Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 120525.0002.fits,dispaxis = 1 120525.0002.fits updated add 120525.0003.fits,dispaxis = 1 120525.0003.fits updated add 120525.0004.fits,dispaxis = 1 120525.0004.fits updated add 120525.0005.fits,dispaxis = 1 120525.0005.fits updated add 120525.0006.fits,dispaxis = 1 120525.0006.fits updated add 120525.0007.fits,dispaxis = 1 120525.0007.fits updated add 120525.0008.fits,dispaxis = 1 120525.0008.fits updated add 120525.0009.fits,dispaxis = 1 120525.0009.fits updated add 120525.0010.fits,dispaxis = 1 120525.0010.fits updated add 120525.0011.fits,dispaxis = 1 120525.0011.fits updated add 120525.0012.fits,dispaxis = 1 120525.0012.fits updated add 120525.0013.fits,dispaxis = 1 120525.0013.fits updated add 120525.0014.fits,dispaxis = 1 120525.0014.fits updated add 120525.0015.fits,dispaxis = 1 120525.0015.fits updated add 120525.0016.fits,dispaxis = 1 120525.0016.fits updated add 120525.0017.fits,dispaxis = 1 120525.0017.fits updated add 120525.0018.fits,dispaxis = 1 120525.0018.fits updated add 120525.0019.fits,dispaxis = 1 120525.0019.fits updated add 120525.0020.fits,dispaxis = 1 120525.0020.fits updated add 120525.0021.fits,dispaxis = 1 120525.0021.fits updated add 120525.0022.fits,dispaxis = 1 120525.0022.fits updated add 120525.0023.fits,dispaxis = 1 120525.0023.fits updated add 120525.0024.fits,dispaxis = 1 120525.0024.fits updated add 120525.0028.fits,dispaxis = 1 120525.0028.fits updated add 120525.0029.fits,dispaxis = 1 120525.0029.fits updated add 120525.0030.fits,dispaxis = 1 120525.0030.fits updated add 120525.0031.fits,dispaxis = 1 120525.0031.fits updated add 120525.0032.fits,dispaxis = 1 120525.0032.fits updated add 120525.0033.fits,dispaxis = 1 120525.0033.fits updated add 120525.0034.fits,dispaxis = 1 120525.0034.fits updated add 120525.0035.fits,dispaxis = 1 120525.0035.fits updated add 120525.0036.fits,dispaxis = 1 120525.0036.fits updated add 120525.0037.fits,dispaxis = 1 120525.0037.fits updated add 120525.0038.fits,dispaxis = 1 120525.0038.fits updated add 120525.0039.fits,dispaxis = 1 120525.0039.fits updated add 120525.0040.fits,dispaxis = 1 120525.0040.fits updated add 120526.0010.fits,dispaxis = 1 120526.0010.fits updated add 120526.0011.fits,dispaxis = 1 120526.0011.fits updated add 120526.0012.fits,dispaxis = 1 120526.0012.fits updated FIXPIX: image 120525.0022.fits with mask echmask.pl FIXPIX: image 120525.0023.fits with mask echmask.pl FIXPIX: image 120525.0024.fits with mask echmask.pl FIXPIX: image 120525.0038.fits with mask echmask.pl FIXPIX: image 120525.0039.fits with mask echmask.pl FIXPIX: image 120525.0040.fits with mask echmask.pl FIXPIX: image 120526.0010.fits with mask echmask.pl FIXPIX: image 120526.0011.fits with mask echmask.pl FIXPIX: image 120526.0012.fits with mask echmask.pl FIXPIX: image 120525.0002.fits with mask echmask.pl FIXPIX: image 120525.0003.fits with mask echmask.pl FIXPIX: image 120525.0004.fits with mask echmask.pl FIXPIX: image 120525.0005.fits with mask echmask.pl FIXPIX: image 120525.0006.fits with mask echmask.pl FIXPIX: image 120525.0007.fits with mask echmask.pl FIXPIX: image 120525.0008.fits with mask echmask.pl FIXPIX: image 120525.0009.fits with mask echmask.pl FIXPIX: image 120525.0010.fits with mask echmask.pl FIXPIX: image 120525.0011.fits with mask echmask.pl FIXPIX: image 120525.0012.fits with mask echmask.pl FIXPIX: image 120525.0013.fits with mask echmask.pl FIXPIX: image 120525.0014.fits with mask echmask.pl FIXPIX: image 120525.0015.fits with mask echmask.pl FIXPIX: image 120525.0016.fits with mask echmask.pl FIXPIX: image 120525.0017.fits with mask echmask.pl FIXPIX: image 120525.0018.fits with mask echmask.pl FIXPIX: image 120525.0019.fits with mask echmask.pl FIXPIX: image 120525.0020.fits with mask echmask.pl FIXPIX: image 120525.0021.fits with mask echmask.pl Dec 10 14:43: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp 120525.0028.fits 0.0 120525.0029.fits 0.0 120525.0030.fits 0.0 120525.0031.fits 0.0 120525.0032.fits 0.0 120525.0033.fits 0.0 120525.0034.fits 0.0 120525.0035.fits 0.0 120525.0036.fits 0.0 120525.0037.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 120525.0002.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0002.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0003.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0003.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0004.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0004.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0005.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0005.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0006.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0006.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0007.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0007.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0008.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0008.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0009.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0009.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0010.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0010.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0011.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0011.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0012.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0012.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0013.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0013.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0014.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0014.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0015.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0015.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0016.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0016.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0017.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0017.fits: Dec 10 14:44 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120525.0022.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0022.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0023.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0023.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0024.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0024.fits: Dec 10 14:44 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... 120525.0038.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0038.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0039.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0039.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0040.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0040.fits: Dec 10 14:44 Zero level correction image is bias_fid 120526.0010.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120526.0010.fits: Dec 10 14:44 Zero level correction image is bias_fid 120526.0011.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120526.0011.fits: Dec 10 14:44 Zero level correction image is bias_fid 120526.0012.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120526.0012.fits: Dec 10 14:44 Zero level correction image is bias_fid Calibrating ThAr arcs... 120525.0018.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0018.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0019.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0019.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0020.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0020.fits: Dec 10 14:44 Zero level correction image is bias_fid 120525.0021.fits: Dec 10 14:44 Trim data section is [200:1850,1:2048] 120525.0021.fits: Dec 10 14:44 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 14:46: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120525.0038.fits 200.0 120525.0039.fits 200.0 120525.0040.fits 200.0 120526.0010.fits 200.0 120526.0011.fits 200.0 120526.0012.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 6 Dec 10 14:46: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp 120525.0022.fits 7.0 120525.0023.fits 7.0 120525.0024.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 10 14:46: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1611. Dec 10 14:46: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1612. Dec 10 14:46: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1613. Dec 10 14:46: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1624. Dec 10 14:46: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1625. Dec 10 14:46: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1626. Dec 10 14:46: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1649. Dec 10 14:46: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1650. Dec 10 14:46: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1651. Dec 10 14:46: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1644. Dec 10 14:46: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1645. Dec 10 14:46: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1646. Dec 10 14:46: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1631. Dec 10 14:46: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1632. Dec 10 14:46: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1648. Dec 10 14:46: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1649. Dec 10 14:46: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1599. Dec 10 14:46: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1600. Dec 10 14:46: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1601. Dec 10 14:46: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 97. Dec 10 14:46: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 96. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1548. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1549. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1550. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1558. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1559. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1610. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1611. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1631. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1632. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1633. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 102. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 101. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 71. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 70. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 66. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 65. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 46. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 45. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 25. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 24. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 9. Dec 10 14:46: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 8. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 5.496 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... 120525.0018.fits Magnify image 120525.0018.fits to image 120525.0018.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0018.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0018.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120525.0019.fits Magnify image 120525.0019.fits to image 120525.0019.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0019.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0019.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120525.0020.fits Magnify image 120525.0020.fits to image 120525.0020.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0020.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0020.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... 120525.0021.fits Magnify image 120525.0021.fits to image 120525.0021.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 120525.0021.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0021.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120525.0002 Magnify image 120525.0002 to image 120525.0002. 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 120525.0002,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0002 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0002 -> noscat120525.0002 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120525.0003 Magnify image 120525.0003 to image 120525.0003. 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 120525.0003,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0003 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0003 -> noscat120525.0003 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:49: EXTRACT: WARNING - Aperture 106: Dec 10 14:49: Total variance weighted spectrum flux is 15269.89 Dec 10 14:49: Total unweighted spectrum flux is 6884.394 Dec 10 14:49: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4508477 Resampling the object by a factor of 4 in the y direction... 120525.0004 Magnify image 120525.0004 to image 120525.0004. 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 120525.0004,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0004 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0004 -> noscat120525.0004 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:51: EXTRACT: WARNING - Aperture 107: Dec 10 14:51: Total variance weighted spectrum flux is 7402.858 Dec 10 14:51: Total unweighted spectrum flux is 2431.62 Dec 10 14:51: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3284704 Resampling the object by a factor of 4 in the y direction... 120525.0005 Magnify image 120525.0005 to image 120525.0005. 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 120525.0005,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0005 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0005 -> noscat120525.0005 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:52: EXTRACT: WARNING - Aperture 107: Dec 10 14:52: Total variance weighted spectrum flux is 11332.31 Dec 10 14:52: Total unweighted spectrum flux is 1403.842 Dec 10 14:52: EXTRACT: Aperture 107 variance spectrum bias factor is 0.1238796 Resampling the object by a factor of 4 in the y direction... 120525.0006 Magnify image 120525.0006 to image 120525.0006. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0006,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0006 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0006 -> noscat120525.0006 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:54: EXTRACT: WARNING - Aperture 106: Dec 10 14:54: Total variance weighted spectrum flux is 12860.76 Dec 10 14:54: Total unweighted spectrum flux is 5716.26 Dec 10 14:54: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4444729 Dec 10 14:54: EXTRACT: WARNING - Aperture 107: Dec 10 14:54: Total variance weighted spectrum flux is 5526.589 Dec 10 14:54: Total unweighted spectrum flux is 2750.807 Dec 10 14:54: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4977405 Resampling the object by a factor of 4 in the y direction... 120525.0007 Magnify image 120525.0007 to image 120525.0007. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0007,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0007 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0007 -> noscat120525.0007 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:55: EXTRACT: WARNING - Aperture 107: Dec 10 14:55: Total variance weighted spectrum flux is 5096.422 Dec 10 14:55: Total unweighted spectrum flux is 1589.563 Dec 10 14:55: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3118978 Resampling the object by a factor of 4 in the y direction... 120525.0008 Magnify image 120525.0008 to image 120525.0008. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0008,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0008 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0008 -> noscat120525.0008 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120525.0009 Magnify image 120525.0009 to image 120525.0009. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0009,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0009 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0009 -> noscat120525.0009 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 14:58: EXTRACT: WARNING - Aperture 103: Dec 10 14:58: Total variance weighted spectrum flux is 9707.957 Dec 10 14:58: Total unweighted spectrum flux is 4657.271 Dec 10 14:58: EXTRACT: Aperture 103 variance spectrum bias factor is 0.4797376 Dec 10 14:58: EXTRACT: WARNING - Aperture 104: Dec 10 14:58: Total variance weighted spectrum flux is 9477.318 Dec 10 14:58: Total unweighted spectrum flux is 4706.62 Dec 10 14:58: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4966193 Dec 10 14:58: EXTRACT: WARNING - Aperture 105: Dec 10 14:58: Total variance weighted spectrum flux is 11002.77 Dec 10 14:58: Total unweighted spectrum flux is 4135.44 Dec 10 14:58: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3758545 Dec 10 14:58: EXTRACT: WARNING - Aperture 106: Dec 10 14:58: Total variance weighted spectrum flux is 15745.11 Dec 10 14:58: Total unweighted spectrum flux is 3468.245 Dec 10 14:58: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2202744 Dec 10 14:58: EXTRACT: WARNING - Aperture 107: Dec 10 14:58: Total variance weighted spectrum flux is 5213.425 Dec 10 14:58: Total unweighted spectrum flux is 2059.684 Dec 10 14:58: EXTRACT: Aperture 107 variance spectrum bias factor is 0.395073 Resampling the object by a factor of 4 in the y direction... 120525.0010 Magnify image 120525.0010 to image 120525.0010. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0010,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0010 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0010 -> noscat120525.0010 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120525.0011 Magnify image 120525.0011 to image 120525.0011. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0011,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0011 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0011 -> noscat120525.0011 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120525.0012 Magnify image 120525.0012 to image 120525.0012. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0012,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0012 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0012 -> noscat120525.0012 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 15:01: EXTRACT: WARNING - Aperture 106: Dec 10 15:01: Total variance weighted spectrum flux is 4956.851 Dec 10 15:01: Total unweighted spectrum flux is 1751.228 Dec 10 15:01: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3532944 Dec 10 15:01: EXTRACT: WARNING - Aperture 107: Dec 10 15:01: Total variance weighted spectrum flux is 5719.436 Dec 10 15:01: Total unweighted spectrum flux is 2464.229 Dec 10 15:01: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4308519 Resampling the object by a factor of 4 in the y direction... 120525.0013 Magnify image 120525.0013 to image 120525.0013. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0013,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0013 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0013 -> noscat120525.0013 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 15:02: EXTRACT: WARNING - Aperture 106: Dec 10 15:02: Total variance weighted spectrum flux is 9558.516 Dec 10 15:02: Total unweighted spectrum flux is 2824.233 Dec 10 15:02: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2954677 Dec 10 15:02: EXTRACT: WARNING - Aperture 107: Dec 10 15:02: Total variance weighted spectrum flux is 12251.72 Dec 10 15:02: Total unweighted spectrum flux is 6058.681 Dec 10 15:02: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4945168 Resampling the object by a factor of 4 in the y direction... 120525.0014 Magnify image 120525.0014 to image 120525.0014. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 120525.0014,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0014 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0014 -> noscat120525.0014 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 15:03: EXTRACT: WARNING - Aperture 104: Dec 10 15:03: Total variance weighted spectrum flux is 14899.69 Dec 10 15:03: Total unweighted spectrum flux is 7324.548 Dec 10 15:03: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4915906 Dec 10 15:03: EXTRACT: WARNING - Aperture 105: Dec 10 15:03: Total variance weighted spectrum flux is 13225.25 Dec 10 15:03: Total unweighted spectrum flux is 5408.966 Dec 10 15:03: EXTRACT: Aperture 105 variance spectrum bias factor is 0.408988 Dec 10 15:03: EXTRACT: WARNING - Aperture 106: Dec 10 15:03: Total variance weighted spectrum flux is 7977.177 Dec 10 15:03: Total unweighted spectrum flux is 3655.871 Dec 10 15:03: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4582913 Dec 10 15:03: EXTRACT: WARNING - Aperture 107: Dec 10 15:03: Total variance weighted spectrum flux is 11999.85 Dec 10 15:03: Total unweighted spectrum flux is 3162.654 Dec 10 15:03: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2635579 Resampling the object by a factor of 4 in the y direction... 120525.0015 Magnify image 120525.0015 to image 120525.0015. 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 120525.0015,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0015 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0015 -> noscat120525.0015 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120525.0016 Magnify image 120525.0016 to image 120525.0016. 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 120525.0016,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0016 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0016 -> noscat120525.0016 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 120525.0017 Magnify image 120525.0017 to image 120525.0017. 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 120525.0017,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 120525.0017 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 120525.0017 -> noscat120525.0017 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add 120525.0018.ec.fits,REFSPEC1 = 120525.0018.ec.fits 120525.0018.ec.fits updated add 120525.0019.ec.fits,REFSPEC1 = 120525.0019.ec.fits 120525.0019.ec.fits updated add 120525.0020.ec.fits,REFSPEC1 = 120525.0020.ec.fits 120525.0020.ec.fits updated add 120525.0021.ec.fits,REFSPEC1 = 120525.0021.ec.fits 120525.0021.ec.fits updated Flatfielding extracted arcs and object spectra... parameter 120525.0018.ec.fits,UTMIDDLE already exists 120525.0018.ec.fits updated 120525.0018.ec.fits,UTMIDDLE: 11:28:28.900 -> 11:29:02.900008 120525.0018.ec.fits updated parameter 120525.0019.ec.fits,UTMIDDLE already exists 120525.0019.ec.fits updated 120525.0019.ec.fits,UTMIDDLE: 11:31:20.310 -> 11:31:54.309195 120525.0019.ec.fits updated parameter 120525.0020.ec.fits,UTMIDDLE already exists 120525.0020.ec.fits updated 120525.0020.ec.fits,UTMIDDLE: 11:34:22.899 -> 11:34:56.899219 120525.0020.ec.fits updated parameter 120525.0021.ec.fits,UTMIDDLE already exists 120525.0021.ec.fits updated 120525.0021.ec.fits,UTMIDDLE: 11:37:25.248 -> 11:37:59.248193 120525.0021.ec.fits updated parameter 120525.0002.ec.fits,UTMIDDLE already exists 120525.0002.ec.fits updated 120525.0002.ec.fits,UTMIDDLE: 07:20:46.206 -> 07:21:20.205893 120525.0002.ec.fits updated parameter 120525.0003.ec.fits,UTMIDDLE already exists 120525.0003.ec.fits updated 120525.0003.ec.fits,UTMIDDLE: 07:34:26.163 -> 07:35:00.163024 120525.0003.ec.fits updated parameter 120525.0004.ec.fits,UTMIDDLE already exists 120525.0004.ec.fits updated 120525.0004.ec.fits,UTMIDDLE: 07:48:20.275 -> 07:48:54.275366 120525.0004.ec.fits updated parameter 120525.0005.ec.fits,UTMIDDLE already exists 120525.0005.ec.fits updated 120525.0005.ec.fits,UTMIDDLE: 08:02:29.216 -> 08:03:03.216083 120525.0005.ec.fits updated parameter 120525.0006.ec.fits,UTMIDDLE already exists 120525.0006.ec.fits updated 120525.0006.ec.fits,UTMIDDLE: 08:17:05.048 -> 08:17:39.048120 120525.0006.ec.fits updated parameter 120525.0007.ec.fits,UTMIDDLE already exists 120525.0007.ec.fits updated 120525.0007.ec.fits,UTMIDDLE: 08:33:39.969 -> 08:34:13.969431 120525.0007.ec.fits updated parameter 120525.0008.ec.fits,UTMIDDLE already exists 120525.0008.ec.fits updated 120525.0008.ec.fits,UTMIDDLE: 08:52:14.729 -> 08:52:48.729957 120525.0008.ec.fits updated parameter 120525.0009.ec.fits,UTMIDDLE already exists 120525.0009.ec.fits updated 120525.0009.ec.fits,UTMIDDLE: 09:12:29.571 -> 09:13:03.570713 120525.0009.ec.fits updated parameter 120525.0010.ec.fits,UTMIDDLE already exists 120525.0010.ec.fits updated 120525.0010.ec.fits,UTMIDDLE: 09:31:03.795 -> 09:31:37.795960 120525.0010.ec.fits updated parameter 120525.0011.ec.fits,UTMIDDLE already exists 120525.0011.ec.fits updated 120525.0011.ec.fits,UTMIDDLE: 09:44:38.541 -> 09:45:12.540644 120525.0011.ec.fits updated parameter 120525.0012.ec.fits,UTMIDDLE already exists 120525.0012.ec.fits updated 120525.0012.ec.fits,UTMIDDLE: 10:00:27.205 -> 10:01:01.204723 120525.0012.ec.fits updated parameter 120525.0013.ec.fits,UTMIDDLE already exists 120525.0013.ec.fits updated 120525.0013.ec.fits,UTMIDDLE: 10:16:32.916 -> 10:17:06.915554 120525.0013.ec.fits updated parameter 120525.0014.ec.fits,UTMIDDLE already exists 120525.0014.ec.fits updated 120525.0014.ec.fits,UTMIDDLE: 10:36:57.560 -> 10:37:31.560615 120525.0014.ec.fits updated parameter 120525.0015.ec.fits,UTMIDDLE already exists 120525.0015.ec.fits updated 120525.0015.ec.fits,UTMIDDLE: 10:57:01.451 -> 10:57:35.451538 120525.0015.ec.fits updated parameter 120525.0016.ec.fits,UTMIDDLE already exists 120525.0016.ec.fits updated 120525.0016.ec.fits,UTMIDDLE: 11:11:05.659 -> 11:11:39.659304 120525.0016.ec.fits updated parameter 120525.0017.ec.fits,UTMIDDLE already exists 120525.0017.ec.fits updated 120525.0017.ec.fits,UTMIDDLE: 11:21:42.312 -> 11:22:16.312332 120525.0017.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 120525.0002.ec.fits 2456072.80648 2456072.80805 2456072 120525.0003.ec.fits 2456072.81597 2456072.81652 2456072 120525.0004.ec.fits 2456072.82563 2456072.82730 2456072 120525.0005.ec.fits 2456072.83545 2456072.83672 2456072 120525.0006.ec.fits 2456072.84559 2456072.84632 2456072 120525.0007.ec.fits 2456072.85711 2456072.85789 2456072 120525.0008.ec.fits 2456072.87001 2456072.87098 2456072 120525.0009.ec.fits 2456072.88407 2456072.88500 2456072 120525.0010.ec.fits 2456072.89697 2456072.89864 2456072 120525.0011.ec.fits 2456072.90640 2456072.90766 2456072 120525.0012.ec.fits 2456072.91737 2456072.91811 2456072 120525.0013.ec.fits 2456072.92855 2456072.92934 2456072 120525.0014.ec.fits 2456072.94273 2456072.94366 2456072 120525.0015.ec.fits 2456072.95666 2456072.95764 2456072 120525.0016.ec.fits 2456072.96643 2456072.96699 2456072 120525.0017.ec.fits 2456072.97380 2456072.97537 2456072 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 15:07:16 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS 120525.0018.ec 1269/1599 1269/1269 0.0943 -0.684 -1.2E-6 0.012 120525.0019.ec 1594/1599 1594/1594 0.0557 -0.403 -7.1E-7 0.00616 120525.0020.ec 1594/1599 1594/1594 0.015 -0.109 -1.9E-7 0.00571 120525.0021.ec 1592/1599 1592/1592 -0.0227 0.165 2.90E-7 0.00742 [120525.0002.ec] refspec1='120525.0018.ec' [120525.0003.ec] refspec1='120525.0018.ec' [120525.0004.ec] refspec1='120525.0018.ec' [120525.0005.ec] refspec1='120525.0018.ec' [120525.0006.ec] refspec1='120525.0018.ec' [120525.0007.ec] refspec1='120525.0018.ec' [120525.0008.ec] refspec1='120525.0018.ec' [120525.0009.ec] refspec1='120525.0018.ec' [120525.0010.ec] refspec1='120525.0018.ec' [120525.0011.ec] refspec1='120525.0018.ec' [120525.0012.ec] refspec1='120525.0018.ec' [120525.0013.ec] refspec1='120525.0018.ec' [120525.0014.ec] refspec1='120525.0018.ec' [120525.0015.ec] refspec1='120525.0018.ec' [120525.0016.ec] refspec1='120525.0018.ec' [120525.0017.ec] refspec1='120525.0018.ec' [120525.0018.ec] refspec1='120525.0018.ec' [120525.0019.ec] refspec1='120525.0019.ec' [120525.0020.ec] refspec1='120525.0020.ec' [120525.0021.ec] refspec1='120525.0021.ec' 120525.0002.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0002.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0002.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0002.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0002.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0002.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0002.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0002.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0002.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0002.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0002.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0002.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0002.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0002.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0002.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0002.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0002.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0002.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0002.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0002.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0002.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0002.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0002.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0002.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0002.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0002.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0002.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0002.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0002.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0002.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0002.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0002.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0002.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0002.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0002.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0002.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0002.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0002.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0002.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0002.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0002.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0002.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0002.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0002.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0002.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0002.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0002.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0002.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0002.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0002.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0002.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0002.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0002.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0002.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0002.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0002.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0002.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0002.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0002.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0002.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0002.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0002.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0002.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0002.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0002.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0002.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0002.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0002.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0002.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0002.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0002.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0002.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0002.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0002.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0002.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0002.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0002.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0002.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0002.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0002.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0002.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0002.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0002.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0002.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0002.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0002.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0002.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0002.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0002.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0002.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0002.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0002.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0002.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0002.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0002.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0002.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0002.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0002.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0002.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0002.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0002.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0002.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0002.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0002.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0002.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0002.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0002.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0002.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0003.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0003.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0003.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0003.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0003.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0003.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0003.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0003.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0003.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0003.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0003.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0003.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0003.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0003.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0003.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0003.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0003.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0003.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0003.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0003.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0003.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0003.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0003.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0003.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0003.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0003.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0003.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0003.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0003.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0003.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0003.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0003.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0003.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0003.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0003.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0003.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0003.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0003.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0003.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0003.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0003.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0003.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0003.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0003.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0003.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0003.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0003.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0003.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0003.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0003.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0003.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0003.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0003.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0003.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0003.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0003.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0003.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0003.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0003.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0003.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0003.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0003.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0003.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0003.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0003.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0003.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0003.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0003.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0003.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0003.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0003.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0003.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0003.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0003.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0003.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0003.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0003.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0003.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0003.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0003.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0003.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0003.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0003.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0003.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0003.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0003.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0003.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0003.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0003.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0003.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0003.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0003.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0003.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0003.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0003.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0003.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0003.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0003.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0003.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0003.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0003.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0003.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0003.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0003.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0003.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0003.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0003.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0003.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0004.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0004.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0004.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0004.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0004.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0004.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0004.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0004.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0004.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0004.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0004.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0004.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0004.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0004.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0004.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0004.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0004.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0004.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0004.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0004.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0004.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0004.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0004.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0004.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0004.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0004.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0004.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0004.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0004.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0004.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0004.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0004.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0004.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0004.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0004.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0004.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0004.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0004.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0004.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0004.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0004.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0004.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0004.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0004.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0004.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0004.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0004.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0004.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0004.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0004.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0004.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0004.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0004.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0004.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0004.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0004.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0004.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0004.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0004.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0004.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0004.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0004.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0004.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0004.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0004.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0004.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0004.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0004.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0004.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0004.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0004.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0004.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0004.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0004.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0004.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0004.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0004.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0004.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0004.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0004.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0004.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0004.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0004.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0004.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0004.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0004.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0004.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0004.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0004.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0004.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0004.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0004.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0004.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0004.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0004.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0004.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0004.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0004.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0004.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0004.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0004.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0004.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0004.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0004.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0004.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0004.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0004.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0004.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0005.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0005.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0005.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0005.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0005.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0005.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0005.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0005.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0005.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0005.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0005.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0005.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0005.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0005.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0005.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0005.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0005.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0005.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0005.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0005.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0005.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0005.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0005.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0005.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0005.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0005.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0005.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0005.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0005.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0005.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0005.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0005.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0005.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0005.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0005.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0005.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0005.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0005.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0005.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0005.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0005.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0005.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0005.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0005.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0005.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0005.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0005.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0005.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0005.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0005.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0005.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0005.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0005.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0005.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0005.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0005.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0005.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0005.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0005.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0005.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0005.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0005.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0005.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0005.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0005.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0005.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0005.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0005.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0005.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0005.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0005.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0005.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0005.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0005.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0005.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0005.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0005.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0005.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0005.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0005.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0005.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0005.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0005.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0005.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0005.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0005.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0005.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0005.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0005.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0005.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0005.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0005.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0005.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0005.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0005.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0005.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0005.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0005.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0005.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0005.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0005.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0005.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0005.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0005.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0005.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0005.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0005.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0005.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0006.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0006.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0006.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0006.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0006.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0006.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0006.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0006.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0006.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0006.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0006.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0006.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0006.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0006.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0006.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0006.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0006.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0006.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0006.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0006.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0006.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0006.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0006.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0006.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0006.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0006.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0006.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0006.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0006.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0006.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0006.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0006.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0006.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0006.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0006.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0006.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0006.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0006.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0006.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0006.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0006.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0006.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0006.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0006.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0006.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0006.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0006.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0006.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0006.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0006.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0006.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0006.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0006.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0006.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0006.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0006.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0006.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0006.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0006.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0006.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0006.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0006.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0006.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0006.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0006.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0006.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0006.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0006.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0006.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0006.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0006.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0006.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0006.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0006.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0006.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0006.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0006.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0006.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0006.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0006.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0006.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0006.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0006.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0006.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0006.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0006.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0006.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0006.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0006.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0006.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0006.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0006.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0006.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0006.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0006.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0006.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0006.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0006.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0006.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0006.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0006.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0006.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0006.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0006.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0006.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0006.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0006.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0006.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0007.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0007.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0007.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0007.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0007.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0007.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0007.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0007.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0007.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0007.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0007.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0007.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0007.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0007.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0007.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0007.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0007.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0007.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0007.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0007.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0007.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0007.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0007.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0007.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0007.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0007.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0007.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0007.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0007.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0007.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0007.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0007.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0007.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0007.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0007.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0007.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0007.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0007.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0007.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0007.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0007.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0007.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0007.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0007.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0007.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0007.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0007.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0007.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0007.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0007.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0007.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0007.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0007.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0007.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0007.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0007.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0007.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0007.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0007.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0007.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0007.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0007.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0007.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0007.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0007.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0007.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0007.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0007.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0007.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0007.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0007.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0007.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0007.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0007.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0007.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0007.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0007.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0007.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0007.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0007.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0007.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0007.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0007.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0007.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0007.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0007.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0007.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0007.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0007.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0007.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0007.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0007.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0007.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0007.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0007.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0007.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0007.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0007.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0007.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0007.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0007.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0007.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0007.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0007.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0007.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0007.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0007.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0007.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0008.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0008.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0008.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0008.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0008.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0008.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0008.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0008.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0008.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0008.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0008.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0008.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0008.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0008.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0008.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0008.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0008.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0008.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0008.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0008.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0008.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0008.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0008.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0008.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0008.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0008.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0008.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0008.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0008.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0008.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0008.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0008.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0008.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0008.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0008.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0008.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0008.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0008.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0008.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0008.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0008.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0008.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0008.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0008.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0008.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0008.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0008.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0008.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0008.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0008.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0008.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0008.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0008.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0008.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0008.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0008.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0008.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0008.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0008.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0008.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0008.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0008.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0008.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0008.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0008.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0008.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0008.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0008.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0008.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0008.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0008.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0008.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0008.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0008.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0008.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0008.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0008.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0008.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0008.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0008.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0008.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0008.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0008.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0008.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0008.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0008.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0008.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0008.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0008.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0008.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0008.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0008.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0008.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0008.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0008.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0008.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0008.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0008.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0008.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0008.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0008.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0008.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0008.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0008.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0008.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0008.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0008.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0008.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0009.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0009.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0009.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0009.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0009.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0009.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0009.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0009.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0009.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0009.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0009.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0009.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0009.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0009.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0009.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0009.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0009.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0009.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0009.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0009.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0009.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0009.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0009.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0009.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0009.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0009.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0009.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0009.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0009.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0009.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0009.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0009.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0009.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0009.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0009.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0009.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0009.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0009.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0009.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0009.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0009.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0009.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0009.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0009.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0009.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0009.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0009.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0009.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0009.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0009.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0009.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0009.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0009.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0009.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0009.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0009.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0009.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0009.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0009.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0009.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0009.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0009.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0009.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0009.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0009.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0009.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0009.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0009.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0009.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0009.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0009.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0009.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0009.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0009.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0009.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0009.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0009.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0009.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0009.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0009.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0009.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0009.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0009.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0009.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0009.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0009.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0009.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0009.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0009.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0009.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0009.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0009.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0009.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0009.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0009.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0009.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0009.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0009.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0009.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0009.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0009.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0009.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0009.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0009.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0009.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0009.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0009.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0009.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0010.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0010.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0010.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0010.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0010.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0010.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0010.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0010.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0010.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0010.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0010.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0010.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0010.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0010.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0010.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0010.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0010.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0010.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0010.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0010.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0010.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0010.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0010.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0010.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0010.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0010.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0010.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0010.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0010.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0010.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0010.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0010.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0010.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0010.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0010.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0010.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0010.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0010.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0010.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0010.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0010.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0010.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0010.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0010.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0010.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0010.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0010.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0010.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0010.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0010.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0010.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0010.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0010.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0010.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0010.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0010.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0010.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0010.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0010.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0010.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0010.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0010.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0010.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0010.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0010.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0010.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0010.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0010.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0010.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0010.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0010.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0010.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0010.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0010.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0010.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0010.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0010.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0010.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0010.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0010.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0010.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0010.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0010.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0010.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0010.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0010.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0010.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0010.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0010.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0010.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0010.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0010.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0010.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0010.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0010.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0010.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0010.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0010.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0010.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0010.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0010.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0010.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0010.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0010.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0010.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0010.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0010.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0010.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0011.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0011.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0011.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0011.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0011.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0011.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0011.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0011.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0011.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0011.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0011.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0011.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0011.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0011.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0011.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0011.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0011.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0011.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0011.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0011.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0011.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0011.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0011.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0011.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0011.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0011.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0011.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0011.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0011.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0011.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0011.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0011.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0011.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0011.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0011.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0011.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0011.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0011.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0011.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0011.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0011.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0011.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0011.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0011.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0011.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0011.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0011.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0011.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0011.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0011.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0011.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0011.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0011.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0011.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0011.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0011.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0011.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0011.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0011.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0011.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0011.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0011.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0011.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0011.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0011.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0011.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0011.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0011.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0011.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0011.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0011.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0011.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0011.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0011.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0011.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0011.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0011.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0011.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0011.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0011.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0011.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0011.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0011.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0011.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0011.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0011.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0011.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0011.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0011.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0011.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0011.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0011.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0011.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0011.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0011.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0011.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0011.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0011.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0011.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0011.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0011.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0011.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0011.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0011.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0011.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0011.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0011.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0011.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0012.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0012.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0012.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0012.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0012.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0012.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0012.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0012.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0012.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0012.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0012.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0012.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0012.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0012.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0012.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0012.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0012.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0012.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0012.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0012.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0012.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0012.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0012.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0012.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0012.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0012.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0012.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0012.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0012.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0012.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0012.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0012.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0012.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0012.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0012.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0012.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0012.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0012.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0012.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0012.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0012.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0012.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0012.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0012.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0012.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0012.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0012.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0012.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0012.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0012.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0012.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0012.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0012.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0012.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0012.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0012.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0012.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0012.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0012.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0012.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0012.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0012.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0012.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0012.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0012.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0012.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0012.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0012.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0012.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0012.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0012.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0012.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0012.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0012.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0012.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0012.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0012.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0012.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0012.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0012.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0012.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0012.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0012.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0012.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0012.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0012.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0012.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0012.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0012.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0012.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0012.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0012.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0012.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0012.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0012.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0012.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0012.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0012.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0012.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0012.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0012.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0012.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0012.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0012.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0012.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0012.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0012.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0012.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0013.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0013.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0013.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0013.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0013.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0013.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0013.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0013.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0013.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0013.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0013.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0013.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0013.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0013.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0013.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0013.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0013.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0013.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0013.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0013.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0013.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0013.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0013.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0013.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0013.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0013.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0013.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0013.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0013.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0013.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0013.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0013.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0013.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0013.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0013.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0013.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0013.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0013.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0013.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0013.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0013.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0013.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0013.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0013.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0013.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0013.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0013.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0013.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0013.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0013.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0013.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0013.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0013.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0013.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0013.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0013.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0013.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0013.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0013.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0013.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0013.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0013.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0013.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0013.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0013.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0013.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0013.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0013.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0013.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0013.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0013.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0013.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0013.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0013.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0013.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0013.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0013.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0013.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0013.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0013.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0013.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0013.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0013.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0013.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0013.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0013.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0013.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0013.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0013.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0013.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0013.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0013.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0013.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0013.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0013.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0013.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0013.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0013.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0013.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0013.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0013.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0013.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0013.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0013.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0013.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0013.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0013.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0013.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0014.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0014.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0014.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0014.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0014.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0014.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0014.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0014.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0014.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0014.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0014.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0014.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0014.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0014.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0014.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0014.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0014.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0014.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0014.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0014.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0014.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0014.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0014.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0014.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0014.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0014.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0014.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0014.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0014.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0014.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0014.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0014.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0014.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0014.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0014.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0014.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0014.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0014.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0014.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0014.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0014.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0014.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0014.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0014.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0014.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0014.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0014.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0014.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0014.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0014.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0014.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0014.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0014.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0014.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0014.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0014.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0014.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0014.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0014.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0014.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0014.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0014.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0014.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0014.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0014.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0014.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0014.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0014.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0014.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0014.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0014.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0014.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0014.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0014.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0014.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0014.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0014.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0014.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0014.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0014.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0014.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0014.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0014.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0014.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0014.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0014.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0014.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0014.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0014.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0014.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0014.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0014.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0014.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0014.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0014.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0014.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0014.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0014.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0014.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0014.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0014.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0014.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0014.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0014.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0014.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0014.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0014.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0014.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0015.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0015.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0015.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0015.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0015.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0015.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0015.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0015.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0015.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0015.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0015.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0015.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0015.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0015.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0015.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0015.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0015.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0015.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0015.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0015.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0015.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0015.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0015.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0015.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0015.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0015.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0015.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0015.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0015.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0015.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0015.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0015.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0015.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0015.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0015.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0015.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0015.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0015.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0015.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0015.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0015.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0015.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0015.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0015.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0015.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0015.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0015.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0015.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0015.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0015.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0015.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0015.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0015.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0015.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0015.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0015.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0015.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0015.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0015.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0015.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0015.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0015.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0015.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0015.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0015.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0015.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0015.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0015.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0015.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0015.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0015.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0015.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0015.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0015.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0015.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0015.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0015.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0015.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0015.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0015.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0015.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0015.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0015.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0015.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0015.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0015.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0015.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0015.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0015.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0015.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0015.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0015.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0015.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0015.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0015.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0015.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0015.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0015.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0015.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0015.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0015.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0015.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0015.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0015.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0015.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0015.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0015.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0015.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0016.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0016.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0016.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0016.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0016.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0016.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0016.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0016.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0016.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0016.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0016.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0016.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0016.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0016.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0016.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0016.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0016.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0016.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0016.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0016.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0016.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0016.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0016.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0016.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0016.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0016.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0016.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0016.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0016.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0016.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0016.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0016.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0016.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0016.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0016.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0016.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0016.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0016.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0016.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0016.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0016.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0016.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0016.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0016.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0016.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0016.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0016.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0016.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0016.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0016.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0016.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0016.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0016.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0016.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0016.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0016.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0016.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0016.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0016.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0016.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0016.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0016.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0016.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0016.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0016.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0016.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0016.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0016.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0016.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0016.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0016.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0016.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0016.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0016.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0016.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0016.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0016.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0016.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0016.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0016.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0016.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0016.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0016.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0016.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0016.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0016.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0016.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0016.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0016.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0016.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0016.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0016.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0016.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0016.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0016.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0016.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0016.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0016.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0016.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0016.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0016.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0016.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0016.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0016.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0016.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0016.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0016.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0016.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0017.ec.fits: REFSPEC1 = '120525.0018.ec 1.' 120525.0017.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 120525.0017.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 120525.0017.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 120525.0017.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 120525.0017.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 120525.0017.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 120525.0017.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 120525.0017.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 120525.0017.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 120525.0017.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 120525.0017.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 120525.0017.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 120525.0017.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 120525.0017.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 120525.0017.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 120525.0017.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 120525.0017.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 120525.0017.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 120525.0017.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 120525.0017.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 120525.0017.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 120525.0017.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 120525.0017.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 120525.0017.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 120525.0017.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 120525.0017.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 120525.0017.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 120525.0017.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 120525.0017.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 120525.0017.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 120525.0017.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 120525.0017.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 120525.0017.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 120525.0017.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 120525.0017.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 120525.0017.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 120525.0017.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 120525.0017.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 120525.0017.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 120525.0017.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 120525.0017.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 120525.0017.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 120525.0017.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 120525.0017.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 120525.0017.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 120525.0017.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 120525.0017.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 120525.0017.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 120525.0017.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 120525.0017.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 120525.0017.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 120525.0017.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 120525.0017.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 120525.0017.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 120525.0017.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 120525.0017.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 120525.0017.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 120525.0017.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 120525.0017.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 120525.0017.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 120525.0017.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 120525.0017.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 120525.0017.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 120525.0017.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 120525.0017.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 120525.0017.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 120525.0017.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 120525.0017.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 120525.0017.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 120525.0017.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 120525.0017.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 120525.0017.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 120525.0017.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 120525.0017.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 120525.0017.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 120525.0017.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 120525.0017.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 120525.0017.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 120525.0017.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 120525.0017.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 120525.0017.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 120525.0017.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 120525.0017.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 120525.0017.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 120525.0017.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 120525.0017.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 120525.0017.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 120525.0017.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 120525.0017.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 120525.0017.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 120525.0017.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 120525.0017.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 120525.0017.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 120525.0017.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 120525.0017.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 120525.0017.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 120525.0017.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 120525.0017.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 120525.0017.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 120525.0017.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 120525.0017.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 120525.0017.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 120525.0017.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 120525.0017.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 120525.0017.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 120525.0017.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 120525.0017.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0018.ec.fits: REFSPEC1 = '120525.0018.ec 1.' z120525.0018.ec.fits: ap = 1, w1 = 10648.77, w2 = 10427.76, dw = -0.13395, nw = 1651 z120525.0018.ec.fits: ap = 2, w1 = 10455.18, w2 = 10238.18, dw = -0.13151, nw = 1651 z120525.0018.ec.fits: ap = 3, w1 = 10268.49, w2 = 10055.37, dw = -0.12916, nw = 1651 z120525.0018.ec.fits: ap = 4, w1 = 10088.36, w2 = 9878.979, dw = -0.1269, nw = 1651 z120525.0018.ec.fits: ap = 5, w1 = 9914.438, w2 = 9708.667, dw = -0.12471, nw = 1651 z120525.0018.ec.fits: ap = 6, w1 = 9746.412, w2 = 9544.128, dw = -0.1226, nw = 1651 z120525.0018.ec.fits: ap = 7, w1 = 9583.986, w2 = 9385.074, dw = -0.12055, nw = 1651 z120525.0018.ec.fits: ap = 8, w1 = 9426.886, w2 = 9231.234, dw = -0.11858, nw = 1651 z120525.0018.ec.fits: ap = 9, w1 = 9274.853, w2 = 9082.357, dw = -0.11666, nw = 1651 z120525.0018.ec.fits: ap = 10, w1 = 9127.646, w2 = 8938.207, dw = -0.11481, nw = 1651 z120525.0018.ec.fits: ap = 11, w1 = 8985.04, w2 = 8798.561, dw = -0.11302, nw = 1651 z120525.0018.ec.fits: ap = 12, w1 = 8846.821, w2 = 8663.212, dw = -0.11128, nw = 1651 z120525.0018.ec.fits: ap = 13, w1 = 8712.791, w2 = 8531.964, dw = -0.10959, nw = 1651 z120525.0018.ec.fits: ap = 14, w1 = 8582.761, w2 = 8404.634, dw = -0.10796, nw = 1651 z120525.0018.ec.fits: ap = 15, w1 = 8456.556, w2 = 8281.049, dw = -0.10637, nw = 1651 z120525.0018.ec.fits: ap = 16, w1 = 8334.009, w2 = 8161.047, dw = -0.10483, nw = 1651 z120525.0018.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.473, dw = -0.10333, nw = 1651 z120525.0018.ec.fits: ap = 18, w1 = 8099.27, w2 = 7931.182, dw = -0.10187, nw = 1651 z120525.0018.ec.fits: ap = 19, w1 = 7986.791, w2 = 7821.039, dw = -0.10046, nw = 1651 z120525.0018.ec.fits: ap = 20, w1 = 7877.393, w2 = 7713.913, dw = -0.09908, nw = 1651 z120525.0018.ec.fits: ap = 21, w1 = 7770.952, w2 = 7609.683, dw = -0.09774, nw = 1651 z120525.0018.ec.fits: ap = 22, w1 = 7667.35, w2 = 7508.232, dw = -0.09643, nw = 1651 z120525.0018.ec.fits: ap = 23, w1 = 7566.473, w2 = 7409.451, dw = -0.09516, nw = 1651 z120525.0018.ec.fits: ap = 24, w1 = 7468.217, w2 = 7313.236, dw = -0.09393, nw = 1651 z120525.0018.ec.fits: ap = 25, w1 = 7372.48, w2 = 7219.488, dw = -0.09272, nw = 1651 z120525.0018.ec.fits: ap = 26, w1 = 7279.167, w2 = 7128.113, dw = -0.09155, nw = 1651 z120525.0018.ec.fits: ap = 27, w1 = 7188.187, w2 = 7039.022, dw = -0.0904, nw = 1651 z120525.0018.ec.fits: ap = 28, w1 = 7099.453, w2 = 6952.132, dw = -0.08929, nw = 1651 z120525.0018.ec.fits: ap = 29, w1 = 7012.883, w2 = 6867.361, dw = -0.0882, nw = 1651 z120525.0018.ec.fits: ap = 30, w1 = 6928.399, w2 = 6784.632, dw = -0.08713, nw = 1651 z120525.0018.ec.fits: ap = 31, w1 = 6845.927, w2 = 6703.873, dw = -0.08609, nw = 1651 z120525.0018.ec.fits: ap = 32, w1 = 6765.396, w2 = 6625.015, dw = -0.08508, nw = 1651 z120525.0018.ec.fits: ap = 33, w1 = 6686.737, w2 = 6547.99, dw = -0.08409, nw = 1651 z120525.0018.ec.fits: ap = 34, w1 = 6609.886, w2 = 6472.736, dw = -0.08312, nw = 1651 z120525.0018.ec.fits: ap = 35, w1 = 6534.782, w2 = 6399.192, dw = -0.08218, nw = 1651 z120525.0018.ec.fits: ap = 36, w1 = 6461.366, w2 = 6327.302, dw = -0.08125, nw = 1651 z120525.0018.ec.fits: ap = 37, w1 = 6389.581, w2 = 6257.008, dw = -0.08035, nw = 1651 z120525.0018.ec.fits: ap = 38, w1 = 6319.374, w2 = 6188.26, dw = -0.07946, nw = 1651 z120525.0018.ec.fits: ap = 39, w1 = 6250.693, w2 = 6121.006, dw = -0.0786, nw = 1651 z120525.0018.ec.fits: ap = 40, w1 = 6183.489, w2 = 6055.199, dw = -0.07775, nw = 1651 z120525.0018.ec.fits: ap = 41, w1 = 6117.716, w2 = 5990.792, dw = -0.07692, nw = 1651 z120525.0018.ec.fits: ap = 42, w1 = 6053.326, w2 = 5927.741, dw = -0.07611, nw = 1651 z120525.0018.ec.fits: ap = 43, w1 = 5990.279, w2 = 5866.003, dw = -0.07532, nw = 1651 z120525.0018.ec.fits: ap = 44, w1 = 5928.531, w2 = 5805.538, dw = -0.07454, nw = 1651 z120525.0018.ec.fits: ap = 45, w1 = 5868.044, w2 = 5746.308, dw = -0.07378, nw = 1651 z120525.0018.ec.fits: ap = 46, w1 = 5808.778, w2 = 5688.274, dw = -0.07303, nw = 1651 z120525.0018.ec.fits: ap = 47, w1 = 5750.698, w2 = 5631.401, dw = -0.0723, nw = 1651 z120525.0018.ec.fits: ap = 48, w1 = 5693.768, w2 = 5575.654, dw = -0.07158, nw = 1651 z120525.0018.ec.fits: ap = 49, w1 = 5637.955, w2 = 5521., dw = -0.07088, nw = 1651 z120525.0018.ec.fits: ap = 50, w1 = 5583.225, w2 = 5467.408, dw = -0.07019, nw = 1651 z120525.0018.ec.fits: ap = 51, w1 = 5529.548, w2 = 5414.846, dw = -0.06952, nw = 1651 z120525.0018.ec.fits: ap = 52, w1 = 5476.894, w2 = 5363.285, dw = -0.06885, nw = 1651 z120525.0018.ec.fits: ap = 53, w1 = 5425.232, w2 = 5312.697, dw = -0.0682, nw = 1651 z120525.0018.ec.fits: ap = 54, w1 = 5374.537, w2 = 5263.055, dw = -0.06756, nw = 1651 z120525.0018.ec.fits: ap = 55, w1 = 5324.781, w2 = 5214.333, dw = -0.06694, nw = 1651 z120525.0018.ec.fits: ap = 56, w1 = 5275.937, w2 = 5166.504, dw = -0.06632, nw = 1651 z120525.0018.ec.fits: ap = 57, w1 = 5227.982, w2 = 5119.545, dw = -0.06572, nw = 1651 z120525.0018.ec.fits: ap = 58, w1 = 5180.891, w2 = 5073.432, dw = -0.06513, nw = 1651 z120525.0018.ec.fits: ap = 59, w1 = 5134.641, w2 = 5028.143, dw = -0.06454, nw = 1651 z120525.0018.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.655, dw = -0.06397, nw = 1651 z120525.0018.ec.fits: ap = 61, w1 = 5044.575, w2 = 4939.948, dw = -0.06341, nw = 1651 z120525.0018.ec.fits: ap = 62, w1 = 5000.717, w2 = 4897.001, dw = -0.06286, nw = 1651 z120525.0018.ec.fits: ap = 63, w1 = 4957.616, w2 = 4854.795, dw = -0.06232, nw = 1651 z120525.0018.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.31, dw = -0.06178, nw = 1651 z120525.0018.ec.fits: ap = 65, w1 = 4873.605, w2 = 4772.529, dw = -0.06126, nw = 1651 z120525.0018.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.432, dw = -0.06074, nw = 1651 z120525.0018.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693.005, dw = -0.06024, nw = 1651 z120525.0018.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.229, dw = -0.05974, nw = 1651 z120525.0018.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.088, dw = -0.05925, nw = 1651 z120525.0018.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.568, dw = -0.05877, nw = 1651 z120525.0018.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.653, dw = -0.05829, nw = 1651 z120525.0018.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.329, dw = -0.05782, nw = 1651 z120525.0018.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.582, dw = -0.05737, nw = 1651 z120525.0018.ec.fits: ap = 74, w1 = 4528.304, w2 = 4434.397, dw = -0.05691, nw = 1651 z120525.0018.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.763, dw = -0.05647, nw = 1651 z120525.0018.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.665, dw = -0.05603, nw = 1651 z120525.0018.ec.fits: ap = 77, w1 = 4423.832, w2 = 4332.092, dw = -0.0556, nw = 1651 z120525.0018.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.032, dw = -0.05517, nw = 1651 z120525.0018.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.473, dw = -0.05476, nw = 1651 z120525.0018.ec.fits: ap = 80, w1 = 4324.073, w2 = 4234.403, dw = -0.05435, nw = 1651 z120525.0018.ec.fits: ap = 81, w1 = 4291.813, w2 = 4202.813, dw = -0.05394, nw = 1651 z120525.0018.ec.fits: ap = 82, w1 = 4260.031, w2 = 4171.69, dw = -0.05354, nw = 1651 z120525.0018.ec.fits: ap = 83, w1 = 4228.717, w2 = 4141.025, dw = -0.05315, nw = 1651 z120525.0018.ec.fits: ap = 84, w1 = 4197.86, w2 = 4110.808, dw = -0.05276, nw = 1651 z120525.0018.ec.fits: ap = 85, w1 = 4167.45, w2 = 4081.028, dw = -0.05238, nw = 1651 z120525.0018.ec.fits: ap = 86, w1 = 4137.478, w2 = 4051.678, dw = -0.052, nw = 1651 z120525.0018.ec.fits: ap = 87, w1 = 4107.935, w2 = 4022.746, dw = -0.05163, nw = 1651 z120525.0018.ec.fits: ap = 88, w1 = 4078.81, w2 = 3994.226, dw = -0.05126, nw = 1651 z120525.0018.ec.fits: ap = 89, w1 = 4050.096, w2 = 3966.107, dw = -0.0509, nw = 1651 z120525.0018.ec.fits: ap = 90, w1 = 4021.784, w2 = 3938.381, dw = -0.05055, nw = 1651 z120525.0018.ec.fits: ap = 91, w1 = 3993.865, w2 = 3911.04, dw = -0.0502, nw = 1651 z120525.0018.ec.fits: ap = 92, w1 = 3966.332, w2 = 3884.077, dw = -0.04985, nw = 1651 z120525.0018.ec.fits: ap = 93, w1 = 3939.175, w2 = 3857.483, dw = -0.04951, nw = 1651 z120525.0018.ec.fits: ap = 94, w1 = 3912.389, w2 = 3831.251, dw = -0.04917, nw = 1651 z120525.0018.ec.fits: ap = 95, w1 = 3885.965, w2 = 3805.374, dw = -0.04884, nw = 1651 z120525.0018.ec.fits: ap = 96, w1 = 3859.895, w2 = 3779.844, dw = -0.04852, nw = 1651 z120525.0018.ec.fits: ap = 97, w1 = 3834.173, w2 = 3754.655, dw = -0.04819, nw = 1651 z120525.0018.ec.fits: ap = 98, w1 = 3808.792, w2 = 3729.799, dw = -0.04787, nw = 1651 z120525.0018.ec.fits: ap = 99, w1 = 3783.746, w2 = 3705.27, dw = -0.04756, nw = 1651 z120525.0018.ec.fits: ap = 100, w1 = 3759.027, w2 = 3681.062, dw = -0.04725, nw = 1651 z120525.0018.ec.fits: ap = 101, w1 = 3734.629, w2 = 3657.169, dw = -0.04695, nw = 1651 z120525.0018.ec.fits: ap = 102, w1 = 3710.546, w2 = 3633.584, dw = -0.04664, nw = 1651 z120525.0018.ec.fits: ap = 103, w1 = 3686.772, w2 = 3610.302, dw = -0.04635, nw = 1651 z120525.0018.ec.fits: ap = 104, w1 = 3663.301, w2 = 3587.316, dw = -0.04605, nw = 1651 z120525.0018.ec.fits: ap = 105, w1 = 3640.127, w2 = 3564.621, dw = -0.04576, nw = 1651 z120525.0018.ec.fits: ap = 106, w1 = 3617.246, w2 = 3542.212, dw = -0.04548, nw = 1651 z120525.0018.ec.fits: ap = 107, w1 = 3594.65, w2 = 3520.083, dw = -0.04519, nw = 1651 120525.0019.ec.fits: REFSPEC1 = '120525.0019.ec 1.' z120525.0019.ec.fits: ap = 1, w1 = 10648.8, w2 = 10427.75, dw = -0.13397, nw = 1651 z120525.0019.ec.fits: ap = 2, w1 = 10455.2, w2 = 10238.17, dw = -0.13153, nw = 1651 z120525.0019.ec.fits: ap = 3, w1 = 10268.52, w2 = 10055.37, dw = -0.12918, nw = 1651 z120525.0019.ec.fits: ap = 4, w1 = 10088.38, w2 = 9878.971, dw = -0.12691, nw = 1651 z120525.0019.ec.fits: ap = 5, w1 = 9914.457, w2 = 9708.659, dw = -0.12473, nw = 1651 z120525.0019.ec.fits: ap = 6, w1 = 9746.428, w2 = 9544.121, dw = -0.12261, nw = 1651 z120525.0019.ec.fits: ap = 7, w1 = 9584., w2 = 9385.067, dw = -0.12057, nw = 1651 z120525.0019.ec.fits: ap = 8, w1 = 9426.898, w2 = 9231.227, dw = -0.11859, nw = 1651 z120525.0019.ec.fits: ap = 9, w1 = 9274.863, w2 = 9082.351, dw = -0.11667, nw = 1651 z120525.0019.ec.fits: ap = 10, w1 = 9127.655, w2 = 8938.2, dw = -0.11482, nw = 1651 z120525.0019.ec.fits: ap = 11, w1 = 8985.047, w2 = 8798.555, dw = -0.11303, nw = 1651 z120525.0019.ec.fits: ap = 12, w1 = 8846.827, w2 = 8663.206, dw = -0.11129, nw = 1651 z120525.0019.ec.fits: ap = 13, w1 = 8712.795, w2 = 8531.958, dw = -0.1096, nw = 1651 z120525.0019.ec.fits: ap = 14, w1 = 8582.765, w2 = 8404.629, dw = -0.10796, nw = 1651 z120525.0019.ec.fits: ap = 15, w1 = 8456.558, w2 = 8281.044, dw = -0.10637, nw = 1651 z120525.0019.ec.fits: ap = 16, w1 = 8334.01, w2 = 8161.041, dw = -0.10483, nw = 1651 z120525.0019.ec.fits: ap = 17, w1 = 8214.963, w2 = 8044.467, dw = -0.10333, nw = 1651 z120525.0019.ec.fits: ap = 18, w1 = 8099.269, w2 = 7931.177, dw = -0.10187, nw = 1651 z120525.0019.ec.fits: ap = 19, w1 = 7986.79, w2 = 7821.034, dw = -0.10046, nw = 1651 z120525.0019.ec.fits: ap = 20, w1 = 7877.391, w2 = 7713.909, dw = -0.09908, nw = 1651 z120525.0019.ec.fits: ap = 21, w1 = 7770.95, w2 = 7609.678, dw = -0.09774, nw = 1651 z120525.0019.ec.fits: ap = 22, w1 = 7667.347, w2 = 7508.228, dw = -0.09644, nw = 1651 z120525.0019.ec.fits: ap = 23, w1 = 7566.47, w2 = 7409.447, dw = -0.09517, nw = 1651 z120525.0019.ec.fits: ap = 24, w1 = 7468.213, w2 = 7313.231, dw = -0.09393, nw = 1651 z120525.0019.ec.fits: ap = 25, w1 = 7372.476, w2 = 7219.483, dw = -0.09272, nw = 1651 z120525.0019.ec.fits: ap = 26, w1 = 7279.163, w2 = 7128.109, dw = -0.09155, nw = 1651 z120525.0019.ec.fits: ap = 27, w1 = 7188.182, w2 = 7039.018, dw = -0.0904, nw = 1651 z120525.0019.ec.fits: ap = 28, w1 = 7099.448, w2 = 6952.128, dw = -0.08929, nw = 1651 z120525.0019.ec.fits: ap = 29, w1 = 7012.878, w2 = 6867.356, dw = -0.0882, nw = 1651 z120525.0019.ec.fits: ap = 30, w1 = 6928.394, w2 = 6784.628, dw = -0.08713, nw = 1651 z120525.0019.ec.fits: ap = 31, w1 = 6845.922, w2 = 6703.869, dw = -0.08609, nw = 1651 z120525.0019.ec.fits: ap = 32, w1 = 6765.39, w2 = 6625.01, dw = -0.08508, nw = 1651 z120525.0019.ec.fits: ap = 33, w1 = 6686.731, w2 = 6547.986, dw = -0.08409, nw = 1651 z120525.0019.ec.fits: ap = 34, w1 = 6609.881, w2 = 6472.732, dw = -0.08312, nw = 1651 z120525.0019.ec.fits: ap = 35, w1 = 6534.777, w2 = 6399.188, dw = -0.08217, nw = 1651 z120525.0019.ec.fits: ap = 36, w1 = 6461.36, w2 = 6327.297, dw = -0.08125, nw = 1651 z120525.0019.ec.fits: ap = 37, w1 = 6389.576, w2 = 6257.004, dw = -0.08035, nw = 1651 z120525.0019.ec.fits: ap = 38, w1 = 6319.369, w2 = 6188.256, dw = -0.07946, nw = 1651 z120525.0019.ec.fits: ap = 39, w1 = 6250.688, w2 = 6121.002, dw = -0.0786, nw = 1651 z120525.0019.ec.fits: ap = 40, w1 = 6183.484, w2 = 6055.195, dw = -0.07775, nw = 1651 z120525.0019.ec.fits: ap = 41, w1 = 6117.711, w2 = 5990.788, dw = -0.07692, nw = 1651 z120525.0019.ec.fits: ap = 42, w1 = 6053.322, w2 = 5927.736, dw = -0.07611, nw = 1651 z120525.0019.ec.fits: ap = 43, w1 = 5990.274, w2 = 5865.999, dw = -0.07532, nw = 1651 z120525.0019.ec.fits: ap = 44, w1 = 5928.527, w2 = 5805.534, dw = -0.07454, nw = 1651 z120525.0019.ec.fits: ap = 45, w1 = 5868.04, w2 = 5746.304, dw = -0.07378, nw = 1651 z120525.0019.ec.fits: ap = 46, w1 = 5808.775, w2 = 5688.27, dw = -0.07303, nw = 1651 z120525.0019.ec.fits: ap = 47, w1 = 5750.695, w2 = 5631.396, dw = -0.0723, nw = 1651 z120525.0019.ec.fits: ap = 48, w1 = 5693.765, w2 = 5575.65, dw = -0.07159, nw = 1651 z120525.0019.ec.fits: ap = 49, w1 = 5637.952, w2 = 5520.996, dw = -0.07088, nw = 1651 z120525.0019.ec.fits: ap = 50, w1 = 5583.222, w2 = 5467.403, dw = -0.07019, nw = 1651 z120525.0019.ec.fits: ap = 51, w1 = 5529.545, w2 = 5414.841, dw = -0.06952, nw = 1651 z120525.0019.ec.fits: ap = 52, w1 = 5476.891, w2 = 5363.281, dw = -0.06885, nw = 1651 z120525.0019.ec.fits: ap = 53, w1 = 5425.23, w2 = 5312.693, dw = -0.0682, nw = 1651 z120525.0019.ec.fits: ap = 54, w1 = 5374.535, w2 = 5263.051, dw = -0.06757, nw = 1651 z120525.0019.ec.fits: ap = 55, w1 = 5324.779, w2 = 5214.328, dw = -0.06694, nw = 1651 z120525.0019.ec.fits: ap = 56, w1 = 5275.936, w2 = 5166.5, dw = -0.06632, nw = 1651 z120525.0019.ec.fits: ap = 57, w1 = 5227.981, w2 = 5119.541, dw = -0.06572, nw = 1651 z120525.0019.ec.fits: ap = 58, w1 = 5180.89, w2 = 5073.428, dw = -0.06513, nw = 1651 z120525.0019.ec.fits: ap = 59, w1 = 5134.64, w2 = 5028.138, dw = -0.06455, nw = 1651 z120525.0019.ec.fits: ap = 60, w1 = 5089.209, w2 = 4983.651, dw = -0.06397, nw = 1651 z120525.0019.ec.fits: ap = 61, w1 = 5044.574, w2 = 4939.944, dw = -0.06341, nw = 1651 z120525.0019.ec.fits: ap = 62, w1 = 5000.717, w2 = 4896.997, dw = -0.06286, nw = 1651 z120525.0019.ec.fits: ap = 63, w1 = 4957.615, w2 = 4854.79, dw = -0.06232, nw = 1651 z120525.0019.ec.fits: ap = 64, w1 = 4915.251, w2 = 4813.305, dw = -0.06178, nw = 1651 z120525.0019.ec.fits: ap = 65, w1 = 4873.604, w2 = 4772.524, dw = -0.06126, nw = 1651 z120525.0019.ec.fits: ap = 66, w1 = 4832.658, w2 = 4732.428, dw = -0.06075, nw = 1651 z120525.0019.ec.fits: ap = 67, w1 = 4792.394, w2 = 4693., dw = -0.06024, nw = 1651 z120525.0019.ec.fits: ap = 68, w1 = 4752.796, w2 = 4654.224, dw = -0.05974, nw = 1651 z120525.0019.ec.fits: ap = 69, w1 = 4713.847, w2 = 4616.084, dw = -0.05925, nw = 1651 z120525.0019.ec.fits: ap = 70, w1 = 4675.531, w2 = 4578.563, dw = -0.05877, nw = 1651 z120525.0019.ec.fits: ap = 71, w1 = 4637.834, w2 = 4541.649, dw = -0.05829, nw = 1651 z120525.0019.ec.fits: ap = 72, w1 = 4600.74, w2 = 4505.325, dw = -0.05783, nw = 1651 z120525.0019.ec.fits: ap = 73, w1 = 4564.235, w2 = 4469.577, dw = -0.05737, nw = 1651 z120525.0019.ec.fits: ap = 74, w1 = 4528.305, w2 = 4434.393, dw = -0.05692, nw = 1651 z120525.0019.ec.fits: ap = 75, w1 = 4492.936, w2 = 4399.758, dw = -0.05647, nw = 1651 z120525.0019.ec.fits: ap = 76, w1 = 4458.116, w2 = 4365.661, dw = -0.05603, nw = 1651 z120525.0019.ec.fits: ap = 77, w1 = 4423.831, w2 = 4332.088, dw = -0.0556, nw = 1651 z120525.0019.ec.fits: ap = 78, w1 = 4390.071, w2 = 4299.027, dw = -0.05518, nw = 1651 z120525.0019.ec.fits: ap = 79, w1 = 4356.822, w2 = 4266.468, dw = -0.05476, nw = 1651 z120525.0019.ec.fits: ap = 80, w1 = 4324.072, w2 = 4234.399, dw = -0.05435, nw = 1651 z120525.0019.ec.fits: ap = 81, w1 = 4291.812, w2 = 4202.808, dw = -0.05394, nw = 1651 z120525.0019.ec.fits: ap = 82, w1 = 4260.03, w2 = 4171.685, dw = -0.05354, nw = 1651 z120525.0019.ec.fits: ap = 83, w1 = 4228.716, w2 = 4141.02, dw = -0.05315, nw = 1651 z120525.0019.ec.fits: ap = 84, w1 = 4197.859, w2 = 4110.803, dw = -0.05276, nw = 1651 z120525.0019.ec.fits: ap = 85, w1 = 4167.449, w2 = 4081.024, dw = -0.05238, nw = 1651 z120525.0019.ec.fits: ap = 86, w1 = 4137.477, w2 = 4051.673, dw = -0.052, nw = 1651 z120525.0019.ec.fits: ap = 87, w1 = 4107.933, w2 = 4022.742, dw = -0.05163, nw = 1651 z120525.0019.ec.fits: ap = 88, w1 = 4078.808, w2 = 3994.221, dw = -0.05126, nw = 1651 z120525.0019.ec.fits: ap = 89, w1 = 4050.094, w2 = 3966.102, dw = -0.0509, nw = 1651 z120525.0019.ec.fits: ap = 90, w1 = 4021.781, w2 = 3938.377, dw = -0.05055, nw = 1651 z120525.0019.ec.fits: ap = 91, w1 = 3993.862, w2 = 3911.036, dw = -0.0502, nw = 1651 z120525.0019.ec.fits: ap = 92, w1 = 3966.328, w2 = 3884.073, dw = -0.04985, nw = 1651 z120525.0019.ec.fits: ap = 93, w1 = 3939.171, w2 = 3857.479, dw = -0.04951, nw = 1651 z120525.0019.ec.fits: ap = 94, w1 = 3912.384, w2 = 3831.247, dw = -0.04917, nw = 1651 z120525.0019.ec.fits: ap = 95, w1 = 3885.959, w2 = 3805.37, dw = -0.04884, nw = 1651 z120525.0019.ec.fits: ap = 96, w1 = 3859.889, w2 = 3779.84, dw = -0.04851, nw = 1651 z120525.0019.ec.fits: ap = 97, w1 = 3834.167, w2 = 3754.651, dw = -0.04819, nw = 1651 z120525.0019.ec.fits: ap = 98, w1 = 3808.786, w2 = 3729.795, dw = -0.04787, nw = 1651 z120525.0019.ec.fits: ap = 99, w1 = 3783.738, w2 = 3705.266, dw = -0.04756, nw = 1651 z120525.0019.ec.fits: ap = 100, w1 = 3759.019, w2 = 3681.059, dw = -0.04725, nw = 1651 z120525.0019.ec.fits: ap = 101, w1 = 3734.62, w2 = 3657.165, dw = -0.04694, nw = 1651 z120525.0019.ec.fits: ap = 102, w1 = 3710.537, w2 = 3633.581, dw = -0.04664, nw = 1651 z120525.0019.ec.fits: ap = 103, w1 = 3686.762, w2 = 3610.298, dw = -0.04634, nw = 1651 z120525.0019.ec.fits: ap = 104, w1 = 3663.29, w2 = 3587.312, dw = -0.04605, nw = 1651 z120525.0019.ec.fits: ap = 105, w1 = 3640.116, w2 = 3564.618, dw = -0.04576, nw = 1651 z120525.0019.ec.fits: ap = 106, w1 = 3617.233, w2 = 3542.209, dw = -0.04547, nw = 1651 z120525.0019.ec.fits: ap = 107, w1 = 3594.637, w2 = 3520.08, dw = -0.04519, nw = 1651 120525.0020.ec.fits: REFSPEC1 = '120525.0020.ec 1.' z120525.0020.ec.fits: ap = 1, w1 = 10648.81, w2 = 10427.73, dw = -0.13399, nw = 1651 z120525.0020.ec.fits: ap = 2, w1 = 10455.21, w2 = 10238.15, dw = -0.13155, nw = 1651 z120525.0020.ec.fits: ap = 3, w1 = 10268.52, w2 = 10055.35, dw = -0.1292, nw = 1651 z120525.0020.ec.fits: ap = 4, w1 = 10088.39, w2 = 9878.954, dw = -0.12693, nw = 1651 z120525.0020.ec.fits: ap = 5, w1 = 9914.46, w2 = 9708.644, dw = -0.12474, nw = 1651 z120525.0020.ec.fits: ap = 6, w1 = 9746.43, w2 = 9544.106, dw = -0.12262, nw = 1651 z120525.0020.ec.fits: ap = 7, w1 = 9584.002, w2 = 9385.053, dw = -0.12057, nw = 1651 z120525.0020.ec.fits: ap = 8, w1 = 9426.899, w2 = 9231.215, dw = -0.1186, nw = 1651 z120525.0020.ec.fits: ap = 9, w1 = 9274.863, w2 = 9082.34, dw = -0.11668, nw = 1651 z120525.0020.ec.fits: ap = 10, w1 = 9127.654, w2 = 8938.19, dw = -0.11483, nw = 1651 z120525.0020.ec.fits: ap = 11, w1 = 8985.046, w2 = 8798.546, dw = -0.11303, nw = 1651 z120525.0020.ec.fits: ap = 12, w1 = 8846.825, w2 = 8663.197, dw = -0.11129, nw = 1651 z120525.0020.ec.fits: ap = 13, w1 = 8712.793, w2 = 8531.951, dw = -0.1096, nw = 1651 z120525.0020.ec.fits: ap = 14, w1 = 8582.762, w2 = 8404.622, dw = -0.10796, nw = 1651 z120525.0020.ec.fits: ap = 15, w1 = 8456.555, w2 = 8281.038, dw = -0.10637, nw = 1651 z120525.0020.ec.fits: ap = 16, w1 = 8334.006, w2 = 8161.036, dw = -0.10483, nw = 1651 z120525.0020.ec.fits: ap = 17, w1 = 8214.959, w2 = 8044.462, dw = -0.10333, nw = 1651 z120525.0020.ec.fits: ap = 18, w1 = 8099.265, w2 = 7931.173, dw = -0.10187, nw = 1651 z120525.0020.ec.fits: ap = 19, w1 = 7986.785, w2 = 7821.03, dw = -0.10046, nw = 1651 z120525.0020.ec.fits: ap = 20, w1 = 7877.386, w2 = 7713.905, dw = -0.09908, nw = 1651 z120525.0020.ec.fits: ap = 21, w1 = 7770.945, w2 = 7609.675, dw = -0.09774, nw = 1651 z120525.0020.ec.fits: ap = 22, w1 = 7667.341, w2 = 7508.225, dw = -0.09643, nw = 1651 z120525.0020.ec.fits: ap = 23, w1 = 7566.464, w2 = 7409.444, dw = -0.09516, nw = 1651 z120525.0020.ec.fits: ap = 24, w1 = 7468.208, w2 = 7313.229, dw = -0.09393, nw = 1651 z120525.0020.ec.fits: ap = 25, w1 = 7372.471, w2 = 7219.481, dw = -0.09272, nw = 1651 z120525.0020.ec.fits: ap = 26, w1 = 7279.157, w2 = 7128.106, dw = -0.09155, nw = 1651 z120525.0020.ec.fits: ap = 27, w1 = 7188.176, w2 = 7039.016, dw = -0.0904, nw = 1651 z120525.0020.ec.fits: ap = 28, w1 = 7099.442, w2 = 6952.126, dw = -0.08928, nw = 1651 z120525.0020.ec.fits: ap = 29, w1 = 7012.872, w2 = 6867.355, dw = -0.08819, nw = 1651 z120525.0020.ec.fits: ap = 30, w1 = 6928.388, w2 = 6784.626, dw = -0.08713, nw = 1651 z120525.0020.ec.fits: ap = 31, w1 = 6845.916, w2 = 6703.867, dw = -0.08609, nw = 1651 z120525.0020.ec.fits: ap = 32, w1 = 6765.384, w2 = 6625.009, dw = -0.08508, nw = 1651 z120525.0020.ec.fits: ap = 33, w1 = 6686.726, w2 = 6547.984, dw = -0.08409, nw = 1651 z120525.0020.ec.fits: ap = 34, w1 = 6609.875, w2 = 6472.73, dw = -0.08312, nw = 1651 z120525.0020.ec.fits: ap = 35, w1 = 6534.771, w2 = 6399.187, dw = -0.08217, nw = 1651 z120525.0020.ec.fits: ap = 36, w1 = 6461.355, w2 = 6327.296, dw = -0.08125, nw = 1651 z120525.0020.ec.fits: ap = 37, w1 = 6389.57, w2 = 6257.003, dw = -0.08034, nw = 1651 z120525.0020.ec.fits: ap = 38, w1 = 6319.364, w2 = 6188.255, dw = -0.07946, nw = 1651 z120525.0020.ec.fits: ap = 39, w1 = 6250.683, w2 = 6121.001, dw = -0.0786, nw = 1651 z120525.0020.ec.fits: ap = 40, w1 = 6183.479, w2 = 6055.193, dw = -0.07775, nw = 1651 z120525.0020.ec.fits: ap = 41, w1 = 6117.706, w2 = 5990.786, dw = -0.07692, nw = 1651 z120525.0020.ec.fits: ap = 42, w1 = 6053.317, w2 = 5927.735, dw = -0.07611, nw = 1651 z120525.0020.ec.fits: ap = 43, w1 = 5990.27, w2 = 5865.997, dw = -0.07532, nw = 1651 z120525.0020.ec.fits: ap = 44, w1 = 5928.522, w2 = 5805.533, dw = -0.07454, nw = 1651 z120525.0020.ec.fits: ap = 45, w1 = 5868.035, w2 = 5746.302, dw = -0.07378, nw = 1651 z120525.0020.ec.fits: ap = 46, w1 = 5808.77, w2 = 5688.268, dw = -0.07303, nw = 1651 z120525.0020.ec.fits: ap = 47, w1 = 5750.691, w2 = 5631.395, dw = -0.0723, nw = 1651 z120525.0020.ec.fits: ap = 48, w1 = 5693.761, w2 = 5575.648, dw = -0.07158, nw = 1651 z120525.0020.ec.fits: ap = 49, w1 = 5637.948, w2 = 5520.994, dw = -0.07088, nw = 1651 z120525.0020.ec.fits: ap = 50, w1 = 5583.219, w2 = 5467.401, dw = -0.07019, nw = 1651 z120525.0020.ec.fits: ap = 51, w1 = 5529.542, w2 = 5414.84, dw = -0.06952, nw = 1651 z120525.0020.ec.fits: ap = 52, w1 = 5476.887, w2 = 5363.279, dw = -0.06885, nw = 1651 z120525.0020.ec.fits: ap = 53, w1 = 5425.227, w2 = 5312.691, dw = -0.0682, nw = 1651 z120525.0020.ec.fits: ap = 54, w1 = 5374.532, w2 = 5263.049, dw = -0.06757, nw = 1651 z120525.0020.ec.fits: ap = 55, w1 = 5324.776, w2 = 5214.326, dw = -0.06694, nw = 1651 z120525.0020.ec.fits: ap = 56, w1 = 5275.932, w2 = 5166.498, dw = -0.06632, nw = 1651 z120525.0020.ec.fits: ap = 57, w1 = 5227.977, w2 = 5119.539, dw = -0.06572, nw = 1651 z120525.0020.ec.fits: ap = 58, w1 = 5180.887, w2 = 5073.426, dw = -0.06513, nw = 1651 z120525.0020.ec.fits: ap = 59, w1 = 5134.637, w2 = 5028.136, dw = -0.06455, nw = 1651 z120525.0020.ec.fits: ap = 60, w1 = 5089.206, w2 = 4983.649, dw = -0.06397, nw = 1651 z120525.0020.ec.fits: ap = 61, w1 = 5044.572, w2 = 4939.942, dw = -0.06341, nw = 1651 z120525.0020.ec.fits: ap = 62, w1 = 5000.714, w2 = 4896.995, dw = -0.06286, nw = 1651 z120525.0020.ec.fits: ap = 63, w1 = 4957.613, w2 = 4854.788, dw = -0.06232, nw = 1651 z120525.0020.ec.fits: ap = 64, w1 = 4915.248, w2 = 4813.304, dw = -0.06178, nw = 1651 z120525.0020.ec.fits: ap = 65, w1 = 4873.602, w2 = 4772.522, dw = -0.06126, nw = 1651 z120525.0020.ec.fits: ap = 66, w1 = 4832.655, w2 = 4732.426, dw = -0.06075, nw = 1651 z120525.0020.ec.fits: ap = 67, w1 = 4792.392, w2 = 4692.998, dw = -0.06024, nw = 1651 z120525.0020.ec.fits: ap = 68, w1 = 4752.793, w2 = 4654.222, dw = -0.05974, nw = 1651 z120525.0020.ec.fits: ap = 69, w1 = 4713.844, w2 = 4616.082, dw = -0.05925, nw = 1651 z120525.0020.ec.fits: ap = 70, w1 = 4675.529, w2 = 4578.562, dw = -0.05877, nw = 1651 z120525.0020.ec.fits: ap = 71, w1 = 4637.831, w2 = 4541.647, dw = -0.05829, nw = 1651 z120525.0020.ec.fits: ap = 72, w1 = 4600.737, w2 = 4505.324, dw = -0.05783, nw = 1651 z120525.0020.ec.fits: ap = 73, w1 = 4564.232, w2 = 4469.576, dw = -0.05737, nw = 1651 z120525.0020.ec.fits: ap = 74, w1 = 4528.302, w2 = 4434.392, dw = -0.05692, nw = 1651 z120525.0020.ec.fits: ap = 75, w1 = 4492.933, w2 = 4399.758, dw = -0.05647, nw = 1651 z120525.0020.ec.fits: ap = 76, w1 = 4458.113, w2 = 4365.66, dw = -0.05603, nw = 1651 z120525.0020.ec.fits: ap = 77, w1 = 4423.828, w2 = 4332.088, dw = -0.0556, nw = 1651 z120525.0020.ec.fits: ap = 78, w1 = 4390.067, w2 = 4299.028, dw = -0.05518, nw = 1651 z120525.0020.ec.fits: ap = 79, w1 = 4356.818, w2 = 4266.468, dw = -0.05476, nw = 1651 z120525.0020.ec.fits: ap = 80, w1 = 4324.069, w2 = 4234.399, dw = -0.05435, nw = 1651 z120525.0020.ec.fits: ap = 81, w1 = 4291.809, w2 = 4202.809, dw = -0.05394, nw = 1651 z120525.0020.ec.fits: ap = 82, w1 = 4260.027, w2 = 4171.686, dw = -0.05354, nw = 1651 z120525.0020.ec.fits: ap = 83, w1 = 4228.712, w2 = 4141.022, dw = -0.05315, nw = 1651 z120525.0020.ec.fits: ap = 84, w1 = 4197.854, w2 = 4110.805, dw = -0.05276, nw = 1651 z120525.0020.ec.fits: ap = 85, w1 = 4167.444, w2 = 4081.026, dw = -0.05237, nw = 1651 z120525.0020.ec.fits: ap = 86, w1 = 4137.472, w2 = 4051.676, dw = -0.052, nw = 1651 z120525.0020.ec.fits: ap = 87, w1 = 4107.928, w2 = 4022.745, dw = -0.05163, nw = 1651 z120525.0020.ec.fits: ap = 88, w1 = 4078.803, w2 = 3994.224, dw = -0.05126, nw = 1651 z120525.0020.ec.fits: ap = 89, w1 = 4050.088, w2 = 3966.106, dw = -0.0509, nw = 1651 z120525.0020.ec.fits: ap = 90, w1 = 4021.775, w2 = 3938.38, dw = -0.05054, nw = 1651 z120525.0020.ec.fits: ap = 91, w1 = 3993.856, w2 = 3911.04, dw = -0.05019, nw = 1651 z120525.0020.ec.fits: ap = 92, w1 = 3966.322, w2 = 3884.078, dw = -0.04984, nw = 1651 z120525.0020.ec.fits: ap = 93, w1 = 3939.165, w2 = 3857.484, dw = -0.0495, nw = 1651 z120525.0020.ec.fits: ap = 94, w1 = 3912.377, w2 = 3831.253, dw = -0.04917, nw = 1651 z120525.0020.ec.fits: ap = 95, w1 = 3885.952, w2 = 3805.376, dw = -0.04883, nw = 1651 z120525.0020.ec.fits: ap = 96, w1 = 3859.882, w2 = 3779.847, dw = -0.04851, nw = 1651 z120525.0020.ec.fits: ap = 97, w1 = 3834.159, w2 = 3754.658, dw = -0.04818, nw = 1651 z120525.0020.ec.fits: ap = 98, w1 = 3808.777, w2 = 3729.803, dw = -0.04786, nw = 1651 z120525.0020.ec.fits: ap = 99, w1 = 3783.729, w2 = 3705.275, dw = -0.04755, nw = 1651 z120525.0020.ec.fits: ap = 100, w1 = 3759.009, w2 = 3681.068, dw = -0.04724, nw = 1651 z120525.0020.ec.fits: ap = 101, w1 = 3734.61, w2 = 3657.175, dw = -0.04693, nw = 1651 z120525.0020.ec.fits: ap = 102, w1 = 3710.526, w2 = 3633.591, dw = -0.04663, nw = 1651 z120525.0020.ec.fits: ap = 103, w1 = 3686.751, w2 = 3610.309, dw = -0.04633, nw = 1651 z120525.0020.ec.fits: ap = 104, w1 = 3663.279, w2 = 3587.324, dw = -0.04603, nw = 1651 z120525.0020.ec.fits: ap = 105, w1 = 3640.104, w2 = 3564.63, dw = -0.04574, nw = 1651 z120525.0020.ec.fits: ap = 106, w1 = 3617.221, w2 = 3542.221, dw = -0.04545, nw = 1651 z120525.0020.ec.fits: ap = 107, w1 = 3594.624, w2 = 3520.093, dw = -0.04517, nw = 1651 120525.0021.ec.fits: REFSPEC1 = '120525.0021.ec 1.' z120525.0021.ec.fits: ap = 1, w1 = 10648.8, w2 = 10427.74, dw = -0.13398, nw = 1651 z120525.0021.ec.fits: ap = 2, w1 = 10455.2, w2 = 10238.16, dw = -0.13154, nw = 1651 z120525.0021.ec.fits: ap = 3, w1 = 10268.51, w2 = 10055.35, dw = -0.12919, nw = 1651 z120525.0021.ec.fits: ap = 4, w1 = 10088.38, w2 = 9878.959, dw = -0.12692, nw = 1651 z120525.0021.ec.fits: ap = 5, w1 = 9914.453, w2 = 9708.648, dw = -0.12473, nw = 1651 z120525.0021.ec.fits: ap = 6, w1 = 9746.424, w2 = 9544.11, dw = -0.12261, nw = 1651 z120525.0021.ec.fits: ap = 7, w1 = 9583.996, w2 = 9385.057, dw = -0.12057, nw = 1651 z120525.0021.ec.fits: ap = 8, w1 = 9426.894, w2 = 9231.218, dw = -0.11859, nw = 1651 z120525.0021.ec.fits: ap = 9, w1 = 9274.859, w2 = 9082.342, dw = -0.11668, nw = 1651 z120525.0021.ec.fits: ap = 10, w1 = 9127.65, w2 = 8938.192, dw = -0.11482, nw = 1651 z120525.0021.ec.fits: ap = 11, w1 = 8985.042, w2 = 8798.547, dw = -0.11303, nw = 1651 z120525.0021.ec.fits: ap = 12, w1 = 8846.822, w2 = 8663.199, dw = -0.11129, nw = 1651 z120525.0021.ec.fits: ap = 13, w1 = 8712.79, w2 = 8531.951, dw = -0.1096, nw = 1651 z120525.0021.ec.fits: ap = 14, w1 = 8582.759, w2 = 8404.622, dw = -0.10796, nw = 1651 z120525.0021.ec.fits: ap = 15, w1 = 8456.552, w2 = 8281.038, dw = -0.10637, nw = 1651 z120525.0021.ec.fits: ap = 16, w1 = 8334.004, w2 = 8161.036, dw = -0.10483, nw = 1651 z120525.0021.ec.fits: ap = 17, w1 = 8214.957, w2 = 8044.462, dw = -0.10333, nw = 1651 z120525.0021.ec.fits: ap = 18, w1 = 8099.263, w2 = 7931.172, dw = -0.10187, nw = 1651 z120525.0021.ec.fits: ap = 19, w1 = 7986.783, w2 = 7821.029, dw = -0.10046, nw = 1651 z120525.0021.ec.fits: ap = 20, w1 = 7877.384, w2 = 7713.904, dw = -0.09908, nw = 1651 z120525.0021.ec.fits: ap = 21, w1 = 7770.943, w2 = 7609.673, dw = -0.09774, nw = 1651 z120525.0021.ec.fits: ap = 22, w1 = 7667.34, w2 = 7508.223, dw = -0.09643, nw = 1651 z120525.0021.ec.fits: ap = 23, w1 = 7566.463, w2 = 7409.442, dw = -0.09516, nw = 1651 z120525.0021.ec.fits: ap = 24, w1 = 7468.206, w2 = 7313.227, dw = -0.09393, nw = 1651 z120525.0021.ec.fits: ap = 25, w1 = 7372.469, w2 = 7219.479, dw = -0.09272, nw = 1651 z120525.0021.ec.fits: ap = 26, w1 = 7279.155, w2 = 7128.104, dw = -0.09155, nw = 1651 z120525.0021.ec.fits: ap = 27, w1 = 7188.175, w2 = 7039.013, dw = -0.0904, nw = 1651 z120525.0021.ec.fits: ap = 28, w1 = 7099.44, w2 = 6952.123, dw = -0.08928, nw = 1651 z120525.0021.ec.fits: ap = 29, w1 = 7012.871, w2 = 6867.351, dw = -0.08819, nw = 1651 z120525.0021.ec.fits: ap = 30, w1 = 6928.387, w2 = 6784.623, dw = -0.08713, nw = 1651 z120525.0021.ec.fits: ap = 31, w1 = 6845.914, w2 = 6703.864, dw = -0.08609, nw = 1651 z120525.0021.ec.fits: ap = 32, w1 = 6765.382, w2 = 6625.005, dw = -0.08508, nw = 1651 z120525.0021.ec.fits: ap = 33, w1 = 6686.724, w2 = 6547.981, dw = -0.08409, nw = 1651 z120525.0021.ec.fits: ap = 34, w1 = 6609.873, w2 = 6472.727, dw = -0.08312, nw = 1651 z120525.0021.ec.fits: ap = 35, w1 = 6534.769, w2 = 6399.183, dw = -0.08217, nw = 1651 z120525.0021.ec.fits: ap = 36, w1 = 6461.353, w2 = 6327.292, dw = -0.08125, nw = 1651 z120525.0021.ec.fits: ap = 37, w1 = 6389.568, w2 = 6256.999, dw = -0.08035, nw = 1651 z120525.0021.ec.fits: ap = 38, w1 = 6319.361, w2 = 6188.25, dw = -0.07946, nw = 1651 z120525.0021.ec.fits: ap = 39, w1 = 6250.68, w2 = 6120.997, dw = -0.0786, nw = 1651 z120525.0021.ec.fits: ap = 40, w1 = 6183.477, w2 = 6055.189, dw = -0.07775, nw = 1651 z120525.0021.ec.fits: ap = 41, w1 = 6117.703, w2 = 5990.782, dw = -0.07692, nw = 1651 z120525.0021.ec.fits: ap = 42, w1 = 6053.314, w2 = 5927.731, dw = -0.07611, nw = 1651 z120525.0021.ec.fits: ap = 43, w1 = 5990.267, w2 = 5865.993, dw = -0.07532, nw = 1651 z120525.0021.ec.fits: ap = 44, w1 = 5928.519, w2 = 5805.528, dw = -0.07454, nw = 1651 z120525.0021.ec.fits: ap = 45, w1 = 5868.032, w2 = 5746.298, dw = -0.07378, nw = 1651 z120525.0021.ec.fits: ap = 46, w1 = 5808.767, w2 = 5688.264, dw = -0.07303, nw = 1651 z120525.0021.ec.fits: ap = 47, w1 = 5750.687, w2 = 5631.39, dw = -0.0723, nw = 1651 z120525.0021.ec.fits: ap = 48, w1 = 5693.758, w2 = 5575.643, dw = -0.07158, nw = 1651 z120525.0021.ec.fits: ap = 49, w1 = 5637.944, w2 = 5520.989, dw = -0.07088, nw = 1651 z120525.0021.ec.fits: ap = 50, w1 = 5583.215, w2 = 5467.397, dw = -0.07019, nw = 1651 z120525.0021.ec.fits: ap = 51, w1 = 5529.538, w2 = 5414.835, dw = -0.06952, nw = 1651 z120525.0021.ec.fits: ap = 52, w1 = 5476.884, w2 = 5363.274, dw = -0.06885, nw = 1651 z120525.0021.ec.fits: ap = 53, w1 = 5425.223, w2 = 5312.687, dw = -0.0682, nw = 1651 z120525.0021.ec.fits: ap = 54, w1 = 5374.528, w2 = 5263.045, dw = -0.06757, nw = 1651 z120525.0021.ec.fits: ap = 55, w1 = 5324.771, w2 = 5214.322, dw = -0.06694, nw = 1651 z120525.0021.ec.fits: ap = 56, w1 = 5275.928, w2 = 5166.493, dw = -0.06632, nw = 1651 z120525.0021.ec.fits: ap = 57, w1 = 5227.973, w2 = 5119.534, dw = -0.06572, nw = 1651 z120525.0021.ec.fits: ap = 58, w1 = 5180.882, w2 = 5073.421, dw = -0.06513, nw = 1651 z120525.0021.ec.fits: ap = 59, w1 = 5134.632, w2 = 5028.132, dw = -0.06455, nw = 1651 z120525.0021.ec.fits: ap = 60, w1 = 5089.201, w2 = 4983.645, dw = -0.06397, nw = 1651 z120525.0021.ec.fits: ap = 61, w1 = 5044.567, w2 = 4939.937, dw = -0.06341, nw = 1651 z120525.0021.ec.fits: ap = 62, w1 = 5000.71, w2 = 4896.991, dw = -0.06286, nw = 1651 z120525.0021.ec.fits: ap = 63, w1 = 4957.608, w2 = 4854.784, dw = -0.06232, nw = 1651 z120525.0021.ec.fits: ap = 64, w1 = 4915.244, w2 = 4813.3, dw = -0.06178, nw = 1651 z120525.0021.ec.fits: ap = 65, w1 = 4873.597, w2 = 4772.518, dw = -0.06126, nw = 1651 z120525.0021.ec.fits: ap = 66, w1 = 4832.651, w2 = 4732.422, dw = -0.06074, nw = 1651 z120525.0021.ec.fits: ap = 67, w1 = 4792.387, w2 = 4692.994, dw = -0.06024, nw = 1651 z120525.0021.ec.fits: ap = 68, w1 = 4752.789, w2 = 4654.218, dw = -0.05974, nw = 1651 z120525.0021.ec.fits: ap = 69, w1 = 4713.84, w2 = 4616.078, dw = -0.05925, nw = 1651 z120525.0021.ec.fits: ap = 70, w1 = 4675.524, w2 = 4578.559, dw = -0.05877, nw = 1651 z120525.0021.ec.fits: ap = 71, w1 = 4637.827, w2 = 4541.644, dw = -0.05829, nw = 1651 z120525.0021.ec.fits: ap = 72, w1 = 4600.733, w2 = 4505.32, dw = -0.05783, nw = 1651 z120525.0021.ec.fits: ap = 73, w1 = 4564.228, w2 = 4469.573, dw = -0.05737, nw = 1651 z120525.0021.ec.fits: ap = 74, w1 = 4528.298, w2 = 4434.389, dw = -0.05691, nw = 1651 z120525.0021.ec.fits: ap = 75, w1 = 4492.929, w2 = 4399.754, dw = -0.05647, nw = 1651 z120525.0021.ec.fits: ap = 76, w1 = 4458.109, w2 = 4365.657, dw = -0.05603, nw = 1651 z120525.0021.ec.fits: ap = 77, w1 = 4423.824, w2 = 4332.084, dw = -0.0556, nw = 1651 z120525.0021.ec.fits: ap = 78, w1 = 4390.064, w2 = 4299.025, dw = -0.05518, nw = 1651 z120525.0021.ec.fits: ap = 79, w1 = 4356.814, w2 = 4266.466, dw = -0.05476, nw = 1651 z120525.0021.ec.fits: ap = 80, w1 = 4324.065, w2 = 4234.396, dw = -0.05434, nw = 1651 z120525.0021.ec.fits: ap = 81, w1 = 4291.805, w2 = 4202.806, dw = -0.05394, nw = 1651 z120525.0021.ec.fits: ap = 82, w1 = 4260.023, w2 = 4171.684, dw = -0.05354, nw = 1651 z120525.0021.ec.fits: ap = 83, w1 = 4228.709, w2 = 4141.019, dw = -0.05315, nw = 1651 z120525.0021.ec.fits: ap = 84, w1 = 4197.851, w2 = 4110.802, dw = -0.05276, nw = 1651 z120525.0021.ec.fits: ap = 85, w1 = 4167.442, w2 = 4081.024, dw = -0.05237, nw = 1651 z120525.0021.ec.fits: ap = 86, w1 = 4137.469, w2 = 4051.673, dw = -0.052, nw = 1651 z120525.0021.ec.fits: ap = 87, w1 = 4107.925, w2 = 4022.743, dw = -0.05163, nw = 1651 z120525.0021.ec.fits: ap = 88, w1 = 4078.801, w2 = 3994.222, dw = -0.05126, nw = 1651 z120525.0021.ec.fits: ap = 89, w1 = 4050.086, w2 = 3966.104, dw = -0.0509, nw = 1651 z120525.0021.ec.fits: ap = 90, w1 = 4021.774, w2 = 3938.379, dw = -0.05054, nw = 1651 z120525.0021.ec.fits: ap = 91, w1 = 3993.854, w2 = 3911.039, dw = -0.05019, nw = 1651 z120525.0021.ec.fits: ap = 92, w1 = 3966.32, w2 = 3884.076, dw = -0.04984, nw = 1651 z120525.0021.ec.fits: ap = 93, w1 = 3939.164, w2 = 3857.483, dw = -0.0495, nw = 1651 z120525.0021.ec.fits: ap = 94, w1 = 3912.377, w2 = 3831.252, dw = -0.04917, nw = 1651 z120525.0021.ec.fits: ap = 95, w1 = 3885.952, w2 = 3805.375, dw = -0.04883, nw = 1651 z120525.0021.ec.fits: ap = 96, w1 = 3859.882, w2 = 3779.846, dw = -0.04851, nw = 1651 z120525.0021.ec.fits: ap = 97, w1 = 3834.159, w2 = 3754.657, dw = -0.04818, nw = 1651 z120525.0021.ec.fits: ap = 98, w1 = 3808.778, w2 = 3729.802, dw = -0.04786, nw = 1651 z120525.0021.ec.fits: ap = 99, w1 = 3783.731, w2 = 3705.274, dw = -0.04755, nw = 1651 z120525.0021.ec.fits: ap = 100, w1 = 3759.011, w2 = 3681.067, dw = -0.04724, nw = 1651 z120525.0021.ec.fits: ap = 101, w1 = 3734.612, w2 = 3657.175, dw = -0.04693, nw = 1651 z120525.0021.ec.fits: ap = 102, w1 = 3710.528, w2 = 3633.591, dw = -0.04663, nw = 1651 z120525.0021.ec.fits: ap = 103, w1 = 3686.754, w2 = 3610.309, dw = -0.04633, nw = 1651 z120525.0021.ec.fits: ap = 104, w1 = 3663.282, w2 = 3587.324, dw = -0.04604, nw = 1651 z120525.0021.ec.fits: ap = 105, w1 = 3640.108, w2 = 3564.63, dw = -0.04574, nw = 1651 z120525.0021.ec.fits: ap = 106, w1 = 3617.225, w2 = 3542.222, dw = -0.04546, nw = 1651 z120525.0021.ec.fits: ap = 107, w1 = 3594.628, w2 = 3520.094, dw = -0.04517, nw = 1651 Continuum fitting the spectra... Combining spectra... Dec 10 15:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0002.ec.fits[ 1] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 2] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 3] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 4] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 5] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 6] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 7] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 8] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 9] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 10] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 11] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 12] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 13] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 14] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 15] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 16] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 17] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 18] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 19] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 20] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 21] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 22] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 23] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 24] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 25] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 26] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 27] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 28] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 29] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 30] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 31] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 32] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 33] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 34] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 35] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 36] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 37] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 38] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 39] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 40] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 41] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 42] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 43] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 44] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 45] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 46] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 47] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 48] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 49] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 50] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 51] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 52] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 53] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 54] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 55] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 56] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 57] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 58] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 59] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 60] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 61] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 62] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 63] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 64] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 65] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 66] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 67] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 68] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 69] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 70] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 71] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 72] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 73] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 74] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 75] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 76] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 77] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 78] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 79] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 80] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 81] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 82] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 83] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 84] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 85] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 86] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 87] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 88] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 89] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 90] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 91] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 92] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 93] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 94] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 95] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 96] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 97] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 98] 600.0 1.000 0. 0.009 120525.0002.ec.fits[ 99] 600.0 1.000 0. 0.009 120525.0002.ec.fits[100] 600.0 1.000 0. 0.009 120525.0002.ec.fits[101] 600.0 1.000 0. 0.009 120525.0002.ec.fits[102] 600.0 1.000 0. 0.009 120525.0002.ec.fits[103] 600.0 1.000 0. 0.009 120525.0002.ec.fits[104] 600.0 1.000 0. 0.009 120525.0002.ec.fits[105] 600.0 1.000 0. 0.009 120525.0002.ec.fits[106] 600.0 1.000 0. 0.009 120525.0002.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120525.0002.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:08: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0003.ec.fits[ 1] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 2] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 3] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 4] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 5] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 6] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 7] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 8] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 9] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 10] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 11] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 12] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 13] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 14] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 15] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 16] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 17] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 18] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 19] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 20] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 21] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 22] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 23] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 24] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 25] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 26] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 27] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 28] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 29] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 30] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 31] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 32] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 33] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 34] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 35] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 36] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 37] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 38] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 39] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 40] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 41] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 42] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 43] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 44] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 45] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 46] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 47] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 48] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 49] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 50] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 51] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 52] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 53] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 54] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 55] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 56] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 57] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 58] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 59] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 60] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 61] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 62] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 63] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 64] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 65] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 66] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 67] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 68] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 69] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 70] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 71] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 72] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 73] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 74] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 75] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 76] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 77] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 78] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 79] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 80] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 81] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 82] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 83] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 84] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 85] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 86] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 87] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 88] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 89] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 90] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 91] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 92] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 93] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 94] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 95] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 96] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 97] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 98] 600.0 1.000 0. 0.009 120525.0003.ec.fits[ 99] 600.0 1.000 0. 0.009 120525.0003.ec.fits[100] 600.0 1.000 0. 0.009 120525.0003.ec.fits[101] 600.0 1.000 0. 0.009 120525.0003.ec.fits[102] 600.0 1.000 0. 0.009 120525.0003.ec.fits[103] 600.0 1.000 0. 0.009 120525.0003.ec.fits[104] 600.0 1.000 0. 0.009 120525.0003.ec.fits[105] 600.0 1.000 0. 0.009 120525.0003.ec.fits[106] 600.0 1.000 0. 0.009 120525.0003.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120525.0003.ec.fits, ncombine = 107, exptime = 64200.31 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:09: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0004.ec.fits[ 1] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 2] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 3] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 4] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 5] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 6] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 7] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 8] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 9] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 10] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 11] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 12] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 13] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 14] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 15] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 16] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 17] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 18] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 19] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 20] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 21] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 22] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 23] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 24] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 25] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 26] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 27] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 28] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 29] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 30] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 31] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 32] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 33] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 34] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 35] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 36] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 37] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 38] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 39] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 40] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 41] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 42] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 43] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 44] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 45] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 46] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 47] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 48] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 49] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 50] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 51] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 52] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 53] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 54] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 55] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 56] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 57] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 58] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 59] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 60] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 61] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 62] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 63] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 64] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 65] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 66] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 67] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 68] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 69] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 70] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 71] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 72] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 73] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 74] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 75] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 76] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 77] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 78] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 79] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 80] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 81] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 82] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 83] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 84] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 85] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 86] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 87] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 88] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 89] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 90] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 91] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 92] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 93] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 94] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 95] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 96] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 97] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 98] 600.0 1.000 0. 0.009 120525.0004.ec.fits[ 99] 600.0 1.000 0. 0.009 120525.0004.ec.fits[100] 600.0 1.000 0. 0.009 120525.0004.ec.fits[101] 600.0 1.000 0. 0.009 120525.0004.ec.fits[102] 600.0 1.000 0. 0.009 120525.0004.ec.fits[103] 600.0 1.000 0. 0.009 120525.0004.ec.fits[104] 600.0 1.000 0. 0.009 120525.0004.ec.fits[105] 600.0 1.000 0. 0.009 120525.0004.ec.fits[106] 600.0 1.000 0. 0.009 120525.0004.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120525.0004.ec.fits, ncombine = 107, exptime = 64200.03 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0005.ec.fits[ 1] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 2] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 3] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 4] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 5] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 6] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 7] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 8] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 9] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 10] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 11] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 12] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 13] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 14] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 15] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 16] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 17] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 18] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 19] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 20] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 21] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 22] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 23] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 24] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 25] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 26] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 27] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 28] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 29] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 30] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 31] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 32] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 33] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 34] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 35] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 36] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 37] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 38] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 39] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 40] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 41] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 42] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 43] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 44] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 45] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 46] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 47] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 48] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 49] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 50] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 51] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 52] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 53] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 54] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 55] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 56] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 57] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 58] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 59] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 60] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 61] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 62] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 63] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 64] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 65] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 66] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 67] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 68] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 69] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 70] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 71] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 72] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 73] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 74] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 75] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 76] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 77] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 78] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 79] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 80] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 81] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 82] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 83] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 84] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 85] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 86] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 87] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 88] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 89] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 90] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 91] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 92] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 93] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 94] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 95] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 96] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 97] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 98] 720.0 1.000 0. 0.009 120525.0005.ec.fits[ 99] 720.0 1.000 0. 0.009 120525.0005.ec.fits[100] 720.0 1.000 0. 0.009 120525.0005.ec.fits[101] 720.0 1.000 0. 0.009 120525.0005.ec.fits[102] 720.0 1.000 0. 0.009 120525.0005.ec.fits[103] 720.0 1.000 0. 0.009 120525.0005.ec.fits[104] 720.0 1.000 0. 0.009 120525.0005.ec.fits[105] 720.0 1.000 0. 0.009 120525.0005.ec.fits[106] 720.0 1.000 0. 0.009 120525.0005.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120525.0005.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:10: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0006.ec.fits[ 1] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 2] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 3] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 4] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 5] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 6] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 7] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 8] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 9] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 10] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 11] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 12] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 13] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 14] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 15] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 16] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 17] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 18] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 19] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 20] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 21] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 22] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 23] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 24] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 25] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 26] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 27] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 28] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 29] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 30] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 31] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 32] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 33] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 34] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 35] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 36] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 37] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 38] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 39] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 40] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 41] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 42] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 43] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 44] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 45] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 46] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 47] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 48] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 49] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 50] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 51] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 52] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 53] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 54] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 55] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 56] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 57] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 58] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 59] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 60] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 61] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 62] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 63] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 64] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 65] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 66] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 67] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 68] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 69] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 70] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 71] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 72] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 73] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 74] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 75] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 76] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 77] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 78] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 79] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 80] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 81] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 82] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 83] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 84] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 85] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 86] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 87] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 88] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 89] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 90] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 91] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 92] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 93] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 94] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 95] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 96] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 97] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 98] 720.0 1.000 0. 0.009 120525.0006.ec.fits[ 99] 720.0 1.000 0. 0.009 120525.0006.ec.fits[100] 720.0 1.000 0. 0.009 120525.0006.ec.fits[101] 720.0 1.000 0. 0.009 120525.0006.ec.fits[102] 720.0 1.000 0. 0.009 120525.0006.ec.fits[103] 720.0 1.000 0. 0.009 120525.0006.ec.fits[104] 720.0 1.000 0. 0.009 120525.0006.ec.fits[105] 720.0 1.000 0. 0.009 120525.0006.ec.fits[106] 720.0 1.000 0. 0.009 120525.0006.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120525.0006.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:11: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0007.ec.fits[ 1] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 2] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 3] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 4] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 5] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 6] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 7] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 8] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 9] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 10] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 11] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 12] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 13] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 14] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 15] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 16] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 17] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 18] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 19] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 20] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 21] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 22] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 23] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 24] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 25] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 26] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 27] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 28] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 29] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 30] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 31] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 32] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 33] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 34] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 35] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 36] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 37] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 38] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 39] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 40] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 41] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 42] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 43] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 44] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 45] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 46] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 47] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 48] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 49] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 50] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 51] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 52] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 53] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 54] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 55] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 56] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 57] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 58] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 59] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 60] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 61] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 62] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 63] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 64] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 65] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 66] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 67] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 68] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 69] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 70] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 71] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 72] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 73] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 74] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 75] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 76] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 77] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 78] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 79] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 80] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 81] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 82] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 83] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 84] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 85] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 86] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 87] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 88] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 89] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 90] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 91] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 92] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 93] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 94] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 95] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 96] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 97] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 98] 900.0 1.000 0. 0.009 120525.0007.ec.fits[ 99] 900.0 1.000 0. 0.009 120525.0007.ec.fits[100] 900.0 1.000 0. 0.009 120525.0007.ec.fits[101] 900.0 1.000 0. 0.009 120525.0007.ec.fits[102] 900.0 1.000 0. 0.009 120525.0007.ec.fits[103] 900.0 1.000 0. 0.009 120525.0007.ec.fits[104] 900.0 1.000 0. 0.009 120525.0007.ec.fits[105] 900.0 1.000 0. 0.009 120525.0007.ec.fits[106] 900.0 1.000 0. 0.009 120525.0007.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sum120525.0007.ec.fits, ncombine = 107, exptime = 96300.02 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0008.ec.fits[ 1] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 2] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 3] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 4] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 5] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 6] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 7] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 8] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 9] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 10] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 11] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 12] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 13] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 14] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 15] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 16] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 17] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 18] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 19] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 20] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 21] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 22] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 23] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 24] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 25] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 26] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 27] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 28] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 29] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 30] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 31] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 32] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 33] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 34] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 35] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 36] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 37] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 38] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 39] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 40] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 41] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 42] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 43] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 44] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 45] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 46] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 47] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 48] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 49] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 50] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 51] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 52] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 53] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 54] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 55] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 56] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 57] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 58] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 59] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 60] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 61] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 62] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 63] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 64] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 65] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 66] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 67] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 68] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 69] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 70] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 71] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 72] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 73] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 74] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 75] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 76] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 77] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 78] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 79] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 80] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 81] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 82] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 83] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 84] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 85] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 86] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 87] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 88] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 89] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 90] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 91] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 92] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 93] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 94] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 95] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 96] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 97] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 98] 900.0 1.000 0. 0.009 120525.0008.ec.fits[ 99] 900.0 1.000 0. 0.009 120525.0008.ec.fits[100] 900.0 1.000 0. 0.009 120525.0008.ec.fits[101] 900.0 1.000 0. 0.009 120525.0008.ec.fits[102] 900.0 1.000 0. 0.009 120525.0008.ec.fits[103] 900.0 1.000 0. 0.009 120525.0008.ec.fits[104] 900.0 1.000 0. 0.009 120525.0008.ec.fits[105] 900.0 1.000 0. 0.009 120525.0008.ec.fits[106] 900.0 1.000 0. 0.009 120525.0008.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sum120525.0008.ec.fits, ncombine = 107, exptime = 96299.99 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:12: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0009.ec.fits[ 1] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 2] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 3] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 4] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 5] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 6] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 7] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 8] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 9] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 10] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 11] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 12] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 13] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 14] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 15] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 16] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 17] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 18] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 19] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 20] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 21] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 22] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 23] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 24] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 25] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 26] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 27] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 28] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 29] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 30] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 31] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 32] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 33] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 34] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 35] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 36] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 37] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 38] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 39] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 40] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 41] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 42] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 43] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 44] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 45] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 46] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 47] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 48] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 49] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 50] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 51] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 52] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 53] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 54] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 55] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 56] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 57] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 58] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 59] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 60] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 61] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 62] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 63] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 64] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 65] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 66] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 67] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 68] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 69] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 70] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 71] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 72] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 73] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 74] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 75] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 76] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 77] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 78] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 79] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 80] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 81] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 82] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 83] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 84] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 85] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 86] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 87] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 88] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 89] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 90] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 91] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 92] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 93] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 94] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 95] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 96] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 97] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 98] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[ 99] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[100] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[101] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[102] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[103] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[104] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[105] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[106] 1200.0 1.000 0. 0.009 120525.0009.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sum120525.0009.ec.fits, ncombine = 107, exptime = 128400. w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:13: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0010.ec.fits[ 1] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 2] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 3] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 4] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 5] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 6] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 7] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 8] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 9] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 10] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 11] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 12] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 13] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 14] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 15] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 16] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 17] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 18] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 19] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 20] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 21] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 22] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 23] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 24] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 25] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 26] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 27] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 28] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 29] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 30] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 31] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 32] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 33] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 34] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 35] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 36] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 37] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 38] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 39] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 40] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 41] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 42] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 43] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 44] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 45] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 46] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 47] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 48] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 49] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 50] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 51] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 52] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 53] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 54] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 55] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 56] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 57] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 58] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 59] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 60] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 61] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 62] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 63] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 64] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 65] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 66] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 67] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 68] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 69] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 70] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 71] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 72] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 73] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 74] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 75] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 76] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 77] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 78] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 79] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 80] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 81] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 82] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 83] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 84] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 85] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 86] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 87] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 88] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 89] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 90] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 91] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 92] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 93] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 94] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 95] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 96] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 97] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 98] 600.0 1.000 0. 0.009 120525.0010.ec.fits[ 99] 600.0 1.000 0. 0.009 120525.0010.ec.fits[100] 600.0 1.000 0. 0.009 120525.0010.ec.fits[101] 600.0 1.000 0. 0.009 120525.0010.ec.fits[102] 600.0 1.000 0. 0.009 120525.0010.ec.fits[103] 600.0 1.000 0. 0.009 120525.0010.ec.fits[104] 600.0 1.000 0. 0.009 120525.0010.ec.fits[105] 600.0 1.000 0. 0.009 120525.0010.ec.fits[106] 600.0 1.000 0. 0.009 120525.0010.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sum120525.0010.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0011.ec.fits[ 1] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 2] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 3] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 4] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 5] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 6] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 7] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 8] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 9] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 10] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 11] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 12] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 13] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 14] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 15] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 16] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 17] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 18] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 19] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 20] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 21] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 22] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 23] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 24] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 25] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 26] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 27] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 28] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 29] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 30] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 31] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 32] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 33] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 34] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 35] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 36] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 37] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 38] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 39] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 40] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 41] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 42] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 43] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 44] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 45] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 46] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 47] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 48] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 49] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 50] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 51] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 52] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 53] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 54] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 55] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 56] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 57] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 58] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 59] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 60] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 61] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 62] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 63] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 64] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 65] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 66] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 67] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 68] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 69] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 70] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 71] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 72] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 73] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 74] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 75] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 76] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 77] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 78] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 79] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 80] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 81] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 82] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 83] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 84] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 85] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 86] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 87] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 88] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 89] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 90] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 91] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 92] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 93] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 94] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 95] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 96] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 97] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 98] 720.0 1.000 0. 0.009 120525.0011.ec.fits[ 99] 720.0 1.000 0. 0.009 120525.0011.ec.fits[100] 720.0 1.000 0. 0.009 120525.0011.ec.fits[101] 720.0 1.000 0. 0.009 120525.0011.ec.fits[102] 720.0 1.000 0. 0.009 120525.0011.ec.fits[103] 720.0 1.000 0. 0.009 120525.0011.ec.fits[104] 720.0 1.000 0. 0.009 120525.0011.ec.fits[105] 720.0 1.000 0. 0.009 120525.0011.ec.fits[106] 720.0 1.000 0. 0.009 120525.0011.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120525.0011.ec.fits, ncombine = 107, exptime = 77040.07 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0012.ec.fits[ 1] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 2] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 3] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 4] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 5] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 6] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 7] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 8] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 9] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 10] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 11] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 12] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 13] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 14] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 15] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 16] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 17] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 18] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 19] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 20] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 21] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 22] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 23] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 24] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 25] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 26] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 27] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 28] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 29] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 30] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 31] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 32] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 33] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 34] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 35] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 36] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 37] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 38] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 39] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 40] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 41] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 42] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 43] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 44] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 45] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 46] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 47] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 48] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 49] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 50] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 51] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 52] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 53] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 54] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 55] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 56] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 57] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 58] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 59] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 60] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 61] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 62] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 63] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 64] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 65] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 66] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 67] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 68] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 69] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 70] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 71] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 72] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 73] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 74] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 75] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 76] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 77] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 78] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 79] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 80] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 81] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 82] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 83] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 84] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 85] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 86] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 87] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 88] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 89] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 90] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 91] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 92] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 93] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 94] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 95] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 96] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 97] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 98] 720.0 1.000 0. 0.009 120525.0012.ec.fits[ 99] 720.0 1.000 0. 0.009 120525.0012.ec.fits[100] 720.0 1.000 0. 0.009 120525.0012.ec.fits[101] 720.0 1.000 0. 0.009 120525.0012.ec.fits[102] 720.0 1.000 0. 0.009 120525.0012.ec.fits[103] 720.0 1.000 0. 0.009 120525.0012.ec.fits[104] 720.0 1.000 0. 0.009 120525.0012.ec.fits[105] 720.0 1.000 0. 0.009 120525.0012.ec.fits[106] 720.0 1.000 0. 0.009 120525.0012.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sum120525.0012.ec.fits, ncombine = 107, exptime = 77039.98 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:14: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0013.ec.fits[ 1] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 2] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 3] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 4] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 5] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 6] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 7] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 8] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 9] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 10] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 11] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 12] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 13] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 14] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 15] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 16] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 17] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 18] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 19] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 20] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 21] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 22] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 23] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 24] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 25] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 26] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 27] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 28] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 29] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 30] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 31] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 32] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 33] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 34] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 35] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 36] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 37] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 38] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 39] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 40] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 41] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 42] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 43] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 44] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 45] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 46] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 47] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 48] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 49] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 50] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 51] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 52] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 53] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 54] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 55] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 56] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 57] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 58] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 59] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 60] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 61] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 62] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 63] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 64] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 65] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 66] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 67] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 68] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 69] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 70] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 71] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 72] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 73] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 74] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 75] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 76] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 77] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 78] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 79] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 80] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 81] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 82] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 83] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 84] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 85] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 86] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 87] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 88] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 89] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 90] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 91] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 92] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 93] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 94] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 95] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 96] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 97] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 98] 900.0 1.000 0. 0.009 120525.0013.ec.fits[ 99] 900.0 1.000 0. 0.009 120525.0013.ec.fits[100] 900.0 1.000 0. 0.009 120525.0013.ec.fits[101] 900.0 1.000 0. 0.009 120525.0013.ec.fits[102] 900.0 1.000 0. 0.009 120525.0013.ec.fits[103] 900.0 1.000 0. 0.009 120525.0013.ec.fits[104] 900.0 1.000 0. 0.009 120525.0013.ec.fits[105] 900.0 1.000 0. 0.009 120525.0013.ec.fits[106] 900.0 1.000 0. 0.009 120525.0013.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sum120525.0013.ec.fits, ncombine = 107, exptime = 96300.05 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0014.ec.fits[ 1] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 2] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 3] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 4] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 5] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 6] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 7] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 8] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 9] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 10] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 11] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 12] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 13] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 14] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 15] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 16] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 17] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 18] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 19] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 20] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 21] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 22] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 23] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 24] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 25] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 26] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 27] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 28] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 29] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 30] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 31] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 32] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 33] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 34] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 35] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 36] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 37] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 38] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 39] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 40] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 41] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 42] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 43] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 44] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 45] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 46] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 47] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 48] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 49] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 50] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 51] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 52] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 53] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 54] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 55] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 56] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 57] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 58] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 59] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 60] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 61] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 62] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 63] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 64] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 65] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 66] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 67] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 68] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 69] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 70] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 71] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 72] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 73] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 74] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 75] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 76] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 77] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 78] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 79] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 80] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 81] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 82] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 83] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 84] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 85] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 86] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 87] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 88] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 89] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 90] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 91] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 92] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 93] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 94] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 95] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 96] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 97] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 98] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[ 99] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[100] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[101] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[102] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[103] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[104] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[105] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[106] 1200.0 1.000 0. 0.009 120525.0014.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sum120525.0014.ec.fits, ncombine = 107, exptime = 128400. w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:15: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0015.ec.fits[ 1] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 2] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 3] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 4] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 5] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 6] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 7] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 8] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 9] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 10] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 11] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 12] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 13] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 14] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 15] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 16] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 17] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 18] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 19] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 20] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 21] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 22] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 23] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 24] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 25] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 26] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 27] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 28] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 29] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 30] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 31] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 32] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 33] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 34] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 35] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 36] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 37] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 38] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 39] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 40] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 41] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 42] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 43] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 44] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 45] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 46] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 47] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 48] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 49] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 50] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 51] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 52] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 53] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 54] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 55] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 56] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 57] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 58] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 59] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 60] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 61] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 62] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 63] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 64] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 65] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 66] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 67] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 68] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 69] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 70] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 71] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 72] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 73] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 74] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 75] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 76] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 77] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 78] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 79] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 80] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 81] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 82] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 83] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 84] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 85] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 86] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 87] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 88] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 89] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 90] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 91] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 92] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 93] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 94] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 95] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 96] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 97] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 98] 900.0 1.000 0. 0.009 120525.0015.ec.fits[ 99] 900.0 1.000 0. 0.009 120525.0015.ec.fits[100] 900.0 1.000 0. 0.009 120525.0015.ec.fits[101] 900.0 1.000 0. 0.009 120525.0015.ec.fits[102] 900.0 1.000 0. 0.009 120525.0015.ec.fits[103] 900.0 1.000 0. 0.009 120525.0015.ec.fits[104] 900.0 1.000 0. 0.009 120525.0015.ec.fits[105] 900.0 1.000 0. 0.009 120525.0015.ec.fits[106] 900.0 1.000 0. 0.009 120525.0015.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sum120525.0015.ec.fits, ncombine = 107, exptime = 96300.05 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0016.ec.fits[ 1] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 2] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 3] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 4] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 5] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 6] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 7] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 8] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 9] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 10] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 11] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 12] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 13] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 14] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 15] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 16] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 17] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 18] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 19] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 20] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 21] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 22] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 23] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 24] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 25] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 26] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 27] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 28] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 29] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 30] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 31] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 32] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 33] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 34] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 35] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 36] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 37] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 38] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 39] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 40] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 41] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 42] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 43] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 44] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 45] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 46] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 47] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 48] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 49] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 50] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 51] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 52] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 53] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 54] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 55] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 56] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 57] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 58] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 59] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 60] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 61] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 62] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 63] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 64] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 65] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 66] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 67] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 68] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 69] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 70] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 71] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 72] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 73] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 74] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 75] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 76] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 77] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 78] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 79] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 80] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 81] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 82] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 83] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 84] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 85] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 86] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 87] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 88] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 89] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 90] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 91] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 92] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 93] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 94] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 95] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 96] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 97] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 98] 480.0 1.000 0. 0.009 120525.0016.ec.fits[ 99] 480.0 1.000 0. 0.009 120525.0016.ec.fits[100] 480.0 1.000 0. 0.009 120525.0016.ec.fits[101] 480.0 1.000 0. 0.009 120525.0016.ec.fits[102] 480.0 1.000 0. 0.009 120525.0016.ec.fits[103] 480.0 1.000 0. 0.009 120525.0016.ec.fits[104] 480.0 1.000 0. 0.009 120525.0016.ec.fits[105] 480.0 1.000 0. 0.009 120525.0016.ec.fits[106] 480.0 1.000 0. 0.009 120525.0016.ec.fits[107] 480.0 1.000 0. 0.009 Output image = sum120525.0016.ec.fits, ncombine = 107, exptime = 51360.03 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:16: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 120525.0017.ec.fits[ 1] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 2] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 3] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 4] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 5] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 6] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 7] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 8] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 9] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 10] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 11] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 12] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 13] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 14] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 15] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 16] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 17] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 18] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 19] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 20] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 21] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 22] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 23] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 24] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 25] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 26] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 27] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 28] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 29] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 30] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 31] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 32] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 33] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 34] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 35] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 36] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 37] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 38] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 39] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 40] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 41] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 42] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 43] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 44] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 45] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 46] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 47] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 48] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 49] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 50] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 51] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 52] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 53] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 54] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 55] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 56] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 57] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 58] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 59] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 60] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 61] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 62] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 63] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 64] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 65] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 66] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 67] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 68] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 69] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 70] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 71] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 72] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 73] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 74] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 75] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 76] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 77] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 78] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 79] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 80] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 81] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 82] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 83] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 84] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 85] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 86] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 87] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 88] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 89] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 90] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 91] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 92] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 93] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 94] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 95] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 96] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 97] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 98] 480.0 1.000 0. 0.009 120525.0017.ec.fits[ 99] 480.0 1.000 0. 0.009 120525.0017.ec.fits[100] 480.0 1.000 0. 0.009 120525.0017.ec.fits[101] 480.0 1.000 0. 0.009 120525.0017.ec.fits[102] 480.0 1.000 0. 0.009 120525.0017.ec.fits[103] 480.0 1.000 0. 0.009 120525.0017.ec.fits[104] 480.0 1.000 0. 0.009 120525.0017.ec.fits[105] 480.0 1.000 0. 0.009 120525.0017.ec.fits[106] 480.0 1.000 0. 0.009 120525.0017.ec.fits[107] 480.0 1.000 0. 0.009 Output image = sum120525.0017.ec.fits, ncombine = 107, exptime = 51360.03 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0002.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120525.0002.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120525.0002.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:17: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0003.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120525.0003.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120525.0003.ec.fits, ncombine = 107, exptime = 64200.31 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0004.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120525.0004.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120525.0004.ec.fits, ncombine = 107, exptime = 64200.03 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:18: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0005.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120525.0005.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120525.0005.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0006.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120525.0006.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120525.0006.ec.fits, ncombine = 107, exptime = 77040.01 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:19: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0007.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120525.0007.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sumfitcont120525.0007.ec.fits, ncombine = 107, exptime = 96300.02 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0008.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120525.0008.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sumfitcont120525.0008.ec.fits, ncombine = 107, exptime = 96299.99 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:20: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0009.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont120525.0009.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sumfitcont120525.0009.ec.fits, ncombine = 107, exptime = 128400. w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0010.ec.fits[ 1] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 2] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 3] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 4] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 5] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 6] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 7] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 8] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 9] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 10] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 11] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 12] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 13] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 14] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 15] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 16] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 17] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 18] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 19] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 20] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 21] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 22] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 23] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 24] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 25] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 26] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 27] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 28] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 29] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 30] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 31] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 32] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 33] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 34] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 35] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 36] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 37] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 38] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 39] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 40] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 41] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 42] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 43] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 44] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 45] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 46] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 47] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 48] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 49] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 50] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 51] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 52] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 53] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 54] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 55] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 56] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 57] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 58] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 59] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 60] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 61] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 62] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 63] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 64] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 65] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 66] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 67] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 68] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 69] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 70] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 71] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 72] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 73] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 74] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 75] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 76] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 77] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 78] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 79] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 80] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 81] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 82] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 83] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 84] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 85] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 86] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 87] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 88] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 89] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 90] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 91] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 92] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 93] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 94] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 95] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 96] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 97] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 98] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[ 99] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[100] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[101] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[102] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[103] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[104] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[105] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[106] 600.0 1.000 0. 0.009 fitcont120525.0010.ec.fits[107] 600.0 1.000 0. 0.009 Output image = sumfitcont120525.0010.ec.fits, ncombine = 107, exptime = 64200. w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0011.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120525.0011.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120525.0011.ec.fits, ncombine = 107, exptime = 77040.07 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:21: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0012.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[100] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[101] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[102] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[103] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[104] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[105] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[106] 720.0 1.000 0. 0.009 fitcont120525.0012.ec.fits[107] 720.0 1.000 0. 0.009 Output image = sumfitcont120525.0012.ec.fits, ncombine = 107, exptime = 77039.98 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0013.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120525.0013.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sumfitcont120525.0013.ec.fits, ncombine = 107, exptime = 96300.05 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:22: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0014.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont120525.0014.ec.fits[107] 1200.0 1.000 0. 0.009 Output image = sumfitcont120525.0014.ec.fits, ncombine = 107, exptime = 128400. w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0015.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[100] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[101] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[102] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[103] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[104] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[105] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[106] 900.0 1.000 0. 0.009 fitcont120525.0015.ec.fits[107] 900.0 1.000 0. 0.009 Output image = sumfitcont120525.0015.ec.fits, ncombine = 107, exptime = 96300.05 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:23: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0016.ec.fits[ 1] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 2] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 3] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 4] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 5] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 6] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 7] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 8] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 9] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 10] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 11] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 12] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 13] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 14] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 15] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 16] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 17] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 18] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 19] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 20] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 21] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 22] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 23] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 24] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 25] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 26] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 27] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 28] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 29] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 30] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 31] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 32] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 33] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 34] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 35] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 36] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 37] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 38] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 39] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 40] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 41] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 42] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 43] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 44] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 45] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 46] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 47] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 48] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 49] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 50] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 51] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 52] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 53] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 54] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 55] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 56] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 57] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 58] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 59] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 60] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 61] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 62] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 63] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 64] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 65] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 66] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 67] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 68] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 69] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 70] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 71] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 72] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 73] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 74] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 75] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 76] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 77] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 78] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 79] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 80] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 81] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 82] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 83] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 84] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 85] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 86] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 87] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 88] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 89] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 90] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 91] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 92] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 93] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 94] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 95] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 96] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 97] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 98] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[ 99] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[100] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[101] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[102] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[103] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[104] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[105] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[106] 480.0 1.000 0. 0.009 fitcont120525.0016.ec.fits[107] 480.0 1.000 0. 0.009 Output image = sumfitcont120525.0016.ec.fits, ncombine = 107, exptime = 51360.03 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 Dec 10 15:24: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont120525.0017.ec.fits[ 1] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 2] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 3] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 4] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 5] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 6] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 7] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 8] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 9] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 10] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 11] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 12] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 13] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 14] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 15] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 16] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 17] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 18] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 19] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 20] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 21] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 22] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 23] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 24] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 25] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 26] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 27] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 28] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 29] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 30] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 31] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 32] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 33] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 34] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 35] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 36] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 37] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 38] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 39] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 40] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 41] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 42] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 43] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 44] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 45] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 46] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 47] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 48] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 49] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 50] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 51] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 52] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 53] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 54] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 55] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 56] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 57] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 58] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 59] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 60] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 61] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 62] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 63] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 64] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 65] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 66] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 67] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 68] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 69] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 70] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 71] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 72] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 73] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 74] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 75] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 76] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 77] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 78] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 79] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 80] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 81] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 82] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 83] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 84] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 85] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 86] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 87] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 88] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 89] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 90] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 91] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 92] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 93] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 94] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 95] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 96] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 97] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 98] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[ 99] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[100] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[101] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[102] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[103] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[104] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[105] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[106] 480.0 1.000 0. 0.009 fitcont120525.0017.ec.fits[107] 480.0 1.000 0. 0.009 Output image = sumfitcont120525.0017.ec.fits, ncombine = 107, exptime = 51360.03 w1 = 3520.083, w2 = 10648.77, dw = 0.04519208, nw = 157743., dtype = 0 64200. fullspec120525.0002.ec.fits,EXPTIME: 64200. -> 600.0 fullspec120525.0002.ec.fits updated 64200.31 fullspec120525.0003.ec.fits,EXPTIME: 64200.31 -> 600.002897196 fullspec120525.0003.ec.fits updated 64200.03 fullspec120525.0004.ec.fits,EXPTIME: 64200.03 -> 600.000280374 fullspec120525.0004.ec.fits updated 77040.01 fullspec120525.0005.ec.fits,EXPTIME: 77040.01 -> 720.000093458 fullspec120525.0005.ec.fits updated 77040.01 fullspec120525.0006.ec.fits,EXPTIME: 77040.01 -> 720.000093458 fullspec120525.0006.ec.fits updated 96300.02 fullspec120525.0007.ec.fits,EXPTIME: 96300.02 -> 900.000186916 fullspec120525.0007.ec.fits updated 96299.99 fullspec120525.0008.ec.fits,EXPTIME: 96299.99 -> 899.999906542 fullspec120525.0008.ec.fits updated 128400. fullspec120525.0009.ec.fits,EXPTIME: 128400. -> 1200.0 fullspec120525.0009.ec.fits updated 64200. fullspec120525.0010.ec.fits,EXPTIME: 64200. -> 600.0 fullspec120525.0010.ec.fits updated 77040.07 fullspec120525.0011.ec.fits,EXPTIME: 77040.07 -> 720.000654206 fullspec120525.0011.ec.fits updated 77039.98 fullspec120525.0012.ec.fits,EXPTIME: 77039.98 -> 719.999813084 fullspec120525.0012.ec.fits updated 96300.05 fullspec120525.0013.ec.fits,EXPTIME: 96300.05 -> 900.00046729 fullspec120525.0013.ec.fits updated 128400. fullspec120525.0014.ec.fits,EXPTIME: 128400. -> 1200.0 fullspec120525.0014.ec.fits updated 96300.05 fullspec120525.0015.ec.fits,EXPTIME: 96300.05 -> 900.00046729 fullspec120525.0015.ec.fits updated 51360.03 fullspec120525.0016.ec.fits,EXPTIME: 51360.03 -> 480.000280374 fullspec120525.0016.ec.fits updated 51360.03 fullspec120525.0017.ec.fits,EXPTIME: 51360.03 -> 480.000280374 fullspec120525.0017.ec.fits updated ALL DONE! Yay! (=^.^=)