Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 120627.0005.fits,dispaxis = 1 120627.0005.fits updated add 120627.0006.fits,dispaxis = 1 120627.0006.fits updated add 120627.0007.fits,dispaxis = 1 120627.0007.fits updated add 120627.0008.fits,dispaxis = 1 120627.0008.fits updated add 120627.0009.fits,dispaxis = 1 120627.0009.fits updated add 120627.0010.fits,dispaxis = 1 120627.0010.fits updated add 120627.0011.fits,dispaxis = 1 120627.0011.fits updated add Bias.0018.fits,dispaxis = 1 Bias.0018.fits updated add Bias.0019.fits,dispaxis = 1 Bias.0019.fits updated add Bias.0020.fits,dispaxis = 1 Bias.0020.fits updated add Bias.0021.fits,dispaxis = 1 Bias.0021.fits updated add Bias.0022.fits,dispaxis = 1 Bias.0022.fits updated add Bias.0023.fits,dispaxis = 1 Bias.0023.fits updated add Bias.0024.fits,dispaxis = 1 Bias.0024.fits updated add Bias.0025.fits,dispaxis = 1 Bias.0025.fits updated add Bias.0026.fits,dispaxis = 1 Bias.0026.fits updated add Bias.0027.fits,dispaxis = 1 Bias.0027.fits updated add Flat.0012.fits,dispaxis = 1 Flat.0012.fits updated add Flat.0013.fits,dispaxis = 1 Flat.0013.fits updated add Flat.0014.fits,dispaxis = 1 Flat.0014.fits updated add FlatBlue.0015.fits,dispaxis = 1 FlatBlue.0015.fits updated add FlatBlue.0016.fits,dispaxis = 1 FlatBlue.0016.fits updated add FlatBlue.0017.fits,dispaxis = 1 FlatBlue.0017.fits updated add ThAr.0001.fits,dispaxis = 1 ThAr.0001.fits updated add ThAr.0002.fits,dispaxis = 1 ThAr.0002.fits updated add ThAr.0003.fits,dispaxis = 1 ThAr.0003.fits updated add ThAr.0004.fits,dispaxis = 1 ThAr.0004.fits updated FIXPIX: image Flat.0012.fits with mask echmask.pl FIXPIX: image Flat.0013.fits with mask echmask.pl FIXPIX: image Flat.0014.fits with mask echmask.pl FIXPIX: image FlatBlue.0015.fits with mask echmask.pl FIXPIX: image FlatBlue.0016.fits with mask echmask.pl FIXPIX: image FlatBlue.0017.fits with mask echmask.pl FIXPIX: image 120627.0005.fits with mask echmask.pl FIXPIX: image 120627.0006.fits with mask echmask.pl FIXPIX: image 120627.0007.fits with mask echmask.pl FIXPIX: image 120627.0008.fits with mask echmask.pl FIXPIX: image 120627.0009.fits with mask echmask.pl FIXPIX: image 120627.0010.fits with mask echmask.pl FIXPIX: image 120627.0011.fits with mask echmask.pl FIXPIX: image ThAr.0001.fits with mask echmask.pl FIXPIX: image ThAr.0002.fits with mask echmask.pl FIXPIX: image ThAr.0003.fits with mask echmask.pl FIXPIX: image ThAr.0004.fits with mask echmask.pl Dec 10 12:56: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp Bias.0018.fits 0.0 Bias.0019.fits 0.0 Bias.0020.fits 0.9 Bias.0021.fits 0.0 Bias.0022.fits 0.9 Bias.0023.fits 0.0 Bias.0024.fits 0.9 Bias.0025.fits 0.0 Bias.0026.fits 0.9 Bias.0027.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 120627.0005.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0005.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0006.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0006.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0007.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0007.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0008.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0008.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0009.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0009.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0010.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0010.fits: Dec 10 12:56 Zero level correction image is bias_fid 120627.0011.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120627.0011.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Flat.0012.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] Flat.0012.fits: Dec 10 12:56 Zero level correction image is bias_fid Flat.0013.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] Flat.0013.fits: Dec 10 12:56 Zero level correction image is bias_fid Flat.0014.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] Flat.0014.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... FlatBlue.0015.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] FlatBlue.0015.fits: Dec 10 12:56 Zero level correction image is bias_fid FlatBlue.0016.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] FlatBlue.0016.fits: Dec 10 12:56 Zero level correction image is bias_fid FlatBlue.0017.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] FlatBlue.0017.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating ThAr arcs... ThAr.0001.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] ThAr.0001.fits: Dec 10 12:56 Zero level correction image is bias_fid ThAr.0002.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] ThAr.0002.fits: Dec 10 12:56 Zero level correction image is bias_fid ThAr.0003.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] ThAr.0003.fits: Dec 10 12:56 Zero level correction image is bias_fid ThAr.0004.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] ThAr.0004.fits: Dec 10 12:56 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 12:57: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp FlatBlue.0015.fits 200.0 FlatBlue.0016.fits 200.0 FlatBlue.0017.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 3 Dec 10 12:57: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp Flat.0012.fits 7.0 Flat.0013.fits 7.0 Flat.0014.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 12:57: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1617. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1618. Dec 10 12:57: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 59. Dec 10 12:57: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 58. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1588. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1589. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1615. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1616. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1618. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1619. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1620. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1533. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1534. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1583. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1584. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1585. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1533. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1534. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1535. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1633. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1634. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 103. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 102. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1581. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1582. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1583. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 102. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 101. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1506. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1507. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1511. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1512. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1530. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1531. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1575. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1576. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1577. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1578. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1618. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1619. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1620. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 103. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 102. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 65. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 64. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 63. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 62. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 11.08 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... ThAr.0001.fits Magnify image ThAr.0001.fits to image ThAr.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 ThAr.0001.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0001.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0002.fits Magnify image ThAr.0002.fits to image ThAr.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 ThAr.0002.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0002.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0003.fits Magnify image ThAr.0003.fits to image ThAr.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 ThAr.0003.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0003.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0004.fits Magnify image ThAr.0004.fits to image ThAr.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 ThAr.0004.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0004.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0005 Magnify image 120627.0005 to image 120627.0005. 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 120627.0005,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0005 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0005 -> noscat120627.0005 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0006 Magnify image 120627.0006 to image 120627.0006. 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 120627.0006,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0006 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0006 -> noscat120627.0006 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 13:00: EXTRACT: WARNING - Aperture 1: Dec 10 13:00: Total variance weighted spectrum flux is 5045.957 Dec 10 13:00: Total unweighted spectrum flux is 328.3771 Dec 10 13:00: EXTRACT: Aperture 1 variance spectrum bias factor is 0.06507728 Resampling the object by a factor of 4 in the y direction... 120627.0007 Magnify image 120627.0007 to image 120627.0007. 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 120627.0007,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0007 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0007 -> noscat120627.0007 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0008 Magnify image 120627.0008 to image 120627.0008. 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 120627.0008,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0008 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0008 -> noscat120627.0008 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0009 Magnify image 120627.0009 to image 120627.0009. 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 120627.0009,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0009 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0009 -> noscat120627.0009 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0010 Magnify image 120627.0010 to image 120627.0010. 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 120627.0010,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0010 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0010 -> noscat120627.0010 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120627.0011 Magnify image 120627.0011 to image 120627.0011. 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 120627.0011,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120627.0011 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120627.0011 -> noscat120627.0011 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add ThAr.0001.ec.fits,REFSPEC1 = ThAr.0001.ec.fits ThAr.0001.ec.fits updated add ThAr.0002.ec.fits,REFSPEC1 = ThAr.0002.ec.fits ThAr.0002.ec.fits updated add ThAr.0003.ec.fits,REFSPEC1 = ThAr.0003.ec.fits ThAr.0003.ec.fits updated add ThAr.0004.ec.fits,REFSPEC1 = ThAr.0004.ec.fits ThAr.0004.ec.fits updated Flatfielding extracted arcs and object spectra... parameter ThAr.0001.ec.fits,UTMIDDLE already exists ThAr.0001.ec.fits updated ThAr.0001.ec.fits,UTMIDDLE: 06:54:41.165 -> 06:55:15.165008 ThAr.0001.ec.fits updated parameter ThAr.0002.ec.fits,UTMIDDLE already exists ThAr.0002.ec.fits updated ThAr.0002.ec.fits,UTMIDDLE: 06:57:32.969 -> 06:58:06.968220 ThAr.0002.ec.fits updated parameter ThAr.0003.ec.fits,UTMIDDLE already exists ThAr.0003.ec.fits updated ThAr.0003.ec.fits,UTMIDDLE: 07:00:35.745 -> 07:01:09.744756 ThAr.0003.ec.fits updated parameter ThAr.0004.ec.fits,UTMIDDLE already exists ThAr.0004.ec.fits updated ThAr.0004.ec.fits,UTMIDDLE: 07:03:38.223 -> 07:04:12.222784 ThAr.0004.ec.fits updated parameter 120627.0005.ec.fits,UTMIDDLE already exists 120627.0005.ec.fits updated 120627.0005.ec.fits,UTMIDDLE: 07:45:14.550 -> 07:45:48.550012 120627.0005.ec.fits updated parameter 120627.0006.ec.fits,UTMIDDLE already exists 120627.0006.ec.fits updated 120627.0006.ec.fits,UTMIDDLE: 08:33:14.427 -> 08:33:48.426172 120627.0006.ec.fits updated parameter 120627.0007.ec.fits,UTMIDDLE already exists 120627.0007.ec.fits updated 120627.0007.ec.fits,UTMIDDLE: 09:21:00.516 -> 09:21:34.515772 120627.0007.ec.fits updated parameter 120627.0008.ec.fits,UTMIDDLE already exists 120627.0008.ec.fits updated 120627.0008.ec.fits,UTMIDDLE: 10:02:02.442 -> 10:02:36.441927 120627.0008.ec.fits updated parameter 120627.0009.ec.fits,UTMIDDLE already exists 120627.0009.ec.fits updated 120627.0009.ec.fits,UTMIDDLE: 10:34:39.879 -> 10:35:13.879021 120627.0009.ec.fits updated parameter 120627.0010.ec.fits,UTMIDDLE already exists 120627.0010.ec.fits updated 120627.0010.ec.fits,UTMIDDLE: 11:07:21.377 -> 11:07:55.376907 120627.0010.ec.fits updated parameter 120627.0011.ec.fits,UTMIDDLE already exists 120627.0011.ec.fits updated 120627.0011.ec.fits,UTMIDDLE: 11:31:26.619 -> 11:32:00.618598 120627.0011.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 120627.0005.ec.fits 2456106.82348 2456106.82605 2456106 120627.0006.ec.fits 2456106.85681 2456106.85938 2456106 120627.0007.ec.fits 2456106.88998 2456106.89255 2456106 120627.0008.ec.fits 2456106.91848 2456106.92057 2456106 120627.0009.ec.fits 2456106.94113 2456106.94323 2456106 120627.0010.ec.fits 2456106.96384 2456106.96593 2456106 120627.0011.ec.fits 2456106.98056 2456106.98305 2456106 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 13:10:37 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS ThAr.0001.ec 1219/1599 1219/1219 3.37 -24.4 -4.3E-5 0.0123 ThAr.0002.ec 1592/1599 1592/1592 3.38 -24.5 -4.3E-5 0.00689 ThAr.0003.ec 1592/1599 1592/1592 3.4 -24.6 -4.3E-5 0.00596 ThAr.0004.ec 1593/1599 1593/1593 3.41 -24.7 -4.3E-5 0.00586 [120627.0005.ec] refspec1='ThAr.0004.ec' [120627.0006.ec] refspec1='ThAr.0004.ec' [120627.0007.ec] refspec1='ThAr.0004.ec' [120627.0008.ec] refspec1='ThAr.0004.ec' [120627.0009.ec] refspec1='ThAr.0004.ec' [120627.0010.ec] refspec1='ThAr.0004.ec' [120627.0011.ec] refspec1='ThAr.0004.ec' [ThAr.0001.ec] refspec1='ThAr.0001.ec' [ThAr.0002.ec] refspec1='ThAr.0002.ec' [ThAr.0003.ec] refspec1='ThAr.0003.ec' [ThAr.0004.ec] refspec1='ThAr.0004.ec' 120627.0005.ec.fits: REFSPEC1 = 'ThAr.0004.ec 1.' 120627.0005.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 120627.0005.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 120627.0005.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 120627.0005.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.41, dw = -0.1269, nw = 1651 120627.0005.ec.fits: ap = 5, w1 = 9914.871, w2 = 9709.09, dw = -0.12472, nw = 1651 120627.0005.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.544, dw = -0.1226, nw = 1651 120627.0005.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.483, dw = -0.12056, nw = 1651 120627.0005.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.636, dw = -0.11858, nw = 1651 120627.0005.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.753, dw = -0.11667, nw = 1651 120627.0005.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.596, dw = -0.11481, nw = 1651 120627.0005.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.944, dw = -0.11302, nw = 1651 120627.0005.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.588, dw = -0.11128, nw = 1651 120627.0005.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.335, dw = -0.10959, nw = 1651 120627.0005.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.999, dw = -0.10795, nw = 1651 120627.0005.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.409, dw = -0.10636, nw = 1651 120627.0005.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.401, dw = -0.10482, nw = 1651 120627.0005.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.822, dw = -0.10332, nw = 1651 120627.0005.ec.fits: ap = 18, w1 = 8099.607, w2 = 7931.526, dw = -0.10187, nw = 1651 120627.0005.ec.fits: ap = 19, w1 = 7987.122, w2 = 7821.378, dw = -0.10045, nw = 1651 120627.0005.ec.fits: ap = 20, w1 = 7877.72, w2 = 7714.248, dw = -0.09907, nw = 1651 120627.0005.ec.fits: ap = 21, w1 = 7771.274, w2 = 7610.013, dw = -0.09773, nw = 1651 120627.0005.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.557, dw = -0.09643, nw = 1651 120627.0005.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 120627.0005.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.552, dw = -0.09392, nw = 1651 120627.0005.ec.fits: ap = 25, w1 = 7372.784, w2 = 7219.8, dw = -0.09272, nw = 1651 120627.0005.ec.fits: ap = 26, w1 = 7279.467, w2 = 7128.421, dw = -0.09154, nw = 1651 120627.0005.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.327, dw = -0.0904, nw = 1651 120627.0005.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 120627.0005.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 120627.0005.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.925, dw = -0.08713, nw = 1651 120627.0005.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 120627.0005.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.3, dw = -0.08507, nw = 1651 120627.0005.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.272, dw = -0.08408, nw = 1651 120627.0005.ec.fits: ap = 34, w1 = 6610.157, w2 = 6473.015, dw = -0.08312, nw = 1651 120627.0005.ec.fits: ap = 35, w1 = 6535.05, w2 = 6399.468, dw = -0.08217, nw = 1651 120627.0005.ec.fits: ap = 36, w1 = 6461.631, w2 = 6327.574, dw = -0.08125, nw = 1651 120627.0005.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.278, dw = -0.08034, nw = 1651 120627.0005.ec.fits: ap = 38, w1 = 6319.634, w2 = 6188.526, dw = -0.07946, nw = 1651 120627.0005.ec.fits: ap = 39, w1 = 6250.95, w2 = 6121.269, dw = -0.07859, nw = 1651 120627.0005.ec.fits: ap = 40, w1 = 6183.744, w2 = 6055.459, dw = -0.07775, nw = 1651 120627.0005.ec.fits: ap = 41, w1 = 6117.968, w2 = 5991.049, dw = -0.07692, nw = 1651 120627.0005.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.995, dw = -0.07611, nw = 1651 120627.0005.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.255, dw = -0.07532, nw = 1651 120627.0005.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.788, dw = -0.07454, nw = 1651 120627.0005.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.555, dw = -0.07378, nw = 1651 120627.0005.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.518, dw = -0.07303, nw = 1651 120627.0005.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.642, dw = -0.0723, nw = 1651 120627.0005.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.893, dw = -0.07158, nw = 1651 120627.0005.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.237, dw = -0.07088, nw = 1651 120627.0005.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.642, dw = -0.07019, nw = 1651 120627.0005.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.078, dw = -0.06952, nw = 1651 120627.0005.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.515, dw = -0.06885, nw = 1651 120627.0005.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.925, dw = -0.0682, nw = 1651 120627.0005.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.281, dw = -0.06756, nw = 1651 120627.0005.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.556, dw = -0.06694, nw = 1651 120627.0005.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.726, dw = -0.06632, nw = 1651 120627.0005.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.765, dw = -0.06572, nw = 1651 120627.0005.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.65, dw = -0.06513, nw = 1651 120627.0005.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.359, dw = -0.06454, nw = 1651 120627.0005.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.869, dw = -0.06397, nw = 1651 120627.0005.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.16, dw = -0.06341, nw = 1651 120627.0005.ec.fits: ap = 62, w1 = 5000.928, w2 = 4897.212, dw = -0.06286, nw = 1651 120627.0005.ec.fits: ap = 63, w1 = 4957.825, w2 = 4855.004, dw = -0.06232, nw = 1651 120627.0005.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.517, dw = -0.06178, nw = 1651 120627.0005.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.734, dw = -0.06126, nw = 1651 120627.0005.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.636, dw = -0.06074, nw = 1651 120627.0005.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.207, dw = -0.06024, nw = 1651 120627.0005.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.429, dw = -0.05974, nw = 1651 120627.0005.ec.fits: ap = 69, w1 = 4714.047, w2 = 4616.287, dw = -0.05925, nw = 1651 120627.0005.ec.fits: ap = 70, w1 = 4675.729, w2 = 4578.766, dw = -0.05877, nw = 1651 120627.0005.ec.fits: ap = 71, w1 = 4638.03, w2 = 4541.849, dw = -0.05829, nw = 1651 120627.0005.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.524, dw = -0.05782, nw = 1651 120627.0005.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.775, dw = -0.05737, nw = 1651 120627.0005.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 120627.0005.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.953, dw = -0.05647, nw = 1651 120627.0005.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.854, dw = -0.05603, nw = 1651 120627.0005.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.28, dw = -0.0556, nw = 1651 120627.0005.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.219, dw = -0.05517, nw = 1651 120627.0005.ec.fits: ap = 79, w1 = 4357.005, w2 = 4266.658, dw = -0.05476, nw = 1651 120627.0005.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.588, dw = -0.05434, nw = 1651 120627.0005.ec.fits: ap = 81, w1 = 4291.993, w2 = 4202.996, dw = -0.05394, nw = 1651 120627.0005.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.872, dw = -0.05354, nw = 1651 120627.0005.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.206, dw = -0.05314, nw = 1651 120627.0005.ec.fits: ap = 84, w1 = 4198.035, w2 = 4110.987, dw = -0.05276, nw = 1651 120627.0005.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.207, dw = -0.05237, nw = 1651 120627.0005.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.855, dw = -0.052, nw = 1651 120627.0005.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.923, dw = -0.05163, nw = 1651 120627.0005.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.401, dw = -0.05126, nw = 1651 120627.0005.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 120627.0005.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 120627.0005.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.213, dw = -0.05019, nw = 1651 120627.0005.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.249, dw = -0.04984, nw = 1651 120627.0005.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.654, dw = -0.0495, nw = 1651 120627.0005.ec.fits: ap = 94, w1 = 3912.546, w2 = 3831.422, dw = -0.04917, nw = 1651 120627.0005.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.543, dw = -0.04883, nw = 1651 120627.0005.ec.fits: ap = 96, w1 = 3860.048, w2 = 3780.013, dw = -0.04851, nw = 1651 120627.0005.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.822, dw = -0.04818, nw = 1651 120627.0005.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.966, dw = -0.04786, nw = 1651 120627.0005.ec.fits: ap = 99, w1 = 3783.893, w2 = 3705.437, dw = -0.04755, nw = 1651 120627.0005.ec.fits: ap = 100, w1 = 3759.172, w2 = 3681.228, dw = -0.04724, nw = 1651 120627.0005.ec.fits: ap = 101, w1 = 3734.772, w2 = 3657.334, dw = -0.04693, nw = 1651 120627.0005.ec.fits: ap = 102, w1 = 3710.687, w2 = 3633.748, dw = -0.04663, nw = 1651 120627.0005.ec.fits: ap = 103, w1 = 3686.911, w2 = 3610.465, dw = -0.04633, nw = 1651 120627.0005.ec.fits: ap = 104, w1 = 3663.438, w2 = 3587.479, dw = -0.04604, nw = 1651 120627.0005.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.783, dw = -0.04574, nw = 1651 120627.0005.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.374, dw = -0.04546, nw = 1651 120627.0005.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.244, dw = -0.04517, nw = 1651 120627.0006.ec.fits: REFSPEC1 = 'ThAr.0004.ec 1.' 120627.0006.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 120627.0006.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 120627.0006.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 120627.0006.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.41, dw = -0.1269, nw = 1651 120627.0006.ec.fits: ap = 5, w1 = 9914.871, w2 = 9709.09, dw = -0.12472, nw = 1651 120627.0006.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.544, dw = -0.1226, nw = 1651 120627.0006.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.483, dw = -0.12056, nw = 1651 120627.0006.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.636, dw = -0.11858, nw = 1651 120627.0006.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.753, dw = -0.11667, nw = 1651 120627.0006.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.596, dw = -0.11481, nw = 1651 120627.0006.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.944, dw = -0.11302, nw = 1651 120627.0006.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.588, dw = -0.11128, nw = 1651 120627.0006.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.335, dw = -0.10959, nw = 1651 120627.0006.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.999, dw = -0.10795, nw = 1651 120627.0006.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.409, dw = -0.10636, nw = 1651 120627.0006.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.401, dw = -0.10482, nw = 1651 120627.0006.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.822, dw = -0.10332, nw = 1651 120627.0006.ec.fits: ap = 18, w1 = 8099.607, w2 = 7931.526, dw = -0.10187, nw = 1651 120627.0006.ec.fits: ap = 19, w1 = 7987.122, w2 = 7821.378, dw = -0.10045, nw = 1651 120627.0006.ec.fits: ap = 20, w1 = 7877.72, w2 = 7714.248, dw = -0.09907, nw = 1651 120627.0006.ec.fits: ap = 21, w1 = 7771.274, w2 = 7610.013, dw = -0.09773, nw = 1651 120627.0006.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.557, dw = -0.09643, nw = 1651 120627.0006.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 120627.0006.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.552, dw = -0.09392, nw = 1651 120627.0006.ec.fits: ap = 25, w1 = 7372.784, w2 = 7219.8, dw = -0.09272, nw = 1651 120627.0006.ec.fits: ap = 26, w1 = 7279.467, w2 = 7128.421, dw = -0.09154, nw = 1651 120627.0006.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.327, dw = -0.0904, nw = 1651 120627.0006.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 120627.0006.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 120627.0006.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.925, dw = -0.08713, nw = 1651 120627.0006.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 120627.0006.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.3, dw = -0.08507, nw = 1651 120627.0006.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.272, dw = -0.08408, nw = 1651 120627.0006.ec.fits: ap = 34, w1 = 6610.157, w2 = 6473.015, dw = -0.08312, nw = 1651 120627.0006.ec.fits: ap = 35, w1 = 6535.05, w2 = 6399.468, dw = -0.08217, nw = 1651 120627.0006.ec.fits: ap = 36, w1 = 6461.631, w2 = 6327.574, dw = -0.08125, nw = 1651 120627.0006.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.278, dw = -0.08034, nw = 1651 120627.0006.ec.fits: ap = 38, w1 = 6319.634, w2 = 6188.526, dw = -0.07946, nw = 1651 120627.0006.ec.fits: ap = 39, w1 = 6250.95, w2 = 6121.269, dw = -0.07859, nw = 1651 120627.0006.ec.fits: ap = 40, w1 = 6183.744, w2 = 6055.459, dw = -0.07775, nw = 1651 120627.0006.ec.fits: ap = 41, w1 = 6117.968, w2 = 5991.049, dw = -0.07692, nw = 1651 120627.0006.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.995, dw = -0.07611, nw = 1651 120627.0006.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.255, dw = -0.07532, nw = 1651 120627.0006.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.788, dw = -0.07454, nw = 1651 120627.0006.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.555, dw = -0.07378, nw = 1651 120627.0006.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.518, dw = -0.07303, nw = 1651 120627.0006.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.642, dw = -0.0723, nw = 1651 120627.0006.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.893, dw = -0.07158, nw = 1651 120627.0006.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.237, dw = -0.07088, nw = 1651 120627.0006.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.642, dw = -0.07019, nw = 1651 120627.0006.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.078, dw = -0.06952, nw = 1651 120627.0006.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.515, dw = -0.06885, nw = 1651 120627.0006.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.925, dw = -0.0682, nw = 1651 120627.0006.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.281, dw = -0.06756, nw = 1651 120627.0006.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.556, dw = -0.06694, nw = 1651 120627.0006.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.726, dw = -0.06632, nw = 1651 120627.0006.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.765, dw = -0.06572, nw = 1651 120627.0006.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.65, dw = -0.06513, nw = 1651 120627.0006.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.359, dw = -0.06454, nw = 1651 120627.0006.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.869, dw = -0.06397, nw = 1651 120627.0006.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.16, dw = -0.06341, nw = 1651 120627.0006.ec.fits: ap = 62, w1 = 5000.928, w2 = 4897.212, dw = -0.06286, nw = 1651 120627.0006.ec.fits: ap = 63, w1 = 4957.825, w2 = 4855.004, dw = -0.06232, nw = 1651 120627.0006.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.517, dw = -0.06178, nw = 1651 120627.0006.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.734, dw = -0.06126, nw = 1651 120627.0006.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.636, dw = -0.06074, nw = 1651 120627.0006.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.207, dw = -0.06024, nw = 1651 120627.0006.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.429, dw = -0.05974, nw = 1651 120627.0006.ec.fits: ap = 69, w1 = 4714.047, w2 = 4616.287, dw = -0.05925, nw = 1651 120627.0006.ec.fits: ap = 70, w1 = 4675.729, w2 = 4578.766, dw = -0.05877, nw = 1651 120627.0006.ec.fits: ap = 71, w1 = 4638.03, w2 = 4541.849, dw = -0.05829, nw = 1651 120627.0006.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.524, dw = -0.05782, nw = 1651 120627.0006.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.775, dw = -0.05737, nw = 1651 120627.0006.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 120627.0006.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.953, dw = -0.05647, nw = 1651 120627.0006.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.854, dw = -0.05603, nw = 1651 120627.0006.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.28, dw = -0.0556, nw = 1651 120627.0006.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.219, dw = -0.05517, nw = 1651 120627.0006.ec.fits: ap = 79, w1 = 4357.005, w2 = 4266.658, dw = -0.05476, nw = 1651 120627.0006.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.588, dw = -0.05434, nw = 1651 120627.0006.ec.fits: ap = 81, w1 = 4291.993, w2 = 4202.996, dw = -0.05394, nw = 1651 120627.0006.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.872, dw = -0.05354, nw = 1651 120627.0006.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.206, dw = -0.05314, nw = 1651 120627.0006.ec.fits: ap = 84, w1 = 4198.035, w2 = 4110.987, dw = -0.05276, nw = 1651 120627.0006.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.207, dw = -0.05237, nw = 1651 120627.0006.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.855, dw = -0.052, nw = 1651 120627.0006.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.923, dw = -0.05163, nw = 1651 120627.0006.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.401, dw = -0.05126, nw = 1651 120627.0006.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 120627.0006.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 120627.0006.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.213, dw = -0.05019, nw = 1651 120627.0006.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.249, dw = -0.04984, nw = 1651 120627.0006.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.654, dw = -0.0495, nw = 1651 120627.0006.ec.fits: ap = 94, w1 = 3912.546, w2 = 3831.422, dw = -0.04917, nw = 1651 120627.0006.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.543, dw = -0.04883, nw = 1651 120627.0006.ec.fits: ap = 96, w1 = 3860.048, w2 = 3780.013, dw = -0.04851, nw = 1651 120627.0006.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.822, dw = -0.04818, nw = 1651 120627.0006.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.966, dw = -0.04786, nw = 1651 120627.0006.ec.fits: ap = 99, w1 = 3783.893, w2 = 3705.437, dw = -0.04755, nw = 1651 120627.0006.ec.fits: ap = 100, w1 = 3759.172, w2 = 3681.228, dw = -0.04724, nw = 1651 120627.0006.ec.fits: ap = 101, w1 = 3734.772, w2 = 3657.334, dw = -0.04693, nw = 1651 120627.0006.ec.fits: ap = 102, w1 = 3710.687, w2 = 3633.748, dw = -0.04663, nw = 1651 120627.0006.ec.fits: ap = 103, w1 = 3686.911, w2 = 3610.465, dw = -0.04633, nw = 1651 120627.0006.ec.fits: ap = 104, w1 = 3663.438, w2 = 3587.479, dw = -0.04604, nw = 1651 120627.0006.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.783, dw = -0.04574, nw = 1651 120627.0006.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.374, dw = -0.04546, nw = 1651 120627.0006.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.244, dw = -0.04517, nw = 1651 120627.0007.ec.fits: REFSPEC1 = 'ThAr.0004.ec 1.' 120627.0007.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 120627.0007.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 120627.0007.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 120627.0007.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.41, dw = -0.1269, nw = 1651 120627.0007.ec.fits: ap = 5, w1 = 9914.871, w2 = 9709.09, dw = -0.12472, nw = 1651 120627.0007.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.544, dw = -0.1226, nw = 1651 120627.0007.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.483, dw = -0.12056, nw = 1651 120627.0007.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.636, dw = -0.11858, nw = 1651 120627.0007.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.753, dw = -0.11667, nw = 1651 120627.0007.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.596, dw = -0.11481, nw = 1651 120627.0007.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.944, dw = -0.11302, nw = 1651 120627.0007.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.588, dw = -0.11128, nw = 1651 120627.0007.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.335, dw = -0.10959, nw = 1651 120627.0007.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.999, dw = -0.10795, nw = 1651 120627.0007.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.409, dw = -0.10636, nw = 1651 120627.0007.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.401, dw = -0.10482, nw = 1651 120627.0007.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.822, dw = -0.10332, nw = 1651 120627.0007.ec.fits: ap = 18, w1 = 8099.607, w2 = 7931.526, dw = -0.10187, nw = 1651 120627.0007.ec.fits: ap = 19, w1 = 7987.122, w2 = 7821.378, dw = -0.10045, nw = 1651 120627.0007.ec.fits: ap = 20, w1 = 7877.72, w2 = 7714.248, dw = -0.09907, nw = 1651 120627.0007.ec.fits: ap = 21, w1 = 7771.274, w2 = 7610.013, dw = -0.09773, nw = 1651 120627.0007.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.557, dw = -0.09643, nw = 1651 120627.0007.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 120627.0007.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.552, dw = -0.09392, nw = 1651 120627.0007.ec.fits: ap = 25, w1 = 7372.784, w2 = 7219.8, dw = -0.09272, nw = 1651 120627.0007.ec.fits: ap = 26, w1 = 7279.467, w2 = 7128.421, dw = -0.09154, nw = 1651 120627.0007.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.327, dw = -0.0904, nw = 1651 120627.0007.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 120627.0007.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 120627.0007.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.925, dw = -0.08713, nw = 1651 120627.0007.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 120627.0007.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.3, dw = -0.08507, nw = 1651 120627.0007.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.272, dw = -0.08408, nw = 1651 120627.0007.ec.fits: ap = 34, w1 = 6610.157, w2 = 6473.015, dw = -0.08312, nw = 1651 120627.0007.ec.fits: ap = 35, w1 = 6535.05, w2 = 6399.468, dw = -0.08217, nw = 1651 120627.0007.ec.fits: ap = 36, w1 = 6461.631, w2 = 6327.574, dw = -0.08125, nw = 1651 120627.0007.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.278, dw = -0.08034, nw = 1651 120627.0007.ec.fits: ap = 38, w1 = 6319.634, w2 = 6188.526, dw = -0.07946, nw = 1651 120627.0007.ec.fits: ap = 39, w1 = 6250.95, w2 = 6121.269, dw = -0.07859, nw = 1651 120627.0007.ec.fits: ap = 40, w1 = 6183.744, w2 = 6055.459, dw = -0.07775, nw = 1651 120627.0007.ec.fits: ap = 41, w1 = 6117.968, w2 = 5991.049, dw = -0.07692, nw = 1651 120627.0007.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.995, dw = -0.07611, nw = 1651 120627.0007.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.255, dw = -0.07532, nw = 1651 120627.0007.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.788, dw = -0.07454, nw = 1651 120627.0007.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.555, dw = -0.07378, nw = 1651 120627.0007.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.518, dw = -0.07303, nw = 1651 120627.0007.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.642, dw = -0.0723, nw = 1651 120627.0007.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.893, dw = -0.07158, nw = 1651 120627.0007.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.237, dw = -0.07088, nw = 1651 120627.0007.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.642, dw = -0.07019, nw = 1651 120627.0007.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.078, dw = -0.06952, nw = 1651 120627.0007.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.515, dw = -0.06885, nw = 1651 120627.0007.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.925, dw = -0.0682, nw = 1651 120627.0007.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.281, dw = -0.06756, nw = 1651 120627.0007.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.556, dw = -0.06694, nw = 1651 120627.0007.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.726, dw = -0.06632, nw = 1651 120627.0007.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.765, dw = -0.06572, nw = 1651 120627.0007.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.65, dw = -0.06513, nw = 1651 120627.0007.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.359, dw = -0.06454, nw = 1651 120627.0007.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.869, dw = -0.06397, nw = 1651 120627.0007.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.16, dw = -0.06341, nw = 1651 120627.0007.ec.fits: ap = 62, w1 = 5000.928, w2 = 4897.212, dw = -0.06286, nw = 1651 120627.0007.ec.fits: ap = 63, w1 = 4957.825, w2 = 4855.004, dw = -0.06232, nw = 1651 120627.0007.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.517, dw = -0.06178, nw = 1651 120627.0007.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.734, dw = -0.06126, nw = 1651 120627.0007.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.636, dw = -0.06074, nw = 1651 120627.0007.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.207, dw = -0.06024, nw = 1651 120627.0007.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.429, dw = -0.05974, nw = 1651 120627.0007.ec.fits: ap = 69, w1 = 4714.047, w2 = 4616.287, dw = -0.05925, nw = 1651 120627.0007.ec.fits: ap = 70, w1 = 4675.729, w2 = 4578.766, dw = -0.05877, nw = 1651 120627.0007.ec.fits: ap = 71, w1 = 4638.03, w2 = 4541.849, dw = -0.05829, nw = 1651 120627.0007.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.524, dw = -0.05782, nw = 1651 120627.0007.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.775, dw = -0.05737, nw = 1651 120627.0007.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 120627.0007.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.953, dw = -0.05647, nw = 1651 120627.0007.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.854, dw = -0.05603, nw = 1651 120627.0007.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.28, dw = -0.0556, nw = 1651 120627.0007.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.219, dw = -0.05517, nw = 1651 120627.0007.ec.fits: ap = 79, w1 = 4357.005, w2 = 4266.658, dw = -0.05476, nw = 1651 120627.0007.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.588, dw = -0.05434, nw = 1651 120627.0007.ec.fits: ap = 81, w1 = 4291.993, w2 = 4202.996, dw = -0.05394, nw = 1651 120627.0007.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.872, dw = -0.05354, nw = 1651 120627.0007.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.206, dw = -0.05314, nw = 1651 120627.0007.ec.fits: ap = 84, w1 = 4198.035, w2 = 4110.987, dw = -0.05276, nw = 1651 120627.0007.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.207, dw = -0.05237, nw = 1651 120627.0007.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.855, dw = -0.052, nw = 1651 120627.0007.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.923, dw = -0.05163, nw = 1651 120627.0007.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.401, dw = -0.05126, nw = 1651 120627.0007.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 120627.0007.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 120627.0007.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.213, dw = -0.05019, nw = 1651 120627.0007.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.249, dw = -0.04984, nw = 1651 120627.0007.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.654, dw = -0.0495, nw = 1651 120627.0007.ec.fits: ap = 94, w1 = 3912.546, w2 = 3831.422, dw = -0.04917, nw = 1651 120627.0007.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.543, dw = -0.04883, nw = 1651 120627.0007.ec.fits: ap = 96, w1 = 3860.048, w2 = 3780.013, dw = -0.04851, nw = 1651 120627.0007.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.822, dw = -0.04818, nw = 1651 120627.0007.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.966, dw = -0.04786, nw = 1651 120627.0007.ec.fits: ap = 99, w1 = 3783.893, w2 = 3705.437, dw = -0.04755, nw = 1651 120627.0007.ec.fits: ap = 100, w1 = 3759.172, w2 = 3681.228, dw = -0.04724, nw = 1651 120627.0007.ec.fits: ap = 101, w1 = 3734.772, w2 = 3657.334, dw = -0.04693, nw = 1651 120627.0007.ec.fits: ap = 102, w1 = 3710.687, w2 = 3633.748, dw = -0.04663, nw = 1651 120627.0007.ec.fits: ap = 103, w1 = 3686.911, w2 = 3610.465, dw = -0.04633, nw = 1651 120627.0007.ec.fits: ap = 104, w1 = 3663.438, w2 = 3587.479, dw = -0.04604, nw = 1651 120627.0007.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.783, dw = -0.04574, nw = 1651 120627.0007.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.374, dw = -0.04546, nw = 1651 120627.0007.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.244, dw = -0.04517, nw = 1651 120627.0008.ec.fits: REFSPEC1 = 'ThAr.0004.ec 1.' 120627.0008.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 120627.0008.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 120627.0008.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 120627.0008.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.41, dw = -0.1269, nw = 1651 120627.0008.ec.fits: ap = 5, w1 = 9914.871, w2 = 9709.09, dw = -0.12472, nw = 1651 120627.0008.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.544, dw = -0.1226, nw = 1651 120627.0008.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.483, dw = -0.12056, nw = 1651 120627.0008.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.636, dw = -0.11858, nw = 1651 120627.0008.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.753, dw = -0.11667, nw = 1651 120627.0008.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.596, dw = -0.11481, nw = 1651 120627.0008.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.944, dw = -0.11302, nw = 1651 120627.0008.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.588, dw = -0.11128, nw = 1651 120627.0008.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.335, dw = -0.10959, nw = 1651 120627.0008.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.999, dw = -0.10795, nw = 1651 120627.0008.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.409, dw = -0.10636, nw = 1651 120627.0008.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.401, dw = -0.10482, nw = 1651 120627.0008.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.822, dw = -0.10332, nw = 1651 120627.0008.ec.fits: ap = 18, w1 = 8099.607, w2 = 7931.526, dw = -0.10187, nw = 1651 120627.0008.ec.fits: ap = 19, w1 = 7987.122, w2 = 7821.378, dw = -0.10045, nw = 1651 120627.0008.ec.fits: ap = 20, w1 = 7877.72, w2 = 7714.248, dw = -0.09907, nw = 1651 120627.0008.ec.fits: ap = 21, w1 = 7771.274, w2 = 7610.013, dw = -0.09773, nw = 1651 120627.0008.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.557, dw = -0.09643, nw = 1651 120627.0008.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 120627.0008.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.552, dw = -0.09392, nw = 1651 120627.0008.ec.fits: ap = 25, w1 = 7372.784, w2 = 7219.8, dw = -0.09272, nw = 1651 120627.0008.ec.fits: ap = 26, w1 = 7279.467, w2 = 7128.421, dw = -0.09154, nw = 1651 120627.0008.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.327, dw = -0.0904, nw = 1651 120627.0008.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 120627.0008.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 120627.0008.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.925, dw = -0.08713, nw = 1651 120627.0008.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 120627.0008.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.3, dw = -0.08507, nw = 1651 120627.0008.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.272, dw = -0.08408, nw = 1651 120627.0008.ec.fits: ap = 34, w1 = 6610.157, w2 = 6473.015, dw = -0.08312, nw = 1651 120627.0008.ec.fits: ap = 35, w1 = 6535.05, w2 = 6399.468, dw = -0.08217, nw = 1651 120627.0008.ec.fits: ap = 36, w1 = 6461.631, w2 = 6327.574, dw = -0.08125, nw = 1651 120627.0008.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.278, dw = -0.08034, nw = 1651 120627.0008.ec.fits: ap = 38, w1 = 6319.634, w2 = 6188.526, dw = -0.07946, nw = 1651 120627.0008.ec.fits: ap = 39, w1 = 6250.95, w2 = 6121.269, dw = -0.07859, nw = 1651 120627.0008.ec.fits: ap = 40, w1 = 6183.744, w2 = 6055.459, dw = -0.07775, nw = 1651 120627.0008.ec.fits: ap = 41, w1 = 6117.968, w2 = 5991.049, dw = -0.07692, nw = 1651 120627.0008.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.995, dw = -0.07611, nw = 1651 120627.0008.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.255, dw = -0.07532, nw = 1651 120627.0008.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.788, dw = -0.07454, nw = 1651 120627.0008.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.555, dw = -0.07378, nw = 1651 120627.0008.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.518, dw = -0.07303, nw = 1651 120627.0008.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.642, dw = -0.0723, nw = 1651 120627.0008.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.893, dw = -0.07158, nw = 1651 120627.0008.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.237, dw = -0.07088, nw = 1651 120627.0008.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.642, dw = -0.07019, nw = 1651 120627.0008.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.078, dw = -0.06952, nw = 1651 120627.0008.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.515, dw = -0.06885, nw = 1651 120627.0008.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.925, dw = -0.0682, nw = 1651 120627.0008.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.281, dw = -0.06756, nw = 1651 120627.0008.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.556, dw = -0.06694, nw = 1651 120627.0008.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.726, dw = -0.06632, nw = 1651 120627.0008.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.765, dw = -0.06572, nw = 1651 120627.0008.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.65, dw = -0.06513, nw = 1651 120627.0008.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.359, dw = -0.06454, nw = 1651 120627.0008.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.869, dw = -0.06397, nw = 1651 120627.0008.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.16, dw = -0.06341, nw = 1651 120627.0008.ec.fits: ap = 62, w1 = 5000.928, w2 = 4897.212, dw = -0.06286, nw = 1651 120627.0008.ec.fits: ap = 63, w1 = 4957.825, w2 = 4855.004, dw = -0.06232, nw = 1651 120627.0008.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.517, dw = -0.06178, nw = 1651 120627.0008.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.734, dw = -0.06126, nw = 1651 120627.0008.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.636, dw = -0.06074, nw = 1651 120627.0008.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.207, dw = -0.06024, nw = 1651 120627.0008.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.429, dw = -0.05974, nw = 1651 120627.0008.ec.fits: ap = 69, w1 = 4714.047, w2 = 4616.287, dw = -0.05925, nw = 1651 120627.0008.ec.fits: ap = 70, w1 = 4675.729, w2 = 4578.766, dw = -0.05877, nw = 1651 120627.0008.ec.fits: ap = 71, w1 = 4638.03, w2 = 4541.849, dw = -0.05829, nw = 1651 120627.0008.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.524, dw = -0.05782, nw = 1651 120627.0008.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.775, dw = -0.05737, nw = 1651 120627.0008.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 120627.0008.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.953, dw = -0.05647, nw = 1651 120627.0008.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.854, dw = -0.05603, nw = 1651 120627.0008.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.28, dw = -0.0556, nw = 1651 120627.0008.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.219, dw = -0.05517, nw = 1651 120627.0008.ec.fits: ap = 79, w1 = 4357.005, w2 = 4266.658, dw = -0.05476, nw = 1651 120627.0008.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.588, dw = -0.05434, nw = 1651 120627.0008.ec.fits: ap = 81, w1 = 4291.993, w2 = 4202.996, dw = -0.05394, nw = 1651 120627.0008.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.872, dw = -0.05354, nw = 1651 120627.0008.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.206, dw = -0.05314, nw = 1651 120627.0008.ec.fits: ap = 84, w1 = 4198.035, w2 = 4110.987, dw = -0.05276, nw = 1651 120627.0008.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.207, dw = -0.05237, nw = 1651 120627.0008.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.855, dw = -0.052, nw = 1651 120627.0008.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.923, dw = -0.05163, nw = 1651 120627.0008.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.401, dw = -0.05126, nw = 1651 120627.0008.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 120627.0008.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 120627.0008.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.213, dw = -0.05019, nw = 1651 120627.0008.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.249, dw = -0.04984, nw = 1651 120627.0008.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.654, dw = -0.0495, nw = 1651 120627.0008.ec.fits: ap = 94, w1 = 3912.546, w2 = 3831.422, dw = -0.04917, nw = 1651 120627.0008.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.543, dw = -0.04883, nw = 1651 120627.0008.ec.fits: ap = 96, w1 = 3860.048, w2 = 3780.013, dw = -0.04851, nw = 1651 120627.0008.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.822, dw = -0.04818, nw = 1651 120627.0008.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.966, dw = -0.04786, nw = 1651 120627.0008.ec.fits: ap = 99, w1 = 3783.893, w2 = 3705.437, dw = -0.04755, nw = 1651 120627.0008.ec.fits: ap = 100, w1 = 3759.172, w2 = 3681.228, dw = -0.04724, nw = 1651 120627.0008.ec.fits: ap = 101, w1 = 3734.772, w2 = 3657.334, dw = -0.04693, nw = 1651 120627.0008.ec.fits: ap = 102, w1 = 3710.687, w2 = 3633.748, dw = -0.04663, nw = 1651 120627.0008.ec.fits: ap = 103, w1 = 3686.911, w2 = 3610.465, dw = -0.04633, nw = 1651 120627.0008.ec.fits: ap = 104, w1 = 3663.438, w2 = 3587.479, dw = -0.04604, nw = 1651 120627.0008.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.783, dw = -0.04574, nw = 1651 120627.0008.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.374, dw = -0.04546, nw = 1651 120627.0008.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.244, dw = -0.04517, nw = 1651 120627.0009.ec.fits: REFSPEC1 = 'ThAr.0004.ec 1.' 120627.0009.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 120627.0009.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 120627.0009.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 120627.0009.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.41, dw = -0.1269, nw = 1651 120627.0009.ec.fits: ap = 5, w1 = 9914.871, w2 = 9709.09, dw = -0.12472, nw = 1651 120627.0009.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.544, dw = -0.1226, nw = 1651 120627.0009.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.483, dw = -0.12056, nw = 1651 120627.0009.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.636, dw = -0.11858, nw = 1651 120627.0009.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.753, dw = -0.11667, nw = 1651 120627.0009.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.596, dw = -0.11481, nw = 1651 120627.0009.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.944, dw = -0.11302, nw = 1651 120627.0009.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.588, dw = -0.11128, nw = 1651 120627.0009.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.335, dw = -0.10959, nw = 1651 120627.0009.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.999, dw = -0.10795, nw = 1651 120627.0009.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.409, dw = -0.10636, nw = 1651 120627.0009.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.401, dw = -0.10482, nw = 1651 120627.0009.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.822, dw = -0.10332, nw = 1651 120627.0009.ec.fits: ap = 18, w1 = 8099.607, w2 = 7931.526, dw = -0.10187, nw = 1651 120627.0009.ec.fits: ap = 19, w1 = 7987.122, w2 = 7821.378, dw = -0.10045, nw = 1651 120627.0009.ec.fits: ap = 20, w1 = 7877.72, w2 = 7714.248, dw = -0.09907, nw = 1651 120627.0009.ec.fits: ap = 21, w1 = 7771.274, w2 = 7610.013, dw = -0.09773, nw = 1651 120627.0009.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.557, dw = -0.09643, nw = 1651 120627.0009.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 120627.0009.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.552, dw = -0.09392, nw = 1651 120627.0009.ec.fits: ap = 25, w1 = 7372.784, w2 = 7219.8, dw = -0.09272, nw = 1651 120627.0009.ec.fits: ap = 26, w1 = 7279.467, w2 = 7128.421, dw = -0.09154, nw = 1651 120627.0009.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.327, dw = -0.0904, nw = 1651 120627.0009.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 120627.0009.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 120627.0009.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.925, dw = -0.08713, nw = 1651 120627.0009.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 120627.0009.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.3, dw = -0.08507, nw = 1651 120627.0009.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.272, dw = -0.08408, nw = 1651 120627.0009.ec.fits: ap = 34, w1 = 6610.157, w2 = 6473.015, dw = -0.08312, nw = 1651 120627.0009.ec.fits: ap = 35, w1 = 6535.05, w2 = 6399.468, dw = -0.08217, nw = 1651 120627.0009.ec.fits: ap = 36, w1 = 6461.631, w2 = 6327.574, dw = -0.08125, nw = 1651 120627.0009.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.278, dw = -0.08034, nw = 1651 120627.0009.ec.fits: ap = 38, w1 = 6319.634, w2 = 6188.526, dw = -0.07946, nw = 1651 120627.0009.ec.fits: ap = 39, w1 = 6250.95, w2 = 6121.269, dw = -0.07859, nw = 1651 120627.0009.ec.fits: ap = 40, w1 = 6183.744, w2 = 6055.459, dw = -0.07775, nw = 1651 120627.0009.ec.fits: ap = 41, w1 = 6117.968, w2 = 5991.049, dw = -0.07692, nw = 1651 120627.0009.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.995, dw = -0.07611, nw = 1651 120627.0009.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.255, dw = -0.07532, nw = 1651 120627.0009.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.788, dw = -0.07454, nw = 1651 120627.0009.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.555, dw = -0.07378, nw = 1651 120627.0009.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.518, dw = -0.07303, nw = 1651 120627.0009.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.642, dw = -0.0723, nw = 1651 120627.0009.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.893, dw = -0.07158, nw = 1651 120627.0009.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.237, dw = -0.07088, nw = 1651 120627.0009.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.642, dw = -0.07019, nw = 1651 120627.0009.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.078, dw = -0.06952, nw = 1651 120627.0009.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.515, dw = -0.06885, nw = 1651 120627.0009.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.925, dw = -0.0682, nw = 1651 120627.0009.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.281, dw = -0.06756, nw = 1651 120627.0009.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.556, dw = -0.06694, nw = 1651 120627.0009.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.726, dw = -0.06632, nw = 1651 120627.0009.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.765, dw = -0.06572, nw = 1651 120627.0009.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.65, dw = -0.06513, nw = 1651 120627.0009.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.359, dw = -0.06454, nw = 1651 120627.0009.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.869, dw = -0.06397, nw = 1651 120627.0009.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.16, dw = -0.06341, nw = 1651 120627.0009.ec.fits: ap = 62, w1 = 5000.928, w2 = 4897.212, dw = -0.06286, nw = 1651 120627.0009.ec.fits: ap = 63, w1 = 4957.825, w2 = 4855.004, dw = -0.06232, nw = 1651 120627.0009.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.517, dw = -0.06178, nw = 1651 120627.0009.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.734, dw = -0.06126, nw = 1651 120627.0009.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.636, dw = -0.06074, nw = 1651 120627.0009.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.207, dw = -0.06024, nw = 1651 120627.0009.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.429, dw = -0.05974, nw = 1651 120627.0009.ec.fits: ap = 69, w1 = 4714.047, w2 = 4616.287, dw = -0.05925, nw = 1651 120627.0009.ec.fits: ap = 70, w1 = 4675.729, w2 = 4578.766, dw = -0.05877, nw = 1651 120627.0009.ec.fits: ap = 71, w1 = 4638.03, w2 = 4541.849, dw = -0.05829, nw = 1651 120627.0009.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.524, dw = -0.05782, nw = 1651 120627.0009.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.775, dw = -0.05737, nw = 1651 120627.0009.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 120627.0009.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.953, dw = -0.05647, nw = 1651 120627.0009.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.854, dw = -0.05603, nw = 1651 120627.0009.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.28, dw = -0.0556, nw = 1651 120627.0009.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.219, dw = -0.05517, nw = 1651 120627.0009.ec.fits: ap = 79, w1 = 4357.005, w2 = 4266.658, dw = -0.05476, nw = 1651 120627.0009.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.588, dw = -0.05434, nw = 1651 120627.0009.ec.fits: ap = 81, w1 = 4291.993, w2 = 4202.996, dw = -0.05394, nw = 1651 120627.0009.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.872, dw = -0.05354, nw = 1651 120627.0009.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.206, dw = -0.05314, nw = 1651 120627.0009.ec.fits: ap = 84, w1 = 4198.035, w2 = 4110.987, dw = -0.05276, nw = 1651 120627.0009.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.207, dw = -0.05237, nw = 1651 120627.0009.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.855, dw = -0.052, nw = 1651 120627.0009.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.923, dw = -0.05163, nw = 1651 120627.0009.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.401, dw = -0.05126, nw = 1651 120627.0009.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 120627.0009.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 120627.0009.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.213, dw = -0.05019, nw = 1651 120627.0009.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.249, dw = -0.04984, nw = 1651 120627.0009.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.654, dw = -0.0495, nw = 1651 120627.0009.ec.fits: ap = 94, w1 = 3912.546, w2 = 3831.422, dw = -0.04917, nw = 1651 120627.0009.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.543, dw = -0.04883, nw = 1651 120627.0009.ec.fits: ap = 96, w1 = 3860.048, w2 = 3780.013, dw = -0.04851, nw = 1651 120627.0009.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.822, dw = -0.04818, nw = 1651 120627.0009.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.966, dw = -0.04786, nw = 1651 120627.0009.ec.fits: ap = 99, w1 = 3783.893, w2 = 3705.437, dw = -0.04755, nw = 1651 120627.0009.ec.fits: ap = 100, w1 = 3759.172, w2 = 3681.228, dw = -0.04724, nw = 1651 120627.0009.ec.fits: ap = 101, w1 = 3734.772, w2 = 3657.334, dw = -0.04693, nw = 1651 120627.0009.ec.fits: ap = 102, w1 = 3710.687, w2 = 3633.748, dw = -0.04663, nw = 1651 120627.0009.ec.fits: ap = 103, w1 = 3686.911, w2 = 3610.465, dw = -0.04633, nw = 1651 120627.0009.ec.fits: ap = 104, w1 = 3663.438, w2 = 3587.479, dw = -0.04604, nw = 1651 120627.0009.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.783, dw = -0.04574, nw = 1651 120627.0009.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.374, dw = -0.04546, nw = 1651 120627.0009.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.244, dw = -0.04517, nw = 1651 120627.0010.ec.fits: REFSPEC1 = 'ThAr.0004.ec 1.' 120627.0010.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 120627.0010.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 120627.0010.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 120627.0010.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.41, dw = -0.1269, nw = 1651 120627.0010.ec.fits: ap = 5, w1 = 9914.871, w2 = 9709.09, dw = -0.12472, nw = 1651 120627.0010.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.544, dw = -0.1226, nw = 1651 120627.0010.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.483, dw = -0.12056, nw = 1651 120627.0010.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.636, dw = -0.11858, nw = 1651 120627.0010.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.753, dw = -0.11667, nw = 1651 120627.0010.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.596, dw = -0.11481, nw = 1651 120627.0010.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.944, dw = -0.11302, nw = 1651 120627.0010.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.588, dw = -0.11128, nw = 1651 120627.0010.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.335, dw = -0.10959, nw = 1651 120627.0010.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.999, dw = -0.10795, nw = 1651 120627.0010.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.409, dw = -0.10636, nw = 1651 120627.0010.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.401, dw = -0.10482, nw = 1651 120627.0010.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.822, dw = -0.10332, nw = 1651 120627.0010.ec.fits: ap = 18, w1 = 8099.607, w2 = 7931.526, dw = -0.10187, nw = 1651 120627.0010.ec.fits: ap = 19, w1 = 7987.122, w2 = 7821.378, dw = -0.10045, nw = 1651 120627.0010.ec.fits: ap = 20, w1 = 7877.72, w2 = 7714.248, dw = -0.09907, nw = 1651 120627.0010.ec.fits: ap = 21, w1 = 7771.274, w2 = 7610.013, dw = -0.09773, nw = 1651 120627.0010.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.557, dw = -0.09643, nw = 1651 120627.0010.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 120627.0010.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.552, dw = -0.09392, nw = 1651 120627.0010.ec.fits: ap = 25, w1 = 7372.784, w2 = 7219.8, dw = -0.09272, nw = 1651 120627.0010.ec.fits: ap = 26, w1 = 7279.467, w2 = 7128.421, dw = -0.09154, nw = 1651 120627.0010.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.327, dw = -0.0904, nw = 1651 120627.0010.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 120627.0010.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 120627.0010.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.925, dw = -0.08713, nw = 1651 120627.0010.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 120627.0010.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.3, dw = -0.08507, nw = 1651 120627.0010.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.272, dw = -0.08408, nw = 1651 120627.0010.ec.fits: ap = 34, w1 = 6610.157, w2 = 6473.015, dw = -0.08312, nw = 1651 120627.0010.ec.fits: ap = 35, w1 = 6535.05, w2 = 6399.468, dw = -0.08217, nw = 1651 120627.0010.ec.fits: ap = 36, w1 = 6461.631, w2 = 6327.574, dw = -0.08125, nw = 1651 120627.0010.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.278, dw = -0.08034, nw = 1651 120627.0010.ec.fits: ap = 38, w1 = 6319.634, w2 = 6188.526, dw = -0.07946, nw = 1651 120627.0010.ec.fits: ap = 39, w1 = 6250.95, w2 = 6121.269, dw = -0.07859, nw = 1651 120627.0010.ec.fits: ap = 40, w1 = 6183.744, w2 = 6055.459, dw = -0.07775, nw = 1651 120627.0010.ec.fits: ap = 41, w1 = 6117.968, w2 = 5991.049, dw = -0.07692, nw = 1651 120627.0010.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.995, dw = -0.07611, nw = 1651 120627.0010.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.255, dw = -0.07532, nw = 1651 120627.0010.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.788, dw = -0.07454, nw = 1651 120627.0010.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.555, dw = -0.07378, nw = 1651 120627.0010.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.518, dw = -0.07303, nw = 1651 120627.0010.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.642, dw = -0.0723, nw = 1651 120627.0010.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.893, dw = -0.07158, nw = 1651 120627.0010.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.237, dw = -0.07088, nw = 1651 120627.0010.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.642, dw = -0.07019, nw = 1651 120627.0010.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.078, dw = -0.06952, nw = 1651 120627.0010.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.515, dw = -0.06885, nw = 1651 120627.0010.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.925, dw = -0.0682, nw = 1651 120627.0010.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.281, dw = -0.06756, nw = 1651 120627.0010.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.556, dw = -0.06694, nw = 1651 120627.0010.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.726, dw = -0.06632, nw = 1651 120627.0010.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.765, dw = -0.06572, nw = 1651 120627.0010.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.65, dw = -0.06513, nw = 1651 120627.0010.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.359, dw = -0.06454, nw = 1651 120627.0010.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.869, dw = -0.06397, nw = 1651 120627.0010.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.16, dw = -0.06341, nw = 1651 120627.0010.ec.fits: ap = 62, w1 = 5000.928, w2 = 4897.212, dw = -0.06286, nw = 1651 120627.0010.ec.fits: ap = 63, w1 = 4957.825, w2 = 4855.004, dw = -0.06232, nw = 1651 120627.0010.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.517, dw = -0.06178, nw = 1651 120627.0010.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.734, dw = -0.06126, nw = 1651 120627.0010.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.636, dw = -0.06074, nw = 1651 120627.0010.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.207, dw = -0.06024, nw = 1651 120627.0010.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.429, dw = -0.05974, nw = 1651 120627.0010.ec.fits: ap = 69, w1 = 4714.047, w2 = 4616.287, dw = -0.05925, nw = 1651 120627.0010.ec.fits: ap = 70, w1 = 4675.729, w2 = 4578.766, dw = -0.05877, nw = 1651 120627.0010.ec.fits: ap = 71, w1 = 4638.03, w2 = 4541.849, dw = -0.05829, nw = 1651 120627.0010.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.524, dw = -0.05782, nw = 1651 120627.0010.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.775, dw = -0.05737, nw = 1651 120627.0010.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 120627.0010.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.953, dw = -0.05647, nw = 1651 120627.0010.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.854, dw = -0.05603, nw = 1651 120627.0010.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.28, dw = -0.0556, nw = 1651 120627.0010.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.219, dw = -0.05517, nw = 1651 120627.0010.ec.fits: ap = 79, w1 = 4357.005, w2 = 4266.658, dw = -0.05476, nw = 1651 120627.0010.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.588, dw = -0.05434, nw = 1651 120627.0010.ec.fits: ap = 81, w1 = 4291.993, w2 = 4202.996, dw = -0.05394, nw = 1651 120627.0010.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.872, dw = -0.05354, nw = 1651 120627.0010.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.206, dw = -0.05314, nw = 1651 120627.0010.ec.fits: ap = 84, w1 = 4198.035, w2 = 4110.987, dw = -0.05276, nw = 1651 120627.0010.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.207, dw = -0.05237, nw = 1651 120627.0010.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.855, dw = -0.052, nw = 1651 120627.0010.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.923, dw = -0.05163, nw = 1651 120627.0010.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.401, dw = -0.05126, nw = 1651 120627.0010.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 120627.0010.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 120627.0010.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.213, dw = -0.05019, nw = 1651 120627.0010.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.249, dw = -0.04984, nw = 1651 120627.0010.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.654, dw = -0.0495, nw = 1651 120627.0010.ec.fits: ap = 94, w1 = 3912.546, w2 = 3831.422, dw = -0.04917, nw = 1651 120627.0010.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.543, dw = -0.04883, nw = 1651 120627.0010.ec.fits: ap = 96, w1 = 3860.048, w2 = 3780.013, dw = -0.04851, nw = 1651 120627.0010.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.822, dw = -0.04818, nw = 1651 120627.0010.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.966, dw = -0.04786, nw = 1651 120627.0010.ec.fits: ap = 99, w1 = 3783.893, w2 = 3705.437, dw = -0.04755, nw = 1651 120627.0010.ec.fits: ap = 100, w1 = 3759.172, w2 = 3681.228, dw = -0.04724, nw = 1651 120627.0010.ec.fits: ap = 101, w1 = 3734.772, w2 = 3657.334, dw = -0.04693, nw = 1651 120627.0010.ec.fits: ap = 102, w1 = 3710.687, w2 = 3633.748, dw = -0.04663, nw = 1651 120627.0010.ec.fits: ap = 103, w1 = 3686.911, w2 = 3610.465, dw = -0.04633, nw = 1651 120627.0010.ec.fits: ap = 104, w1 = 3663.438, w2 = 3587.479, dw = -0.04604, nw = 1651 120627.0010.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.783, dw = -0.04574, nw = 1651 120627.0010.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.374, dw = -0.04546, nw = 1651 120627.0010.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.244, dw = -0.04517, nw = 1651 120627.0011.ec.fits: REFSPEC1 = 'ThAr.0004.ec 1.' 120627.0011.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 120627.0011.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 120627.0011.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 120627.0011.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.41, dw = -0.1269, nw = 1651 120627.0011.ec.fits: ap = 5, w1 = 9914.871, w2 = 9709.09, dw = -0.12472, nw = 1651 120627.0011.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.544, dw = -0.1226, nw = 1651 120627.0011.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.483, dw = -0.12056, nw = 1651 120627.0011.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.636, dw = -0.11858, nw = 1651 120627.0011.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.753, dw = -0.11667, nw = 1651 120627.0011.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.596, dw = -0.11481, nw = 1651 120627.0011.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.944, dw = -0.11302, nw = 1651 120627.0011.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.588, dw = -0.11128, nw = 1651 120627.0011.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.335, dw = -0.10959, nw = 1651 120627.0011.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.999, dw = -0.10795, nw = 1651 120627.0011.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.409, dw = -0.10636, nw = 1651 120627.0011.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.401, dw = -0.10482, nw = 1651 120627.0011.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.822, dw = -0.10332, nw = 1651 120627.0011.ec.fits: ap = 18, w1 = 8099.607, w2 = 7931.526, dw = -0.10187, nw = 1651 120627.0011.ec.fits: ap = 19, w1 = 7987.122, w2 = 7821.378, dw = -0.10045, nw = 1651 120627.0011.ec.fits: ap = 20, w1 = 7877.72, w2 = 7714.248, dw = -0.09907, nw = 1651 120627.0011.ec.fits: ap = 21, w1 = 7771.274, w2 = 7610.013, dw = -0.09773, nw = 1651 120627.0011.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.557, dw = -0.09643, nw = 1651 120627.0011.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 120627.0011.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.552, dw = -0.09392, nw = 1651 120627.0011.ec.fits: ap = 25, w1 = 7372.784, w2 = 7219.8, dw = -0.09272, nw = 1651 120627.0011.ec.fits: ap = 26, w1 = 7279.467, w2 = 7128.421, dw = -0.09154, nw = 1651 120627.0011.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.327, dw = -0.0904, nw = 1651 120627.0011.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 120627.0011.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 120627.0011.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.925, dw = -0.08713, nw = 1651 120627.0011.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 120627.0011.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.3, dw = -0.08507, nw = 1651 120627.0011.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.272, dw = -0.08408, nw = 1651 120627.0011.ec.fits: ap = 34, w1 = 6610.157, w2 = 6473.015, dw = -0.08312, nw = 1651 120627.0011.ec.fits: ap = 35, w1 = 6535.05, w2 = 6399.468, dw = -0.08217, nw = 1651 120627.0011.ec.fits: ap = 36, w1 = 6461.631, w2 = 6327.574, dw = -0.08125, nw = 1651 120627.0011.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.278, dw = -0.08034, nw = 1651 120627.0011.ec.fits: ap = 38, w1 = 6319.634, w2 = 6188.526, dw = -0.07946, nw = 1651 120627.0011.ec.fits: ap = 39, w1 = 6250.95, w2 = 6121.269, dw = -0.07859, nw = 1651 120627.0011.ec.fits: ap = 40, w1 = 6183.744, w2 = 6055.459, dw = -0.07775, nw = 1651 120627.0011.ec.fits: ap = 41, w1 = 6117.968, w2 = 5991.049, dw = -0.07692, nw = 1651 120627.0011.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.995, dw = -0.07611, nw = 1651 120627.0011.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.255, dw = -0.07532, nw = 1651 120627.0011.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.788, dw = -0.07454, nw = 1651 120627.0011.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.555, dw = -0.07378, nw = 1651 120627.0011.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.518, dw = -0.07303, nw = 1651 120627.0011.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.642, dw = -0.0723, nw = 1651 120627.0011.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.893, dw = -0.07158, nw = 1651 120627.0011.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.237, dw = -0.07088, nw = 1651 120627.0011.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.642, dw = -0.07019, nw = 1651 120627.0011.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.078, dw = -0.06952, nw = 1651 120627.0011.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.515, dw = -0.06885, nw = 1651 120627.0011.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.925, dw = -0.0682, nw = 1651 120627.0011.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.281, dw = -0.06756, nw = 1651 120627.0011.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.556, dw = -0.06694, nw = 1651 120627.0011.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.726, dw = -0.06632, nw = 1651 120627.0011.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.765, dw = -0.06572, nw = 1651 120627.0011.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.65, dw = -0.06513, nw = 1651 120627.0011.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.359, dw = -0.06454, nw = 1651 120627.0011.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.869, dw = -0.06397, nw = 1651 120627.0011.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.16, dw = -0.06341, nw = 1651 120627.0011.ec.fits: ap = 62, w1 = 5000.928, w2 = 4897.212, dw = -0.06286, nw = 1651 120627.0011.ec.fits: ap = 63, w1 = 4957.825, w2 = 4855.004, dw = -0.06232, nw = 1651 120627.0011.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.517, dw = -0.06178, nw = 1651 120627.0011.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.734, dw = -0.06126, nw = 1651 120627.0011.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.636, dw = -0.06074, nw = 1651 120627.0011.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.207, dw = -0.06024, nw = 1651 120627.0011.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.429, dw = -0.05974, nw = 1651 120627.0011.ec.fits: ap = 69, w1 = 4714.047, w2 = 4616.287, dw = -0.05925, nw = 1651 120627.0011.ec.fits: ap = 70, w1 = 4675.729, w2 = 4578.766, dw = -0.05877, nw = 1651 120627.0011.ec.fits: ap = 71, w1 = 4638.03, w2 = 4541.849, dw = -0.05829, nw = 1651 120627.0011.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.524, dw = -0.05782, nw = 1651 120627.0011.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.775, dw = -0.05737, nw = 1651 120627.0011.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 120627.0011.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.953, dw = -0.05647, nw = 1651 120627.0011.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.854, dw = -0.05603, nw = 1651 120627.0011.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.28, dw = -0.0556, nw = 1651 120627.0011.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.219, dw = -0.05517, nw = 1651 120627.0011.ec.fits: ap = 79, w1 = 4357.005, w2 = 4266.658, dw = -0.05476, nw = 1651 120627.0011.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.588, dw = -0.05434, nw = 1651 120627.0011.ec.fits: ap = 81, w1 = 4291.993, w2 = 4202.996, dw = -0.05394, nw = 1651 120627.0011.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.872, dw = -0.05354, nw = 1651 120627.0011.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.206, dw = -0.05314, nw = 1651 120627.0011.ec.fits: ap = 84, w1 = 4198.035, w2 = 4110.987, dw = -0.05276, nw = 1651 120627.0011.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.207, dw = -0.05237, nw = 1651 120627.0011.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.855, dw = -0.052, nw = 1651 120627.0011.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.923, dw = -0.05163, nw = 1651 120627.0011.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.401, dw = -0.05126, nw = 1651 120627.0011.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 120627.0011.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 120627.0011.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.213, dw = -0.05019, nw = 1651 120627.0011.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.249, dw = -0.04984, nw = 1651 120627.0011.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.654, dw = -0.0495, nw = 1651 120627.0011.ec.fits: ap = 94, w1 = 3912.546, w2 = 3831.422, dw = -0.04917, nw = 1651 120627.0011.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.543, dw = -0.04883, nw = 1651 120627.0011.ec.fits: ap = 96, w1 = 3860.048, w2 = 3780.013, dw = -0.04851, nw = 1651 120627.0011.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.822, dw = -0.04818, nw = 1651 120627.0011.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.966, dw = -0.04786, nw = 1651 120627.0011.ec.fits: ap = 99, w1 = 3783.893, w2 = 3705.437, dw = -0.04755, nw = 1651 120627.0011.ec.fits: ap = 100, w1 = 3759.172, w2 = 3681.228, dw = -0.04724, nw = 1651 120627.0011.ec.fits: ap = 101, w1 = 3734.772, w2 = 3657.334, dw = -0.04693, nw = 1651 120627.0011.ec.fits: ap = 102, w1 = 3710.687, w2 = 3633.748, dw = -0.04663, nw = 1651 120627.0011.ec.fits: ap = 103, w1 = 3686.911, w2 = 3610.465, dw = -0.04633, nw = 1651 120627.0011.ec.fits: ap = 104, w1 = 3663.438, w2 = 3587.479, dw = -0.04604, nw = 1651 120627.0011.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.783, dw = -0.04574, nw = 1651 120627.0011.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.374, dw = -0.04546, nw = 1651 120627.0011.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.244, dw = -0.04517, nw = 1651 ThAr.0001.ec.fits: REFSPEC1 = 'ThAr.0001.ec 1.' zThAr.0001.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.19, dw = -0.13398, nw = 1651 zThAr.0001.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.6, dw = -0.13154, nw = 1651 zThAr.0001.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.79, dw = -0.12919, nw = 1651 zThAr.0001.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.389, dw = -0.12692, nw = 1651 zThAr.0001.ec.fits: ap = 5, w1 = 9914.87, w2 = 9709.071, dw = -0.12473, nw = 1651 zThAr.0001.ec.fits: ap = 6, w1 = 9746.834, w2 = 9544.526, dw = -0.12261, nw = 1651 zThAr.0001.ec.fits: ap = 7, w1 = 9584.399, w2 = 9385.466, dw = -0.12057, nw = 1651 zThAr.0001.ec.fits: ap = 8, w1 = 9427.289, w2 = 9231.621, dw = -0.11859, nw = 1651 zThAr.0001.ec.fits: ap = 9, w1 = 9275.248, w2 = 9082.738, dw = -0.11667, nw = 1651 zThAr.0001.ec.fits: ap = 10, w1 = 9128.033, w2 = 8938.582, dw = -0.11482, nw = 1651 zThAr.0001.ec.fits: ap = 11, w1 = 8985.419, w2 = 8798.931, dw = -0.11302, nw = 1651 zThAr.0001.ec.fits: ap = 12, w1 = 8847.193, w2 = 8663.576, dw = -0.11128, nw = 1651 zThAr.0001.ec.fits: ap = 13, w1 = 8713.156, w2 = 8532.323, dw = -0.1096, nw = 1651 zThAr.0001.ec.fits: ap = 14, w1 = 8583.119, w2 = 8404.989, dw = -0.10796, nw = 1651 zThAr.0001.ec.fits: ap = 15, w1 = 8456.907, w2 = 8281.399, dw = -0.10637, nw = 1651 zThAr.0001.ec.fits: ap = 16, w1 = 8334.354, w2 = 8161.391, dw = -0.10483, nw = 1651 zThAr.0001.ec.fits: ap = 17, w1 = 8215.302, w2 = 8044.812, dw = -0.10333, nw = 1651 zThAr.0001.ec.fits: ap = 18, w1 = 8099.604, w2 = 7931.518, dw = -0.10187, nw = 1651 zThAr.0001.ec.fits: ap = 19, w1 = 7987.119, w2 = 7821.37, dw = -0.10045, nw = 1651 zThAr.0001.ec.fits: ap = 20, w1 = 7877.716, w2 = 7714.24, dw = -0.09908, nw = 1651 zThAr.0001.ec.fits: ap = 21, w1 = 7771.27, w2 = 7610.005, dw = -0.09774, nw = 1651 zThAr.0001.ec.fits: ap = 22, w1 = 7667.663, w2 = 7508.55, dw = -0.09643, nw = 1651 zThAr.0001.ec.fits: ap = 23, w1 = 7566.782, w2 = 7409.764, dw = -0.09516, nw = 1651 zThAr.0001.ec.fits: ap = 24, w1 = 7468.522, w2 = 7313.545, dw = -0.09393, nw = 1651 zThAr.0001.ec.fits: ap = 25, w1 = 7372.781, w2 = 7219.793, dw = -0.09272, nw = 1651 zThAr.0001.ec.fits: ap = 26, w1 = 7279.463, w2 = 7128.414, dw = -0.09155, nw = 1651 zThAr.0001.ec.fits: ap = 27, w1 = 7188.479, w2 = 7039.319, dw = -0.0904, nw = 1651 zThAr.0001.ec.fits: ap = 28, w1 = 7099.742, w2 = 6952.425, dw = -0.08928, nw = 1651 zThAr.0001.ec.fits: ap = 29, w1 = 7013.168, w2 = 6867.65, dw = -0.08819, nw = 1651 zThAr.0001.ec.fits: ap = 30, w1 = 6928.681, w2 = 6784.917, dw = -0.08713, nw = 1651 zThAr.0001.ec.fits: ap = 31, w1 = 6846.206, w2 = 6704.155, dw = -0.08609, nw = 1651 zThAr.0001.ec.fits: ap = 32, w1 = 6765.671, w2 = 6625.293, dw = -0.08508, nw = 1651 zThAr.0001.ec.fits: ap = 33, w1 = 6687.009, w2 = 6548.265, dw = -0.08409, nw = 1651 zThAr.0001.ec.fits: ap = 34, w1 = 6610.155, w2 = 6473.007, dw = -0.08312, nw = 1651 zThAr.0001.ec.fits: ap = 35, w1 = 6535.048, w2 = 6399.461, dw = -0.08217, nw = 1651 zThAr.0001.ec.fits: ap = 36, w1 = 6461.629, w2 = 6327.566, dw = -0.08125, nw = 1651 zThAr.0001.ec.fits: ap = 37, w1 = 6389.842, w2 = 6257.27, dw = -0.08035, nw = 1651 zThAr.0001.ec.fits: ap = 38, w1 = 6319.632, w2 = 6188.519, dw = -0.07946, nw = 1651 zThAr.0001.ec.fits: ap = 39, w1 = 6250.949, w2 = 6121.262, dw = -0.0786, nw = 1651 zThAr.0001.ec.fits: ap = 40, w1 = 6183.743, w2 = 6055.452, dw = -0.07775, nw = 1651 zThAr.0001.ec.fits: ap = 41, w1 = 6117.967, w2 = 5991.041, dw = -0.07692, nw = 1651 zThAr.0001.ec.fits: ap = 42, w1 = 6053.575, w2 = 5927.987, dw = -0.07611, nw = 1651 zThAr.0001.ec.fits: ap = 43, w1 = 5990.525, w2 = 5866.247, dw = -0.07532, nw = 1651 zThAr.0001.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.78, dw = -0.07454, nw = 1651 zThAr.0001.ec.fits: ap = 45, w1 = 5868.286, w2 = 5746.547, dw = -0.07378, nw = 1651 zThAr.0001.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.51, dw = -0.07304, nw = 1651 zThAr.0001.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.635, dw = -0.0723, nw = 1651 zThAr.0001.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.885, dw = -0.07159, nw = 1651 zThAr.0001.ec.fits: ap = 49, w1 = 5638.189, w2 = 5521.229, dw = -0.07088, nw = 1651 zThAr.0001.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.634, dw = -0.0702, nw = 1651 zThAr.0001.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.07, dw = -0.06952, nw = 1651 zThAr.0001.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.508, dw = -0.06886, nw = 1651 zThAr.0001.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.918, dw = -0.06821, nw = 1651 zThAr.0001.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.274, dw = -0.06757, nw = 1651 zThAr.0001.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.549, dw = -0.06694, nw = 1651 zThAr.0001.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.719, dw = -0.06633, nw = 1651 zThAr.0001.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.758, dw = -0.06572, nw = 1651 zThAr.0001.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.643, dw = -0.06513, nw = 1651 zThAr.0001.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.353, dw = -0.06455, nw = 1651 zThAr.0001.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.863, dw = -0.06398, nw = 1651 zThAr.0001.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.155, dw = -0.06341, nw = 1651 zThAr.0001.ec.fits: ap = 62, w1 = 5000.929, w2 = 4897.206, dw = -0.06286, nw = 1651 zThAr.0001.ec.fits: ap = 63, w1 = 4957.825, w2 = 4854.999, dw = -0.06232, nw = 1651 zThAr.0001.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.512, dw = -0.06179, nw = 1651 zThAr.0001.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.729, dw = -0.06126, nw = 1651 zThAr.0001.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.632, dw = -0.06075, nw = 1651 zThAr.0001.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.203, dw = -0.06024, nw = 1651 zThAr.0001.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.426, dw = -0.05974, nw = 1651 zThAr.0001.ec.fits: ap = 69, w1 = 4714.046, w2 = 4616.285, dw = -0.05925, nw = 1651 zThAr.0001.ec.fits: ap = 70, w1 = 4675.729, w2 = 4578.764, dw = -0.05877, nw = 1651 zThAr.0001.ec.fits: ap = 71, w1 = 4638.03, w2 = 4541.848, dw = -0.05829, nw = 1651 zThAr.0001.ec.fits: ap = 72, w1 = 4600.934, w2 = 4505.523, dw = -0.05782, nw = 1651 zThAr.0001.ec.fits: ap = 73, w1 = 4564.427, w2 = 4469.775, dw = -0.05736, nw = 1651 zThAr.0001.ec.fits: ap = 74, w1 = 4528.495, w2 = 4434.59, dw = -0.05691, nw = 1651 zThAr.0001.ec.fits: ap = 75, w1 = 4493.125, w2 = 4399.955, dw = -0.05647, nw = 1651 zThAr.0001.ec.fits: ap = 76, w1 = 4458.303, w2 = 4365.856, dw = -0.05603, nw = 1651 zThAr.0001.ec.fits: ap = 77, w1 = 4424.017, w2 = 4332.283, dw = -0.0556, nw = 1651 zThAr.0001.ec.fits: ap = 78, w1 = 4390.254, w2 = 4299.222, dw = -0.05517, nw = 1651 zThAr.0001.ec.fits: ap = 79, w1 = 4357.003, w2 = 4266.663, dw = -0.05475, nw = 1651 zThAr.0001.ec.fits: ap = 80, w1 = 4324.253, w2 = 4234.593, dw = -0.05434, nw = 1651 zThAr.0001.ec.fits: ap = 81, w1 = 4291.991, w2 = 4203.002, dw = -0.05393, nw = 1651 zThAr.0001.ec.fits: ap = 82, w1 = 4260.207, w2 = 4171.879, dw = -0.05353, nw = 1651 zThAr.0001.ec.fits: ap = 83, w1 = 4228.891, w2 = 4141.214, dw = -0.05314, nw = 1651 zThAr.0001.ec.fits: ap = 84, w1 = 4198.032, w2 = 4110.996, dw = -0.05275, nw = 1651 zThAr.0001.ec.fits: ap = 85, w1 = 4167.62, w2 = 4081.217, dw = -0.05237, nw = 1651 zThAr.0001.ec.fits: ap = 86, w1 = 4137.646, w2 = 4051.867, dw = -0.05199, nw = 1651 zThAr.0001.ec.fits: ap = 87, w1 = 4108.1, w2 = 4022.935, dw = -0.05162, nw = 1651 zThAr.0001.ec.fits: ap = 88, w1 = 4078.974, w2 = 3994.415, dw = -0.05125, nw = 1651 zThAr.0001.ec.fits: ap = 89, w1 = 4050.258, w2 = 3966.296, dw = -0.05089, nw = 1651 zThAr.0001.ec.fits: ap = 90, w1 = 4021.943, w2 = 3938.571, dw = -0.05053, nw = 1651 zThAr.0001.ec.fits: ap = 91, w1 = 3994.022, w2 = 3911.231, dw = -0.05018, nw = 1651 zThAr.0001.ec.fits: ap = 92, w1 = 3966.487, w2 = 3884.268, dw = -0.04983, nw = 1651 zThAr.0001.ec.fits: ap = 93, w1 = 3939.328, w2 = 3857.674, dw = -0.04949, nw = 1651 zThAr.0001.ec.fits: ap = 94, w1 = 3912.539, w2 = 3831.443, dw = -0.04915, nw = 1651 zThAr.0001.ec.fits: ap = 95, w1 = 3886.113, w2 = 3805.566, dw = -0.04882, nw = 1651 zThAr.0001.ec.fits: ap = 96, w1 = 3860.041, w2 = 3780.037, dw = -0.04849, nw = 1651 zThAr.0001.ec.fits: ap = 97, w1 = 3834.317, w2 = 3754.848, dw = -0.04816, nw = 1651 zThAr.0001.ec.fits: ap = 98, w1 = 3808.933, w2 = 3729.993, dw = -0.04784, nw = 1651 zThAr.0001.ec.fits: ap = 99, w1 = 3783.884, w2 = 3705.466, dw = -0.04753, nw = 1651 zThAr.0001.ec.fits: ap = 100, w1 = 3759.162, w2 = 3681.259, dw = -0.04721, nw = 1651 zThAr.0001.ec.fits: ap = 101, w1 = 3734.762, w2 = 3657.366, dw = -0.04691, nw = 1651 zThAr.0001.ec.fits: ap = 102, w1 = 3710.677, w2 = 3633.782, dw = -0.0466, nw = 1651 zThAr.0001.ec.fits: ap = 103, w1 = 3686.9, w2 = 3610.501, dw = -0.0463, nw = 1651 zThAr.0001.ec.fits: ap = 104, w1 = 3663.426, w2 = 3587.516, dw = -0.04601, nw = 1651 zThAr.0001.ec.fits: ap = 105, w1 = 3640.25, w2 = 3564.823, dw = -0.04571, nw = 1651 zThAr.0001.ec.fits: ap = 106, w1 = 3617.365, w2 = 3542.415, dw = -0.04542, nw = 1651 zThAr.0001.ec.fits: ap = 107, w1 = 3594.767, w2 = 3520.287, dw = -0.04514, nw = 1651 ThAr.0002.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' zThAr.0002.ec.fits: ap = 1, w1 = 10649.26, w2 = 10428.19, dw = -0.13398, nw = 1651 zThAr.0002.ec.fits: ap = 2, w1 = 10455.65, w2 = 10238.61, dw = -0.13154, nw = 1651 zThAr.0002.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.79, dw = -0.12919, nw = 1651 zThAr.0002.ec.fits: ap = 4, w1 = 10088.81, w2 = 9879.392, dw = -0.12692, nw = 1651 zThAr.0002.ec.fits: ap = 5, w1 = 9914.878, w2 = 9709.074, dw = -0.12473, nw = 1651 zThAr.0002.ec.fits: ap = 6, w1 = 9746.841, w2 = 9544.529, dw = -0.12261, nw = 1651 zThAr.0002.ec.fits: ap = 7, w1 = 9584.406, w2 = 9385.469, dw = -0.12057, nw = 1651 zThAr.0002.ec.fits: ap = 8, w1 = 9427.296, w2 = 9231.624, dw = -0.11859, nw = 1651 zThAr.0002.ec.fits: ap = 9, w1 = 9275.254, w2 = 9082.742, dw = -0.11667, nw = 1651 zThAr.0002.ec.fits: ap = 10, w1 = 9128.039, w2 = 8938.586, dw = -0.11482, nw = 1651 zThAr.0002.ec.fits: ap = 11, w1 = 8985.425, w2 = 8798.935, dw = -0.11302, nw = 1651 zThAr.0002.ec.fits: ap = 12, w1 = 8847.198, w2 = 8663.581, dw = -0.11128, nw = 1651 zThAr.0002.ec.fits: ap = 13, w1 = 8713.16, w2 = 8532.328, dw = -0.1096, nw = 1651 zThAr.0002.ec.fits: ap = 14, w1 = 8583.123, w2 = 8404.993, dw = -0.10796, nw = 1651 zThAr.0002.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.404, dw = -0.10637, nw = 1651 zThAr.0002.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.396, dw = -0.10482, nw = 1651 zThAr.0002.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.818, dw = -0.10333, nw = 1651 zThAr.0002.ec.fits: ap = 18, w1 = 8099.606, w2 = 7931.523, dw = -0.10187, nw = 1651 zThAr.0002.ec.fits: ap = 19, w1 = 7987.121, w2 = 7821.375, dw = -0.10045, nw = 1651 zThAr.0002.ec.fits: ap = 20, w1 = 7877.718, w2 = 7714.245, dw = -0.09907, nw = 1651 zThAr.0002.ec.fits: ap = 21, w1 = 7771.271, w2 = 7610.011, dw = -0.09773, nw = 1651 zThAr.0002.ec.fits: ap = 22, w1 = 7667.664, w2 = 7508.556, dw = -0.09643, nw = 1651 zThAr.0002.ec.fits: ap = 23, w1 = 7566.782, w2 = 7409.771, dw = -0.09516, nw = 1651 zThAr.0002.ec.fits: ap = 24, w1 = 7468.521, w2 = 7313.551, dw = -0.09392, nw = 1651 zThAr.0002.ec.fits: ap = 25, w1 = 7372.78, w2 = 7219.799, dw = -0.09272, nw = 1651 zThAr.0002.ec.fits: ap = 26, w1 = 7279.462, w2 = 7128.42, dw = -0.09154, nw = 1651 zThAr.0002.ec.fits: ap = 27, w1 = 7188.478, w2 = 7039.326, dw = -0.09039, nw = 1651 zThAr.0002.ec.fits: ap = 28, w1 = 7099.74, w2 = 6952.432, dw = -0.08928, nw = 1651 zThAr.0002.ec.fits: ap = 29, w1 = 7013.166, w2 = 6867.657, dw = -0.08819, nw = 1651 zThAr.0002.ec.fits: ap = 30, w1 = 6928.678, w2 = 6784.925, dw = -0.08712, nw = 1651 zThAr.0002.ec.fits: ap = 31, w1 = 6846.202, w2 = 6704.162, dw = -0.08608, nw = 1651 zThAr.0002.ec.fits: ap = 32, w1 = 6765.667, w2 = 6625.3, dw = -0.08507, nw = 1651 zThAr.0002.ec.fits: ap = 33, w1 = 6687.005, w2 = 6548.272, dw = -0.08408, nw = 1651 zThAr.0002.ec.fits: ap = 34, w1 = 6610.151, w2 = 6473.015, dw = -0.08311, nw = 1651 zThAr.0002.ec.fits: ap = 35, w1 = 6535.044, w2 = 6399.468, dw = -0.08217, nw = 1651 zThAr.0002.ec.fits: ap = 36, w1 = 6461.624, w2 = 6327.574, dw = -0.08124, nw = 1651 zThAr.0002.ec.fits: ap = 37, w1 = 6389.836, w2 = 6257.278, dw = -0.08034, nw = 1651 zThAr.0002.ec.fits: ap = 38, w1 = 6319.627, w2 = 6188.526, dw = -0.07945, nw = 1651 zThAr.0002.ec.fits: ap = 39, w1 = 6250.943, w2 = 6121.269, dw = -0.07859, nw = 1651 zThAr.0002.ec.fits: ap = 40, w1 = 6183.736, w2 = 6055.459, dw = -0.07774, nw = 1651 zThAr.0002.ec.fits: ap = 41, w1 = 6117.96, w2 = 5991.049, dw = -0.07692, nw = 1651 zThAr.0002.ec.fits: ap = 42, w1 = 6053.568, w2 = 5927.995, dw = -0.0761, nw = 1651 zThAr.0002.ec.fits: ap = 43, w1 = 5990.518, w2 = 5866.255, dw = -0.07531, nw = 1651 zThAr.0002.ec.fits: ap = 44, w1 = 5928.768, w2 = 5805.787, dw = -0.07453, nw = 1651 zThAr.0002.ec.fits: ap = 45, w1 = 5868.278, w2 = 5746.554, dw = -0.07377, nw = 1651 zThAr.0002.ec.fits: ap = 46, w1 = 5809.011, w2 = 5688.518, dw = -0.07303, nw = 1651 zThAr.0002.ec.fits: ap = 47, w1 = 5750.928, w2 = 5631.642, dw = -0.07229, nw = 1651 zThAr.0002.ec.fits: ap = 48, w1 = 5693.996, w2 = 5575.892, dw = -0.07158, nw = 1651 zThAr.0002.ec.fits: ap = 49, w1 = 5638.181, w2 = 5521.236, dw = -0.07088, nw = 1651 zThAr.0002.ec.fits: ap = 50, w1 = 5583.449, w2 = 5467.641, dw = -0.07019, nw = 1651 zThAr.0002.ec.fits: ap = 51, w1 = 5529.77, w2 = 5415.077, dw = -0.06951, nw = 1651 zThAr.0002.ec.fits: ap = 52, w1 = 5477.113, w2 = 5363.514, dw = -0.06885, nw = 1651 zThAr.0002.ec.fits: ap = 53, w1 = 5425.45, w2 = 5312.924, dw = -0.0682, nw = 1651 zThAr.0002.ec.fits: ap = 54, w1 = 5374.753, w2 = 5263.28, dw = -0.06756, nw = 1651 zThAr.0002.ec.fits: ap = 55, w1 = 5324.995, w2 = 5214.555, dw = -0.06693, nw = 1651 zThAr.0002.ec.fits: ap = 56, w1 = 5276.149, w2 = 5166.725, dw = -0.06632, nw = 1651 zThAr.0002.ec.fits: ap = 57, w1 = 5228.192, w2 = 5119.764, dw = -0.06571, nw = 1651 zThAr.0002.ec.fits: ap = 58, w1 = 5181.1, w2 = 5073.649, dw = -0.06512, nw = 1651 zThAr.0002.ec.fits: ap = 59, w1 = 5134.848, w2 = 5028.357, dw = -0.06454, nw = 1651 zThAr.0002.ec.fits: ap = 60, w1 = 5089.415, w2 = 4983.868, dw = -0.06397, nw = 1651 zThAr.0002.ec.fits: ap = 61, w1 = 5044.779, w2 = 4940.159, dw = -0.06341, nw = 1651 zThAr.0002.ec.fits: ap = 62, w1 = 5000.919, w2 = 4897.21, dw = -0.06285, nw = 1651 zThAr.0002.ec.fits: ap = 63, w1 = 4957.816, w2 = 4855.002, dw = -0.06231, nw = 1651 zThAr.0002.ec.fits: ap = 64, w1 = 4915.45, w2 = 4813.516, dw = -0.06178, nw = 1651 zThAr.0002.ec.fits: ap = 65, w1 = 4873.802, w2 = 4772.732, dw = -0.06125, nw = 1651 zThAr.0002.ec.fits: ap = 66, w1 = 4832.854, w2 = 4732.635, dw = -0.06074, nw = 1651 zThAr.0002.ec.fits: ap = 67, w1 = 4792.588, w2 = 4693.205, dw = -0.06023, nw = 1651 zThAr.0002.ec.fits: ap = 68, w1 = 4752.988, w2 = 4654.428, dw = -0.05973, nw = 1651 zThAr.0002.ec.fits: ap = 69, w1 = 4714.038, w2 = 4616.286, dw = -0.05924, nw = 1651 zThAr.0002.ec.fits: ap = 70, w1 = 4675.721, w2 = 4578.765, dw = -0.05876, nw = 1651 zThAr.0002.ec.fits: ap = 71, w1 = 4638.022, w2 = 4541.848, dw = -0.05829, nw = 1651 zThAr.0002.ec.fits: ap = 72, w1 = 4600.926, w2 = 4505.523, dw = -0.05782, nw = 1651 zThAr.0002.ec.fits: ap = 73, w1 = 4564.419, w2 = 4469.774, dw = -0.05736, nw = 1651 zThAr.0002.ec.fits: ap = 74, w1 = 4528.488, w2 = 4434.589, dw = -0.05691, nw = 1651 zThAr.0002.ec.fits: ap = 75, w1 = 4493.118, w2 = 4399.953, dw = -0.05646, nw = 1651 zThAr.0002.ec.fits: ap = 76, w1 = 4458.296, w2 = 4365.854, dw = -0.05603, nw = 1651 zThAr.0002.ec.fits: ap = 77, w1 = 4424.01, w2 = 4332.28, dw = -0.05559, nw = 1651 zThAr.0002.ec.fits: ap = 78, w1 = 4390.248, w2 = 4299.219, dw = -0.05517, nw = 1651 zThAr.0002.ec.fits: ap = 79, w1 = 4356.997, w2 = 4266.659, dw = -0.05475, nw = 1651 zThAr.0002.ec.fits: ap = 80, w1 = 4324.247, w2 = 4234.588, dw = -0.05434, nw = 1651 zThAr.0002.ec.fits: ap = 81, w1 = 4291.986, w2 = 4202.997, dw = -0.05393, nw = 1651 zThAr.0002.ec.fits: ap = 82, w1 = 4260.202, w2 = 4171.873, dw = -0.05353, nw = 1651 zThAr.0002.ec.fits: ap = 83, w1 = 4228.886, w2 = 4141.207, dw = -0.05314, nw = 1651 zThAr.0002.ec.fits: ap = 84, w1 = 4198.028, w2 = 4110.989, dw = -0.05275, nw = 1651 zThAr.0002.ec.fits: ap = 85, w1 = 4167.617, w2 = 4081.209, dw = -0.05237, nw = 1651 zThAr.0002.ec.fits: ap = 86, w1 = 4137.643, w2 = 4051.858, dw = -0.05199, nw = 1651 zThAr.0002.ec.fits: ap = 87, w1 = 4108.098, w2 = 4022.926, dw = -0.05162, nw = 1651 zThAr.0002.ec.fits: ap = 88, w1 = 4078.972, w2 = 3994.405, dw = -0.05125, nw = 1651 zThAr.0002.ec.fits: ap = 89, w1 = 4050.257, w2 = 3966.285, dw = -0.05089, nw = 1651 zThAr.0002.ec.fits: ap = 90, w1 = 4021.943, w2 = 3938.559, dw = -0.05054, nw = 1651 zThAr.0002.ec.fits: ap = 91, w1 = 3994.022, w2 = 3911.218, dw = -0.05018, nw = 1651 zThAr.0002.ec.fits: ap = 92, w1 = 3966.487, w2 = 3884.254, dw = -0.04984, nw = 1651 zThAr.0002.ec.fits: ap = 93, w1 = 3939.329, w2 = 3857.66, dw = -0.0495, nw = 1651 zThAr.0002.ec.fits: ap = 94, w1 = 3912.541, w2 = 3831.428, dw = -0.04916, nw = 1651 zThAr.0002.ec.fits: ap = 95, w1 = 3886.115, w2 = 3805.55, dw = -0.04883, nw = 1651 zThAr.0002.ec.fits: ap = 96, w1 = 3860.044, w2 = 3780.02, dw = -0.0485, nw = 1651 zThAr.0002.ec.fits: ap = 97, w1 = 3834.32, w2 = 3754.831, dw = -0.04818, nw = 1651 zThAr.0002.ec.fits: ap = 98, w1 = 3808.938, w2 = 3729.975, dw = -0.04786, nw = 1651 zThAr.0002.ec.fits: ap = 99, w1 = 3783.889, w2 = 3705.446, dw = -0.04754, nw = 1651 zThAr.0002.ec.fits: ap = 100, w1 = 3759.169, w2 = 3681.238, dw = -0.04723, nw = 1651 zThAr.0002.ec.fits: ap = 101, w1 = 3734.769, w2 = 3657.345, dw = -0.04692, nw = 1651 zThAr.0002.ec.fits: ap = 102, w1 = 3710.684, w2 = 3633.76, dw = -0.04662, nw = 1651 zThAr.0002.ec.fits: ap = 103, w1 = 3686.909, w2 = 3610.477, dw = -0.04632, nw = 1651 zThAr.0002.ec.fits: ap = 104, w1 = 3663.436, w2 = 3587.492, dw = -0.04603, nw = 1651 zThAr.0002.ec.fits: ap = 105, w1 = 3640.26, w2 = 3564.797, dw = -0.04574, nw = 1651 zThAr.0002.ec.fits: ap = 106, w1 = 3617.377, w2 = 3542.388, dw = -0.04545, nw = 1651 zThAr.0002.ec.fits: ap = 107, w1 = 3594.779, w2 = 3520.259, dw = -0.04516, nw = 1651 ThAr.0003.ec.fits: REFSPEC1 = 'ThAr.0003.ec 1.' zThAr.0003.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.21, dw = -0.13396, nw = 1651 zThAr.0003.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.62, dw = -0.13153, nw = 1651 zThAr.0003.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12918, nw = 1651 zThAr.0003.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.405, dw = -0.12691, nw = 1651 zThAr.0003.ec.fits: ap = 5, w1 = 9914.873, w2 = 9709.086, dw = -0.12472, nw = 1651 zThAr.0003.ec.fits: ap = 6, w1 = 9746.837, w2 = 9544.54, dw = -0.1226, nw = 1651 zThAr.0003.ec.fits: ap = 7, w1 = 9584.402, w2 = 9385.479, dw = -0.12056, nw = 1651 zThAr.0003.ec.fits: ap = 8, w1 = 9427.293, w2 = 9231.633, dw = -0.11858, nw = 1651 zThAr.0003.ec.fits: ap = 9, w1 = 9275.252, w2 = 9082.75, dw = -0.11667, nw = 1651 zThAr.0003.ec.fits: ap = 10, w1 = 9128.037, w2 = 8938.593, dw = -0.11481, nw = 1651 zThAr.0003.ec.fits: ap = 11, w1 = 8985.423, w2 = 8798.941, dw = -0.11302, nw = 1651 zThAr.0003.ec.fits: ap = 12, w1 = 8847.197, w2 = 8663.586, dw = -0.11128, nw = 1651 zThAr.0003.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.333, dw = -0.10959, nw = 1651 zThAr.0003.ec.fits: ap = 14, w1 = 8583.123, w2 = 8404.998, dw = -0.10795, nw = 1651 zThAr.0003.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.407, dw = -0.10637, nw = 1651 zThAr.0003.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.4, dw = -0.10482, nw = 1651 zThAr.0003.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.821, dw = -0.10332, nw = 1651 zThAr.0003.ec.fits: ap = 18, w1 = 8099.606, w2 = 7931.525, dw = -0.10187, nw = 1651 zThAr.0003.ec.fits: ap = 19, w1 = 7987.121, w2 = 7821.377, dw = -0.10045, nw = 1651 zThAr.0003.ec.fits: ap = 20, w1 = 7877.718, w2 = 7714.247, dw = -0.09907, nw = 1651 zThAr.0003.ec.fits: ap = 21, w1 = 7771.272, w2 = 7610.012, dw = -0.09773, nw = 1651 zThAr.0003.ec.fits: ap = 22, w1 = 7667.665, w2 = 7508.557, dw = -0.09643, nw = 1651 zThAr.0003.ec.fits: ap = 23, w1 = 7566.783, w2 = 7409.772, dw = -0.09516, nw = 1651 zThAr.0003.ec.fits: ap = 24, w1 = 7468.523, w2 = 7313.552, dw = -0.09392, nw = 1651 zThAr.0003.ec.fits: ap = 25, w1 = 7372.781, w2 = 7219.8, dw = -0.09272, nw = 1651 zThAr.0003.ec.fits: ap = 26, w1 = 7279.464, w2 = 7128.421, dw = -0.09154, nw = 1651 zThAr.0003.ec.fits: ap = 27, w1 = 7188.479, w2 = 7039.327, dw = -0.0904, nw = 1651 zThAr.0003.ec.fits: ap = 28, w1 = 7099.741, w2 = 6952.432, dw = -0.08928, nw = 1651 zThAr.0003.ec.fits: ap = 29, w1 = 7013.168, w2 = 6867.657, dw = -0.08819, nw = 1651 zThAr.0003.ec.fits: ap = 30, w1 = 6928.68, w2 = 6784.925, dw = -0.08712, nw = 1651 zThAr.0003.ec.fits: ap = 31, w1 = 6846.204, w2 = 6704.163, dw = -0.08609, nw = 1651 zThAr.0003.ec.fits: ap = 32, w1 = 6765.669, w2 = 6625.301, dw = -0.08507, nw = 1651 zThAr.0003.ec.fits: ap = 33, w1 = 6687.007, w2 = 6548.273, dw = -0.08408, nw = 1651 zThAr.0003.ec.fits: ap = 34, w1 = 6610.153, w2 = 6473.015, dw = -0.08311, nw = 1651 zThAr.0003.ec.fits: ap = 35, w1 = 6535.046, w2 = 6399.469, dw = -0.08217, nw = 1651 zThAr.0003.ec.fits: ap = 36, w1 = 6461.626, w2 = 6327.575, dw = -0.08124, nw = 1651 zThAr.0003.ec.fits: ap = 37, w1 = 6389.839, w2 = 6257.278, dw = -0.08034, nw = 1651 zThAr.0003.ec.fits: ap = 38, w1 = 6319.629, w2 = 6188.527, dw = -0.07946, nw = 1651 zThAr.0003.ec.fits: ap = 39, w1 = 6250.945, w2 = 6121.27, dw = -0.07859, nw = 1651 zThAr.0003.ec.fits: ap = 40, w1 = 6183.739, w2 = 6055.46, dw = -0.07774, nw = 1651 zThAr.0003.ec.fits: ap = 41, w1 = 6117.962, w2 = 5991.05, dw = -0.07692, nw = 1651 zThAr.0003.ec.fits: ap = 42, w1 = 6053.57, w2 = 5927.996, dw = -0.07611, nw = 1651 zThAr.0003.ec.fits: ap = 43, w1 = 5990.52, w2 = 5866.256, dw = -0.07531, nw = 1651 zThAr.0003.ec.fits: ap = 44, w1 = 5928.77, w2 = 5805.788, dw = -0.07453, nw = 1651 zThAr.0003.ec.fits: ap = 45, w1 = 5868.281, w2 = 5746.555, dw = -0.07377, nw = 1651 zThAr.0003.ec.fits: ap = 46, w1 = 5809.013, w2 = 5688.519, dw = -0.07303, nw = 1651 zThAr.0003.ec.fits: ap = 47, w1 = 5750.931, w2 = 5631.643, dw = -0.0723, nw = 1651 zThAr.0003.ec.fits: ap = 48, w1 = 5693.999, w2 = 5575.894, dw = -0.07158, nw = 1651 zThAr.0003.ec.fits: ap = 49, w1 = 5638.183, w2 = 5521.238, dw = -0.07088, nw = 1651 zThAr.0003.ec.fits: ap = 50, w1 = 5583.451, w2 = 5467.643, dw = -0.07019, nw = 1651 zThAr.0003.ec.fits: ap = 51, w1 = 5529.772, w2 = 5415.079, dw = -0.06951, nw = 1651 zThAr.0003.ec.fits: ap = 52, w1 = 5477.115, w2 = 5363.516, dw = -0.06885, nw = 1651 zThAr.0003.ec.fits: ap = 53, w1 = 5425.452, w2 = 5312.926, dw = -0.0682, nw = 1651 zThAr.0003.ec.fits: ap = 54, w1 = 5374.755, w2 = 5263.282, dw = -0.06756, nw = 1651 zThAr.0003.ec.fits: ap = 55, w1 = 5324.997, w2 = 5214.557, dw = -0.06693, nw = 1651 zThAr.0003.ec.fits: ap = 56, w1 = 5276.152, w2 = 5166.726, dw = -0.06632, nw = 1651 zThAr.0003.ec.fits: ap = 57, w1 = 5228.195, w2 = 5119.765, dw = -0.06571, nw = 1651 zThAr.0003.ec.fits: ap = 58, w1 = 5181.102, w2 = 5073.65, dw = -0.06512, nw = 1651 zThAr.0003.ec.fits: ap = 59, w1 = 5134.85, w2 = 5028.359, dw = -0.06454, nw = 1651 zThAr.0003.ec.fits: ap = 60, w1 = 5089.417, w2 = 4983.87, dw = -0.06397, nw = 1651 zThAr.0003.ec.fits: ap = 61, w1 = 5044.781, w2 = 4940.161, dw = -0.06341, nw = 1651 zThAr.0003.ec.fits: ap = 62, w1 = 5000.922, w2 = 4897.212, dw = -0.06285, nw = 1651 zThAr.0003.ec.fits: ap = 63, w1 = 4957.819, w2 = 4855.004, dw = -0.06231, nw = 1651 zThAr.0003.ec.fits: ap = 64, w1 = 4915.452, w2 = 4813.517, dw = -0.06178, nw = 1651 zThAr.0003.ec.fits: ap = 65, w1 = 4873.804, w2 = 4772.734, dw = -0.06125, nw = 1651 zThAr.0003.ec.fits: ap = 66, w1 = 4832.856, w2 = 4732.636, dw = -0.06074, nw = 1651 zThAr.0003.ec.fits: ap = 67, w1 = 4792.591, w2 = 4693.207, dw = -0.06023, nw = 1651 zThAr.0003.ec.fits: ap = 68, w1 = 4752.991, w2 = 4654.429, dw = -0.05973, nw = 1651 zThAr.0003.ec.fits: ap = 69, w1 = 4714.041, w2 = 4616.288, dw = -0.05924, nw = 1651 zThAr.0003.ec.fits: ap = 70, w1 = 4675.724, w2 = 4578.766, dw = -0.05876, nw = 1651 zThAr.0003.ec.fits: ap = 71, w1 = 4638.025, w2 = 4541.85, dw = -0.05829, nw = 1651 zThAr.0003.ec.fits: ap = 72, w1 = 4600.929, w2 = 4505.524, dw = -0.05782, nw = 1651 zThAr.0003.ec.fits: ap = 73, w1 = 4564.423, w2 = 4469.775, dw = -0.05736, nw = 1651 zThAr.0003.ec.fits: ap = 74, w1 = 4528.491, w2 = 4434.589, dw = -0.05691, nw = 1651 zThAr.0003.ec.fits: ap = 75, w1 = 4493.121, w2 = 4399.954, dw = -0.05647, nw = 1651 zThAr.0003.ec.fits: ap = 76, w1 = 4458.299, w2 = 4365.855, dw = -0.05603, nw = 1651 zThAr.0003.ec.fits: ap = 77, w1 = 4424.014, w2 = 4332.281, dw = -0.0556, nw = 1651 zThAr.0003.ec.fits: ap = 78, w1 = 4390.252, w2 = 4299.219, dw = -0.05517, nw = 1651 zThAr.0003.ec.fits: ap = 79, w1 = 4357.001, w2 = 4266.659, dw = -0.05475, nw = 1651 zThAr.0003.ec.fits: ap = 80, w1 = 4324.251, w2 = 4234.588, dw = -0.05434, nw = 1651 zThAr.0003.ec.fits: ap = 81, w1 = 4291.99, w2 = 4202.996, dw = -0.05394, nw = 1651 zThAr.0003.ec.fits: ap = 82, w1 = 4260.207, w2 = 4171.872, dw = -0.05354, nw = 1651 zThAr.0003.ec.fits: ap = 83, w1 = 4228.891, w2 = 4141.206, dw = -0.05314, nw = 1651 zThAr.0003.ec.fits: ap = 84, w1 = 4198.032, w2 = 4110.988, dw = -0.05275, nw = 1651 zThAr.0003.ec.fits: ap = 85, w1 = 4167.621, w2 = 4081.207, dw = -0.05237, nw = 1651 zThAr.0003.ec.fits: ap = 86, w1 = 4137.648, w2 = 4051.856, dw = -0.052, nw = 1651 zThAr.0003.ec.fits: ap = 87, w1 = 4108.103, w2 = 4022.924, dw = -0.05162, nw = 1651 zThAr.0003.ec.fits: ap = 88, w1 = 4078.977, w2 = 3994.402, dw = -0.05126, nw = 1651 zThAr.0003.ec.fits: ap = 89, w1 = 4050.262, w2 = 3966.282, dw = -0.0509, nw = 1651 zThAr.0003.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 zThAr.0003.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.214, dw = -0.05019, nw = 1651 zThAr.0003.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.25, dw = -0.04984, nw = 1651 zThAr.0003.ec.fits: ap = 93, w1 = 3939.336, w2 = 3857.655, dw = -0.0495, nw = 1651 zThAr.0003.ec.fits: ap = 94, w1 = 3912.548, w2 = 3831.422, dw = -0.04917, nw = 1651 zThAr.0003.ec.fits: ap = 95, w1 = 3886.122, w2 = 3805.544, dw = -0.04883, nw = 1651 zThAr.0003.ec.fits: ap = 96, w1 = 3860.051, w2 = 3780.014, dw = -0.04851, nw = 1651 zThAr.0003.ec.fits: ap = 97, w1 = 3834.328, w2 = 3754.823, dw = -0.04818, nw = 1651 zThAr.0003.ec.fits: ap = 98, w1 = 3808.946, w2 = 3729.967, dw = -0.04787, nw = 1651 zThAr.0003.ec.fits: ap = 99, w1 = 3783.898, w2 = 3705.438, dw = -0.04755, nw = 1651 zThAr.0003.ec.fits: ap = 100, w1 = 3759.177, w2 = 3681.229, dw = -0.04724, nw = 1651 zThAr.0003.ec.fits: ap = 101, w1 = 3734.778, w2 = 3657.335, dw = -0.04693, nw = 1651 zThAr.0003.ec.fits: ap = 102, w1 = 3710.693, w2 = 3633.75, dw = -0.04663, nw = 1651 zThAr.0003.ec.fits: ap = 103, w1 = 3686.918, w2 = 3610.467, dw = -0.04633, nw = 1651 zThAr.0003.ec.fits: ap = 104, w1 = 3663.445, w2 = 3587.48, dw = -0.04604, nw = 1651 zThAr.0003.ec.fits: ap = 105, w1 = 3640.27, w2 = 3564.785, dw = -0.04575, nw = 1651 zThAr.0003.ec.fits: ap = 106, w1 = 3617.387, w2 = 3542.375, dw = -0.04546, nw = 1651 zThAr.0003.ec.fits: ap = 107, w1 = 3594.79, w2 = 3520.246, dw = -0.04518, nw = 1651 ThAr.0004.ec.fits: REFSPEC1 = 'ThAr.0004.ec 1.' zThAr.0004.ec.fits: ap = 1, w1 = 10649.25, w2 = 10428.22, dw = -0.13396, nw = 1651 zThAr.0004.ec.fits: ap = 2, w1 = 10455.64, w2 = 10238.63, dw = -0.13152, nw = 1651 zThAr.0004.ec.fits: ap = 3, w1 = 10268.95, w2 = 10055.81, dw = -0.12917, nw = 1651 zThAr.0004.ec.fits: ap = 4, w1 = 10088.8, w2 = 9879.41, dw = -0.1269, nw = 1651 zThAr.0004.ec.fits: ap = 5, w1 = 9914.871, w2 = 9709.09, dw = -0.12472, nw = 1651 zThAr.0004.ec.fits: ap = 6, w1 = 9746.836, w2 = 9544.544, dw = -0.1226, nw = 1651 zThAr.0004.ec.fits: ap = 7, w1 = 9584.401, w2 = 9385.483, dw = -0.12056, nw = 1651 zThAr.0004.ec.fits: ap = 8, w1 = 9427.292, w2 = 9231.636, dw = -0.11858, nw = 1651 zThAr.0004.ec.fits: ap = 9, w1 = 9275.251, w2 = 9082.753, dw = -0.11667, nw = 1651 zThAr.0004.ec.fits: ap = 10, w1 = 9128.036, w2 = 8938.596, dw = -0.11481, nw = 1651 zThAr.0004.ec.fits: ap = 11, w1 = 8985.422, w2 = 8798.944, dw = -0.11302, nw = 1651 zThAr.0004.ec.fits: ap = 12, w1 = 8847.196, w2 = 8663.588, dw = -0.11128, nw = 1651 zThAr.0004.ec.fits: ap = 13, w1 = 8713.159, w2 = 8532.335, dw = -0.10959, nw = 1651 zThAr.0004.ec.fits: ap = 14, w1 = 8583.122, w2 = 8404.999, dw = -0.10795, nw = 1651 zThAr.0004.ec.fits: ap = 15, w1 = 8456.911, w2 = 8281.409, dw = -0.10636, nw = 1651 zThAr.0004.ec.fits: ap = 16, w1 = 8334.357, w2 = 8161.401, dw = -0.10482, nw = 1651 zThAr.0004.ec.fits: ap = 17, w1 = 8215.305, w2 = 8044.822, dw = -0.10332, nw = 1651 zThAr.0004.ec.fits: ap = 18, w1 = 8099.607, w2 = 7931.526, dw = -0.10187, nw = 1651 zThAr.0004.ec.fits: ap = 19, w1 = 7987.122, w2 = 7821.378, dw = -0.10045, nw = 1651 zThAr.0004.ec.fits: ap = 20, w1 = 7877.72, w2 = 7714.248, dw = -0.09907, nw = 1651 zThAr.0004.ec.fits: ap = 21, w1 = 7771.274, w2 = 7610.013, dw = -0.09773, nw = 1651 zThAr.0004.ec.fits: ap = 22, w1 = 7667.666, w2 = 7508.557, dw = -0.09643, nw = 1651 zThAr.0004.ec.fits: ap = 23, w1 = 7566.785, w2 = 7409.772, dw = -0.09516, nw = 1651 zThAr.0004.ec.fits: ap = 24, w1 = 7468.525, w2 = 7313.552, dw = -0.09392, nw = 1651 zThAr.0004.ec.fits: ap = 25, w1 = 7372.784, w2 = 7219.8, dw = -0.09272, nw = 1651 zThAr.0004.ec.fits: ap = 26, w1 = 7279.467, w2 = 7128.421, dw = -0.09154, nw = 1651 zThAr.0004.ec.fits: ap = 27, w1 = 7188.482, w2 = 7039.327, dw = -0.0904, nw = 1651 zThAr.0004.ec.fits: ap = 28, w1 = 7099.744, w2 = 6952.432, dw = -0.08928, nw = 1651 zThAr.0004.ec.fits: ap = 29, w1 = 7013.171, w2 = 6867.657, dw = -0.08819, nw = 1651 zThAr.0004.ec.fits: ap = 30, w1 = 6928.684, w2 = 6784.925, dw = -0.08713, nw = 1651 zThAr.0004.ec.fits: ap = 31, w1 = 6846.208, w2 = 6704.162, dw = -0.08609, nw = 1651 zThAr.0004.ec.fits: ap = 32, w1 = 6765.673, w2 = 6625.3, dw = -0.08507, nw = 1651 zThAr.0004.ec.fits: ap = 33, w1 = 6687.011, w2 = 6548.272, dw = -0.08408, nw = 1651 zThAr.0004.ec.fits: ap = 34, w1 = 6610.157, w2 = 6473.015, dw = -0.08312, nw = 1651 zThAr.0004.ec.fits: ap = 35, w1 = 6535.05, w2 = 6399.468, dw = -0.08217, nw = 1651 zThAr.0004.ec.fits: ap = 36, w1 = 6461.631, w2 = 6327.574, dw = -0.08125, nw = 1651 zThAr.0004.ec.fits: ap = 37, w1 = 6389.844, w2 = 6257.278, dw = -0.08034, nw = 1651 zThAr.0004.ec.fits: ap = 38, w1 = 6319.634, w2 = 6188.526, dw = -0.07946, nw = 1651 zThAr.0004.ec.fits: ap = 39, w1 = 6250.95, w2 = 6121.269, dw = -0.07859, nw = 1651 zThAr.0004.ec.fits: ap = 40, w1 = 6183.744, w2 = 6055.459, dw = -0.07775, nw = 1651 zThAr.0004.ec.fits: ap = 41, w1 = 6117.968, w2 = 5991.049, dw = -0.07692, nw = 1651 zThAr.0004.ec.fits: ap = 42, w1 = 6053.576, w2 = 5927.995, dw = -0.07611, nw = 1651 zThAr.0004.ec.fits: ap = 43, w1 = 5990.526, w2 = 5866.255, dw = -0.07532, nw = 1651 zThAr.0004.ec.fits: ap = 44, w1 = 5928.776, w2 = 5805.788, dw = -0.07454, nw = 1651 zThAr.0004.ec.fits: ap = 45, w1 = 5868.287, w2 = 5746.555, dw = -0.07378, nw = 1651 zThAr.0004.ec.fits: ap = 46, w1 = 5809.019, w2 = 5688.518, dw = -0.07303, nw = 1651 zThAr.0004.ec.fits: ap = 47, w1 = 5750.937, w2 = 5631.642, dw = -0.0723, nw = 1651 zThAr.0004.ec.fits: ap = 48, w1 = 5694.005, w2 = 5575.893, dw = -0.07158, nw = 1651 zThAr.0004.ec.fits: ap = 49, w1 = 5638.19, w2 = 5521.237, dw = -0.07088, nw = 1651 zThAr.0004.ec.fits: ap = 50, w1 = 5583.458, w2 = 5467.642, dw = -0.07019, nw = 1651 zThAr.0004.ec.fits: ap = 51, w1 = 5529.779, w2 = 5415.078, dw = -0.06952, nw = 1651 zThAr.0004.ec.fits: ap = 52, w1 = 5477.122, w2 = 5363.515, dw = -0.06885, nw = 1651 zThAr.0004.ec.fits: ap = 53, w1 = 5425.459, w2 = 5312.925, dw = -0.0682, nw = 1651 zThAr.0004.ec.fits: ap = 54, w1 = 5374.762, w2 = 5263.281, dw = -0.06756, nw = 1651 zThAr.0004.ec.fits: ap = 55, w1 = 5325.004, w2 = 5214.556, dw = -0.06694, nw = 1651 zThAr.0004.ec.fits: ap = 56, w1 = 5276.159, w2 = 5166.726, dw = -0.06632, nw = 1651 zThAr.0004.ec.fits: ap = 57, w1 = 5228.202, w2 = 5119.765, dw = -0.06572, nw = 1651 zThAr.0004.ec.fits: ap = 58, w1 = 5181.109, w2 = 5073.65, dw = -0.06513, nw = 1651 zThAr.0004.ec.fits: ap = 59, w1 = 5134.857, w2 = 5028.359, dw = -0.06454, nw = 1651 zThAr.0004.ec.fits: ap = 60, w1 = 5089.424, w2 = 4983.869, dw = -0.06397, nw = 1651 zThAr.0004.ec.fits: ap = 61, w1 = 5044.788, w2 = 4940.16, dw = -0.06341, nw = 1651 zThAr.0004.ec.fits: ap = 62, w1 = 5000.928, w2 = 4897.212, dw = -0.06286, nw = 1651 zThAr.0004.ec.fits: ap = 63, w1 = 4957.825, w2 = 4855.004, dw = -0.06232, nw = 1651 zThAr.0004.ec.fits: ap = 64, w1 = 4915.459, w2 = 4813.517, dw = -0.06178, nw = 1651 zThAr.0004.ec.fits: ap = 65, w1 = 4873.811, w2 = 4772.734, dw = -0.06126, nw = 1651 zThAr.0004.ec.fits: ap = 66, w1 = 4832.863, w2 = 4732.636, dw = -0.06074, nw = 1651 zThAr.0004.ec.fits: ap = 67, w1 = 4792.597, w2 = 4693.207, dw = -0.06024, nw = 1651 zThAr.0004.ec.fits: ap = 68, w1 = 4752.997, w2 = 4654.429, dw = -0.05974, nw = 1651 zThAr.0004.ec.fits: ap = 69, w1 = 4714.047, w2 = 4616.287, dw = -0.05925, nw = 1651 zThAr.0004.ec.fits: ap = 70, w1 = 4675.729, w2 = 4578.766, dw = -0.05877, nw = 1651 zThAr.0004.ec.fits: ap = 71, w1 = 4638.03, w2 = 4541.849, dw = -0.05829, nw = 1651 zThAr.0004.ec.fits: ap = 72, w1 = 4600.935, w2 = 4505.524, dw = -0.05782, nw = 1651 zThAr.0004.ec.fits: ap = 73, w1 = 4564.428, w2 = 4469.775, dw = -0.05737, nw = 1651 zThAr.0004.ec.fits: ap = 74, w1 = 4528.496, w2 = 4434.589, dw = -0.05691, nw = 1651 zThAr.0004.ec.fits: ap = 75, w1 = 4493.126, w2 = 4399.953, dw = -0.05647, nw = 1651 zThAr.0004.ec.fits: ap = 76, w1 = 4458.304, w2 = 4365.854, dw = -0.05603, nw = 1651 zThAr.0004.ec.fits: ap = 77, w1 = 4424.018, w2 = 4332.28, dw = -0.0556, nw = 1651 zThAr.0004.ec.fits: ap = 78, w1 = 4390.256, w2 = 4299.219, dw = -0.05517, nw = 1651 zThAr.0004.ec.fits: ap = 79, w1 = 4357.005, w2 = 4266.658, dw = -0.05476, nw = 1651 zThAr.0004.ec.fits: ap = 80, w1 = 4324.255, w2 = 4234.588, dw = -0.05434, nw = 1651 zThAr.0004.ec.fits: ap = 81, w1 = 4291.993, w2 = 4202.996, dw = -0.05394, nw = 1651 zThAr.0004.ec.fits: ap = 82, w1 = 4260.21, w2 = 4171.872, dw = -0.05354, nw = 1651 zThAr.0004.ec.fits: ap = 83, w1 = 4228.894, w2 = 4141.206, dw = -0.05314, nw = 1651 zThAr.0004.ec.fits: ap = 84, w1 = 4198.035, w2 = 4110.987, dw = -0.05276, nw = 1651 zThAr.0004.ec.fits: ap = 85, w1 = 4167.623, w2 = 4081.207, dw = -0.05237, nw = 1651 zThAr.0004.ec.fits: ap = 86, w1 = 4137.65, w2 = 4051.855, dw = -0.052, nw = 1651 zThAr.0004.ec.fits: ap = 87, w1 = 4108.105, w2 = 4022.923, dw = -0.05163, nw = 1651 zThAr.0004.ec.fits: ap = 88, w1 = 4078.978, w2 = 3994.401, dw = -0.05126, nw = 1651 zThAr.0004.ec.fits: ap = 89, w1 = 4050.263, w2 = 3966.281, dw = -0.0509, nw = 1651 zThAr.0004.ec.fits: ap = 90, w1 = 4021.949, w2 = 3938.555, dw = -0.05054, nw = 1651 zThAr.0004.ec.fits: ap = 91, w1 = 3994.028, w2 = 3911.213, dw = -0.05019, nw = 1651 zThAr.0004.ec.fits: ap = 92, w1 = 3966.493, w2 = 3884.249, dw = -0.04984, nw = 1651 zThAr.0004.ec.fits: ap = 93, w1 = 3939.335, w2 = 3857.654, dw = -0.0495, nw = 1651 zThAr.0004.ec.fits: ap = 94, w1 = 3912.546, w2 = 3831.422, dw = -0.04917, nw = 1651 zThAr.0004.ec.fits: ap = 95, w1 = 3886.12, w2 = 3805.543, dw = -0.04883, nw = 1651 zThAr.0004.ec.fits: ap = 96, w1 = 3860.048, w2 = 3780.013, dw = -0.04851, nw = 1651 zThAr.0004.ec.fits: ap = 97, w1 = 3834.325, w2 = 3754.822, dw = -0.04818, nw = 1651 zThAr.0004.ec.fits: ap = 98, w1 = 3808.942, w2 = 3729.966, dw = -0.04786, nw = 1651 zThAr.0004.ec.fits: ap = 99, w1 = 3783.893, w2 = 3705.437, dw = -0.04755, nw = 1651 zThAr.0004.ec.fits: ap = 100, w1 = 3759.172, w2 = 3681.228, dw = -0.04724, nw = 1651 zThAr.0004.ec.fits: ap = 101, w1 = 3734.772, w2 = 3657.334, dw = -0.04693, nw = 1651 zThAr.0004.ec.fits: ap = 102, w1 = 3710.687, w2 = 3633.748, dw = -0.04663, nw = 1651 zThAr.0004.ec.fits: ap = 103, w1 = 3686.911, w2 = 3610.465, dw = -0.04633, nw = 1651 zThAr.0004.ec.fits: ap = 104, w1 = 3663.438, w2 = 3587.479, dw = -0.04604, nw = 1651 zThAr.0004.ec.fits: ap = 105, w1 = 3640.262, w2 = 3564.783, dw = -0.04574, nw = 1651 zThAr.0004.ec.fits: ap = 106, w1 = 3617.378, w2 = 3542.374, dw = -0.04546, nw = 1651 zThAr.0004.ec.fits: ap = 107, w1 = 3594.78, w2 = 3520.244, dw = -0.04517, nw = 1651 Continuum fitting the spectra... Combining spectra... Dec 10 13:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0005.ec.fits[ 1] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 2] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 3] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 4] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 5] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 6] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 7] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 8] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 9] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 10] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 11] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 12] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 13] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 14] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 15] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 16] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 17] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 18] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 19] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 20] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 21] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 22] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 23] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 24] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 25] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 26] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 27] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 28] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 29] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 30] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 31] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 32] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 33] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 34] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 35] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 36] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 37] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 38] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 39] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 40] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 41] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 42] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 43] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 44] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 45] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 46] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 47] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 48] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 49] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 50] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 51] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 52] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 53] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 54] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 55] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 56] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 57] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 58] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 59] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 60] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 61] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 62] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 63] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 64] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 65] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 66] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 67] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 68] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 69] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 70] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 71] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 72] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 73] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 74] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 75] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 76] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 77] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 78] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 79] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 80] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 81] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 82] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 83] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 84] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 85] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 86] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 87] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 88] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 89] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 90] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 91] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 92] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 93] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 94] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 95] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 96] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 97] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 98] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[ 99] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[100] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[101] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[102] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[103] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[104] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[105] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[106] 2700.0 1.000 0. 0.009 120627.0005.ec.fits[107] 2700.0 1.000 0. 0.009 Output image = sum120627.0005.ec.fits, ncombine = 107, exptime = 288900. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0006.ec.fits[ 1] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 2] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 3] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 4] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 5] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 6] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 7] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 8] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 9] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 10] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 11] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 12] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 13] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 14] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 15] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 16] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 17] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 18] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 19] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 20] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 21] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 22] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 23] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 24] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 25] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 26] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 27] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 28] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 29] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 30] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 31] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 32] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 33] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 34] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 35] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 36] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 37] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 38] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 39] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 40] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 41] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 42] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 43] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 44] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 45] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 46] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 47] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 48] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 49] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 50] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 51] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 52] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 53] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 54] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 55] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 56] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 57] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 58] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 59] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 60] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 61] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 62] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 63] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 64] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 65] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 66] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 67] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 68] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 69] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 70] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 71] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 72] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 73] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 74] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 75] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 76] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 77] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 78] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 79] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 80] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 81] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 82] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 83] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 84] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 85] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 86] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 87] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 88] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 89] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 90] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 91] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 92] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 93] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 94] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 95] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 96] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 97] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 98] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[ 99] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[100] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[101] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[102] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[103] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[104] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[105] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[106] 2700.0 1.000 0. 0.009 120627.0006.ec.fits[107] 2700.0 1.000 0. 0.009 Output image = sum120627.0006.ec.fits, ncombine = 107, exptime = 288900. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0007.ec.fits[ 1] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 2] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 3] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 4] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 5] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 6] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 7] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 8] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 9] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 10] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 11] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 12] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 13] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 14] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 15] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 16] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 17] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 18] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 19] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 20] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 21] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 22] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 23] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 24] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 25] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 26] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 27] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 28] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 29] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 30] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 31] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 32] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 33] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 34] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 35] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 36] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 37] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 38] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 39] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 40] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 41] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 42] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 43] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 44] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 45] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 46] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 47] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 48] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 49] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 50] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 51] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 52] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 53] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 54] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 55] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 56] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 57] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 58] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 59] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 60] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 61] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 62] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 63] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 64] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 65] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 66] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 67] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 68] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 69] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 70] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 71] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 72] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 73] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 74] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 75] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 76] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 77] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 78] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 79] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 80] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 81] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 82] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 83] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 84] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 85] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 86] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 87] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 88] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 89] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 90] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 91] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 92] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 93] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 94] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 95] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 96] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 97] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 98] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[ 99] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[100] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[101] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[102] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[103] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[104] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[105] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[106] 2700.0 1.000 0. 0.009 120627.0007.ec.fits[107] 2700.0 1.000 0. 0.009 Output image = sum120627.0007.ec.fits, ncombine = 107, exptime = 288900. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0008.ec.fits[ 1] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 2] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 3] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 4] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 5] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 6] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 7] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 8] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 9] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 10] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 11] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 12] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 13] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 14] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 15] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 16] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 17] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 18] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 19] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 20] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 21] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 22] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 23] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 24] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 25] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 26] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 27] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 28] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 29] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 30] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 31] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 32] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 33] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 34] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 35] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 36] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 37] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 38] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 39] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 40] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 41] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 42] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 43] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 44] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 45] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 46] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 47] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 48] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 49] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 50] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 51] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 52] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 53] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 54] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 55] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 56] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 57] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 58] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 59] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 60] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 61] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 62] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 63] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 64] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 65] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 66] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 67] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 68] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 69] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 70] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 71] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 72] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 73] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 74] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 75] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 76] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 77] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 78] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 79] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 80] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 81] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 82] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 83] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 84] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 85] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 86] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 87] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 88] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 89] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 90] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 91] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 92] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 93] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 94] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 95] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 96] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 97] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 98] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[ 99] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[100] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[101] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[102] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[103] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[104] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[105] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[106] 1800.0 1.000 0. 0.009 120627.0008.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sum120627.0008.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0009.ec.fits[ 1] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 2] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 3] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 4] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 5] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 6] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 7] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 8] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 9] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 10] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 11] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 12] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 13] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 14] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 15] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 16] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 17] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 18] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 19] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 20] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 21] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 22] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 23] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 24] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 25] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 26] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 27] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 28] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 29] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 30] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 31] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 32] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 33] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 34] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 35] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 36] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 37] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 38] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 39] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 40] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 41] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 42] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 43] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 44] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 45] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 46] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 47] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 48] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 49] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 50] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 51] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 52] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 53] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 54] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 55] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 56] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 57] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 58] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 59] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 60] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 61] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 62] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 63] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 64] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 65] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 66] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 67] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 68] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 69] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 70] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 71] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 72] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 73] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 74] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 75] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 76] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 77] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 78] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 79] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 80] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 81] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 82] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 83] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 84] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 85] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 86] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 87] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 88] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 89] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 90] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 91] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 92] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 93] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 94] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 95] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 96] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 97] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 98] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[ 99] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[100] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[101] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[102] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[103] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[104] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[105] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[106] 1800.0 1.000 0. 0.009 120627.0009.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sum120627.0009.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0010.ec.fits[ 1] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 2] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 3] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 4] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 5] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 6] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 7] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 8] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 9] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 10] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 11] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 12] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 13] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 14] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 15] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 16] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 17] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 18] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 19] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 20] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 21] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 22] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 23] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 24] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 25] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 26] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 27] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 28] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 29] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 30] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 31] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 32] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 33] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 34] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 35] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 36] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 37] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 38] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 39] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 40] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 41] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 42] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 43] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 44] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 45] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 46] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 47] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 48] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 49] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 50] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 51] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 52] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 53] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 54] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 55] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 56] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 57] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 58] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 59] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 60] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 61] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 62] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 63] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 64] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 65] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 66] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 67] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 68] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 69] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 70] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 71] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 72] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 73] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 74] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 75] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 76] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 77] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 78] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 79] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 80] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 81] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 82] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 83] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 84] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 85] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 86] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 87] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 88] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 89] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 90] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 91] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 92] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 93] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 94] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 95] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 96] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 97] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 98] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[ 99] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[100] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[101] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[102] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[103] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[104] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[105] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[106] 1800.0 1.000 0. 0.009 120627.0010.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sum120627.0010.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120627.0011.ec.fits[ 1] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 2] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 3] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 4] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 5] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 6] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 7] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 8] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 9] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 10] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 11] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 12] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 13] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 14] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 15] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 16] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 17] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 18] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 19] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 20] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 21] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 22] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 23] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 24] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 25] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 26] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 27] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 28] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 29] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 30] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 31] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 32] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 33] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 34] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 35] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 36] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 37] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 38] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 39] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 40] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 41] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 42] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 43] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 44] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 45] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 46] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 47] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 48] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 49] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 50] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 51] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 52] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 53] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 54] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 55] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 56] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 57] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 58] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 59] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 60] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 61] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 62] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 63] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 64] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 65] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 66] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 67] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 68] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 69] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 70] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 71] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 72] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 73] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 74] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 75] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 76] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 77] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 78] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 79] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 80] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 81] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 82] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 83] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 84] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 85] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 86] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 87] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 88] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 89] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 90] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 91] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 92] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 93] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 94] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 95] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 96] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 97] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 98] 611.2 1.000 0. 0.009 120627.0011.ec.fits[ 99] 611.2 1.000 0. 0.009 120627.0011.ec.fits[100] 611.2 1.000 0. 0.009 120627.0011.ec.fits[101] 611.2 1.000 0. 0.009 120627.0011.ec.fits[102] 611.2 1.000 0. 0.009 120627.0011.ec.fits[103] 611.2 1.000 0. 0.009 120627.0011.ec.fits[104] 611.2 1.000 0. 0.009 120627.0011.ec.fits[105] 611.2 1.000 0. 0.009 120627.0011.ec.fits[106] 611.2 1.000 0. 0.009 120627.0011.ec.fits[107] 611.2 1.000 0. 0.009 Output image = sum120627.0011.ec.fits, ncombine = 107, exptime = 65401.16 w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0005.ec.fits[ 1] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 2] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 3] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 4] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 5] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 6] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 7] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 8] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 9] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 10] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 11] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 12] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 13] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 14] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 15] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 16] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 17] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 18] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 19] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 20] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 21] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 22] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 23] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 24] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 25] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 26] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 27] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 28] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 29] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 30] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 31] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 32] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 33] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 34] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 35] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 36] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 37] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 38] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 39] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 40] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 41] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 42] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 43] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 44] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 45] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 46] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 47] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 48] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 49] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 50] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 51] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 52] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 53] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 54] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 55] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 56] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 57] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 58] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 59] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 60] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 61] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 62] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 63] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 64] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 65] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 66] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 67] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 68] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 69] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 70] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 71] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 72] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 73] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 74] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 75] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 76] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 77] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 78] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 79] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 80] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 81] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 82] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 83] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 84] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 85] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 86] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 87] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 88] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 89] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 90] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 91] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 92] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 93] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 94] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 95] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 96] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 97] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 98] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[ 99] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[100] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[101] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[102] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[103] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[104] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[105] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[106] 2700.0 1.000 0. 0.009 fitcont120627.0005.ec.fits[107] 2700.0 1.000 0. 0.009 Output image = sumfitcont120627.0005.ec.fits, ncombine = 107, exptime = 288900. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0006.ec.fits[ 1] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 2] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 3] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 4] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 5] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 6] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 7] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 8] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 9] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 10] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 11] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 12] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 13] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 14] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 15] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 16] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 17] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 18] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 19] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 20] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 21] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 22] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 23] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 24] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 25] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 26] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 27] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 28] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 29] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 30] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 31] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 32] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 33] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 34] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 35] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 36] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 37] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 38] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 39] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 40] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 41] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 42] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 43] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 44] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 45] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 46] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 47] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 48] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 49] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 50] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 51] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 52] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 53] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 54] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 55] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 56] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 57] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 58] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 59] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 60] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 61] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 62] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 63] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 64] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 65] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 66] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 67] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 68] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 69] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 70] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 71] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 72] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 73] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 74] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 75] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 76] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 77] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 78] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 79] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 80] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 81] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 82] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 83] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 84] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 85] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 86] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 87] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 88] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 89] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 90] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 91] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 92] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 93] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 94] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 95] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 96] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 97] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 98] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[ 99] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[100] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[101] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[102] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[103] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[104] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[105] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[106] 2700.0 1.000 0. 0.009 fitcont120627.0006.ec.fits[107] 2700.0 1.000 0. 0.009 Output image = sumfitcont120627.0006.ec.fits, ncombine = 107, exptime = 288900. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0007.ec.fits[ 1] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 2] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 3] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 4] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 5] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 6] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 7] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 8] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 9] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 10] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 11] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 12] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 13] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 14] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 15] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 16] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 17] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 18] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 19] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 20] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 21] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 22] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 23] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 24] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 25] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 26] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 27] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 28] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 29] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 30] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 31] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 32] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 33] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 34] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 35] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 36] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 37] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 38] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 39] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 40] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 41] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 42] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 43] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 44] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 45] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 46] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 47] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 48] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 49] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 50] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 51] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 52] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 53] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 54] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 55] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 56] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 57] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 58] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 59] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 60] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 61] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 62] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 63] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 64] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 65] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 66] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 67] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 68] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 69] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 70] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 71] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 72] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 73] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 74] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 75] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 76] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 77] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 78] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 79] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 80] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 81] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 82] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 83] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 84] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 85] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 86] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 87] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 88] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 89] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 90] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 91] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 92] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 93] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 94] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 95] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 96] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 97] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 98] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[ 99] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[100] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[101] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[102] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[103] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[104] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[105] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[106] 2700.0 1.000 0. 0.009 fitcont120627.0007.ec.fits[107] 2700.0 1.000 0. 0.009 Output image = sumfitcont120627.0007.ec.fits, ncombine = 107, exptime = 288900. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0008.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120627.0008.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sumfitcont120627.0008.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0009.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120627.0009.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sumfitcont120627.0009.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:25: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0010.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120627.0010.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sumfitcont120627.0010.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 Dec 10 13:26: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120627.0011.ec.fits[ 1] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 2] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 3] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 4] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 5] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 6] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 7] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 8] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 9] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 10] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 11] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 12] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 13] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 14] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 15] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 16] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 17] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 18] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 19] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 20] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 21] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 22] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 23] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 24] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 25] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 26] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 27] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 28] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 29] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 30] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 31] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 32] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 33] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 34] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 35] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 36] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 37] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 38] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 39] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 40] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 41] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 42] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 43] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 44] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 45] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 46] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 47] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 48] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 49] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 50] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 51] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 52] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 53] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 54] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 55] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 56] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 57] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 58] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 59] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 60] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 61] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 62] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 63] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 64] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 65] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 66] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 67] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 68] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 69] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 70] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 71] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 72] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 73] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 74] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 75] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 76] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 77] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 78] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 79] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 80] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 81] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 82] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 83] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 84] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 85] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 86] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 87] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 88] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 89] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 90] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 91] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 92] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 93] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 94] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 95] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 96] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 97] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 98] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[ 99] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[100] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[101] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[102] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[103] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[104] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[105] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[106] 611.2 1.000 0. 0.009 fitcont120627.0011.ec.fits[107] 611.2 1.000 0. 0.009 Output image = sumfitcont120627.0011.ec.fits, ncombine = 107, exptime = 65401.16 w1 = 3520.244, w2 = 10649.25, dw = 0.04517346, nw = 157815., dtype = 0 288900. fullspec120627.0005.ec.fits,EXPTIME: 288900. -> 2700.0 fullspec120627.0005.ec.fits updated 288900. fullspec120627.0006.ec.fits,EXPTIME: 288900. -> 2700.0 fullspec120627.0006.ec.fits updated 288900. fullspec120627.0007.ec.fits,EXPTIME: 288900. -> 2700.0 fullspec120627.0007.ec.fits updated 192600. fullspec120627.0008.ec.fits,EXPTIME: 192600. -> 1800.0 fullspec120627.0008.ec.fits updated 192600. fullspec120627.0009.ec.fits,EXPTIME: 192600. -> 1800.0 fullspec120627.0009.ec.fits updated 192600. fullspec120627.0010.ec.fits,EXPTIME: 192600. -> 1800.0 fullspec120627.0010.ec.fits updated 65401.16 fullspec120627.0011.ec.fits,EXPTIME: 65401.16 -> 611.225794393 fullspec120627.0011.ec.fits updated ALL DONE! Yay! (=^.^=)