Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 120510.0011.fits,dispaxis = 1 120510.0011.fits updated add 120510.0012.fits,dispaxis = 1 120510.0012.fits updated add 120510.0013.fits,dispaxis = 1 120510.0013.fits updated add 120510.0014.fits,dispaxis = 1 120510.0014.fits updated add 120525.0028.fits,dispaxis = 1 120525.0028.fits updated add 120525.0029.fits,dispaxis = 1 120525.0029.fits updated add 120525.0030.fits,dispaxis = 1 120525.0030.fits updated add 120525.0031.fits,dispaxis = 1 120525.0031.fits updated add 120525.0032.fits,dispaxis = 1 120525.0032.fits updated add 120525.0033.fits,dispaxis = 1 120525.0033.fits updated add 120525.0034.fits,dispaxis = 1 120525.0034.fits updated add 120525.0035.fits,dispaxis = 1 120525.0035.fits updated add 120525.0036.fits,dispaxis = 1 120525.0036.fits updated add 120525.0037.fits,dispaxis = 1 120525.0037.fits updated add EchelleFlat.0005.fits,dispaxis = 1 EchelleFlat.0005.fits updated add EchelleFlat.0006.fits,dispaxis = 1 EchelleFlat.0006.fits updated add EchelleFlat.0007.fits,dispaxis = 1 EchelleFlat.0007.fits updated add EchelleFlatBlue.0008.fits,dispaxis = 1 EchelleFlatBlue.0008.fits updated add EchelleFlatBlue.0009.fits,dispaxis = 1 EchelleFlatBlue.0009.fits updated add EchelleFlatBlue.0010.fits,dispaxis = 1 EchelleFlatBlue.0010.fits updated add EchelleThAr.0001.fits,dispaxis = 1 EchelleThAr.0001.fits updated add EchelleThAr.0002.fits,dispaxis = 1 EchelleThAr.0002.fits updated add EchelleThAr.0003.fits,dispaxis = 1 EchelleThAr.0003.fits updated add EchelleThAr.0004.fits,dispaxis = 1 EchelleThAr.0004.fits updated FIXPIX: image EchelleFlat.0005.fits with mask echmask.pl FIXPIX: image EchelleFlat.0006.fits with mask echmask.pl FIXPIX: image EchelleFlat.0007.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0008.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0009.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0010.fits with mask echmask.pl FIXPIX: image 120510.0011.fits with mask echmask.pl FIXPIX: image 120510.0012.fits with mask echmask.pl FIXPIX: image 120510.0013.fits with mask echmask.pl FIXPIX: image 120510.0014.fits with mask echmask.pl FIXPIX: image EchelleThAr.0001.fits with mask echmask.pl FIXPIX: image EchelleThAr.0002.fits with mask echmask.pl FIXPIX: image EchelleThAr.0003.fits with mask echmask.pl FIXPIX: image EchelleThAr.0004.fits with mask echmask.pl Dec 10 14:43: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp 120525.0028.fits 0.0 120525.0029.fits 0.0 120525.0030.fits 0.0 120525.0031.fits 0.0 120525.0032.fits 0.0 120525.0033.fits 0.0 120525.0034.fits 0.0 120525.0035.fits 0.0 120525.0036.fits 0.0 120525.0037.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 120510.0011.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120510.0011.fits: Dec 10 14:43 Zero level correction image is bias_fid 120510.0012.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120510.0012.fits: Dec 10 14:43 Zero level correction image is bias_fid 120510.0013.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120510.0013.fits: Dec 10 14:43 Zero level correction image is bias_fid 120510.0014.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] 120510.0014.fits: Dec 10 14:43 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlat.0005.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleFlat.0005.fits: Dec 10 14:43 Zero level correction image is bias_fid EchelleFlat.0006.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleFlat.0006.fits: Dec 10 14:43 Zero level correction image is bias_fid EchelleFlat.0007.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleFlat.0007.fits: Dec 10 14:43 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0008.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0008.fits: Dec 10 14:43 Zero level correction image is bias_fid EchelleFlatBlue.0009.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0009.fits: Dec 10 14:43 Zero level correction image is bias_fid EchelleFlatBlue.0010.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0010.fits: Dec 10 14:43 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0001.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleThAr.0001.fits: Dec 10 14:43 Zero level correction image is bias_fid EchelleThAr.0002.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleThAr.0002.fits: Dec 10 14:43 Zero level correction image is bias_fid EchelleThAr.0003.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleThAr.0003.fits: Dec 10 14:43 Zero level correction image is bias_fid EchelleThAr.0004.fits: Dec 10 14:43 Trim data section is [200:1850,1:2048] EchelleThAr.0004.fits: Dec 10 14:43 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 14:44: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0008.fits 200.0 EchelleFlatBlue.0009.fits 200.0 EchelleFlatBlue.0010.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Dec 10 14:44: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlat.0005.fits 7.0 EchelleFlat.0006.fits 7.0 EchelleFlat.0007.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 10 14:45: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1647. Dec 10 14:45: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1648. Dec 10 14:45: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1592. Dec 10 14:45: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1593. Dec 10 14:45: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1594. Dec 10 14:45: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1632. Dec 10 14:45: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1633. Dec 10 14:45: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 52. Dec 10 14:45: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 51. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1638. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1639. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1640. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1642. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1643. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1645. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1646. Dec 10 14:45: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1647. Dec 10 14:45: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1588. Dec 10 14:45: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1589. Dec 10 14:45: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 74. Dec 10 14:45: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 73. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1631. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1632. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1633. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1634. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1641. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1642. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 53. Dec 10 14:45: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 52. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1577. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1578. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1599. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1600. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1621. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1622. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1632. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1633. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1640. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1641. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1643. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1644. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 124. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 123. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 96. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 95. Dec 10 14:45: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 94. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1499. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1500. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1502. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1503. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1504. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1519. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1520. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1530. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1531. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1583. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1584. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1585. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 170. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 169. Dec 10 14:45: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 168. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 9.549 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.0001.fits Magnify image EchelleThAr.0001.fits to image EchelleThAr.0001.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.0001.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0001.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0002.fits Magnify image EchelleThAr.0002.fits to image EchelleThAr.0002.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.0002.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0002.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0003.fits Magnify image EchelleThAr.0003.fits to image EchelleThAr.0003.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.0003.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0003.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0004.fits Magnify image EchelleThAr.0004.fits to image EchelleThAr.0004.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.0004.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0004.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120510.0011 Magnify image 120510.0011 to image 120510.0011. 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 120510.0011,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120510.0011 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120510.0011 -> noscat120510.0011 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120510.0012 Magnify image 120510.0012 to image 120510.0012. 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 120510.0012,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120510.0012 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120510.0012 -> noscat120510.0012 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120510.0013 Magnify image 120510.0013 to image 120510.0013. 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 120510.0013,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120510.0013 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120510.0013 -> noscat120510.0013 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120510.0014 Magnify image 120510.0014 to image 120510.0014. 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 120510.0014,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120510.0014 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120510.0014 -> noscat120510.0014 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add EchelleThAr.0001.ec.fits,REFSPEC1 = EchelleThAr.0001.ec.fits EchelleThAr.0001.ec.fits updated add EchelleThAr.0002.ec.fits,REFSPEC1 = EchelleThAr.0002.ec.fits EchelleThAr.0002.ec.fits updated add EchelleThAr.0003.ec.fits,REFSPEC1 = EchelleThAr.0003.ec.fits EchelleThAr.0003.ec.fits updated add EchelleThAr.0004.ec.fits,REFSPEC1 = EchelleThAr.0004.ec.fits EchelleThAr.0004.ec.fits updated Flatfielding extracted arcs and object spectra... parameter EchelleThAr.0001.ec.fits,UTMIDDLE already exists EchelleThAr.0001.ec.fits updated EchelleThAr.0001.ec.fits,UTMIDDLE: 07:18:48.129 -> 07:19:22.129003 EchelleThAr.0001.ec.fits updated parameter EchelleThAr.0002.ec.fits,UTMIDDLE already exists EchelleThAr.0002.ec.fits updated EchelleThAr.0002.ec.fits,UTMIDDLE: 07:21:39.964 -> 07:22:13.964213 EchelleThAr.0002.ec.fits updated parameter EchelleThAr.0003.ec.fits,UTMIDDLE already exists EchelleThAr.0003.ec.fits updated EchelleThAr.0003.ec.fits,UTMIDDLE: 07:24:42.503 -> 07:25:16.503203 EchelleThAr.0003.ec.fits updated parameter EchelleThAr.0004.ec.fits,UTMIDDLE already exists EchelleThAr.0004.ec.fits updated EchelleThAr.0004.ec.fits,UTMIDDLE: 07:27:44.938 -> 07:28:18.937743 EchelleThAr.0004.ec.fits updated parameter 120510.0011.ec.fits,UTMIDDLE already exists 120510.0011.ec.fits updated 120510.0011.ec.fits,UTMIDDLE: 10:21:50.001 -> 10:22:24.000912 120510.0011.ec.fits updated parameter 120510.0012.ec.fits,UTMIDDLE already exists 120510.0012.ec.fits updated 120510.0012.ec.fits,UTMIDDLE: 10:54:27.673 -> 10:55:01.672756 120510.0012.ec.fits updated parameter 120510.0013.ec.fits,UTMIDDLE already exists 120510.0013.ec.fits updated 120510.0013.ec.fits,UTMIDDLE: 11:22:44.278 -> 11:23:18.278160 120510.0013.ec.fits updated parameter 120510.0014.ec.fits,UTMIDDLE already exists 120510.0014.ec.fits updated 120510.0014.ec.fits,UTMIDDLE: 11:40:29.276 -> 11:41:03.276528 120510.0014.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 120510.0011.ec.fits 2456058.93222 2456058.93282 2456058 120510.0012.ec.fits 2456058.95488 2456058.95548 2456058 120510.0013.ec.fits 2456058.97452 2456058.97518 2456058 120510.0014.ec.fits 2456058.98684 2456058.98784 2456058 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 14:52:11 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0001.ec 1292/1599 1292/1292 -3.39 24.6 4.32E-5 0.0114 EchelleThAr.0002.ec 1596/1599 1596/1596 -3.4 24.6 4.33E-5 0.00635 EchelleThAr.0003.ec 1595/1599 1595/1595 -3.39 24.6 4.32E-5 0.00602 EchelleThAr.0004.ec 1594/1599 1594/1594 -3.38 24.5 4.30E-5 0.00602 [120510.0011.ec] refspec1='EchelleThAr.0004.ec' [120510.0012.ec] refspec1='EchelleThAr.0004.ec' [120510.0013.ec] refspec1='EchelleThAr.0004.ec' [120510.0014.ec] refspec1='EchelleThAr.0004.ec' [EchelleThAr.0001.ec] refspec1='EchelleThAr.0001.ec' [EchelleThAr.0002.ec] refspec1='EchelleThAr.0002.ec' [EchelleThAr.0003.ec] refspec1='EchelleThAr.0003.ec' [EchelleThAr.0004.ec] refspec1='EchelleThAr.0004.ec' 120510.0011.ec.fits: REFSPEC1 = 'EchelleThAr.0004.ec 1.' 120510.0011.ec.fits: ap = 1, w1 = 10648.36, w2 = 10427.3, dw = -0.13397, nw = 1651 120510.0011.ec.fits: ap = 2, w1 = 10454.77, w2 = 10237.73, dw = -0.13154, nw = 1651 120510.0011.ec.fits: ap = 3, w1 = 10268.09, w2 = 10054.93, dw = -0.12919, nw = 1651 120510.0011.ec.fits: ap = 4, w1 = 10087.96, w2 = 9878.542, dw = -0.12692, nw = 1651 120510.0011.ec.fits: ap = 5, w1 = 9914.04, w2 = 9708.237, dw = -0.12473, nw = 1651 120510.0011.ec.fits: ap = 6, w1 = 9746.018, w2 = 9543.705, dw = -0.12261, nw = 1651 120510.0011.ec.fits: ap = 7, w1 = 9583.596, w2 = 9384.657, dw = -0.12057, nw = 1651 120510.0011.ec.fits: ap = 8, w1 = 9426.5, w2 = 9230.824, dw = -0.11859, nw = 1651 120510.0011.ec.fits: ap = 9, w1 = 9274.471, w2 = 9081.953, dw = -0.11668, nw = 1651 120510.0011.ec.fits: ap = 10, w1 = 9127.268, w2 = 8937.809, dw = -0.11482, nw = 1651 120510.0011.ec.fits: ap = 11, w1 = 8984.665, w2 = 8798.169, dw = -0.11303, nw = 1651 120510.0011.ec.fits: ap = 12, w1 = 8846.451, w2 = 8662.825, dw = -0.11129, nw = 1651 120510.0011.ec.fits: ap = 13, w1 = 8712.424, w2 = 8531.583, dw = -0.1096, nw = 1651 120510.0011.ec.fits: ap = 14, w1 = 8582.398, w2 = 8404.259, dw = -0.10796, nw = 1651 120510.0011.ec.fits: ap = 15, w1 = 8456.197, w2 = 8280.679, dw = -0.10637, nw = 1651 120510.0011.ec.fits: ap = 16, w1 = 8333.653, w2 = 8160.681, dw = -0.10483, nw = 1651 120510.0011.ec.fits: ap = 17, w1 = 8214.611, w2 = 8044.112, dw = -0.10333, nw = 1651 120510.0011.ec.fits: ap = 18, w1 = 8098.922, w2 = 7930.827, dw = -0.10188, nw = 1651 120510.0011.ec.fits: ap = 19, w1 = 7986.447, w2 = 7820.688, dw = -0.10046, nw = 1651 120510.0011.ec.fits: ap = 20, w1 = 7877.053, w2 = 7713.567, dw = -0.09908, nw = 1651 120510.0011.ec.fits: ap = 21, w1 = 7770.615, w2 = 7609.341, dw = -0.09774, nw = 1651 120510.0011.ec.fits: ap = 22, w1 = 7667.017, w2 = 7507.895, dw = -0.09644, nw = 1651 120510.0011.ec.fits: ap = 23, w1 = 7566.144, w2 = 7409.118, dw = -0.09517, nw = 1651 120510.0011.ec.fits: ap = 24, w1 = 7467.891, w2 = 7312.907, dw = -0.09393, nw = 1651 120510.0011.ec.fits: ap = 25, w1 = 7372.158, w2 = 7219.163, dw = -0.09272, nw = 1651 120510.0011.ec.fits: ap = 26, w1 = 7278.849, w2 = 7127.792, dw = -0.09155, nw = 1651 120510.0011.ec.fits: ap = 27, w1 = 7187.872, w2 = 7038.705, dw = -0.0904, nw = 1651 120510.0011.ec.fits: ap = 28, w1 = 7099.141, w2 = 6951.818, dw = -0.08929, nw = 1651 120510.0011.ec.fits: ap = 29, w1 = 7012.575, w2 = 6867.051, dw = -0.0882, nw = 1651 120510.0011.ec.fits: ap = 30, w1 = 6928.095, w2 = 6784.326, dw = -0.08713, nw = 1651 120510.0011.ec.fits: ap = 31, w1 = 6845.626, w2 = 6703.57, dw = -0.08609, nw = 1651 120510.0011.ec.fits: ap = 32, w1 = 6765.098, w2 = 6624.715, dw = -0.08508, nw = 1651 120510.0011.ec.fits: ap = 33, w1 = 6686.442, w2 = 6547.694, dw = -0.08409, nw = 1651 120510.0011.ec.fits: ap = 34, w1 = 6609.595, w2 = 6472.443, dw = -0.08312, nw = 1651 120510.0011.ec.fits: ap = 35, w1 = 6534.494, w2 = 6398.903, dw = -0.08218, nw = 1651 120510.0011.ec.fits: ap = 36, w1 = 6461.081, w2 = 6327.015, dw = -0.08125, nw = 1651 120510.0011.ec.fits: ap = 37, w1 = 6389.299, w2 = 6256.725, dw = -0.08035, nw = 1651 120510.0011.ec.fits: ap = 38, w1 = 6319.095, w2 = 6187.98, dw = -0.07946, nw = 1651 120510.0011.ec.fits: ap = 39, w1 = 6250.418, w2 = 6120.729, dw = -0.0786, nw = 1651 120510.0011.ec.fits: ap = 40, w1 = 6183.217, w2 = 6054.924, dw = -0.07775, nw = 1651 120510.0011.ec.fits: ap = 41, w1 = 6117.446, w2 = 5990.52, dw = -0.07692, nw = 1651 120510.0011.ec.fits: ap = 42, w1 = 6053.06, w2 = 5927.472, dw = -0.07611, nw = 1651 120510.0011.ec.fits: ap = 43, w1 = 5990.015, w2 = 5865.737, dw = -0.07532, nw = 1651 120510.0011.ec.fits: ap = 44, w1 = 5928.27, w2 = 5805.275, dw = -0.07454, nw = 1651 120510.0011.ec.fits: ap = 45, w1 = 5867.786, w2 = 5746.047, dw = -0.07378, nw = 1651 120510.0011.ec.fits: ap = 46, w1 = 5808.523, w2 = 5688.016, dw = -0.07303, nw = 1651 120510.0011.ec.fits: ap = 47, w1 = 5750.446, w2 = 5631.145, dw = -0.0723, nw = 1651 120510.0011.ec.fits: ap = 48, w1 = 5693.519, w2 = 5575.401, dw = -0.07159, nw = 1651 120510.0011.ec.fits: ap = 49, w1 = 5637.708, w2 = 5520.75, dw = -0.07088, nw = 1651 120510.0011.ec.fits: ap = 50, w1 = 5582.981, w2 = 5467.16, dw = -0.07019, nw = 1651 120510.0011.ec.fits: ap = 51, w1 = 5529.306, w2 = 5414.6, dw = -0.06952, nw = 1651 120510.0011.ec.fits: ap = 52, w1 = 5476.654, w2 = 5363.042, dw = -0.06886, nw = 1651 120510.0011.ec.fits: ap = 53, w1 = 5424.995, w2 = 5312.457, dw = -0.06821, nw = 1651 120510.0011.ec.fits: ap = 54, w1 = 5374.302, w2 = 5262.817, dw = -0.06757, nw = 1651 120510.0011.ec.fits: ap = 55, w1 = 5324.548, w2 = 5214.096, dw = -0.06694, nw = 1651 120510.0011.ec.fits: ap = 56, w1 = 5275.707, w2 = 5166.27, dw = -0.06633, nw = 1651 120510.0011.ec.fits: ap = 57, w1 = 5227.754, w2 = 5119.313, dw = -0.06572, nw = 1651 120510.0011.ec.fits: ap = 58, w1 = 5180.665, w2 = 5073.203, dw = -0.06513, nw = 1651 120510.0011.ec.fits: ap = 59, w1 = 5134.417, w2 = 5027.915, dw = -0.06455, nw = 1651 120510.0011.ec.fits: ap = 60, w1 = 5088.988, w2 = 4983.43, dw = -0.06397, nw = 1651 120510.0011.ec.fits: ap = 61, w1 = 5044.356, w2 = 4939.725, dw = -0.06341, nw = 1651 120510.0011.ec.fits: ap = 62, w1 = 5000.5, w2 = 4896.78, dw = -0.06286, nw = 1651 120510.0011.ec.fits: ap = 63, w1 = 4957.4, w2 = 4854.576, dw = -0.06232, nw = 1651 120510.0011.ec.fits: ap = 64, w1 = 4915.037, w2 = 4813.093, dw = -0.06178, nw = 1651 120510.0011.ec.fits: ap = 65, w1 = 4873.392, w2 = 4772.313, dw = -0.06126, nw = 1651 120510.0011.ec.fits: ap = 66, w1 = 4832.448, w2 = 4732.219, dw = -0.06074, nw = 1651 120510.0011.ec.fits: ap = 67, w1 = 4792.186, w2 = 4692.793, dw = -0.06024, nw = 1651 120510.0011.ec.fits: ap = 68, w1 = 4752.589, w2 = 4654.019, dw = -0.05974, nw = 1651 120510.0011.ec.fits: ap = 69, w1 = 4713.641, w2 = 4615.881, dw = -0.05925, nw = 1651 120510.0011.ec.fits: ap = 70, w1 = 4675.327, w2 = 4578.363, dw = -0.05877, nw = 1651 120510.0011.ec.fits: ap = 71, w1 = 4637.632, w2 = 4541.45, dw = -0.05829, nw = 1651 120510.0011.ec.fits: ap = 72, w1 = 4600.539, w2 = 4505.127, dw = -0.05783, nw = 1651 120510.0011.ec.fits: ap = 73, w1 = 4564.035, w2 = 4469.382, dw = -0.05737, nw = 1651 120510.0011.ec.fits: ap = 74, w1 = 4528.106, w2 = 4434.199, dw = -0.05691, nw = 1651 120510.0011.ec.fits: ap = 75, w1 = 4492.739, w2 = 4399.566, dw = -0.05647, nw = 1651 120510.0011.ec.fits: ap = 76, w1 = 4457.92, w2 = 4365.471, dw = -0.05603, nw = 1651 120510.0011.ec.fits: ap = 77, w1 = 4423.637, w2 = 4331.899, dw = -0.0556, nw = 1651 120510.0011.ec.fits: ap = 78, w1 = 4389.877, w2 = 4298.841, dw = -0.05517, nw = 1651 120510.0011.ec.fits: ap = 79, w1 = 4356.629, w2 = 4266.283, dw = -0.05475, nw = 1651 120510.0011.ec.fits: ap = 80, w1 = 4323.881, w2 = 4234.216, dw = -0.05434, nw = 1651 120510.0011.ec.fits: ap = 81, w1 = 4291.622, w2 = 4202.626, dw = -0.05394, nw = 1651 120510.0011.ec.fits: ap = 82, w1 = 4259.841, w2 = 4171.505, dw = -0.05354, nw = 1651 120510.0011.ec.fits: ap = 83, w1 = 4228.528, w2 = 4140.842, dw = -0.05314, nw = 1651 120510.0011.ec.fits: ap = 84, w1 = 4197.671, w2 = 4110.627, dw = -0.05275, nw = 1651 120510.0011.ec.fits: ap = 85, w1 = 4167.262, w2 = 4080.849, dw = -0.05237, nw = 1651 120510.0011.ec.fits: ap = 86, w1 = 4137.291, w2 = 4051.5, dw = -0.05199, nw = 1651 120510.0011.ec.fits: ap = 87, w1 = 4107.748, w2 = 4022.57, dw = -0.05162, nw = 1651 120510.0011.ec.fits: ap = 88, w1 = 4078.624, w2 = 3994.051, dw = -0.05126, nw = 1651 120510.0011.ec.fits: ap = 89, w1 = 4049.911, w2 = 3965.934, dw = -0.0509, nw = 1651 120510.0011.ec.fits: ap = 90, w1 = 4021.599, w2 = 3938.21, dw = -0.05054, nw = 1651 120510.0011.ec.fits: ap = 91, w1 = 3993.68, w2 = 3910.871, dw = -0.05019, nw = 1651 120510.0011.ec.fits: ap = 92, w1 = 3966.147, w2 = 3883.909, dw = -0.04984, nw = 1651 120510.0011.ec.fits: ap = 93, w1 = 3938.991, w2 = 3857.317, dw = -0.0495, nw = 1651 120510.0011.ec.fits: ap = 94, w1 = 3912.204, w2 = 3831.086, dw = -0.04916, nw = 1651 120510.0011.ec.fits: ap = 95, w1 = 3885.78, w2 = 3805.211, dw = -0.04883, nw = 1651 120510.0011.ec.fits: ap = 96, w1 = 3859.711, w2 = 3779.682, dw = -0.0485, nw = 1651 120510.0011.ec.fits: ap = 97, w1 = 3833.989, w2 = 3754.494, dw = -0.04818, nw = 1651 120510.0011.ec.fits: ap = 98, w1 = 3808.608, w2 = 3729.64, dw = -0.04786, nw = 1651 120510.0011.ec.fits: ap = 99, w1 = 3783.561, w2 = 3705.113, dw = -0.04754, nw = 1651 120510.0011.ec.fits: ap = 100, w1 = 3758.842, w2 = 3680.907, dw = -0.04723, nw = 1651 120510.0011.ec.fits: ap = 101, w1 = 3734.444, w2 = 3657.015, dw = -0.04693, nw = 1651 120510.0011.ec.fits: ap = 102, w1 = 3710.36, w2 = 3633.431, dw = -0.04662, nw = 1651 120510.0011.ec.fits: ap = 103, w1 = 3686.586, w2 = 3610.15, dw = -0.04632, nw = 1651 120510.0011.ec.fits: ap = 104, w1 = 3663.115, w2 = 3587.166, dw = -0.04603, nw = 1651 120510.0011.ec.fits: ap = 105, w1 = 3639.941, w2 = 3564.472, dw = -0.04574, nw = 1651 120510.0011.ec.fits: ap = 106, w1 = 3617.058, w2 = 3542.065, dw = -0.04545, nw = 1651 120510.0011.ec.fits: ap = 107, w1 = 3594.462, w2 = 3519.937, dw = -0.04517, nw = 1651 120510.0012.ec.fits: REFSPEC1 = 'EchelleThAr.0004.ec 1.' 120510.0012.ec.fits: ap = 1, w1 = 10648.36, w2 = 10427.3, dw = -0.13397, nw = 1651 120510.0012.ec.fits: ap = 2, w1 = 10454.77, w2 = 10237.73, dw = -0.13154, nw = 1651 120510.0012.ec.fits: ap = 3, w1 = 10268.09, w2 = 10054.93, dw = -0.12919, nw = 1651 120510.0012.ec.fits: ap = 4, w1 = 10087.96, w2 = 9878.542, dw = -0.12692, nw = 1651 120510.0012.ec.fits: ap = 5, w1 = 9914.04, w2 = 9708.237, dw = -0.12473, nw = 1651 120510.0012.ec.fits: ap = 6, w1 = 9746.018, w2 = 9543.705, dw = -0.12261, nw = 1651 120510.0012.ec.fits: ap = 7, w1 = 9583.596, w2 = 9384.657, dw = -0.12057, nw = 1651 120510.0012.ec.fits: ap = 8, w1 = 9426.5, w2 = 9230.824, dw = -0.11859, nw = 1651 120510.0012.ec.fits: ap = 9, w1 = 9274.471, w2 = 9081.953, dw = -0.11668, nw = 1651 120510.0012.ec.fits: ap = 10, w1 = 9127.268, w2 = 8937.809, dw = -0.11482, nw = 1651 120510.0012.ec.fits: ap = 11, w1 = 8984.665, w2 = 8798.169, dw = -0.11303, nw = 1651 120510.0012.ec.fits: ap = 12, w1 = 8846.451, w2 = 8662.825, dw = -0.11129, nw = 1651 120510.0012.ec.fits: ap = 13, w1 = 8712.424, w2 = 8531.583, dw = -0.1096, nw = 1651 120510.0012.ec.fits: ap = 14, w1 = 8582.398, w2 = 8404.259, dw = -0.10796, nw = 1651 120510.0012.ec.fits: ap = 15, w1 = 8456.197, w2 = 8280.679, dw = -0.10637, nw = 1651 120510.0012.ec.fits: ap = 16, w1 = 8333.653, w2 = 8160.681, dw = -0.10483, nw = 1651 120510.0012.ec.fits: ap = 17, w1 = 8214.611, w2 = 8044.112, dw = -0.10333, nw = 1651 120510.0012.ec.fits: ap = 18, w1 = 8098.922, w2 = 7930.827, dw = -0.10188, nw = 1651 120510.0012.ec.fits: ap = 19, w1 = 7986.447, w2 = 7820.688, dw = -0.10046, nw = 1651 120510.0012.ec.fits: ap = 20, w1 = 7877.053, w2 = 7713.567, dw = -0.09908, nw = 1651 120510.0012.ec.fits: ap = 21, w1 = 7770.615, w2 = 7609.341, dw = -0.09774, nw = 1651 120510.0012.ec.fits: ap = 22, w1 = 7667.017, w2 = 7507.895, dw = -0.09644, nw = 1651 120510.0012.ec.fits: ap = 23, w1 = 7566.144, w2 = 7409.118, dw = -0.09517, nw = 1651 120510.0012.ec.fits: ap = 24, w1 = 7467.891, w2 = 7312.907, dw = -0.09393, nw = 1651 120510.0012.ec.fits: ap = 25, w1 = 7372.158, w2 = 7219.163, dw = -0.09272, nw = 1651 120510.0012.ec.fits: ap = 26, w1 = 7278.849, w2 = 7127.792, dw = -0.09155, nw = 1651 120510.0012.ec.fits: ap = 27, w1 = 7187.872, w2 = 7038.705, dw = -0.0904, nw = 1651 120510.0012.ec.fits: ap = 28, w1 = 7099.141, w2 = 6951.818, dw = -0.08929, nw = 1651 120510.0012.ec.fits: ap = 29, w1 = 7012.575, w2 = 6867.051, dw = -0.0882, nw = 1651 120510.0012.ec.fits: ap = 30, w1 = 6928.095, w2 = 6784.326, dw = -0.08713, nw = 1651 120510.0012.ec.fits: ap = 31, w1 = 6845.626, w2 = 6703.57, dw = -0.08609, nw = 1651 120510.0012.ec.fits: ap = 32, w1 = 6765.098, w2 = 6624.715, dw = -0.08508, nw = 1651 120510.0012.ec.fits: ap = 33, w1 = 6686.442, w2 = 6547.694, dw = -0.08409, nw = 1651 120510.0012.ec.fits: ap = 34, w1 = 6609.595, w2 = 6472.443, dw = -0.08312, nw = 1651 120510.0012.ec.fits: ap = 35, w1 = 6534.494, w2 = 6398.903, dw = -0.08218, nw = 1651 120510.0012.ec.fits: ap = 36, w1 = 6461.081, w2 = 6327.015, dw = -0.08125, nw = 1651 120510.0012.ec.fits: ap = 37, w1 = 6389.299, w2 = 6256.725, dw = -0.08035, nw = 1651 120510.0012.ec.fits: ap = 38, w1 = 6319.095, w2 = 6187.98, dw = -0.07946, nw = 1651 120510.0012.ec.fits: ap = 39, w1 = 6250.418, w2 = 6120.729, dw = -0.0786, nw = 1651 120510.0012.ec.fits: ap = 40, w1 = 6183.217, w2 = 6054.924, dw = -0.07775, nw = 1651 120510.0012.ec.fits: ap = 41, w1 = 6117.446, w2 = 5990.52, dw = -0.07692, nw = 1651 120510.0012.ec.fits: ap = 42, w1 = 6053.06, w2 = 5927.472, dw = -0.07611, nw = 1651 120510.0012.ec.fits: ap = 43, w1 = 5990.015, w2 = 5865.737, dw = -0.07532, nw = 1651 120510.0012.ec.fits: ap = 44, w1 = 5928.27, w2 = 5805.275, dw = -0.07454, nw = 1651 120510.0012.ec.fits: ap = 45, w1 = 5867.786, w2 = 5746.047, dw = -0.07378, nw = 1651 120510.0012.ec.fits: ap = 46, w1 = 5808.523, w2 = 5688.016, dw = -0.07303, nw = 1651 120510.0012.ec.fits: ap = 47, w1 = 5750.446, w2 = 5631.145, dw = -0.0723, nw = 1651 120510.0012.ec.fits: ap = 48, w1 = 5693.519, w2 = 5575.401, dw = -0.07159, nw = 1651 120510.0012.ec.fits: ap = 49, w1 = 5637.708, w2 = 5520.75, dw = -0.07088, nw = 1651 120510.0012.ec.fits: ap = 50, w1 = 5582.981, w2 = 5467.16, dw = -0.07019, nw = 1651 120510.0012.ec.fits: ap = 51, w1 = 5529.306, w2 = 5414.6, dw = -0.06952, nw = 1651 120510.0012.ec.fits: ap = 52, w1 = 5476.654, w2 = 5363.042, dw = -0.06886, nw = 1651 120510.0012.ec.fits: ap = 53, w1 = 5424.995, w2 = 5312.457, dw = -0.06821, nw = 1651 120510.0012.ec.fits: ap = 54, w1 = 5374.302, w2 = 5262.817, dw = -0.06757, nw = 1651 120510.0012.ec.fits: ap = 55, w1 = 5324.548, w2 = 5214.096, dw = -0.06694, nw = 1651 120510.0012.ec.fits: ap = 56, w1 = 5275.707, w2 = 5166.27, dw = -0.06633, nw = 1651 120510.0012.ec.fits: ap = 57, w1 = 5227.754, w2 = 5119.313, dw = -0.06572, nw = 1651 120510.0012.ec.fits: ap = 58, w1 = 5180.665, w2 = 5073.203, dw = -0.06513, nw = 1651 120510.0012.ec.fits: ap = 59, w1 = 5134.417, w2 = 5027.915, dw = -0.06455, nw = 1651 120510.0012.ec.fits: ap = 60, w1 = 5088.988, w2 = 4983.43, dw = -0.06397, nw = 1651 120510.0012.ec.fits: ap = 61, w1 = 5044.356, w2 = 4939.725, dw = -0.06341, nw = 1651 120510.0012.ec.fits: ap = 62, w1 = 5000.5, w2 = 4896.78, dw = -0.06286, nw = 1651 120510.0012.ec.fits: ap = 63, w1 = 4957.4, w2 = 4854.576, dw = -0.06232, nw = 1651 120510.0012.ec.fits: ap = 64, w1 = 4915.037, w2 = 4813.093, dw = -0.06178, nw = 1651 120510.0012.ec.fits: ap = 65, w1 = 4873.392, w2 = 4772.313, dw = -0.06126, nw = 1651 120510.0012.ec.fits: ap = 66, w1 = 4832.448, w2 = 4732.219, dw = -0.06074, nw = 1651 120510.0012.ec.fits: ap = 67, w1 = 4792.186, w2 = 4692.793, dw = -0.06024, nw = 1651 120510.0012.ec.fits: ap = 68, w1 = 4752.589, w2 = 4654.019, dw = -0.05974, nw = 1651 120510.0012.ec.fits: ap = 69, w1 = 4713.641, w2 = 4615.881, dw = -0.05925, nw = 1651 120510.0012.ec.fits: ap = 70, w1 = 4675.327, w2 = 4578.363, dw = -0.05877, nw = 1651 120510.0012.ec.fits: ap = 71, w1 = 4637.632, w2 = 4541.45, dw = -0.05829, nw = 1651 120510.0012.ec.fits: ap = 72, w1 = 4600.539, w2 = 4505.127, dw = -0.05783, nw = 1651 120510.0012.ec.fits: ap = 73, w1 = 4564.035, w2 = 4469.382, dw = -0.05737, nw = 1651 120510.0012.ec.fits: ap = 74, w1 = 4528.106, w2 = 4434.199, dw = -0.05691, nw = 1651 120510.0012.ec.fits: ap = 75, w1 = 4492.739, w2 = 4399.566, dw = -0.05647, nw = 1651 120510.0012.ec.fits: ap = 76, w1 = 4457.92, w2 = 4365.471, dw = -0.05603, nw = 1651 120510.0012.ec.fits: ap = 77, w1 = 4423.637, w2 = 4331.899, dw = -0.0556, nw = 1651 120510.0012.ec.fits: ap = 78, w1 = 4389.877, w2 = 4298.841, dw = -0.05517, nw = 1651 120510.0012.ec.fits: ap = 79, w1 = 4356.629, w2 = 4266.283, dw = -0.05475, nw = 1651 120510.0012.ec.fits: ap = 80, w1 = 4323.881, w2 = 4234.216, dw = -0.05434, nw = 1651 120510.0012.ec.fits: ap = 81, w1 = 4291.622, w2 = 4202.626, dw = -0.05394, nw = 1651 120510.0012.ec.fits: ap = 82, w1 = 4259.841, w2 = 4171.505, dw = -0.05354, nw = 1651 120510.0012.ec.fits: ap = 83, w1 = 4228.528, w2 = 4140.842, dw = -0.05314, nw = 1651 120510.0012.ec.fits: ap = 84, w1 = 4197.671, w2 = 4110.627, dw = -0.05275, nw = 1651 120510.0012.ec.fits: ap = 85, w1 = 4167.262, w2 = 4080.849, dw = -0.05237, nw = 1651 120510.0012.ec.fits: ap = 86, w1 = 4137.291, w2 = 4051.5, dw = -0.05199, nw = 1651 120510.0012.ec.fits: ap = 87, w1 = 4107.748, w2 = 4022.57, dw = -0.05162, nw = 1651 120510.0012.ec.fits: ap = 88, w1 = 4078.624, w2 = 3994.051, dw = -0.05126, nw = 1651 120510.0012.ec.fits: ap = 89, w1 = 4049.911, w2 = 3965.934, dw = -0.0509, nw = 1651 120510.0012.ec.fits: ap = 90, w1 = 4021.599, w2 = 3938.21, dw = -0.05054, nw = 1651 120510.0012.ec.fits: ap = 91, w1 = 3993.68, w2 = 3910.871, dw = -0.05019, nw = 1651 120510.0012.ec.fits: ap = 92, w1 = 3966.147, w2 = 3883.909, dw = -0.04984, nw = 1651 120510.0012.ec.fits: ap = 93, w1 = 3938.991, w2 = 3857.317, dw = -0.0495, nw = 1651 120510.0012.ec.fits: ap = 94, w1 = 3912.204, w2 = 3831.086, dw = -0.04916, nw = 1651 120510.0012.ec.fits: ap = 95, w1 = 3885.78, w2 = 3805.211, dw = -0.04883, nw = 1651 120510.0012.ec.fits: ap = 96, w1 = 3859.711, w2 = 3779.682, dw = -0.0485, nw = 1651 120510.0012.ec.fits: ap = 97, w1 = 3833.989, w2 = 3754.494, dw = -0.04818, nw = 1651 120510.0012.ec.fits: ap = 98, w1 = 3808.608, w2 = 3729.64, dw = -0.04786, nw = 1651 120510.0012.ec.fits: ap = 99, w1 = 3783.561, w2 = 3705.113, dw = -0.04754, nw = 1651 120510.0012.ec.fits: ap = 100, w1 = 3758.842, w2 = 3680.907, dw = -0.04723, nw = 1651 120510.0012.ec.fits: ap = 101, w1 = 3734.444, w2 = 3657.015, dw = -0.04693, nw = 1651 120510.0012.ec.fits: ap = 102, w1 = 3710.36, w2 = 3633.431, dw = -0.04662, nw = 1651 120510.0012.ec.fits: ap = 103, w1 = 3686.586, w2 = 3610.15, dw = -0.04632, nw = 1651 120510.0012.ec.fits: ap = 104, w1 = 3663.115, w2 = 3587.166, dw = -0.04603, nw = 1651 120510.0012.ec.fits: ap = 105, w1 = 3639.941, w2 = 3564.472, dw = -0.04574, nw = 1651 120510.0012.ec.fits: ap = 106, w1 = 3617.058, w2 = 3542.065, dw = -0.04545, nw = 1651 120510.0012.ec.fits: ap = 107, w1 = 3594.462, w2 = 3519.937, dw = -0.04517, nw = 1651 120510.0013.ec.fits: REFSPEC1 = 'EchelleThAr.0004.ec 1.' 120510.0013.ec.fits: ap = 1, w1 = 10648.36, w2 = 10427.3, dw = -0.13397, nw = 1651 120510.0013.ec.fits: ap = 2, w1 = 10454.77, w2 = 10237.73, dw = -0.13154, nw = 1651 120510.0013.ec.fits: ap = 3, w1 = 10268.09, w2 = 10054.93, dw = -0.12919, nw = 1651 120510.0013.ec.fits: ap = 4, w1 = 10087.96, w2 = 9878.542, dw = -0.12692, nw = 1651 120510.0013.ec.fits: ap = 5, w1 = 9914.04, w2 = 9708.237, dw = -0.12473, nw = 1651 120510.0013.ec.fits: ap = 6, w1 = 9746.018, w2 = 9543.705, dw = -0.12261, nw = 1651 120510.0013.ec.fits: ap = 7, w1 = 9583.596, w2 = 9384.657, dw = -0.12057, nw = 1651 120510.0013.ec.fits: ap = 8, w1 = 9426.5, w2 = 9230.824, dw = -0.11859, nw = 1651 120510.0013.ec.fits: ap = 9, w1 = 9274.471, w2 = 9081.953, dw = -0.11668, nw = 1651 120510.0013.ec.fits: ap = 10, w1 = 9127.268, w2 = 8937.809, dw = -0.11482, nw = 1651 120510.0013.ec.fits: ap = 11, w1 = 8984.665, w2 = 8798.169, dw = -0.11303, nw = 1651 120510.0013.ec.fits: ap = 12, w1 = 8846.451, w2 = 8662.825, dw = -0.11129, nw = 1651 120510.0013.ec.fits: ap = 13, w1 = 8712.424, w2 = 8531.583, dw = -0.1096, nw = 1651 120510.0013.ec.fits: ap = 14, w1 = 8582.398, w2 = 8404.259, dw = -0.10796, nw = 1651 120510.0013.ec.fits: ap = 15, w1 = 8456.197, w2 = 8280.679, dw = -0.10637, nw = 1651 120510.0013.ec.fits: ap = 16, w1 = 8333.653, w2 = 8160.681, dw = -0.10483, nw = 1651 120510.0013.ec.fits: ap = 17, w1 = 8214.611, w2 = 8044.112, dw = -0.10333, nw = 1651 120510.0013.ec.fits: ap = 18, w1 = 8098.922, w2 = 7930.827, dw = -0.10188, nw = 1651 120510.0013.ec.fits: ap = 19, w1 = 7986.447, w2 = 7820.688, dw = -0.10046, nw = 1651 120510.0013.ec.fits: ap = 20, w1 = 7877.053, w2 = 7713.567, dw = -0.09908, nw = 1651 120510.0013.ec.fits: ap = 21, w1 = 7770.615, w2 = 7609.341, dw = -0.09774, nw = 1651 120510.0013.ec.fits: ap = 22, w1 = 7667.017, w2 = 7507.895, dw = -0.09644, nw = 1651 120510.0013.ec.fits: ap = 23, w1 = 7566.144, w2 = 7409.118, dw = -0.09517, nw = 1651 120510.0013.ec.fits: ap = 24, w1 = 7467.891, w2 = 7312.907, dw = -0.09393, nw = 1651 120510.0013.ec.fits: ap = 25, w1 = 7372.158, w2 = 7219.163, dw = -0.09272, nw = 1651 120510.0013.ec.fits: ap = 26, w1 = 7278.849, w2 = 7127.792, dw = -0.09155, nw = 1651 120510.0013.ec.fits: ap = 27, w1 = 7187.872, w2 = 7038.705, dw = -0.0904, nw = 1651 120510.0013.ec.fits: ap = 28, w1 = 7099.141, w2 = 6951.818, dw = -0.08929, nw = 1651 120510.0013.ec.fits: ap = 29, w1 = 7012.575, w2 = 6867.051, dw = -0.0882, nw = 1651 120510.0013.ec.fits: ap = 30, w1 = 6928.095, w2 = 6784.326, dw = -0.08713, nw = 1651 120510.0013.ec.fits: ap = 31, w1 = 6845.626, w2 = 6703.57, dw = -0.08609, nw = 1651 120510.0013.ec.fits: ap = 32, w1 = 6765.098, w2 = 6624.715, dw = -0.08508, nw = 1651 120510.0013.ec.fits: ap = 33, w1 = 6686.442, w2 = 6547.694, dw = -0.08409, nw = 1651 120510.0013.ec.fits: ap = 34, w1 = 6609.595, w2 = 6472.443, dw = -0.08312, nw = 1651 120510.0013.ec.fits: ap = 35, w1 = 6534.494, w2 = 6398.903, dw = -0.08218, nw = 1651 120510.0013.ec.fits: ap = 36, w1 = 6461.081, w2 = 6327.015, dw = -0.08125, nw = 1651 120510.0013.ec.fits: ap = 37, w1 = 6389.299, w2 = 6256.725, dw = -0.08035, nw = 1651 120510.0013.ec.fits: ap = 38, w1 = 6319.095, w2 = 6187.98, dw = -0.07946, nw = 1651 120510.0013.ec.fits: ap = 39, w1 = 6250.418, w2 = 6120.729, dw = -0.0786, nw = 1651 120510.0013.ec.fits: ap = 40, w1 = 6183.217, w2 = 6054.924, dw = -0.07775, nw = 1651 120510.0013.ec.fits: ap = 41, w1 = 6117.446, w2 = 5990.52, dw = -0.07692, nw = 1651 120510.0013.ec.fits: ap = 42, w1 = 6053.06, w2 = 5927.472, dw = -0.07611, nw = 1651 120510.0013.ec.fits: ap = 43, w1 = 5990.015, w2 = 5865.737, dw = -0.07532, nw = 1651 120510.0013.ec.fits: ap = 44, w1 = 5928.27, w2 = 5805.275, dw = -0.07454, nw = 1651 120510.0013.ec.fits: ap = 45, w1 = 5867.786, w2 = 5746.047, dw = -0.07378, nw = 1651 120510.0013.ec.fits: ap = 46, w1 = 5808.523, w2 = 5688.016, dw = -0.07303, nw = 1651 120510.0013.ec.fits: ap = 47, w1 = 5750.446, w2 = 5631.145, dw = -0.0723, nw = 1651 120510.0013.ec.fits: ap = 48, w1 = 5693.519, w2 = 5575.401, dw = -0.07159, nw = 1651 120510.0013.ec.fits: ap = 49, w1 = 5637.708, w2 = 5520.75, dw = -0.07088, nw = 1651 120510.0013.ec.fits: ap = 50, w1 = 5582.981, w2 = 5467.16, dw = -0.07019, nw = 1651 120510.0013.ec.fits: ap = 51, w1 = 5529.306, w2 = 5414.6, dw = -0.06952, nw = 1651 120510.0013.ec.fits: ap = 52, w1 = 5476.654, w2 = 5363.042, dw = -0.06886, nw = 1651 120510.0013.ec.fits: ap = 53, w1 = 5424.995, w2 = 5312.457, dw = -0.06821, nw = 1651 120510.0013.ec.fits: ap = 54, w1 = 5374.302, w2 = 5262.817, dw = -0.06757, nw = 1651 120510.0013.ec.fits: ap = 55, w1 = 5324.548, w2 = 5214.096, dw = -0.06694, nw = 1651 120510.0013.ec.fits: ap = 56, w1 = 5275.707, w2 = 5166.27, dw = -0.06633, nw = 1651 120510.0013.ec.fits: ap = 57, w1 = 5227.754, w2 = 5119.313, dw = -0.06572, nw = 1651 120510.0013.ec.fits: ap = 58, w1 = 5180.665, w2 = 5073.203, dw = -0.06513, nw = 1651 120510.0013.ec.fits: ap = 59, w1 = 5134.417, w2 = 5027.915, dw = -0.06455, nw = 1651 120510.0013.ec.fits: ap = 60, w1 = 5088.988, w2 = 4983.43, dw = -0.06397, nw = 1651 120510.0013.ec.fits: ap = 61, w1 = 5044.356, w2 = 4939.725, dw = -0.06341, nw = 1651 120510.0013.ec.fits: ap = 62, w1 = 5000.5, w2 = 4896.78, dw = -0.06286, nw = 1651 120510.0013.ec.fits: ap = 63, w1 = 4957.4, w2 = 4854.576, dw = -0.06232, nw = 1651 120510.0013.ec.fits: ap = 64, w1 = 4915.037, w2 = 4813.093, dw = -0.06178, nw = 1651 120510.0013.ec.fits: ap = 65, w1 = 4873.392, w2 = 4772.313, dw = -0.06126, nw = 1651 120510.0013.ec.fits: ap = 66, w1 = 4832.448, w2 = 4732.219, dw = -0.06074, nw = 1651 120510.0013.ec.fits: ap = 67, w1 = 4792.186, w2 = 4692.793, dw = -0.06024, nw = 1651 120510.0013.ec.fits: ap = 68, w1 = 4752.589, w2 = 4654.019, dw = -0.05974, nw = 1651 120510.0013.ec.fits: ap = 69, w1 = 4713.641, w2 = 4615.881, dw = -0.05925, nw = 1651 120510.0013.ec.fits: ap = 70, w1 = 4675.327, w2 = 4578.363, dw = -0.05877, nw = 1651 120510.0013.ec.fits: ap = 71, w1 = 4637.632, w2 = 4541.45, dw = -0.05829, nw = 1651 120510.0013.ec.fits: ap = 72, w1 = 4600.539, w2 = 4505.127, dw = -0.05783, nw = 1651 120510.0013.ec.fits: ap = 73, w1 = 4564.035, w2 = 4469.382, dw = -0.05737, nw = 1651 120510.0013.ec.fits: ap = 74, w1 = 4528.106, w2 = 4434.199, dw = -0.05691, nw = 1651 120510.0013.ec.fits: ap = 75, w1 = 4492.739, w2 = 4399.566, dw = -0.05647, nw = 1651 120510.0013.ec.fits: ap = 76, w1 = 4457.92, w2 = 4365.471, dw = -0.05603, nw = 1651 120510.0013.ec.fits: ap = 77, w1 = 4423.637, w2 = 4331.899, dw = -0.0556, nw = 1651 120510.0013.ec.fits: ap = 78, w1 = 4389.877, w2 = 4298.841, dw = -0.05517, nw = 1651 120510.0013.ec.fits: ap = 79, w1 = 4356.629, w2 = 4266.283, dw = -0.05475, nw = 1651 120510.0013.ec.fits: ap = 80, w1 = 4323.881, w2 = 4234.216, dw = -0.05434, nw = 1651 120510.0013.ec.fits: ap = 81, w1 = 4291.622, w2 = 4202.626, dw = -0.05394, nw = 1651 120510.0013.ec.fits: ap = 82, w1 = 4259.841, w2 = 4171.505, dw = -0.05354, nw = 1651 120510.0013.ec.fits: ap = 83, w1 = 4228.528, w2 = 4140.842, dw = -0.05314, nw = 1651 120510.0013.ec.fits: ap = 84, w1 = 4197.671, w2 = 4110.627, dw = -0.05275, nw = 1651 120510.0013.ec.fits: ap = 85, w1 = 4167.262, w2 = 4080.849, dw = -0.05237, nw = 1651 120510.0013.ec.fits: ap = 86, w1 = 4137.291, w2 = 4051.5, dw = -0.05199, nw = 1651 120510.0013.ec.fits: ap = 87, w1 = 4107.748, w2 = 4022.57, dw = -0.05162, nw = 1651 120510.0013.ec.fits: ap = 88, w1 = 4078.624, w2 = 3994.051, dw = -0.05126, nw = 1651 120510.0013.ec.fits: ap = 89, w1 = 4049.911, w2 = 3965.934, dw = -0.0509, nw = 1651 120510.0013.ec.fits: ap = 90, w1 = 4021.599, w2 = 3938.21, dw = -0.05054, nw = 1651 120510.0013.ec.fits: ap = 91, w1 = 3993.68, w2 = 3910.871, dw = -0.05019, nw = 1651 120510.0013.ec.fits: ap = 92, w1 = 3966.147, w2 = 3883.909, dw = -0.04984, nw = 1651 120510.0013.ec.fits: ap = 93, w1 = 3938.991, w2 = 3857.317, dw = -0.0495, nw = 1651 120510.0013.ec.fits: ap = 94, w1 = 3912.204, w2 = 3831.086, dw = -0.04916, nw = 1651 120510.0013.ec.fits: ap = 95, w1 = 3885.78, w2 = 3805.211, dw = -0.04883, nw = 1651 120510.0013.ec.fits: ap = 96, w1 = 3859.711, w2 = 3779.682, dw = -0.0485, nw = 1651 120510.0013.ec.fits: ap = 97, w1 = 3833.989, w2 = 3754.494, dw = -0.04818, nw = 1651 120510.0013.ec.fits: ap = 98, w1 = 3808.608, w2 = 3729.64, dw = -0.04786, nw = 1651 120510.0013.ec.fits: ap = 99, w1 = 3783.561, w2 = 3705.113, dw = -0.04754, nw = 1651 120510.0013.ec.fits: ap = 100, w1 = 3758.842, w2 = 3680.907, dw = -0.04723, nw = 1651 120510.0013.ec.fits: ap = 101, w1 = 3734.444, w2 = 3657.015, dw = -0.04693, nw = 1651 120510.0013.ec.fits: ap = 102, w1 = 3710.36, w2 = 3633.431, dw = -0.04662, nw = 1651 120510.0013.ec.fits: ap = 103, w1 = 3686.586, w2 = 3610.15, dw = -0.04632, nw = 1651 120510.0013.ec.fits: ap = 104, w1 = 3663.115, w2 = 3587.166, dw = -0.04603, nw = 1651 120510.0013.ec.fits: ap = 105, w1 = 3639.941, w2 = 3564.472, dw = -0.04574, nw = 1651 120510.0013.ec.fits: ap = 106, w1 = 3617.058, w2 = 3542.065, dw = -0.04545, nw = 1651 120510.0013.ec.fits: ap = 107, w1 = 3594.462, w2 = 3519.937, dw = -0.04517, nw = 1651 120510.0014.ec.fits: REFSPEC1 = 'EchelleThAr.0004.ec 1.' 120510.0014.ec.fits: ap = 1, w1 = 10648.36, w2 = 10427.3, dw = -0.13397, nw = 1651 120510.0014.ec.fits: ap = 2, w1 = 10454.77, w2 = 10237.73, dw = -0.13154, nw = 1651 120510.0014.ec.fits: ap = 3, w1 = 10268.09, w2 = 10054.93, dw = -0.12919, nw = 1651 120510.0014.ec.fits: ap = 4, w1 = 10087.96, w2 = 9878.542, dw = -0.12692, nw = 1651 120510.0014.ec.fits: ap = 5, w1 = 9914.04, w2 = 9708.237, dw = -0.12473, nw = 1651 120510.0014.ec.fits: ap = 6, w1 = 9746.018, w2 = 9543.705, dw = -0.12261, nw = 1651 120510.0014.ec.fits: ap = 7, w1 = 9583.596, w2 = 9384.657, dw = -0.12057, nw = 1651 120510.0014.ec.fits: ap = 8, w1 = 9426.5, w2 = 9230.824, dw = -0.11859, nw = 1651 120510.0014.ec.fits: ap = 9, w1 = 9274.471, w2 = 9081.953, dw = -0.11668, nw = 1651 120510.0014.ec.fits: ap = 10, w1 = 9127.268, w2 = 8937.809, dw = -0.11482, nw = 1651 120510.0014.ec.fits: ap = 11, w1 = 8984.665, w2 = 8798.169, dw = -0.11303, nw = 1651 120510.0014.ec.fits: ap = 12, w1 = 8846.451, w2 = 8662.825, dw = -0.11129, nw = 1651 120510.0014.ec.fits: ap = 13, w1 = 8712.424, w2 = 8531.583, dw = -0.1096, nw = 1651 120510.0014.ec.fits: ap = 14, w1 = 8582.398, w2 = 8404.259, dw = -0.10796, nw = 1651 120510.0014.ec.fits: ap = 15, w1 = 8456.197, w2 = 8280.679, dw = -0.10637, nw = 1651 120510.0014.ec.fits: ap = 16, w1 = 8333.653, w2 = 8160.681, dw = -0.10483, nw = 1651 120510.0014.ec.fits: ap = 17, w1 = 8214.611, w2 = 8044.112, dw = -0.10333, nw = 1651 120510.0014.ec.fits: ap = 18, w1 = 8098.922, w2 = 7930.827, dw = -0.10188, nw = 1651 120510.0014.ec.fits: ap = 19, w1 = 7986.447, w2 = 7820.688, dw = -0.10046, nw = 1651 120510.0014.ec.fits: ap = 20, w1 = 7877.053, w2 = 7713.567, dw = -0.09908, nw = 1651 120510.0014.ec.fits: ap = 21, w1 = 7770.615, w2 = 7609.341, dw = -0.09774, nw = 1651 120510.0014.ec.fits: ap = 22, w1 = 7667.017, w2 = 7507.895, dw = -0.09644, nw = 1651 120510.0014.ec.fits: ap = 23, w1 = 7566.144, w2 = 7409.118, dw = -0.09517, nw = 1651 120510.0014.ec.fits: ap = 24, w1 = 7467.891, w2 = 7312.907, dw = -0.09393, nw = 1651 120510.0014.ec.fits: ap = 25, w1 = 7372.158, w2 = 7219.163, dw = -0.09272, nw = 1651 120510.0014.ec.fits: ap = 26, w1 = 7278.849, w2 = 7127.792, dw = -0.09155, nw = 1651 120510.0014.ec.fits: ap = 27, w1 = 7187.872, w2 = 7038.705, dw = -0.0904, nw = 1651 120510.0014.ec.fits: ap = 28, w1 = 7099.141, w2 = 6951.818, dw = -0.08929, nw = 1651 120510.0014.ec.fits: ap = 29, w1 = 7012.575, w2 = 6867.051, dw = -0.0882, nw = 1651 120510.0014.ec.fits: ap = 30, w1 = 6928.095, w2 = 6784.326, dw = -0.08713, nw = 1651 120510.0014.ec.fits: ap = 31, w1 = 6845.626, w2 = 6703.57, dw = -0.08609, nw = 1651 120510.0014.ec.fits: ap = 32, w1 = 6765.098, w2 = 6624.715, dw = -0.08508, nw = 1651 120510.0014.ec.fits: ap = 33, w1 = 6686.442, w2 = 6547.694, dw = -0.08409, nw = 1651 120510.0014.ec.fits: ap = 34, w1 = 6609.595, w2 = 6472.443, dw = -0.08312, nw = 1651 120510.0014.ec.fits: ap = 35, w1 = 6534.494, w2 = 6398.903, dw = -0.08218, nw = 1651 120510.0014.ec.fits: ap = 36, w1 = 6461.081, w2 = 6327.015, dw = -0.08125, nw = 1651 120510.0014.ec.fits: ap = 37, w1 = 6389.299, w2 = 6256.725, dw = -0.08035, nw = 1651 120510.0014.ec.fits: ap = 38, w1 = 6319.095, w2 = 6187.98, dw = -0.07946, nw = 1651 120510.0014.ec.fits: ap = 39, w1 = 6250.418, w2 = 6120.729, dw = -0.0786, nw = 1651 120510.0014.ec.fits: ap = 40, w1 = 6183.217, w2 = 6054.924, dw = -0.07775, nw = 1651 120510.0014.ec.fits: ap = 41, w1 = 6117.446, w2 = 5990.52, dw = -0.07692, nw = 1651 120510.0014.ec.fits: ap = 42, w1 = 6053.06, w2 = 5927.472, dw = -0.07611, nw = 1651 120510.0014.ec.fits: ap = 43, w1 = 5990.015, w2 = 5865.737, dw = -0.07532, nw = 1651 120510.0014.ec.fits: ap = 44, w1 = 5928.27, w2 = 5805.275, dw = -0.07454, nw = 1651 120510.0014.ec.fits: ap = 45, w1 = 5867.786, w2 = 5746.047, dw = -0.07378, nw = 1651 120510.0014.ec.fits: ap = 46, w1 = 5808.523, w2 = 5688.016, dw = -0.07303, nw = 1651 120510.0014.ec.fits: ap = 47, w1 = 5750.446, w2 = 5631.145, dw = -0.0723, nw = 1651 120510.0014.ec.fits: ap = 48, w1 = 5693.519, w2 = 5575.401, dw = -0.07159, nw = 1651 120510.0014.ec.fits: ap = 49, w1 = 5637.708, w2 = 5520.75, dw = -0.07088, nw = 1651 120510.0014.ec.fits: ap = 50, w1 = 5582.981, w2 = 5467.16, dw = -0.07019, nw = 1651 120510.0014.ec.fits: ap = 51, w1 = 5529.306, w2 = 5414.6, dw = -0.06952, nw = 1651 120510.0014.ec.fits: ap = 52, w1 = 5476.654, w2 = 5363.042, dw = -0.06886, nw = 1651 120510.0014.ec.fits: ap = 53, w1 = 5424.995, w2 = 5312.457, dw = -0.06821, nw = 1651 120510.0014.ec.fits: ap = 54, w1 = 5374.302, w2 = 5262.817, dw = -0.06757, nw = 1651 120510.0014.ec.fits: ap = 55, w1 = 5324.548, w2 = 5214.096, dw = -0.06694, nw = 1651 120510.0014.ec.fits: ap = 56, w1 = 5275.707, w2 = 5166.27, dw = -0.06633, nw = 1651 120510.0014.ec.fits: ap = 57, w1 = 5227.754, w2 = 5119.313, dw = -0.06572, nw = 1651 120510.0014.ec.fits: ap = 58, w1 = 5180.665, w2 = 5073.203, dw = -0.06513, nw = 1651 120510.0014.ec.fits: ap = 59, w1 = 5134.417, w2 = 5027.915, dw = -0.06455, nw = 1651 120510.0014.ec.fits: ap = 60, w1 = 5088.988, w2 = 4983.43, dw = -0.06397, nw = 1651 120510.0014.ec.fits: ap = 61, w1 = 5044.356, w2 = 4939.725, dw = -0.06341, nw = 1651 120510.0014.ec.fits: ap = 62, w1 = 5000.5, w2 = 4896.78, dw = -0.06286, nw = 1651 120510.0014.ec.fits: ap = 63, w1 = 4957.4, w2 = 4854.576, dw = -0.06232, nw = 1651 120510.0014.ec.fits: ap = 64, w1 = 4915.037, w2 = 4813.093, dw = -0.06178, nw = 1651 120510.0014.ec.fits: ap = 65, w1 = 4873.392, w2 = 4772.313, dw = -0.06126, nw = 1651 120510.0014.ec.fits: ap = 66, w1 = 4832.448, w2 = 4732.219, dw = -0.06074, nw = 1651 120510.0014.ec.fits: ap = 67, w1 = 4792.186, w2 = 4692.793, dw = -0.06024, nw = 1651 120510.0014.ec.fits: ap = 68, w1 = 4752.589, w2 = 4654.019, dw = -0.05974, nw = 1651 120510.0014.ec.fits: ap = 69, w1 = 4713.641, w2 = 4615.881, dw = -0.05925, nw = 1651 120510.0014.ec.fits: ap = 70, w1 = 4675.327, w2 = 4578.363, dw = -0.05877, nw = 1651 120510.0014.ec.fits: ap = 71, w1 = 4637.632, w2 = 4541.45, dw = -0.05829, nw = 1651 120510.0014.ec.fits: ap = 72, w1 = 4600.539, w2 = 4505.127, dw = -0.05783, nw = 1651 120510.0014.ec.fits: ap = 73, w1 = 4564.035, w2 = 4469.382, dw = -0.05737, nw = 1651 120510.0014.ec.fits: ap = 74, w1 = 4528.106, w2 = 4434.199, dw = -0.05691, nw = 1651 120510.0014.ec.fits: ap = 75, w1 = 4492.739, w2 = 4399.566, dw = -0.05647, nw = 1651 120510.0014.ec.fits: ap = 76, w1 = 4457.92, w2 = 4365.471, dw = -0.05603, nw = 1651 120510.0014.ec.fits: ap = 77, w1 = 4423.637, w2 = 4331.899, dw = -0.0556, nw = 1651 120510.0014.ec.fits: ap = 78, w1 = 4389.877, w2 = 4298.841, dw = -0.05517, nw = 1651 120510.0014.ec.fits: ap = 79, w1 = 4356.629, w2 = 4266.283, dw = -0.05475, nw = 1651 120510.0014.ec.fits: ap = 80, w1 = 4323.881, w2 = 4234.216, dw = -0.05434, nw = 1651 120510.0014.ec.fits: ap = 81, w1 = 4291.622, w2 = 4202.626, dw = -0.05394, nw = 1651 120510.0014.ec.fits: ap = 82, w1 = 4259.841, w2 = 4171.505, dw = -0.05354, nw = 1651 120510.0014.ec.fits: ap = 83, w1 = 4228.528, w2 = 4140.842, dw = -0.05314, nw = 1651 120510.0014.ec.fits: ap = 84, w1 = 4197.671, w2 = 4110.627, dw = -0.05275, nw = 1651 120510.0014.ec.fits: ap = 85, w1 = 4167.262, w2 = 4080.849, dw = -0.05237, nw = 1651 120510.0014.ec.fits: ap = 86, w1 = 4137.291, w2 = 4051.5, dw = -0.05199, nw = 1651 120510.0014.ec.fits: ap = 87, w1 = 4107.748, w2 = 4022.57, dw = -0.05162, nw = 1651 120510.0014.ec.fits: ap = 88, w1 = 4078.624, w2 = 3994.051, dw = -0.05126, nw = 1651 120510.0014.ec.fits: ap = 89, w1 = 4049.911, w2 = 3965.934, dw = -0.0509, nw = 1651 120510.0014.ec.fits: ap = 90, w1 = 4021.599, w2 = 3938.21, dw = -0.05054, nw = 1651 120510.0014.ec.fits: ap = 91, w1 = 3993.68, w2 = 3910.871, dw = -0.05019, nw = 1651 120510.0014.ec.fits: ap = 92, w1 = 3966.147, w2 = 3883.909, dw = -0.04984, nw = 1651 120510.0014.ec.fits: ap = 93, w1 = 3938.991, w2 = 3857.317, dw = -0.0495, nw = 1651 120510.0014.ec.fits: ap = 94, w1 = 3912.204, w2 = 3831.086, dw = -0.04916, nw = 1651 120510.0014.ec.fits: ap = 95, w1 = 3885.78, w2 = 3805.211, dw = -0.04883, nw = 1651 120510.0014.ec.fits: ap = 96, w1 = 3859.711, w2 = 3779.682, dw = -0.0485, nw = 1651 120510.0014.ec.fits: ap = 97, w1 = 3833.989, w2 = 3754.494, dw = -0.04818, nw = 1651 120510.0014.ec.fits: ap = 98, w1 = 3808.608, w2 = 3729.64, dw = -0.04786, nw = 1651 120510.0014.ec.fits: ap = 99, w1 = 3783.561, w2 = 3705.113, dw = -0.04754, nw = 1651 120510.0014.ec.fits: ap = 100, w1 = 3758.842, w2 = 3680.907, dw = -0.04723, nw = 1651 120510.0014.ec.fits: ap = 101, w1 = 3734.444, w2 = 3657.015, dw = -0.04693, nw = 1651 120510.0014.ec.fits: ap = 102, w1 = 3710.36, w2 = 3633.431, dw = -0.04662, nw = 1651 120510.0014.ec.fits: ap = 103, w1 = 3686.586, w2 = 3610.15, dw = -0.04632, nw = 1651 120510.0014.ec.fits: ap = 104, w1 = 3663.115, w2 = 3587.166, dw = -0.04603, nw = 1651 120510.0014.ec.fits: ap = 105, w1 = 3639.941, w2 = 3564.472, dw = -0.04574, nw = 1651 120510.0014.ec.fits: ap = 106, w1 = 3617.058, w2 = 3542.065, dw = -0.04545, nw = 1651 120510.0014.ec.fits: ap = 107, w1 = 3594.462, w2 = 3519.937, dw = -0.04517, nw = 1651 EchelleThAr.0001.ec.fits: REFSPEC1 = 'EchelleThAr.0001.ec 1.' zEchelleThAr.0001.ec.fits: ap = 1, w1 = 10648.35, w2 = 10427.29, dw = -0.13398, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 2, w1 = 10454.76, w2 = 10237.72, dw = -0.13154, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 3, w1 = 10268.08, w2 = 10054.92, dw = -0.12919, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 4, w1 = 10087.95, w2 = 9878.532, dw = -0.12692, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 5, w1 = 9914.032, w2 = 9708.228, dw = -0.12473, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 6, w1 = 9746.01, w2 = 9543.697, dw = -0.12261, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 7, w1 = 9583.588, w2 = 9384.651, dw = -0.12057, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 8, w1 = 9426.492, w2 = 9230.818, dw = -0.11859, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 9, w1 = 9274.464, w2 = 9081.949, dw = -0.11668, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 10, w1 = 9127.261, w2 = 8937.805, dw = -0.11482, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 11, w1 = 8984.659, w2 = 8798.165, dw = -0.11303, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 12, w1 = 8846.445, w2 = 8662.822, dw = -0.11129, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 13, w1 = 8712.418, w2 = 8531.581, dw = -0.1096, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 14, w1 = 8582.393, w2 = 8404.256, dw = -0.10796, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 15, w1 = 8456.192, w2 = 8280.677, dw = -0.10637, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 16, w1 = 8333.648, w2 = 8160.68, dw = -0.10483, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 17, w1 = 8214.606, w2 = 8044.111, dw = -0.10333, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 18, w1 = 8098.918, w2 = 7930.826, dw = -0.10187, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 19, w1 = 7986.443, w2 = 7820.687, dw = -0.10046, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 20, w1 = 7877.049, w2 = 7713.567, dw = -0.09908, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 21, w1 = 7770.612, w2 = 7609.341, dw = -0.09774, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 22, w1 = 7667.013, w2 = 7507.894, dw = -0.09644, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 23, w1 = 7566.141, w2 = 7409.118, dw = -0.09517, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 24, w1 = 7467.889, w2 = 7312.906, dw = -0.09393, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 25, w1 = 7372.156, w2 = 7219.162, dw = -0.09272, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 26, w1 = 7278.846, w2 = 7127.791, dw = -0.09155, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 27, w1 = 7187.87, w2 = 7038.705, dw = -0.0904, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 28, w1 = 7099.139, w2 = 6951.818, dw = -0.08929, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 29, w1 = 7012.573, w2 = 6867.05, dw = -0.0882, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 30, w1 = 6928.093, w2 = 6784.325, dw = -0.08713, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 31, w1 = 6845.624, w2 = 6703.569, dw = -0.08609, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 32, w1 = 6765.096, w2 = 6624.714, dw = -0.08508, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 33, w1 = 6686.441, w2 = 6547.693, dw = -0.08409, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 34, w1 = 6609.594, w2 = 6472.442, dw = -0.08312, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 35, w1 = 6534.493, w2 = 6398.901, dw = -0.08218, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 36, w1 = 6461.08, w2 = 6327.014, dw = -0.08125, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 37, w1 = 6389.299, w2 = 6256.723, dw = -0.08035, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 38, w1 = 6319.095, w2 = 6187.978, dw = -0.07946, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 39, w1 = 6250.417, w2 = 6120.727, dw = -0.0786, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 40, w1 = 6183.217, w2 = 6054.922, dw = -0.07775, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 41, w1 = 6117.446, w2 = 5990.518, dw = -0.07693, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 42, w1 = 6053.06, w2 = 5927.469, dw = -0.07612, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 43, w1 = 5990.015, w2 = 5865.734, dw = -0.07532, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 44, w1 = 5928.27, w2 = 5805.272, dw = -0.07454, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 45, w1 = 5867.786, w2 = 5746.044, dw = -0.07378, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 46, w1 = 5808.523, w2 = 5688.013, dw = -0.07304, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 47, w1 = 5750.446, w2 = 5631.142, dw = -0.07231, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 48, w1 = 5693.519, w2 = 5575.398, dw = -0.07159, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 49, w1 = 5637.708, w2 = 5520.746, dw = -0.07089, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 50, w1 = 5582.981, w2 = 5467.156, dw = -0.0702, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 51, w1 = 5529.306, w2 = 5414.597, dw = -0.06952, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 52, w1 = 5476.654, w2 = 5363.038, dw = -0.06886, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 53, w1 = 5424.996, w2 = 5312.453, dw = -0.06821, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 54, w1 = 5374.303, w2 = 5262.813, dw = -0.06757, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 55, w1 = 5324.549, w2 = 5214.093, dw = -0.06694, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 56, w1 = 5275.708, w2 = 5166.266, dw = -0.06633, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 57, w1 = 5227.754, w2 = 5119.309, dw = -0.06572, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 58, w1 = 5180.666, w2 = 5073.199, dw = -0.06513, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 59, w1 = 5134.418, w2 = 5027.912, dw = -0.06455, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 60, w1 = 5088.988, w2 = 4983.426, dw = -0.06398, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 61, w1 = 5044.356, w2 = 4939.721, dw = -0.06342, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 62, w1 = 5000.5, w2 = 4896.776, dw = -0.06286, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 63, w1 = 4957.4, w2 = 4854.572, dw = -0.06232, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 64, w1 = 4915.037, w2 = 4813.089, dw = -0.06179, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 65, w1 = 4873.393, w2 = 4772.31, dw = -0.06126, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 66, w1 = 4832.448, w2 = 4732.216, dw = -0.06075, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 67, w1 = 4792.186, w2 = 4692.79, dw = -0.06024, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 68, w1 = 4752.589, w2 = 4654.016, dw = -0.05974, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 69, w1 = 4713.641, w2 = 4615.878, dw = -0.05925, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 70, w1 = 4675.327, w2 = 4578.36, dw = -0.05877, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 71, w1 = 4637.631, w2 = 4541.447, dw = -0.05829, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 72, w1 = 4600.539, w2 = 4505.125, dw = -0.05783, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 73, w1 = 4564.035, w2 = 4469.38, dw = -0.05737, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 74, w1 = 4528.106, w2 = 4434.197, dw = -0.05691, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 75, w1 = 4492.738, w2 = 4399.565, dw = -0.05647, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 76, w1 = 4457.919, w2 = 4365.469, dw = -0.05603, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 77, w1 = 4423.636, w2 = 4331.898, dw = -0.0556, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 78, w1 = 4389.876, w2 = 4298.84, dw = -0.05517, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 79, w1 = 4356.628, w2 = 4266.283, dw = -0.05475, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 80, w1 = 4323.88, w2 = 4234.216, dw = -0.05434, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 81, w1 = 4291.621, w2 = 4202.627, dw = -0.05394, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 82, w1 = 4259.84, w2 = 4171.506, dw = -0.05354, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 83, w1 = 4228.526, w2 = 4140.843, dw = -0.05314, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 84, w1 = 4197.67, w2 = 4110.628, dw = -0.05275, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 85, w1 = 4167.261, w2 = 4080.851, dw = -0.05237, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 86, w1 = 4137.289, w2 = 4051.503, dw = -0.05199, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 87, w1 = 4107.746, w2 = 4022.573, dw = -0.05162, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 88, w1 = 4078.622, w2 = 3994.055, dw = -0.05125, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 89, w1 = 4049.908, w2 = 3965.938, dw = -0.05089, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 90, w1 = 4021.596, w2 = 3938.215, dw = -0.05053, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 91, w1 = 3993.678, w2 = 3910.876, dw = -0.05018, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 92, w1 = 3966.144, w2 = 3883.915, dw = -0.04984, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 93, w1 = 3938.988, w2 = 3857.323, dw = -0.04949, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 94, w1 = 3912.201, w2 = 3831.094, dw = -0.04916, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 95, w1 = 3885.777, w2 = 3805.219, dw = -0.04882, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 96, w1 = 3859.707, w2 = 3779.691, dw = -0.04849, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 97, w1 = 3833.985, w2 = 3754.504, dw = -0.04817, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 98, w1 = 3808.604, w2 = 3729.65, dw = -0.04785, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 99, w1 = 3783.557, w2 = 3705.124, dw = -0.04754, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 100, w1 = 3758.837, w2 = 3680.919, dw = -0.04722, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 101, w1 = 3734.439, w2 = 3657.028, dw = -0.04692, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 102, w1 = 3710.356, w2 = 3633.445, dw = -0.04661, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 103, w1 = 3686.581, w2 = 3610.165, dw = -0.04631, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 104, w1 = 3663.11, w2 = 3587.181, dw = -0.04602, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 105, w1 = 3639.935, w2 = 3564.489, dw = -0.04572, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 106, w1 = 3617.052, w2 = 3542.082, dw = -0.04544, nw = 1651 zEchelleThAr.0001.ec.fits: ap = 107, w1 = 3594.456, w2 = 3519.956, dw = -0.04515, nw = 1651 EchelleThAr.0002.ec.fits: REFSPEC1 = 'EchelleThAr.0002.ec 1.' zEchelleThAr.0002.ec.fits: ap = 1, w1 = 10648.36, w2 = 10427.31, dw = -0.13397, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 2, w1 = 10454.77, w2 = 10237.73, dw = -0.13154, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 3, w1 = 10268.09, w2 = 10054.93, dw = -0.12918, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 4, w1 = 10087.96, w2 = 9878.545, dw = -0.12692, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 5, w1 = 9914.039, w2 = 9708.24, dw = -0.12473, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 6, w1 = 9746.016, w2 = 9543.707, dw = -0.12261, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 7, w1 = 9583.594, w2 = 9384.66, dw = -0.12057, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 8, w1 = 9426.498, w2 = 9230.826, dw = -0.11859, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 9, w1 = 9274.469, w2 = 9081.956, dw = -0.11667, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 10, w1 = 9127.266, w2 = 8937.811, dw = -0.11482, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 11, w1 = 8984.663, w2 = 8798.171, dw = -0.11303, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 12, w1 = 8846.448, w2 = 8662.827, dw = -0.11129, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 13, w1 = 8712.421, w2 = 8531.585, dw = -0.1096, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 14, w1 = 8582.395, w2 = 8404.26, dw = -0.10796, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 15, w1 = 8456.194, w2 = 8280.681, dw = -0.10637, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 16, w1 = 8333.65, w2 = 8160.683, dw = -0.10483, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 17, w1 = 8214.608, w2 = 8044.114, dw = -0.10333, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 18, w1 = 8098.919, w2 = 7930.828, dw = -0.10187, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 19, w1 = 7986.443, w2 = 7820.689, dw = -0.10046, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 20, w1 = 7877.05, w2 = 7713.568, dw = -0.09908, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 21, w1 = 7770.612, w2 = 7609.342, dw = -0.09774, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 22, w1 = 7667.013, w2 = 7507.896, dw = -0.09644, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 23, w1 = 7566.141, w2 = 7409.119, dw = -0.09516, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 24, w1 = 7467.888, w2 = 7312.907, dw = -0.09393, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 25, w1 = 7372.155, w2 = 7219.163, dw = -0.09272, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 26, w1 = 7278.846, w2 = 7127.792, dw = -0.09155, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 27, w1 = 7187.869, w2 = 7038.706, dw = -0.0904, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 28, w1 = 7099.138, w2 = 6951.819, dw = -0.08928, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 29, w1 = 7012.572, w2 = 6867.051, dw = -0.08819, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 30, w1 = 6928.092, w2 = 6784.326, dw = -0.08713, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 31, w1 = 6845.623, w2 = 6703.57, dw = -0.08609, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 32, w1 = 6765.095, w2 = 6624.715, dw = -0.08508, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 33, w1 = 6686.439, w2 = 6547.694, dw = -0.08409, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 34, w1 = 6609.592, w2 = 6472.443, dw = -0.08312, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 35, w1 = 6534.491, w2 = 6398.903, dw = -0.08218, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 36, w1 = 6461.079, w2 = 6327.015, dw = -0.08125, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 37, w1 = 6389.297, w2 = 6256.725, dw = -0.08035, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 38, w1 = 6319.093, w2 = 6187.979, dw = -0.07946, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 39, w1 = 6250.415, w2 = 6120.728, dw = -0.0786, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 40, w1 = 6183.215, w2 = 6054.924, dw = -0.07775, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 41, w1 = 6117.444, w2 = 5990.52, dw = -0.07692, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 42, w1 = 6053.058, w2 = 5927.471, dw = -0.07611, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 43, w1 = 5990.013, w2 = 5865.736, dw = -0.07532, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 44, w1 = 5928.269, w2 = 5805.274, dw = -0.07454, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 45, w1 = 5867.784, w2 = 5746.046, dw = -0.07378, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 46, w1 = 5808.522, w2 = 5688.015, dw = -0.07303, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 47, w1 = 5750.444, w2 = 5631.144, dw = -0.0723, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 48, w1 = 5693.517, w2 = 5575.4, dw = -0.07159, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 49, w1 = 5637.706, w2 = 5520.749, dw = -0.07088, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 50, w1 = 5582.979, w2 = 5467.159, dw = -0.07019, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 51, w1 = 5529.305, w2 = 5414.599, dw = -0.06952, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 52, w1 = 5476.653, w2 = 5363.041, dw = -0.06886, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 53, w1 = 5424.994, w2 = 5312.455, dw = -0.06821, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 54, w1 = 5374.301, w2 = 5262.816, dw = -0.06757, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 55, w1 = 5324.547, w2 = 5214.095, dw = -0.06694, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 56, w1 = 5275.706, w2 = 5166.269, dw = -0.06633, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 57, w1 = 5227.753, w2 = 5119.312, dw = -0.06572, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 58, w1 = 5180.664, w2 = 5073.201, dw = -0.06513, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 59, w1 = 5134.416, w2 = 5027.914, dw = -0.06455, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 60, w1 = 5088.987, w2 = 4983.429, dw = -0.06397, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 61, w1 = 5044.354, w2 = 4939.724, dw = -0.06341, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 62, w1 = 5000.498, w2 = 4896.779, dw = -0.06286, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 63, w1 = 4957.399, w2 = 4854.574, dw = -0.06232, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 64, w1 = 4915.036, w2 = 4813.092, dw = -0.06178, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 65, w1 = 4873.391, w2 = 4772.312, dw = -0.06126, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 66, w1 = 4832.446, w2 = 4732.218, dw = -0.06074, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 67, w1 = 4792.184, w2 = 4692.792, dw = -0.06024, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 68, w1 = 4752.587, w2 = 4654.018, dw = -0.05974, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 69, w1 = 4713.64, w2 = 4615.879, dw = -0.05925, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 70, w1 = 4675.326, w2 = 4578.361, dw = -0.05877, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 71, w1 = 4637.63, w2 = 4541.448, dw = -0.05829, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 72, w1 = 4600.537, w2 = 4505.126, dw = -0.05782, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 73, w1 = 4564.033, w2 = 4469.38, dw = -0.05737, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 74, w1 = 4528.104, w2 = 4434.198, dw = -0.05691, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 75, w1 = 4492.737, w2 = 4399.565, dw = -0.05647, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 76, w1 = 4457.917, w2 = 4365.469, dw = -0.05603, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 77, w1 = 4423.634, w2 = 4331.898, dw = -0.0556, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 78, w1 = 4389.874, w2 = 4298.839, dw = -0.05517, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 79, w1 = 4356.626, w2 = 4266.282, dw = -0.05475, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 80, w1 = 4323.878, w2 = 4234.214, dw = -0.05434, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 81, w1 = 4291.619, w2 = 4202.625, dw = -0.05394, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 82, w1 = 4259.838, w2 = 4171.504, dw = -0.05354, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 83, w1 = 4228.524, w2 = 4140.841, dw = -0.05314, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 84, w1 = 4197.668, w2 = 4110.625, dw = -0.05275, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 85, w1 = 4167.258, w2 = 4080.847, dw = -0.05237, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 86, w1 = 4137.287, w2 = 4051.498, dw = -0.05199, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 87, w1 = 4107.744, w2 = 4022.569, dw = -0.05162, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 88, w1 = 4078.62, w2 = 3994.05, dw = -0.05125, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 89, w1 = 4049.906, w2 = 3965.932, dw = -0.05089, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 90, w1 = 4021.594, w2 = 3938.208, dw = -0.05054, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 91, w1 = 3993.675, w2 = 3910.869, dw = -0.05019, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 92, w1 = 3966.141, w2 = 3883.908, dw = -0.04984, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 93, w1 = 3938.985, w2 = 3857.315, dw = -0.0495, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 94, w1 = 3912.198, w2 = 3831.085, dw = -0.04916, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 95, w1 = 3885.774, w2 = 3805.209, dw = -0.04883, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 96, w1 = 3859.704, w2 = 3779.681, dw = -0.0485, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 97, w1 = 3833.982, w2 = 3754.493, dw = -0.04818, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 98, w1 = 3808.601, w2 = 3729.639, dw = -0.04786, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 99, w1 = 3783.553, w2 = 3705.112, dw = -0.04754, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 100, w1 = 3758.834, w2 = 3680.905, dw = -0.04723, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 101, w1 = 3734.435, w2 = 3657.013, dw = -0.04692, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 102, w1 = 3710.352, w2 = 3633.43, dw = -0.04662, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 103, w1 = 3686.577, w2 = 3610.149, dw = -0.04632, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 104, w1 = 3663.105, w2 = 3587.164, dw = -0.04602, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 105, w1 = 3639.931, w2 = 3564.471, dw = -0.04573, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 106, w1 = 3617.048, w2 = 3542.063, dw = -0.04545, nw = 1651 zEchelleThAr.0002.ec.fits: ap = 107, w1 = 3594.451, w2 = 3519.936, dw = -0.04516, nw = 1651 EchelleThAr.0003.ec.fits: REFSPEC1 = 'EchelleThAr.0003.ec 1.' zEchelleThAr.0003.ec.fits: ap = 1, w1 = 10648.35, w2 = 10427.29, dw = -0.13397, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 2, w1 = 10454.75, w2 = 10237.72, dw = -0.13153, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 3, w1 = 10268.08, w2 = 10054.92, dw = -0.12918, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 4, w1 = 10087.95, w2 = 9878.536, dw = -0.12692, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 5, w1 = 9914.03, w2 = 9708.231, dw = -0.12473, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 6, w1 = 9746.009, w2 = 9543.7, dw = -0.12261, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 7, w1 = 9583.588, w2 = 9384.653, dw = -0.12057, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 8, w1 = 9426.492, w2 = 9230.821, dw = -0.11859, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 9, w1 = 9274.463, w2 = 9081.95, dw = -0.11667, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 10, w1 = 9127.261, w2 = 8937.806, dw = -0.11482, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 11, w1 = 8984.659, w2 = 8798.167, dw = -0.11303, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 12, w1 = 8846.445, w2 = 8662.824, dw = -0.11129, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 13, w1 = 8712.419, w2 = 8531.582, dw = -0.1096, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 14, w1 = 8582.393, w2 = 8404.258, dw = -0.10796, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 15, w1 = 8456.192, w2 = 8280.678, dw = -0.10637, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 16, w1 = 8333.649, w2 = 8160.681, dw = -0.10483, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 17, w1 = 8214.607, w2 = 8044.112, dw = -0.10333, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 18, w1 = 8098.918, w2 = 7930.827, dw = -0.10187, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 19, w1 = 7986.443, w2 = 7820.688, dw = -0.10046, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 20, w1 = 7877.05, w2 = 7713.567, dw = -0.09908, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 21, w1 = 7770.613, w2 = 7609.342, dw = -0.09774, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 22, w1 = 7667.014, w2 = 7507.895, dw = -0.09644, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 23, w1 = 7566.142, w2 = 7409.119, dw = -0.09517, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 24, w1 = 7467.889, w2 = 7312.907, dw = -0.09393, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 25, w1 = 7372.156, w2 = 7219.163, dw = -0.09272, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 26, w1 = 7278.847, w2 = 7127.792, dw = -0.09155, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 27, w1 = 7187.87, w2 = 7038.706, dw = -0.0904, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 28, w1 = 7099.14, w2 = 6951.819, dw = -0.08929, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 29, w1 = 7012.574, w2 = 6867.051, dw = -0.0882, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 30, w1 = 6928.094, w2 = 6784.326, dw = -0.08713, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 31, w1 = 6845.625, w2 = 6703.571, dw = -0.08609, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 32, w1 = 6765.097, w2 = 6624.716, dw = -0.08508, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 33, w1 = 6686.441, w2 = 6547.694, dw = -0.08409, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 34, w1 = 6609.594, w2 = 6472.444, dw = -0.08312, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 35, w1 = 6534.493, w2 = 6398.903, dw = -0.08218, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 36, w1 = 6461.08, w2 = 6327.016, dw = -0.08125, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 37, w1 = 6389.299, w2 = 6256.725, dw = -0.08035, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 38, w1 = 6319.095, w2 = 6187.98, dw = -0.07946, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 39, w1 = 6250.417, w2 = 6120.729, dw = -0.0786, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 40, w1 = 6183.216, w2 = 6054.925, dw = -0.07775, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 41, w1 = 6117.446, w2 = 5990.52, dw = -0.07692, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 42, w1 = 6053.059, w2 = 5927.472, dw = -0.07611, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 43, w1 = 5990.015, w2 = 5865.737, dw = -0.07532, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 44, w1 = 5928.27, w2 = 5805.275, dw = -0.07454, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 45, w1 = 5867.785, w2 = 5746.047, dw = -0.07378, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 46, w1 = 5808.523, w2 = 5688.016, dw = -0.07303, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 47, w1 = 5750.445, w2 = 5631.145, dw = -0.0723, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 48, w1 = 5693.518, w2 = 5575.4, dw = -0.07159, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 49, w1 = 5637.707, w2 = 5520.749, dw = -0.07088, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 50, w1 = 5582.98, w2 = 5467.159, dw = -0.07019, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 51, w1 = 5529.306, w2 = 5414.599, dw = -0.06952, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 52, w1 = 5476.653, w2 = 5363.041, dw = -0.06886, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 53, w1 = 5424.995, w2 = 5312.456, dw = -0.06821, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 54, w1 = 5374.302, w2 = 5262.816, dw = -0.06757, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 55, w1 = 5324.548, w2 = 5214.095, dw = -0.06694, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 56, w1 = 5275.707, w2 = 5166.269, dw = -0.06633, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 57, w1 = 5227.754, w2 = 5119.312, dw = -0.06572, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 58, w1 = 5180.665, w2 = 5073.201, dw = -0.06513, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 59, w1 = 5134.417, w2 = 5027.914, dw = -0.06455, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 60, w1 = 5088.987, w2 = 4983.429, dw = -0.06397, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 61, w1 = 5044.355, w2 = 4939.723, dw = -0.06341, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 62, w1 = 5000.499, w2 = 4896.779, dw = -0.06286, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 63, w1 = 4957.399, w2 = 4854.574, dw = -0.06232, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 64, w1 = 4915.036, w2 = 4813.091, dw = -0.06178, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 65, w1 = 4873.392, w2 = 4772.312, dw = -0.06126, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 66, w1 = 4832.447, w2 = 4732.217, dw = -0.06075, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 67, w1 = 4792.185, w2 = 4692.792, dw = -0.06024, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 68, w1 = 4752.588, w2 = 4654.017, dw = -0.05974, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 69, w1 = 4713.641, w2 = 4615.879, dw = -0.05925, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 70, w1 = 4675.327, w2 = 4578.361, dw = -0.05877, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 71, w1 = 4637.631, w2 = 4541.448, dw = -0.05829, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 72, w1 = 4600.538, w2 = 4505.126, dw = -0.05783, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 73, w1 = 4564.034, w2 = 4469.38, dw = -0.05737, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 74, w1 = 4528.105, w2 = 4434.197, dw = -0.05691, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 75, w1 = 4492.738, w2 = 4399.565, dw = -0.05647, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 76, w1 = 4457.919, w2 = 4365.469, dw = -0.05603, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 77, w1 = 4423.636, w2 = 4331.898, dw = -0.0556, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 78, w1 = 4389.876, w2 = 4298.839, dw = -0.05517, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 79, w1 = 4356.628, w2 = 4266.282, dw = -0.05476, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 80, w1 = 4323.88, w2 = 4234.214, dw = -0.05434, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 81, w1 = 4291.621, w2 = 4202.625, dw = -0.05394, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 82, w1 = 4259.84, w2 = 4171.504, dw = -0.05354, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 83, w1 = 4228.527, w2 = 4140.841, dw = -0.05314, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 84, w1 = 4197.67, w2 = 4110.625, dw = -0.05275, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 85, w1 = 4167.262, w2 = 4080.848, dw = -0.05237, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 86, w1 = 4137.29, w2 = 4051.499, dw = -0.05199, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 87, w1 = 4107.747, w2 = 4022.569, dw = -0.05162, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 88, w1 = 4078.623, w2 = 3994.05, dw = -0.05126, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 89, w1 = 4049.91, w2 = 3965.933, dw = -0.0509, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 90, w1 = 4021.598, w2 = 3938.209, dw = -0.05054, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 91, w1 = 3993.68, w2 = 3910.87, dw = -0.05019, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 92, w1 = 3966.146, w2 = 3883.909, dw = -0.04984, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 93, w1 = 3938.99, w2 = 3857.317, dw = -0.0495, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 94, w1 = 3912.204, w2 = 3831.086, dw = -0.04916, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 95, w1 = 3885.78, w2 = 3805.211, dw = -0.04883, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 96, w1 = 3859.71, w2 = 3779.682, dw = -0.0485, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 97, w1 = 3833.989, w2 = 3754.495, dw = -0.04818, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 98, w1 = 3808.608, w2 = 3729.641, dw = -0.04786, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 99, w1 = 3783.561, w2 = 3705.114, dw = -0.04754, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 100, w1 = 3758.842, w2 = 3680.908, dw = -0.04723, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 101, w1 = 3734.444, w2 = 3657.016, dw = -0.04693, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 102, w1 = 3710.361, w2 = 3633.433, dw = -0.04662, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 103, w1 = 3686.586, w2 = 3610.152, dw = -0.04632, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 104, w1 = 3663.115, w2 = 3587.168, dw = -0.04603, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 105, w1 = 3639.941, w2 = 3564.475, dw = -0.04574, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 106, w1 = 3617.059, w2 = 3542.067, dw = -0.04545, nw = 1651 zEchelleThAr.0003.ec.fits: ap = 107, w1 = 3594.463, w2 = 3519.94, dw = -0.04517, nw = 1651 EchelleThAr.0004.ec.fits: REFSPEC1 = 'EchelleThAr.0004.ec 1.' zEchelleThAr.0004.ec.fits: ap = 1, w1 = 10648.36, w2 = 10427.3, dw = -0.13397, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 2, w1 = 10454.77, w2 = 10237.73, dw = -0.13154, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 3, w1 = 10268.09, w2 = 10054.93, dw = -0.12919, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 4, w1 = 10087.96, w2 = 9878.542, dw = -0.12692, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 5, w1 = 9914.04, w2 = 9708.237, dw = -0.12473, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 6, w1 = 9746.018, w2 = 9543.705, dw = -0.12261, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 7, w1 = 9583.596, w2 = 9384.657, dw = -0.12057, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 8, w1 = 9426.5, w2 = 9230.824, dw = -0.11859, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 9, w1 = 9274.471, w2 = 9081.953, dw = -0.11668, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 10, w1 = 9127.268, w2 = 8937.809, dw = -0.11482, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 11, w1 = 8984.665, w2 = 8798.169, dw = -0.11303, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 12, w1 = 8846.451, w2 = 8662.825, dw = -0.11129, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 13, w1 = 8712.424, w2 = 8531.583, dw = -0.1096, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 14, w1 = 8582.398, w2 = 8404.259, dw = -0.10796, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 15, w1 = 8456.197, w2 = 8280.679, dw = -0.10637, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 16, w1 = 8333.653, w2 = 8160.681, dw = -0.10483, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 17, w1 = 8214.611, w2 = 8044.112, dw = -0.10333, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 18, w1 = 8098.922, w2 = 7930.827, dw = -0.10188, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 19, w1 = 7986.447, w2 = 7820.688, dw = -0.10046, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 20, w1 = 7877.053, w2 = 7713.567, dw = -0.09908, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 21, w1 = 7770.615, w2 = 7609.341, dw = -0.09774, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 22, w1 = 7667.017, w2 = 7507.895, dw = -0.09644, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 23, w1 = 7566.144, w2 = 7409.118, dw = -0.09517, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 24, w1 = 7467.891, w2 = 7312.907, dw = -0.09393, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 25, w1 = 7372.158, w2 = 7219.163, dw = -0.09272, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 26, w1 = 7278.849, w2 = 7127.792, dw = -0.09155, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 27, w1 = 7187.872, w2 = 7038.705, dw = -0.0904, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 28, w1 = 7099.141, w2 = 6951.818, dw = -0.08929, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 29, w1 = 7012.575, w2 = 6867.051, dw = -0.0882, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 30, w1 = 6928.095, w2 = 6784.326, dw = -0.08713, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 31, w1 = 6845.626, w2 = 6703.57, dw = -0.08609, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 32, w1 = 6765.098, w2 = 6624.715, dw = -0.08508, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 33, w1 = 6686.442, w2 = 6547.694, dw = -0.08409, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 34, w1 = 6609.595, w2 = 6472.443, dw = -0.08312, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 35, w1 = 6534.494, w2 = 6398.903, dw = -0.08218, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 36, w1 = 6461.081, w2 = 6327.015, dw = -0.08125, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 37, w1 = 6389.299, w2 = 6256.725, dw = -0.08035, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 38, w1 = 6319.095, w2 = 6187.98, dw = -0.07946, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 39, w1 = 6250.418, w2 = 6120.729, dw = -0.0786, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 40, w1 = 6183.217, w2 = 6054.924, dw = -0.07775, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 41, w1 = 6117.446, w2 = 5990.52, dw = -0.07692, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 42, w1 = 6053.06, w2 = 5927.472, dw = -0.07611, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 43, w1 = 5990.015, w2 = 5865.737, dw = -0.07532, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 44, w1 = 5928.27, w2 = 5805.275, dw = -0.07454, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 45, w1 = 5867.786, w2 = 5746.047, dw = -0.07378, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 46, w1 = 5808.523, w2 = 5688.016, dw = -0.07303, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 47, w1 = 5750.446, w2 = 5631.145, dw = -0.0723, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 48, w1 = 5693.519, w2 = 5575.401, dw = -0.07159, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 49, w1 = 5637.708, w2 = 5520.75, dw = -0.07088, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 50, w1 = 5582.981, w2 = 5467.16, dw = -0.07019, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 51, w1 = 5529.306, w2 = 5414.6, dw = -0.06952, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 52, w1 = 5476.654, w2 = 5363.042, dw = -0.06886, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 53, w1 = 5424.995, w2 = 5312.457, dw = -0.06821, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 54, w1 = 5374.302, w2 = 5262.817, dw = -0.06757, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 55, w1 = 5324.548, w2 = 5214.096, dw = -0.06694, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 56, w1 = 5275.707, w2 = 5166.27, dw = -0.06633, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 57, w1 = 5227.754, w2 = 5119.313, dw = -0.06572, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 58, w1 = 5180.665, w2 = 5073.203, dw = -0.06513, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 59, w1 = 5134.417, w2 = 5027.915, dw = -0.06455, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 60, w1 = 5088.988, w2 = 4983.43, dw = -0.06397, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 61, w1 = 5044.356, w2 = 4939.725, dw = -0.06341, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 62, w1 = 5000.5, w2 = 4896.78, dw = -0.06286, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 63, w1 = 4957.4, w2 = 4854.576, dw = -0.06232, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 64, w1 = 4915.037, w2 = 4813.093, dw = -0.06178, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 65, w1 = 4873.392, w2 = 4772.313, dw = -0.06126, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 66, w1 = 4832.448, w2 = 4732.219, dw = -0.06074, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 67, w1 = 4792.186, w2 = 4692.793, dw = -0.06024, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 68, w1 = 4752.589, w2 = 4654.019, dw = -0.05974, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 69, w1 = 4713.641, w2 = 4615.881, dw = -0.05925, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 70, w1 = 4675.327, w2 = 4578.363, dw = -0.05877, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 71, w1 = 4637.632, w2 = 4541.45, dw = -0.05829, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 72, w1 = 4600.539, w2 = 4505.127, dw = -0.05783, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 73, w1 = 4564.035, w2 = 4469.382, dw = -0.05737, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 74, w1 = 4528.106, w2 = 4434.199, dw = -0.05691, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 75, w1 = 4492.739, w2 = 4399.566, dw = -0.05647, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 76, w1 = 4457.92, w2 = 4365.471, dw = -0.05603, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 77, w1 = 4423.637, w2 = 4331.899, dw = -0.0556, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 78, w1 = 4389.877, w2 = 4298.841, dw = -0.05517, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 79, w1 = 4356.629, w2 = 4266.283, dw = -0.05475, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 80, w1 = 4323.881, w2 = 4234.216, dw = -0.05434, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 81, w1 = 4291.622, w2 = 4202.626, dw = -0.05394, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 82, w1 = 4259.841, w2 = 4171.505, dw = -0.05354, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 83, w1 = 4228.528, w2 = 4140.842, dw = -0.05314, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 84, w1 = 4197.671, w2 = 4110.627, dw = -0.05275, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 85, w1 = 4167.262, w2 = 4080.849, dw = -0.05237, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 86, w1 = 4137.291, w2 = 4051.5, dw = -0.05199, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 87, w1 = 4107.748, w2 = 4022.57, dw = -0.05162, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 88, w1 = 4078.624, w2 = 3994.051, dw = -0.05126, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 89, w1 = 4049.911, w2 = 3965.934, dw = -0.0509, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 90, w1 = 4021.599, w2 = 3938.21, dw = -0.05054, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 91, w1 = 3993.68, w2 = 3910.871, dw = -0.05019, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 92, w1 = 3966.147, w2 = 3883.909, dw = -0.04984, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 93, w1 = 3938.991, w2 = 3857.317, dw = -0.0495, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 94, w1 = 3912.204, w2 = 3831.086, dw = -0.04916, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 95, w1 = 3885.78, w2 = 3805.211, dw = -0.04883, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 96, w1 = 3859.711, w2 = 3779.682, dw = -0.0485, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 97, w1 = 3833.989, w2 = 3754.494, dw = -0.04818, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 98, w1 = 3808.608, w2 = 3729.64, dw = -0.04786, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 99, w1 = 3783.561, w2 = 3705.113, dw = -0.04754, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 100, w1 = 3758.842, w2 = 3680.907, dw = -0.04723, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 101, w1 = 3734.444, w2 = 3657.015, dw = -0.04693, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 102, w1 = 3710.36, w2 = 3633.431, dw = -0.04662, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 103, w1 = 3686.586, w2 = 3610.15, dw = -0.04632, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 104, w1 = 3663.115, w2 = 3587.166, dw = -0.04603, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 105, w1 = 3639.941, w2 = 3564.472, dw = -0.04574, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 106, w1 = 3617.058, w2 = 3542.065, dw = -0.04545, nw = 1651 zEchelleThAr.0004.ec.fits: ap = 107, w1 = 3594.462, w2 = 3519.937, dw = -0.04517, nw = 1651 Continuum fitting the spectra... Combining spectra... Dec 10 14:53: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120510.0011.ec.fits[ 1] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 2] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 3] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 4] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 5] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 6] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 7] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 8] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 9] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 10] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 11] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 12] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 13] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 14] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 15] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 16] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 17] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 18] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 19] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 20] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 21] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 22] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 23] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 24] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 25] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 26] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 27] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 28] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 29] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 30] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 31] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 32] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 33] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 34] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 35] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 36] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 37] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 38] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 39] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 40] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 41] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 42] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 43] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 44] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 45] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 46] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 47] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 48] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 49] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 50] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 51] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 52] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 53] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 54] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 55] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 56] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 57] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 58] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 59] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 60] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 61] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 62] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 63] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 64] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 65] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 66] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 67] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 68] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 69] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 70] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 71] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 72] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 73] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 74] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 75] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 76] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 77] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 78] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 79] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 80] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 81] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 82] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 83] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 84] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 85] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 86] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 87] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 88] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 89] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 90] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 91] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 92] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 93] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 94] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 95] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 96] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 97] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 98] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[ 99] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[100] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[101] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[102] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[103] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[104] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[105] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[106] 1800.0 1.000 0. 0.009 120510.0011.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sum120510.0011.ec.fits, ncombine = 107, exptime = 192600. w1 = 3519.937, w2 = 10648.36, dw = 0.04516634, nw = 157827., dtype = 0 Dec 10 14:54: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120510.0012.ec.fits[ 1] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 2] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 3] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 4] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 5] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 6] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 7] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 8] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 9] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 10] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 11] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 12] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 13] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 14] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 15] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 16] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 17] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 18] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 19] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 20] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 21] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 22] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 23] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 24] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 25] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 26] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 27] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 28] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 29] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 30] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 31] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 32] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 33] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 34] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 35] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 36] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 37] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 38] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 39] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 40] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 41] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 42] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 43] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 44] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 45] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 46] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 47] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 48] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 49] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 50] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 51] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 52] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 53] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 54] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 55] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 56] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 57] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 58] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 59] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 60] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 61] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 62] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 63] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 64] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 65] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 66] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 67] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 68] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 69] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 70] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 71] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 72] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 73] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 74] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 75] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 76] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 77] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 78] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 79] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 80] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 81] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 82] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 83] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 84] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 85] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 86] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 87] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 88] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 89] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 90] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 91] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 92] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 93] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 94] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 95] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 96] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 97] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 98] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[ 99] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[100] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[101] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[102] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[103] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[104] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[105] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[106] 1800.0 1.000 0. 0.009 120510.0012.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sum120510.0012.ec.fits, ncombine = 107, exptime = 192600. w1 = 3519.937, w2 = 10648.36, dw = 0.04516634, nw = 157827., dtype = 0 Dec 10 14:55: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120510.0013.ec.fits[ 1] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 2] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 3] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 4] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 5] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 6] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 7] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 8] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 9] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 10] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 11] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 12] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 13] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 14] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 15] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 16] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 17] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 18] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 19] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 20] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 21] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 22] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 23] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 24] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 25] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 26] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 27] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 28] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 29] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 30] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 31] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 32] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 33] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 34] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 35] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 36] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 37] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 38] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 39] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 40] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 41] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 42] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 43] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 44] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 45] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 46] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 47] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 48] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 49] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 50] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 51] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 52] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 53] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 54] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 55] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 56] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 57] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 58] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 59] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 60] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 61] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 62] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 63] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 64] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 65] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 66] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 67] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 68] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 69] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 70] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 71] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 72] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 73] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 74] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 75] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 76] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 77] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 78] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 79] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 80] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 81] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 82] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 83] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 84] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 85] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 86] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 87] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 88] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 89] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 90] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 91] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 92] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 93] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 94] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 95] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 96] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 97] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 98] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[ 99] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[100] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[101] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[102] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[103] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[104] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[105] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[106] 1200.0 1.000 0. 0.009 120510.0013.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sum120510.0013.ec.fits, ncombine = 107, exptime = 128400. w1 = 3519.937, w2 = 10648.36, dw = 0.04516634, nw = 157827., dtype = 0 Dec 10 14:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120510.0014.ec.fits[ 1] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 2] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 3] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 4] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 5] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 6] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 7] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 8] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 9] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 10] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 11] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 12] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 13] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 14] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 15] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 16] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 17] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 18] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 19] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 20] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 21] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 22] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 23] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 24] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 25] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 26] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 27] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 28] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 29] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 30] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 31] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 32] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 33] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 34] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 35] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 36] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 37] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 38] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 39] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 40] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 41] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 42] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 43] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 44] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 45] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 46] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 47] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 48] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 49] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 50] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 51] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 52] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 53] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 54] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 55] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 56] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 57] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 58] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 59] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 60] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 61] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 62] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 63] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 64] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 65] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 66] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 67] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 68] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 69] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 70] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 71] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 72] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 73] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 74] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 75] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 76] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 77] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 78] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 79] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 80] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 81] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 82] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 83] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 84] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 85] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 86] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 87] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 88] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 89] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 90] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 91] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 92] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 93] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 94] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 95] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 96] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 97] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 98] 600.0 1.000 0. 0.009 120510.0014.ec.fits[ 99] 600.0 1.000 0. 0.009 120510.0014.ec.fits[100] 600.0 1.000 0. 0.009 120510.0014.ec.fits[101] 600.0 1.000 0. 0.009 120510.0014.ec.fits[102] 600.0 1.000 0. 0.009 120510.0014.ec.fits[103] 600.0 1.000 0. 0.009 120510.0014.ec.fits[104] 600.0 1.000 0. 0.009 120510.0014.ec.fits[105] 600.0 1.000 0. 0.009 120510.0014.ec.fits[106] 600.0 1.000 0. 0.009 120510.0014.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120510.0014.ec.fits, ncombine = 107, exptime = 64200.08 w1 = 3519.937, w2 = 10648.36, dw = 0.04516634, nw = 157827., dtype = 0 Dec 10 14:56: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120510.0011.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120510.0011.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sumfitcont120510.0011.ec.fits, ncombine = 107, exptime = 192600. w1 = 3519.937, w2 = 10648.36, dw = 0.04516634, nw = 157827., dtype = 0 Dec 10 14:57: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120510.0012.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120510.0012.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sumfitcont120510.0012.ec.fits, ncombine = 107, exptime = 192600. w1 = 3519.937, w2 = 10648.36, dw = 0.04516634, nw = 157827., dtype = 0 Dec 10 14:58: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120510.0013.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont120510.0013.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sumfitcont120510.0013.ec.fits, ncombine = 107, exptime = 128400. w1 = 3519.937, w2 = 10648.36, dw = 0.04516634, nw = 157827., dtype = 0 Dec 10 14:59: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120510.0014.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120510.0014.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120510.0014.ec.fits, ncombine = 107, exptime = 64200.08 w1 = 3519.937, w2 = 10648.36, dw = 0.04516634, nw = 157827., dtype = 0 192600. fullspec120510.0011.ec.fits,EXPTIME: 192600. -> 1800.0 fullspec120510.0011.ec.fits updated 192600. fullspec120510.0012.ec.fits,EXPTIME: 192600. -> 1800.0 fullspec120510.0012.ec.fits updated 128400. fullspec120510.0013.ec.fits,EXPTIME: 128400. -> 1200.0 fullspec120510.0013.ec.fits updated 64200.08 fullspec120510.0014.ec.fits,EXPTIME: 64200.08 -> 600.000747664 fullspec120510.0014.ec.fits updated ALL DONE! Yay! (=^.^=)