Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 120628.0001.fits,dispaxis = 1 120628.0001.fits updated add 120628.0002.fits,dispaxis = 1 120628.0002.fits updated add 120628.0003.fits,dispaxis = 1 120628.0003.fits updated add 120628.0004.fits,dispaxis = 1 120628.0004.fits updated add 120628.0005.fits,dispaxis = 1 120628.0005.fits updated add Bias.0016.fits,dispaxis = 1 Bias.0016.fits updated add Bias.0017.fits,dispaxis = 1 Bias.0017.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 Flat.0010.fits,dispaxis = 1 Flat.0010.fits updated add Flat.0011.fits,dispaxis = 1 Flat.0011.fits updated add Flat.0012.fits,dispaxis = 1 Flat.0012.fits updated add FlatBlue.0013.fits,dispaxis = 1 FlatBlue.0013.fits updated add FlatBlue.0014.fits,dispaxis = 1 FlatBlue.0014.fits updated add FlatBlue.0015.fits,dispaxis = 1 FlatBlue.0015.fits updated add ThAr.0006.fits,dispaxis = 1 ThAr.0006.fits updated add ThAr.0007.fits,dispaxis = 1 ThAr.0007.fits updated add ThAr.0008.fits,dispaxis = 1 ThAr.0008.fits updated add ThAr.0009.fits,dispaxis = 1 ThAr.0009.fits updated FIXPIX: image Flat.0010.fits with mask echmask.pl FIXPIX: image Flat.0011.fits with mask echmask.pl FIXPIX: image Flat.0012.fits with mask echmask.pl FIXPIX: image FlatBlue.0013.fits with mask echmask.pl FIXPIX: image FlatBlue.0014.fits with mask echmask.pl FIXPIX: image FlatBlue.0015.fits with mask echmask.pl FIXPIX: image 120628.0001.fits with mask echmask.pl FIXPIX: image 120628.0002.fits with mask echmask.pl FIXPIX: image 120628.0003.fits with mask echmask.pl FIXPIX: image 120628.0004.fits with mask echmask.pl FIXPIX: image 120628.0005.fits with mask echmask.pl FIXPIX: image ThAr.0006.fits with mask echmask.pl FIXPIX: image ThAr.0007.fits with mask echmask.pl FIXPIX: image ThAr.0008.fits with mask echmask.pl FIXPIX: image ThAr.0009.fits with mask echmask.pl Dec 10 12:56: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp Bias.0016.fits 0.0 Bias.0017.fits 0.0 Bias.0018.fits 0.9 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 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 120628.0001.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] 120628.0001.fits: Dec 10 12:56 Zero level correction image is bias_fid 120628.0002.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120628.0002.fits: Dec 10 12:56 Zero level correction image is bias_fid 120628.0003.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120628.0003.fits: Dec 10 12:56 Zero level correction image is bias_fid 120628.0004.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120628.0004.fits: Dec 10 12:56 Zero level correction image is bias_fid 120628.0005.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] 120628.0005.fits: Dec 10 12:56 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Flat.0010.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] Flat.0010.fits: Dec 10 12:56 Zero level correction image is bias_fid Flat.0011.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] Flat.0011.fits: Dec 10 12:56 Zero level correction image is bias_fid 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 Calibrating object images and flats (bias, and trimming)... FlatBlue.0013.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] FlatBlue.0013.fits: Dec 10 12:56 Zero level correction image is bias_fid FlatBlue.0014.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] FlatBlue.0014.fits: Dec 10 12:56 Zero level correction image is bias_fid 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 Calibrating ThAr arcs... ThAr.0006.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] ThAr.0006.fits: Dec 10 12:56 Zero level correction image is bias_fid ThAr.0007.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] ThAr.0007.fits: Dec 10 12:56 Zero level correction image is bias_fid ThAr.0008.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] ThAr.0008.fits: Dec 10 12:56 Zero level correction image is bias_fid ThAr.0009.fits: Dec 10 12:56 Trim data section is [200:1850,1:2048] ThAr.0009.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.0013.fits 200.0 FlatBlue.0014.fits 200.0 FlatBlue.0015.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.0010.fits 7.0 Flat.0011.fits 7.0 Flat.0012.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 1634. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1635. Dec 10 12:57: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1636. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1567. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1568. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1647. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1648. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 82. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 81. Dec 10 12:57: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 80. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 97. Dec 10 12:57: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 96. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1559. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1560. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1583. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1584. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1585. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1600. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1601. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1602. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1603. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1604. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1605. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1607. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1608. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 124. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 123. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 96. Dec 10 12:57: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 95. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1544. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1545. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1546. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1568. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1569. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1607. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1608. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1618. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1619. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1642. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1643. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 79. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 78. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 68. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 67. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 38. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 37. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 35. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 34. Dec 10 12:57: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 33. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1485. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1486. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1526. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1527. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1528. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 99. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 98. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 95. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 94. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 48. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 47. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 46. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 38. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 37. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 36. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 17. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 16. Dec 10 12:57: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 15. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 9.316 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.0006.fits Magnify image ThAr.0006.fits to image ThAr.0006.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.0006.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0006.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0007.fits Magnify image ThAr.0007.fits to image ThAr.0007.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.0007.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0007.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0008.fits Magnify image ThAr.0008.fits to image ThAr.0008.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.0008.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0008.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0009.fits Magnify image ThAr.0009.fits to image ThAr.0009.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.0009.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0009.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120628.0001 Magnify image 120628.0001 to image 120628.0001. 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 120628.0001,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120628.0001 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120628.0001 -> noscat120628.0001 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120628.0002 Magnify image 120628.0002 to image 120628.0002. 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 120628.0002,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120628.0002 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120628.0002 -> noscat120628.0002 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120628.0003 Magnify image 120628.0003 to image 120628.0003. 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 120628.0003,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120628.0003 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120628.0003 -> noscat120628.0003 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120628.0004 Magnify image 120628.0004 to image 120628.0004. 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 120628.0004,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120628.0004 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120628.0004 -> noscat120628.0004 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120628.0005 Magnify image 120628.0005 to image 120628.0005. 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 120628.0005,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120628.0005 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120628.0005 -> noscat120628.0005 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add ThAr.0006.ec.fits,REFSPEC1 = ThAr.0006.ec.fits ThAr.0006.ec.fits updated add ThAr.0007.ec.fits,REFSPEC1 = ThAr.0007.ec.fits ThAr.0007.ec.fits updated add ThAr.0008.ec.fits,REFSPEC1 = ThAr.0008.ec.fits ThAr.0008.ec.fits updated add ThAr.0009.ec.fits,REFSPEC1 = ThAr.0009.ec.fits ThAr.0009.ec.fits updated Flatfielding extracted arcs and object spectra... parameter ThAr.0006.ec.fits,UTMIDDLE already exists ThAr.0006.ec.fits updated ThAr.0006.ec.fits,UTMIDDLE: 10:13:38.140 -> 10:14:12.140016 ThAr.0006.ec.fits updated parameter ThAr.0007.ec.fits,UTMIDDLE already exists ThAr.0007.ec.fits updated ThAr.0007.ec.fits,UTMIDDLE: 10:16:30.260 -> 10:17:04.259715 ThAr.0007.ec.fits updated parameter ThAr.0008.ec.fits,UTMIDDLE already exists ThAr.0008.ec.fits updated ThAr.0008.ec.fits,UTMIDDLE: 10:19:32.655 -> 10:20:06.655700 ThAr.0008.ec.fits updated parameter ThAr.0009.ec.fits,UTMIDDLE already exists ThAr.0009.ec.fits updated ThAr.0009.ec.fits,UTMIDDLE: 10:22:35.484 -> 10:23:09.484694 ThAr.0009.ec.fits updated parameter 120628.0001.ec.fits,UTMIDDLE already exists 120628.0001.ec.fits updated 120628.0001.ec.fits,UTMIDDLE: 07:32:07.567 -> 07:32:41.566821 120628.0001.ec.fits updated parameter 120628.0002.ec.fits,UTMIDDLE already exists 120628.0002.ec.fits updated 120628.0002.ec.fits,UTMIDDLE: 08:04:47.257 -> 08:05:21.257062 120628.0002.ec.fits updated parameter 120628.0003.ec.fits,UTMIDDLE already exists 120628.0003.ec.fits updated 120628.0003.ec.fits,UTMIDDLE: 08:37:19.920 -> 08:37:53.919930 120628.0003.ec.fits updated parameter 120628.0004.ec.fits,UTMIDDLE already exists 120628.0004.ec.fits updated 120628.0004.ec.fits,UTMIDDLE: 09:14:47.613 -> 09:15:21.612938 120628.0004.ec.fits updated parameter 120628.0005.ec.fits,UTMIDDLE already exists 120628.0005.ec.fits updated 120628.0005.ec.fits,UTMIDDLE: 09:50:07.660 -> 09:50:41.660750 120628.0005.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 120628.0001.ec.fits 2456107.81437 2456107.81667 2456107 120628.0002.ec.fits 2456107.83705 2456107.83936 2456107 120628.0003.ec.fits 2456107.85965 2456107.86196 2456107 120628.0004.ec.fits 2456107.88567 2456107.88823 2456107 120628.0005.ec.fits 2456107.91020 2456107.91214 2456107 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 13:07:29 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS ThAr.0006.ec 1155/1599 1155/1155 2.88 -20.8 -3.7E-5 0.0128 ThAr.0007.ec 1591/1599 1591/1591 2.86 -20.7 -3.6E-5 0.00667 ThAr.0008.ec 1595/1599 1595/1595 2.88 -20.8 -3.7E-5 0.00761 ThAr.0009.ec 1596/1599 1596/1596 2.88 -20.9 -3.7E-5 0.00583 [120628.0001.ec] refspec1='ThAr.0006.ec' [120628.0002.ec] refspec1='ThAr.0006.ec' [120628.0003.ec] refspec1='ThAr.0006.ec' [120628.0004.ec] refspec1='ThAr.0006.ec' [120628.0005.ec] refspec1='ThAr.0006.ec' [ThAr.0006.ec] refspec1='ThAr.0006.ec' [ThAr.0007.ec] refspec1='ThAr.0007.ec' [ThAr.0008.ec] refspec1='ThAr.0008.ec' [ThAr.0009.ec] refspec1='ThAr.0009.ec' 120628.0001.ec.fits: REFSPEC1 = 'ThAr.0006.ec 1.' 120628.0001.ec.fits: ap = 1, w1 = 10649.17, w2 = 10428.09, dw = -0.13399, nw = 1651 120628.0001.ec.fits: ap = 2, w1 = 10455.56, w2 = 10238.51, dw = -0.13155, nw = 1651 120628.0001.ec.fits: ap = 3, w1 = 10268.87, w2 = 10055.7, dw = -0.12919, nw = 1651 120628.0001.ec.fits: ap = 4, w1 = 10088.73, w2 = 9879.306, dw = -0.12692, nw = 1651 120628.0001.ec.fits: ap = 5, w1 = 9914.8, w2 = 9708.993, dw = -0.12473, nw = 1651 120628.0001.ec.fits: ap = 6, w1 = 9746.766, w2 = 9544.453, dw = -0.12261, nw = 1651 120628.0001.ec.fits: ap = 7, w1 = 9584.333, w2 = 9385.397, dw = -0.12057, nw = 1651 120628.0001.ec.fits: ap = 8, w1 = 9427.225, w2 = 9231.556, dw = -0.11859, nw = 1651 120628.0001.ec.fits: ap = 9, w1 = 9275.186, w2 = 9082.677, dw = -0.11667, nw = 1651 120628.0001.ec.fits: ap = 10, w1 = 9127.972, w2 = 8938.524, dw = -0.11482, nw = 1651 120628.0001.ec.fits: ap = 11, w1 = 8985.36, w2 = 8798.876, dw = -0.11302, nw = 1651 120628.0001.ec.fits: ap = 12, w1 = 8847.135, w2 = 8663.524, dw = -0.11128, nw = 1651 120628.0001.ec.fits: ap = 13, w1 = 8713.099, w2 = 8532.274, dw = -0.10959, nw = 1651 120628.0001.ec.fits: ap = 14, w1 = 8583.064, w2 = 8404.941, dw = -0.10795, nw = 1651 120628.0001.ec.fits: ap = 15, w1 = 8456.853, w2 = 8281.353, dw = -0.10636, nw = 1651 120628.0001.ec.fits: ap = 16, w1 = 8334.301, w2 = 8161.347, dw = -0.10482, nw = 1651 120628.0001.ec.fits: ap = 17, w1 = 8215.25, w2 = 8044.77, dw = -0.10332, nw = 1651 120628.0001.ec.fits: ap = 18, w1 = 8099.553, w2 = 7931.476, dw = -0.10186, nw = 1651 120628.0001.ec.fits: ap = 19, w1 = 7987.069, w2 = 7821.329, dw = -0.10045, nw = 1651 120628.0001.ec.fits: ap = 20, w1 = 7877.667, w2 = 7714.2, dw = -0.09907, nw = 1651 120628.0001.ec.fits: ap = 21, w1 = 7771.222, w2 = 7609.966, dw = -0.09773, nw = 1651 120628.0001.ec.fits: ap = 22, w1 = 7667.616, w2 = 7508.512, dw = -0.09643, nw = 1651 120628.0001.ec.fits: ap = 23, w1 = 7566.736, w2 = 7409.727, dw = -0.09516, nw = 1651 120628.0001.ec.fits: ap = 24, w1 = 7468.476, w2 = 7313.508, dw = -0.09392, nw = 1651 120628.0001.ec.fits: ap = 25, w1 = 7372.736, w2 = 7219.756, dw = -0.09272, nw = 1651 120628.0001.ec.fits: ap = 26, w1 = 7279.419, w2 = 7128.377, dw = -0.09154, nw = 1651 120628.0001.ec.fits: ap = 27, w1 = 7188.436, w2 = 7039.283, dw = -0.0904, nw = 1651 120628.0001.ec.fits: ap = 28, w1 = 7099.699, w2 = 6952.389, dw = -0.08928, nw = 1651 120628.0001.ec.fits: ap = 29, w1 = 7013.126, w2 = 6867.613, dw = -0.08819, nw = 1651 120628.0001.ec.fits: ap = 30, w1 = 6928.639, w2 = 6784.881, dw = -0.08713, nw = 1651 120628.0001.ec.fits: ap = 31, w1 = 6846.164, w2 = 6704.118, dw = -0.08609, nw = 1651 120628.0001.ec.fits: ap = 32, w1 = 6765.63, w2 = 6625.256, dw = -0.08508, nw = 1651 120628.0001.ec.fits: ap = 33, w1 = 6686.969, w2 = 6548.228, dw = -0.08409, nw = 1651 120628.0001.ec.fits: ap = 34, w1 = 6610.115, w2 = 6472.97, dw = -0.08312, nw = 1651 120628.0001.ec.fits: ap = 35, w1 = 6535.009, w2 = 6399.423, dw = -0.08217, nw = 1651 120628.0001.ec.fits: ap = 36, w1 = 6461.59, w2 = 6327.528, dw = -0.08125, nw = 1651 120628.0001.ec.fits: ap = 37, w1 = 6389.803, w2 = 6257.231, dw = -0.08035, nw = 1651 120628.0001.ec.fits: ap = 38, w1 = 6319.594, w2 = 6188.48, dw = -0.07946, nw = 1651 120628.0001.ec.fits: ap = 39, w1 = 6250.911, w2 = 6121.222, dw = -0.0786, nw = 1651 120628.0001.ec.fits: ap = 40, w1 = 6183.705, w2 = 6055.412, dw = -0.07775, nw = 1651 120628.0001.ec.fits: ap = 41, w1 = 6117.929, w2 = 5991.001, dw = -0.07693, nw = 1651 120628.0001.ec.fits: ap = 42, w1 = 6053.538, w2 = 5927.947, dw = -0.07612, nw = 1651 120628.0001.ec.fits: ap = 43, w1 = 5990.489, w2 = 5866.206, dw = -0.07532, nw = 1651 120628.0001.ec.fits: ap = 44, w1 = 5928.739, w2 = 5805.738, dw = -0.07455, nw = 1651 120628.0001.ec.fits: ap = 45, w1 = 5868.25, w2 = 5746.505, dw = -0.07378, nw = 1651 120628.0001.ec.fits: ap = 46, w1 = 5808.982, w2 = 5688.468, dw = -0.07304, nw = 1651 120628.0001.ec.fits: ap = 47, w1 = 5750.901, w2 = 5631.592, dw = -0.07231, nw = 1651 120628.0001.ec.fits: ap = 48, w1 = 5693.969, w2 = 5575.842, dw = -0.07159, nw = 1651 120628.0001.ec.fits: ap = 49, w1 = 5638.154, w2 = 5521.186, dw = -0.07089, nw = 1651 120628.0001.ec.fits: ap = 50, w1 = 5583.422, w2 = 5467.591, dw = -0.0702, nw = 1651 120628.0001.ec.fits: ap = 51, w1 = 5529.743, w2 = 5415.026, dw = -0.06953, nw = 1651 120628.0001.ec.fits: ap = 52, w1 = 5477.087, w2 = 5363.463, dw = -0.06886, nw = 1651 120628.0001.ec.fits: ap = 53, w1 = 5425.424, w2 = 5312.873, dw = -0.06821, nw = 1651 120628.0001.ec.fits: ap = 54, w1 = 5374.727, w2 = 5263.229, dw = -0.06757, nw = 1651 120628.0001.ec.fits: ap = 55, w1 = 5324.969, w2 = 5214.504, dw = -0.06695, nw = 1651 120628.0001.ec.fits: ap = 56, w1 = 5276.124, w2 = 5166.674, dw = -0.06633, nw = 1651 120628.0001.ec.fits: ap = 57, w1 = 5228.167, w2 = 5119.713, dw = -0.06573, nw = 1651 120628.0001.ec.fits: ap = 58, w1 = 5181.074, w2 = 5073.599, dw = -0.06514, nw = 1651 120628.0001.ec.fits: ap = 59, w1 = 5134.823, w2 = 5028.308, dw = -0.06455, nw = 1651 120628.0001.ec.fits: ap = 60, w1 = 5089.39, w2 = 4983.819, dw = -0.06398, nw = 1651 120628.0001.ec.fits: ap = 61, w1 = 5044.754, w2 = 4940.11, dw = -0.06342, nw = 1651 120628.0001.ec.fits: ap = 62, w1 = 5000.894, w2 = 4897.162, dw = -0.06287, nw = 1651 120628.0001.ec.fits: ap = 63, w1 = 4957.791, w2 = 4854.955, dw = -0.06233, nw = 1651 120628.0001.ec.fits: ap = 64, w1 = 4915.425, w2 = 4813.469, dw = -0.06179, nw = 1651 120628.0001.ec.fits: ap = 65, w1 = 4873.777, w2 = 4772.686, dw = -0.06127, nw = 1651 120628.0001.ec.fits: ap = 66, w1 = 4832.828, w2 = 4732.589, dw = -0.06075, nw = 1651 120628.0001.ec.fits: ap = 67, w1 = 4792.563, w2 = 4693.161, dw = -0.06024, nw = 1651 120628.0001.ec.fits: ap = 68, w1 = 4752.963, w2 = 4654.385, dw = -0.05974, nw = 1651 120628.0001.ec.fits: ap = 69, w1 = 4714.012, w2 = 4616.244, dw = -0.05925, nw = 1651 120628.0001.ec.fits: ap = 70, w1 = 4675.695, w2 = 4578.724, dw = -0.05877, nw = 1651 120628.0001.ec.fits: ap = 71, w1 = 4637.996, w2 = 4541.809, dw = -0.05829, nw = 1651 120628.0001.ec.fits: ap = 72, w1 = 4600.9, w2 = 4505.485, dw = -0.05783, nw = 1651 120628.0001.ec.fits: ap = 73, w1 = 4564.393, w2 = 4469.738, dw = -0.05737, nw = 1651 120628.0001.ec.fits: ap = 74, w1 = 4528.461, w2 = 4434.554, dw = -0.05691, nw = 1651 120628.0001.ec.fits: ap = 75, w1 = 4493.091, w2 = 4399.92, dw = -0.05647, nw = 1651 120628.0001.ec.fits: ap = 76, w1 = 4458.269, w2 = 4365.823, dw = -0.05603, nw = 1651 120628.0001.ec.fits: ap = 77, w1 = 4423.983, w2 = 4332.251, dw = -0.05559, nw = 1651 120628.0001.ec.fits: ap = 78, w1 = 4390.22, w2 = 4299.192, dw = -0.05517, nw = 1651 120628.0001.ec.fits: ap = 79, w1 = 4356.969, w2 = 4266.634, dw = -0.05475, nw = 1651 120628.0001.ec.fits: ap = 80, w1 = 4324.218, w2 = 4234.565, dw = -0.05434, nw = 1651 120628.0001.ec.fits: ap = 81, w1 = 4291.957, w2 = 4202.976, dw = -0.05393, nw = 1651 120628.0001.ec.fits: ap = 82, w1 = 4260.173, w2 = 4171.855, dw = -0.05353, nw = 1651 120628.0001.ec.fits: ap = 83, w1 = 4228.856, w2 = 4141.192, dw = -0.05313, nw = 1651 120628.0001.ec.fits: ap = 84, w1 = 4197.997, w2 = 4110.976, dw = -0.05274, nw = 1651 120628.0001.ec.fits: ap = 85, w1 = 4167.586, w2 = 4081.199, dw = -0.05236, nw = 1651 120628.0001.ec.fits: ap = 86, w1 = 4137.612, w2 = 4051.851, dw = -0.05198, nw = 1651 120628.0001.ec.fits: ap = 87, w1 = 4108.066, w2 = 4022.922, dw = -0.0516, nw = 1651 120628.0001.ec.fits: ap = 88, w1 = 4078.94, w2 = 3994.404, dw = -0.05123, nw = 1651 120628.0001.ec.fits: ap = 89, w1 = 4050.223, w2 = 3966.287, dw = -0.05087, nw = 1651 120628.0001.ec.fits: ap = 90, w1 = 4021.909, w2 = 3938.564, dw = -0.05051, nw = 1651 120628.0001.ec.fits: ap = 91, w1 = 3993.988, w2 = 3911.227, dw = -0.05016, nw = 1651 120628.0001.ec.fits: ap = 92, w1 = 3966.452, w2 = 3884.267, dw = -0.04981, nw = 1651 120628.0001.ec.fits: ap = 93, w1 = 3939.294, w2 = 3857.676, dw = -0.04947, nw = 1651 120628.0001.ec.fits: ap = 94, w1 = 3912.505, w2 = 3831.448, dw = -0.04913, nw = 1651 120628.0001.ec.fits: ap = 95, w1 = 3886.078, w2 = 3805.574, dw = -0.04879, nw = 1651 120628.0001.ec.fits: ap = 96, w1 = 3860.006, w2 = 3780.048, dw = -0.04846, nw = 1651 120628.0001.ec.fits: ap = 97, w1 = 3834.282, w2 = 3754.862, dw = -0.04813, nw = 1651 120628.0001.ec.fits: ap = 98, w1 = 3808.899, w2 = 3730.011, dw = -0.04781, nw = 1651 120628.0001.ec.fits: ap = 99, w1 = 3783.849, w2 = 3705.486, dw = -0.04749, nw = 1651 120628.0001.ec.fits: ap = 100, w1 = 3759.128, w2 = 3681.283, dw = -0.04718, nw = 1651 120628.0001.ec.fits: ap = 101, w1 = 3734.727, w2 = 3657.394, dw = -0.04687, nw = 1651 120628.0001.ec.fits: ap = 102, w1 = 3710.642, w2 = 3633.814, dw = -0.04656, nw = 1651 120628.0001.ec.fits: ap = 103, w1 = 3686.865, w2 = 3610.536, dw = -0.04626, nw = 1651 120628.0001.ec.fits: ap = 104, w1 = 3663.392, w2 = 3587.556, dw = -0.04596, nw = 1651 120628.0001.ec.fits: ap = 105, w1 = 3640.215, w2 = 3564.866, dw = -0.04567, nw = 1651 120628.0001.ec.fits: ap = 106, w1 = 3617.331, w2 = 3542.462, dw = -0.04537, nw = 1651 120628.0001.ec.fits: ap = 107, w1 = 3594.732, w2 = 3520.339, dw = -0.04509, nw = 1651 120628.0002.ec.fits: REFSPEC1 = 'ThAr.0006.ec 1.' 120628.0002.ec.fits: ap = 1, w1 = 10649.17, w2 = 10428.09, dw = -0.13399, nw = 1651 120628.0002.ec.fits: ap = 2, w1 = 10455.56, w2 = 10238.51, dw = -0.13155, nw = 1651 120628.0002.ec.fits: ap = 3, w1 = 10268.87, w2 = 10055.7, dw = -0.12919, nw = 1651 120628.0002.ec.fits: ap = 4, w1 = 10088.73, w2 = 9879.306, dw = -0.12692, nw = 1651 120628.0002.ec.fits: ap = 5, w1 = 9914.8, w2 = 9708.993, dw = -0.12473, nw = 1651 120628.0002.ec.fits: ap = 6, w1 = 9746.766, w2 = 9544.453, dw = -0.12261, nw = 1651 120628.0002.ec.fits: ap = 7, w1 = 9584.333, w2 = 9385.397, dw = -0.12057, nw = 1651 120628.0002.ec.fits: ap = 8, w1 = 9427.225, w2 = 9231.556, dw = -0.11859, nw = 1651 120628.0002.ec.fits: ap = 9, w1 = 9275.186, w2 = 9082.677, dw = -0.11667, nw = 1651 120628.0002.ec.fits: ap = 10, w1 = 9127.972, w2 = 8938.524, dw = -0.11482, nw = 1651 120628.0002.ec.fits: ap = 11, w1 = 8985.36, w2 = 8798.876, dw = -0.11302, nw = 1651 120628.0002.ec.fits: ap = 12, w1 = 8847.135, w2 = 8663.524, dw = -0.11128, nw = 1651 120628.0002.ec.fits: ap = 13, w1 = 8713.099, w2 = 8532.274, dw = -0.10959, nw = 1651 120628.0002.ec.fits: ap = 14, w1 = 8583.064, w2 = 8404.941, dw = -0.10795, nw = 1651 120628.0002.ec.fits: ap = 15, w1 = 8456.853, w2 = 8281.353, dw = -0.10636, nw = 1651 120628.0002.ec.fits: ap = 16, w1 = 8334.301, w2 = 8161.347, dw = -0.10482, nw = 1651 120628.0002.ec.fits: ap = 17, w1 = 8215.25, w2 = 8044.77, dw = -0.10332, nw = 1651 120628.0002.ec.fits: ap = 18, w1 = 8099.553, w2 = 7931.476, dw = -0.10186, nw = 1651 120628.0002.ec.fits: ap = 19, w1 = 7987.069, w2 = 7821.329, dw = -0.10045, nw = 1651 120628.0002.ec.fits: ap = 20, w1 = 7877.667, w2 = 7714.2, dw = -0.09907, nw = 1651 120628.0002.ec.fits: ap = 21, w1 = 7771.222, w2 = 7609.966, dw = -0.09773, nw = 1651 120628.0002.ec.fits: ap = 22, w1 = 7667.616, w2 = 7508.512, dw = -0.09643, nw = 1651 120628.0002.ec.fits: ap = 23, w1 = 7566.736, w2 = 7409.727, dw = -0.09516, nw = 1651 120628.0002.ec.fits: ap = 24, w1 = 7468.476, w2 = 7313.508, dw = -0.09392, nw = 1651 120628.0002.ec.fits: ap = 25, w1 = 7372.736, w2 = 7219.756, dw = -0.09272, nw = 1651 120628.0002.ec.fits: ap = 26, w1 = 7279.419, w2 = 7128.377, dw = -0.09154, nw = 1651 120628.0002.ec.fits: ap = 27, w1 = 7188.436, w2 = 7039.283, dw = -0.0904, nw = 1651 120628.0002.ec.fits: ap = 28, w1 = 7099.699, w2 = 6952.389, dw = -0.08928, nw = 1651 120628.0002.ec.fits: ap = 29, w1 = 7013.126, w2 = 6867.613, dw = -0.08819, nw = 1651 120628.0002.ec.fits: ap = 30, w1 = 6928.639, w2 = 6784.881, dw = -0.08713, nw = 1651 120628.0002.ec.fits: ap = 31, w1 = 6846.164, w2 = 6704.118, dw = -0.08609, nw = 1651 120628.0002.ec.fits: ap = 32, w1 = 6765.63, w2 = 6625.256, dw = -0.08508, nw = 1651 120628.0002.ec.fits: ap = 33, w1 = 6686.969, w2 = 6548.228, dw = -0.08409, nw = 1651 120628.0002.ec.fits: ap = 34, w1 = 6610.115, w2 = 6472.97, dw = -0.08312, nw = 1651 120628.0002.ec.fits: ap = 35, w1 = 6535.009, w2 = 6399.423, dw = -0.08217, nw = 1651 120628.0002.ec.fits: ap = 36, w1 = 6461.59, w2 = 6327.528, dw = -0.08125, nw = 1651 120628.0002.ec.fits: ap = 37, w1 = 6389.803, w2 = 6257.231, dw = -0.08035, nw = 1651 120628.0002.ec.fits: ap = 38, w1 = 6319.594, w2 = 6188.48, dw = -0.07946, nw = 1651 120628.0002.ec.fits: ap = 39, w1 = 6250.911, w2 = 6121.222, dw = -0.0786, nw = 1651 120628.0002.ec.fits: ap = 40, w1 = 6183.705, w2 = 6055.412, dw = -0.07775, nw = 1651 120628.0002.ec.fits: ap = 41, w1 = 6117.929, w2 = 5991.001, dw = -0.07693, nw = 1651 120628.0002.ec.fits: ap = 42, w1 = 6053.538, w2 = 5927.947, dw = -0.07612, nw = 1651 120628.0002.ec.fits: ap = 43, w1 = 5990.489, w2 = 5866.206, dw = -0.07532, nw = 1651 120628.0002.ec.fits: ap = 44, w1 = 5928.739, w2 = 5805.738, dw = -0.07455, nw = 1651 120628.0002.ec.fits: ap = 45, w1 = 5868.25, w2 = 5746.505, dw = -0.07378, nw = 1651 120628.0002.ec.fits: ap = 46, w1 = 5808.982, w2 = 5688.468, dw = -0.07304, nw = 1651 120628.0002.ec.fits: ap = 47, w1 = 5750.901, w2 = 5631.592, dw = -0.07231, nw = 1651 120628.0002.ec.fits: ap = 48, w1 = 5693.969, w2 = 5575.842, dw = -0.07159, nw = 1651 120628.0002.ec.fits: ap = 49, w1 = 5638.154, w2 = 5521.186, dw = -0.07089, nw = 1651 120628.0002.ec.fits: ap = 50, w1 = 5583.422, w2 = 5467.591, dw = -0.0702, nw = 1651 120628.0002.ec.fits: ap = 51, w1 = 5529.743, w2 = 5415.026, dw = -0.06953, nw = 1651 120628.0002.ec.fits: ap = 52, w1 = 5477.087, w2 = 5363.463, dw = -0.06886, nw = 1651 120628.0002.ec.fits: ap = 53, w1 = 5425.424, w2 = 5312.873, dw = -0.06821, nw = 1651 120628.0002.ec.fits: ap = 54, w1 = 5374.727, w2 = 5263.229, dw = -0.06757, nw = 1651 120628.0002.ec.fits: ap = 55, w1 = 5324.969, w2 = 5214.504, dw = -0.06695, nw = 1651 120628.0002.ec.fits: ap = 56, w1 = 5276.124, w2 = 5166.674, dw = -0.06633, nw = 1651 120628.0002.ec.fits: ap = 57, w1 = 5228.167, w2 = 5119.713, dw = -0.06573, nw = 1651 120628.0002.ec.fits: ap = 58, w1 = 5181.074, w2 = 5073.599, dw = -0.06514, nw = 1651 120628.0002.ec.fits: ap = 59, w1 = 5134.823, w2 = 5028.308, dw = -0.06455, nw = 1651 120628.0002.ec.fits: ap = 60, w1 = 5089.39, w2 = 4983.819, dw = -0.06398, nw = 1651 120628.0002.ec.fits: ap = 61, w1 = 5044.754, w2 = 4940.11, dw = -0.06342, nw = 1651 120628.0002.ec.fits: ap = 62, w1 = 5000.894, w2 = 4897.162, dw = -0.06287, nw = 1651 120628.0002.ec.fits: ap = 63, w1 = 4957.791, w2 = 4854.955, dw = -0.06233, nw = 1651 120628.0002.ec.fits: ap = 64, w1 = 4915.425, w2 = 4813.469, dw = -0.06179, nw = 1651 120628.0002.ec.fits: ap = 65, w1 = 4873.777, w2 = 4772.686, dw = -0.06127, nw = 1651 120628.0002.ec.fits: ap = 66, w1 = 4832.828, w2 = 4732.589, dw = -0.06075, nw = 1651 120628.0002.ec.fits: ap = 67, w1 = 4792.563, w2 = 4693.161, dw = -0.06024, nw = 1651 120628.0002.ec.fits: ap = 68, w1 = 4752.963, w2 = 4654.385, dw = -0.05974, nw = 1651 120628.0002.ec.fits: ap = 69, w1 = 4714.012, w2 = 4616.244, dw = -0.05925, nw = 1651 120628.0002.ec.fits: ap = 70, w1 = 4675.695, w2 = 4578.724, dw = -0.05877, nw = 1651 120628.0002.ec.fits: ap = 71, w1 = 4637.996, w2 = 4541.809, dw = -0.05829, nw = 1651 120628.0002.ec.fits: ap = 72, w1 = 4600.9, w2 = 4505.485, dw = -0.05783, nw = 1651 120628.0002.ec.fits: ap = 73, w1 = 4564.393, w2 = 4469.738, dw = -0.05737, nw = 1651 120628.0002.ec.fits: ap = 74, w1 = 4528.461, w2 = 4434.554, dw = -0.05691, nw = 1651 120628.0002.ec.fits: ap = 75, w1 = 4493.091, w2 = 4399.92, dw = -0.05647, nw = 1651 120628.0002.ec.fits: ap = 76, w1 = 4458.269, w2 = 4365.823, dw = -0.05603, nw = 1651 120628.0002.ec.fits: ap = 77, w1 = 4423.983, w2 = 4332.251, dw = -0.05559, nw = 1651 120628.0002.ec.fits: ap = 78, w1 = 4390.22, w2 = 4299.192, dw = -0.05517, nw = 1651 120628.0002.ec.fits: ap = 79, w1 = 4356.969, w2 = 4266.634, dw = -0.05475, nw = 1651 120628.0002.ec.fits: ap = 80, w1 = 4324.218, w2 = 4234.565, dw = -0.05434, nw = 1651 120628.0002.ec.fits: ap = 81, w1 = 4291.957, w2 = 4202.976, dw = -0.05393, nw = 1651 120628.0002.ec.fits: ap = 82, w1 = 4260.173, w2 = 4171.855, dw = -0.05353, nw = 1651 120628.0002.ec.fits: ap = 83, w1 = 4228.856, w2 = 4141.192, dw = -0.05313, nw = 1651 120628.0002.ec.fits: ap = 84, w1 = 4197.997, w2 = 4110.976, dw = -0.05274, nw = 1651 120628.0002.ec.fits: ap = 85, w1 = 4167.586, w2 = 4081.199, dw = -0.05236, nw = 1651 120628.0002.ec.fits: ap = 86, w1 = 4137.612, w2 = 4051.851, dw = -0.05198, nw = 1651 120628.0002.ec.fits: ap = 87, w1 = 4108.066, w2 = 4022.922, dw = -0.0516, nw = 1651 120628.0002.ec.fits: ap = 88, w1 = 4078.94, w2 = 3994.404, dw = -0.05123, nw = 1651 120628.0002.ec.fits: ap = 89, w1 = 4050.223, w2 = 3966.287, dw = -0.05087, nw = 1651 120628.0002.ec.fits: ap = 90, w1 = 4021.909, w2 = 3938.564, dw = -0.05051, nw = 1651 120628.0002.ec.fits: ap = 91, w1 = 3993.988, w2 = 3911.227, dw = -0.05016, nw = 1651 120628.0002.ec.fits: ap = 92, w1 = 3966.452, w2 = 3884.267, dw = -0.04981, nw = 1651 120628.0002.ec.fits: ap = 93, w1 = 3939.294, w2 = 3857.676, dw = -0.04947, nw = 1651 120628.0002.ec.fits: ap = 94, w1 = 3912.505, w2 = 3831.448, dw = -0.04913, nw = 1651 120628.0002.ec.fits: ap = 95, w1 = 3886.078, w2 = 3805.574, dw = -0.04879, nw = 1651 120628.0002.ec.fits: ap = 96, w1 = 3860.006, w2 = 3780.048, dw = -0.04846, nw = 1651 120628.0002.ec.fits: ap = 97, w1 = 3834.282, w2 = 3754.862, dw = -0.04813, nw = 1651 120628.0002.ec.fits: ap = 98, w1 = 3808.899, w2 = 3730.011, dw = -0.04781, nw = 1651 120628.0002.ec.fits: ap = 99, w1 = 3783.849, w2 = 3705.486, dw = -0.04749, nw = 1651 120628.0002.ec.fits: ap = 100, w1 = 3759.128, w2 = 3681.283, dw = -0.04718, nw = 1651 120628.0002.ec.fits: ap = 101, w1 = 3734.727, w2 = 3657.394, dw = -0.04687, nw = 1651 120628.0002.ec.fits: ap = 102, w1 = 3710.642, w2 = 3633.814, dw = -0.04656, nw = 1651 120628.0002.ec.fits: ap = 103, w1 = 3686.865, w2 = 3610.536, dw = -0.04626, nw = 1651 120628.0002.ec.fits: ap = 104, w1 = 3663.392, w2 = 3587.556, dw = -0.04596, nw = 1651 120628.0002.ec.fits: ap = 105, w1 = 3640.215, w2 = 3564.866, dw = -0.04567, nw = 1651 120628.0002.ec.fits: ap = 106, w1 = 3617.331, w2 = 3542.462, dw = -0.04537, nw = 1651 120628.0002.ec.fits: ap = 107, w1 = 3594.732, w2 = 3520.339, dw = -0.04509, nw = 1651 120628.0003.ec.fits: REFSPEC1 = 'ThAr.0006.ec 1.' 120628.0003.ec.fits: ap = 1, w1 = 10649.17, w2 = 10428.09, dw = -0.13399, nw = 1651 120628.0003.ec.fits: ap = 2, w1 = 10455.56, w2 = 10238.51, dw = -0.13155, nw = 1651 120628.0003.ec.fits: ap = 3, w1 = 10268.87, w2 = 10055.7, dw = -0.12919, nw = 1651 120628.0003.ec.fits: ap = 4, w1 = 10088.73, w2 = 9879.306, dw = -0.12692, nw = 1651 120628.0003.ec.fits: ap = 5, w1 = 9914.8, w2 = 9708.993, dw = -0.12473, nw = 1651 120628.0003.ec.fits: ap = 6, w1 = 9746.766, w2 = 9544.453, dw = -0.12261, nw = 1651 120628.0003.ec.fits: ap = 7, w1 = 9584.333, w2 = 9385.397, dw = -0.12057, nw = 1651 120628.0003.ec.fits: ap = 8, w1 = 9427.225, w2 = 9231.556, dw = -0.11859, nw = 1651 120628.0003.ec.fits: ap = 9, w1 = 9275.186, w2 = 9082.677, dw = -0.11667, nw = 1651 120628.0003.ec.fits: ap = 10, w1 = 9127.972, w2 = 8938.524, dw = -0.11482, nw = 1651 120628.0003.ec.fits: ap = 11, w1 = 8985.36, w2 = 8798.876, dw = -0.11302, nw = 1651 120628.0003.ec.fits: ap = 12, w1 = 8847.135, w2 = 8663.524, dw = -0.11128, nw = 1651 120628.0003.ec.fits: ap = 13, w1 = 8713.099, w2 = 8532.274, dw = -0.10959, nw = 1651 120628.0003.ec.fits: ap = 14, w1 = 8583.064, w2 = 8404.941, dw = -0.10795, nw = 1651 120628.0003.ec.fits: ap = 15, w1 = 8456.853, w2 = 8281.353, dw = -0.10636, nw = 1651 120628.0003.ec.fits: ap = 16, w1 = 8334.301, w2 = 8161.347, dw = -0.10482, nw = 1651 120628.0003.ec.fits: ap = 17, w1 = 8215.25, w2 = 8044.77, dw = -0.10332, nw = 1651 120628.0003.ec.fits: ap = 18, w1 = 8099.553, w2 = 7931.476, dw = -0.10186, nw = 1651 120628.0003.ec.fits: ap = 19, w1 = 7987.069, w2 = 7821.329, dw = -0.10045, nw = 1651 120628.0003.ec.fits: ap = 20, w1 = 7877.667, w2 = 7714.2, dw = -0.09907, nw = 1651 120628.0003.ec.fits: ap = 21, w1 = 7771.222, w2 = 7609.966, dw = -0.09773, nw = 1651 120628.0003.ec.fits: ap = 22, w1 = 7667.616, w2 = 7508.512, dw = -0.09643, nw = 1651 120628.0003.ec.fits: ap = 23, w1 = 7566.736, w2 = 7409.727, dw = -0.09516, nw = 1651 120628.0003.ec.fits: ap = 24, w1 = 7468.476, w2 = 7313.508, dw = -0.09392, nw = 1651 120628.0003.ec.fits: ap = 25, w1 = 7372.736, w2 = 7219.756, dw = -0.09272, nw = 1651 120628.0003.ec.fits: ap = 26, w1 = 7279.419, w2 = 7128.377, dw = -0.09154, nw = 1651 120628.0003.ec.fits: ap = 27, w1 = 7188.436, w2 = 7039.283, dw = -0.0904, nw = 1651 120628.0003.ec.fits: ap = 28, w1 = 7099.699, w2 = 6952.389, dw = -0.08928, nw = 1651 120628.0003.ec.fits: ap = 29, w1 = 7013.126, w2 = 6867.613, dw = -0.08819, nw = 1651 120628.0003.ec.fits: ap = 30, w1 = 6928.639, w2 = 6784.881, dw = -0.08713, nw = 1651 120628.0003.ec.fits: ap = 31, w1 = 6846.164, w2 = 6704.118, dw = -0.08609, nw = 1651 120628.0003.ec.fits: ap = 32, w1 = 6765.63, w2 = 6625.256, dw = -0.08508, nw = 1651 120628.0003.ec.fits: ap = 33, w1 = 6686.969, w2 = 6548.228, dw = -0.08409, nw = 1651 120628.0003.ec.fits: ap = 34, w1 = 6610.115, w2 = 6472.97, dw = -0.08312, nw = 1651 120628.0003.ec.fits: ap = 35, w1 = 6535.009, w2 = 6399.423, dw = -0.08217, nw = 1651 120628.0003.ec.fits: ap = 36, w1 = 6461.59, w2 = 6327.528, dw = -0.08125, nw = 1651 120628.0003.ec.fits: ap = 37, w1 = 6389.803, w2 = 6257.231, dw = -0.08035, nw = 1651 120628.0003.ec.fits: ap = 38, w1 = 6319.594, w2 = 6188.48, dw = -0.07946, nw = 1651 120628.0003.ec.fits: ap = 39, w1 = 6250.911, w2 = 6121.222, dw = -0.0786, nw = 1651 120628.0003.ec.fits: ap = 40, w1 = 6183.705, w2 = 6055.412, dw = -0.07775, nw = 1651 120628.0003.ec.fits: ap = 41, w1 = 6117.929, w2 = 5991.001, dw = -0.07693, nw = 1651 120628.0003.ec.fits: ap = 42, w1 = 6053.538, w2 = 5927.947, dw = -0.07612, nw = 1651 120628.0003.ec.fits: ap = 43, w1 = 5990.489, w2 = 5866.206, dw = -0.07532, nw = 1651 120628.0003.ec.fits: ap = 44, w1 = 5928.739, w2 = 5805.738, dw = -0.07455, nw = 1651 120628.0003.ec.fits: ap = 45, w1 = 5868.25, w2 = 5746.505, dw = -0.07378, nw = 1651 120628.0003.ec.fits: ap = 46, w1 = 5808.982, w2 = 5688.468, dw = -0.07304, nw = 1651 120628.0003.ec.fits: ap = 47, w1 = 5750.901, w2 = 5631.592, dw = -0.07231, nw = 1651 120628.0003.ec.fits: ap = 48, w1 = 5693.969, w2 = 5575.842, dw = -0.07159, nw = 1651 120628.0003.ec.fits: ap = 49, w1 = 5638.154, w2 = 5521.186, dw = -0.07089, nw = 1651 120628.0003.ec.fits: ap = 50, w1 = 5583.422, w2 = 5467.591, dw = -0.0702, nw = 1651 120628.0003.ec.fits: ap = 51, w1 = 5529.743, w2 = 5415.026, dw = -0.06953, nw = 1651 120628.0003.ec.fits: ap = 52, w1 = 5477.087, w2 = 5363.463, dw = -0.06886, nw = 1651 120628.0003.ec.fits: ap = 53, w1 = 5425.424, w2 = 5312.873, dw = -0.06821, nw = 1651 120628.0003.ec.fits: ap = 54, w1 = 5374.727, w2 = 5263.229, dw = -0.06757, nw = 1651 120628.0003.ec.fits: ap = 55, w1 = 5324.969, w2 = 5214.504, dw = -0.06695, nw = 1651 120628.0003.ec.fits: ap = 56, w1 = 5276.124, w2 = 5166.674, dw = -0.06633, nw = 1651 120628.0003.ec.fits: ap = 57, w1 = 5228.167, w2 = 5119.713, dw = -0.06573, nw = 1651 120628.0003.ec.fits: ap = 58, w1 = 5181.074, w2 = 5073.599, dw = -0.06514, nw = 1651 120628.0003.ec.fits: ap = 59, w1 = 5134.823, w2 = 5028.308, dw = -0.06455, nw = 1651 120628.0003.ec.fits: ap = 60, w1 = 5089.39, w2 = 4983.819, dw = -0.06398, nw = 1651 120628.0003.ec.fits: ap = 61, w1 = 5044.754, w2 = 4940.11, dw = -0.06342, nw = 1651 120628.0003.ec.fits: ap = 62, w1 = 5000.894, w2 = 4897.162, dw = -0.06287, nw = 1651 120628.0003.ec.fits: ap = 63, w1 = 4957.791, w2 = 4854.955, dw = -0.06233, nw = 1651 120628.0003.ec.fits: ap = 64, w1 = 4915.425, w2 = 4813.469, dw = -0.06179, nw = 1651 120628.0003.ec.fits: ap = 65, w1 = 4873.777, w2 = 4772.686, dw = -0.06127, nw = 1651 120628.0003.ec.fits: ap = 66, w1 = 4832.828, w2 = 4732.589, dw = -0.06075, nw = 1651 120628.0003.ec.fits: ap = 67, w1 = 4792.563, w2 = 4693.161, dw = -0.06024, nw = 1651 120628.0003.ec.fits: ap = 68, w1 = 4752.963, w2 = 4654.385, dw = -0.05974, nw = 1651 120628.0003.ec.fits: ap = 69, w1 = 4714.012, w2 = 4616.244, dw = -0.05925, nw = 1651 120628.0003.ec.fits: ap = 70, w1 = 4675.695, w2 = 4578.724, dw = -0.05877, nw = 1651 120628.0003.ec.fits: ap = 71, w1 = 4637.996, w2 = 4541.809, dw = -0.05829, nw = 1651 120628.0003.ec.fits: ap = 72, w1 = 4600.9, w2 = 4505.485, dw = -0.05783, nw = 1651 120628.0003.ec.fits: ap = 73, w1 = 4564.393, w2 = 4469.738, dw = -0.05737, nw = 1651 120628.0003.ec.fits: ap = 74, w1 = 4528.461, w2 = 4434.554, dw = -0.05691, nw = 1651 120628.0003.ec.fits: ap = 75, w1 = 4493.091, w2 = 4399.92, dw = -0.05647, nw = 1651 120628.0003.ec.fits: ap = 76, w1 = 4458.269, w2 = 4365.823, dw = -0.05603, nw = 1651 120628.0003.ec.fits: ap = 77, w1 = 4423.983, w2 = 4332.251, dw = -0.05559, nw = 1651 120628.0003.ec.fits: ap = 78, w1 = 4390.22, w2 = 4299.192, dw = -0.05517, nw = 1651 120628.0003.ec.fits: ap = 79, w1 = 4356.969, w2 = 4266.634, dw = -0.05475, nw = 1651 120628.0003.ec.fits: ap = 80, w1 = 4324.218, w2 = 4234.565, dw = -0.05434, nw = 1651 120628.0003.ec.fits: ap = 81, w1 = 4291.957, w2 = 4202.976, dw = -0.05393, nw = 1651 120628.0003.ec.fits: ap = 82, w1 = 4260.173, w2 = 4171.855, dw = -0.05353, nw = 1651 120628.0003.ec.fits: ap = 83, w1 = 4228.856, w2 = 4141.192, dw = -0.05313, nw = 1651 120628.0003.ec.fits: ap = 84, w1 = 4197.997, w2 = 4110.976, dw = -0.05274, nw = 1651 120628.0003.ec.fits: ap = 85, w1 = 4167.586, w2 = 4081.199, dw = -0.05236, nw = 1651 120628.0003.ec.fits: ap = 86, w1 = 4137.612, w2 = 4051.851, dw = -0.05198, nw = 1651 120628.0003.ec.fits: ap = 87, w1 = 4108.066, w2 = 4022.922, dw = -0.0516, nw = 1651 120628.0003.ec.fits: ap = 88, w1 = 4078.94, w2 = 3994.404, dw = -0.05123, nw = 1651 120628.0003.ec.fits: ap = 89, w1 = 4050.223, w2 = 3966.287, dw = -0.05087, nw = 1651 120628.0003.ec.fits: ap = 90, w1 = 4021.909, w2 = 3938.564, dw = -0.05051, nw = 1651 120628.0003.ec.fits: ap = 91, w1 = 3993.988, w2 = 3911.227, dw = -0.05016, nw = 1651 120628.0003.ec.fits: ap = 92, w1 = 3966.452, w2 = 3884.267, dw = -0.04981, nw = 1651 120628.0003.ec.fits: ap = 93, w1 = 3939.294, w2 = 3857.676, dw = -0.04947, nw = 1651 120628.0003.ec.fits: ap = 94, w1 = 3912.505, w2 = 3831.448, dw = -0.04913, nw = 1651 120628.0003.ec.fits: ap = 95, w1 = 3886.078, w2 = 3805.574, dw = -0.04879, nw = 1651 120628.0003.ec.fits: ap = 96, w1 = 3860.006, w2 = 3780.048, dw = -0.04846, nw = 1651 120628.0003.ec.fits: ap = 97, w1 = 3834.282, w2 = 3754.862, dw = -0.04813, nw = 1651 120628.0003.ec.fits: ap = 98, w1 = 3808.899, w2 = 3730.011, dw = -0.04781, nw = 1651 120628.0003.ec.fits: ap = 99, w1 = 3783.849, w2 = 3705.486, dw = -0.04749, nw = 1651 120628.0003.ec.fits: ap = 100, w1 = 3759.128, w2 = 3681.283, dw = -0.04718, nw = 1651 120628.0003.ec.fits: ap = 101, w1 = 3734.727, w2 = 3657.394, dw = -0.04687, nw = 1651 120628.0003.ec.fits: ap = 102, w1 = 3710.642, w2 = 3633.814, dw = -0.04656, nw = 1651 120628.0003.ec.fits: ap = 103, w1 = 3686.865, w2 = 3610.536, dw = -0.04626, nw = 1651 120628.0003.ec.fits: ap = 104, w1 = 3663.392, w2 = 3587.556, dw = -0.04596, nw = 1651 120628.0003.ec.fits: ap = 105, w1 = 3640.215, w2 = 3564.866, dw = -0.04567, nw = 1651 120628.0003.ec.fits: ap = 106, w1 = 3617.331, w2 = 3542.462, dw = -0.04537, nw = 1651 120628.0003.ec.fits: ap = 107, w1 = 3594.732, w2 = 3520.339, dw = -0.04509, nw = 1651 120628.0004.ec.fits: REFSPEC1 = 'ThAr.0006.ec 1.' 120628.0004.ec.fits: ap = 1, w1 = 10649.17, w2 = 10428.09, dw = -0.13399, nw = 1651 120628.0004.ec.fits: ap = 2, w1 = 10455.56, w2 = 10238.51, dw = -0.13155, nw = 1651 120628.0004.ec.fits: ap = 3, w1 = 10268.87, w2 = 10055.7, dw = -0.12919, nw = 1651 120628.0004.ec.fits: ap = 4, w1 = 10088.73, w2 = 9879.306, dw = -0.12692, nw = 1651 120628.0004.ec.fits: ap = 5, w1 = 9914.8, w2 = 9708.993, dw = -0.12473, nw = 1651 120628.0004.ec.fits: ap = 6, w1 = 9746.766, w2 = 9544.453, dw = -0.12261, nw = 1651 120628.0004.ec.fits: ap = 7, w1 = 9584.333, w2 = 9385.397, dw = -0.12057, nw = 1651 120628.0004.ec.fits: ap = 8, w1 = 9427.225, w2 = 9231.556, dw = -0.11859, nw = 1651 120628.0004.ec.fits: ap = 9, w1 = 9275.186, w2 = 9082.677, dw = -0.11667, nw = 1651 120628.0004.ec.fits: ap = 10, w1 = 9127.972, w2 = 8938.524, dw = -0.11482, nw = 1651 120628.0004.ec.fits: ap = 11, w1 = 8985.36, w2 = 8798.876, dw = -0.11302, nw = 1651 120628.0004.ec.fits: ap = 12, w1 = 8847.135, w2 = 8663.524, dw = -0.11128, nw = 1651 120628.0004.ec.fits: ap = 13, w1 = 8713.099, w2 = 8532.274, dw = -0.10959, nw = 1651 120628.0004.ec.fits: ap = 14, w1 = 8583.064, w2 = 8404.941, dw = -0.10795, nw = 1651 120628.0004.ec.fits: ap = 15, w1 = 8456.853, w2 = 8281.353, dw = -0.10636, nw = 1651 120628.0004.ec.fits: ap = 16, w1 = 8334.301, w2 = 8161.347, dw = -0.10482, nw = 1651 120628.0004.ec.fits: ap = 17, w1 = 8215.25, w2 = 8044.77, dw = -0.10332, nw = 1651 120628.0004.ec.fits: ap = 18, w1 = 8099.553, w2 = 7931.476, dw = -0.10186, nw = 1651 120628.0004.ec.fits: ap = 19, w1 = 7987.069, w2 = 7821.329, dw = -0.10045, nw = 1651 120628.0004.ec.fits: ap = 20, w1 = 7877.667, w2 = 7714.2, dw = -0.09907, nw = 1651 120628.0004.ec.fits: ap = 21, w1 = 7771.222, w2 = 7609.966, dw = -0.09773, nw = 1651 120628.0004.ec.fits: ap = 22, w1 = 7667.616, w2 = 7508.512, dw = -0.09643, nw = 1651 120628.0004.ec.fits: ap = 23, w1 = 7566.736, w2 = 7409.727, dw = -0.09516, nw = 1651 120628.0004.ec.fits: ap = 24, w1 = 7468.476, w2 = 7313.508, dw = -0.09392, nw = 1651 120628.0004.ec.fits: ap = 25, w1 = 7372.736, w2 = 7219.756, dw = -0.09272, nw = 1651 120628.0004.ec.fits: ap = 26, w1 = 7279.419, w2 = 7128.377, dw = -0.09154, nw = 1651 120628.0004.ec.fits: ap = 27, w1 = 7188.436, w2 = 7039.283, dw = -0.0904, nw = 1651 120628.0004.ec.fits: ap = 28, w1 = 7099.699, w2 = 6952.389, dw = -0.08928, nw = 1651 120628.0004.ec.fits: ap = 29, w1 = 7013.126, w2 = 6867.613, dw = -0.08819, nw = 1651 120628.0004.ec.fits: ap = 30, w1 = 6928.639, w2 = 6784.881, dw = -0.08713, nw = 1651 120628.0004.ec.fits: ap = 31, w1 = 6846.164, w2 = 6704.118, dw = -0.08609, nw = 1651 120628.0004.ec.fits: ap = 32, w1 = 6765.63, w2 = 6625.256, dw = -0.08508, nw = 1651 120628.0004.ec.fits: ap = 33, w1 = 6686.969, w2 = 6548.228, dw = -0.08409, nw = 1651 120628.0004.ec.fits: ap = 34, w1 = 6610.115, w2 = 6472.97, dw = -0.08312, nw = 1651 120628.0004.ec.fits: ap = 35, w1 = 6535.009, w2 = 6399.423, dw = -0.08217, nw = 1651 120628.0004.ec.fits: ap = 36, w1 = 6461.59, w2 = 6327.528, dw = -0.08125, nw = 1651 120628.0004.ec.fits: ap = 37, w1 = 6389.803, w2 = 6257.231, dw = -0.08035, nw = 1651 120628.0004.ec.fits: ap = 38, w1 = 6319.594, w2 = 6188.48, dw = -0.07946, nw = 1651 120628.0004.ec.fits: ap = 39, w1 = 6250.911, w2 = 6121.222, dw = -0.0786, nw = 1651 120628.0004.ec.fits: ap = 40, w1 = 6183.705, w2 = 6055.412, dw = -0.07775, nw = 1651 120628.0004.ec.fits: ap = 41, w1 = 6117.929, w2 = 5991.001, dw = -0.07693, nw = 1651 120628.0004.ec.fits: ap = 42, w1 = 6053.538, w2 = 5927.947, dw = -0.07612, nw = 1651 120628.0004.ec.fits: ap = 43, w1 = 5990.489, w2 = 5866.206, dw = -0.07532, nw = 1651 120628.0004.ec.fits: ap = 44, w1 = 5928.739, w2 = 5805.738, dw = -0.07455, nw = 1651 120628.0004.ec.fits: ap = 45, w1 = 5868.25, w2 = 5746.505, dw = -0.07378, nw = 1651 120628.0004.ec.fits: ap = 46, w1 = 5808.982, w2 = 5688.468, dw = -0.07304, nw = 1651 120628.0004.ec.fits: ap = 47, w1 = 5750.901, w2 = 5631.592, dw = -0.07231, nw = 1651 120628.0004.ec.fits: ap = 48, w1 = 5693.969, w2 = 5575.842, dw = -0.07159, nw = 1651 120628.0004.ec.fits: ap = 49, w1 = 5638.154, w2 = 5521.186, dw = -0.07089, nw = 1651 120628.0004.ec.fits: ap = 50, w1 = 5583.422, w2 = 5467.591, dw = -0.0702, nw = 1651 120628.0004.ec.fits: ap = 51, w1 = 5529.743, w2 = 5415.026, dw = -0.06953, nw = 1651 120628.0004.ec.fits: ap = 52, w1 = 5477.087, w2 = 5363.463, dw = -0.06886, nw = 1651 120628.0004.ec.fits: ap = 53, w1 = 5425.424, w2 = 5312.873, dw = -0.06821, nw = 1651 120628.0004.ec.fits: ap = 54, w1 = 5374.727, w2 = 5263.229, dw = -0.06757, nw = 1651 120628.0004.ec.fits: ap = 55, w1 = 5324.969, w2 = 5214.504, dw = -0.06695, nw = 1651 120628.0004.ec.fits: ap = 56, w1 = 5276.124, w2 = 5166.674, dw = -0.06633, nw = 1651 120628.0004.ec.fits: ap = 57, w1 = 5228.167, w2 = 5119.713, dw = -0.06573, nw = 1651 120628.0004.ec.fits: ap = 58, w1 = 5181.074, w2 = 5073.599, dw = -0.06514, nw = 1651 120628.0004.ec.fits: ap = 59, w1 = 5134.823, w2 = 5028.308, dw = -0.06455, nw = 1651 120628.0004.ec.fits: ap = 60, w1 = 5089.39, w2 = 4983.819, dw = -0.06398, nw = 1651 120628.0004.ec.fits: ap = 61, w1 = 5044.754, w2 = 4940.11, dw = -0.06342, nw = 1651 120628.0004.ec.fits: ap = 62, w1 = 5000.894, w2 = 4897.162, dw = -0.06287, nw = 1651 120628.0004.ec.fits: ap = 63, w1 = 4957.791, w2 = 4854.955, dw = -0.06233, nw = 1651 120628.0004.ec.fits: ap = 64, w1 = 4915.425, w2 = 4813.469, dw = -0.06179, nw = 1651 120628.0004.ec.fits: ap = 65, w1 = 4873.777, w2 = 4772.686, dw = -0.06127, nw = 1651 120628.0004.ec.fits: ap = 66, w1 = 4832.828, w2 = 4732.589, dw = -0.06075, nw = 1651 120628.0004.ec.fits: ap = 67, w1 = 4792.563, w2 = 4693.161, dw = -0.06024, nw = 1651 120628.0004.ec.fits: ap = 68, w1 = 4752.963, w2 = 4654.385, dw = -0.05974, nw = 1651 120628.0004.ec.fits: ap = 69, w1 = 4714.012, w2 = 4616.244, dw = -0.05925, nw = 1651 120628.0004.ec.fits: ap = 70, w1 = 4675.695, w2 = 4578.724, dw = -0.05877, nw = 1651 120628.0004.ec.fits: ap = 71, w1 = 4637.996, w2 = 4541.809, dw = -0.05829, nw = 1651 120628.0004.ec.fits: ap = 72, w1 = 4600.9, w2 = 4505.485, dw = -0.05783, nw = 1651 120628.0004.ec.fits: ap = 73, w1 = 4564.393, w2 = 4469.738, dw = -0.05737, nw = 1651 120628.0004.ec.fits: ap = 74, w1 = 4528.461, w2 = 4434.554, dw = -0.05691, nw = 1651 120628.0004.ec.fits: ap = 75, w1 = 4493.091, w2 = 4399.92, dw = -0.05647, nw = 1651 120628.0004.ec.fits: ap = 76, w1 = 4458.269, w2 = 4365.823, dw = -0.05603, nw = 1651 120628.0004.ec.fits: ap = 77, w1 = 4423.983, w2 = 4332.251, dw = -0.05559, nw = 1651 120628.0004.ec.fits: ap = 78, w1 = 4390.22, w2 = 4299.192, dw = -0.05517, nw = 1651 120628.0004.ec.fits: ap = 79, w1 = 4356.969, w2 = 4266.634, dw = -0.05475, nw = 1651 120628.0004.ec.fits: ap = 80, w1 = 4324.218, w2 = 4234.565, dw = -0.05434, nw = 1651 120628.0004.ec.fits: ap = 81, w1 = 4291.957, w2 = 4202.976, dw = -0.05393, nw = 1651 120628.0004.ec.fits: ap = 82, w1 = 4260.173, w2 = 4171.855, dw = -0.05353, nw = 1651 120628.0004.ec.fits: ap = 83, w1 = 4228.856, w2 = 4141.192, dw = -0.05313, nw = 1651 120628.0004.ec.fits: ap = 84, w1 = 4197.997, w2 = 4110.976, dw = -0.05274, nw = 1651 120628.0004.ec.fits: ap = 85, w1 = 4167.586, w2 = 4081.199, dw = -0.05236, nw = 1651 120628.0004.ec.fits: ap = 86, w1 = 4137.612, w2 = 4051.851, dw = -0.05198, nw = 1651 120628.0004.ec.fits: ap = 87, w1 = 4108.066, w2 = 4022.922, dw = -0.0516, nw = 1651 120628.0004.ec.fits: ap = 88, w1 = 4078.94, w2 = 3994.404, dw = -0.05123, nw = 1651 120628.0004.ec.fits: ap = 89, w1 = 4050.223, w2 = 3966.287, dw = -0.05087, nw = 1651 120628.0004.ec.fits: ap = 90, w1 = 4021.909, w2 = 3938.564, dw = -0.05051, nw = 1651 120628.0004.ec.fits: ap = 91, w1 = 3993.988, w2 = 3911.227, dw = -0.05016, nw = 1651 120628.0004.ec.fits: ap = 92, w1 = 3966.452, w2 = 3884.267, dw = -0.04981, nw = 1651 120628.0004.ec.fits: ap = 93, w1 = 3939.294, w2 = 3857.676, dw = -0.04947, nw = 1651 120628.0004.ec.fits: ap = 94, w1 = 3912.505, w2 = 3831.448, dw = -0.04913, nw = 1651 120628.0004.ec.fits: ap = 95, w1 = 3886.078, w2 = 3805.574, dw = -0.04879, nw = 1651 120628.0004.ec.fits: ap = 96, w1 = 3860.006, w2 = 3780.048, dw = -0.04846, nw = 1651 120628.0004.ec.fits: ap = 97, w1 = 3834.282, w2 = 3754.862, dw = -0.04813, nw = 1651 120628.0004.ec.fits: ap = 98, w1 = 3808.899, w2 = 3730.011, dw = -0.04781, nw = 1651 120628.0004.ec.fits: ap = 99, w1 = 3783.849, w2 = 3705.486, dw = -0.04749, nw = 1651 120628.0004.ec.fits: ap = 100, w1 = 3759.128, w2 = 3681.283, dw = -0.04718, nw = 1651 120628.0004.ec.fits: ap = 101, w1 = 3734.727, w2 = 3657.394, dw = -0.04687, nw = 1651 120628.0004.ec.fits: ap = 102, w1 = 3710.642, w2 = 3633.814, dw = -0.04656, nw = 1651 120628.0004.ec.fits: ap = 103, w1 = 3686.865, w2 = 3610.536, dw = -0.04626, nw = 1651 120628.0004.ec.fits: ap = 104, w1 = 3663.392, w2 = 3587.556, dw = -0.04596, nw = 1651 120628.0004.ec.fits: ap = 105, w1 = 3640.215, w2 = 3564.866, dw = -0.04567, nw = 1651 120628.0004.ec.fits: ap = 106, w1 = 3617.331, w2 = 3542.462, dw = -0.04537, nw = 1651 120628.0004.ec.fits: ap = 107, w1 = 3594.732, w2 = 3520.339, dw = -0.04509, nw = 1651 120628.0005.ec.fits: REFSPEC1 = 'ThAr.0006.ec 1.' 120628.0005.ec.fits: ap = 1, w1 = 10649.17, w2 = 10428.09, dw = -0.13399, nw = 1651 120628.0005.ec.fits: ap = 2, w1 = 10455.56, w2 = 10238.51, dw = -0.13155, nw = 1651 120628.0005.ec.fits: ap = 3, w1 = 10268.87, w2 = 10055.7, dw = -0.12919, nw = 1651 120628.0005.ec.fits: ap = 4, w1 = 10088.73, w2 = 9879.306, dw = -0.12692, nw = 1651 120628.0005.ec.fits: ap = 5, w1 = 9914.8, w2 = 9708.993, dw = -0.12473, nw = 1651 120628.0005.ec.fits: ap = 6, w1 = 9746.766, w2 = 9544.453, dw = -0.12261, nw = 1651 120628.0005.ec.fits: ap = 7, w1 = 9584.333, w2 = 9385.397, dw = -0.12057, nw = 1651 120628.0005.ec.fits: ap = 8, w1 = 9427.225, w2 = 9231.556, dw = -0.11859, nw = 1651 120628.0005.ec.fits: ap = 9, w1 = 9275.186, w2 = 9082.677, dw = -0.11667, nw = 1651 120628.0005.ec.fits: ap = 10, w1 = 9127.972, w2 = 8938.524, dw = -0.11482, nw = 1651 120628.0005.ec.fits: ap = 11, w1 = 8985.36, w2 = 8798.876, dw = -0.11302, nw = 1651 120628.0005.ec.fits: ap = 12, w1 = 8847.135, w2 = 8663.524, dw = -0.11128, nw = 1651 120628.0005.ec.fits: ap = 13, w1 = 8713.099, w2 = 8532.274, dw = -0.10959, nw = 1651 120628.0005.ec.fits: ap = 14, w1 = 8583.064, w2 = 8404.941, dw = -0.10795, nw = 1651 120628.0005.ec.fits: ap = 15, w1 = 8456.853, w2 = 8281.353, dw = -0.10636, nw = 1651 120628.0005.ec.fits: ap = 16, w1 = 8334.301, w2 = 8161.347, dw = -0.10482, nw = 1651 120628.0005.ec.fits: ap = 17, w1 = 8215.25, w2 = 8044.77, dw = -0.10332, nw = 1651 120628.0005.ec.fits: ap = 18, w1 = 8099.553, w2 = 7931.476, dw = -0.10186, nw = 1651 120628.0005.ec.fits: ap = 19, w1 = 7987.069, w2 = 7821.329, dw = -0.10045, nw = 1651 120628.0005.ec.fits: ap = 20, w1 = 7877.667, w2 = 7714.2, dw = -0.09907, nw = 1651 120628.0005.ec.fits: ap = 21, w1 = 7771.222, w2 = 7609.966, dw = -0.09773, nw = 1651 120628.0005.ec.fits: ap = 22, w1 = 7667.616, w2 = 7508.512, dw = -0.09643, nw = 1651 120628.0005.ec.fits: ap = 23, w1 = 7566.736, w2 = 7409.727, dw = -0.09516, nw = 1651 120628.0005.ec.fits: ap = 24, w1 = 7468.476, w2 = 7313.508, dw = -0.09392, nw = 1651 120628.0005.ec.fits: ap = 25, w1 = 7372.736, w2 = 7219.756, dw = -0.09272, nw = 1651 120628.0005.ec.fits: ap = 26, w1 = 7279.419, w2 = 7128.377, dw = -0.09154, nw = 1651 120628.0005.ec.fits: ap = 27, w1 = 7188.436, w2 = 7039.283, dw = -0.0904, nw = 1651 120628.0005.ec.fits: ap = 28, w1 = 7099.699, w2 = 6952.389, dw = -0.08928, nw = 1651 120628.0005.ec.fits: ap = 29, w1 = 7013.126, w2 = 6867.613, dw = -0.08819, nw = 1651 120628.0005.ec.fits: ap = 30, w1 = 6928.639, w2 = 6784.881, dw = -0.08713, nw = 1651 120628.0005.ec.fits: ap = 31, w1 = 6846.164, w2 = 6704.118, dw = -0.08609, nw = 1651 120628.0005.ec.fits: ap = 32, w1 = 6765.63, w2 = 6625.256, dw = -0.08508, nw = 1651 120628.0005.ec.fits: ap = 33, w1 = 6686.969, w2 = 6548.228, dw = -0.08409, nw = 1651 120628.0005.ec.fits: ap = 34, w1 = 6610.115, w2 = 6472.97, dw = -0.08312, nw = 1651 120628.0005.ec.fits: ap = 35, w1 = 6535.009, w2 = 6399.423, dw = -0.08217, nw = 1651 120628.0005.ec.fits: ap = 36, w1 = 6461.59, w2 = 6327.528, dw = -0.08125, nw = 1651 120628.0005.ec.fits: ap = 37, w1 = 6389.803, w2 = 6257.231, dw = -0.08035, nw = 1651 120628.0005.ec.fits: ap = 38, w1 = 6319.594, w2 = 6188.48, dw = -0.07946, nw = 1651 120628.0005.ec.fits: ap = 39, w1 = 6250.911, w2 = 6121.222, dw = -0.0786, nw = 1651 120628.0005.ec.fits: ap = 40, w1 = 6183.705, w2 = 6055.412, dw = -0.07775, nw = 1651 120628.0005.ec.fits: ap = 41, w1 = 6117.929, w2 = 5991.001, dw = -0.07693, nw = 1651 120628.0005.ec.fits: ap = 42, w1 = 6053.538, w2 = 5927.947, dw = -0.07612, nw = 1651 120628.0005.ec.fits: ap = 43, w1 = 5990.489, w2 = 5866.206, dw = -0.07532, nw = 1651 120628.0005.ec.fits: ap = 44, w1 = 5928.739, w2 = 5805.738, dw = -0.07455, nw = 1651 120628.0005.ec.fits: ap = 45, w1 = 5868.25, w2 = 5746.505, dw = -0.07378, nw = 1651 120628.0005.ec.fits: ap = 46, w1 = 5808.982, w2 = 5688.468, dw = -0.07304, nw = 1651 120628.0005.ec.fits: ap = 47, w1 = 5750.901, w2 = 5631.592, dw = -0.07231, nw = 1651 120628.0005.ec.fits: ap = 48, w1 = 5693.969, w2 = 5575.842, dw = -0.07159, nw = 1651 120628.0005.ec.fits: ap = 49, w1 = 5638.154, w2 = 5521.186, dw = -0.07089, nw = 1651 120628.0005.ec.fits: ap = 50, w1 = 5583.422, w2 = 5467.591, dw = -0.0702, nw = 1651 120628.0005.ec.fits: ap = 51, w1 = 5529.743, w2 = 5415.026, dw = -0.06953, nw = 1651 120628.0005.ec.fits: ap = 52, w1 = 5477.087, w2 = 5363.463, dw = -0.06886, nw = 1651 120628.0005.ec.fits: ap = 53, w1 = 5425.424, w2 = 5312.873, dw = -0.06821, nw = 1651 120628.0005.ec.fits: ap = 54, w1 = 5374.727, w2 = 5263.229, dw = -0.06757, nw = 1651 120628.0005.ec.fits: ap = 55, w1 = 5324.969, w2 = 5214.504, dw = -0.06695, nw = 1651 120628.0005.ec.fits: ap = 56, w1 = 5276.124, w2 = 5166.674, dw = -0.06633, nw = 1651 120628.0005.ec.fits: ap = 57, w1 = 5228.167, w2 = 5119.713, dw = -0.06573, nw = 1651 120628.0005.ec.fits: ap = 58, w1 = 5181.074, w2 = 5073.599, dw = -0.06514, nw = 1651 120628.0005.ec.fits: ap = 59, w1 = 5134.823, w2 = 5028.308, dw = -0.06455, nw = 1651 120628.0005.ec.fits: ap = 60, w1 = 5089.39, w2 = 4983.819, dw = -0.06398, nw = 1651 120628.0005.ec.fits: ap = 61, w1 = 5044.754, w2 = 4940.11, dw = -0.06342, nw = 1651 120628.0005.ec.fits: ap = 62, w1 = 5000.894, w2 = 4897.162, dw = -0.06287, nw = 1651 120628.0005.ec.fits: ap = 63, w1 = 4957.791, w2 = 4854.955, dw = -0.06233, nw = 1651 120628.0005.ec.fits: ap = 64, w1 = 4915.425, w2 = 4813.469, dw = -0.06179, nw = 1651 120628.0005.ec.fits: ap = 65, w1 = 4873.777, w2 = 4772.686, dw = -0.06127, nw = 1651 120628.0005.ec.fits: ap = 66, w1 = 4832.828, w2 = 4732.589, dw = -0.06075, nw = 1651 120628.0005.ec.fits: ap = 67, w1 = 4792.563, w2 = 4693.161, dw = -0.06024, nw = 1651 120628.0005.ec.fits: ap = 68, w1 = 4752.963, w2 = 4654.385, dw = -0.05974, nw = 1651 120628.0005.ec.fits: ap = 69, w1 = 4714.012, w2 = 4616.244, dw = -0.05925, nw = 1651 120628.0005.ec.fits: ap = 70, w1 = 4675.695, w2 = 4578.724, dw = -0.05877, nw = 1651 120628.0005.ec.fits: ap = 71, w1 = 4637.996, w2 = 4541.809, dw = -0.05829, nw = 1651 120628.0005.ec.fits: ap = 72, w1 = 4600.9, w2 = 4505.485, dw = -0.05783, nw = 1651 120628.0005.ec.fits: ap = 73, w1 = 4564.393, w2 = 4469.738, dw = -0.05737, nw = 1651 120628.0005.ec.fits: ap = 74, w1 = 4528.461, w2 = 4434.554, dw = -0.05691, nw = 1651 120628.0005.ec.fits: ap = 75, w1 = 4493.091, w2 = 4399.92, dw = -0.05647, nw = 1651 120628.0005.ec.fits: ap = 76, w1 = 4458.269, w2 = 4365.823, dw = -0.05603, nw = 1651 120628.0005.ec.fits: ap = 77, w1 = 4423.983, w2 = 4332.251, dw = -0.05559, nw = 1651 120628.0005.ec.fits: ap = 78, w1 = 4390.22, w2 = 4299.192, dw = -0.05517, nw = 1651 120628.0005.ec.fits: ap = 79, w1 = 4356.969, w2 = 4266.634, dw = -0.05475, nw = 1651 120628.0005.ec.fits: ap = 80, w1 = 4324.218, w2 = 4234.565, dw = -0.05434, nw = 1651 120628.0005.ec.fits: ap = 81, w1 = 4291.957, w2 = 4202.976, dw = -0.05393, nw = 1651 120628.0005.ec.fits: ap = 82, w1 = 4260.173, w2 = 4171.855, dw = -0.05353, nw = 1651 120628.0005.ec.fits: ap = 83, w1 = 4228.856, w2 = 4141.192, dw = -0.05313, nw = 1651 120628.0005.ec.fits: ap = 84, w1 = 4197.997, w2 = 4110.976, dw = -0.05274, nw = 1651 120628.0005.ec.fits: ap = 85, w1 = 4167.586, w2 = 4081.199, dw = -0.05236, nw = 1651 120628.0005.ec.fits: ap = 86, w1 = 4137.612, w2 = 4051.851, dw = -0.05198, nw = 1651 120628.0005.ec.fits: ap = 87, w1 = 4108.066, w2 = 4022.922, dw = -0.0516, nw = 1651 120628.0005.ec.fits: ap = 88, w1 = 4078.94, w2 = 3994.404, dw = -0.05123, nw = 1651 120628.0005.ec.fits: ap = 89, w1 = 4050.223, w2 = 3966.287, dw = -0.05087, nw = 1651 120628.0005.ec.fits: ap = 90, w1 = 4021.909, w2 = 3938.564, dw = -0.05051, nw = 1651 120628.0005.ec.fits: ap = 91, w1 = 3993.988, w2 = 3911.227, dw = -0.05016, nw = 1651 120628.0005.ec.fits: ap = 92, w1 = 3966.452, w2 = 3884.267, dw = -0.04981, nw = 1651 120628.0005.ec.fits: ap = 93, w1 = 3939.294, w2 = 3857.676, dw = -0.04947, nw = 1651 120628.0005.ec.fits: ap = 94, w1 = 3912.505, w2 = 3831.448, dw = -0.04913, nw = 1651 120628.0005.ec.fits: ap = 95, w1 = 3886.078, w2 = 3805.574, dw = -0.04879, nw = 1651 120628.0005.ec.fits: ap = 96, w1 = 3860.006, w2 = 3780.048, dw = -0.04846, nw = 1651 120628.0005.ec.fits: ap = 97, w1 = 3834.282, w2 = 3754.862, dw = -0.04813, nw = 1651 120628.0005.ec.fits: ap = 98, w1 = 3808.899, w2 = 3730.011, dw = -0.04781, nw = 1651 120628.0005.ec.fits: ap = 99, w1 = 3783.849, w2 = 3705.486, dw = -0.04749, nw = 1651 120628.0005.ec.fits: ap = 100, w1 = 3759.128, w2 = 3681.283, dw = -0.04718, nw = 1651 120628.0005.ec.fits: ap = 101, w1 = 3734.727, w2 = 3657.394, dw = -0.04687, nw = 1651 120628.0005.ec.fits: ap = 102, w1 = 3710.642, w2 = 3633.814, dw = -0.04656, nw = 1651 120628.0005.ec.fits: ap = 103, w1 = 3686.865, w2 = 3610.536, dw = -0.04626, nw = 1651 120628.0005.ec.fits: ap = 104, w1 = 3663.392, w2 = 3587.556, dw = -0.04596, nw = 1651 120628.0005.ec.fits: ap = 105, w1 = 3640.215, w2 = 3564.866, dw = -0.04567, nw = 1651 120628.0005.ec.fits: ap = 106, w1 = 3617.331, w2 = 3542.462, dw = -0.04537, nw = 1651 120628.0005.ec.fits: ap = 107, w1 = 3594.732, w2 = 3520.339, dw = -0.04509, nw = 1651 ThAr.0006.ec.fits: REFSPEC1 = 'ThAr.0006.ec 1.' zThAr.0006.ec.fits: ap = 1, w1 = 10649.17, w2 = 10428.09, dw = -0.13399, nw = 1651 zThAr.0006.ec.fits: ap = 2, w1 = 10455.56, w2 = 10238.51, dw = -0.13155, nw = 1651 zThAr.0006.ec.fits: ap = 3, w1 = 10268.87, w2 = 10055.7, dw = -0.12919, nw = 1651 zThAr.0006.ec.fits: ap = 4, w1 = 10088.73, w2 = 9879.306, dw = -0.12692, nw = 1651 zThAr.0006.ec.fits: ap = 5, w1 = 9914.8, w2 = 9708.993, dw = -0.12473, nw = 1651 zThAr.0006.ec.fits: ap = 6, w1 = 9746.766, w2 = 9544.453, dw = -0.12261, nw = 1651 zThAr.0006.ec.fits: ap = 7, w1 = 9584.333, w2 = 9385.397, dw = -0.12057, nw = 1651 zThAr.0006.ec.fits: ap = 8, w1 = 9427.225, w2 = 9231.556, dw = -0.11859, nw = 1651 zThAr.0006.ec.fits: ap = 9, w1 = 9275.186, w2 = 9082.677, dw = -0.11667, nw = 1651 zThAr.0006.ec.fits: ap = 10, w1 = 9127.972, w2 = 8938.524, dw = -0.11482, nw = 1651 zThAr.0006.ec.fits: ap = 11, w1 = 8985.36, w2 = 8798.876, dw = -0.11302, nw = 1651 zThAr.0006.ec.fits: ap = 12, w1 = 8847.135, w2 = 8663.524, dw = -0.11128, nw = 1651 zThAr.0006.ec.fits: ap = 13, w1 = 8713.099, w2 = 8532.274, dw = -0.10959, nw = 1651 zThAr.0006.ec.fits: ap = 14, w1 = 8583.064, w2 = 8404.941, dw = -0.10795, nw = 1651 zThAr.0006.ec.fits: ap = 15, w1 = 8456.853, w2 = 8281.353, dw = -0.10636, nw = 1651 zThAr.0006.ec.fits: ap = 16, w1 = 8334.301, w2 = 8161.347, dw = -0.10482, nw = 1651 zThAr.0006.ec.fits: ap = 17, w1 = 8215.25, w2 = 8044.77, dw = -0.10332, nw = 1651 zThAr.0006.ec.fits: ap = 18, w1 = 8099.553, w2 = 7931.476, dw = -0.10186, nw = 1651 zThAr.0006.ec.fits: ap = 19, w1 = 7987.069, w2 = 7821.329, dw = -0.10045, nw = 1651 zThAr.0006.ec.fits: ap = 20, w1 = 7877.667, w2 = 7714.2, dw = -0.09907, nw = 1651 zThAr.0006.ec.fits: ap = 21, w1 = 7771.222, w2 = 7609.966, dw = -0.09773, nw = 1651 zThAr.0006.ec.fits: ap = 22, w1 = 7667.616, w2 = 7508.512, dw = -0.09643, nw = 1651 zThAr.0006.ec.fits: ap = 23, w1 = 7566.736, w2 = 7409.727, dw = -0.09516, nw = 1651 zThAr.0006.ec.fits: ap = 24, w1 = 7468.476, w2 = 7313.508, dw = -0.09392, nw = 1651 zThAr.0006.ec.fits: ap = 25, w1 = 7372.736, w2 = 7219.756, dw = -0.09272, nw = 1651 zThAr.0006.ec.fits: ap = 26, w1 = 7279.419, w2 = 7128.377, dw = -0.09154, nw = 1651 zThAr.0006.ec.fits: ap = 27, w1 = 7188.436, w2 = 7039.283, dw = -0.0904, nw = 1651 zThAr.0006.ec.fits: ap = 28, w1 = 7099.699, w2 = 6952.389, dw = -0.08928, nw = 1651 zThAr.0006.ec.fits: ap = 29, w1 = 7013.126, w2 = 6867.613, dw = -0.08819, nw = 1651 zThAr.0006.ec.fits: ap = 30, w1 = 6928.639, w2 = 6784.881, dw = -0.08713, nw = 1651 zThAr.0006.ec.fits: ap = 31, w1 = 6846.164, w2 = 6704.118, dw = -0.08609, nw = 1651 zThAr.0006.ec.fits: ap = 32, w1 = 6765.63, w2 = 6625.256, dw = -0.08508, nw = 1651 zThAr.0006.ec.fits: ap = 33, w1 = 6686.969, w2 = 6548.228, dw = -0.08409, nw = 1651 zThAr.0006.ec.fits: ap = 34, w1 = 6610.115, w2 = 6472.97, dw = -0.08312, nw = 1651 zThAr.0006.ec.fits: ap = 35, w1 = 6535.009, w2 = 6399.423, dw = -0.08217, nw = 1651 zThAr.0006.ec.fits: ap = 36, w1 = 6461.59, w2 = 6327.528, dw = -0.08125, nw = 1651 zThAr.0006.ec.fits: ap = 37, w1 = 6389.803, w2 = 6257.231, dw = -0.08035, nw = 1651 zThAr.0006.ec.fits: ap = 38, w1 = 6319.594, w2 = 6188.48, dw = -0.07946, nw = 1651 zThAr.0006.ec.fits: ap = 39, w1 = 6250.911, w2 = 6121.222, dw = -0.0786, nw = 1651 zThAr.0006.ec.fits: ap = 40, w1 = 6183.705, w2 = 6055.412, dw = -0.07775, nw = 1651 zThAr.0006.ec.fits: ap = 41, w1 = 6117.929, w2 = 5991.001, dw = -0.07693, nw = 1651 zThAr.0006.ec.fits: ap = 42, w1 = 6053.538, w2 = 5927.947, dw = -0.07612, nw = 1651 zThAr.0006.ec.fits: ap = 43, w1 = 5990.489, w2 = 5866.206, dw = -0.07532, nw = 1651 zThAr.0006.ec.fits: ap = 44, w1 = 5928.739, w2 = 5805.738, dw = -0.07455, nw = 1651 zThAr.0006.ec.fits: ap = 45, w1 = 5868.25, w2 = 5746.505, dw = -0.07378, nw = 1651 zThAr.0006.ec.fits: ap = 46, w1 = 5808.982, w2 = 5688.468, dw = -0.07304, nw = 1651 zThAr.0006.ec.fits: ap = 47, w1 = 5750.901, w2 = 5631.592, dw = -0.07231, nw = 1651 zThAr.0006.ec.fits: ap = 48, w1 = 5693.969, w2 = 5575.842, dw = -0.07159, nw = 1651 zThAr.0006.ec.fits: ap = 49, w1 = 5638.154, w2 = 5521.186, dw = -0.07089, nw = 1651 zThAr.0006.ec.fits: ap = 50, w1 = 5583.422, w2 = 5467.591, dw = -0.0702, nw = 1651 zThAr.0006.ec.fits: ap = 51, w1 = 5529.743, w2 = 5415.026, dw = -0.06953, nw = 1651 zThAr.0006.ec.fits: ap = 52, w1 = 5477.087, w2 = 5363.463, dw = -0.06886, nw = 1651 zThAr.0006.ec.fits: ap = 53, w1 = 5425.424, w2 = 5312.873, dw = -0.06821, nw = 1651 zThAr.0006.ec.fits: ap = 54, w1 = 5374.727, w2 = 5263.229, dw = -0.06757, nw = 1651 zThAr.0006.ec.fits: ap = 55, w1 = 5324.969, w2 = 5214.504, dw = -0.06695, nw = 1651 zThAr.0006.ec.fits: ap = 56, w1 = 5276.124, w2 = 5166.674, dw = -0.06633, nw = 1651 zThAr.0006.ec.fits: ap = 57, w1 = 5228.167, w2 = 5119.713, dw = -0.06573, nw = 1651 zThAr.0006.ec.fits: ap = 58, w1 = 5181.074, w2 = 5073.599, dw = -0.06514, nw = 1651 zThAr.0006.ec.fits: ap = 59, w1 = 5134.823, w2 = 5028.308, dw = -0.06455, nw = 1651 zThAr.0006.ec.fits: ap = 60, w1 = 5089.39, w2 = 4983.819, dw = -0.06398, nw = 1651 zThAr.0006.ec.fits: ap = 61, w1 = 5044.754, w2 = 4940.11, dw = -0.06342, nw = 1651 zThAr.0006.ec.fits: ap = 62, w1 = 5000.894, w2 = 4897.162, dw = -0.06287, nw = 1651 zThAr.0006.ec.fits: ap = 63, w1 = 4957.791, w2 = 4854.955, dw = -0.06233, nw = 1651 zThAr.0006.ec.fits: ap = 64, w1 = 4915.425, w2 = 4813.469, dw = -0.06179, nw = 1651 zThAr.0006.ec.fits: ap = 65, w1 = 4873.777, w2 = 4772.686, dw = -0.06127, nw = 1651 zThAr.0006.ec.fits: ap = 66, w1 = 4832.828, w2 = 4732.589, dw = -0.06075, nw = 1651 zThAr.0006.ec.fits: ap = 67, w1 = 4792.563, w2 = 4693.161, dw = -0.06024, nw = 1651 zThAr.0006.ec.fits: ap = 68, w1 = 4752.963, w2 = 4654.385, dw = -0.05974, nw = 1651 zThAr.0006.ec.fits: ap = 69, w1 = 4714.012, w2 = 4616.244, dw = -0.05925, nw = 1651 zThAr.0006.ec.fits: ap = 70, w1 = 4675.695, w2 = 4578.724, dw = -0.05877, nw = 1651 zThAr.0006.ec.fits: ap = 71, w1 = 4637.996, w2 = 4541.809, dw = -0.05829, nw = 1651 zThAr.0006.ec.fits: ap = 72, w1 = 4600.9, w2 = 4505.485, dw = -0.05783, nw = 1651 zThAr.0006.ec.fits: ap = 73, w1 = 4564.393, w2 = 4469.738, dw = -0.05737, nw = 1651 zThAr.0006.ec.fits: ap = 74, w1 = 4528.461, w2 = 4434.554, dw = -0.05691, nw = 1651 zThAr.0006.ec.fits: ap = 75, w1 = 4493.091, w2 = 4399.92, dw = -0.05647, nw = 1651 zThAr.0006.ec.fits: ap = 76, w1 = 4458.269, w2 = 4365.823, dw = -0.05603, nw = 1651 zThAr.0006.ec.fits: ap = 77, w1 = 4423.983, w2 = 4332.251, dw = -0.05559, nw = 1651 zThAr.0006.ec.fits: ap = 78, w1 = 4390.22, w2 = 4299.192, dw = -0.05517, nw = 1651 zThAr.0006.ec.fits: ap = 79, w1 = 4356.969, w2 = 4266.634, dw = -0.05475, nw = 1651 zThAr.0006.ec.fits: ap = 80, w1 = 4324.218, w2 = 4234.565, dw = -0.05434, nw = 1651 zThAr.0006.ec.fits: ap = 81, w1 = 4291.957, w2 = 4202.976, dw = -0.05393, nw = 1651 zThAr.0006.ec.fits: ap = 82, w1 = 4260.173, w2 = 4171.855, dw = -0.05353, nw = 1651 zThAr.0006.ec.fits: ap = 83, w1 = 4228.856, w2 = 4141.192, dw = -0.05313, nw = 1651 zThAr.0006.ec.fits: ap = 84, w1 = 4197.997, w2 = 4110.976, dw = -0.05274, nw = 1651 zThAr.0006.ec.fits: ap = 85, w1 = 4167.586, w2 = 4081.199, dw = -0.05236, nw = 1651 zThAr.0006.ec.fits: ap = 86, w1 = 4137.612, w2 = 4051.851, dw = -0.05198, nw = 1651 zThAr.0006.ec.fits: ap = 87, w1 = 4108.066, w2 = 4022.922, dw = -0.0516, nw = 1651 zThAr.0006.ec.fits: ap = 88, w1 = 4078.94, w2 = 3994.404, dw = -0.05123, nw = 1651 zThAr.0006.ec.fits: ap = 89, w1 = 4050.223, w2 = 3966.287, dw = -0.05087, nw = 1651 zThAr.0006.ec.fits: ap = 90, w1 = 4021.909, w2 = 3938.564, dw = -0.05051, nw = 1651 zThAr.0006.ec.fits: ap = 91, w1 = 3993.988, w2 = 3911.227, dw = -0.05016, nw = 1651 zThAr.0006.ec.fits: ap = 92, w1 = 3966.452, w2 = 3884.267, dw = -0.04981, nw = 1651 zThAr.0006.ec.fits: ap = 93, w1 = 3939.294, w2 = 3857.676, dw = -0.04947, nw = 1651 zThAr.0006.ec.fits: ap = 94, w1 = 3912.505, w2 = 3831.448, dw = -0.04913, nw = 1651 zThAr.0006.ec.fits: ap = 95, w1 = 3886.078, w2 = 3805.574, dw = -0.04879, nw = 1651 zThAr.0006.ec.fits: ap = 96, w1 = 3860.006, w2 = 3780.048, dw = -0.04846, nw = 1651 zThAr.0006.ec.fits: ap = 97, w1 = 3834.282, w2 = 3754.862, dw = -0.04813, nw = 1651 zThAr.0006.ec.fits: ap = 98, w1 = 3808.899, w2 = 3730.011, dw = -0.04781, nw = 1651 zThAr.0006.ec.fits: ap = 99, w1 = 3783.849, w2 = 3705.486, dw = -0.04749, nw = 1651 zThAr.0006.ec.fits: ap = 100, w1 = 3759.128, w2 = 3681.283, dw = -0.04718, nw = 1651 zThAr.0006.ec.fits: ap = 101, w1 = 3734.727, w2 = 3657.394, dw = -0.04687, nw = 1651 zThAr.0006.ec.fits: ap = 102, w1 = 3710.642, w2 = 3633.814, dw = -0.04656, nw = 1651 zThAr.0006.ec.fits: ap = 103, w1 = 3686.865, w2 = 3610.536, dw = -0.04626, nw = 1651 zThAr.0006.ec.fits: ap = 104, w1 = 3663.392, w2 = 3587.556, dw = -0.04596, nw = 1651 zThAr.0006.ec.fits: ap = 105, w1 = 3640.215, w2 = 3564.866, dw = -0.04567, nw = 1651 zThAr.0006.ec.fits: ap = 106, w1 = 3617.331, w2 = 3542.462, dw = -0.04537, nw = 1651 zThAr.0006.ec.fits: ap = 107, w1 = 3594.732, w2 = 3520.339, dw = -0.04509, nw = 1651 ThAr.0007.ec.fits: REFSPEC1 = 'ThAr.0007.ec 1.' zThAr.0007.ec.fits: ap = 1, w1 = 10649.18, w2 = 10428.14, dw = -0.13396, nw = 1651 zThAr.0007.ec.fits: ap = 2, w1 = 10455.57, w2 = 10238.55, dw = -0.13152, nw = 1651 zThAr.0007.ec.fits: ap = 3, w1 = 10268.88, w2 = 10055.74, dw = -0.12917, nw = 1651 zThAr.0007.ec.fits: ap = 4, w1 = 10088.73, w2 = 9879.337, dw = -0.12691, nw = 1651 zThAr.0007.ec.fits: ap = 5, w1 = 9914.805, w2 = 9709.019, dw = -0.12472, nw = 1651 zThAr.0007.ec.fits: ap = 6, w1 = 9746.771, w2 = 9544.474, dw = -0.1226, nw = 1651 zThAr.0007.ec.fits: ap = 7, w1 = 9584.337, w2 = 9385.413, dw = -0.12056, nw = 1651 zThAr.0007.ec.fits: ap = 8, w1 = 9427.23, w2 = 9231.568, dw = -0.11858, nw = 1651 zThAr.0007.ec.fits: ap = 9, w1 = 9275.19, w2 = 9082.686, dw = -0.11667, nw = 1651 zThAr.0007.ec.fits: ap = 10, w1 = 9127.977, w2 = 8938.53, dw = -0.11482, nw = 1651 zThAr.0007.ec.fits: ap = 11, w1 = 8985.364, w2 = 8798.879, dw = -0.11302, nw = 1651 zThAr.0007.ec.fits: ap = 12, w1 = 8847.139, w2 = 8663.525, dw = -0.11128, nw = 1651 zThAr.0007.ec.fits: ap = 13, w1 = 8713.102, w2 = 8532.272, dw = -0.10959, nw = 1651 zThAr.0007.ec.fits: ap = 14, w1 = 8583.067, w2 = 8404.938, dw = -0.10796, nw = 1651 zThAr.0007.ec.fits: ap = 15, w1 = 8456.856, w2 = 8281.348, dw = -0.10637, nw = 1651 zThAr.0007.ec.fits: ap = 16, w1 = 8334.303, w2 = 8161.341, dw = -0.10483, nw = 1651 zThAr.0007.ec.fits: ap = 17, w1 = 8215.252, w2 = 8044.763, dw = -0.10333, nw = 1651 zThAr.0007.ec.fits: ap = 18, w1 = 8099.554, w2 = 7931.469, dw = -0.10187, nw = 1651 zThAr.0007.ec.fits: ap = 19, w1 = 7987.071, w2 = 7821.321, dw = -0.10045, nw = 1651 zThAr.0007.ec.fits: ap = 20, w1 = 7877.668, w2 = 7714.192, dw = -0.09908, nw = 1651 zThAr.0007.ec.fits: ap = 21, w1 = 7771.223, w2 = 7609.958, dw = -0.09774, nw = 1651 zThAr.0007.ec.fits: ap = 22, w1 = 7667.616, w2 = 7508.503, dw = -0.09643, nw = 1651 zThAr.0007.ec.fits: ap = 23, w1 = 7566.736, w2 = 7409.719, dw = -0.09516, nw = 1651 zThAr.0007.ec.fits: ap = 24, w1 = 7468.476, w2 = 7313.5, dw = -0.09392, nw = 1651 zThAr.0007.ec.fits: ap = 25, w1 = 7372.735, w2 = 7219.748, dw = -0.09272, nw = 1651 zThAr.0007.ec.fits: ap = 26, w1 = 7279.418, w2 = 7128.37, dw = -0.09154, nw = 1651 zThAr.0007.ec.fits: ap = 27, w1 = 7188.434, w2 = 7039.276, dw = -0.0904, nw = 1651 zThAr.0007.ec.fits: ap = 28, w1 = 7099.697, w2 = 6952.382, dw = -0.08928, nw = 1651 zThAr.0007.ec.fits: ap = 29, w1 = 7013.124, w2 = 6867.608, dw = -0.08819, nw = 1651 zThAr.0007.ec.fits: ap = 30, w1 = 6928.637, w2 = 6784.876, dw = -0.08713, nw = 1651 zThAr.0007.ec.fits: ap = 31, w1 = 6846.161, w2 = 6704.115, dw = -0.08609, nw = 1651 zThAr.0007.ec.fits: ap = 32, w1 = 6765.627, w2 = 6625.253, dw = -0.08507, nw = 1651 zThAr.0007.ec.fits: ap = 33, w1 = 6686.965, w2 = 6548.226, dw = -0.08408, nw = 1651 zThAr.0007.ec.fits: ap = 34, w1 = 6610.111, w2 = 6472.969, dw = -0.08312, nw = 1651 zThAr.0007.ec.fits: ap = 35, w1 = 6535.005, w2 = 6399.423, dw = -0.08217, nw = 1651 zThAr.0007.ec.fits: ap = 36, w1 = 6461.586, w2 = 6327.529, dw = -0.08125, nw = 1651 zThAr.0007.ec.fits: ap = 37, w1 = 6389.798, w2 = 6257.233, dw = -0.08034, nw = 1651 zThAr.0007.ec.fits: ap = 38, w1 = 6319.589, w2 = 6188.483, dw = -0.07946, nw = 1651 zThAr.0007.ec.fits: ap = 39, w1 = 6250.906, w2 = 6121.226, dw = -0.07859, nw = 1651 zThAr.0007.ec.fits: ap = 40, w1 = 6183.7, w2 = 6055.417, dw = -0.07775, nw = 1651 zThAr.0007.ec.fits: ap = 41, w1 = 6117.923, w2 = 5991.007, dw = -0.07692, nw = 1651 zThAr.0007.ec.fits: ap = 42, w1 = 6053.532, w2 = 5927.954, dw = -0.07611, nw = 1651 zThAr.0007.ec.fits: ap = 43, w1 = 5990.482, w2 = 5866.214, dw = -0.07531, nw = 1651 zThAr.0007.ec.fits: ap = 44, w1 = 5928.733, w2 = 5805.747, dw = -0.07454, nw = 1651 zThAr.0007.ec.fits: ap = 45, w1 = 5868.243, w2 = 5746.514, dw = -0.07378, nw = 1651 zThAr.0007.ec.fits: ap = 46, w1 = 5808.976, w2 = 5688.478, dw = -0.07303, nw = 1651 zThAr.0007.ec.fits: ap = 47, w1 = 5750.894, w2 = 5631.603, dw = -0.0723, nw = 1651 zThAr.0007.ec.fits: ap = 48, w1 = 5693.962, w2 = 5575.854, dw = -0.07158, nw = 1651 zThAr.0007.ec.fits: ap = 49, w1 = 5638.147, w2 = 5521.198, dw = -0.07088, nw = 1651 zThAr.0007.ec.fits: ap = 50, w1 = 5583.416, w2 = 5467.604, dw = -0.07019, nw = 1651 zThAr.0007.ec.fits: ap = 51, w1 = 5529.737, w2 = 5415.04, dw = -0.06951, nw = 1651 zThAr.0007.ec.fits: ap = 52, w1 = 5477.081, w2 = 5363.477, dw = -0.06885, nw = 1651 zThAr.0007.ec.fits: ap = 53, w1 = 5425.418, w2 = 5312.888, dw = -0.0682, nw = 1651 zThAr.0007.ec.fits: ap = 54, w1 = 5374.721, w2 = 5263.244, dw = -0.06756, nw = 1651 zThAr.0007.ec.fits: ap = 55, w1 = 5324.963, w2 = 5214.519, dw = -0.06694, nw = 1651 zThAr.0007.ec.fits: ap = 56, w1 = 5276.118, w2 = 5166.689, dw = -0.06632, nw = 1651 zThAr.0007.ec.fits: ap = 57, w1 = 5228.161, w2 = 5119.728, dw = -0.06572, nw = 1651 zThAr.0007.ec.fits: ap = 58, w1 = 5181.069, w2 = 5073.614, dw = -0.06512, nw = 1651 zThAr.0007.ec.fits: ap = 59, w1 = 5134.818, w2 = 5028.323, dw = -0.06454, nw = 1651 zThAr.0007.ec.fits: ap = 60, w1 = 5089.385, w2 = 4983.833, dw = -0.06397, nw = 1651 zThAr.0007.ec.fits: ap = 61, w1 = 5044.749, w2 = 4940.125, dw = -0.06341, nw = 1651 zThAr.0007.ec.fits: ap = 62, w1 = 5000.89, w2 = 4897.176, dw = -0.06286, nw = 1651 zThAr.0007.ec.fits: ap = 63, w1 = 4957.787, w2 = 4854.968, dw = -0.06231, nw = 1651 zThAr.0007.ec.fits: ap = 64, w1 = 4915.421, w2 = 4813.482, dw = -0.06178, nw = 1651 zThAr.0007.ec.fits: ap = 65, w1 = 4873.774, w2 = 4772.699, dw = -0.06126, nw = 1651 zThAr.0007.ec.fits: ap = 66, w1 = 4832.826, w2 = 4732.601, dw = -0.06074, nw = 1651 zThAr.0007.ec.fits: ap = 67, w1 = 4792.561, w2 = 4693.172, dw = -0.06024, nw = 1651 zThAr.0007.ec.fits: ap = 68, w1 = 4752.962, w2 = 4654.394, dw = -0.05974, nw = 1651 zThAr.0007.ec.fits: ap = 69, w1 = 4714.012, w2 = 4616.252, dw = -0.05925, nw = 1651 zThAr.0007.ec.fits: ap = 70, w1 = 4675.695, w2 = 4578.731, dw = -0.05877, nw = 1651 zThAr.0007.ec.fits: ap = 71, w1 = 4637.996, w2 = 4541.815, dw = -0.05829, nw = 1651 zThAr.0007.ec.fits: ap = 72, w1 = 4600.901, w2 = 4505.489, dw = -0.05783, nw = 1651 zThAr.0007.ec.fits: ap = 73, w1 = 4564.395, w2 = 4469.74, dw = -0.05737, nw = 1651 zThAr.0007.ec.fits: ap = 74, w1 = 4528.464, w2 = 4434.555, dw = -0.05691, nw = 1651 zThAr.0007.ec.fits: ap = 75, w1 = 4493.094, w2 = 4399.919, dw = -0.05647, nw = 1651 zThAr.0007.ec.fits: ap = 76, w1 = 4458.273, w2 = 4365.82, dw = -0.05603, nw = 1651 zThAr.0007.ec.fits: ap = 77, w1 = 4423.988, w2 = 4332.246, dw = -0.0556, nw = 1651 zThAr.0007.ec.fits: ap = 78, w1 = 4390.226, w2 = 4299.184, dw = -0.05518, nw = 1651 zThAr.0007.ec.fits: ap = 79, w1 = 4356.977, w2 = 4266.624, dw = -0.05476, nw = 1651 zThAr.0007.ec.fits: ap = 80, w1 = 4324.227, w2 = 4234.553, dw = -0.05435, nw = 1651 zThAr.0007.ec.fits: ap = 81, w1 = 4291.966, w2 = 4202.961, dw = -0.05394, nw = 1651 zThAr.0007.ec.fits: ap = 82, w1 = 4260.183, w2 = 4171.837, dw = -0.05354, nw = 1651 zThAr.0007.ec.fits: ap = 83, w1 = 4228.868, w2 = 4141.17, dw = -0.05315, nw = 1651 zThAr.0007.ec.fits: ap = 84, w1 = 4198.01, w2 = 4110.952, dw = -0.05276, nw = 1651 zThAr.0007.ec.fits: ap = 85, w1 = 4167.6, w2 = 4081.172, dw = -0.05238, nw = 1651 zThAr.0007.ec.fits: ap = 86, w1 = 4137.627, w2 = 4051.82, dw = -0.052, nw = 1651 zThAr.0007.ec.fits: ap = 87, w1 = 4108.082, w2 = 4022.887, dw = -0.05163, nw = 1651 zThAr.0007.ec.fits: ap = 88, w1 = 4078.957, w2 = 3994.365, dw = -0.05127, nw = 1651 zThAr.0007.ec.fits: ap = 89, w1 = 4050.243, w2 = 3966.245, dw = -0.05091, nw = 1651 zThAr.0007.ec.fits: ap = 90, w1 = 4021.929, w2 = 3938.518, dw = -0.05055, nw = 1651 zThAr.0007.ec.fits: ap = 91, w1 = 3994.01, w2 = 3911.177, dw = -0.0502, nw = 1651 zThAr.0007.ec.fits: ap = 92, w1 = 3966.476, w2 = 3884.212, dw = -0.04986, nw = 1651 zThAr.0007.ec.fits: ap = 93, w1 = 3939.319, w2 = 3857.618, dw = -0.04952, nw = 1651 zThAr.0007.ec.fits: ap = 94, w1 = 3912.531, w2 = 3831.385, dw = -0.04918, nw = 1651 zThAr.0007.ec.fits: ap = 95, w1 = 3886.106, w2 = 3805.506, dw = -0.04885, nw = 1651 zThAr.0007.ec.fits: ap = 96, w1 = 3860.036, w2 = 3779.975, dw = -0.04852, nw = 1651 zThAr.0007.ec.fits: ap = 97, w1 = 3834.313, w2 = 3754.785, dw = -0.0482, nw = 1651 zThAr.0007.ec.fits: ap = 98, w1 = 3808.932, w2 = 3729.928, dw = -0.04788, nw = 1651 zThAr.0007.ec.fits: ap = 99, w1 = 3783.884, w2 = 3705.398, dw = -0.04757, nw = 1651 zThAr.0007.ec.fits: ap = 100, w1 = 3759.164, w2 = 3681.189, dw = -0.04726, nw = 1651 zThAr.0007.ec.fits: ap = 101, w1 = 3734.766, w2 = 3657.295, dw = -0.04695, nw = 1651 zThAr.0007.ec.fits: ap = 102, w1 = 3710.682, w2 = 3633.709, dw = -0.04665, nw = 1651 zThAr.0007.ec.fits: ap = 103, w1 = 3686.907, w2 = 3610.425, dw = -0.04635, nw = 1651 zThAr.0007.ec.fits: ap = 104, w1 = 3663.436, w2 = 3587.439, dw = -0.04606, nw = 1651 zThAr.0007.ec.fits: ap = 105, w1 = 3640.261, w2 = 3564.743, dw = -0.04577, nw = 1651 zThAr.0007.ec.fits: ap = 106, w1 = 3617.379, w2 = 3542.333, dw = -0.04548, nw = 1651 zThAr.0007.ec.fits: ap = 107, w1 = 3594.782, w2 = 3520.203, dw = -0.0452, nw = 1651 ThAr.0008.ec.fits: REFSPEC1 = 'ThAr.0008.ec 1.' zThAr.0008.ec.fits: ap = 1, w1 = 10649.19, w2 = 10428.13, dw = -0.13397, nw = 1651 zThAr.0008.ec.fits: ap = 2, w1 = 10455.58, w2 = 10238.55, dw = -0.13154, nw = 1651 zThAr.0008.ec.fits: ap = 3, w1 = 10268.89, w2 = 10055.73, dw = -0.12918, nw = 1651 zThAr.0008.ec.fits: ap = 4, w1 = 10088.74, w2 = 9879.331, dw = -0.12692, nw = 1651 zThAr.0008.ec.fits: ap = 5, w1 = 9914.813, w2 = 9709.014, dw = -0.12473, nw = 1651 zThAr.0008.ec.fits: ap = 6, w1 = 9746.778, w2 = 9544.47, dw = -0.12261, nw = 1651 zThAr.0008.ec.fits: ap = 7, w1 = 9584.344, w2 = 9385.411, dw = -0.12057, nw = 1651 zThAr.0008.ec.fits: ap = 8, w1 = 9427.236, w2 = 9231.567, dw = -0.11859, nw = 1651 zThAr.0008.ec.fits: ap = 9, w1 = 9275.196, w2 = 9082.685, dw = -0.11667, nw = 1651 zThAr.0008.ec.fits: ap = 10, w1 = 9127.982, w2 = 8938.53, dw = -0.11482, nw = 1651 zThAr.0008.ec.fits: ap = 11, w1 = 8985.369, w2 = 8798.879, dw = -0.11302, nw = 1651 zThAr.0008.ec.fits: ap = 12, w1 = 8847.143, w2 = 8663.526, dw = -0.11128, nw = 1651 zThAr.0008.ec.fits: ap = 13, w1 = 8713.107, w2 = 8532.274, dw = -0.1096, nw = 1651 zThAr.0008.ec.fits: ap = 14, w1 = 8583.071, w2 = 8404.94, dw = -0.10796, nw = 1651 zThAr.0008.ec.fits: ap = 15, w1 = 8456.86, w2 = 8281.351, dw = -0.10637, nw = 1651 zThAr.0008.ec.fits: ap = 16, w1 = 8334.307, w2 = 8161.344, dw = -0.10483, nw = 1651 zThAr.0008.ec.fits: ap = 17, w1 = 8215.256, w2 = 8044.766, dw = -0.10333, nw = 1651 zThAr.0008.ec.fits: ap = 18, w1 = 8099.558, w2 = 7931.472, dw = -0.10187, nw = 1651 zThAr.0008.ec.fits: ap = 19, w1 = 7987.074, w2 = 7821.325, dw = -0.10045, nw = 1651 zThAr.0008.ec.fits: ap = 20, w1 = 7877.672, w2 = 7714.195, dw = -0.09908, nw = 1651 zThAr.0008.ec.fits: ap = 21, w1 = 7771.226, w2 = 7609.961, dw = -0.09774, nw = 1651 zThAr.0008.ec.fits: ap = 22, w1 = 7667.619, w2 = 7508.507, dw = -0.09643, nw = 1651 zThAr.0008.ec.fits: ap = 23, w1 = 7566.739, w2 = 7409.722, dw = -0.09516, nw = 1651 zThAr.0008.ec.fits: ap = 24, w1 = 7468.479, w2 = 7313.503, dw = -0.09392, nw = 1651 zThAr.0008.ec.fits: ap = 25, w1 = 7372.738, w2 = 7219.751, dw = -0.09272, nw = 1651 zThAr.0008.ec.fits: ap = 26, w1 = 7279.421, w2 = 7128.373, dw = -0.09154, nw = 1651 zThAr.0008.ec.fits: ap = 27, w1 = 7188.437, w2 = 7039.279, dw = -0.0904, nw = 1651 zThAr.0008.ec.fits: ap = 28, w1 = 7099.7, w2 = 6952.385, dw = -0.08928, nw = 1651 zThAr.0008.ec.fits: ap = 29, w1 = 7013.127, w2 = 6867.611, dw = -0.08819, nw = 1651 zThAr.0008.ec.fits: ap = 30, w1 = 6928.64, w2 = 6784.879, dw = -0.08713, nw = 1651 zThAr.0008.ec.fits: ap = 31, w1 = 6846.165, w2 = 6704.117, dw = -0.08609, nw = 1651 zThAr.0008.ec.fits: ap = 32, w1 = 6765.63, w2 = 6625.255, dw = -0.08508, nw = 1651 zThAr.0008.ec.fits: ap = 33, w1 = 6686.968, w2 = 6548.228, dw = -0.08409, nw = 1651 zThAr.0008.ec.fits: ap = 34, w1 = 6610.115, w2 = 6472.971, dw = -0.08312, nw = 1651 zThAr.0008.ec.fits: ap = 35, w1 = 6535.008, w2 = 6399.424, dw = -0.08217, nw = 1651 zThAr.0008.ec.fits: ap = 36, w1 = 6461.589, w2 = 6327.531, dw = -0.08125, nw = 1651 zThAr.0008.ec.fits: ap = 37, w1 = 6389.802, w2 = 6257.235, dw = -0.08034, nw = 1651 zThAr.0008.ec.fits: ap = 38, w1 = 6319.592, w2 = 6188.484, dw = -0.07946, nw = 1651 zThAr.0008.ec.fits: ap = 39, w1 = 6250.909, w2 = 6121.227, dw = -0.0786, nw = 1651 zThAr.0008.ec.fits: ap = 40, w1 = 6183.703, w2 = 6055.417, dw = -0.07775, nw = 1651 zThAr.0008.ec.fits: ap = 41, w1 = 6117.927, w2 = 5991.008, dw = -0.07692, nw = 1651 zThAr.0008.ec.fits: ap = 42, w1 = 6053.536, w2 = 5927.954, dw = -0.07611, nw = 1651 zThAr.0008.ec.fits: ap = 43, w1 = 5990.486, w2 = 5866.214, dw = -0.07532, nw = 1651 zThAr.0008.ec.fits: ap = 44, w1 = 5928.736, w2 = 5805.747, dw = -0.07454, nw = 1651 zThAr.0008.ec.fits: ap = 45, w1 = 5868.247, w2 = 5746.514, dw = -0.07378, nw = 1651 zThAr.0008.ec.fits: ap = 46, w1 = 5808.98, w2 = 5688.478, dw = -0.07303, nw = 1651 zThAr.0008.ec.fits: ap = 47, w1 = 5750.898, w2 = 5631.602, dw = -0.0723, nw = 1651 zThAr.0008.ec.fits: ap = 48, w1 = 5693.966, w2 = 5575.853, dw = -0.07158, nw = 1651 zThAr.0008.ec.fits: ap = 49, w1 = 5638.151, w2 = 5521.197, dw = -0.07088, nw = 1651 zThAr.0008.ec.fits: ap = 50, w1 = 5583.419, w2 = 5467.602, dw = -0.07019, nw = 1651 zThAr.0008.ec.fits: ap = 51, w1 = 5529.74, w2 = 5415.039, dw = -0.06952, nw = 1651 zThAr.0008.ec.fits: ap = 52, w1 = 5477.084, w2 = 5363.476, dw = -0.06885, nw = 1651 zThAr.0008.ec.fits: ap = 53, w1 = 5425.421, w2 = 5312.886, dw = -0.0682, nw = 1651 zThAr.0008.ec.fits: ap = 54, w1 = 5374.724, w2 = 5263.242, dw = -0.06756, nw = 1651 zThAr.0008.ec.fits: ap = 55, w1 = 5324.966, w2 = 5214.518, dw = -0.06694, nw = 1651 zThAr.0008.ec.fits: ap = 56, w1 = 5276.121, w2 = 5166.687, dw = -0.06632, nw = 1651 zThAr.0008.ec.fits: ap = 57, w1 = 5228.165, w2 = 5119.726, dw = -0.06572, nw = 1651 zThAr.0008.ec.fits: ap = 58, w1 = 5181.072, w2 = 5073.612, dw = -0.06513, nw = 1651 zThAr.0008.ec.fits: ap = 59, w1 = 5134.82, w2 = 5028.321, dw = -0.06455, nw = 1651 zThAr.0008.ec.fits: ap = 60, w1 = 5089.388, w2 = 4983.832, dw = -0.06397, nw = 1651 zThAr.0008.ec.fits: ap = 61, w1 = 5044.752, w2 = 4940.123, dw = -0.06341, nw = 1651 zThAr.0008.ec.fits: ap = 62, w1 = 5000.893, w2 = 4897.175, dw = -0.06286, nw = 1651 zThAr.0008.ec.fits: ap = 63, w1 = 4957.79, w2 = 4854.967, dw = -0.06232, nw = 1651 zThAr.0008.ec.fits: ap = 64, w1 = 4915.423, w2 = 4813.48, dw = -0.06178, nw = 1651 zThAr.0008.ec.fits: ap = 65, w1 = 4873.776, w2 = 4772.697, dw = -0.06126, nw = 1651 zThAr.0008.ec.fits: ap = 66, w1 = 4832.828, w2 = 4732.6, dw = -0.06074, nw = 1651 zThAr.0008.ec.fits: ap = 67, w1 = 4792.562, w2 = 4693.171, dw = -0.06024, nw = 1651 zThAr.0008.ec.fits: ap = 68, w1 = 4752.963, w2 = 4654.393, dw = -0.05974, nw = 1651 zThAr.0008.ec.fits: ap = 69, w1 = 4714.012, w2 = 4616.252, dw = -0.05925, nw = 1651 zThAr.0008.ec.fits: ap = 70, w1 = 4675.696, w2 = 4578.731, dw = -0.05877, nw = 1651 zThAr.0008.ec.fits: ap = 71, w1 = 4637.997, w2 = 4541.815, dw = -0.05829, nw = 1651 zThAr.0008.ec.fits: ap = 72, w1 = 4600.901, w2 = 4505.49, dw = -0.05783, nw = 1651 zThAr.0008.ec.fits: ap = 73, w1 = 4564.395, w2 = 4469.741, dw = -0.05737, nw = 1651 zThAr.0008.ec.fits: ap = 74, w1 = 4528.463, w2 = 4434.556, dw = -0.05691, nw = 1651 zThAr.0008.ec.fits: ap = 75, w1 = 4493.093, w2 = 4399.92, dw = -0.05647, nw = 1651 zThAr.0008.ec.fits: ap = 76, w1 = 4458.272, w2 = 4365.822, dw = -0.05603, nw = 1651 zThAr.0008.ec.fits: ap = 77, w1 = 4423.986, w2 = 4332.248, dw = -0.0556, nw = 1651 zThAr.0008.ec.fits: ap = 78, w1 = 4390.224, w2 = 4299.187, dw = -0.05517, nw = 1651 zThAr.0008.ec.fits: ap = 79, w1 = 4356.974, w2 = 4266.627, dw = -0.05476, nw = 1651 zThAr.0008.ec.fits: ap = 80, w1 = 4324.224, w2 = 4234.557, dw = -0.05434, nw = 1651 zThAr.0008.ec.fits: ap = 81, w1 = 4291.962, w2 = 4202.965, dw = -0.05394, nw = 1651 zThAr.0008.ec.fits: ap = 82, w1 = 4260.179, w2 = 4171.842, dw = -0.05354, nw = 1651 zThAr.0008.ec.fits: ap = 83, w1 = 4228.864, w2 = 4141.176, dw = -0.05314, nw = 1651 zThAr.0008.ec.fits: ap = 84, w1 = 4198.005, w2 = 4110.958, dw = -0.05276, nw = 1651 zThAr.0008.ec.fits: ap = 85, w1 = 4167.594, w2 = 4081.179, dw = -0.05237, nw = 1651 zThAr.0008.ec.fits: ap = 86, w1 = 4137.621, w2 = 4051.827, dw = -0.052, nw = 1651 zThAr.0008.ec.fits: ap = 87, w1 = 4108.076, w2 = 4022.896, dw = -0.05162, nw = 1651 zThAr.0008.ec.fits: ap = 88, w1 = 4078.95, w2 = 3994.375, dw = -0.05126, nw = 1651 zThAr.0008.ec.fits: ap = 89, w1 = 4050.235, w2 = 3966.255, dw = -0.0509, nw = 1651 zThAr.0008.ec.fits: ap = 90, w1 = 4021.921, w2 = 3938.529, dw = -0.05054, nw = 1651 zThAr.0008.ec.fits: ap = 91, w1 = 3994.001, w2 = 3911.189, dw = -0.05019, nw = 1651 zThAr.0008.ec.fits: ap = 92, w1 = 3966.466, w2 = 3884.225, dw = -0.04984, nw = 1651 zThAr.0008.ec.fits: ap = 93, w1 = 3939.308, w2 = 3857.631, dw = -0.0495, nw = 1651 zThAr.0008.ec.fits: ap = 94, w1 = 3912.52, w2 = 3831.399, dw = -0.04916, nw = 1651 zThAr.0008.ec.fits: ap = 95, w1 = 3886.094, w2 = 3805.522, dw = -0.04883, nw = 1651 zThAr.0008.ec.fits: ap = 96, w1 = 3860.023, w2 = 3779.992, dw = -0.0485, nw = 1651 zThAr.0008.ec.fits: ap = 97, w1 = 3834.3, w2 = 3754.802, dw = -0.04818, nw = 1651 zThAr.0008.ec.fits: ap = 98, w1 = 3808.917, w2 = 3729.946, dw = -0.04786, nw = 1651 zThAr.0008.ec.fits: ap = 99, w1 = 3783.869, w2 = 3705.418, dw = -0.04755, nw = 1651 zThAr.0008.ec.fits: ap = 100, w1 = 3759.148, w2 = 3681.21, dw = -0.04724, nw = 1651 zThAr.0008.ec.fits: ap = 101, w1 = 3734.749, w2 = 3657.317, dw = -0.04693, nw = 1651 zThAr.0008.ec.fits: ap = 102, w1 = 3710.664, w2 = 3633.732, dw = -0.04663, nw = 1651 zThAr.0008.ec.fits: ap = 103, w1 = 3686.889, w2 = 3610.45, dw = -0.04633, nw = 1651 zThAr.0008.ec.fits: ap = 104, w1 = 3663.416, w2 = 3587.465, dw = -0.04603, nw = 1651 zThAr.0008.ec.fits: ap = 105, w1 = 3640.241, w2 = 3564.77, dw = -0.04574, nw = 1651 zThAr.0008.ec.fits: ap = 106, w1 = 3617.358, w2 = 3542.361, dw = -0.04545, nw = 1651 zThAr.0008.ec.fits: ap = 107, w1 = 3594.76, w2 = 3520.233, dw = -0.04517, nw = 1651 ThAr.0009.ec.fits: REFSPEC1 = 'ThAr.0009.ec 1.' zThAr.0009.ec.fits: ap = 1, w1 = 10649.19, w2 = 10428.12, dw = -0.13398, nw = 1651 zThAr.0009.ec.fits: ap = 2, w1 = 10455.58, w2 = 10238.54, dw = -0.13154, nw = 1651 zThAr.0009.ec.fits: ap = 3, w1 = 10268.88, w2 = 10055.73, dw = -0.12919, nw = 1651 zThAr.0009.ec.fits: ap = 4, w1 = 10088.74, w2 = 9879.326, dw = -0.12692, nw = 1651 zThAr.0009.ec.fits: ap = 5, w1 = 9914.811, w2 = 9709.01, dw = -0.12473, nw = 1651 zThAr.0009.ec.fits: ap = 6, w1 = 9746.776, w2 = 9544.466, dw = -0.12261, nw = 1651 zThAr.0009.ec.fits: ap = 7, w1 = 9584.342, w2 = 9385.408, dw = -0.12057, nw = 1651 zThAr.0009.ec.fits: ap = 8, w1 = 9427.234, w2 = 9231.564, dw = -0.11859, nw = 1651 zThAr.0009.ec.fits: ap = 9, w1 = 9275.193, w2 = 9082.683, dw = -0.11667, nw = 1651 zThAr.0009.ec.fits: ap = 10, w1 = 9127.98, w2 = 8938.528, dw = -0.11482, nw = 1651 zThAr.0009.ec.fits: ap = 11, w1 = 8985.366, w2 = 8798.878, dw = -0.11302, nw = 1651 zThAr.0009.ec.fits: ap = 12, w1 = 8847.141, w2 = 8663.525, dw = -0.11128, nw = 1651 zThAr.0009.ec.fits: ap = 13, w1 = 8713.104, w2 = 8532.273, dw = -0.10959, nw = 1651 zThAr.0009.ec.fits: ap = 14, w1 = 8583.069, w2 = 8404.939, dw = -0.10796, nw = 1651 zThAr.0009.ec.fits: ap = 15, w1 = 8456.858, w2 = 8281.35, dw = -0.10637, nw = 1651 zThAr.0009.ec.fits: ap = 16, w1 = 8334.305, w2 = 8161.344, dw = -0.10483, nw = 1651 zThAr.0009.ec.fits: ap = 17, w1 = 8215.254, w2 = 8044.766, dw = -0.10333, nw = 1651 zThAr.0009.ec.fits: ap = 18, w1 = 8099.556, w2 = 7931.472, dw = -0.10187, nw = 1651 zThAr.0009.ec.fits: ap = 19, w1 = 7987.072, w2 = 7821.325, dw = -0.10045, nw = 1651 zThAr.0009.ec.fits: ap = 20, w1 = 7877.67, w2 = 7714.195, dw = -0.09908, nw = 1651 zThAr.0009.ec.fits: ap = 21, w1 = 7771.224, w2 = 7609.961, dw = -0.09774, nw = 1651 zThAr.0009.ec.fits: ap = 22, w1 = 7667.617, w2 = 7508.507, dw = -0.09643, nw = 1651 zThAr.0009.ec.fits: ap = 23, w1 = 7566.737, w2 = 7409.722, dw = -0.09516, nw = 1651 zThAr.0009.ec.fits: ap = 24, w1 = 7468.477, w2 = 7313.503, dw = -0.09392, nw = 1651 zThAr.0009.ec.fits: ap = 25, w1 = 7372.736, w2 = 7219.752, dw = -0.09272, nw = 1651 zThAr.0009.ec.fits: ap = 26, w1 = 7279.419, w2 = 7128.373, dw = -0.09154, nw = 1651 zThAr.0009.ec.fits: ap = 27, w1 = 7188.435, w2 = 7039.279, dw = -0.0904, nw = 1651 zThAr.0009.ec.fits: ap = 28, w1 = 7099.698, w2 = 6952.386, dw = -0.08928, nw = 1651 zThAr.0009.ec.fits: ap = 29, w1 = 7013.125, w2 = 6867.611, dw = -0.08819, nw = 1651 zThAr.0009.ec.fits: ap = 30, w1 = 6928.638, w2 = 6784.879, dw = -0.08713, nw = 1651 zThAr.0009.ec.fits: ap = 31, w1 = 6846.163, w2 = 6704.117, dw = -0.08609, nw = 1651 zThAr.0009.ec.fits: ap = 32, w1 = 6765.629, w2 = 6625.255, dw = -0.08507, nw = 1651 zThAr.0009.ec.fits: ap = 33, w1 = 6686.967, w2 = 6548.228, dw = -0.08408, nw = 1651 zThAr.0009.ec.fits: ap = 34, w1 = 6610.114, w2 = 6472.971, dw = -0.08312, nw = 1651 zThAr.0009.ec.fits: ap = 35, w1 = 6535.007, w2 = 6399.424, dw = -0.08217, nw = 1651 zThAr.0009.ec.fits: ap = 36, w1 = 6461.588, w2 = 6327.53, dw = -0.08125, nw = 1651 zThAr.0009.ec.fits: ap = 37, w1 = 6389.801, w2 = 6257.234, dw = -0.08034, nw = 1651 zThAr.0009.ec.fits: ap = 38, w1 = 6319.591, w2 = 6188.483, dw = -0.07946, nw = 1651 zThAr.0009.ec.fits: ap = 39, w1 = 6250.908, w2 = 6121.227, dw = -0.07859, nw = 1651 zThAr.0009.ec.fits: ap = 40, w1 = 6183.702, w2 = 6055.417, dw = -0.07775, nw = 1651 zThAr.0009.ec.fits: ap = 41, w1 = 6117.926, w2 = 5991.007, dw = -0.07692, nw = 1651 zThAr.0009.ec.fits: ap = 42, w1 = 6053.535, w2 = 5927.953, dw = -0.07611, nw = 1651 zThAr.0009.ec.fits: ap = 43, w1 = 5990.486, w2 = 5866.213, dw = -0.07532, nw = 1651 zThAr.0009.ec.fits: ap = 44, w1 = 5928.736, w2 = 5805.746, dw = -0.07454, nw = 1651 zThAr.0009.ec.fits: ap = 45, w1 = 5868.247, w2 = 5746.513, dw = -0.07378, nw = 1651 zThAr.0009.ec.fits: ap = 46, w1 = 5808.979, w2 = 5688.477, dw = -0.07303, nw = 1651 zThAr.0009.ec.fits: ap = 47, w1 = 5750.898, w2 = 5631.601, dw = -0.0723, nw = 1651 zThAr.0009.ec.fits: ap = 48, w1 = 5693.966, w2 = 5575.852, dw = -0.07158, nw = 1651 zThAr.0009.ec.fits: ap = 49, w1 = 5638.151, w2 = 5521.196, dw = -0.07088, nw = 1651 zThAr.0009.ec.fits: ap = 50, w1 = 5583.419, w2 = 5467.601, dw = -0.07019, nw = 1651 zThAr.0009.ec.fits: ap = 51, w1 = 5529.74, w2 = 5415.037, dw = -0.06952, nw = 1651 zThAr.0009.ec.fits: ap = 52, w1 = 5477.084, w2 = 5363.475, dw = -0.06885, nw = 1651 zThAr.0009.ec.fits: ap = 53, w1 = 5425.422, w2 = 5312.885, dw = -0.0682, nw = 1651 zThAr.0009.ec.fits: ap = 54, w1 = 5374.725, w2 = 5263.241, dw = -0.06757, nw = 1651 zThAr.0009.ec.fits: ap = 55, w1 = 5324.967, w2 = 5214.516, dw = -0.06694, nw = 1651 zThAr.0009.ec.fits: ap = 56, w1 = 5276.122, w2 = 5166.686, dw = -0.06632, nw = 1651 zThAr.0009.ec.fits: ap = 57, w1 = 5228.165, w2 = 5119.725, dw = -0.06572, nw = 1651 zThAr.0009.ec.fits: ap = 58, w1 = 5181.072, w2 = 5073.611, dw = -0.06513, nw = 1651 zThAr.0009.ec.fits: ap = 59, w1 = 5134.821, w2 = 5028.32, dw = -0.06455, nw = 1651 zThAr.0009.ec.fits: ap = 60, w1 = 5089.388, w2 = 4983.831, dw = -0.06397, nw = 1651 zThAr.0009.ec.fits: ap = 61, w1 = 5044.752, w2 = 4940.122, dw = -0.06341, nw = 1651 zThAr.0009.ec.fits: ap = 62, w1 = 5000.893, w2 = 4897.174, dw = -0.06286, nw = 1651 zThAr.0009.ec.fits: ap = 63, w1 = 4957.79, w2 = 4854.966, dw = -0.06232, nw = 1651 zThAr.0009.ec.fits: ap = 64, w1 = 4915.424, w2 = 4813.48, dw = -0.06178, nw = 1651 zThAr.0009.ec.fits: ap = 65, w1 = 4873.776, w2 = 4772.697, dw = -0.06126, nw = 1651 zThAr.0009.ec.fits: ap = 66, w1 = 4832.828, w2 = 4732.599, dw = -0.06074, nw = 1651 zThAr.0009.ec.fits: ap = 67, w1 = 4792.563, w2 = 4693.17, dw = -0.06024, nw = 1651 zThAr.0009.ec.fits: ap = 68, w1 = 4752.963, w2 = 4654.393, dw = -0.05974, nw = 1651 zThAr.0009.ec.fits: ap = 69, w1 = 4714.013, w2 = 4616.252, dw = -0.05925, nw = 1651 zThAr.0009.ec.fits: ap = 70, w1 = 4675.696, w2 = 4578.731, dw = -0.05877, nw = 1651 zThAr.0009.ec.fits: ap = 71, w1 = 4637.997, w2 = 4541.815, dw = -0.05829, nw = 1651 zThAr.0009.ec.fits: ap = 72, w1 = 4600.901, w2 = 4505.49, dw = -0.05783, nw = 1651 zThAr.0009.ec.fits: ap = 73, w1 = 4564.395, w2 = 4469.741, dw = -0.05737, nw = 1651 zThAr.0009.ec.fits: ap = 74, w1 = 4528.463, w2 = 4434.556, dw = -0.05691, nw = 1651 zThAr.0009.ec.fits: ap = 75, w1 = 4493.093, w2 = 4399.921, dw = -0.05647, nw = 1651 zThAr.0009.ec.fits: ap = 76, w1 = 4458.272, w2 = 4365.823, dw = -0.05603, nw = 1651 zThAr.0009.ec.fits: ap = 77, w1 = 4423.986, w2 = 4332.249, dw = -0.0556, nw = 1651 zThAr.0009.ec.fits: ap = 78, w1 = 4390.224, w2 = 4299.188, dw = -0.05517, nw = 1651 zThAr.0009.ec.fits: ap = 79, w1 = 4356.974, w2 = 4266.628, dw = -0.05475, nw = 1651 zThAr.0009.ec.fits: ap = 80, w1 = 4324.223, w2 = 4234.558, dw = -0.05434, nw = 1651 zThAr.0009.ec.fits: ap = 81, w1 = 4291.962, w2 = 4202.967, dw = -0.05394, nw = 1651 zThAr.0009.ec.fits: ap = 82, w1 = 4260.179, w2 = 4171.844, dw = -0.05354, nw = 1651 zThAr.0009.ec.fits: ap = 83, w1 = 4228.863, w2 = 4141.179, dw = -0.05314, nw = 1651 zThAr.0009.ec.fits: ap = 84, w1 = 4198.004, w2 = 4110.961, dw = -0.05275, nw = 1651 zThAr.0009.ec.fits: ap = 85, w1 = 4167.593, w2 = 4081.182, dw = -0.05237, nw = 1651 zThAr.0009.ec.fits: ap = 86, w1 = 4137.62, w2 = 4051.831, dw = -0.05199, nw = 1651 zThAr.0009.ec.fits: ap = 87, w1 = 4108.075, w2 = 4022.9, dw = -0.05162, nw = 1651 zThAr.0009.ec.fits: ap = 88, w1 = 4078.949, w2 = 3994.379, dw = -0.05125, nw = 1651 zThAr.0009.ec.fits: ap = 89, w1 = 4050.233, w2 = 3966.26, dw = -0.05089, nw = 1651 zThAr.0009.ec.fits: ap = 90, w1 = 4021.919, w2 = 3938.534, dw = -0.05054, nw = 1651 zThAr.0009.ec.fits: ap = 91, w1 = 3993.999, w2 = 3911.194, dw = -0.05018, nw = 1651 zThAr.0009.ec.fits: ap = 92, w1 = 3966.464, w2 = 3884.231, dw = -0.04984, nw = 1651 zThAr.0009.ec.fits: ap = 93, w1 = 3939.306, w2 = 3857.637, dw = -0.0495, nw = 1651 zThAr.0009.ec.fits: ap = 94, w1 = 3912.518, w2 = 3831.406, dw = -0.04916, nw = 1651 zThAr.0009.ec.fits: ap = 95, w1 = 3886.092, w2 = 3805.529, dw = -0.04883, nw = 1651 zThAr.0009.ec.fits: ap = 96, w1 = 3860.02, w2 = 3779.999, dw = -0.0485, nw = 1651 zThAr.0009.ec.fits: ap = 97, w1 = 3834.297, w2 = 3754.81, dw = -0.04817, nw = 1651 zThAr.0009.ec.fits: ap = 98, w1 = 3808.914, w2 = 3729.955, dw = -0.04785, nw = 1651 zThAr.0009.ec.fits: ap = 99, w1 = 3783.866, w2 = 3705.427, dw = -0.04754, nw = 1651 zThAr.0009.ec.fits: ap = 100, w1 = 3759.145, w2 = 3681.22, dw = -0.04723, nw = 1651 zThAr.0009.ec.fits: ap = 101, w1 = 3734.745, w2 = 3657.327, dw = -0.04692, nw = 1651 zThAr.0009.ec.fits: ap = 102, w1 = 3710.66, w2 = 3633.743, dw = -0.04662, nw = 1651 zThAr.0009.ec.fits: ap = 103, w1 = 3686.885, w2 = 3610.461, dw = -0.04632, nw = 1651 zThAr.0009.ec.fits: ap = 104, w1 = 3663.412, w2 = 3587.476, dw = -0.04602, nw = 1651 zThAr.0009.ec.fits: ap = 105, w1 = 3640.236, w2 = 3564.782, dw = -0.04573, nw = 1651 zThAr.0009.ec.fits: ap = 106, w1 = 3617.353, w2 = 3542.374, dw = -0.04544, nw = 1651 zThAr.0009.ec.fits: ap = 107, w1 = 3594.755, w2 = 3520.246, dw = -0.04516, nw = 1651 Continuum fitting the spectra... Combining spectra... Dec 10 13:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120628.0001.ec.fits[ 1] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 2] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 3] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 4] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 5] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 6] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 7] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 8] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 9] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 10] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 11] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 12] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 13] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 14] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 15] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 16] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 17] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 18] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 19] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 20] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 21] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 22] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 23] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 24] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 25] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 26] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 27] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 28] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 29] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 30] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 31] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 32] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 33] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 34] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 35] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 36] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 37] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 38] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 39] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 40] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 41] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 42] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 43] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 44] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 45] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 46] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 47] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 48] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 49] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 50] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 51] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 52] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 53] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 54] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 55] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 56] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 57] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 58] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 59] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 60] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 61] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 62] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 63] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 64] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 65] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 66] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 67] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 68] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 69] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 70] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 71] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 72] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 73] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 74] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 75] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 76] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 77] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 78] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 79] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 80] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 81] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 82] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 83] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 84] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 85] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 86] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 87] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 88] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 89] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 90] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 91] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 92] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 93] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 94] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 95] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 96] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 97] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 98] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[ 99] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[100] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[101] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[102] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[103] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[104] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[105] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[106] 1800.0 1.000 0. 0.009 120628.0001.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sum120628.0001.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 Dec 10 13:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120628.0002.ec.fits[ 1] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 2] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 3] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 4] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 5] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 6] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 7] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 8] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 9] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 10] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 11] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 12] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 13] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 14] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 15] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 16] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 17] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 18] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 19] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 20] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 21] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 22] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 23] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 24] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 25] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 26] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 27] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 28] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 29] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 30] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 31] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 32] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 33] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 34] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 35] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 36] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 37] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 38] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 39] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 40] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 41] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 42] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 43] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 44] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 45] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 46] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 47] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 48] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 49] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 50] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 51] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 52] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 53] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 54] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 55] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 56] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 57] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 58] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 59] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 60] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 61] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 62] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 63] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 64] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 65] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 66] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 67] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 68] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 69] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 70] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 71] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 72] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 73] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 74] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 75] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 76] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 77] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 78] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 79] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 80] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 81] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 82] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 83] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 84] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 85] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 86] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 87] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 88] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 89] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 90] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 91] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 92] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 93] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 94] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 95] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 96] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 97] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 98] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[ 99] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[100] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[101] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[102] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[103] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[104] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[105] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[106] 1800.0 1.000 0. 0.009 120628.0002.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sum120628.0002.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 Dec 10 13:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120628.0003.ec.fits[ 1] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 2] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 3] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 4] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 5] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 6] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 7] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 8] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 9] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 10] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 11] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 12] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 13] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 14] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 15] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 16] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 17] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 18] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 19] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 20] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 21] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 22] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 23] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 24] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 25] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 26] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 27] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 28] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 29] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 30] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 31] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 32] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 33] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 34] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 35] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 36] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 37] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 38] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 39] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 40] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 41] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 42] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 43] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 44] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 45] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 46] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 47] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 48] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 49] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 50] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 51] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 52] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 53] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 54] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 55] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 56] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 57] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 58] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 59] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 60] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 61] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 62] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 63] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 64] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 65] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 66] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 67] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 68] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 69] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 70] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 71] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 72] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 73] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 74] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 75] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 76] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 77] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 78] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 79] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 80] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 81] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 82] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 83] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 84] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 85] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 86] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 87] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 88] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 89] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 90] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 91] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 92] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 93] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 94] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 95] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 96] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 97] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 98] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[ 99] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[100] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[101] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[102] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[103] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[104] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[105] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[106] 1800.0 1.000 0. 0.009 120628.0003.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sum120628.0003.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 Dec 10 13:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120628.0004.ec.fits[ 1] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 2] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 3] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 4] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 5] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 6] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 7] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 8] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 9] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 10] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 11] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 12] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 13] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 14] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 15] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 16] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 17] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 18] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 19] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 20] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 21] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 22] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 23] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 24] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 25] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 26] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 27] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 28] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 29] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 30] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 31] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 32] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 33] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 34] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 35] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 36] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 37] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 38] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 39] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 40] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 41] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 42] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 43] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 44] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 45] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 46] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 47] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 48] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 49] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 50] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 51] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 52] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 53] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 54] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 55] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 56] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 57] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 58] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 59] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 60] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 61] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 62] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 63] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 64] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 65] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 66] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 67] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 68] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 69] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 70] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 71] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 72] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 73] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 74] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 75] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 76] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 77] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 78] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 79] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 80] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 81] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 82] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 83] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 84] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 85] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 86] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 87] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 88] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 89] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 90] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 91] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 92] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 93] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 94] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 95] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 96] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 97] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 98] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[ 99] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[100] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[101] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[102] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[103] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[104] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[105] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[106] 1800.0 1.000 0. 0.009 120628.0004.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sum120628.0004.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 Dec 10 13:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120628.0005.ec.fits[ 1] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 2] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 3] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 4] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 5] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 6] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 7] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 8] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 9] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 10] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 11] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 12] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 13] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 14] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 15] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 16] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 17] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 18] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 19] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 20] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 21] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 22] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 23] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 24] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 25] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 26] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 27] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 28] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 29] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 30] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 31] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 32] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 33] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 34] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 35] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 36] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 37] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 38] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 39] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 40] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 41] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 42] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 43] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 44] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 45] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 46] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 47] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 48] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 49] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 50] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 51] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 52] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 53] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 54] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 55] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 56] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 57] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 58] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 59] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 60] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 61] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 62] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 63] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 64] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 65] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 66] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 67] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 68] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 69] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 70] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 71] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 72] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 73] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 74] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 75] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 76] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 77] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 78] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 79] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 80] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 81] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 82] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 83] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 84] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 85] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 86] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 87] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 88] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 89] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 90] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 91] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 92] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 93] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 94] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 95] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 96] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 97] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 98] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[ 99] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[100] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[101] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[102] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[103] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[104] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[105] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[106] 2100.0 1.000 0. 0.009 120628.0005.ec.fits[107] 2100.0 1.000 0. 0.009 Output image = sum120628.0005.ec.fits, ncombine = 107, exptime = 224700. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 Dec 10 13:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120628.0001.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120628.0001.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sumfitcont120628.0001.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 Dec 10 13:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120628.0002.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120628.0002.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sumfitcont120628.0002.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 Dec 10 13:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120628.0003.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120628.0003.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sumfitcont120628.0003.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 Dec 10 13:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120628.0004.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont120628.0004.ec.fits[107] 1800.0 1.000 0. 0.009 Output image = sumfitcont120628.0004.ec.fits, ncombine = 107, exptime = 192600. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 Dec 10 13:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120628.0005.ec.fits[ 1] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 2] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 3] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 4] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 5] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 6] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 7] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 8] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 9] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 10] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 11] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 12] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 13] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 14] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 15] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 16] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 17] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 18] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 19] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 20] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 21] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 22] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 23] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 24] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 25] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 26] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 27] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 28] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 29] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 30] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 31] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 32] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 33] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 34] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 35] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 36] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 37] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 38] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 39] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 40] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 41] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 42] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 43] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 44] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 45] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 46] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 47] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 48] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 49] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 50] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 51] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 52] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 53] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 54] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 55] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 56] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 57] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 58] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 59] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 60] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 61] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 62] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 63] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 64] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 65] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 66] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 67] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 68] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 69] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 70] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 71] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 72] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 73] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 74] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 75] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 76] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 77] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 78] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 79] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 80] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 81] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 82] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 83] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 84] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 85] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 86] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 87] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 88] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 89] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 90] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 91] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 92] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 93] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 94] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 95] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 96] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 97] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 98] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[ 99] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[100] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[101] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[102] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[103] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[104] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[105] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[106] 2100.0 1.000 0. 0.009 fitcont120628.0005.ec.fits[107] 2100.0 1.000 0. 0.009 Output image = sumfitcont120628.0005.ec.fits, ncombine = 107, exptime = 224700. w1 = 3520.339, w2 = 10649.17, dw = 0.04508667, nw = 158115., dtype = 0 192600. fullspec120628.0001.ec.fits,EXPTIME: 192600. -> 1800.0 fullspec120628.0001.ec.fits updated 192600. fullspec120628.0002.ec.fits,EXPTIME: 192600. -> 1800.0 fullspec120628.0002.ec.fits updated 192600. fullspec120628.0003.ec.fits,EXPTIME: 192600. -> 1800.0 fullspec120628.0003.ec.fits updated 192600. fullspec120628.0004.ec.fits,EXPTIME: 192600. -> 1800.0 fullspec120628.0004.ec.fits updated 224700. fullspec120628.0005.ec.fits,EXPTIME: 224700. -> 2100.0 fullspec120628.0005.ec.fits updated ALL DONE! Yay! (=^.^=)