651 141028.0030.ec.fits: ap = 50, w1 = 5618.188, w2 = 5499.695, dw = -0.07181, nw = 1651 141028.0030.ec.fits: ap = 51, w1 = 5563.651, w2 = 5446.309, dw = -0.07112, nw = 1651 141028.0030.ec.fits: ap = 52, w1 = 5510.162, w2 = 5393.951, dw = -0.07043, nw = 1651 141028.0030.ec.fits: ap = 53, w1 = 5457.692, w2 = 5342.589, dw = -0.06976, nw = 1651 141028.0030.ec.fits: ap = 54, w1 = 5406.213, w2 = 5292.197, dw = -0.0691, nw = 1651 141028.0030.ec.fits: ap = 55, w1 = 5355.695, w2 = 5242.747, dw = -0.06845, nw = 1651 141028.0030.ec.fits: ap = 56, w1 = 5306.113, w2 = 5194.213, dw = -0.06782, nw = 1651 141028.0030.ec.fits: ap = 57, w1 = 5257.441, w2 = 5146.569, dw = -0.0672, nw = 1651 141028.0030.ec.fits: ap = 58, w1 = 5209.654, w2 = 5099.792, dw = -0.06658, nw = 1651 141028.0030.ec.fits: ap = 59, w1 = 5162.728, w2 = 5053.857, dw = -0.06598, nw = 1651 141028.0030.ec.fits: ap = 60, w1 = 5116.64, w2 = 5008.743, dw = -0.06539, nw = 1651 141028.0030.ec.fits: ap = 61, w1 = 5071.367, w2 = 4964.427, dw = -0.06481, nw = 1651 141028.0030.ec.fits: ap = 62, w1 = 5026.889, w2 = 4920.889, dw = -0.06424, nw = 1651 141028.0030.ec.fits: ap = 63, w1 = 4983.185, w2 = 4878.108, dw = -0.06368, nw = 1651 141028.0030.ec.fits: ap = 64, w1 = 4940.234, w2 = 4836.065, dw = -0.06313, nw = 1651 141028.0030.ec.fits: ap = 65, w1 = 4898.017, w2 = 4794.741, dw = -0.06259, nw = 1651 141028.0030.ec.fits: ap = 66, w1 = 4856.516, w2 = 4754.117, dw = -0.06206, nw = 1651 141028.0030.ec.fits: ap = 67, w1 = 4815.712, w2 = 4714.176, dw = -0.06154, nw = 1651 141028.0030.ec.fits: ap = 68, w1 = 4775.588, w2 = 4674.9, dw = -0.06102, nw = 1651 141028.0030.ec.fits: ap = 69, w1 = 4736.128, w2 = 4636.274, dw = -0.06052, nw = 1651 141028.0030.ec.fits: ap = 70, w1 = 4697.314, w2 = 4598.281, dw = -0.06002, nw = 1651 141028.0030.ec.fits: ap = 71, w1 = 4659.132, w2 = 4560.906, dw = -0.05953, nw = 1651 141028.0030.ec.fits: ap = 72, w1 = 4621.565, w2 = 4524.134, dw = -0.05905, nw = 1651 141028.0030.ec.fits: ap = 73, w1 = 4584.599, w2 = 4487.95, dw = -0.05858, nw = 1651 141028.0030.ec.fits: ap = 74, w1 = 4548.22, w2 = 4452.341, dw = -0.05811, nw = 1651 141028.0030.ec.fits: ap = 75, w1 = 4512.415, w2 = 4417.293, dw = -0.05765, nw = 1651 141028.0030.ec.fits: ap = 76, w1 = 4477.168, w2 = 4382.793, dw = -0.0572, nw = 1651 141028.0030.ec.fits: ap = 77, w1 = 4442.469, w2 = 4348.827, dw = -0.05675, nw = 1651 141028.0030.ec.fits: ap = 78, w1 = 4408.303, w2 = 4315.384, dw = -0.05631, nw = 1651 141028.0030.ec.fits: ap = 79, w1 = 4374.658, w2 = 4282.452, dw = -0.05588, nw = 1651 141028.0030.ec.fits: ap = 80, w1 = 4341.524, w2 = 4250.019, dw = -0.05546, nw = 1651 141028.0030.ec.fits: ap = 81, w1 = 4308.886, w2 = 4218.073, dw = -0.05504, nw = 1651 141028.0030.ec.fits: ap = 82, w1 = 4276.737, w2 = 4186.604, dw = -0.05463, nw = 1651 141028.0030.ec.fits: ap = 83, w1 = 4245.063, w2 = 4155.602, dw = -0.05422, nw = 1651 141028.0030.ec.fits: ap = 84, w1 = 4213.856, w2 = 4125.056, dw = -0.05382, nw = 1651 141028.0030.ec.fits: ap = 85, w1 = 4183.104, w2 = 4094.955, dw = -0.05342, nw = 1651 141028.0030.ec.fits: ap = 86, w1 = 4152.798, w2 = 4065.292, dw = -0.05303, nw = 1651 141028.0030.ec.fits: ap = 87, w1 = 4122.927, w2 = 4036.054, dw = -0.05265, nw = 1651 141028.0030.ec.fits: ap = 88, w1 = 4093.484, w2 = 4007.235, dw = -0.05227, nw = 1651 141028.0030.ec.fits: ap = 89, w1 = 4064.458, w2 = 3978.825, dw = -0.0519, nw = 1651 141028.0030.ec.fits: ap = 90, w1 = 4035.84, w2 = 3950.815, dw = -0.05153, nw = 1651 141028.0030.ec.fits: ap = 91, w1 = 4007.623, w2 = 3923.196, dw = -0.05117, nw = 1651 141028.0030.ec.fits: ap = 92, w1 = 3979.798, w2 = 3895.962, dw = -0.05081, nw = 1651 141028.0030.ec.fits: ap = 93, w1 = 3952.356, w2 = 3869.103, dw = -0.05046, nw = 1651 141028.0030.ec.fits: ap = 94, w1 = 3925.291, w2 = 3842.612, dw = -0.05011, nw = 1651 141028.0030.ec.fits: ap = 95, w1 = 3898.593, w2 = 3816.482, dw = -0.04976, nw = 1651 141028.0030.ec.fits: ap = 96, w1 = 3872.256, w2 = 3790.704, dw = -0.04943, nw = 1651 141028.0030.ec.fits: ap = 97, w1 = 3846.273, w2 = 3765.273, dw = -0.04909, nw = 1651 141028.0030.ec.fits: ap = 98, w1 = 3820.636, w2 = 3740.182, dw = -0.04876, nw = 1651 141028.0030.ec.fits: ap = 99, w1 = 3795.338, w2 = 3715.422, dw = -0.04843, nw = 1651 141028.0030.ec.fits: ap = 100, w1 = 3770.374, w2 = 3690.989, dw = -0.04811, nw = 1651 141028.0030.ec.fits: ap = 101, w1 = 3745.735, w2 = 3666.875, dw = -0.04779, nw = 1651 141028.0030.ec.fits: ap = 102, w1 = 3721.416, w2 = 3643.074, dw = -0.04748, nw = 1651 141028.0030.ec.fits: ap = 103, w1 = 3697.411, w2 = 3619.58, dw = -0.04717, nw = 1651 141028.0030.ec.fits: ap = 104, w1 = 3673.714, w2 = 3596.388, dw = -0.04686, nw = 1651 141028.0030.ec.fits: ap = 105, w1 = 3650.319, w2 = 3573.491, dw = -0.04656, nw = 1651 141028.0030.ec.fits: ap = 106, w1 = 3627.219, w2 = 3550.884, dw = -0.04626, nw = 1651 141028.0030.ec.fits: ap = 107, w1 = 3604.41, w2 = 3528.562, dw = -0.04597, nw = 1651 141028.0030.ec.fits: ap = 108, w1 = 3581.886, w2 = 3506.519, dw = -0.04568, nw = 1651 141028.0030.ec.fits: ap = 109, w1 = 3559.642, w2 = 3484.75, dw = -0.04539, nw = 1651 141028.0030.ec.fits: ap = 110, w1 = 3537.672, w2 = 3463.249, dw = -0.0451, nw = 1651 141028.0030.ec.fits: ap = 111, w1 = 3515.971, w2 = 3442.013, dw = -0.04482, nw = 1651 141028.0030.ec.fits: ap = 112, w1 = 3494.535, w2 = 3421.035, dw = -0.04455, nw = 1651 141028.0030.ec.fits: ap = 113, w1 = 3473.359, w2 = 3400.312, dw = -0.04427, nw = 1651 141028.0030.ec.fits: ap = 114, w1 = 3452.438, w2 = 3379.839, dw = -0.044, nw = 1651 141028.0030.ec.fits: ap = 115, w1 = 3431.767, w2 = 3359.611, dw = -0.04373, nw = 1651 141028.0031.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 0.31089747' 141028.0031.ec.fits: REFSPEC2 = 'EchelleThAr.0032.ec 0.68910253' 141028.0031.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.47, dw = -0.13831, nw = 1651 141028.0031.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.5, dw = -0.13575, nw = 1651 141028.0031.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.65, dw = -0.13328, nw = 1651 141028.0031.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.55, dw = -0.13089, nw = 1651 141028.0031.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.835, dw = -0.12859, nw = 1651 141028.0031.ec.fits: ap = 6, w1 = 9879.698, w2 = 9671.181, dw = -0.12637, nw = 1651 141028.0031.ec.fits: ap = 7, w1 = 9712.257, w2 = 9507.278, dw = -0.12423, nw = 1651 141028.0031.ec.fits: ap = 8, w1 = 9550.396, w2 = 9348.838, dw = -0.12216, nw = 1651 141028.0031.ec.fits: ap = 9, w1 = 9393.843, w2 = 9195.593, dw = -0.12015, nw = 1651 141028.0031.ec.fits: ap = 10, w1 = 9242.34, w2 = 9047.292, dw = -0.11821, nw = 1651 141028.0031.ec.fits: ap = 11, w1 = 9095.647, w2 = 8903.698, dw = -0.11633, nw = 1651 141028.0031.ec.fits: ap = 12, w1 = 8953.538, w2 = 8764.591, dw = -0.11451, nw = 1651 141028.0031.ec.fits: ap = 13, w1 = 8815.802, w2 = 8629.765, dw = -0.11275, nw = 1651 141028.0031.ec.fits: ap = 14, w1 = 8682.239, w2 = 8499.024, dw = -0.11104, nw = 1651 141028.0031.ec.fits: ap = 15, w1 = 8552.664, w2 = 8372.186, dw = -0.10938, nw = 1651 141028.0031.ec.fits: ap = 16, w1 = 8426.899, w2 = 8249.079, dw = -0.10777, nw = 1651 141028.0031.ec.fits: ap = 17, w1 = 8304.78, w2 = 8129.54, dw = -0.10621, nw = 1651 141028.0031.ec.fits: ap = 18, w1 = 8186.15, w2 = 8013.416, dw = -0.10469, nw = 1651 141028.0031.ec.fits: ap = 19, w1 = 8070.862, w2 = 7900.563, dw = -0.10321, nw = 1651 141028.0031.ec.fits: ap = 20, w1 = 7958.777, w2 = 7790.845, dw = -0.10178, nw = 1651 141028.0031.ec.fits: ap = 21, w1 = 7849.762, w2 = 7684.133, dw = -0.10038, nw = 1651 141028.0031.ec.fits: ap = 22, w1 = 7743.694, w2 = 7580.305, dw = -0.09902, nw = 1651 141028.0031.ec.fits: ap = 23, w1 = 7640.454, w2 = 7479.246, dw = -0.0977, nw = 1651 141028.0031.ec.fits: ap = 24, w1 = 7539.931, w2 = 7380.846, dw = -0.09642, nw = 1651 141028.0031.ec.fits: ap = 25, w1 = 7442.02, w2 = 7285.002, dw = -0.09516, nw = 1651 141028.0031.ec.fits: ap = 26, w1 = 7346.618, w2 = 7191.616, dw = -0.09394, nw = 1651 141028.0031.ec.fits: ap = 27, w1 = 7253.633, w2 = 7100.594, dw = -0.09275, nw = 1651 141028.0031.ec.fits: ap = 28, w1 = 7162.972, w2 = 7011.848, dw = -0.09159, nw = 1651 141028.0031.ec.fits: ap = 29, w1 = 7074.549, w2 = 6925.293, dw = -0.09046, nw = 1651 141028.0031.ec.fits: ap = 30, w1 = 6988.283, w2 = 6840.849, dw = -0.08935, nw = 1651 141028.0031.ec.fits: ap = 31, w1 = 6904.096, w2 = 6758.44, dw = -0.08828, nw = 1651 141028.0031.ec.fits: ap = 32, w1 = 6821.913, w2 = 6677.993, dw = -0.08722, nw = 1651 141028.0031.ec.fits: ap = 33, w1 = 6741.665, w2 = 6599.439, dw = -0.0862, nw = 1651 141028.0031.ec.fits: ap = 34, w1 = 6663.282, w2 = 6522.711, dw = -0.08519, nw = 1651 141028.0031.ec.fits: ap = 35, w1 = 6586.701, w2 = 6447.748, dw = -0.08421, nw = 1651 141028.0031.ec.fits: ap = 36, w1 = 6511.861, w2 = 6374.489, dw = -0.08326, nw = 1651 141028.0031.ec.fits: ap = 37, w1 = 6438.703, w2 = 6302.875, dw = -0.08232, nw = 1651 141028.0031.ec.fits: ap = 38, w1 = 6367.171, w2 = 6232.854, dw = -0.0814, nw = 1651 141028.0031.ec.fits: ap = 39, w1 = 6297.21, w2 = 6164.371, dw = -0.08051, nw = 1651 141028.0031.ec.fits: ap = 40, w1 = 6228.771, w2 = 6097.377, dw = -0.07963, nw = 1651 141028.0031.ec.fits: ap = 41, w1 = 6161.803, w2 = 6031.824, dw = -0.07878, nw = 1651 141028.0031.ec.fits: ap = 42, w1 = 6096.261, w2 = 5967.666, dw = -0.07794, nw = 1651 141028.0031.ec.fits: ap = 43, w1 = 6032.098, w2 = 5904.858, dw = -0.07712, nw = 1651 141028.0031.ec.fits: ap = 44, w1 = 5969.272, w2 = 5843.359, dw = -0.07631, nw = 1651 141028.0031.ec.fits: ap = 45, w1 = 5907.741, w2 = 5783.128, dw = -0.07552, nw = 1651 141028.0031.ec.fits: ap = 46, w1 = 5847.467, w2 = 5724.126, dw = -0.07475, nw = 1651 141028.0031.ec.fits: ap = 47, w1 = 5788.409, w2 = 5666.317, dw = -0.074, nw = 1651 141028.0031.ec.fits: ap = 48, w1 = 5730.533, w2 = 5609.663, dw = -0.07325, nw = 1651 141028.0031.ec.fits: ap = 49, w1 = 5673.804, w2 = 5554.132, dw = -0.07253, nw = 1651 141028.0031.ec.fits: ap = 50, w1 = 5618.186, w2 = 5499.69, dw = -0.07182, nw = 1651 141028.0031.ec.fits: ap = 51, w1 = 5563.649, w2 = 5446.304, dw = -0.07112, nw = 1651 141028.0031.ec.fits: ap = 52, w1 = 5510.16, w2 = 5393.946, dw = -0.07043, nw = 1651 141028.0031.ec.fits: ap = 53, w1 = 5457.69, w2 = 5342.585, dw = -0.06976, nw = 1651 141028.0031.ec.fits: ap = 54, w1 = 5406.211, w2 = 5292.193, dw = -0.0691, nw = 1651 141028.0031.ec.fits: ap = 55, w1 = 5355.693, w2 = 5242.743, dw = -0.06845, nw = 1651 141028.0031.ec.fits: ap = 56, w1 = 5306.111, w2 = 5194.208, dw = -0.06782, nw = 1651 141028.0031.ec.fits: ap = 57, w1 = 5257.439, w2 = 5146.565, dw = -0.0672, nw = 1651 141028.0031.ec.fits: ap = 58, w1 = 5209.652, w2 = 5099.787, dw = -0.06658, nw = 1651 141028.0031.ec.fits: ap = 59, w1 = 5162.726, w2 = 5053.853, dw = -0.06598, nw = 1651 141028.0031.ec.fits: ap = 60, w1 = 5116.638, w2 = 5008.739, dw = -0.06539, nw = 1651 141028.0031.ec.fits: ap = 61, w1 = 5071.366, w2 = 4964.424, dw = -0.06481, nw = 1651 141028.0031.ec.fits: ap = 62, w1 = 5026.888, w2 = 4920.886, dw = -0.06424, nw = 1651 141028.0031.ec.fits: ap = 63, w1 = 4983.183, w2 = 4878.105, dw = -0.06368, nw = 1651 141028.0031.ec.fits: ap = 64, w1 = 4940.232, w2 = 4836.062, dw = -0.06313, nw = 1651 141028.0031.ec.fits: ap = 65, w1 = 4898.016, w2 = 4794.738, dw = -0.06259, nw = 1651 141028.0031.ec.fits: ap = 66, w1 = 4856.514, w2 = 4754.115, dw = -0.06206, nw = 1651 141028.0031.ec.fits: ap = 67, w1 = 4815.711, w2 = 4714.174, dw = -0.06154, nw = 1651 141028.0031.ec.fits: ap = 68, w1 = 4775.587, w2 = 4674.899, dw = -0.06102, nw = 1651 141028.0031.ec.fits: ap = 69, w1 = 4736.127, w2 = 4636.273, dw = -0.06052, nw = 1651 141028.0031.ec.fits: ap = 70, w1 = 4697.314, w2 = 4598.281, dw = -0.06002, nw = 1651 141028.0031.ec.fits: ap = 71, w1 = 4659.132, w2 = 4560.906, dw = -0.05953, nw = 1651 141028.0031.ec.fits: ap = 72, w1 = 4621.565, w2 = 4524.134, dw = -0.05905, nw = 1651 141028.0031.ec.fits: ap = 73, w1 = 4584.6, w2 = 4487.951, dw = -0.05858, nw = 1651 141028.0031.ec.fits: ap = 74, w1 = 4548.222, w2 = 4452.342, dw = -0.05811, nw = 1651 141028.0031.ec.fits: ap = 75, w1 = 4512.416, w2 = 4417.294, dw = -0.05765, nw = 1651 141028.0031.ec.fits: ap = 76, w1 = 4477.17, w2 = 4382.794, dw = -0.0572, nw = 1651 141028.0031.ec.fits: ap = 77, w1 = 4442.471, w2 = 4348.829, dw = -0.05675, nw = 1651 141028.0031.ec.fits: ap = 78, w1 = 4408.305, w2 = 4315.386, dw = -0.05631, nw = 1651 141028.0031.ec.fits: ap = 79, w1 = 4374.661, w2 = 4282.454, dw = -0.05588, nw = 1651 141028.0031.ec.fits: ap = 80, w1 = 4341.527, w2 = 4250.022, dw = -0.05546, nw = 1651 141028.0031.ec.fits: ap = 81, w1 = 4308.891, w2 = 4218.076, dw = -0.05504, nw = 1651 141028.0031.ec.fits: ap = 82, w1 = 4276.742, w2 = 4186.608, dw = -0.05463, nw = 1651 141028.0031.ec.fits: ap = 83, w1 = 4245.07, w2 = 4155.606, dw = -0.05422, nw = 1651 141028.0031.ec.fits: ap = 84, w1 = 4213.863, w2 = 4125.06, dw = -0.05382, nw = 1651 141028.0031.ec.fits: ap = 85, w1 = 4183.112, w2 = 4094.96, dw = -0.05343, nw = 1651 141028.0031.ec.fits: ap = 86, w1 = 4152.807, w2 = 4065.297, dw = -0.05304, nw = 1651 141028.0031.ec.fits: ap = 87, w1 = 4122.937, w2 = 4036.06, dw = -0.05265, nw = 1651 141028.0031.ec.fits: ap = 88, w1 = 4093.495, w2 = 4007.241, dw = -0.05228, nw = 1651 141028.0031.ec.fits: ap = 89, w1 = 4064.47, w2 = 3978.831, dw = -0.0519, nw = 1651 141028.0031.ec.fits: ap = 90, w1 = 4035.854, w2 = 3950.821, dw = -0.05153, nw = 1651 141028.0031.ec.fits: ap = 91, w1 = 4007.638, w2 = 3923.203, dw = -0.05117, nw = 1651 141028.0031.ec.fits: ap = 92, w1 = 3979.814, w2 = 3895.969, dw = -0.05082, nw = 1651 141028.0031.ec.fits: ap = 93, w1 = 3952.374, w2 = 3869.11, dw = -0.05046, nw = 1651 141028.0031.ec.fits: ap = 94, w1 = 3925.31, w2 = 3842.62, dw = -0.05012, nw = 1651 141028.0031.ec.fits: ap = 95, w1 = 3898.614, w2 = 3816.49, dw = -0.04977, nw = 1651 141028.0031.ec.fits: ap = 96, w1 = 3872.279, w2 = 3790.713, dw = -0.04943, nw = 1651 141028.0031.ec.fits: ap = 97, w1 = 3846.298, w2 = 3765.282, dw = -0.0491, nw = 1651 141028.0031.ec.fits: ap = 98, w1 = 3820.663, w2 = 3740.191, dw = -0.04877, nw = 1651 141028.0031.ec.fits: ap = 99, w1 = 3795.367, w2 = 3715.432, dw = -0.04845, nw = 1651 141028.0031.ec.fits: ap = 100, w1 = 3770.405, w2 = 3690.998, dw = -0.04812, nw = 1651 141028.0031.ec.fits: ap = 101, w1 = 3745.768, w2 = 3666.885, dw = -0.04781, nw = 1651 141028.0031.ec.fits: ap = 102, w1 = 3721.452, w2 = 3643.084, dw = -0.0475, nw = 1651 141028.0031.ec.fits: ap = 103, w1 = 3697.45, w2 = 3619.591, dw = -0.04719, nw = 1651 141028.0031.ec.fits: ap = 104, w1 = 3673.755, w2 = 3596.399, dw = -0.04688, nw = 1651 141028.0031.ec.fits: ap = 105, w1 = 3650.362, w2 = 3573.502, dw = -0.04658, nw = 1651 141028.0031.ec.fits: ap = 106, w1 = 3627.265, w2 = 3550.896, dw = -0.04628, nw = 1651 141028.0031.ec.fits: ap = 107, w1 = 3604.459, w2 = 3528.573, dw = -0.04599, nw = 1651 141028.0031.ec.fits: ap = 108, w1 = 3581.938, w2 = 3506.53, dw = -0.0457, nw = 1651 141028.0031.ec.fits: ap = 109, w1 = 3559.697, w2 = 3484.761, dw = -0.04542, nw = 1651 141028.0031.ec.fits: ap = 110, w1 = 3537.73, w2 = 3463.261, dw = -0.04513, nw = 1651 141028.0031.ec.fits: ap = 111, w1 = 3516.033, w2 = 3442.024, dw = -0.04485, nw = 1651 141028.0031.ec.fits: ap = 112, w1 = 3494.601, w2 = 3421.047, dw = -0.04458, nw = 1651 141028.0031.ec.fits: ap = 113, w1 = 3473.428, w2 = 3400.324, dw = -0.04431, nw = 1651 141028.0031.ec.fits: ap = 114, w1 = 3452.511, w2 = 3379.851, dw = -0.04404, nw = 1651 141028.0031.ec.fits: ap = 115, w1 = 3431.844, w2 = 3359.623, dw = -0.04377, nw = 1651 141028.0033.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.8113898' 141028.0033.ec.fits: REFSPEC2 = 'EchelleThAr.0036.ec 0.18861018' 141028.0033.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.46, dw = -0.13831, nw = 1651 141028.0033.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.49, dw = -0.13575, nw = 1651 141028.0033.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.65, dw = -0.13327, nw = 1651 141028.0033.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.55, dw = -0.13089, nw = 1651 141028.0033.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.833, dw = -0.12859, nw = 1651 141028.0033.ec.fits: ap = 6, w1 = 9879.694, w2 = 9671.18, dw = -0.12637, nw = 1651 141028.0033.ec.fits: ap = 7, w1 = 9712.254, w2 = 9507.278, dw = -0.12423, nw = 1651 141028.0033.ec.fits: ap = 8, w1 = 9550.394, w2 = 9348.839, dw = -0.12215, nw = 1651 141028.0033.ec.fits: ap = 9, w1 = 9393.842, w2 = 9195.595, dw = -0.12015, nw = 1651 141028.0033.ec.fits: ap = 10, w1 = 9242.34, w2 = 9047.293, dw = -0.11821, nw = 1651 141028.0033.ec.fits: ap = 11, w1 = 9095.647, w2 = 8903.7, dw = -0.11633, nw = 1651 141028.0033.ec.fits: ap = 12, w1 = 8953.538, w2 = 8764.594, dw = -0.11451, nw = 1651 141028.0033.ec.fits: ap = 13, w1 = 8815.802, w2 = 8629.768, dw = -0.11275, nw = 1651 141028.0033.ec.fits: ap = 14, w1 = 8682.24, w2 = 8499.027, dw = -0.11104, nw = 1651 141028.0033.ec.fits: ap = 15, w1 = 8552.665, w2 = 8372.189, dw = -0.10938, nw = 1651 141028.0033.ec.fits: ap = 16, w1 = 8426.901, w2 = 8249.082, dw = -0.10777, nw = 1651 141028.0033.ec.fits: ap = 17, w1 = 8304.782, w2 = 8129.543, dw = -0.10621, nw = 1651 141028.0033.ec.fits: ap = 18, w1 = 8186.152, w2 = 8013.419, dw = -0.10469, nw = 1651 141028.0033.ec.fits: ap = 19, w1 = 8070.864, w2 = 7900.566, dw = -0.10321, nw = 1651 141028.0033.ec.fits: ap = 20, w1 = 7958.779, w2 = 7790.848, dw = -0.10178, nw = 1651 141028.0033.ec.fits: ap = 21, w1 = 7849.764, w2 = 7684.136, dw = -0.10038, nw = 1651 141028.0033.ec.fits: ap = 22, w1 = 7743.696, w2 = 7580.308, dw = -0.09902, nw = 1651 141028.0033.ec.fits: ap = 23, w1 = 7640.456, w2 = 7479.248, dw = -0.0977, nw = 1651 141028.0033.ec.fits: ap = 24, w1 = 7539.933, w2 = 7380.848, dw = -0.09641, nw = 1651 141028.0033.ec.fits: ap = 25, w1 = 7442.021, w2 = 7285.004, dw = -0.09516, nw = 1651 141028.0033.ec.fits: ap = 26, w1 = 7346.62, w2 = 7191.618, dw = -0.09394, nw = 1651 141028.0033.ec.fits: ap = 27, w1 = 7253.634, w2 = 7100.597, dw = -0.09275, nw = 1651 141028.0033.ec.fits: ap = 28, w1 = 7162.973, w2 = 7011.85, dw = -0.09159, nw = 1651 141028.0033.ec.fits: ap = 29, w1 = 7074.551, w2 = 6925.295, dw = -0.09046, nw = 1651 141028.0033.ec.fits: ap = 30, w1 = 6988.285, w2 = 6840.85, dw = -0.08935, nw = 1651 141028.0033.ec.fits: ap = 31, w1 = 6904.097, w2 = 6758.441, dw = -0.08828, nw = 1651 141028.0033.ec.fits: ap = 32, w1 = 6821.915, w2 = 6677.994, dw = -0.08722, nw = 1651 141028.0033.ec.fits: ap = 33, w1 = 6741.666, w2 = 6599.44, dw = -0.0862, nw = 1651 141028.0033.ec.fits: ap = 34, w1 = 6663.283, w2 = 6522.712, dw = -0.08519, nw = 1651 141028.0033.ec.fits: ap = 35, w1 = 6586.702, w2 = 6447.749, dw = -0.08421, nw = 1651 141028.0033.ec.fits: ap = 36, w1 = 6511.862, w2 = 6374.489, dw = -0.08326, nw = 1651 141028.0033.ec.fits: ap = 37, w1 = 6438.704, w2 = 6302.876, dw = -0.08232, nw = 1651 141028.0033.ec.fits: ap = 38, w1 = 6367.171, w2 = 6232.854, dw = -0.0814, nw = 1651 141028.0033.ec.fits: ap = 39, w1 = 6297.211, w2 = 6164.371, dw = -0.08051, nw = 1651 141028.0033.ec.fits: ap = 40, w1 = 6228.771, w2 = 6097.377, dw = -0.07963, nw = 1651 141028.0033.ec.fits: ap = 41, w1 = 6161.804, w2 = 6031.824, dw = -0.07878, nw = 1651 141028.0033.ec.fits: ap = 42, w1 = 6096.261, w2 = 5967.665, dw = -0.07794, nw = 1651 141028.0033.ec.fits: ap = 43, w1 = 6032.098, w2 = 5904.858, dw = -0.07712, nw = 1651 141028.0033.ec.fits: ap = 44, w1 = 5969.272, w2 = 5843.358, dw = -0.07631, nw = 1651 141028.0033.ec.fits: ap = 45, w1 = 5907.742, w2 = 5783.128, dw = -0.07552, nw = 1651 141028.0033.ec.fits: ap = 46, w1 = 5847.467, w2 = 5724.126, dw = -0.07475, nw = 1651 141028.0033.ec.fits: ap = 47, w1 = 5788.41, w2 = 5666.316, dw = -0.074, nw = 1651 141028.0033.ec.fits: ap = 48, w1 = 5730.534, w2 = 5609.663, dw = -0.07326, nw = 1651 141028.0033.ec.fits: ap = 49, w1 = 5673.804, w2 = 5554.131, dw = -0.07253, nw = 1651 141028.0033.ec.fits: ap = 50, w1 = 5618.186, w2 = 5499.689, dw = -0.07182, nw = 1651 141028.0033.ec.fits: ap = 51, w1 = 5563.649, w2 = 5446.304, dw = -0.07112, nw = 1651 141028.0033.ec.fits: ap = 52, w1 = 5510.161, w2 = 5393.945, dw = -0.07043, nw = 1651 141028.0033.ec.fits: ap = 53, w1 = 5457.691, w2 = 5342.584, dw = -0.06976, nw = 1651 141028.0033.ec.fits: ap = 54, w1 = 5406.211, w2 = 5292.192, dw = -0.0691, nw = 1651 141028.0033.ec.fits: ap = 55, w1 = 5355.694, w2 = 5242.742, dw = -0.06846, nw = 1651 141028.0033.ec.fits: ap = 56, w1 = 5306.112, w2 = 5194.208, dw = -0.06782, nw = 1651 141028.0033.ec.fits: ap = 57, w1 = 5257.44, w2 = 5146.564, dw = -0.0672, nw = 1651 141028.0033.ec.fits: ap = 58, w1 = 5209.653, w2 = 5099.787, dw = -0.06659, nw = 1651 141028.0033.ec.fits: ap = 59, w1 = 5162.727, w2 = 5053.853, dw = -0.06598, nw = 1651 141028.0033.ec.fits: ap = 60, w1 = 5116.639, w2 = 5008.739, dw = -0.06539, nw = 1651 141028.0033.ec.fits: ap = 61, w1 = 5071.367, w2 = 4964.424, dw = -0.06481, nw = 1651 141028.0033.ec.fits: ap = 62, w1 = 5026.889, w2 = 4920.886, dw = -0.06424, nw = 1651 141028.0033.ec.fits: ap = 63, w1 = 4983.185, w2 = 4878.106, dw = -0.06368, nw = 1651 141028.0033.ec.fits: ap = 64, w1 = 4940.234, w2 = 4836.063, dw = -0.06313, nw = 1651 141028.0033.ec.fits: ap = 65, w1 = 4898.018, w2 = 4794.739, dw = -0.06259, nw = 1651 141028.0033.ec.fits: ap = 66, w1 = 4856.517, w2 = 4754.115, dw = -0.06206, nw = 1651 141028.0033.ec.fits: ap = 67, w1 = 4815.713, w2 = 4714.175, dw = -0.06154, nw = 1651 141028.0033.ec.fits: ap = 68, w1 = 4775.59, w2 = 4674.9, dw = -0.06102, nw = 1651 141028.0033.ec.fits: ap = 69, w1 = 4736.13, w2 = 4636.274, dw = -0.06052, nw = 1651 141028.0033.ec.fits: ap = 70, w1 = 4697.317, w2 = 4598.282, dw = -0.06002, nw = 1651 141028.0033.ec.fits: ap = 71, w1 = 4659.135, w2 = 4560.907, dw = -0.05953, nw = 1651 141028.0033.ec.fits: ap = 72, w1 = 4621.569, w2 = 4524.136, dw = -0.05905, nw = 1651 141028.0033.ec.fits: ap = 73, w1 = 4584.604, w2 = 4487.953, dw = -0.05858, nw = 1651 141028.0033.ec.fits: ap = 74, w1 = 4548.225, w2 = 4452.344, dw = -0.05811, nw = 1651 141028.0033.ec.fits: ap = 75, w1 = 4512.42, w2 = 4417.296, dw = -0.05765, nw = 1651 141028.0033.ec.fits: ap = 76, w1 = 4477.174, w2 = 4382.796, dw = -0.0572, nw = 1651 141028.0033.ec.fits: ap = 77, w1 = 4442.475, w2 = 4348.831, dw = -0.05675, nw = 1651 141028.0033.ec.fits: ap = 78, w1 = 4408.31, w2 = 4315.389, dw = -0.05632, nw = 1651 141028.0033.ec.fits: ap = 79, w1 = 4374.666, w2 = 4282.457, dw = -0.05588, nw = 1651 141028.0033.ec.fits: ap = 80, w1 = 4341.532, w2 = 4250.024, dw = -0.05546, nw = 1651 141028.0033.ec.fits: ap = 81, w1 = 4308.896, w2 = 4218.079, dw = -0.05504, nw = 1651 141028.0033.ec.fits: ap = 82, w1 = 4276.747, w2 = 4186.611, dw = -0.05463, nw = 1651 141028.0033.ec.fits: ap = 83, w1 = 4245.075, w2 = 4155.609, dw = -0.05422, nw = 1651 141028.0033.ec.fits: ap = 84, w1 = 4213.868, w2 = 4125.063, dw = -0.05382, nw = 1651 141028.0033.ec.fits: ap = 85, w1 = 4183.118, w2 = 4094.963, dw = -0.05343, nw = 1651 141028.0033.ec.fits: ap = 86, w1 = 4152.811, w2 = 4065.299, dw = -0.05304, nw = 1651 141028.0033.ec.fits: ap = 87, w1 = 4122.942, w2 = 4036.062, dw = -0.05265, nw = 1651 141028.0033.ec.fits: ap = 88, w1 = 4093.5, w2 = 4007.244, dw = -0.05228, nw = 1651 141028.0033.ec.fits: ap = 89, w1 = 4064.475, w2 = 3978.834, dw = -0.0519, nw = 1651 141028.0033.ec.fits: ap = 90, w1 = 4035.859, w2 = 3950.824, dw = -0.05154, nw = 1651 141028.0033.ec.fits: ap = 91, w1 = 4007.643, w2 = 3923.206, dw = -0.05117, nw = 1651 141028.0033.ec.fits: ap = 92, w1 = 3979.82, w2 = 3895.971, dw = -0.05082, nw = 1651 141028.0033.ec.fits: ap = 93, w1 = 3952.38, w2 = 3869.113, dw = -0.05046, nw = 1651 141028.0033.ec.fits: ap = 94, w1 = 3925.315, w2 = 3842.622, dw = -0.05012, nw = 1651 141028.0033.ec.fits: ap = 95, w1 = 3898.62, w2 = 3816.492, dw = -0.04977, nw = 1651 141028.0033.ec.fits: ap = 96, w1 = 3872.285, w2 = 3790.716, dw = -0.04944, nw = 1651 141028.0033.ec.fits: ap = 97, w1 = 3846.304, w2 = 3765.285, dw = -0.0491, nw = 1651 141028.0033.ec.fits: ap = 98, w1 = 3820.668, w2 = 3740.193, dw = -0.04877, nw = 1651 141028.0033.ec.fits: ap = 99, w1 = 3795.373, w2 = 3715.433, dw = -0.04845, nw = 1651 141028.0033.ec.fits: ap = 100, w1 = 3770.41, w2 = 3691., dw = -0.04813, nw = 1651 141028.0033.ec.fits: ap = 101, w1 = 3745.774, w2 = 3666.886, dw = -0.04781, nw = 1651 141028.0033.ec.fits: ap = 102, w1 = 3721.457, w2 = 3643.085, dw = -0.0475, nw = 1651 141028.0033.ec.fits: ap = 103, w1 = 3697.454, w2 = 3619.591, dw = -0.04719, nw = 1651 141028.0033.ec.fits: ap = 104, w1 = 3673.759, w2 = 3596.399, dw = -0.04689, nw = 1651 141028.0033.ec.fits: ap = 105, w1 = 3650.366, w2 = 3573.501, dw = -0.04658, nw = 1651 141028.0033.ec.fits: ap = 106, w1 = 3627.269, w2 = 3550.894, dw = -0.04629, nw = 1651 141028.0033.ec.fits: ap = 107, w1 = 3604.463, w2 = 3528.572, dw = -0.04599, nw = 1651 141028.0033.ec.fits: ap = 108, w1 = 3581.941, w2 = 3506.528, dw = -0.04571, nw = 1651 141028.0033.ec.fits: ap = 109, w1 = 3559.7, w2 = 3484.758, dw = -0.04542, nw = 1651 141028.0033.ec.fits: ap = 110, w1 = 3537.732, w2 = 3463.257, dw = -0.04514, nw = 1651 141028.0033.ec.fits: ap = 111, w1 = 3516.035, w2 = 3442.02, dw = -0.04486, nw = 1651 141028.0033.ec.fits: ap = 112, w1 = 3494.602, w2 = 3421.042, dw = -0.04458, nw = 1651 141028.0033.ec.fits: ap = 113, w1 = 3473.429, w2 = 3400.318, dw = -0.04431, nw = 1651 141028.0033.ec.fits: ap = 114, w1 = 3452.511, w2 = 3379.844, dw = -0.04404, nw = 1651 141028.0033.ec.fits: ap = 115, w1 = 3431.843, w2 = 3359.615, dw = -0.04377, nw = 1651 141028.0034.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.45935866' 141028.0034.ec.fits: REFSPEC2 = 'EchelleThAr.0036.ec 0.54064131' 141028.0034.ec.fits: ap = 1, w1 = 10811.64, w2 = 10583.46, dw = -0.13829, nw = 1651 141028.0034.ec.fits: ap = 2, w1 = 10611.44, w2 = 10387.49, dw = -0.13573, nw = 1651 141028.0034.ec.fits: ap = 3, w1 = 10418.53, w2 = 10198.65, dw = -0.13326, nw = 1651 141028.0034.ec.fits: ap = 4, w1 = 10232.5, w2 = 10016.55, dw = -0.13088, nw = 1651 141028.0034.ec.fits: ap = 5, w1 = 10053., w2 = 9840.835, dw = -0.12858, nw = 1651 141028.0034.ec.fits: ap = 6, w1 = 9879.684, w2 = 9671.183, dw = -0.12636, nw = 1651 141028.0034.ec.fits: ap = 7, w1 = 9712.247, w2 = 9507.282, dw = -0.12422, nw = 1651 141028.0034.ec.fits: ap = 8, w1 = 9550.391, w2 = 9348.843, dw = -0.12215, nw = 1651 141028.0034.ec.fits: ap = 9, w1 = 9393.841, w2 = 9195.6, dw = -0.12015, nw = 1651 141028.0034.ec.fits: ap = 10, w1 = 9242.341, w2 = 9047.299, dw = -0.11821, nw = 1651 141028.0034.ec.fits: ap = 11, w1 = 9095.65, w2 = 8903.706, dw = -0.11633, nw = 1651 141028.0034.ec.fits: ap = 12, w1 = 8953.543, w2 = 8764.601, dw = -0.11451, nw = 1651 141028.0034.ec.fits: ap = 13, w1 = 8815.808, w2 = 8629.775, dw = -0.11275, nw = 1651 141028.0034.ec.fits: ap = 14, w1 = 8682.247, w2 = 8499.035, dw = -0.11104, nw = 1651 141028.0034.ec.fits: ap = 15, w1 = 8552.672, w2 = 8372.197, dw = -0.10938, nw = 1651 141028.0034.ec.fits: ap = 16, w1 = 8426.909, w2 = 8249.09, dw = -0.10777, nw = 1651 141028.0034.ec.fits: ap = 17, w1 = 8304.791, w2 = 8129.551, dw = -0.10621, nw = 1651 141028.0034.ec.fits: ap = 18, w1 = 8186.161, w2 = 8013.427, dw = -0.10469, nw = 1651 141028.0034.ec.fits: ap = 19, w1 = 8070.874, w2 = 7900.574, dw = -0.10321, nw = 1651 141028.0034.ec.fits: ap = 20, w1 = 7958.788, w2 = 7790.857, dw = -0.10178, nw = 1651 141028.0034.ec.fits: ap = 21, w1 = 7849.774, w2 = 7684.144, dw = -0.10038, nw = 1651 141028.0034.ec.fits: ap = 22, w1 = 7743.705, w2 = 7580.316, dw = -0.09902, nw = 1651 141028.0034.ec.fits: ap = 23, w1 = 7640.465, w2 = 7479.257, dw = -0.0977, nw = 1651 141028.0034.ec.fits: ap = 24, w1 = 7539.942, w2 = 7380.857, dw = -0.09642, nw = 1651 141028.0034.ec.fits: ap = 25, w1 = 7442.03, w2 = 7285.013, dw = -0.09516, nw = 1651 141028.0034.ec.fits: ap = 26, w1 = 7346.629, w2 = 7191.627, dw = -0.09394, nw = 1651 141028.0034.ec.fits: ap = 27, w1 = 7253.643, w2 = 7100.605, dw = -0.09275, nw = 1651 141028.0034.ec.fits: ap = 28, w1 = 7162.981, w2 = 7011.858, dw = -0.09159, nw = 1651 141028.0034.ec.fits: ap = 29, w1 = 7074.558, w2 = 6925.303, dw = -0.09046, nw = 1651 141028.0034.ec.fits: ap = 30, w1 = 6988.292, w2 = 6840.858, dw = -0.08935, nw = 1651 141028.0034.ec.fits: ap = 31, w1 = 6904.104, w2 = 6758.449, dw = -0.08828, nw = 1651 141028.0034.ec.fits: ap = 32, w1 = 6821.921, w2 = 6678.002, dw = -0.08722, nw = 1651 141028.0034.ec.fits: ap = 33, w1 = 6741.672, w2 = 6599.447, dw = -0.0862, nw = 1651 141028.0034.ec.fits: ap = 34, w1 = 6663.289, w2 = 6522.72, dw = -0.08519, nw = 1651 141028.0034.ec.fits: ap = 35, w1 = 6586.708, w2 = 6447.756, dw = -0.08421, nw = 1651 141028.0034.ec.fits: ap = 36, w1 = 6511.867, w2 = 6374.496, dw = -0.08325, nw = 1651 141028.0034.ec.fits: ap = 37, w1 = 6438.708, w2 = 6302.883, dw = -0.08232, nw = 1651 141028.0034.ec.fits: ap = 38, w1 = 6367.176, w2 = 6232.861, dw = -0.0814, nw = 1651 141028.0034.ec.fits: ap = 39, w1 = 6297.215, w2 = 6164.378, dw = -0.08051, nw = 1651 141028.0034.ec.fits: ap = 40, w1 = 6228.775, w2 = 6097.384, dw = -0.07963, nw = 1651 141028.0034.ec.fits: ap = 41, w1 = 6161.807, w2 = 6031.83, dw = -0.07877, nw = 1651 141028.0034.ec.fits: ap = 42, w1 = 6096.265, w2 = 5967.672, dw = -0.07794, nw = 1651 141028.0034.ec.fits: ap = 43, w1 = 6032.102, w2 = 5904.864, dw = -0.07711, nw = 1651 141028.0034.ec.fits: ap = 44, w1 = 5969.275, w2 = 5843.365, dw = -0.07631, nw = 1651 141028.0034.ec.fits: ap = 45, w1 = 5907.745, w2 = 5783.134, dw = -0.07552, nw = 1651 141028.0034.ec.fits: ap = 46, w1 = 5847.47, w2 = 5724.132, dw = -0.07475, nw = 1651 141028.0034.ec.fits: ap = 47, w1 = 5788.413, w2 = 5666.322, dw = -0.07399, nw = 1651 141028.0034.ec.fits: ap = 48, w1 = 5730.537, w2 = 5609.669, dw = -0.07325, nw = 1651 141028.0034.ec.fits: ap = 49, w1 = 5673.807, w2 = 5554.137, dw = -0.07253, nw = 1651 141028.0034.ec.fits: ap = 50, w1 = 5618.19, w2 = 5499.695, dw = -0.07182, nw = 1651 141028.0034.ec.fits: ap = 51, w1 = 5563.652, w2 = 5446.309, dw = -0.07112, nw = 1651 141028.0034.ec.fits: ap = 52, w1 = 5510.164, w2 = 5393.951, dw = -0.07043, nw = 1651 141028.0034.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.589, dw = -0.06976, nw = 1651 141028.0034.ec.fits: ap = 54, w1 = 5406.215, w2 = 5292.197, dw = -0.0691, nw = 1651 141028.0034.ec.fits: ap = 55, w1 = 5355.698, w2 = 5242.747, dw = -0.06845, nw = 1651 141028.0034.ec.fits: ap = 56, w1 = 5306.116, w2 = 5194.213, dw = -0.06782, nw = 1651 141028.0034.ec.fits: ap = 57, w1 = 5257.444, w2 = 5146.569, dw = -0.0672, nw = 1651 141028.0034.ec.fits: ap = 58, w1 = 5209.657, w2 = 5099.792, dw = -0.06658, nw = 1651 141028.0034.ec.fits: ap = 59, w1 = 5162.732, w2 = 5053.858, dw = -0.06598, nw = 1651 141028.0034.ec.fits: ap = 60, w1 = 5116.644, w2 = 5008.744, dw = -0.06539, nw = 1651 141028.0034.ec.fits: ap = 61, w1 = 5071.372, w2 = 4964.428, dw = -0.06481, nw = 1651 141028.0034.ec.fits: ap = 62, w1 = 5026.894, w2 = 4920.891, dw = -0.06424, nw = 1651 141028.0034.ec.fits: ap = 63, w1 = 4983.19, w2 = 4878.11, dw = -0.06368, nw = 1651 141028.0034.ec.fits: ap = 64, w1 = 4940.239, w2 = 4836.067, dw = -0.06313, nw = 1651 141028.0034.ec.fits: ap = 65, w1 = 4898.023, w2 = 4794.743, dw = -0.06259, nw = 1651 141028.0034.ec.fits: ap = 66, w1 = 4856.522, w2 = 4754.119, dw = -0.06206, nw = 1651 141028.0034.ec.fits: ap = 67, w1 = 4815.719, w2 = 4714.179, dw = -0.06154, nw = 1651 141028.0034.ec.fits: ap = 68, w1 = 4775.596, w2 = 4674.904, dw = -0.06103, nw = 1651 141028.0034.ec.fits: ap = 69, w1 = 4736.136, w2 = 4636.278, dw = -0.06052, nw = 1651 141028.0034.ec.fits: ap = 70, w1 = 4697.323, w2 = 4598.286, dw = -0.06002, nw = 1651 141028.0034.ec.fits: ap = 71, w1 = 4659.141, w2 = 4560.911, dw = -0.05953, nw = 1651 141028.0034.ec.fits: ap = 72, w1 = 4621.575, w2 = 4524.139, dw = -0.05905, nw = 1651 141028.0034.ec.fits: ap = 73, w1 = 4584.609, w2 = 4487.956, dw = -0.05858, nw = 1651 141028.0034.ec.fits: ap = 74, w1 = 4548.231, w2 = 4452.347, dw = -0.05811, nw = 1651 141028.0034.ec.fits: ap = 75, w1 = 4512.426, w2 = 4417.299, dw = -0.05765, nw = 1651 141028.0034.ec.fits: ap = 76, w1 = 4477.18, w2 = 4382.799, dw = -0.0572, nw = 1651 141028.0034.ec.fits: ap = 77, w1 = 4442.48, w2 = 4348.833, dw = -0.05676, nw = 1651 141028.0034.ec.fits: ap = 78, w1 = 4408.314, w2 = 4315.391, dw = -0.05632, nw = 1651 141028.0034.ec.fits: ap = 79, w1 = 4374.67, w2 = 4282.458, dw = -0.05589, nw = 1651 141028.0034.ec.fits: ap = 80, w1 = 4341.535, w2 = 4250.025, dw = -0.05546, nw = 1651 141028.0034.ec.fits: ap = 81, w1 = 4308.899, w2 = 4218.08, dw = -0.05504, nw = 1651 141028.0034.ec.fits: ap = 82, w1 = 4276.749, w2 = 4186.612, dw = -0.05463, nw = 1651 141028.0034.ec.fits: ap = 83, w1 = 4245.076, w2 = 4155.609, dw = -0.05422, nw = 1651 141028.0034.ec.fits: ap = 84, w1 = 4213.869, w2 = 4125.063, dw = -0.05382, nw = 1651 141028.0034.ec.fits: ap = 85, w1 = 4183.117, w2 = 4094.963, dw = -0.05343, nw = 1651 141028.0034.ec.fits: ap = 86, w1 = 4152.81, w2 = 4065.298, dw = -0.05304, nw = 1651 141028.0034.ec.fits: ap = 87, w1 = 4122.94, w2 = 4036.061, dw = -0.05265, nw = 1651 141028.0034.ec.fits: ap = 88, w1 = 4093.496, w2 = 4007.242, dw = -0.05228, nw = 1651 141028.0034.ec.fits: ap = 89, w1 = 4064.47, w2 = 3978.831, dw = -0.0519, nw = 1651 141028.0034.ec.fits: ap = 90, w1 = 4035.852, w2 = 3950.821, dw = -0.05153, nw = 1651 141028.0034.ec.fits: ap = 91, w1 = 4007.635, w2 = 3923.202, dw = -0.05117, nw = 1651 141028.0034.ec.fits: ap = 92, w1 = 3979.809, w2 = 3895.967, dw = -0.05081, nw = 1651 141028.0034.ec.fits: ap = 93, w1 = 3952.367, w2 = 3869.108, dw = -0.05046, nw = 1651 141028.0034.ec.fits: ap = 94, w1 = 3925.301, w2 = 3842.617, dw = -0.05011, nw = 1651 141028.0034.ec.fits: ap = 95, w1 = 3898.602, w2 = 3816.486, dw = -0.04977, nw = 1651 141028.0034.ec.fits: ap = 96, w1 = 3872.265, w2 = 3790.708, dw = -0.04943, nw = 1651 141028.0034.ec.fits: ap = 97, w1 = 3846.281, w2 = 3765.277, dw = -0.04909, nw = 1651 141028.0034.ec.fits: ap = 98, w1 = 3820.643, w2 = 3740.184, dw = -0.04876, nw = 1651 141028.0034.ec.fits: ap = 99, w1 = 3795.344, w2 = 3715.424, dw = -0.04844, nw = 1651 141028.0034.ec.fits: ap = 100, w1 = 3770.378, w2 = 3690.989, dw = -0.04811, nw = 1651 141028.0034.ec.fits: ap = 101, w1 = 3745.738, w2 = 3666.874, dw = -0.0478, nw = 1651 141028.0034.ec.fits: ap = 102, w1 = 3721.418, w2 = 3643.072, dw = -0.04748, nw = 1651 141028.0034.ec.fits: ap = 103, w1 = 3697.412, w2 = 3619.577, dw = -0.04717, nw = 1651 141028.0034.ec.fits: ap = 104, w1 = 3673.713, w2 = 3596.384, dw = -0.04687, nw = 1651 141028.0034.ec.fits: ap = 105, w1 = 3650.315, w2 = 3573.485, dw = -0.04656, nw = 1651 141028.0034.ec.fits: ap = 106, w1 = 3627.214, w2 = 3550.877, dw = -0.04626, nw = 1651 141028.0034.ec.fits: ap = 107, w1 = 3604.403, w2 = 3528.553, dw = -0.04597, nw = 1651 141028.0034.ec.fits: ap = 108, w1 = 3581.877, w2 = 3506.508, dw = -0.04568, nw = 1651 141028.0034.ec.fits: ap = 109, w1 = 3559.63, w2 = 3484.737, dw = -0.04539, nw = 1651 141028.0034.ec.fits: ap = 110, w1 = 3537.657, w2 = 3463.234, dw = -0.04511, nw = 1651 141028.0034.ec.fits: ap = 111, w1 = 3515.954, w2 = 3441.995, dw = -0.04482, nw = 1651 141028.0034.ec.fits: ap = 112, w1 = 3494.515, w2 = 3421.016, dw = -0.04455, nw = 1651 141028.0034.ec.fits: ap = 113, w1 = 3473.336, w2 = 3400.29, dw = -0.04427, nw = 1651 141028.0034.ec.fits: ap = 114, w1 = 3452.412, w2 = 3379.814, dw = -0.044, nw = 1651 141028.0034.ec.fits: ap = 115, w1 = 3431.738, w2 = 3359.583, dw = -0.04373, nw = 1651 141028.0035.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 0.14738604' 141028.0035.ec.fits: REFSPEC2 = 'EchelleThAr.0036.ec 0.85261393' 141028.0035.ec.fits: ap = 1, w1 = 10811.61, w2 = 10583.46, dw = -0.13828, nw = 1651 141028.0035.ec.fits: ap = 2, w1 = 10611.42, w2 = 10387.49, dw = -0.13572, nw = 1651 141028.0035.ec.fits: ap = 3, w1 = 10418.51, w2 = 10198.64, dw = -0.13325, nw = 1651 141028.0035.ec.fits: ap = 4, w1 = 10232.48, w2 = 10016.55, dw = -0.13087, nw = 1651 141028.0035.ec.fits: ap = 5, w1 = 10052.98, w2 = 9840.836, dw = -0.12857, nw = 1651 141028.0035.ec.fits: ap = 6, w1 = 9879.676, w2 = 9671.185, dw = -0.12636, nw = 1651 141028.0035.ec.fits: ap = 7, w1 = 9712.241, w2 = 9507.285, dw = -0.12422, nw = 1651 141028.0035.ec.fits: ap = 8, w1 = 9550.387, w2 = 9348.847, dw = -0.12215, nw = 1651 141028.0035.ec.fits: ap = 9, w1 = 9393.84, w2 = 9195.604, dw = -0.12014, nw = 1651 141028.0035.ec.fits: ap = 10, w1 = 9242.341, w2 = 9047.304, dw = -0.1182, nw = 1651 141028.0035.ec.fits: ap = 11, w1 = 9095.652, w2 = 8903.712, dw = -0.11633, nw = 1651 141028.0035.ec.fits: ap = 12, w1 = 8953.546, w2 = 8764.607, dw = -0.11451, nw = 1651 141028.0035.ec.fits: ap = 13, w1 = 8815.813, w2 = 8629.781, dw = -0.11275, nw = 1651 141028.0035.ec.fits: ap = 14, w1 = 8682.253, w2 = 8499.042, dw = -0.11104, nw = 1651 141028.0035.ec.fits: ap = 15, w1 = 8552.679, w2 = 8372.204, dw = -0.10938, nw = 1651 141028.0035.ec.fits: ap = 16, w1 = 8426.916, w2 = 8249.097, dw = -0.10777, nw = 1651 141028.0035.ec.fits: ap = 17, w1 = 8304.798, w2 = 8129.558, dw = -0.10621, nw = 1651 141028.0035.ec.fits: ap = 18, w1 = 8186.169, w2 = 8013.435, dw = -0.10469, nw = 1651 141028.0035.ec.fits: ap = 19, w1 = 8070.882, w2 = 7900.582, dw = -0.10321, nw = 1651 141028.0035.ec.fits: ap = 20, w1 = 7958.797, w2 = 7790.864, dw = -0.10178, nw = 1651 141028.0035.ec.fits: ap = 21, w1 = 7849.782, w2 = 7684.152, dw = -0.10038, nw = 1651 141028.0035.ec.fits: ap = 22, w1 = 7743.714, w2 = 7580.324, dw = -0.09902, nw = 1651 141028.0035.ec.fits: ap = 23, w1 = 7640.474, w2 = 7479.265, dw = -0.0977, nw = 1651 141028.0035.ec.fits: ap = 24, w1 = 7539.951, w2 = 7380.865, dw = -0.09642, nw = 1651 141028.0035.ec.fits: ap = 25, w1 = 7442.038, w2 = 7285.021, dw = -0.09516, nw = 1651 141028.0035.ec.fits: ap = 26, w1 = 7346.636, w2 = 7191.634, dw = -0.09394, nw = 1651 141028.0035.ec.fits: ap = 27, w1 = 7253.65, w2 = 7100.612, dw = -0.09275, nw = 1651 141028.0035.ec.fits: ap = 28, w1 = 7162.988, w2 = 7011.865, dw = -0.09159, nw = 1651 141028.0035.ec.fits: ap = 29, w1 = 7074.565, w2 = 6925.31, dw = -0.09046, nw = 1651 141028.0035.ec.fits: ap = 30, w1 = 6988.298, w2 = 6840.865, dw = -0.08935, nw = 1651 141028.0035.ec.fits: ap = 31, w1 = 6904.11, w2 = 6758.456, dw = -0.08828, nw = 1651 141028.0035.ec.fits: ap = 32, w1 = 6821.927, w2 = 6678.009, dw = -0.08722, nw = 1651 141028.0035.ec.fits: ap = 33, w1 = 6741.677, w2 = 6599.454, dw = -0.0862, nw = 1651 141028.0035.ec.fits: ap = 34, w1 = 6663.294, w2 = 6522.726, dw = -0.08519, nw = 1651 141028.0035.ec.fits: ap = 35, w1 = 6586.712, w2 = 6447.763, dw = -0.08421, nw = 1651 141028.0035.ec.fits: ap = 36, w1 = 6511.872, w2 = 6374.503, dw = -0.08325, nw = 1651 141028.0035.ec.fits: ap = 37, w1 = 6438.713, w2 = 6302.889, dw = -0.08232, nw = 1651 141028.0035.ec.fits: ap = 38, w1 = 6367.179, w2 = 6232.867, dw = -0.0814, nw = 1651 141028.0035.ec.fits: ap = 39, w1 = 6297.219, w2 = 6164.384, dw = -0.08051, nw = 1651 141028.0035.ec.fits: ap = 40, w1 = 6228.779, w2 = 6097.39, dw = -0.07963, nw = 1651 141028.0035.ec.fits: ap = 41, w1 = 6161.811, w2 = 6031.836, dw = -0.07877, nw = 1651 141028.0035.ec.fits: ap = 42, w1 = 6096.268, w2 = 5967.677, dw = -0.07793, nw = 1651 141028.0035.ec.fits: ap = 43, w1 = 6032.105, w2 = 5904.87, dw = -0.07711, nw = 1651 141028.0035.ec.fits: ap = 44, w1 = 5969.278, w2 = 5843.37, dw = -0.07631, nw = 1651 141028.0035.ec.fits: ap = 45, w1 = 5907.748, w2 = 5783.139, dw = -0.07552, nw = 1651 141028.0035.ec.fits: ap = 46, w1 = 5847.473, w2 = 5724.137, dw = -0.07475, nw = 1651 141028.0035.ec.fits: ap = 47, w1 = 5788.415, w2 = 5666.327, dw = -0.07399, nw = 1651 141028.0035.ec.fits: ap = 48, w1 = 5730.54, w2 = 5609.674, dw = -0.07325, nw = 1651 141028.0035.ec.fits: ap = 49, w1 = 5673.81, w2 = 5554.142, dw = -0.07253, nw = 1651 141028.0035.ec.fits: ap = 50, w1 = 5618.192, w2 = 5499.7, dw = -0.07181, nw = 1651 141028.0035.ec.fits: ap = 51, w1 = 5563.655, w2 = 5446.314, dw = -0.07112, nw = 1651 141028.0035.ec.fits: ap = 52, w1 = 5510.167, w2 = 5393.955, dw = -0.07043, nw = 1651 141028.0035.ec.fits: ap = 53, w1 = 5457.697, w2 = 5342.594, dw = -0.06976, nw = 1651 141028.0035.ec.fits: ap = 54, w1 = 5406.218, w2 = 5292.202, dw = -0.0691, nw = 1651 141028.0035.ec.fits: ap = 55, w1 = 5355.701, w2 = 5242.752, dw = -0.06845, nw = 1651 141028.0035.ec.fits: ap = 56, w1 = 5306.119, w2 = 5194.218, dw = -0.06782, nw = 1651 141028.0035.ec.fits: ap = 57, w1 = 5257.448, w2 = 5146.574, dw = -0.0672, nw = 1651 141028.0035.ec.fits: ap = 58, w1 = 5209.661, w2 = 5099.797, dw = -0.06658, nw = 1651 141028.0035.ec.fits: ap = 59, w1 = 5162.735, w2 = 5053.862, dw = -0.06598, nw = 1651 141028.0035.ec.fits: ap = 60, w1 = 5116.648, w2 = 5008.748, dw = -0.06539, nw = 1651 141028.0035.ec.fits: ap = 61, w1 = 5071.376, w2 = 4964.433, dw = -0.06481, nw = 1651 141028.0035.ec.fits: ap = 62, w1 = 5026.899, w2 = 4920.895, dw = -0.06424, nw = 1651 141028.0035.ec.fits: ap = 63, w1 = 4983.195, w2 = 4878.114, dw = -0.06369, nw = 1651 141028.0035.ec.fits: ap = 64, w1 = 4940.244, w2 = 4836.071, dw = -0.06314, nw = 1651 141028.0035.ec.fits: ap = 65, w1 = 4898.028, w2 = 4794.747, dw = -0.06259, nw = 1651 141028.0035.ec.fits: ap = 66, w1 = 4856.527, w2 = 4754.123, dw = -0.06206, nw = 1651 141028.0035.ec.fits: ap = 67, w1 = 4815.724, w2 = 4714.182, dw = -0.06154, nw = 1651 141028.0035.ec.fits: ap = 68, w1 = 4775.601, w2 = 4674.907, dw = -0.06103, nw = 1651 141028.0035.ec.fits: ap = 69, w1 = 4736.141, w2 = 4636.281, dw = -0.06052, nw = 1651 141028.0035.ec.fits: ap = 70, w1 = 4697.328, w2 = 4598.289, dw = -0.06002, nw = 1651 141028.0035.ec.fits: ap = 71, w1 = 4659.146, w2 = 4560.914, dw = -0.05953, nw = 1651 141028.0035.ec.fits: ap = 72, w1 = 4621.58, w2 = 4524.142, dw = -0.05905, nw = 1651 141028.0035.ec.fits: ap = 73, w1 = 4584.615, w2 = 4487.959, dw = -0.05858, nw = 1651 141028.0035.ec.fits: ap = 74, w1 = 4548.236, w2 = 4452.35, dw = -0.05811, nw = 1651 141028.0035.ec.fits: ap = 75, w1 = 4512.43, w2 = 4417.301, dw = -0.05765, nw = 1651 141028.0035.ec.fits: ap = 76, w1 = 4477.184, w2 = 4382.801, dw = -0.0572, nw = 1651 141028.0035.ec.fits: ap = 77, w1 = 4442.484, w2 = 4348.835, dw = -0.05676, nw = 1651 141028.0035.ec.fits: ap = 78, w1 = 4408.318, w2 = 4315.392, dw = -0.05632, nw = 1651 141028.0035.ec.fits: ap = 79, w1 = 4374.673, w2 = 4282.46, dw = -0.05589, nw = 1651 141028.0035.ec.fits: ap = 80, w1 = 4341.538, w2 = 4250.027, dw = -0.05546, nw = 1651 141028.0035.ec.fits: ap = 81, w1 = 4308.901, w2 = 4218.081, dw = -0.05504, nw = 1651 141028.0035.ec.fits: ap = 82, w1 = 4276.751, w2 = 4186.612, dw = -0.05463, nw = 1651 141028.0035.ec.fits: ap = 83, w1 = 4245.077, w2 = 4155.61, dw = -0.05422, nw = 1651 141028.0035.ec.fits: ap = 84, w1 = 4213.869, w2 = 4125.063, dw = -0.05382, nw = 1651 141028.0035.ec.fits: ap = 85, w1 = 4183.116, w2 = 4094.963, dw = -0.05343, nw = 1651 141028.0035.ec.fits: ap = 86, w1 = 4152.809, w2 = 4065.298, dw = -0.05304, nw = 1651 141028.0035.ec.fits: ap = 87, w1 = 4122.937, w2 = 4036.06, dw = -0.05265, nw = 1651 141028.0035.ec.fits: ap = 88, w1 = 4093.492, w2 = 4007.241, dw = -0.05227, nw = 1651 141028.0035.ec.fits: ap = 89, w1 = 4064.465, w2 = 3978.83, dw = -0.0519, nw = 1651 141028.0035.ec.fits: ap = 90, w1 = 4035.846, w2 = 3950.819, dw = -0.05153, nw = 1651 141028.0035.ec.fits: ap = 91, w1 = 4007.627, w2 = 3923.2, dw = -0.05117, nw = 1651 141028.0035.ec.fits: ap = 92, w1 = 3979.799, w2 = 3895.964, dw = -0.05081, nw = 1651 141028.0035.ec.fits: ap = 93, w1 = 3952.356, w2 = 3869.104, dw = -0.05046, nw = 1651 141028.0035.ec.fits: ap = 94, w1 = 3925.287, w2 = 3842.612, dw = -0.05011, nw = 1651 141028.0035.ec.fits: ap = 95, w1 = 3898.587, w2 = 3816.48, dw = -0.04976, nw = 1651 141028.0035.ec.fits: ap = 96, w1 = 3872.247, w2 = 3790.702, dw = -0.04942, nw = 1651 141028.0035.ec.fits: ap = 97, w1 = 3846.261, w2 = 3765.27, dw = -0.04909, nw = 1651 141028.0035.ec.fits: ap = 98, w1 = 3820.62, w2 = 3740.176, dw = -0.04875, nw = 1651 141028.0035.ec.fits: ap = 99, w1 = 3795.319, w2 = 3715.415, dw = -0.04843, nw = 1651 141028.0035.ec.fits: ap = 100, w1 = 3770.35, w2 = 3690.98, dw = -0.0481, nw = 1651 141028.0035.ec.fits: ap = 101, w1 = 3745.707, w2 = 3666.864, dw = -0.04778, nw = 1651 141028.0035.ec.fits: ap = 102, w1 = 3721.384, w2 = 3643.061, dw = -0.04747, nw = 1651 141028.0035.ec.fits: ap = 103, w1 = 3697.374, w2 = 3619.565, dw = -0.04716, nw = 1651 141028.0035.ec.fits: ap = 104, w1 = 3673.672, w2 = 3596.37, dw = -0.04685, nw = 1651 141028.0035.ec.fits: ap = 105, w1 = 3650.271, w2 = 3573.471, dw = -0.04655, nw = 1651 141028.0035.ec.fits: ap = 106, w1 = 3627.165, w2 = 3550.861, dw = -0.04624, nw = 1651 141028.0035.ec.fits: ap = 107, w1 = 3604.35, w2 = 3528.536, dw = -0.04595, nw = 1651 141028.0035.ec.fits: ap = 108, w1 = 3581.819, w2 = 3506.49, dw = -0.04565, nw = 1651 141028.0035.ec.fits: ap = 109, w1 = 3559.568, w2 = 3484.718, dw = -0.04536, nw = 1651 141028.0035.ec.fits: ap = 110, w1 = 3537.591, w2 = 3463.214, dw = -0.04508, nw = 1651 141028.0035.ec.fits: ap = 111, w1 = 3515.883, w2 = 3441.974, dw = -0.04479, nw = 1651 141028.0035.ec.fits: ap = 112, w1 = 3494.439, w2 = 3420.993, dw = -0.04451, nw = 1651 141028.0035.ec.fits: ap = 113, w1 = 3473.254, w2 = 3400.266, dw = -0.04424, nw = 1651 141028.0035.ec.fits: ap = 114, w1 = 3452.324, w2 = 3379.788, dw = -0.04396, nw = 1651 141028.0035.ec.fits: ap = 115, w1 = 3431.644, w2 = 3359.556, dw = -0.04369, nw = 1651 141028.0037.ec.fits: REFSPEC1 = 'EchelleThAr.0036.ec 0.74580377' 141028.0037.ec.fits: REFSPEC2 = 'EchelleThAr.0040.ec 0.25419626' 141028.0037.ec.fits: ap = 1, w1 = 10811.6, w2 = 10583.46, dw = -0.13827, nw = 1651 141028.0037.ec.fits: ap = 2, w1 = 10611.41, w2 = 10387.49, dw = -0.13571, nw = 1651 141028.0037.ec.fits: ap = 3, w1 = 10418.5, w2 = 10198.64, dw = -0.13325, nw = 1651 141028.0037.ec.fits: ap = 4, w1 = 10232.47, w2 = 10016.54, dw = -0.13087, nw = 1651 141028.0037.ec.fits: ap = 5, w1 = 10052.98, w2 = 9840.834, dw = -0.12857, nw = 1651 141028.0037.ec.fits: ap = 6, w1 = 9879.668, w2 = 9671.182, dw = -0.12636, nw = 1651 141028.0037.ec.fits: ap = 7, w1 = 9712.234, w2 = 9507.281, dw = -0.12421, nw = 1651 141028.0037.ec.fits: ap = 8, w1 = 9550.38, w2 = 9348.843, dw = -0.12214, nw = 1651 141028.0037.ec.fits: ap = 9, w1 = 9393.832, w2 = 9195.599, dw = -0.12014, nw = 1651 141028.0037.ec.fits: ap = 10, w1 = 9242.334, w2 = 9047.299, dw = -0.1182, nw = 1651 141028.0037.ec.fits: ap = 11, w1 = 9095.645, w2 = 8903.706, dw = -0.11633, nw = 1651 141028.0037.ec.fits: ap = 12, w1 = 8953.539, w2 = 8764.6, dw = -0.11451, nw = 1651 141028.0037.ec.fits: ap = 13, w1 = 8815.805, w2 = 8629.774, dw = -0.11275, nw = 1651 141028.0037.ec.fits: ap = 14, w1 = 8682.245, w2 = 8499.034, dw = -0.11104, nw = 1651 141028.0037.ec.fits: ap = 15, w1 = 8552.672, w2 = 8372.197, dw = -0.10938, nw = 1651 141028.0037.ec.fits: ap = 16, w1 = 8426.909, w2 = 8249.089, dw = -0.10777, nw = 1651 141028.0037.ec.fits: ap = 17, w1 = 8304.791, w2 = 8129.55, dw = -0.10621, nw = 1651 141028.0037.ec.fits: ap = 18, w1 = 8186.163, w2 = 8013.427, dw = -0.10469, nw = 1651 141028.0037.ec.fits: ap = 19, w1 = 8070.875, w2 = 7900.574, dw = -0.10321, nw = 1651 141028.0037.ec.fits: ap = 20, w1 = 7958.79, w2 = 7790.856, dw = -0.10178, nw = 1651 141028.0037.ec.fits: ap = 21, w1 = 7849.775, w2 = 7684.144, dw = -0.10038, nw = 1651 141028.0037.ec.fits: ap = 22, w1 = 7743.707, w2 = 7580.316, dw = -0.09902, nw = 1651 141028.0037.ec.fits: ap = 23, w1 = 7640.466, w2 = 7479.257, dw = -0.0977, nw = 1651 141028.0037.ec.fits: ap = 24, w1 = 7539.944, w2 = 7380.857, dw = -0.09642, nw = 1651 141028.0037.ec.fits: ap = 25, w1 = 7442.032, w2 = 7285.014, dw = -0.09516, nw = 1651 141028.0037.ec.fits: ap = 26, w1 = 7346.63, w2 = 7191.627, dw = -0.09394, nw = 1651 141028.0037.ec.fits: ap = 27, w1 = 7253.644, w2 = 7100.605, dw = -0.09275, nw = 1651 141028.0037.ec.fits: ap = 28, w1 = 7162.982, w2 = 7011.858, dw = -0.09159, nw = 1651 141028.0037.ec.fits: ap = 29, w1 = 7074.559, w2 = 6925.303, dw = -0.09046, nw = 1651 141028.0037.ec.fits: ap = 30, w1 = 6988.292, w2 = 6840.859, dw = -0.08935, nw = 1651 141028.0037.ec.fits: ap = 31, w1 = 6904.104, w2 = 6758.449, dw = -0.08828, nw = 1651 141028.0037.ec.fits: ap = 32, w1 = 6821.921, w2 = 6678.002, dw = -0.08722, nw = 1651 141028.0037.ec.fits: ap = 33, w1 = 6741.672, w2 = 6599.448, dw = -0.0862, nw = 1651 141028.0037.ec.fits: ap = 34, w1 = 6663.288, w2 = 6522.72, dw = -0.08519, nw = 1651 141028.0037.ec.fits: ap = 35, w1 = 6586.707, w2 = 6447.757, dw = -0.08421, nw = 1651 141028.0037.ec.fits: ap = 36, w1 = 6511.866, w2 = 6374.497, dw = -0.08325, nw = 1651 141028.0037.ec.fits: ap = 37, w1 = 6438.708, w2 = 6302.884, dw = -0.08232, nw = 1651 141028.0037.ec.fits: ap = 38, w1 = 6367.175, w2 = 6232.862, dw = -0.0814, nw = 1651 141028.0037.ec.fits: ap = 39, w1 = 6297.214, w2 = 6164.379, dw = -0.08051, nw = 1651 141028.0037.ec.fits: ap = 40, w1 = 6228.774, w2 = 6097.385, dw = -0.07963, nw = 1651 141028.0037.ec.fits: ap = 41, w1 = 6161.806, w2 = 6031.832, dw = -0.07877, nw = 1651 141028.0037.ec.fits: ap = 42, w1 = 6096.263, w2 = 5967.673, dw = -0.07793, nw = 1651 141028.0037.ec.fits: ap = 43, w1 = 6032.1, w2 = 5904.865, dw = -0.07711, nw = 1651 141028.0037.ec.fits: ap = 44, w1 = 5969.274, w2 = 5843.366, dw = -0.07631, nw = 1651 141028.0037.ec.fits: ap = 45, w1 = 5907.744, w2 = 5783.135, dw = -0.07552, nw = 1651 141028.0037.ec.fits: ap = 46, w1 = 5847.469, w2 = 5724.134, dw = -0.07475, nw = 1651 141028.0037.ec.fits: ap = 47, w1 = 5788.412, w2 = 5666.324, dw = -0.07399, nw = 1651 141028.0037.ec.fits: ap = 48, w1 = 5730.536, w2 = 5609.671, dw = -0.07325, nw = 1651 141028.0037.ec.fits: ap = 49, w1 = 5673.806, w2 = 5554.139, dw = -0.07253, nw = 1651 141028.0037.ec.fits: ap = 50, w1 = 5618.189, w2 = 5499.696, dw = -0.07181, nw = 1651 141028.0037.ec.fits: ap = 51, w1 = 5563.652, w2 = 5446.311, dw = -0.07112, nw = 1651 141028.0037.ec.fits: ap = 52, w1 = 5510.163, w2 = 5393.953, dw = -0.07043, nw = 1651 141028.0037.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.591, dw = -0.06976, nw = 1651 141028.0037.ec.fits: ap = 54, w1 = 5406.215, w2 = 5292.199, dw = -0.0691, nw = 1651 141028.0037.ec.fits: ap = 55, w1 = 5355.698, w2 = 5242.749, dw = -0.06845, nw = 1651 141028.0037.ec.fits: ap = 56, w1 = 5306.116, w2 = 5194.215, dw = -0.06782, nw = 1651 141028.0037.ec.fits: ap = 57, w1 = 5257.444, w2 = 5146.571, dw = -0.0672, nw = 1651 141028.0037.ec.fits: ap = 58, w1 = 5209.658, w2 = 5099.794, dw = -0.06658, nw = 1651 141028.0037.ec.fits: ap = 59, w1 = 5162.732, w2 = 5053.86, dw = -0.06598, nw = 1651 141028.0037.ec.fits: ap = 60, w1 = 5116.645, w2 = 5008.746, dw = -0.06539, nw = 1651 141028.0037.ec.fits: ap = 61, w1 = 5071.373, w2 = 4964.43, dw = -0.06481, nw = 1651 141028.0037.ec.fits: ap = 62, w1 = 5026.895, w2 = 4920.892, dw = -0.06424, nw = 1651 141028.0037.ec.fits: ap = 63, w1 = 4983.191, w2 = 4878.112, dw = -0.06368, nw = 1651 141028.0037.ec.fits: ap = 64, w1 = 4940.241, w2 = 4836.069, dw = -0.06313, nw = 1651 141028.0037.ec.fits: ap = 65, w1 = 4898.025, w2 = 4794.744, dw = -0.06259, nw = 1651 141028.0037.ec.fits: ap = 66, w1 = 4856.524, w2 = 4754.121, dw = -0.06206, nw = 1651 141028.0037.ec.fits: ap = 67, w1 = 4815.721, w2 = 4714.18, dw = -0.06154, nw = 1651 141028.0037.ec.fits: ap = 68, w1 = 4775.598, w2 = 4674.904, dw = -0.06103, nw = 1651 141028.0037.ec.fits: ap = 69, w1 = 4736.138, w2 = 4636.278, dw = -0.06052, nw = 1651 141028.0037.ec.fits: ap = 70, w1 = 4697.325, w2 = 4598.286, dw = -0.06002, nw = 1651 141028.0037.ec.fits: ap = 71, w1 = 4659.143, w2 = 4560.911, dw = -0.05953, nw = 1651 141028.0037.ec.fits: ap = 72, w1 = 4621.576, w2 = 4524.139, dw = -0.05905, nw = 1651 141028.0037.ec.fits: ap = 73, w1 = 4584.611, w2 = 4487.955, dw = -0.05858, nw = 1651 141028.0037.ec.fits: ap = 74, w1 = 4548.233, w2 = 4452.346, dw = -0.05811, nw = 1651 141028.0037.ec.fits: ap = 75, w1 = 4512.427, w2 = 4417.298, dw = -0.05765, nw = 1651 141028.0037.ec.fits: ap = 76, w1 = 4477.18, w2 = 4382.797, dw = -0.0572, nw = 1651 141028.0037.ec.fits: ap = 77, w1 = 4442.48, w2 = 4348.831, dw = -0.05676, nw = 1651 141028.0037.ec.fits: ap = 78, w1 = 4408.314, w2 = 4315.388, dw = -0.05632, nw = 1651 141028.0037.ec.fits: ap = 79, w1 = 4374.669, w2 = 4282.455, dw = -0.05589, nw = 1651 141028.0037.ec.fits: ap = 80, w1 = 4341.533, w2 = 4250.021, dw = -0.05546, nw = 1651 141028.0037.ec.fits: ap = 81, w1 = 4308.896, w2 = 4218.075, dw = -0.05504, nw = 1651 141028.0037.ec.fits: ap = 82, w1 = 4276.746, w2 = 4186.607, dw = -0.05463, nw = 1651 141028.0037.ec.fits: ap = 83, w1 = 4245.073, w2 = 4155.604, dw = -0.05422, nw = 1651 141028.0037.ec.fits: ap = 84, w1 = 4213.864, w2 = 4125.057, dw = -0.05382, nw = 1651 141028.0037.ec.fits: ap = 85, w1 = 4183.112, w2 = 4094.957, dw = -0.05343, nw = 1651 141028.0037.ec.fits: ap = 86, w1 = 4152.804, w2 = 4065.292, dw = -0.05304, nw = 1651 141028.0037.ec.fits: ap = 87, w1 = 4122.932, w2 = 4036.054, dw = -0.05265, nw = 1651 141028.0037.ec.fits: ap = 88, w1 = 4093.487, w2 = 4007.234, dw = -0.05227, nw = 1651 141028.0037.ec.fits: ap = 89, w1 = 4064.459, w2 = 3978.822, dw = -0.0519, nw = 1651 141028.0037.ec.fits: ap = 90, w1 = 4035.84, w2 = 3950.811, dw = -0.05153, nw = 1651 141028.0037.ec.fits: ap = 91, w1 = 4007.621, w2 = 3923.192, dw = -0.05117, nw = 1651 141028.0037.ec.fits: ap = 92, w1 = 3979.793, w2 = 3895.956, dw = -0.05081, nw = 1651 141028.0037.ec.fits: ap = 93, w1 = 3952.349, w2 = 3869.095, dw = -0.05046, nw = 1651 141028.0037.ec.fits: ap = 94, w1 = 3925.28, w2 = 3842.603, dw = -0.05011, nw = 1651 141028.0037.ec.fits: ap = 95, w1 = 3898.58, w2 = 3816.471, dw = -0.04976, nw = 1651 141028.0037.ec.fits: ap = 96, w1 = 3872.24, w2 = 3790.692, dw = -0.04942, nw = 1651 141028.0037.ec.fits: ap = 97, w1 = 3846.253, w2 = 3765.259, dw = -0.04909, nw = 1651 141028.0037.ec.fits: ap = 98, w1 = 3820.612, w2 = 3740.165, dw = -0.04876, nw = 1651 141028.0037.ec.fits: ap = 99, w1 = 3795.311, w2 = 3715.404, dw = -0.04843, nw = 1651 141028.0037.ec.fits: ap = 100, w1 = 3770.341, w2 = 3690.968, dw = -0.0481, nw = 1651 141028.0037.ec.fits: ap = 101, w1 = 3745.698, w2 = 3666.852, dw = -0.04779, nw = 1651 141028.0037.ec.fits: ap = 102, w1 = 3721.375, w2 = 3643.048, dw = -0.04747, nw = 1651 141028.0037.ec.fits: ap = 103, w1 = 3697.364, w2 = 3619.552, dw = -0.04716, nw = 1651 141028.0037.ec.fits: ap = 104, w1 = 3673.662, w2 = 3596.357, dw = -0.04685, nw = 1651 141028.0037.ec.fits: ap = 105, w1 = 3650.26, w2 = 3573.457, dw = -0.04655, nw = 1651 141028.0037.ec.fits: ap = 106, w1 = 3627.154, w2 = 3550.847, dw = -0.04625, nw = 1651 141028.0037.ec.fits: ap = 107, w1 = 3604.339, w2 = 3528.522, dw = -0.04595, nw = 1651 141028.0037.ec.fits: ap = 108, w1 = 3581.808, w2 = 3506.475, dw = -0.04566, nw = 1651 141028.0037.ec.fits: ap = 109, w1 = 3559.556, w2 = 3484.702, dw = -0.04537, nw = 1651 141028.0037.ec.fits: ap = 110, w1 = 3537.578, w2 = 3463.198, dw = -0.04508, nw = 1651 141028.0037.ec.fits: ap = 111, w1 = 3515.87, w2 = 3441.957, dw = -0.0448, nw = 1651 141028.0037.ec.fits: ap = 112, w1 = 3494.426, w2 = 3420.976, dw = -0.04452, nw = 1651 141028.0037.ec.fits: ap = 113, w1 = 3473.24, w2 = 3400.248, dw = -0.04424, nw = 1651 141028.0037.ec.fits: ap = 114, w1 = 3452.31, w2 = 3379.77, dw = -0.04396, nw = 1651 141028.0037.ec.fits: ap = 115, w1 = 3431.629, w2 = 3359.538, dw = -0.04369, nw = 1651 141028.0038.ec.fits: REFSPEC1 = 'EchelleThAr.0036.ec 0.42736554' 141028.0038.ec.fits: REFSPEC2 = 'EchelleThAr.0040.ec 0.57263446' 141028.0038.ec.fits: ap = 1, w1 = 10811.61, w2 = 10583.46, dw = -0.13827, nw = 1651 141028.0038.ec.fits: ap = 2, w1 = 10611.42, w2 = 10387.49, dw = -0.13571, nw = 1651 141028.0038.ec.fits: ap = 3, w1 = 10418.5, w2 = 10198.65, dw = -0.13325, nw = 1651 141028.0038.ec.fits: ap = 4, w1 = 10232.48, w2 = 10016.54, dw = -0.13087, nw = 1651 141028.0038.ec.fits: ap = 5, w1 = 10052.98, w2 = 9840.831, dw = -0.12857, nw = 1651 141028.0038.ec.fits: ap = 6, w1 = 9879.664, w2 = 9671.177, dw = -0.12636, nw = 1651 141028.0038.ec.fits: ap = 7, w1 = 9712.228, w2 = 9507.274, dw = -0.12421, nw = 1651 141028.0038.ec.fits: ap = 8, w1 = 9550.373, w2 = 9348.835, dw = -0.12214, nw = 1651 141028.0038.ec.fits: ap = 9, w1 = 9393.823, w2 = 9195.59, dw = -0.12014, nw = 1651 141028.0038.ec.fits: ap = 10, w1 = 9242.324, w2 = 9047.288, dw = -0.1182, nw = 1651 141028.0038.ec.fits: ap = 11, w1 = 9095.634, w2 = 8903.695, dw = -0.11633, nw = 1651 141028.0038.ec.fits: ap = 12, w1 = 8953.527, w2 = 8764.588, dw = -0.11451, nw = 1651 141028.0038.ec.fits: ap = 13, w1 = 8815.793, w2 = 8629.762, dw = -0.11275, nw = 1651 141028.0038.ec.fits: ap = 14, w1 = 8682.232, w2 = 8499.021, dw = -0.11104, nw = 1651 141028.0038.ec.fits: ap = 15, w1 = 8552.658, w2 = 8372.183, dw = -0.10938, nw = 1651 141028.0038.ec.fits: ap = 16, w1 = 8426.895, w2 = 8249.076, dw = -0.10777, nw = 1651 141028.0038.ec.fits: ap = 17, w1 = 8304.777, w2 = 8129.536, dw = -0.10621, nw = 1651 141028.0038.ec.fits: ap = 18, w1 = 8186.149, w2 = 8013.413, dw = -0.10469, nw = 1651 141028.0038.ec.fits: ap = 19, w1 = 8070.861, w2 = 7900.56, dw = -0.10321, nw = 1651 141028.0038.ec.fits: ap = 20, w1 = 7958.776, w2 = 7790.842, dw = -0.10178, nw = 1651 141028.0038.ec.fits: ap = 21, w1 = 7849.761, w2 = 7684.13, dw = -0.10038, nw = 1651 141028.0038.ec.fits: ap = 22, w1 = 7743.693, w2 = 7580.302, dw = -0.09903, nw = 1651 141028.0038.ec.fits: ap = 23, w1 = 7640.453, w2 = 7479.243, dw = -0.0977, nw = 1651 141028.0038.ec.fits: ap = 24, w1 = 7539.931, w2 = 7380.843, dw = -0.09642, nw = 1651 141028.0038.ec.fits: ap = 25, w1 = 7442.019, w2 = 7285., dw = -0.09516, nw = 1651 141028.0038.ec.fits: ap = 26, w1 = 7346.618, w2 = 7191.613, dw = -0.09394, nw = 1651 141028.0038.ec.fits: ap = 27, w1 = 7253.632, w2 = 7100.591, dw = -0.09275, nw = 1651 141028.0038.ec.fits: ap = 28, w1 = 7162.97, w2 = 7011.845, dw = -0.09159, nw = 1651 141028.0038.ec.fits: ap = 29, w1 = 7074.547, w2 = 6925.29, dw = -0.09046, nw = 1651 141028.0038.ec.fits: ap = 30, w1 = 6988.281, w2 = 6840.846, dw = -0.08935, nw = 1651 141028.0038.ec.fits: ap = 31, w1 = 6904.094, w2 = 6758.437, dw = -0.08828, nw = 1651 141028.0038.ec.fits: ap = 32, w1 = 6821.911, w2 = 6677.99, dw = -0.08722, nw = 1651 141028.0038.ec.fits: ap = 33, w1 = 6741.662, w2 = 6599.436, dw = -0.0862, nw = 1651 141028.0038.ec.fits: ap = 34, w1 = 6663.279, w2 = 6522.709, dw = -0.08519, nw = 1651 141028.0038.ec.fits: ap = 35, w1 = 6586.698, w2 = 6447.746, dw = -0.08421, nw = 1651 141028.0038.ec.fits: ap = 36, w1 = 6511.857, w2 = 6374.487, dw = -0.08326, nw = 1651 141028.0038.ec.fits: ap = 37, w1 = 6438.699, w2 = 6302.873, dw = -0.08232, nw = 1651 141028.0038.ec.fits: ap = 38, w1 = 6367.166, w2 = 6232.852, dw = -0.0814, nw = 1651 141028.0038.ec.fits: ap = 39, w1 = 6297.206, w2 = 6164.369, dw = -0.08051, nw = 1651 141028.0038.ec.fits: ap = 40, w1 = 6228.766, w2 = 6097.375, dw = -0.07963, nw = 1651 141028.0038.ec.fits: ap = 41, w1 = 6161.799, w2 = 6031.822, dw = -0.07877, nw = 1651 141028.0038.ec.fits: ap = 42, w1 = 6096.256, w2 = 5967.664, dw = -0.07793, nw = 1651 141028.0038.ec.fits: ap = 43, w1 = 6032.093, w2 = 5904.857, dw = -0.07711, nw = 1651 141028.0038.ec.fits: ap = 44, w1 = 5969.267, w2 = 5843.358, dw = -0.07631, nw = 1651 141028.0038.ec.fits: ap = 45, w1 = 5907.737, w2 = 5783.127, dw = -0.07552, nw = 1651 141028.0038.ec.fits: ap = 46, w1 = 5847.462, w2 = 5724.126, dw = -0.07475, nw = 1651 141028.0038.ec.fits: ap = 47, w1 = 5788.405, w2 = 5666.316, dw = -0.07399, nw = 1651 141028.0038.ec.fits: ap = 48, w1 = 5730.529, w2 = 5609.663, dw = -0.07325, nw = 1651 141028.0038.ec.fits: ap = 49, w1 = 5673.8, w2 = 5554.132, dw = -0.07253, nw = 1651 141028.0038.ec.fits: ap = 50, w1 = 5618.183, w2 = 5499.69, dw = -0.07181, nw = 1651 141028.0038.ec.fits: ap = 51, w1 = 5563.646, w2 = 5446.305, dw = -0.07112, nw = 1651 141028.0038.ec.fits: ap = 52, w1 = 5510.157, w2 = 5393.946, dw = -0.07043, nw = 1651 141028.0038.ec.fits: ap = 53, w1 = 5457.688, w2 = 5342.585, dw = -0.06976, nw = 1651 141028.0038.ec.fits: ap = 54, w1 = 5406.209, w2 = 5292.193, dw = -0.0691, nw = 1651 141028.0038.ec.fits: ap = 55, w1 = 5355.691, w2 = 5242.743, dw = -0.06845, nw = 1651 141028.0038.ec.fits: ap = 56, w1 = 5306.11, w2 = 5194.209, dw = -0.06782, nw = 1651 141028.0038.ec.fits: ap = 57, w1 = 5257.438, w2 = 5146.566, dw = -0.0672, nw = 1651 141028.0038.ec.fits: ap = 58, w1 = 5209.652, w2 = 5099.788, dw = -0.06658, nw = 1651 141028.0038.ec.fits: ap = 59, w1 = 5162.726, w2 = 5053.854, dw = -0.06598, nw = 1651 141028.0038.ec.fits: ap = 60, w1 = 5116.638, w2 = 5008.74, dw = -0.06539, nw = 1651 141028.0038.ec.fits: ap = 61, w1 = 5071.367, w2 = 4964.425, dw = -0.06481, nw = 1651 141028.0038.ec.fits: ap = 62, w1 = 5026.889, w2 = 4920.887, dw = -0.06424, nw = 1651 141028.0038.ec.fits: ap = 63, w1 = 4983.185, w2 = 4878.106, dw = -0.06368, nw = 1651 141028.0038.ec.fits: ap = 64, w1 = 4940.234, w2 = 4836.063, dw = -0.06313, nw = 1651 141028.0038.ec.fits: ap = 65, w1 = 4898.018, w2 = 4794.739, dw = -0.06259, nw = 1651 141028.0038.ec.fits: ap = 66, w1 = 4856.517, w2 = 4754.115, dw = -0.06206, nw = 1651 141028.0038.ec.fits: ap = 67, w1 = 4815.714, w2 = 4714.174, dw = -0.06154, nw = 1651 141028.0038.ec.fits: ap = 68, w1 = 4775.591, w2 = 4674.899, dw = -0.06103, nw = 1651 141028.0038.ec.fits: ap = 69, w1 = 4736.131, w2 = 4636.273, dw = -0.06052, nw = 1651 141028.0038.ec.fits: ap = 70, w1 = 4697.317, w2 = 4598.28, dw = -0.06002, nw = 1651 141028.0038.ec.fits: ap = 71, w1 = 4659.135, w2 = 4560.905, dw = -0.05953, nw = 1651 141028.0038.ec.fits: ap = 72, w1 = 4621.569, w2 = 4524.133, dw = -0.05905, nw = 1651 141028.0038.ec.fits: ap = 73, w1 = 4584.604, w2 = 4487.949, dw = -0.05858, nw = 1651 141028.0038.ec.fits: ap = 74, w1 = 4548.225, w2 = 4452.34, dw = -0.05811, nw = 1651 141028.0038.ec.fits: ap = 75, w1 = 4512.419, w2 = 4417.292, dw = -0.05765, nw = 1651 141028.0038.ec.fits: ap = 76, w1 = 4477.173, w2 = 4382.791, dw = -0.0572, nw = 1651 141028.0038.ec.fits: ap = 77, w1 = 4442.473, w2 = 4348.825, dw = -0.05676, nw = 1651 141028.0038.ec.fits: ap = 78, w1 = 4408.307, w2 = 4315.381, dw = -0.05632, nw = 1651 141028.0038.ec.fits: ap = 79, w1 = 4374.662, w2 = 4282.449, dw = -0.05589, nw = 1651 141028.0038.ec.fits: ap = 80, w1 = 4341.526, w2 = 4250.015, dw = -0.05546, nw = 1651 141028.0038.ec.fits: ap = 81, w1 = 4308.89, w2 = 4218.069, dw = -0.05504, nw = 1651 141028.0038.ec.fits: ap = 82, w1 = 4276.74, w2 = 4186.6, dw = -0.05463, nw = 1651 141028.0038.ec.fits: ap = 83, w1 = 4245.066, w2 = 4155.597, dw = -0.05422, nw = 1651 141028.0038.ec.fits: ap = 84, w1 = 4213.858, w2 = 4125.05, dw = -0.05382, nw = 1651 141028.0038.ec.fits: ap = 85, w1 = 4183.105, w2 = 4094.949, dw = -0.05343, nw = 1651 141028.0038.ec.fits: ap = 86, w1 = 4152.798, w2 = 4065.284, dw = -0.05304, nw = 1651 141028.0038.ec.fits: ap = 87, w1 = 4122.927, w2 = 4036.046, dw = -0.05266, nw = 1651 141028.0038.ec.fits: ap = 88, w1 = 4093.482, w2 = 4007.226, dw = -0.05228, nw = 1651 141028.0038.ec.fits: ap = 89, w1 = 4064.455, w2 = 3978.814, dw = -0.0519, nw = 1651 141028.0038.ec.fits: ap = 90, w1 = 4035.836, w2 = 3950.803, dw = -0.05154, nw = 1651 141028.0038.ec.fits: ap = 91, w1 = 4007.618, w2 = 3923.183, dw = -0.05117, nw = 1651 141028.0038.ec.fits: ap = 92, w1 = 3979.791, w2 = 3895.947, dw = -0.05081, nw = 1651 141028.0038.ec.fits: ap = 93, w1 = 3952.347, w2 = 3869.087, dw = -0.05046, nw = 1651 141028.0038.ec.fits: ap = 94, w1 = 3925.28, w2 = 3842.594, dw = -0.05011, nw = 1651 141028.0038.ec.fits: ap = 95, w1 = 3898.58, w2 = 3816.462, dw = -0.04977, nw = 1651 141028.0038.ec.fits: ap = 96, w1 = 3872.241, w2 = 3790.684, dw = -0.04943, nw = 1651 141028.0038.ec.fits: ap = 97, w1 = 3846.255, w2 = 3765.251, dw = -0.04909, nw = 1651 141028.0038.ec.fits: ap = 98, w1 = 3820.615, w2 = 3740.157, dw = -0.04876, nw = 1651 141028.0038.ec.fits: ap = 99, w1 = 3795.315, w2 = 3715.395, dw = -0.04844, nw = 1651 141028.0038.ec.fits: ap = 100, w1 = 3770.347, w2 = 3690.959, dw = -0.04811, nw = 1651 141028.0038.ec.fits: ap = 101, w1 = 3745.705, w2 = 3666.843, dw = -0.0478, nw = 1651 141028.0038.ec.fits: ap = 102, w1 = 3721.383, w2 = 3643.04, dw = -0.04748, nw = 1651 141028.0038.ec.fits: ap = 103, w1 = 3697.374, w2 = 3619.543, dw = -0.04717, nw = 1651 141028.0038.ec.fits: ap = 104, w1 = 3673.673, w2 = 3596.348, dw = -0.04686, nw = 1651 141028.0038.ec.fits: ap = 105, w1 = 3650.274, w2 = 3573.449, dw = -0.04656, nw = 1651 141028.0038.ec.fits: ap = 106, w1 = 3627.17, w2 = 3550.839, dw = -0.04626, nw = 1651 141028.0038.ec.fits: ap = 107, w1 = 3604.356, w2 = 3528.513, dw = -0.04597, nw = 1651 141028.0038.ec.fits: ap = 108, w1 = 3581.827, w2 = 3506.467, dw = -0.04567, nw = 1651 141028.0038.ec.fits: ap = 109, w1 = 3559.578, w2 = 3484.694, dw = -0.04538, nw = 1651 141028.0038.ec.fits: ap = 110, w1 = 3537.602, w2 = 3463.19, dw = -0.0451, nw = 1651 141028.0038.ec.fits: ap = 111, w1 = 3515.896, w2 = 3441.95, dw = -0.04482, nw = 1651 141028.0038.ec.fits: ap = 112, w1 = 3494.454, w2 = 3420.968, dw = -0.04454, nw = 1651 141028.0038.ec.fits: ap = 113, w1 = 3473.272, w2 = 3400.241, dw = -0.04426, nw = 1651 141028.0038.ec.fits: ap = 114, w1 = 3452.344, w2 = 3379.764, dw = -0.04399, nw = 1651 141028.0038.ec.fits: ap = 115, w1 = 3431.666, w2 = 3359.531, dw = -0.04372, nw = 1651 141028.0039.ec.fits: REFSPEC1 = 'EchelleThAr.0036.ec 0.1789189' 141028.0039.ec.fits: REFSPEC2 = 'EchelleThAr.0040.ec 0.8210811' 141028.0039.ec.fits: ap = 1, w1 = 10811.62, w2 = 10583.47, dw = -0.13827, nw = 1651 141028.0039.ec.fits: ap = 2, w1 = 10611.42, w2 = 10387.49, dw = -0.13572, nw = 1651 141028.0039.ec.fits: ap = 3, w1 = 10418.5, w2 = 10198.65, dw = -0.13325, nw = 1651 141028.0039.ec.fits: ap = 4, w1 = 10232.48, w2 = 10016.54, dw = -0.13087, nw = 1651 141028.0039.ec.fits: ap = 5, w1 = 10052.97, w2 = 9840.828, dw = -0.12857, nw = 1651 141028.0039.ec.fits: ap = 6, w1 = 9879.661, w2 = 9671.173, dw = -0.12636, nw = 1651 141028.0039.ec.fits: ap = 7, w1 = 9712.223, w2 = 9507.269, dw = -0.12421, nw = 1651 141028.0039.ec.fits: ap = 8, w1 = 9550.367, w2 = 9348.828, dw = -0.12214, nw = 1651 141028.0039.ec.fits: ap = 9, w1 = 9393.817, w2 = 9195.583, dw = -0.12014, nw = 1651 141028.0039.ec.fits: ap = 10, w1 = 9242.316, w2 = 9047.28, dw = -0.1182, nw = 1651 141028.0039.ec.fits: ap = 11, w1 = 9095.625, w2 = 8903.686, dw = -0.11633, nw = 1651 141028.0039.ec.fits: ap = 12, w1 = 8953.518, w2 = 8764.579, dw = -0.11451, nw = 1651 141028.0039.ec.fits: ap = 13, w1 = 8815.783, w2 = 8629.752, dw = -0.11275, nw = 1651 141028.0039.ec.fits: ap = 14, w1 = 8682.222, w2 = 8499.011, dw = -0.11104, nw = 1651 141028.0039.ec.fits: ap = 15, w1 = 8552.648, w2 = 8372.173, dw = -0.10938, nw = 1651 141028.0039.ec.fits: ap = 16, w1 = 8426.885, w2 = 8249.065, dw = -0.10777, nw = 1651 141028.0039.ec.fits: ap = 17, w1 = 8304.767, w2 = 8129.526, dw = -0.10621, nw = 1651 141028.0039.ec.fits: ap = 18, w1 = 8186.138, w2 = 8013.402, dw = -0.10469, nw = 1651 141028.0039.ec.fits: ap = 19, w1 = 8070.85, w2 = 7900.549, dw = -0.10321, nw = 1651 141028.0039.ec.fits: ap = 20, w1 = 7958.765, w2 = 7790.831, dw = -0.10178, nw = 1651 141028.0039.ec.fits: ap = 21, w1 = 7849.751, w2 = 7684.119, dw = -0.10038, nw = 1651 141028.0039.ec.fits: ap = 22, w1 = 7743.683, w2 = 7580.291, dw = -0.09903, nw = 1651 141028.0039.ec.fits: ap = 23, w1 = 7640.443, w2 = 7479.232, dw = -0.0977, nw = 1651 141028.0039.ec.fits: ap = 24, w1 = 7539.921, w2 = 7380.832, dw = -0.09642, nw = 1651 141028.0039.ec.fits: ap = 25, w1 = 7442.009, w2 = 7284.989, dw = -0.09516, nw = 1651 141028.0039.ec.fits: ap = 26, w1 = 7346.608, w2 = 7191.603, dw = -0.09394, nw = 1651 141028.0039.ec.fits: ap = 27, w1 = 7253.622, w2 = 7100.581, dw = -0.09275, nw = 1651 141028.0039.ec.fits: ap = 28, w1 = 7162.961, w2 = 7011.835, dw = -0.09159, nw = 1651 141028.0039.ec.fits: ap = 29, w1 = 7074.538, w2 = 6925.28, dw = -0.09046, nw = 1651 141028.0039.ec.fits: ap = 30, w1 = 6988.272, w2 = 6840.836, dw = -0.08936, nw = 1651 141028.0039.ec.fits: ap = 31, w1 = 6904.085, w2 = 6758.427, dw = -0.08828, nw = 1651 141028.0039.ec.fits: ap = 32, w1 = 6821.903, w2 = 6677.981, dw = -0.08723, nw = 1651 141028.0039.ec.fits: ap = 33, w1 = 6741.654, w2 = 6599.427, dw = -0.0862, nw = 1651 141028.0039.ec.fits: ap = 34, w1 = 6663.271, w2 = 6522.7, dw = -0.08519, nw = 1651 141028.0039.ec.fits: ap = 35, w1 = 6586.69, w2 = 6447.737, dw = -0.08421, nw = 1651 141028.0039.ec.fits: ap = 36, w1 = 6511.85, w2 = 6374.478, dw = -0.08326, nw = 1651 141028.0039.ec.fits: ap = 37, w1 = 6438.692, w2 = 6302.865, dw = -0.08232, nw = 1651 141028.0039.ec.fits: ap = 38, w1 = 6367.16, w2 = 6232.844, dw = -0.0814, nw = 1651 141028.0039.ec.fits: ap = 39, w1 = 6297.199, w2 = 6164.362, dw = -0.08051, nw = 1651 141028.0039.ec.fits: ap = 40, w1 = 6228.76, w2 = 6097.368, dw = -0.07963, nw = 1651 141028.0039.ec.fits: ap = 41, w1 = 6161.793, w2 = 6031.815, dw = -0.07877, nw = 1651 141028.0039.ec.fits: ap = 42, w1 = 6096.25, w2 = 5967.657, dw = -0.07794, nw = 1651 141028.0039.ec.fits: ap = 43, w1 = 6032.088, w2 = 5904.85, dw = -0.07711, nw = 1651 141028.0039.ec.fits: ap = 44, w1 = 5969.262, w2 = 5843.352, dw = -0.07631, nw = 1651 141028.0039.ec.fits: ap = 45, w1 = 5907.731, w2 = 5783.121, dw = -0.07552, nw = 1651 141028.0039.ec.fits: ap = 46, w1 = 5847.457, w2 = 5724.12, dw = -0.07475, nw = 1651 141028.0039.ec.fits: ap = 47, w1 = 5788.4, w2 = 5666.311, dw = -0.07399, nw = 1651 141028.0039.ec.fits: ap = 48, w1 = 5730.524, w2 = 5609.658, dw = -0.07325, nw = 1651 141028.0039.ec.fits: ap = 49, w1 = 5673.795, w2 = 5554.127, dw = -0.07253, nw = 1651 141028.0039.ec.fits: ap = 50, w1 = 5618.178, w2 = 5499.684, dw = -0.07181, nw = 1651 141028.0039.ec.fits: ap = 51, w1 = 5563.641, w2 = 5446.299, dw = -0.07112, nw = 1651 141028.0039.ec.fits: ap = 52, w1 = 5510.152, w2 = 5393.941, dw = -0.07043, nw = 1651 141028.0039.ec.fits: ap = 53, w1 = 5457.683, w2 = 5342.58, dw = -0.06976, nw = 1651 141028.0039.ec.fits: ap = 54, w1 = 5406.204, w2 = 5292.188, dw = -0.0691, nw = 1651 141028.0039.ec.fits: ap = 55, w1 = 5355.687, w2 = 5242.739, dw = -0.06845, nw = 1651 141028.0039.ec.fits: ap = 56, w1 = 5306.105, w2 = 5194.205, dw = -0.06782, nw = 1651 141028.0039.ec.fits: ap = 57, w1 = 5257.434, w2 = 5146.561, dw = -0.0672, nw = 1651 141028.0039.ec.fits: ap = 58, w1 = 5209.647, w2 = 5099.784, dw = -0.06658, nw = 1651 141028.0039.ec.fits: ap = 59, w1 = 5162.721, w2 = 5053.85, dw = -0.06598, nw = 1651 141028.0039.ec.fits: ap = 60, w1 = 5116.633, w2 = 5008.736, dw = -0.06539, nw = 1651 141028.0039.ec.fits: ap = 61, w1 = 5071.361, w2 = 4964.42, dw = -0.06481, nw = 1651 141028.0039.ec.fits: ap = 62, w1 = 5026.884, w2 = 4920.883, dw = -0.06424, nw = 1651 141028.0039.ec.fits: ap = 63, w1 = 4983.18, w2 = 4878.102, dw = -0.06368, nw = 1651 141028.0039.ec.fits: ap = 64, w1 = 4940.229, w2 = 4836.059, dw = -0.06313, nw = 1651 141028.0039.ec.fits: ap = 65, w1 = 4898.013, w2 = 4794.735, dw = -0.06259, nw = 1651 141028.0039.ec.fits: ap = 66, w1 = 4856.512, w2 = 4754.111, dw = -0.06206, nw = 1651 141028.0039.ec.fits: ap = 67, w1 = 4815.708, w2 = 4714.17, dw = -0.06154, nw = 1651 141028.0039.ec.fits: ap = 68, w1 = 4775.585, w2 = 4674.895, dw = -0.06102, nw = 1651 141028.0039.ec.fits: ap = 69, w1 = 4736.125, w2 = 4636.269, dw = -0.06052, nw = 1651 141028.0039.ec.fits: ap = 70, w1 = 4697.312, w2 = 4598.276, dw = -0.06002, nw = 1651 141028.0039.ec.fits: ap = 71, w1 = 4659.13, w2 = 4560.901, dw = -0.05953, nw = 1651 141028.0039.ec.fits: ap = 72, w1 = 4621.563, w2 = 4524.129, dw = -0.05905, nw = 1651 141028.0039.ec.fits: ap = 73, w1 = 4584.598, w2 = 4487.945, dw = -0.05858, nw = 1651 141028.0039.ec.fits: ap = 74, w1 = 4548.219, w2 = 4452.335, dw = -0.05811, nw = 1651 141028.0039.ec.fits: ap = 75, w1 = 4512.413, w2 = 4417.287, dw = -0.05765, nw = 1651 141028.0039.ec.fits: ap = 76, w1 = 4477.167, w2 = 4382.786, dw = -0.0572, nw = 1651 141028.0039.ec.fits: ap = 77, w1 = 4442.467, w2 = 4348.82, dw = -0.05676, nw = 1651 141028.0039.ec.fits: ap = 78, w1 = 4408.301, w2 = 4315.376, dw = -0.05632, nw = 1651 141028.0039.ec.fits: ap = 79, w1 = 4374.656, w2 = 4282.444, dw = -0.05589, nw = 1651 141028.0039.ec.fits: ap = 80, w1 = 4341.521, w2 = 4250.01, dw = -0.05546, nw = 1651 141028.0039.ec.fits: ap = 81, w1 = 4308.884, w2 = 4218.064, dw = -0.05504, nw = 1651 141028.0039.ec.fits: ap = 82, w1 = 4276.735, w2 = 4186.594, dw = -0.05463, nw = 1651 141028.0039.ec.fits: ap = 83, w1 = 4245.061, w2 = 4155.591, dw = -0.05422, nw = 1651 141028.0039.ec.fits: ap = 84, w1 = 4213.853, w2 = 4125.044, dw = -0.05382, nw = 1651 141028.0039.ec.fits: ap = 85, w1 = 4183.101, w2 = 4094.943, dw = -0.05343, nw = 1651 141028.0039.ec.fits: ap = 86, w1 = 4152.794, w2 = 4065.278, dw = -0.05304, nw = 1651 141028.0039.ec.fits: ap = 87, w1 = 4122.923, w2 = 4036.04, dw = -0.05266, nw = 1651 141028.0039.ec.fits: ap = 88, w1 = 4093.478, w2 = 4007.22, dw = -0.05228, nw = 1651 141028.0039.ec.fits: ap = 89, w1 = 4064.452, w2 = 3978.808, dw = -0.05191, nw = 1651 141028.0039.ec.fits: ap = 90, w1 = 4035.833, w2 = 3950.797, dw = -0.05154, nw = 1651 141028.0039.ec.fits: ap = 91, w1 = 4007.615, w2 = 3923.177, dw = -0.05117, nw = 1651 141028.0039.ec.fits: ap = 92, w1 = 3979.789, w2 = 3895.941, dw = -0.05082, nw = 1651 141028.0039.ec.fits: ap = 93, w1 = 3952.346, w2 = 3869.08, dw = -0.05046, nw = 1651 141028.0039.ec.fits: ap = 94, w1 = 3925.279, w2 = 3842.588, dw = -0.05012, nw = 1651 141028.0039.ec.fits: ap = 95, w1 = 3898.58, w2 = 3816.456, dw = -0.04977, nw = 1651 141028.0039.ec.fits: ap = 96, w1 = 3872.242, w2 = 3790.677, dw = -0.04943, nw = 1651 141028.0039.ec.fits: ap = 97, w1 = 3846.257, w2 = 3765.244, dw = -0.0491, nw = 1651 141028.0039.ec.fits: ap = 98, w1 = 3820.618, w2 = 3740.15, dw = -0.04877, nw = 1651 141028.0039.ec.fits: ap = 99, w1 = 3795.318, w2 = 3715.388, dw = -0.04844, nw = 1651 141028.0039.ec.fits: ap = 100, w1 = 3770.351, w2 = 3690.952, dw = -0.04812, nw = 1651 141028.0039.ec.fits: ap = 101, w1 = 3745.711, w2 = 3666.836, dw = -0.0478, nw = 1651 141028.0039.ec.fits: ap = 102, w1 = 3721.39, w2 = 3643.033, dw = -0.04749, nw = 1651 141028.0039.ec.fits: ap = 103, w1 = 3697.382, w2 = 3619.537, dw = -0.04718, nw = 1651 141028.0039.ec.fits: ap = 104, w1 = 3673.682, w2 = 3596.342, dw = -0.04687, nw = 1651 141028.0039.ec.fits: ap = 105, w1 = 3650.284, w2 = 3573.442, dw = -0.04657, nw = 1651 141028.0039.ec.fits: ap = 106, w1 = 3627.182, w2 = 3550.832, dw = -0.04627, nw = 1651 141028.0039.ec.fits: ap = 107, w1 = 3604.369, w2 = 3528.507, dw = -0.04598, nw = 1651 141028.0039.ec.fits: ap = 108, w1 = 3581.842, w2 = 3506.46, dw = -0.04569, nw = 1651 141028.0039.ec.fits: ap = 109, w1 = 3559.594, w2 = 3484.688, dw = -0.0454, nw = 1651 141028.0039.ec.fits: ap = 110, w1 = 3537.621, w2 = 3463.184, dw = -0.04511, nw = 1651 141028.0039.ec.fits: ap = 111, w1 = 3515.917, w2 = 3441.944, dw = -0.04483, nw = 1651 141028.0039.ec.fits: ap = 112, w1 = 3494.477, w2 = 3420.963, dw = -0.04455, nw = 1651 141028.0039.ec.fits: ap = 113, w1 = 3473.296, w2 = 3400.236, dw = -0.04428, nw = 1651 141028.0039.ec.fits: ap = 114, w1 = 3452.371, w2 = 3379.758, dw = -0.04401, nw = 1651 141028.0039.ec.fits: ap = 115, w1 = 3431.695, w2 = 3359.526, dw = -0.04374, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10811.82, w2 = 10583.56, dw = -0.13834, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10611.6, w2 = 10387.58, dw = -0.13577, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10418.67, w2 = 10198.73, dw = -0.1333, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10232.62, w2 = 10016.63, dw = -0.13091, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.11, w2 = 9840.91, dw = -0.1286, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9879.783, w2 = 9671.253, dw = -0.12638, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.335, w2 = 9507.347, dw = -0.12423, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.469, w2 = 9348.905, dw = -0.12216, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9393.911, w2 = 9195.658, dw = -0.12015, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.403, w2 = 9047.355, dw = -0.11821, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9095.706, w2 = 8903.759, dw = -0.11633, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8953.594, w2 = 8764.651, dw = -0.11451, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8815.855, w2 = 8629.823, dw = -0.11275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.29, w2 = 8499.081, dw = -0.11104, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8552.713, w2 = 8372.242, dw = -0.10938, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8426.947, w2 = 8249.133, dw = -0.10777, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8304.827, w2 = 8129.593, dw = -0.1062, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.196, w2 = 8013.468, dw = -0.10468, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8070.907, w2 = 7900.614, dw = -0.10321, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7958.821, w2 = 7790.895, dw = -0.10177, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7849.806, w2 = 7684.182, dw = -0.10038, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7743.737, w2 = 7580.353, dw = -0.09902, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.497, w2 = 7479.293, dw = -0.0977, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7539.974, w2 = 7380.893, dw = -0.09641, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.062, w2 = 7285.048, dw = -0.09516, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7346.66, w2 = 7191.661, dw = -0.09394, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7253.674, w2 = 7100.638, dw = -0.09275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.012, w2 = 7011.891, dw = -0.09159, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.589, w2 = 6925.335, dw = -0.09046, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.323, w2 = 6840.891, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.135, w2 = 6758.481, dw = -0.08828, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6821.951, w2 = 6678.033, dw = -0.08722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6741.702, w2 = 6599.478, dw = -0.0862, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.318, w2 = 6522.75, dw = -0.08519, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6586.737, w2 = 6447.786, dw = -0.08421, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6511.895, w2 = 6374.526, dw = -0.08325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6438.736, w2 = 6302.912, dw = -0.08232, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.202, w2 = 6232.89, dw = -0.0814, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.24, w2 = 6164.406, dw = -0.08051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6228.799, w2 = 6097.411, dw = -0.07963, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6161.83, w2 = 6031.857, dw = -0.07877, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.286, w2 = 5967.698, dw = -0.07793, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.122, w2 = 5904.89, dw = -0.07711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.294, w2 = 5843.39, dw = -0.07631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5907.761, w2 = 5783.159, dw = -0.07552, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.484, w2 = 5724.156, dw = -0.07474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.425, w2 = 5666.346, dw = -0.07399, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.547, w2 = 5609.692, dw = -0.07325, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5673.816, w2 = 5554.16, dw = -0.07252, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.196, w2 = 5499.717, dw = -0.07181, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.657, w2 = 5446.331, dw = -0.07111, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.166, w2 = 5393.972, dw = -0.07042, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.61, dw = -0.06975, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.212, w2 = 5292.217, dw = -0.06909, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.693, w2 = 5242.766, dw = -0.06844, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.109, w2 = 5194.232, dw = -0.0678, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.435, w2 = 5146.588, dw = -0.06718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.646, w2 = 5099.81, dw = -0.06657, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5162.719, w2 = 5053.875, dw = -0.06597, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.629, w2 = 5008.761, dw = -0.06537, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.355, w2 = 4964.445, dw = -0.06479, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5026.876, w2 = 4920.907, dw = -0.06422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.171, w2 = 4878.126, dw = -0.06366, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.219, w2 = 4836.082, dw = -0.06311, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.002, w2 = 4794.758, dw = -0.06257, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.5, w2 = 4754.134, dw = -0.06204, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4815.697, w2 = 4714.193, dw = -0.06152, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.573, w2 = 4674.918, dw = -0.061, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.113, w2 = 4636.293, dw = -0.0605, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.301, w2 = 4598.3, dw = -0.06, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.12, w2 = 4560.926, dw = -0.05951, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.555, w2 = 4524.155, dw = -0.05903, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.591, w2 = 4487.972, dw = -0.05856, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.215, w2 = 4452.363, dw = -0.05809, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.412, w2 = 4417.316, dw = -0.05763, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.169, w2 = 4382.816, dw = -0.05718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.473, w2 = 4348.852, dw = -0.05674, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.311, w2 = 4315.41, dw = -0.0563, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.671, w2 = 4282.479, dw = -0.05587, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.542, w2 = 4250.047, dw = -0.05545, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4308.911, w2 = 4218.103, dw = -0.05504, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4276.768, w2 = 4186.636, dw = -0.05463, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.635, dw = -0.05422, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4213.902, w2 = 4125.091, dw = -0.05383, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.159, w2 = 4094.993, dw = -0.05343, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4152.862, w2 = 4065.331, dw = -0.05305, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.001, w2 = 4036.096, dw = -0.05267, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.569, w2 = 4007.279, dw = -0.0523, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.554, w2 = 3978.871, dw = -0.05193, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4035.949, w2 = 3950.864, dw = -0.05157, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.745, w2 = 3923.248, dw = -0.05121, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3979.933, w2 = 3896.017, dw = -0.05086, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.507, w2 = 3869.161, dw = -0.05051, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.457, w2 = 3842.673, dw = -0.05017, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.776, w2 = 3816.547, dw = -0.04984, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.456, w2 = 3790.773, dw = -0.04951, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.492, w2 = 3765.346, dw = -0.04918, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.874, w2 = 3740.258, dw = -0.04886, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.597, w2 = 3715.503, dw = -0.04854, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.654, w2 = 3691.073, dw = -0.04823, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3746.038, w2 = 3666.964, dw = -0.04792, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.743, w2 = 3643.168, dw = -0.04762, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.763, w2 = 3619.679, dw = -0.04732, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3674.092, w2 = 3596.492, dw = -0.04703, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.723, w2 = 3573.6, dw = -0.04674, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.652, w2 = 3550.999, dw = -0.04646, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.873, w2 = 3528.682, dw = -0.04618, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.38, w2 = 3506.645, dw = -0.0459, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3560.168, w2 = 3484.882, dw = -0.04563, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3538.231, w2 = 3463.388, dw = -0.04536, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.566, w2 = 3442.158, dw = -0.0451, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3495.166, w2 = 3421.187, dw = -0.04484, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3474.027, w2 = 3400.471, dw = -0.04458, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3453.145, w2 = 3380.005, dw = -0.04433, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3432.515, w2 = 3359.784, dw = -0.04408, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10811.66, w2 = 10583.49, dw = -0.13828, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10611.46, w2 = 10387.53, dw = -0.13572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10418.55, w2 = 10198.69, dw = -0.13325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10232.52, w2 = 10016.59, dw = -0.13087, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.881, dw = -0.12857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9879.716, w2 = 9671.231, dw = -0.12635, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.281, w2 = 9507.332, dw = -0.12421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.426, w2 = 9348.895, dw = -0.12214, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9393.878, w2 = 9195.653, dw = -0.12014, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.379, w2 = 9047.354, dw = -0.1182, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9095.689, w2 = 8903.762, dw = -0.11632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8953.584, w2 = 8764.656, dw = -0.1145, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8815.85, w2 = 8629.831, dw = -0.11274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.289, w2 = 8499.091, dw = -0.11103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8552.716, w2 = 8372.253, dw = -0.10937, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8426.953, w2 = 8249.146, dw = -0.10776, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8304.835, w2 = 8129.607, dw = -0.1062, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.206, w2 = 8013.482, dw = -0.10468, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8070.918, w2 = 7900.629, dw = -0.10321, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7958.833, w2 = 7790.911, dw = -0.10177, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7849.818, w2 = 7684.198, dw = -0.10038, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7743.75, w2 = 7580.369, dw = -0.09902, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.51, w2 = 7479.309, dw = -0.0977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7539.986, w2 = 7380.909, dw = -0.09641, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.074, w2 = 7285.064, dw = -0.09516, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7346.672, w2 = 7191.676, dw = -0.09394, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7253.685, w2 = 7100.653, dw = -0.09275, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.023, w2 = 7011.906, dw = -0.09159, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.6, w2 = 6925.349, dw = -0.09045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.333, w2 = 6840.904, dw = -0.08935, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.145, w2 = 6758.494, dw = -0.08827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6821.961, w2 = 6678.046, dw = -0.08722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6741.711, w2 = 6599.491, dw = -0.08619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.327, w2 = 6522.762, dw = -0.08519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6586.746, w2 = 6447.798, dw = -0.08421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6511.904, w2 = 6374.537, dw = -0.08325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6438.745, w2 = 6302.923, dw = -0.08232, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.211, w2 = 6232.9, dw = -0.0814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.25, w2 = 6164.417, dw = -0.0805, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6228.81, w2 = 6097.422, dw = -0.07963, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6161.841, w2 = 6031.868, dw = -0.07877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.297, w2 = 5967.709, dw = -0.07793, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.134, w2 = 5904.901, dw = -0.07711, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.307, w2 = 5843.401, dw = -0.07631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5907.775, w2 = 5783.17, dw = -0.07552, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.5, w2 = 5724.167, dw = -0.07475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.442, w2 = 5666.357, dw = -0.07399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.565, w2 = 5609.704, dw = -0.07325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5673.835, w2 = 5554.172, dw = -0.07252, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.217, w2 = 5499.729, dw = -0.07181, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.679, w2 = 5446.343, dw = -0.07111, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.19, w2 = 5393.985, dw = -0.07043, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5457.719, w2 = 5342.623, dw = -0.06976, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.239, w2 = 5292.231, dw = -0.0691, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5355.721, w2 = 5242.781, dw = -0.06845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.139, w2 = 5194.246, dw = -0.06781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.467, w2 = 5146.603, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.679, w2 = 5099.825, dw = -0.06658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5162.753, w2 = 5053.891, dw = -0.06598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.664, w2 = 5008.777, dw = -0.06539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.392, w2 = 4964.462, dw = -0.06481, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5026.914, w2 = 4920.924, dw = -0.06424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.209, w2 = 4878.143, dw = -0.06368, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.258, w2 = 4836.1, dw = -0.06313, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.041, w2 = 4794.776, dw = -0.06258, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.54, w2 = 4754.152, dw = -0.06205, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4815.736, w2 = 4714.211, dw = -0.06153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.612, w2 = 4674.936, dw = -0.06102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.152, w2 = 4636.31, dw = -0.06051, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.338, w2 = 4598.318, dw = -0.06001, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.156, w2 = 4560.943, dw = -0.05952, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.589, w2 = 4524.171, dw = -0.05904, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.624, w2 = 4487.987, dw = -0.05857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.245, w2 = 4452.378, dw = -0.0581, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.439, w2 = 4417.329, dw = -0.05764, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.193, w2 = 4382.829, dw = -0.05719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.493, w2 = 4348.863, dw = -0.05675, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.326, w2 = 4315.419, dw = -0.05631, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.682, w2 = 4282.486, dw = -0.05588, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.547, w2 = 4250.053, dw = -0.05545, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4308.91, w2 = 4218.106, dw = -0.05503, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4276.76, w2 = 4186.637, dw = -0.05462, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.087, w2 = 4155.634, dw = -0.05421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4213.879, w2 = 4125.086, dw = -0.05381, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.127, w2 = 4094.985, dw = -0.05342, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4152.82, w2 = 4065.32, dw = -0.05303, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4122.95, w2 = 4036.081, dw = -0.05265, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.506, w2 = 4007.26, dw = -0.05227, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.479, w2 = 3978.848, dw = -0.0519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4035.861, w2 = 3950.836, dw = -0.05153, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.643, w2 = 3923.215, dw = -0.05117, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3979.817, w2 = 3895.978, dw = -0.05081, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.375, w2 = 3869.116, dw = -0.05046, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.309, w2 = 3842.623, dw = -0.05011, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.61, w2 = 3816.489, dw = -0.04977, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.272, w2 = 3790.709, dw = -0.04943, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.288, w2 = 3765.274, dw = -0.0491, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.649, w2 = 3740.178, dw = -0.04877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.35, w2 = 3715.415, dw = -0.04845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.384, w2 = 3690.977, dw = -0.04813, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.744, w2 = 3666.858, dw = -0.04781, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.423, w2 = 3643.052, dw = -0.0475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.417, w2 = 3619.553, dw = -0.04719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.717, w2 = 3596.356, dw = -0.04689, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.32, w2 = 3573.453, dw = -0.04659, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.218, w2 = 3550.84, dw = -0.04629, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.406, w2 = 3528.511, dw = -0.046, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3581.88, w2 = 3506.461, dw = -0.04571, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.632, w2 = 3484.684, dw = -0.04542, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.66, w2 = 3463.176, dw = -0.04514, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3515.956, w2 = 3441.932, dw = -0.04486, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.517, w2 = 3420.946, dw = -0.04459, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.337, w2 = 3400.214, dw = -0.04432, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.412, w2 = 3379.732, dw = -0.04405, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.737, w2 = 3359.494, dw = -0.04378, nw = 1651 EchelleThAr.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0019.ec 1.' zEchelleThAr.0019.ec.fits: ap = 1, w1 = 10811.73, w2 = 10583.53, dw = -0.1383, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 2, w1 = 10611.53, w2 = 10387.56, dw = -0.13574, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 3, w1 = 10418.61, w2 = 10198.72, dw = -0.13327, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 4, w1 = 10232.57, w2 = 10016.61, dw = -0.13088, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 5, w1 = 10053.07, w2 = 9840.9, dw = -0.12859, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 6, w1 = 9879.75, w2 = 9671.246, dw = -0.12637, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 7, w1 = 9712.309, w2 = 9507.343, dw = -0.12422, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 8, w1 = 9550.449, w2 = 9348.904, dw = -0.12215, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 9, w1 = 9393.897, w2 = 9195.659, dw = -0.12014, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 10, w1 = 9242.394, w2 = 9047.357, dw = -0.1182, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 11, w1 = 9095.701, w2 = 8903.763, dw = -0.11633, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 12, w1 = 8953.592, w2 = 8764.656, dw = -0.11451, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 13, w1 = 8815.856, w2 = 8629.83, dw = -0.11274, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 14, w1 = 8682.293, w2 = 8499.088, dw = -0.11103, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 15, w1 = 8552.718, w2 = 8372.25, dw = -0.10937, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 16, w1 = 8426.953, w2 = 8249.142, dw = -0.10776, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 17, w1 = 8304.834, w2 = 8129.603, dw = -0.1062, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 18, w1 = 8186.204, w2 = 8013.478, dw = -0.10468, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 19, w1 = 8070.916, w2 = 7900.625, dw = -0.10321, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 20, w1 = 7958.83, w2 = 7790.907, dw = -0.10177, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 21, w1 = 7849.815, w2 = 7684.194, dw = -0.10038, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 22, w1 = 7743.746, w2 = 7580.366, dw = -0.09902, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 23, w1 = 7640.506, w2 = 7479.306, dw = -0.0977, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 24, w1 = 7539.983, w2 = 7380.906, dw = -0.09641, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 25, w1 = 7442.07, w2 = 7285.061, dw = -0.09516, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 26, w1 = 7346.669, w2 = 7191.675, dw = -0.09394, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 27, w1 = 7253.682, w2 = 7100.652, dw = -0.09275, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 28, w1 = 7163.02, w2 = 7011.905, dw = -0.09159, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 29, w1 = 7074.597, w2 = 6925.349, dw = -0.09045, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 30, w1 = 6988.33, w2 = 6840.905, dw = -0.08935, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 31, w1 = 6904.142, w2 = 6758.495, dw = -0.08827, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 32, w1 = 6821.959, w2 = 6678.047, dw = -0.08722, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 33, w1 = 6741.709, w2 = 6599.492, dw = -0.08619, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 34, w1 = 6663.325, w2 = 6522.764, dw = -0.08519, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 35, w1 = 6586.744, w2 = 6447.8, dw = -0.08421, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 36, w1 = 6511.903, w2 = 6374.54, dw = -0.08325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 37, w1 = 6438.743, w2 = 6302.926, dw = -0.08231, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 38, w1 = 6367.21, w2 = 6232.904, dw = -0.0814, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 39, w1 = 6297.249, w2 = 6164.421, dw = -0.0805, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 40, w1 = 6228.808, w2 = 6097.426, dw = -0.07963, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 41, w1 = 6161.84, w2 = 6031.872, dw = -0.07877, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 42, w1 = 6096.296, w2 = 5967.713, dw = -0.07793, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 43, w1 = 6032.132, w2 = 5904.905, dw = -0.07711, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 44, w1 = 5969.305, w2 = 5843.405, dw = -0.0763, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 45, w1 = 5907.774, w2 = 5783.174, dw = -0.07552, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 46, w1 = 5847.498, w2 = 5724.172, dw = -0.07474, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 47, w1 = 5788.44, w2 = 5666.361, dw = -0.07399, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 48, w1 = 5730.563, w2 = 5609.707, dw = -0.07325, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 49, w1 = 5673.832, w2 = 5554.175, dw = -0.07252, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 50, w1 = 5618.214, w2 = 5499.732, dw = -0.07181, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 51, w1 = 5563.676, w2 = 5446.346, dw = -0.07111, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 52, w1 = 5510.186, w2 = 5393.987, dw = -0.07042, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 53, w1 = 5457.716, w2 = 5342.626, dw = -0.06975, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 54, w1 = 5406.235, w2 = 5292.233, dw = -0.06909, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 55, w1 = 5355.717, w2 = 5242.783, dw = -0.06845, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 56, w1 = 5306.135, w2 = 5194.248, dw = -0.06781, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 57, w1 = 5257.462, w2 = 5146.604, dw = -0.06719, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 58, w1 = 5209.675, w2 = 5099.826, dw = -0.06657, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 59, w1 = 5162.748, w2 = 5053.891, dw = -0.06597, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 60, w1 = 5116.66, w2 = 5008.777, dw = -0.06538, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 61, w1 = 5071.387, w2 = 4964.461, dw = -0.0648, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 62, w1 = 5026.909, w2 = 4920.923, dw = -0.06423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 63, w1 = 4983.204, w2 = 4878.142, dw = -0.06367, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 64, w1 = 4940.254, w2 = 4836.098, dw = -0.06312, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 65, w1 = 4898.037, w2 = 4794.774, dw = -0.06258, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 66, w1 = 4856.536, w2 = 4754.15, dw = -0.06205, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 67, w1 = 4815.733, w2 = 4714.209, dw = -0.06153, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 68, w1 = 4775.61, w2 = 4674.934, dw = -0.06102, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 69, w1 = 4736.15, w2 = 4636.308, dw = -0.06051, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 70, w1 = 4697.337, w2 = 4598.315, dw = -0.06001, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 71, w1 = 4659.156, w2 = 4560.94, dw = -0.05952, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 72, w1 = 4621.591, w2 = 4524.168, dw = -0.05904, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 73, w1 = 4584.626, w2 = 4487.985, dw = -0.05857, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 74, w1 = 4548.249, w2 = 4452.376, dw = -0.05811, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 75, w1 = 4512.445, w2 = 4417.328, dw = -0.05765, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 76, w1 = 4477.2, w2 = 4382.827, dw = -0.0572, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 77, w1 = 4442.502, w2 = 4348.862, dw = -0.05675, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 78, w1 = 4408.338, w2 = 4315.419, dw = -0.05631, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 79, w1 = 4374.696, w2 = 4282.487, dw = -0.05588, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 80, w1 = 4341.564, w2 = 4250.054, dw = -0.05546, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 81, w1 = 4308.93, w2 = 4218.109, dw = -0.05504, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 82, w1 = 4276.784, w2 = 4186.641, dw = -0.05463, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 83, w1 = 4245.114, w2 = 4155.639, dw = -0.05423, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 84, w1 = 4213.91, w2 = 4125.094, dw = -0.05383, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 85, w1 = 4183.162, w2 = 4094.994, dw = -0.05344, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 86, w1 = 4152.859, w2 = 4065.33, dw = -0.05305, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 87, w1 = 4122.993, w2 = 4036.094, dw = -0.05267, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 88, w1 = 4093.554, w2 = 4007.275, dw = -0.05229, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 89, w1 = 4064.533, w2 = 3978.865, dw = -0.05192, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 90, w1 = 4035.921, w2 = 3950.856, dw = -0.05155, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 91, w1 = 4007.709, w2 = 3923.238, dw = -0.05119, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 92, w1 = 3979.889, w2 = 3896.004, dw = -0.05084, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 93, w1 = 3952.454, w2 = 3869.146, dw = -0.05049, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 94, w1 = 3925.394, w2 = 3842.656, dw = -0.05014, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 95, w1 = 3898.704, w2 = 3816.526, dw = -0.0498, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 96, w1 = 3872.374, w2 = 3790.75, dw = -0.04947, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 97, w1 = 3846.397, w2 = 3765.32, dw = -0.04914, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 98, w1 = 3820.768, w2 = 3740.229, dw = -0.04881, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 99, w1 = 3795.478, w2 = 3715.47, dw = -0.04849, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 100, w1 = 3770.522, w2 = 3691.037, dw = -0.04817, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 101, w1 = 3745.892, w2 = 3666.924, dw = -0.04786, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 102, w1 = 3721.582, w2 = 3643.124, dw = -0.04755, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 103, w1 = 3697.586, w2 = 3619.632, dw = -0.04725, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 104, w1 = 3673.899, w2 = 3596.44, dw = -0.04694, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 105, w1 = 3650.513, w2 = 3573.544, dw = -0.04665, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 106, w1 = 3627.424, w2 = 3550.939, dw = -0.04635, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 107, w1 = 3604.626, w2 = 3528.617, dw = -0.04607, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 108, w1 = 3582.113, w2 = 3506.575, dw = -0.04578, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 109, w1 = 3559.88, w2 = 3484.807, dw = -0.0455, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 110, w1 = 3537.923, w2 = 3463.307, dw = -0.04522, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 111, w1 = 3516.235, w2 = 3442.072, dw = -0.04495, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 112, w1 = 3494.812, w2 = 3421.095, dw = -0.04468, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 113, w1 = 3473.649, w2 = 3400.373, dw = -0.04441, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 114, w1 = 3452.741, w2 = 3379.901, dw = -0.04415, nw = 1651 zEchelleThAr.0019.ec.fits: ap = 115, w1 = 3432.085, w2 = 3359.674, dw = -0.04389, nw = 1651 EchelleThAr.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0020.ec 1.' zEchelleThAr.0020.ec.fits: ap = 1, w1 = 10811.74, w2 = 10583.57, dw = -0.13828, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 2, w1 = 10611.54, w2 = 10387.6, dw = -0.13572, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 3, w1 = 10418.61, w2 = 10198.75, dw = -0.13325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 4, w1 = 10232.58, w2 = 10016.64, dw = -0.13087, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 5, w1 = 10053.08, w2 = 9840.928, dw = -0.12858, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 6, w1 = 9879.763, w2 = 9671.272, dw = -0.12636, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 7, w1 = 9712.323, w2 = 9507.367, dw = -0.12422, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 8, w1 = 9550.464, w2 = 9348.925, dw = -0.12214, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 9, w1 = 9393.912, w2 = 9195.678, dw = -0.12014, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 10, w1 = 9242.41, w2 = 9047.375, dw = -0.1182, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 11, w1 = 9095.717, w2 = 8903.78, dw = -0.11633, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 12, w1 = 8953.608, w2 = 8764.672, dw = -0.11451, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 13, w1 = 8815.872, w2 = 8629.844, dw = -0.11274, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 14, w1 = 8682.309, w2 = 8499.102, dw = -0.11103, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 15, w1 = 8552.733, w2 = 8372.263, dw = -0.10938, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 16, w1 = 8426.969, w2 = 8249.154, dw = -0.10777, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 17, w1 = 8304.849, w2 = 8129.613, dw = -0.1062, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 18, w1 = 8186.219, w2 = 8013.488, dw = -0.10469, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 19, w1 = 8070.93, w2 = 7900.634, dw = -0.10321, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 20, w1 = 7958.844, w2 = 7790.915, dw = -0.10177, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 21, w1 = 7849.828, w2 = 7684.202, dw = -0.10038, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 22, w1 = 7743.759, w2 = 7580.373, dw = -0.09902, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 23, w1 = 7640.518, w2 = 7479.313, dw = -0.0977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 24, w1 = 7539.994, w2 = 7380.913, dw = -0.09641, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 25, w1 = 7442.081, w2 = 7285.068, dw = -0.09516, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 26, w1 = 7346.679, w2 = 7191.681, dw = -0.09394, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 27, w1 = 7253.692, w2 = 7100.658, dw = -0.09275, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 28, w1 = 7163.03, w2 = 7011.911, dw = -0.09159, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 29, w1 = 7074.606, w2 = 6925.355, dw = -0.09046, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 30, w1 = 6988.339, w2 = 6840.91, dw = -0.08935, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 31, w1 = 6904.151, w2 = 6758.5, dw = -0.08827, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 32, w1 = 6821.967, w2 = 6678.052, dw = -0.08722, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 33, w1 = 6741.717, w2 = 6599.498, dw = -0.08619, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 34, w1 = 6663.333, w2 = 6522.77, dw = -0.08519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 35, w1 = 6586.752, w2 = 6447.806, dw = -0.08421, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 36, w1 = 6511.91, w2 = 6374.545, dw = -0.08325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 37, w1 = 6438.751, w2 = 6302.932, dw = -0.08231, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 38, w1 = 6367.218, w2 = 6232.909, dw = -0.0814, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 39, w1 = 6297.256, w2 = 6164.426, dw = -0.0805, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 40, w1 = 6228.816, w2 = 6097.431, dw = -0.07963, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 41, w1 = 6161.847, w2 = 6031.878, dw = -0.07877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 42, w1 = 6096.304, w2 = 5967.719, dw = -0.07793, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 43, w1 = 6032.14, w2 = 5904.911, dw = -0.07711, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 44, w1 = 5969.314, w2 = 5843.411, dw = -0.0763, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 45, w1 = 5907.782, w2 = 5783.18, dw = -0.07552, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 46, w1 = 5847.507, w2 = 5724.177, dw = -0.07474, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 47, w1 = 5788.449, w2 = 5666.367, dw = -0.07399, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 48, w1 = 5730.572, w2 = 5609.713, dw = -0.07325, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 49, w1 = 5673.842, w2 = 5554.182, dw = -0.07252, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 50, w1 = 5618.224, w2 = 5499.739, dw = -0.07181, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 51, w1 = 5563.686, w2 = 5446.353, dw = -0.07111, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 52, w1 = 5510.197, w2 = 5393.994, dw = -0.07043, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 53, w1 = 5457.727, w2 = 5342.632, dw = -0.06975, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 54, w1 = 5406.246, w2 = 5292.24, dw = -0.0691, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 55, w1 = 5355.729, w2 = 5242.789, dw = -0.06845, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 56, w1 = 5306.146, w2 = 5194.254, dw = -0.06781, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 57, w1 = 5257.474, w2 = 5146.61, dw = -0.06719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 58, w1 = 5209.686, w2 = 5099.833, dw = -0.06658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 59, w1 = 5162.76, w2 = 5053.898, dw = -0.06598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 60, w1 = 5116.672, w2 = 5008.783, dw = -0.06539, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 61, w1 = 5071.399, w2 = 4964.467, dw = -0.06481, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 62, w1 = 5026.921, w2 = 4920.929, dw = -0.06424, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 63, w1 = 4983.216, w2 = 4878.148, dw = -0.06368, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 64, w1 = 4940.265, w2 = 4836.105, dw = -0.06313, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 65, w1 = 4898.048, w2 = 4794.78, dw = -0.06259, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 66, w1 = 4856.547, w2 = 4754.156, dw = -0.06206, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 67, w1 = 4815.744, w2 = 4714.215, dw = -0.06153, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 68, w1 = 4775.62, w2 = 4674.939, dw = -0.06102, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 69, w1 = 4736.16, w2 = 4636.313, dw = -0.06051, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 70, w1 = 4697.346, w2 = 4598.32, dw = -0.06002, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 71, w1 = 4659.164, w2 = 4560.945, dw = -0.05953, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 72, w1 = 4621.597, w2 = 4524.173, dw = -0.05905, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 73, w1 = 4584.632, w2 = 4487.989, dw = -0.05857, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 74, w1 = 4548.254, w2 = 4452.379, dw = -0.05811, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 75, w1 = 4512.448, w2 = 4417.331, dw = -0.05765, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 76, w1 = 4477.202, w2 = 4382.83, dw = -0.05719, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 77, w1 = 4442.502, w2 = 4348.864, dw = -0.05675, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 78, w1 = 4408.336, w2 = 4315.421, dw = -0.05631, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 79, w1 = 4374.692, w2 = 4282.489, dw = -0.05588, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 80, w1 = 4341.558, w2 = 4250.055, dw = -0.05546, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 81, w1 = 4308.922, w2 = 4218.11, dw = -0.05504, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 82, w1 = 4276.773, w2 = 4186.641, dw = -0.05463, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 83, w1 = 4245.1, w2 = 4155.638, dw = -0.05422, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 84, w1 = 4213.893, w2 = 4125.092, dw = -0.05382, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 85, w1 = 4183.141, w2 = 4094.991, dw = -0.05342, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 86, w1 = 4152.836, w2 = 4065.327, dw = -0.05304, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 87, w1 = 4122.966, w2 = 4036.09, dw = -0.05265, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 88, w1 = 4093.523, w2 = 4007.27, dw = -0.05227, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 89, w1 = 4064.497, w2 = 3978.86, dw = -0.0519, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 90, w1 = 4035.881, w2 = 3950.849, dw = -0.05153, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 91, w1 = 4007.664, w2 = 3923.231, dw = -0.05117, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 92, w1 = 3979.84, w2 = 3895.996, dw = -0.05081, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 93, w1 = 3952.399, w2 = 3869.136, dw = -0.05046, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 94, w1 = 3925.334, w2 = 3842.645, dw = -0.05011, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 95, w1 = 3898.637, w2 = 3816.514, dw = -0.04977, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 96, w1 = 3872.301, w2 = 3790.737, dw = -0.04943, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 97, w1 = 3846.318, w2 = 3765.305, dw = -0.0491, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 98, w1 = 3820.682, w2 = 3740.213, dw = -0.04877, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 99, w1 = 3795.385, w2 = 3715.453, dw = -0.04844, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 100, w1 = 3770.421, w2 = 3691.019, dw = -0.04812, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 101, w1 = 3745.783, w2 = 3666.904, dw = -0.04781, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 102, w1 = 3721.465, w2 = 3643.103, dw = -0.04749, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 103, w1 = 3697.461, w2 = 3619.609, dw = -0.04718, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 104, w1 = 3673.764, w2 = 3596.416, dw = -0.04688, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 105, w1 = 3650.37, w2 = 3573.519, dw = -0.04658, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 106, w1 = 3627.271, w2 = 3550.911, dw = -0.04628, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 107, w1 = 3604.463, w2 = 3528.588, dw = -0.04598, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 108, w1 = 3581.939, w2 = 3506.544, dw = -0.04569, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 109, w1 = 3559.696, w2 = 3484.774, dw = -0.04541, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 110, w1 = 3537.727, w2 = 3463.273, dw = -0.04512, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 111, w1 = 3516.027, w2 = 3442.035, dw = -0.04484, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 112, w1 = 3494.592, w2 = 3421.057, dw = -0.04457, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 113, w1 = 3473.416, w2 = 3400.333, dw = -0.04429, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 114, w1 = 3452.496, w2 = 3379.859, dw = -0.04402, nw = 1651 zEchelleThAr.0020.ec.fits: ap = 115, w1 = 3431.825, w2 = 3359.63, dw = -0.04375, nw = 1651 EchelleThAr.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 1.' zEchelleThAr.0024.ec.fits: ap = 1, w1 = 10811.68, w2 = 10583.55, dw = -0.13826, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 2, w1 = 10611.48, w2 = 10387.57, dw = -0.1357, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.72, dw = -0.13324, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 4, w1 = 10232.54, w2 = 10016.62, dw = -0.13086, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 5, w1 = 10053.03, w2 = 9840.904, dw = -0.12856, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 6, w1 = 9879.722, w2 = 9671.248, dw = -0.12635, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 7, w1 = 9712.284, w2 = 9507.342, dw = -0.12421, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 8, w1 = 9550.427, w2 = 9348.901, dw = -0.12214, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 9, w1 = 9393.877, w2 = 9195.654, dw = -0.12014, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 10, w1 = 9242.377, w2 = 9047.35, dw = -0.1182, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 11, w1 = 9095.686, w2 = 8903.755, dw = -0.11632, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 12, w1 = 8953.578, w2 = 8764.647, dw = -0.1145, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 13, w1 = 8815.844, w2 = 8629.819, dw = -0.11274, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 14, w1 = 8682.282, w2 = 8499.077, dw = -0.11103, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 15, w1 = 8552.708, w2 = 8372.238, dw = -0.10938, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 16, w1 = 8426.944, w2 = 8249.129, dw = -0.10777, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 17, w1 = 8304.826, w2 = 8129.589, dw = -0.1062, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 18, w1 = 8186.196, w2 = 8013.464, dw = -0.10469, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 19, w1 = 8070.909, w2 = 7900.611, dw = -0.10321, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 20, w1 = 7958.823, w2 = 7790.892, dw = -0.10178, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 21, w1 = 7849.808, w2 = 7684.179, dw = -0.10038, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 22, w1 = 7743.74, w2 = 7580.35, dw = -0.09902, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 23, w1 = 7640.5, w2 = 7479.291, dw = -0.0977, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 24, w1 = 7539.976, w2 = 7380.89, dw = -0.09642, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 25, w1 = 7442.064, w2 = 7285.046, dw = -0.09516, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 26, w1 = 7346.662, w2 = 7191.659, dw = -0.09394, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 27, w1 = 7253.675, w2 = 7100.637, dw = -0.09275, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 28, w1 = 7163.014, w2 = 7011.89, dw = -0.09159, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 29, w1 = 7074.59, w2 = 6925.334, dw = -0.09046, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 30, w1 = 6988.323, w2 = 6840.889, dw = -0.08935, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 31, w1 = 6904.135, w2 = 6758.48, dw = -0.08828, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 32, w1 = 6821.952, w2 = 6678.032, dw = -0.08722, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 33, w1 = 6741.702, w2 = 6599.478, dw = -0.0862, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 34, w1 = 6663.318, w2 = 6522.75, dw = -0.08519, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 35, w1 = 6586.737, w2 = 6447.787, dw = -0.08421, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 36, w1 = 6511.896, w2 = 6374.527, dw = -0.08325, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 37, w1 = 6438.736, w2 = 6302.913, dw = -0.08232, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 38, w1 = 6367.203, w2 = 6232.891, dw = -0.0814, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 39, w1 = 6297.242, w2 = 6164.408, dw = -0.08051, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 40, w1 = 6228.801, w2 = 6097.414, dw = -0.07963, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 41, w1 = 6161.833, w2 = 6031.86, dw = -0.07877, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 42, w1 = 6096.289, w2 = 5967.701, dw = -0.07793, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 43, w1 = 6032.126, w2 = 5904.893, dw = -0.07711, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 44, w1 = 5969.299, w2 = 5843.394, dw = -0.07631, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 45, w1 = 5907.767, w2 = 5783.163, dw = -0.07552, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 46, w1 = 5847.492, w2 = 5724.161, dw = -0.07475, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 47, w1 = 5788.434, w2 = 5666.351, dw = -0.07399, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 48, w1 = 5730.558, w2 = 5609.697, dw = -0.07325, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 49, w1 = 5673.827, w2 = 5554.165, dw = -0.07252, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 50, w1 = 5618.209, w2 = 5499.723, dw = -0.07181, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 51, w1 = 5563.671, w2 = 5446.337, dw = -0.07111, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 52, w1 = 5510.182, w2 = 5393.978, dw = -0.07043, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 53, w1 = 5457.712, w2 = 5342.616, dw = -0.06975, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 54, w1 = 5406.232, w2 = 5292.224, dw = -0.0691, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 55, w1 = 5355.714, w2 = 5242.774, dw = -0.06845, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 56, w1 = 5306.132, w2 = 5194.239, dw = -0.06781, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 57, w1 = 5257.46, w2 = 5146.595, dw = -0.06719, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 58, w1 = 5209.672, w2 = 5099.817, dw = -0.06658, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 59, w1 = 5162.746, w2 = 5053.883, dw = -0.06598, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 60, w1 = 5116.658, w2 = 5008.768, dw = -0.06539, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 61, w1 = 5071.386, w2 = 4964.453, dw = -0.06481, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 62, w1 = 5026.908, w2 = 4920.914, dw = -0.06424, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 63, w1 = 4983.204, w2 = 4878.133, dw = -0.06368, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 64, w1 = 4940.253, w2 = 4836.09, dw = -0.06313, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 65, w1 = 4898.036, w2 = 4794.765, dw = -0.06259, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 66, w1 = 4856.536, w2 = 4754.141, dw = -0.06206, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 67, w1 = 4815.732, w2 = 4714.2, dw = -0.06153, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 68, w1 = 4775.609, w2 = 4674.925, dw = -0.06102, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 69, w1 = 4736.149, w2 = 4636.299, dw = -0.06052, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 70, w1 = 4697.336, w2 = 4598.306, dw = -0.06002, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 71, w1 = 4659.155, w2 = 4560.931, dw = -0.05953, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 72, w1 = 4621.589, w2 = 4524.158, dw = -0.05905, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 73, w1 = 4584.624, w2 = 4487.975, dw = -0.05858, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 74, w1 = 4548.247, w2 = 4452.366, dw = -0.05811, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 75, w1 = 4512.442, w2 = 4417.317, dw = -0.05765, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 76, w1 = 4477.196, w2 = 4382.816, dw = -0.0572, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 77, w1 = 4442.498, w2 = 4348.851, dw = -0.05676, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 78, w1 = 4408.333, w2 = 4315.408, dw = -0.05632, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 79, w1 = 4374.69, w2 = 4282.475, dw = -0.05589, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 80, w1 = 4341.556, w2 = 4250.042, dw = -0.05546, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 81, w1 = 4308.921, w2 = 4218.097, dw = -0.05505, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 82, w1 = 4276.773, w2 = 4186.628, dw = -0.05463, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 83, w1 = 4245.102, w2 = 4155.626, dw = -0.05423, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 84, w1 = 4213.896, w2 = 4125.079, dw = -0.05383, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 85, w1 = 4183.146, w2 = 4094.979, dw = -0.05343, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 86, w1 = 4152.841, w2 = 4065.315, dw = -0.05305, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 87, w1 = 4122.973, w2 = 4036.078, dw = -0.05266, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 88, w1 = 4093.532, w2 = 4007.259, dw = -0.05229, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 89, w1 = 4064.508, w2 = 3978.848, dw = -0.05191, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 90, w1 = 4035.893, w2 = 3950.838, dw = -0.05155, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 91, w1 = 4007.678, w2 = 3923.22, dw = -0.05119, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 92, w1 = 3979.855, w2 = 3895.985, dw = -0.05083, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 93, w1 = 3952.416, w2 = 3869.126, dw = -0.05048, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 94, w1 = 3925.353, w2 = 3842.636, dw = -0.05013, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 95, w1 = 3898.658, w2 = 3816.505, dw = -0.04979, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 96, w1 = 3872.324, w2 = 3790.728, dw = -0.04945, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 97, w1 = 3846.343, w2 = 3765.297, dw = -0.04912, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 98, w1 = 3820.709, w2 = 3740.205, dw = -0.04879, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 99, w1 = 3795.415, w2 = 3715.446, dw = -0.04847, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 100, w1 = 3770.453, w2 = 3691.012, dw = -0.04815, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 101, w1 = 3745.818, w2 = 3666.898, dw = -0.04783, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 102, w1 = 3721.502, w2 = 3643.098, dw = -0.04752, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 103, w1 = 3697.501, w2 = 3619.604, dw = -0.04721, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 104, w1 = 3673.807, w2 = 3596.412, dw = -0.04691, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 105, w1 = 3650.415, w2 = 3573.515, dw = -0.04661, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 106, w1 = 3627.319, w2 = 3550.909, dw = -0.04631, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 107, w1 = 3604.514, w2 = 3528.586, dw = -0.04602, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 108, w1 = 3581.993, w2 = 3506.543, dw = -0.04573, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 109, w1 = 3559.753, w2 = 3484.774, dw = -0.04544, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 110, w1 = 3537.787, w2 = 3463.274, dw = -0.04516, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 111, w1 = 3516.09, w2 = 3442.037, dw = -0.04488, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 112, w1 = 3494.658, w2 = 3421.06, dw = -0.04461, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 113, w1 = 3473.486, w2 = 3400.337, dw = -0.04433, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 114, w1 = 3452.569, w2 = 3379.864, dw = -0.04406, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 115, w1 = 3431.903, w2 = 3359.636, dw = -0.0438, nw = 1651 EchelleThAr.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 1.' zEchelleThAr.0029.ec.fits: ap = 1, w1 = 10811.67, w2 = 10583.48, dw = -0.1383, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 2, w1 = 10611.47, w2 = 10387.5, dw = -0.13573, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 3, w1 = 10418.54, w2 = 10198.66, dw = -0.13326, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 4, w1 = 10232.51, w2 = 10016.55, dw = -0.13088, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 5, w1 = 10053.01, w2 = 9840.839, dw = -0.12859, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 6, w1 = 9879.693, w2 = 9671.185, dw = -0.12637, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 7, w1 = 9712.254, w2 = 9507.281, dw = -0.12423, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 8, w1 = 9550.395, w2 = 9348.841, dw = -0.12215, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 9, w1 = 9393.843, w2 = 9195.595, dw = -0.12015, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 10, w1 = 9242.342, w2 = 9047.293, dw = -0.11821, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 11, w1 = 9095.65, w2 = 8903.699, dw = -0.11633, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 12, w1 = 8953.541, w2 = 8764.593, dw = -0.11451, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 13, w1 = 8815.806, w2 = 8629.766, dw = -0.11275, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 14, w1 = 8682.244, w2 = 8499.026, dw = -0.11104, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 15, w1 = 8552.669, w2 = 8372.188, dw = -0.10938, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 16, w1 = 8426.905, w2 = 8249.08, dw = -0.10777, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 17, w1 = 8304.786, w2 = 8129.541, dw = -0.10621, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 18, w1 = 8186.157, w2 = 8013.418, dw = -0.10469, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 19, w1 = 8070.869, w2 = 7900.565, dw = -0.10321, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 20, w1 = 7958.783, w2 = 7790.848, dw = -0.10178, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 21, w1 = 7849.769, w2 = 7684.136, dw = -0.10038, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 22, w1 = 7743.701, w2 = 7580.308, dw = -0.09903, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 23, w1 = 7640.461, w2 = 7479.25, dw = -0.0977, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 24, w1 = 7539.938, w2 = 7380.85, dw = -0.09642, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 25, w1 = 7442.026, w2 = 7285.007, dw = -0.09516, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 26, w1 = 7346.625, w2 = 7191.621, dw = -0.09394, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 27, w1 = 7253.639, w2 = 7100.599, dw = -0.09275, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 28, w1 = 7162.977, w2 = 7011.853, dw = -0.09159, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 29, w1 = 7074.555, w2 = 6925.298, dw = -0.09046, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 30, w1 = 6988.289, w2 = 6840.855, dw = -0.08935, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 31, w1 = 6904.101, w2 = 6758.446, dw = -0.08828, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 32, w1 = 6821.919, w2 = 6677.999, dw = -0.08722, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 33, w1 = 6741.669, w2 = 6599.445, dw = -0.0862, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 34, w1 = 6663.287, w2 = 6522.718, dw = -0.08519, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 35, w1 = 6586.706, w2 = 6447.755, dw = -0.08421, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 36, w1 = 6511.866, w2 = 6374.496, dw = -0.08325, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 37, w1 = 6438.707, w2 = 6302.883, dw = -0.08232, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 38, w1 = 6367.175, w2 = 6232.862, dw = -0.0814, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 39, w1 = 6297.214, w2 = 6164.379, dw = -0.08051, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 40, w1 = 6228.775, w2 = 6097.385, dw = -0.07963, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 41, w1 = 6161.807, w2 = 6031.832, dw = -0.07877, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 42, w1 = 6096.264, w2 = 5967.674, dw = -0.07793, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 43, w1 = 6032.101, w2 = 5904.866, dw = -0.07711, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 44, w1 = 5969.275, w2 = 5843.368, dw = -0.07631, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 45, w1 = 5907.745, w2 = 5783.137, dw = -0.07552, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 46, w1 = 5847.47, w2 = 5724.135, dw = -0.07475, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 47, w1 = 5788.413, w2 = 5666.325, dw = -0.07399, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 48, w1 = 5730.537, w2 = 5609.672, dw = -0.07325, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 49, w1 = 5673.807, w2 = 5554.14, dw = -0.07253, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 50, w1 = 5618.189, w2 = 5499.698, dw = -0.07181, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 51, w1 = 5563.652, w2 = 5446.312, dw = -0.07111, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 52, w1 = 5510.163, w2 = 5393.954, dw = -0.07043, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 53, w1 = 5457.694, w2 = 5342.592, dw = -0.06976, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 54, w1 = 5406.214, w2 = 5292.2, dw = -0.0691, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 55, w1 = 5355.696, w2 = 5242.75, dw = -0.06845, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 56, w1 = 5306.114, w2 = 5194.215, dw = -0.06782, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 57, w1 = 5257.442, w2 = 5146.572, dw = -0.06719, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 58, w1 = 5209.655, w2 = 5099.794, dw = -0.06658, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 59, w1 = 5162.729, w2 = 5053.859, dw = -0.06598, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 60, w1 = 5116.641, w2 = 5008.745, dw = -0.06539, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 61, w1 = 5071.368, w2 = 4964.429, dw = -0.06481, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 62, w1 = 5026.89, w2 = 4920.891, dw = -0.06424, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 63, w1 = 4983.186, w2 = 4878.11, dw = -0.06368, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 64, w1 = 4940.235, w2 = 4836.067, dw = -0.06313, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 65, w1 = 4898.018, w2 = 4794.742, dw = -0.06259, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 66, w1 = 4856.516, w2 = 4754.118, dw = -0.06206, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 67, w1 = 4815.713, w2 = 4714.177, dw = -0.06154, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 68, w1 = 4775.589, w2 = 4674.901, dw = -0.06102, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 69, w1 = 4736.128, w2 = 4636.275, dw = -0.06052, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 70, w1 = 4697.315, w2 = 4598.282, dw = -0.06002, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 71, w1 = 4659.132, w2 = 4560.907, dw = -0.05953, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 72, w1 = 4621.565, w2 = 4524.135, dw = -0.05905, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 73, w1 = 4584.599, w2 = 4487.951, dw = -0.05857, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 74, w1 = 4548.22, w2 = 4452.341, dw = -0.05811, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 75, w1 = 4512.414, w2 = 4417.293, dw = -0.05765, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 76, w1 = 4477.167, w2 = 4382.792, dw = -0.0572, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 77, w1 = 4442.467, w2 = 4348.826, dw = -0.05675, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 78, w1 = 4408.301, w2 = 4315.383, dw = -0.05631, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 79, w1 = 4374.656, w2 = 4282.45, dw = -0.05588, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 80, w1 = 4341.52, w2 = 4250.017, dw = -0.05546, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 81, w1 = 4308.883, w2 = 4218.071, dw = -0.05504, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 82, w1 = 4276.733, w2 = 4186.602, dw = -0.05463, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 83, w1 = 4245.06, w2 = 4155.6, dw = -0.05422, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 84, w1 = 4213.852, w2 = 4125.053, dw = -0.05382, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 85, w1 = 4183.099, w2 = 4094.953, dw = -0.05342, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 86, w1 = 4152.792, w2 = 4065.288, dw = -0.05303, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 87, w1 = 4122.921, w2 = 4036.051, dw = -0.05265, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 88, w1 = 4093.477, w2 = 4007.232, dw = -0.05227, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 89, w1 = 4064.45, w2 = 3978.821, dw = -0.0519, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 90, w1 = 4035.832, w2 = 3950.811, dw = -0.05153, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.192, dw = -0.05116, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 92, w1 = 3979.788, w2 = 3895.957, dw = -0.05081, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 93, w1 = 3952.346, w2 = 3869.098, dw = -0.05045, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 94, w1 = 3925.279, w2 = 3842.607, dw = -0.0501, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 95, w1 = 3898.58, w2 = 3816.477, dw = -0.04976, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 96, w1 = 3872.243, w2 = 3790.699, dw = -0.04942, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 97, w1 = 3846.258, w2 = 3765.268, dw = -0.04908, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 98, w1 = 3820.62, w2 = 3740.176, dw = -0.04875, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 99, w1 = 3795.321, w2 = 3715.416, dw = -0.04843, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 100, w1 = 3770.355, w2 = 3690.983, dw = -0.0481, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 101, w1 = 3745.715, w2 = 3666.868, dw = -0.04779, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 102, w1 = 3721.395, w2 = 3643.068, dw = -0.04747, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 103, w1 = 3697.389, w2 = 3619.574, dw = -0.04716, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 104, w1 = 3673.69, w2 = 3596.381, dw = -0.04685, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 105, w1 = 3650.293, w2 = 3573.485, dw = -0.04655, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 106, w1 = 3627.191, w2 = 3550.878, dw = -0.04625, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 107, w1 = 3604.381, w2 = 3528.555, dw = -0.04595, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 108, w1 = 3581.855, w2 = 3506.512, dw = -0.04566, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 109, w1 = 3559.608, w2 = 3484.743, dw = -0.04537, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 110, w1 = 3537.637, w2 = 3463.242, dw = -0.04509, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 111, w1 = 3515.934, w2 = 3442.006, dw = -0.04481, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 112, w1 = 3494.496, w2 = 3421.028, dw = -0.04453, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 113, w1 = 3473.317, w2 = 3400.305, dw = -0.04425, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 114, w1 = 3452.394, w2 = 3379.832, dw = -0.04398, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 115, w1 = 3431.721, w2 = 3359.604, dw = -0.04371, nw = 1651 EchelleThAr.0032.ec.fits: REFSPEC1 = 'EchelleThAr.0032.ec 1.' zEchelleThAr.0032.ec.fits: ap = 1, w1 = 10811.69, w2 = 10583.47, dw = -0.13832, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 2, w1 = 10611.49, w2 = 10387.49, dw = -0.13575, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 3, w1 = 10418.56, w2 = 10198.65, dw = -0.13328, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 4, w1 = 10232.53, w2 = 10016.55, dw = -0.1309, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 5, w1 = 10053.02, w2 = 9840.833, dw = -0.1286, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 6, w1 = 9879.7, w2 = 9671.179, dw = -0.12638, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 7, w1 = 9712.258, w2 = 9507.276, dw = -0.12423, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 8, w1 = 9550.397, w2 = 9348.837, dw = -0.12216, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 9, w1 = 9393.843, w2 = 9195.592, dw = -0.12015, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 10, w1 = 9242.339, w2 = 9047.291, dw = -0.11821, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 11, w1 = 9095.645, w2 = 8903.697, dw = -0.11633, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 12, w1 = 8953.536, w2 = 8764.59, dw = -0.11451, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 13, w1 = 8815.799, w2 = 8629.764, dw = -0.11275, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 14, w1 = 8682.237, w2 = 8499.023, dw = -0.11104, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 15, w1 = 8552.661, w2 = 8372.185, dw = -0.10938, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 16, w1 = 8426.896, w2 = 8249.078, dw = -0.10777, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 17, w1 = 8304.777, w2 = 8129.538, dw = -0.10621, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 18, w1 = 8186.147, w2 = 8013.415, dw = -0.10469, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 19, w1 = 8070.859, w2 = 7900.562, dw = -0.10321, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 20, w1 = 7958.774, w2 = 7790.844, dw = -0.10178, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 21, w1 = 7849.759, w2 = 7684.132, dw = -0.10038, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 22, w1 = 7743.691, w2 = 7580.304, dw = -0.09902, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 23, w1 = 7640.451, w2 = 7479.244, dw = -0.0977, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 24, w1 = 7539.929, w2 = 7380.845, dw = -0.09641, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 25, w1 = 7442.017, w2 = 7285.001, dw = -0.09516, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 26, w1 = 7346.616, w2 = 7191.614, dw = -0.09394, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 27, w1 = 7253.63, w2 = 7100.592, dw = -0.09275, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 28, w1 = 7162.969, w2 = 7011.846, dw = -0.09159, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 29, w1 = 7074.546, w2 = 6925.29, dw = -0.09046, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 30, w1 = 6988.281, w2 = 6840.846, dw = -0.08935, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 31, w1 = 6904.094, w2 = 6758.437, dw = -0.08828, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 32, w1 = 6821.911, w2 = 6677.99, dw = -0.08723, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 33, w1 = 6741.662, w2 = 6599.436, dw = -0.0862, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 34, w1 = 6663.28, w2 = 6522.708, dw = -0.08519, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 35, w1 = 6586.699, w2 = 6447.745, dw = -0.08421, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 36, w1 = 6511.859, w2 = 6374.485, dw = -0.08326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 37, w1 = 6438.701, w2 = 6302.872, dw = -0.08232, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 38, w1 = 6367.169, w2 = 6232.85, dw = -0.08141, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 39, w1 = 6297.208, w2 = 6164.367, dw = -0.08051, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 40, w1 = 6228.769, w2 = 6097.373, dw = -0.07963, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 41, w1 = 6161.802, w2 = 6031.82, dw = -0.07878, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 42, w1 = 6096.259, w2 = 5967.662, dw = -0.07794, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 43, w1 = 6032.096, w2 = 5904.854, dw = -0.07712, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 44, w1 = 5969.27, w2 = 5843.355, dw = -0.07631, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 45, w1 = 5907.74, w2 = 5783.124, dw = -0.07552, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 46, w1 = 5847.465, w2 = 5724.123, dw = -0.07475, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 47, w1 = 5788.408, w2 = 5666.313, dw = -0.074, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 48, w1 = 5730.532, w2 = 5609.66, dw = -0.07326, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 49, w1 = 5673.802, w2 = 5554.128, dw = -0.07253, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 50, w1 = 5618.185, w2 = 5499.686, dw = -0.07182, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 51, w1 = 5563.647, w2 = 5446.301, dw = -0.07112, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 52, w1 = 5510.159, w2 = 5393.942, dw = -0.07043, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 53, w1 = 5457.689, w2 = 5342.581, dw = -0.06976, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 54, w1 = 5406.209, w2 = 5292.189, dw = -0.0691, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 55, w1 = 5355.692, w2 = 5242.739, dw = -0.06846, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 56, w1 = 5306.11, w2 = 5194.205, dw = -0.06782, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 57, w1 = 5257.438, w2 = 5146.562, dw = -0.0672, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 58, w1 = 5209.651, w2 = 5099.785, dw = -0.06659, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 59, w1 = 5162.725, w2 = 5053.85, dw = -0.06598, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 60, w1 = 5116.637, w2 = 5008.736, dw = -0.06539, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 61, w1 = 5071.364, w2 = 4964.421, dw = -0.06481, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 62, w1 = 5026.886, w2 = 4920.884, dw = -0.06424, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 63, w1 = 4983.182, w2 = 4878.103, dw = -0.06368, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 64, w1 = 4940.231, w2 = 4836.06, dw = -0.06313, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 65, w1 = 4898.015, w2 = 4794.736, dw = -0.06259, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 66, w1 = 4856.514, w2 = 4754.113, dw = -0.06206, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 67, w1 = 4815.71, w2 = 4714.172, dw = -0.06154, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 68, w1 = 4775.587, w2 = 4674.898, dw = -0.06102, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 69, w1 = 4736.127, w2 = 4636.272, dw = -0.06052, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 70, w1 = 4697.314, w2 = 4598.28, dw = -0.06002, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 71, w1 = 4659.132, w2 = 4560.906, dw = -0.05953, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 72, w1 = 4621.566, w2 = 4524.134, dw = -0.05905, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 73, w1 = 4584.601, w2 = 4487.951, dw = -0.05858, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 74, w1 = 4548.222, w2 = 4452.343, dw = -0.05811, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 75, w1 = 4512.417, w2 = 4417.295, dw = -0.05765, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 76, w1 = 4477.172, w2 = 4382.795, dw = -0.0572, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 77, w1 = 4442.472, w2 = 4348.83, dw = -0.05675, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 78, w1 = 4408.307, w2 = 4315.387, dw = -0.05631, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 79, w1 = 4374.664, w2 = 4282.456, dw = -0.05588, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 80, w1 = 4341.53, w2 = 4250.023, dw = -0.05546, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 81, w1 = 4308.894, w2 = 4218.078, dw = -0.05504, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 82, w1 = 4276.746, w2 = 4186.61, dw = -0.05463, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 83, w1 = 4245.074, w2 = 4155.609, dw = -0.05422, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 84, w1 = 4213.868, w2 = 4125.063, dw = -0.05382, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 85, w1 = 4183.118, w2 = 4094.964, dw = -0.05343, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 86, w1 = 4152.813, w2 = 4065.3, dw = -0.05304, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 87, w1 = 4122.945, w2 = 4036.064, dw = -0.05266, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 88, w1 = 4093.503, w2 = 4007.245, dw = -0.05228, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 89, w1 = 4064.479, w2 = 3978.836, dw = -0.05191, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 90, w1 = 4035.864, w2 = 3950.826, dw = -0.05154, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 91, w1 = 4007.649, w2 = 3923.208, dw = -0.05118, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 92, w1 = 3979.826, w2 = 3895.974, dw = -0.05082, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 93, w1 = 3952.387, w2 = 3869.116, dw = -0.05047, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 94, w1 = 3925.324, w2 = 3842.626, dw = -0.05012, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 95, w1 = 3898.63, w2 = 3816.496, dw = -0.04978, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 96, w1 = 3872.296, w2 = 3790.719, dw = -0.04944, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 97, w1 = 3846.316, w2 = 3765.289, dw = -0.04911, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 98, w1 = 3820.682, w2 = 3740.198, dw = -0.04878, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 99, w1 = 3795.388, w2 = 3715.439, dw = -0.04845, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 100, w1 = 3770.427, w2 = 3691.006, dw = -0.04813, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 101, w1 = 3745.792, w2 = 3666.892, dw = -0.04782, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 102, w1 = 3721.478, w2 = 3643.092, dw = -0.04751, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 103, w1 = 3697.477, w2 = 3619.598, dw = -0.0472, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 104, w1 = 3673.784, w2 = 3596.407, dw = -0.0469, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 105, w1 = 3650.393, w2 = 3573.51, dw = -0.0466, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 106, w1 = 3627.299, w2 = 3550.904, dw = -0.0463, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 107, w1 = 3604.495, w2 = 3528.582, dw = -0.04601, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 108, w1 = 3581.976, w2 = 3506.539, dw = -0.04572, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 109, w1 = 3559.737, w2 = 3484.77, dw = -0.04543, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 110, w1 = 3537.773, w2 = 3463.269, dw = -0.04515, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 111, w1 = 3516.078, w2 = 3442.033, dw = -0.04488, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 112, w1 = 3494.648, w2 = 3421.056, dw = -0.0446, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 113, w1 = 3473.478, w2 = 3400.333, dw = -0.04433, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 114, w1 = 3452.564, w2 = 3379.859, dw = -0.04406, nw = 1651 zEchelleThAr.0032.ec.fits: ap = 115, w1 = 3431.9, w2 = 3359.631, dw = -0.0438, nw = 1651 EchelleThAr.0036.ec.fits: REFSPEC1 = 'EchelleThAr.0036.ec 1.' zEchelleThAr.0036.ec.fits: ap = 1, w1 = 10811.6, w2 = 10583.45, dw = -0.13827, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 2, w1 = 10611.41, w2 = 10387.49, dw = -0.13571, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 3, w1 = 10418.5, w2 = 10198.64, dw = -0.13324, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 4, w1 = 10232.47, w2 = 10016.55, dw = -0.13087, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 5, w1 = 10052.98, w2 = 9840.837, dw = -0.12857, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 6, w1 = 9879.672, w2 = 9671.186, dw = -0.12635, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 7, w1 = 9712.239, w2 = 9507.286, dw = -0.12421, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 8, w1 = 9550.386, w2 = 9348.849, dw = -0.12214, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 9, w1 = 9393.839, w2 = 9195.606, dw = -0.12014, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 10, w1 = 9242.342, w2 = 9047.307, dw = -0.1182, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 11, w1 = 9095.653, w2 = 8903.715, dw = -0.11633, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 12, w1 = 8953.548, w2 = 8764.61, dw = -0.11451, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 13, w1 = 8815.815, w2 = 8629.784, dw = -0.11275, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 14, w1 = 8682.256, w2 = 8499.045, dw = -0.11104, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 15, w1 = 8552.682, w2 = 8372.207, dw = -0.10938, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 16, w1 = 8426.92, w2 = 8249.1, dw = -0.10777, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 17, w1 = 8304.802, w2 = 8129.562, dw = -0.10621, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 18, w1 = 8186.173, w2 = 8013.438, dw = -0.10469, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 19, w1 = 8070.886, w2 = 7900.586, dw = -0.10321, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 20, w1 = 7958.801, w2 = 7790.868, dw = -0.10178, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 21, w1 = 7849.786, w2 = 7684.156, dw = -0.10038, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 22, w1 = 7743.718, w2 = 7580.328, dw = -0.09902, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 23, w1 = 7640.478, w2 = 7479.269, dw = -0.0977, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 24, w1 = 7539.954, w2 = 7380.869, dw = -0.09642, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 25, w1 = 7442.042, w2 = 7285.025, dw = -0.09516, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 26, w1 = 7346.64, w2 = 7191.638, dw = -0.09394, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 27, w1 = 7253.654, w2 = 7100.616, dw = -0.09275, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 28, w1 = 7162.991, w2 = 7011.869, dw = -0.09159, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 29, w1 = 7074.568, w2 = 6925.313, dw = -0.09046, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 30, w1 = 6988.301, w2 = 6840.869, dw = -0.08935, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 31, w1 = 6904.113, w2 = 6758.459, dw = -0.08828, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 32, w1 = 6821.929, w2 = 6678.012, dw = -0.08722, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 33, w1 = 6741.68, w2 = 6599.457, dw = -0.0862, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 34, w1 = 6663.296, w2 = 6522.73, dw = -0.08519, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 35, w1 = 6586.715, w2 = 6447.766, dw = -0.08421, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 36, w1 = 6511.874, w2 = 6374.506, dw = -0.08325, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 37, w1 = 6438.715, w2 = 6302.892, dw = -0.08232, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 38, w1 = 6367.181, w2 = 6232.87, dw = -0.0814, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 39, w1 = 6297.22, w2 = 6164.387, dw = -0.08051, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 40, w1 = 6228.78, w2 = 6097.392, dw = -0.07963, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 41, w1 = 6161.812, w2 = 6031.839, dw = -0.07877, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 42, w1 = 6096.269, w2 = 5967.68, dw = -0.07793, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 43, w1 = 6032.106, w2 = 5904.872, dw = -0.07711, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 44, w1 = 5969.28, w2 = 5843.373, dw = -0.07631, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 45, w1 = 5907.749, w2 = 5783.142, dw = -0.07552, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 46, w1 = 5847.474, w2 = 5724.14, dw = -0.07475, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 47, w1 = 5788.417, w2 = 5666.33, dw = -0.07399, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 48, w1 = 5730.541, w2 = 5609.676, dw = -0.07325, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 49, w1 = 5673.811, w2 = 5554.145, dw = -0.07253, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 50, w1 = 5618.194, w2 = 5499.702, dw = -0.07181, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 51, w1 = 5563.657, w2 = 5446.316, dw = -0.07112, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 52, w1 = 5510.168, w2 = 5393.958, dw = -0.07043, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 53, w1 = 5457.699, w2 = 5342.596, dw = -0.06976, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 54, w1 = 5406.219, w2 = 5292.204, dw = -0.0691, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 55, w1 = 5355.702, w2 = 5242.754, dw = -0.06845, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 56, w1 = 5306.121, w2 = 5194.22, dw = -0.06782, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 57, w1 = 5257.449, w2 = 5146.576, dw = -0.0672, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 58, w1 = 5209.663, w2 = 5099.799, dw = -0.06658, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 59, w1 = 5162.737, w2 = 5053.864, dw = -0.06598, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 60, w1 = 5116.65, w2 = 5008.75, dw = -0.06539, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 61, w1 = 5071.378, w2 = 4964.435, dw = -0.06481, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 62, w1 = 5026.901, w2 = 4920.897, dw = -0.06424, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 63, w1 = 4983.197, w2 = 4878.116, dw = -0.06369, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 64, w1 = 4940.246, w2 = 4836.073, dw = -0.06314, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 65, w1 = 4898.03, w2 = 4794.749, dw = -0.06259, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 66, w1 = 4856.53, w2 = 4754.125, dw = -0.06206, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 67, w1 = 4815.727, w2 = 4714.184, dw = -0.06154, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 68, w1 = 4775.603, w2 = 4674.909, dw = -0.06103, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 69, w1 = 4736.144, w2 = 4636.283, dw = -0.06052, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 70, w1 = 4697.331, w2 = 4598.29, dw = -0.06002, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 71, w1 = 4659.149, w2 = 4560.915, dw = -0.05954, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 72, w1 = 4621.582, w2 = 4524.144, dw = -0.05905, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 73, w1 = 4584.617, w2 = 4487.96, dw = -0.05858, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 74, w1 = 4548.239, w2 = 4452.351, dw = -0.05811, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 75, w1 = 4512.433, w2 = 4417.303, dw = -0.05765, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 76, w1 = 4477.186, w2 = 4382.802, dw = -0.0572, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 77, w1 = 4442.486, w2 = 4348.836, dw = -0.05676, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 78, w1 = 4408.32, w2 = 4315.393, dw = -0.05632, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 79, w1 = 4374.675, w2 = 4282.461, dw = -0.05589, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 80, w1 = 4341.54, w2 = 4250.027, dw = -0.05546, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 81, w1 = 4308.902, w2 = 4218.081, dw = -0.05504, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 82, w1 = 4276.752, w2 = 4186.613, dw = -0.05463, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 83, w1 = 4245.078, w2 = 4155.61, dw = -0.05422, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 84, w1 = 4213.869, w2 = 4125.063, dw = -0.05382, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 85, w1 = 4183.116, w2 = 4094.962, dw = -0.05343, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 86, w1 = 4152.808, w2 = 4065.298, dw = -0.05304, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 87, w1 = 4122.936, w2 = 4036.06, dw = -0.05265, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 88, w1 = 4093.491, w2 = 4007.24, dw = -0.05227, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 89, w1 = 4064.463, w2 = 3978.829, dw = -0.0519, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 90, w1 = 4035.843, w2 = 3950.818, dw = -0.05153, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 91, w1 = 4007.623, w2 = 3923.198, dw = -0.05117, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.962, dw = -0.05081, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 93, w1 = 3952.35, w2 = 3869.102, dw = -0.05045, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 94, w1 = 3925.281, w2 = 3842.61, dw = -0.0501, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 95, w1 = 3898.58, w2 = 3816.478, dw = -0.04976, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 96, w1 = 3872.239, w2 = 3790.699, dw = -0.04942, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 97, w1 = 3846.251, w2 = 3765.266, dw = -0.04908, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 98, w1 = 3820.61, w2 = 3740.173, dw = -0.04875, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 99, w1 = 3795.307, w2 = 3715.411, dw = -0.04842, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 100, w1 = 3770.337, w2 = 3690.975, dw = -0.0481, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 101, w1 = 3745.693, w2 = 3666.859, dw = -0.04778, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 102, w1 = 3721.368, w2 = 3643.055, dw = -0.04746, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 103, w1 = 3697.356, w2 = 3619.559, dw = -0.04715, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 104, w1 = 3673.652, w2 = 3596.364, dw = -0.04684, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 105, w1 = 3650.249, w2 = 3573.464, dw = -0.04654, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 106, w1 = 3627.142, w2 = 3550.854, dw = -0.04624, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 107, w1 = 3604.325, w2 = 3528.528, dw = -0.04594, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 108, w1 = 3581.792, w2 = 3506.482, dw = -0.04564, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 109, w1 = 3559.539, w2 = 3484.709, dw = -0.04535, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 110, w1 = 3537.559, w2 = 3463.204, dw = -0.04506, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 111, w1 = 3515.849, w2 = 3441.963, dw = -0.04478, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 112, w1 = 3494.403, w2 = 3420.982, dw = -0.0445, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 113, w1 = 3473.215, w2 = 3400.254, dw = -0.04422, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 114, w1 = 3452.283, w2 = 3379.776, dw = -0.04394, nw = 1651 zEchelleThAr.0036.ec.fits: ap = 115, w1 = 3431.6, w2 = 3359.543, dw = -0.04367, nw = 1651 EchelleThAr.0040.ec.fits: REFSPEC1 = 'EchelleThAr.0040.ec 1.' zEchelleThAr.0040.ec.fits: ap = 1, w1 = 10811.63, w2 = 10583.47, dw = -0.13828, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 2, w1 = 10611.43, w2 = 10387.5, dw = -0.13572, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 3, w1 = 10418.51, w2 = 10198.65, dw = -0.13325, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 4, w1 = 10232.48, w2 = 10016.54, dw = -0.13087, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 5, w1 = 10052.97, w2 = 9840.826, dw = -0.12857, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 6, w1 = 9879.659, w2 = 9671.17, dw = -0.12636, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 7, w1 = 9712.22, w2 = 9507.265, dw = -0.12422, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 8, w1 = 9550.363, w2 = 9348.824, dw = -0.12214, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 9, w1 = 9393.812, w2 = 9195.577, dw = -0.12014, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 10, w1 = 9242.311, w2 = 9047.275, dw = -0.1182, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 11, w1 = 9095.619, w2 = 8903.68, dw = -0.11633, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 12, w1 = 8953.511, w2 = 8764.572, dw = -0.11451, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 13, w1 = 8815.776, w2 = 8629.745, dw = -0.11275, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 14, w1 = 8682.215, w2 = 8499.004, dw = -0.11104, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 15, w1 = 8552.641, w2 = 8372.165, dw = -0.10938, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 16, w1 = 8426.877, w2 = 8249.057, dw = -0.10777, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 17, w1 = 8304.759, w2 = 8129.518, dw = -0.10621, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 18, w1 = 8186.13, w2 = 8013.394, dw = -0.10469, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 19, w1 = 8070.842, w2 = 7900.541, dw = -0.10321, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 20, w1 = 7958.757, w2 = 7790.823, dw = -0.10178, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 21, w1 = 7849.743, w2 = 7684.111, dw = -0.10038, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 22, w1 = 7743.675, w2 = 7580.283, dw = -0.09903, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 23, w1 = 7640.436, w2 = 7479.224, dw = -0.0977, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 24, w1 = 7539.913, w2 = 7380.825, dw = -0.09642, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 25, w1 = 7442.002, w2 = 7284.981, dw = -0.09516, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 26, w1 = 7346.601, w2 = 7191.595, dw = -0.09394, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 27, w1 = 7253.615, w2 = 7100.573, dw = -0.09275, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 28, w1 = 7162.954, w2 = 7011.827, dw = -0.09159, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 29, w1 = 7074.532, w2 = 6925.273, dw = -0.09046, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 30, w1 = 6988.266, w2 = 6840.829, dw = -0.08936, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 31, w1 = 6904.079, w2 = 6758.421, dw = -0.08828, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 32, w1 = 6821.897, w2 = 6677.974, dw = -0.08723, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 33, w1 = 6741.648, w2 = 6599.42, dw = -0.0862, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 34, w1 = 6663.266, w2 = 6522.694, dw = -0.0852, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 35, w1 = 6586.685, w2 = 6447.731, dw = -0.08421, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 36, w1 = 6511.845, w2 = 6374.472, dw = -0.08326, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 37, w1 = 6438.687, w2 = 6302.859, dw = -0.08232, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 38, w1 = 6367.155, w2 = 6232.838, dw = -0.0814, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 39, w1 = 6297.195, w2 = 6164.356, dw = -0.08051, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 40, w1 = 6228.756, w2 = 6097.363, dw = -0.07963, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 41, w1 = 6161.788, w2 = 6031.81, dw = -0.07877, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 42, w1 = 6096.246, w2 = 5967.652, dw = -0.07794, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 43, w1 = 6032.084, w2 = 5904.845, dw = -0.07711, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 44, w1 = 5969.258, w2 = 5843.347, dw = -0.07631, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 45, w1 = 5907.728, w2 = 5783.117, dw = -0.07552, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 46, w1 = 5847.453, w2 = 5724.116, dw = -0.07475, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 47, w1 = 5788.396, w2 = 5666.306, dw = -0.07399, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 48, w1 = 5730.521, w2 = 5609.654, dw = -0.07325, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 49, w1 = 5673.791, w2 = 5554.123, dw = -0.07253, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 50, w1 = 5618.174, w2 = 5499.681, dw = -0.07181, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 51, w1 = 5563.637, w2 = 5446.296, dw = -0.07112, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 52, w1 = 5510.149, w2 = 5393.937, dw = -0.07043, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 53, w1 = 5457.68, w2 = 5342.577, dw = -0.06976, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 54, w1 = 5406.2, w2 = 5292.185, dw = -0.0691, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 55, w1 = 5355.683, w2 = 5242.735, dw = -0.06845, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 56, w1 = 5306.102, w2 = 5194.201, dw = -0.06782, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 57, w1 = 5257.43, w2 = 5146.558, dw = -0.0672, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 58, w1 = 5209.643, w2 = 5099.781, dw = -0.06658, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 59, w1 = 5162.718, w2 = 5053.847, dw = -0.06598, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 60, w1 = 5116.63, w2 = 5008.733, dw = -0.06539, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 61, w1 = 5071.358, w2 = 4964.417, dw = -0.06481, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 62, w1 = 5026.88, w2 = 4920.88, dw = -0.06424, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 63, w1 = 4983.176, w2 = 4878.099, dw = -0.06368, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 64, w1 = 4940.225, w2 = 4836.056, dw = -0.06313, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 65, w1 = 4898.009, w2 = 4794.732, dw = -0.06259, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 66, w1 = 4856.508, w2 = 4754.108, dw = -0.06206, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 67, w1 = 4815.705, w2 = 4714.167, dw = -0.06154, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 68, w1 = 4775.581, w2 = 4674.891, dw = -0.06102, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 69, w1 = 4736.121, w2 = 4636.265, dw = -0.06052, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 70, w1 = 4697.308, w2 = 4598.273, dw = -0.06002, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 71, w1 = 4659.125, w2 = 4560.897, dw = -0.05953, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 72, w1 = 4621.559, w2 = 4524.125, dw = -0.05905, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 73, w1 = 4584.594, w2 = 4487.941, dw = -0.05858, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 74, w1 = 4548.215, w2 = 4452.332, dw = -0.05811, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 75, w1 = 4512.409, w2 = 4417.283, dw = -0.05765, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 76, w1 = 4477.163, w2 = 4382.782, dw = -0.0572, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 77, w1 = 4442.463, w2 = 4348.816, dw = -0.05676, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 78, w1 = 4408.297, w2 = 4315.373, dw = -0.05632, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 79, w1 = 4374.652, w2 = 4282.44, dw = -0.05589, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 80, w1 = 4341.517, w2 = 4250.006, dw = -0.05546, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 81, w1 = 4308.88, w2 = 4218.06, dw = -0.05504, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 82, w1 = 4276.731, w2 = 4186.59, dw = -0.05463, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 83, w1 = 4245.057, w2 = 4155.587, dw = -0.05422, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 84, w1 = 4213.85, w2 = 4125.04, dw = -0.05382, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 85, w1 = 4183.097, w2 = 4094.939, dw = -0.05343, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 86, w1 = 4152.791, w2 = 4065.274, dw = -0.05304, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 87, w1 = 4122.92, w2 = 4036.036, dw = -0.05266, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 88, w1 = 4093.476, w2 = 4007.215, dw = -0.05228, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 89, w1 = 4064.449, w2 = 3978.804, dw = -0.05191, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 90, w1 = 4035.831, w2 = 3950.792, dw = -0.05154, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 91, w1 = 4007.613, w2 = 3923.172, dw = -0.05118, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 92, w1 = 3979.787, w2 = 3895.936, dw = -0.05082, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 93, w1 = 3952.345, w2 = 3869.076, dw = -0.05047, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 94, w1 = 3925.279, w2 = 3842.583, dw = -0.05012, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 95, w1 = 3898.58, w2 = 3816.451, dw = -0.04978, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 96, w1 = 3872.242, w2 = 3790.672, dw = -0.04944, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 97, w1 = 3846.258, w2 = 3765.239, dw = -0.0491, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 98, w1 = 3820.62, w2 = 3740.145, dw = -0.04877, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 99, w1 = 3795.321, w2 = 3715.383, dw = -0.04845, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 100, w1 = 3770.355, w2 = 3690.947, dw = -0.04813, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 101, w1 = 3745.715, w2 = 3666.831, dw = -0.04781, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 102, w1 = 3721.395, w2 = 3643.028, dw = -0.0475, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 103, w1 = 3697.388, w2 = 3619.532, dw = -0.04719, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 104, w1 = 3673.689, w2 = 3596.337, dw = -0.04688, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 105, w1 = 3650.292, w2 = 3573.437, dw = -0.04658, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 106, w1 = 3627.19, w2 = 3550.827, dw = -0.04628, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 107, w1 = 3604.379, w2 = 3528.502, dw = -0.04599, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 108, w1 = 3581.853, w2 = 3506.456, dw = -0.0457, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 109, w1 = 3559.606, w2 = 3484.683, dw = -0.04541, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 110, w1 = 3537.634, w2 = 3463.179, dw = -0.04512, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 111, w1 = 3515.931, w2 = 3441.94, dw = -0.04484, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 112, w1 = 3494.493, w2 = 3420.959, dw = -0.04457, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 113, w1 = 3473.314, w2 = 3400.232, dw = -0.04429, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 114, w1 = 3452.39, w2 = 3379.755, dw = -0.04402, nw = 1651 zEchelleThAr.0040.ec.fits: ap = 115, w1 = 3431.716, w2 = 3359.523, dw = -0.04375, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Nov 3 12:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0021.ec.fits[ 1] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 2] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 3] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 4] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 5] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 6] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 7] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 8] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 9] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 10] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 11] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 12] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 13] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 14] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 15] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 16] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 17] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 18] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 19] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 20] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 21] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 22] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 23] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 24] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 25] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 26] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 27] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 28] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 29] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 30] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 31] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 32] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 33] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 34] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 35] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 36] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 37] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 38] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 39] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 40] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 41] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 42] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 43] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 44] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 45] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 46] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 47] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 48] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 49] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 50] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 51] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 52] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 53] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 54] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 55] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 56] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 57] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 58] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 59] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 60] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 61] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 62] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 63] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 64] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 65] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 66] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 67] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 68] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 69] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 70] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 71] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 72] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 73] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 74] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 75] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 76] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 77] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 78] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 79] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 80] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 81] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 82] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 83] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 84] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 85] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 86] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 87] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 88] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 89] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 90] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 91] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 92] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 93] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 94] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 95] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 96] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 97] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 98] 720.0 1.000 0. 0.009 141028.0021.ec.fits[ 99] 720.0 1.000 0. 0.009 141028.0021.ec.fits[100] 720.0 1.000 0. 0.009 141028.0021.ec.fits[101] 720.0 1.000 0. 0.009 141028.0021.ec.fits[102] 720.0 1.000 0. 0.009 141028.0021.ec.fits[103] 720.0 1.000 0. 0.009 141028.0021.ec.fits[104] 720.0 1.000 0. 0.009 141028.0021.ec.fits[105] 720.0 1.000 0. 0.009 141028.0021.ec.fits[106] 720.0 1.000 0. 0.009 141028.0021.ec.fits[107] 720.0 1.000 0. 0.009 141028.0021.ec.fits[108] 720.0 1.000 0. 0.009 141028.0021.ec.fits[109] 720.0 1.000 0. 0.009 141028.0021.ec.fits[110] 720.0 1.000 0. 0.009 141028.0021.ec.fits[111] 720.0 1.000 0. 0.009 141028.0021.ec.fits[112] 720.0 1.000 0. 0.009 141028.0021.ec.fits[113] 720.0 1.000 0. 0.009 141028.0021.ec.fits[114] 720.0 1.000 0. 0.009 141028.0021.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum141028.0021.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.632, w2 = 10811.72, dw = 0.04377015, nw = 170256., dtype = 0 Nov 3 12:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[100] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[101] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[102] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[103] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[104] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[105] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[106] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[107] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[108] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[109] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[110] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[111] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[112] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[113] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[114] 1500.0 1.000 0. 0.009 141028.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141028.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.633, w2 = 10811.7, dw = 0.04378111, nw = 170213., dtype = 0 Nov 3 12:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 141028.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 141028.0023.ec.fits[100] 900.0 1.000 0. 0.009 141028.0023.ec.fits[101] 900.0 1.000 0. 0.009 141028.0023.ec.fits[102] 900.0 1.000 0. 0.009 141028.0023.ec.fits[103] 900.0 1.000 0. 0.009 141028.0023.ec.fits[104] 900.0 1.000 0. 0.009 141028.0023.ec.fits[105] 900.0 1.000 0. 0.009 141028.0023.ec.fits[106] 900.0 1.000 0. 0.009 141028.0023.ec.fits[107] 900.0 1.000 0. 0.009 141028.0023.ec.fits[108] 900.0 1.000 0. 0.009 141028.0023.ec.fits[109] 900.0 1.000 0. 0.009 141028.0023.ec.fits[110] 900.0 1.000 0. 0.009 141028.0023.ec.fits[111] 900.0 1.000 0. 0.009 141028.0023.ec.fits[112] 900.0 1.000 0. 0.009 141028.0023.ec.fits[113] 900.0 1.000 0. 0.009 141028.0023.ec.fits[114] 900.0 1.000 0. 0.009 141028.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141028.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.635, w2 = 10811.69, dw = 0.04379208, nw = 170170., dtype = 0 Nov 3 12:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 141028.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 141028.0025.ec.fits[100] 900.0 1.000 0. 0.009 141028.0025.ec.fits[101] 900.0 1.000 0. 0.009 141028.0025.ec.fits[102] 900.0 1.000 0. 0.009 141028.0025.ec.fits[103] 900.0 1.000 0. 0.009 141028.0025.ec.fits[104] 900.0 1.000 0. 0.009 141028.0025.ec.fits[105] 900.0 1.000 0. 0.009 141028.0025.ec.fits[106] 900.0 1.000 0. 0.009 141028.0025.ec.fits[107] 900.0 1.000 0. 0.009 141028.0025.ec.fits[108] 900.0 1.000 0. 0.009 141028.0025.ec.fits[109] 900.0 1.000 0. 0.009 141028.0025.ec.fits[110] 900.0 1.000 0. 0.009 141028.0025.ec.fits[111] 900.0 1.000 0. 0.009 141028.0025.ec.fits[112] 900.0 1.000 0. 0.009 141028.0025.ec.fits[113] 900.0 1.000 0. 0.009 141028.0025.ec.fits[114] 900.0 1.000 0. 0.009 141028.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141028.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.63, w2 = 10811.68, dw = 0.04378227, nw = 170208., dtype = 0 Nov 3 12:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[100] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[101] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[102] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[103] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[104] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[105] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[106] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[107] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[108] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[109] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[110] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[111] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[112] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[113] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[114] 1200.0 1.000 0. 0.009 141028.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141028.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.624, w2 = 10811.67, dw = 0.04376249, nw = 170285., dtype = 0 Nov 3 12:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 141028.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 141028.0027.ec.fits[100] 600.0 1.000 0. 0.009 141028.0027.ec.fits[101] 600.0 1.000 0. 0.009 141028.0027.ec.fits[102] 600.0 1.000 0. 0.009 141028.0027.ec.fits[103] 600.0 1.000 0. 0.009 141028.0027.ec.fits[104] 600.0 1.000 0. 0.009 141028.0027.ec.fits[105] 600.0 1.000 0. 0.009 141028.0027.ec.fits[106] 600.0 1.000 0. 0.009 141028.0027.ec.fits[107] 600.0 1.000 0. 0.009 141028.0027.ec.fits[108] 600.0 1.000 0. 0.009 141028.0027.ec.fits[109] 600.0 1.000 0. 0.009 141028.0027.ec.fits[110] 600.0 1.000 0. 0.009 141028.0027.ec.fits[111] 600.0 1.000 0. 0.009 141028.0027.ec.fits[112] 600.0 1.000 0. 0.009 141028.0027.ec.fits[113] 600.0 1.000 0. 0.009 141028.0027.ec.fits[114] 600.0 1.000 0. 0.009 141028.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sum141028.0027.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.617, w2 = 10811.67, dw = 0.04374427, nw = 170356., dtype = 0 Nov 3 12:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0028.ec.fits[ 1] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 2] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 3] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 4] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 5] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 6] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 7] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 8] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 9] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 10] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 11] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 12] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 13] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 14] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 15] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 16] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 17] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 18] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 19] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 20] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 21] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 22] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 23] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 24] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 25] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 26] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 27] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 28] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 29] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 30] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 31] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 32] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 33] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 34] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 35] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 36] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 37] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 38] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 39] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 40] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 41] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 42] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 43] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 44] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 45] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 46] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 47] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 48] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 49] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 50] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 51] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 52] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 53] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 54] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 55] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 56] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 57] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 58] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 59] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 60] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 61] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 62] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 63] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 64] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 65] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 66] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 67] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 68] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 69] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 70] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 71] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 72] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 73] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 74] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 75] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 76] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 77] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 78] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 79] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 80] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 81] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 82] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 83] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 84] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 85] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 86] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 87] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 88] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 89] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 90] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 91] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 92] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 93] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 94] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 95] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 96] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 97] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 98] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[ 99] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[100] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[101] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[102] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[103] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[104] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[105] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[106] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[107] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[108] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[109] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[110] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[111] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[112] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[113] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[114] 1500.0 1.000 0. 0.009 141028.0028.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141028.0028.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.609, w2 = 10811.67, dw = 0.04372222, nw = 170442., dtype = 0 Nov 3 12:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0030.ec.fits[ 1] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 2] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 3] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 4] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 5] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 6] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 7] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 8] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 9] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 10] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 11] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 12] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 13] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 14] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 15] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 16] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 17] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 18] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 19] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 20] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 21] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 22] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 23] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 24] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 25] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 26] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 27] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 28] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 29] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 30] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 31] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 32] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 33] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 34] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 35] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 36] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 37] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 38] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 39] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 40] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 41] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 42] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 43] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 44] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 45] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 46] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 47] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 48] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 49] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 50] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 51] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 52] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 53] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 54] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 55] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 56] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 57] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 58] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 59] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 60] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 61] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 62] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 63] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 64] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 65] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 66] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 67] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 68] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 69] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 70] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 71] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 72] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 73] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 74] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 75] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 76] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 77] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 78] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 79] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 80] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 81] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 82] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 83] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 84] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 85] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 86] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 87] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 88] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 89] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 90] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 91] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 92] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 93] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 94] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 95] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 96] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 97] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 98] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[ 99] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[100] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[101] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[102] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[103] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[104] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[105] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[106] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[107] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[108] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[109] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[110] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[111] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[112] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[113] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[114] 1200.0 1.000 0. 0.009 141028.0030.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141028.0030.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.611, w2 = 10811.67, dw = 0.04373071, nw = 170409., dtype = 0 Nov 3 12:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 19] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 20] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 21] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 22] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 23] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 24] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 25] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 26] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 27] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 28] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 29] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 30] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 31] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 32] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 33] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 34] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 35] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 36] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 37] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 38] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 39] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 40] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 41] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 42] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 43] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 44] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 45] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 46] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 47] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 48] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 49] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 50] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 51] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 52] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 53] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 54] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 55] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[100] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[101] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[102] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[103] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[104] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[105] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[106] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[107] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[108] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[109] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[110] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[111] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[112] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[113] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[114] 1500.0 1.000 0. 0.009 141028.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141028.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.623, w2 = 10811.69, dw = 0.04377052, nw = 170254., dtype = 0 Nov 3 12:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0033.ec.fits[ 1] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 2] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 3] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 4] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 5] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 6] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 7] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 8] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 9] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 10] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 11] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 12] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 13] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 14] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 15] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 16] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 17] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 18] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 19] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 20] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 21] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 22] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 23] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 24] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 25] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 26] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 27] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 28] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 29] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 30] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 31] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 32] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 33] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 34] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 35] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 36] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 37] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 38] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 39] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 40] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 41] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 42] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 43] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 44] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 45] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 46] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 47] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 48] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 49] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 50] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 51] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 52] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 53] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 54] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 55] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 56] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 57] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 58] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 59] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 60] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 61] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 62] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 63] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 64] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 65] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 66] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 67] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 68] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 69] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 70] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 71] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 72] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 73] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 74] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 75] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 76] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 77] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 78] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 79] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 80] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 81] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 82] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 83] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 84] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 85] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 86] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 87] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 88] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 89] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 90] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 91] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 92] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 93] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 94] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 95] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 96] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 97] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 98] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[ 99] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[100] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[101] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[102] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[103] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[104] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[105] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[106] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[107] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[108] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[109] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[110] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[111] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[112] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[113] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[114] 1200.0 1.000 0. 0.009 141028.0033.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum141028.0033.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.615, w2 = 10811.68, dw = 0.04377488, nw = 170237., dtype = 0 Nov 3 12:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0034.ec.fits[ 1] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 2] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 3] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 4] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 5] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 6] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 7] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 8] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 9] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 10] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 11] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 12] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 13] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 14] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 15] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 16] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 17] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 18] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 19] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 20] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 21] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 22] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 23] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 24] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 25] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 26] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 27] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 28] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 29] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 30] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 31] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 32] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 33] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 34] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 35] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 36] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 37] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 38] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 39] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 40] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 41] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 42] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 43] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 44] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 45] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 46] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 47] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 48] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 49] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 50] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 51] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 52] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 53] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 54] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 55] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 56] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 57] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 58] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 59] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 60] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 61] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 62] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 63] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 64] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 65] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 66] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 67] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 68] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 69] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 70] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 71] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 72] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 73] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 74] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 75] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 76] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 77] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 78] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 79] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 80] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 81] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 82] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 83] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 84] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 85] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 86] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 87] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 88] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 89] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 90] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 91] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 92] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 93] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 94] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 95] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 96] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 97] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 98] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[ 99] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[100] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[101] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[102] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[103] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[104] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[105] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[106] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[107] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[108] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[109] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[110] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[111] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[112] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[113] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[114] 1500.0 1.000 0. 0.009 141028.0034.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141028.0034.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.583, w2 = 10811.64, dw = 0.04372966, nw = 170413., dtype = 0 Nov 3 12:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0035.ec.fits[ 1] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 2] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 3] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 4] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 5] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 6] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 7] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 8] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 9] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 10] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 11] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 12] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 13] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 14] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 15] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 16] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 17] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 18] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 19] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 20] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 21] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 22] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 23] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 24] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 25] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 26] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 27] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 28] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 29] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 30] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 31] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 32] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 33] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 34] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 35] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 36] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 37] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 38] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 39] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 40] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 41] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 42] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 43] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 44] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 45] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 46] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 47] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 48] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 49] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 50] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 51] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 52] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 53] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 54] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 55] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 56] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 57] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 58] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 59] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 60] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 61] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 62] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 63] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 64] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 65] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 66] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 67] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 68] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 69] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 70] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 71] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 72] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 73] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 74] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 75] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 76] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 77] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 78] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 79] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 80] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 81] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 82] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 83] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 84] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 85] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 86] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 87] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 88] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 89] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 90] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 91] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 92] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 93] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 94] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 95] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 96] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 97] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 98] 900.0 1.000 0. 0.009 141028.0035.ec.fits[ 99] 900.0 1.000 0. 0.009 141028.0035.ec.fits[100] 900.0 1.000 0. 0.009 141028.0035.ec.fits[101] 900.0 1.000 0. 0.009 141028.0035.ec.fits[102] 900.0 1.000 0. 0.009 141028.0035.ec.fits[103] 900.0 1.000 0. 0.009 141028.0035.ec.fits[104] 900.0 1.000 0. 0.009 141028.0035.ec.fits[105] 900.0 1.000 0. 0.009 141028.0035.ec.fits[106] 900.0 1.000 0. 0.009 141028.0035.ec.fits[107] 900.0 1.000 0. 0.009 141028.0035.ec.fits[108] 900.0 1.000 0. 0.009 141028.0035.ec.fits[109] 900.0 1.000 0. 0.009 141028.0035.ec.fits[110] 900.0 1.000 0. 0.009 141028.0035.ec.fits[111] 900.0 1.000 0. 0.009 141028.0035.ec.fits[112] 900.0 1.000 0. 0.009 141028.0035.ec.fits[113] 900.0 1.000 0. 0.009 141028.0035.ec.fits[114] 900.0 1.000 0. 0.009 141028.0035.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141028.0035.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.556, w2 = 10811.61, dw = 0.0436899, nw = 170568., dtype = 0 Nov 3 12:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0037.ec.fits[ 1] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 2] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 3] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 4] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 5] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 6] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 7] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 8] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 9] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 10] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 11] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 12] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 13] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 14] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 15] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 16] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 17] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 18] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 19] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 20] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 21] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 22] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 23] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 24] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 25] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 26] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 27] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 28] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 29] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 30] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 31] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 32] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 33] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 34] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 35] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 36] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 37] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 38] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 39] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 40] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 41] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 42] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 43] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 44] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 45] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 46] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 47] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 48] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 49] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 50] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 51] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 52] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 53] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 54] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 55] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 56] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 57] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 58] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 59] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 60] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 61] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 62] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 63] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 64] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 65] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 66] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 67] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 68] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 69] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 70] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 71] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 72] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 73] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 74] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 75] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 76] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 77] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 78] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 79] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 80] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 81] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 82] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 83] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 84] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 85] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 86] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 87] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 88] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 89] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 90] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 91] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 92] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 93] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 94] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 95] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 96] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 97] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 98] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[ 99] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[100] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[101] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[102] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[103] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[104] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[105] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[106] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[107] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[108] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[109] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[110] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[111] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[112] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[113] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[114] 1500.0 1.000 0. 0.009 141028.0037.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum141028.0037.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.538, w2 = 10811.6, dw = 0.04369202, nw = 170560., dtype = 0 Nov 3 12:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0038.ec.fits[ 1] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 2] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 3] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 4] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 5] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 6] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 7] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 8] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 9] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 10] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 11] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 12] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 13] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 14] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 15] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 16] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 17] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 18] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 19] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 20] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 21] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 22] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 23] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 24] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 25] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 26] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 27] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 28] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 29] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 30] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 31] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 32] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 33] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 34] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 35] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 36] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 37] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 38] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 39] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 40] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 41] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 42] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 43] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 44] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 45] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 46] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 47] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 48] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 49] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 50] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 51] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 52] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 53] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 54] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 55] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 56] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 57] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 58] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 59] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 60] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 61] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 62] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 63] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 64] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 65] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 66] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 67] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 68] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 69] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 70] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 71] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 72] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 73] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 74] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 75] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 76] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 77] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 78] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 79] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 80] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 81] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 82] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 83] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 84] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 85] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 86] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 87] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 88] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 89] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 90] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 91] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 92] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 93] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 94] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 95] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 96] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 97] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 98] 900.0 1.000 0. 0.009 141028.0038.ec.fits[ 99] 900.0 1.000 0. 0.009 141028.0038.ec.fits[100] 900.0 1.000 0. 0.009 141028.0038.ec.fits[101] 900.0 1.000 0. 0.009 141028.0038.ec.fits[102] 900.0 1.000 0. 0.009 141028.0038.ec.fits[103] 900.0 1.000 0. 0.009 141028.0038.ec.fits[104] 900.0 1.000 0. 0.009 141028.0038.ec.fits[105] 900.0 1.000 0. 0.009 141028.0038.ec.fits[106] 900.0 1.000 0. 0.009 141028.0038.ec.fits[107] 900.0 1.000 0. 0.009 141028.0038.ec.fits[108] 900.0 1.000 0. 0.009 141028.0038.ec.fits[109] 900.0 1.000 0. 0.009 141028.0038.ec.fits[110] 900.0 1.000 0. 0.009 141028.0038.ec.fits[111] 900.0 1.000 0. 0.009 141028.0038.ec.fits[112] 900.0 1.000 0. 0.009 141028.0038.ec.fits[113] 900.0 1.000 0. 0.009 141028.0038.ec.fits[114] 900.0 1.000 0. 0.009 141028.0038.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141028.0038.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.531, w2 = 10811.61, dw = 0.04371826, nw = 170458., dtype = 0 Nov 3 12:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 141028.0039.ec.fits[ 1] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 2] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 3] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 4] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 5] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 6] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 7] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 8] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 9] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 10] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 11] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 12] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 13] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 14] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 15] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 16] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 17] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 18] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 19] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 20] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 21] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 22] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 23] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 24] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 25] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 26] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 27] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 28] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 29] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 30] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 31] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 32] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 33] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 34] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 35] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 36] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 37] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 38] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 39] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 40] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 41] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 42] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 43] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 44] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 45] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 46] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 47] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 48] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 49] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 50] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 51] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 52] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 53] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 54] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 55] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 56] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 57] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 58] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 59] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 60] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 61] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 62] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 63] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 64] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 65] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 66] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 67] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 68] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 69] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 70] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 71] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 72] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 73] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 74] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 75] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 76] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 77] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 78] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 79] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 80] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 81] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 82] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 83] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 84] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 85] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 86] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 87] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 88] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 89] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 90] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 91] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 92] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 93] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 94] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 95] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 96] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 97] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 98] 900.0 1.000 0. 0.009 141028.0039.ec.fits[ 99] 900.0 1.000 0. 0.009 141028.0039.ec.fits[100] 900.0 1.000 0. 0.009 141028.0039.ec.fits[101] 900.0 1.000 0. 0.009 141028.0039.ec.fits[102] 900.0 1.000 0. 0.009 141028.0039.ec.fits[103] 900.0 1.000 0. 0.009 141028.0039.ec.fits[104] 900.0 1.000 0. 0.009 141028.0039.ec.fits[105] 900.0 1.000 0. 0.009 141028.0039.ec.fits[106] 900.0 1.000 0. 0.009 141028.0039.ec.fits[107] 900.0 1.000 0. 0.009 141028.0039.ec.fits[108] 900.0 1.000 0. 0.009 141028.0039.ec.fits[109] 900.0 1.000 0. 0.009 141028.0039.ec.fits[110] 900.0 1.000 0. 0.009 141028.0039.ec.fits[111] 900.0 1.000 0. 0.009 141028.0039.ec.fits[112] 900.0 1.000 0. 0.009 141028.0039.ec.fits[113] 900.0 1.000 0. 0.009 141028.0039.ec.fits[114] 900.0 1.000 0. 0.009 141028.0039.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum141028.0039.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.526, w2 = 10811.62, dw = 0.04373885, nw = 170378., dtype = 0 Nov 3 12:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0021.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[100] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[101] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[102] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[103] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[104] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[105] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[106] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[107] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[108] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[109] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[110] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[111] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[112] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[113] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[114] 720.0 1.000 0. 0.009 fitcont141028.0021.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont141028.0021.ec.fits, ncombine = 115, exptime = 82800.01 w1 = 3359.632, w2 = 10811.72, dw = 0.04377015, nw = 170256., dtype = 0 Nov 3 12:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0022.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141028.0022.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141028.0022.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.633, w2 = 10811.7, dw = 0.04378111, nw = 170213., dtype = 0 Nov 3 12:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141028.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141028.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.635, w2 = 10811.69, dw = 0.04379208, nw = 170170., dtype = 0 Nov 3 12:33: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141028.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141028.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.63, w2 = 10811.68, dw = 0.04378227, nw = 170208., dtype = 0 Nov 3 12:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141028.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141028.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.624, w2 = 10811.67, dw = 0.04376249, nw = 170285., dtype = 0 Nov 3 12:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0027.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[100] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[101] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[102] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[103] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[104] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[105] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[106] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[107] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[108] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[109] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[110] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[111] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[112] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[113] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[114] 600.0 1.000 0. 0.009 fitcont141028.0027.ec.fits[115] 600.0 1.000 0. 0.009 Output image = sumfitcont141028.0027.ec.fits, ncombine = 115, exptime = 68999.99 w1 = 3359.617, w2 = 10811.67, dw = 0.04374427, nw = 170356., dtype = 0 Nov 3 12:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0028.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141028.0028.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141028.0028.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.609, w2 = 10811.67, dw = 0.04372222, nw = 170442., dtype = 0 Nov 3 12:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0030.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141028.0030.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141028.0030.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.611, w2 = 10811.67, dw = 0.04373071, nw = 170409., dtype = 0 Nov 3 12:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0031.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141028.0031.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141028.0031.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.623, w2 = 10811.69, dw = 0.04377052, nw = 170254., dtype = 0 Nov 3 12:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0033.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont141028.0033.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont141028.0033.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.615, w2 = 10811.68, dw = 0.04377488, nw = 170237., dtype = 0 Nov 3 12:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0034.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141028.0034.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141028.0034.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.583, w2 = 10811.64, dw = 0.04372966, nw = 170413., dtype = 0 Nov 3 12:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0035.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141028.0035.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141028.0035.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.556, w2 = 10811.61, dw = 0.0436899, nw = 170568., dtype = 0 Nov 3 12:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0037.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont141028.0037.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont141028.0037.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.538, w2 = 10811.6, dw = 0.04369202, nw = 170560., dtype = 0 Nov 3 12:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0038.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141028.0038.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141028.0038.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.531, w2 = 10811.61, dw = 0.04371826, nw = 170458., dtype = 0 Nov 3 12:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont141028.0039.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[100] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[101] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[102] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[103] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[104] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[105] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[106] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[107] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[108] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[109] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[110] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[111] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[112] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[113] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[114] 900.0 1.000 0. 0.009 fitcont141028.0039.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont141028.0039.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.526, w2 = 10811.62, dw = 0.04373885, nw = 170378., dtype = 0 82800.01 fullspec141028.0021.ec.fits,EXPTIME: 82800.01 -> 720.000086957 fullspec141028.0021.ec.fits updated 172500. fullspec141028.0022.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141028.0022.ec.fits updated 103500. fullspec141028.0023.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141028.0023.ec.fits updated 103500. fullspec141028.0025.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141028.0025.ec.fits updated 138000. fullspec141028.0026.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141028.0026.ec.fits updated 68999.99 fullspec141028.0027.ec.fits,EXPTIME: 68999.99 -> 599.999913043 fullspec141028.0027.ec.fits updated 172500. fullspec141028.0028.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141028.0028.ec.fits updated 138000. fullspec141028.0030.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141028.0030.ec.fits updated 172500. fullspec141028.0031.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141028.0031.ec.fits updated 138000. fullspec141028.0033.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec141028.0033.ec.fits updated 172500. fullspec141028.0034.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141028.0034.ec.fits updated 103500. fullspec141028.0035.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141028.0035.ec.fits updated 172500. fullspec141028.0037.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec141028.0037.ec.fits updated 103500. fullspec141028.0038.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141028.0038.ec.fits updated 103500. fullspec141028.0039.ec.fits,EXPTIME: 103500. -> 900.0 fullspec141028.0039.ec.fits updated ALL DONE! Yay! (=^.^=)