Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 20130512.0019.fits,dispaxis = 1 20130512.0019.fits updated add 20130512.0020.fits,dispaxis = 1 20130512.0020.fits updated add 20130512.0021.fits,dispaxis = 1 20130512.0021.fits updated add 20130512.0022.fits,dispaxis = 1 20130512.0022.fits updated add 20130512.0023.fits,dispaxis = 1 20130512.0023.fits updated add 20130512.0024.fits,dispaxis = 1 20130512.0024.fits updated add 20130512.0025.fits,dispaxis = 1 20130512.0025.fits updated add 20130512.0026.fits,dispaxis = 1 20130512.0026.fits updated add 20130512.0027.fits,dispaxis = 1 20130512.0027.fits updated add 20130512.0028.fits,dispaxis = 1 20130512.0028.fits updated add 20130512.0029.fits,dispaxis = 1 20130512.0029.fits updated add 20130512.0030.fits,dispaxis = 1 20130512.0030.fits updated add Bias.0009.fits,dispaxis = 1 Bias.0009.fits updated add Bias.0010.fits,dispaxis = 1 Bias.0010.fits updated add Bias.0011.fits,dispaxis = 1 Bias.0011.fits updated add Bias.0012.fits,dispaxis = 1 Bias.0012.fits updated add Bias.0013.fits,dispaxis = 1 Bias.0013.fits updated add Bias.0014.fits,dispaxis = 1 Bias.0014.fits updated add Bias.0015.fits,dispaxis = 1 Bias.0015.fits updated add Bias.0016.fits,dispaxis = 1 Bias.0016.fits updated add Bias.0017.fits,dispaxis = 1 Bias.0017.fits updated add Bias.0018.fits,dispaxis = 1 Bias.0018.fits updated add EchelleFlatBlue.0016.fits,dispaxis = 1 EchelleFlatBlue.0016.fits updated add EchelleFlatBlue.0017.fits,dispaxis = 1 EchelleFlatBlue.0017.fits updated add EchelleFlatBlue.0018.fits,dispaxis = 1 EchelleFlatBlue.0018.fits updated add EchelleFlatBlue.0019.fits,dispaxis = 1 EchelleFlatBlue.0019.fits updated add EchelleFlatBlue.0020.fits,dispaxis = 1 EchelleFlatBlue.0020.fits updated add Flat.0003.fits,dispaxis = 1 Flat.0003.fits updated add Flat.0004.fits,dispaxis = 1 Flat.0004.fits updated add Flat.0005.fits,dispaxis = 1 Flat.0005.fits updated add ThAr.0001.fits,dispaxis = 1 ThAr.0001.fits updated add ThAr.0002.fits,dispaxis = 1 ThAr.0002.fits updated FIXPIX: image EchelleFlatBlue.0016.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0017.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0018.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0019.fits with mask echmask.pl FIXPIX: image EchelleFlatBlue.0020.fits with mask echmask.pl FIXPIX: image Flat.0003.fits with mask echmask.pl FIXPIX: image Flat.0004.fits with mask echmask.pl FIXPIX: image Flat.0005.fits with mask echmask.pl FIXPIX: image 20130512.0019.fits with mask echmask.pl FIXPIX: image 20130512.0020.fits with mask echmask.pl FIXPIX: image 20130512.0021.fits with mask echmask.pl FIXPIX: image 20130512.0022.fits with mask echmask.pl FIXPIX: image 20130512.0023.fits with mask echmask.pl FIXPIX: image 20130512.0024.fits with mask echmask.pl FIXPIX: image 20130512.0025.fits with mask echmask.pl FIXPIX: image 20130512.0026.fits with mask echmask.pl FIXPIX: image 20130512.0027.fits with mask echmask.pl FIXPIX: image 20130512.0028.fits with mask echmask.pl FIXPIX: image 20130512.0029.fits with mask echmask.pl FIXPIX: image 20130512.0030.fits with mask echmask.pl FIXPIX: image ThAr.0001.fits with mask echmask.pl FIXPIX: image ThAr.0002.fits with mask echmask.pl Dec 10 12:02: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Exp Bias.0009.fits 0.0 Bias.0010.fits 0.0 Bias.0011.fits 0.9 Bias.0012.fits 0.0 Bias.0013.fits 0.9 Bias.0014.fits 0.0 Bias.0015.fits 0.9 Bias.0016.fits 0.0 Bias.0017.fits 0.9 Bias.0018.fits 0.0 Output image = bias_fid, ncombine = 10 Calibrating object images and flats (bias, and trimming)... 20130512.0019.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0019.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0020.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0020.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0021.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0021.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0022.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0022.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0023.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0023.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0024.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0024.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0025.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0025.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0026.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0026.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0027.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0027.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0028.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0028.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0029.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0029.fits: Dec 10 12:02 Zero level correction image is bias_fid 20130512.0030.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] 20130512.0030.fits: Dec 10 12:02 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Flat.0003.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] Flat.0003.fits: Dec 10 12:02 Zero level correction image is bias_fid Flat.0004.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] Flat.0004.fits: Dec 10 12:02 Zero level correction image is bias_fid Flat.0005.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] Flat.0005.fits: Dec 10 12:02 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... EchelleFlatBlue.0016.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0016.fits: Dec 10 12:02 Zero level correction image is bias_fid EchelleFlatBlue.0017.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0017.fits: Dec 10 12:02 Zero level correction image is bias_fid EchelleFlatBlue.0018.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0018.fits: Dec 10 12:02 Zero level correction image is bias_fid EchelleFlatBlue.0019.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0019.fits: Dec 10 12:02 Zero level correction image is bias_fid EchelleFlatBlue.0020.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] EchelleFlatBlue.0020.fits: Dec 10 12:02 Zero level correction image is bias_fid Calibrating ThAr arcs... ThAr.0001.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] ThAr.0001.fits: Dec 10 12:02 Zero level correction image is bias_fid ThAr.0002.fits: Dec 10 12:02 Trim data section is [200:1850,1:2048] ThAr.0002.fits: Dec 10 12:02 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 12:03: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp EchelleFlatBlue.0016.fits 200.0 EchelleFlatBlue.0017.fits 200.0 EchelleFlatBlue.0018.fits 200.0 EchelleFlatBlue.0019.fits 200.0 EchelleFlatBlue.0020.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 5 Dec 10 12:03: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp Flat.0003.fits 7.0 Flat.0004.fits 7.0 Flat.0005.fits 7.0 Output image = flat_red_mean.fits, ncombine = 3 Combining average red and blue flats into a superflat... IMARITH: Operation = * Operand1 = flat_red_mean.fits Operand2 = filter_redflat.fit Result = flat_red_mean_filt.fits Result pixel type = double Calculation type = double IMARITH: Operation = + Operand1 = flat_blue_mean.fits Operand2 = flat_red_mean_filt.fits Result = junk Result pixel type = double Calculation type = double IMARITH: Operation = / Operand1 = junk Operand2 = 2.0 Result = flat_fid Result pixel type = double Calculation type = double Replacement value for division by zero = 0. Resample the superflat in the y direction... flat_fid_mag.fits Magnify image flat_fid.fits to image flat_fid_mag.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 flat_fid_mag.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] flat_fid_mag.fits updated Modeling and extracting the superflat... Dec 10 12:03: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 1627. Dec 10 12:03: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 1628. Dec 10 12:03: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 98. Dec 10 12:03: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 97. Dec 10 12:03: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1585. Dec 10 12:03: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1586. Dec 10 12:03: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1627. Dec 10 12:03: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1628. Dec 10 12:03: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1635. Dec 10 12:03: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1636. Dec 10 12:03: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 90. Dec 10 12:03: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 89. Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1649. Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1650. Dec 10 12:03: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1651. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1545. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1546. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1547. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1567. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1568. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1569. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1582. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1583. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1632. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 1633. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 93. Dec 10 12:03: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 92. Dec 10 12:03: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1520. Dec 10 12:03: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1521. Dec 10 12:03: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1522. Dec 10 12:03: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 100. Dec 10 12:03: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 99. Dec 10 12:03: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 90. Dec 10 12:03: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 89. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1551. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1552. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1553. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1554. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1583. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1584. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1587. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1588. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1589. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1603. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1604. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1611. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1612. Dec 10 12:03: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1613. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1621. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1622. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1641. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1642. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 250. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 249. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 195. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 194. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 28. Dec 10 12:03: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 27. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1491. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1492. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1568. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1569. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1572. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1573. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1574. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1575. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1584. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1585. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1586. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 140. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 139. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 138. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 122. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 121. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 105. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 104. Dec 10 12:03: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 103. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1527. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1528. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1563. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1564. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1591. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1592. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1593. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1596. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1597. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1616. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1617. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1621. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1622. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1633. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1634. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1638. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1639. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1642. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1643. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1644. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 125. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 124. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 47. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 46. Dec 10 12:03: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 45. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1478. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1479. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1481. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1482. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1485. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1486. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1487. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1520. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1521. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1553. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1554. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1555. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1556. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1591. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1592. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1593. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 214. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 213. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 212. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 211. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 210. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 206. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 205. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 204. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 174. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 173. Dec 10 12:03: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 172. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1484. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1485. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1486. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1497. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 1498. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1513. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1514. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1515. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 215. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 214. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 147. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 146. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 68. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 67. Dec 10 12:03: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 66. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1395. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1396. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1438. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1439. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1460. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1461. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1462. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1463. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1464. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1481. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1482. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1486. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1487. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1498. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1499. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1515. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1516. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1525. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1526. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1527. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 263. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 262. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 261. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 260. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 247. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 246. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 239. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 238. Dec 10 12:03: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 237. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1336. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1337. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1338. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 328. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 327. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 323. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 322. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 303. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 302. Dec 10 12:03: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 301. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1201. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1202. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1356. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1357. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1393. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1394. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1395. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1465. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1466. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1467. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 365. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 364. Dec 10 12:03: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 363. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1239. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1240. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1242. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1243. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1280. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1281. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1282. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1285. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1286. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1292. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1293. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1307. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1308. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1309. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1310. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1334. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1335. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1348. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1349. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1350. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1352. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1353. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1354. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1367. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1368. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1369. Dec 10 12:03: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 493. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 492. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 355. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 354. Dec 10 12:04: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 353. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1150. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1151. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 1152. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1224. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1225. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1226. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 401. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 400. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 398. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 397. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 366. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 365. Dec 10 12:04: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 364. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 938. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 939. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1043. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1044. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 1045. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 667. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 666. Dec 10 12:04: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 665. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 13.02 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... ThAr.0001.fits Magnify image ThAr.0001.fits to image ThAr.0001.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0001.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0001.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... ThAr.0002.fits Magnify image ThAr.0002.fits to image ThAr.0002.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 ThAr.0002.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] ThAr.0002.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 20130512.0019 Magnify image 20130512.0019 to image 20130512.0019. 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 20130512.0019,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0019 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0019 -> noscat20130512.0019 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 20130512.0020 Magnify image 20130512.0020 to image 20130512.0020. 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 20130512.0020,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0020 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0020 -> noscat20130512.0020 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:06: EXTRACT: WARNING - Aperture 1: Dec 10 12:06: Total variance weighted spectrum flux is 6192.231 Dec 10 12:06: Total unweighted spectrum flux is -767.1137 Dec 10 12:06: Variance spectrum bias factor ignored Dec 10 12:07: EXTRACT: WARNING - Aperture 96: Dec 10 12:07: Total variance weighted spectrum flux is 16102.08 Dec 10 12:07: Total unweighted spectrum flux is 6078.122 Dec 10 12:07: EXTRACT: Aperture 96 variance spectrum bias factor is 0.3774743 Dec 10 12:07: EXTRACT: WARNING - Aperture 101: Dec 10 12:07: Total variance weighted spectrum flux is 10032.31 Dec 10 12:07: Total unweighted spectrum flux is 1724.631 Dec 10 12:07: EXTRACT: Aperture 101 variance spectrum bias factor is 0.1719076 Dec 10 12:07: EXTRACT: WARNING - Aperture 104: Dec 10 12:07: Total variance weighted spectrum flux is 20324.94 Dec 10 12:07: Total unweighted spectrum flux is 8198.093 Dec 10 12:07: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4033514 Dec 10 12:07: EXTRACT: WARNING - Aperture 105: Dec 10 12:07: Total variance weighted spectrum flux is 12115.68 Dec 10 12:07: Total unweighted spectrum flux is 4226.296 Dec 10 12:07: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3488286 Dec 10 12:07: EXTRACT: WARNING - Aperture 106: Dec 10 12:07: Total variance weighted spectrum flux is 6280.89 Dec 10 12:07: Total unweighted spectrum flux is 1545.121 Dec 10 12:07: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2460035 Dec 10 12:07: EXTRACT: WARNING - Aperture 107: Dec 10 12:07: Total variance weighted spectrum flux is 20090.05 Dec 10 12:07: Total unweighted spectrum flux is 5255.098 Dec 10 12:07: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2615771 Dec 10 12:07: EXTRACT: WARNING - Aperture 108: Dec 10 12:07: Total variance weighted spectrum flux is 6963.017 Dec 10 12:07: Total unweighted spectrum flux is 2306.618 Dec 10 12:07: EXTRACT: Aperture 108 variance spectrum bias factor is 0.3312671 Dec 10 12:07: EXTRACT: WARNING - Aperture 109: Dec 10 12:07: Total variance weighted spectrum flux is 9382.173 Dec 10 12:07: Total unweighted spectrum flux is 2802.772 Dec 10 12:07: EXTRACT: Aperture 109 variance spectrum bias factor is 0.2987337 Dec 10 12:07: EXTRACT: WARNING - Aperture 110: Dec 10 12:07: Total variance weighted spectrum flux is 10259.29 Dec 10 12:07: Total unweighted spectrum flux is 3034.482 Dec 10 12:07: EXTRACT: Aperture 110 variance spectrum bias factor is 0.295779 Dec 10 12:07: EXTRACT: WARNING - Aperture 111: Dec 10 12:07: Total variance weighted spectrum flux is 7527.126 Dec 10 12:07: Total unweighted spectrum flux is 238.9882 Dec 10 12:07: EXTRACT: Aperture 111 variance spectrum bias factor is 0.03175025 Dec 10 12:07: EXTRACT: WARNING - Aperture 112: Dec 10 12:07: Total variance weighted spectrum flux is 14308.51 Dec 10 12:07: Total unweighted spectrum flux is 2640.249 Dec 10 12:07: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1845229 Dec 10 12:07: EXTRACT: WARNING - Aperture 113: Dec 10 12:07: Total variance weighted spectrum flux is 11802.32 Dec 10 12:07: Total unweighted spectrum flux is 106.7718 Dec 10 12:07: EXTRACT: Aperture 113 variance spectrum bias factor is 0.009046678 Dec 10 12:07: EXTRACT: WARNING - Aperture 114: Dec 10 12:07: Total variance weighted spectrum flux is 4274.363 Dec 10 12:07: Total unweighted spectrum flux is -41.24905 Dec 10 12:07: Variance spectrum bias factor ignored Dec 10 12:07: EXTRACT: WARNING - Aperture 115: Dec 10 12:07: Total variance weighted spectrum flux is 3040.473 Dec 10 12:07: Total unweighted spectrum flux is -916.619 Dec 10 12:07: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 20130512.0021 Magnify image 20130512.0021 to image 20130512.0021. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 20130512.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0021 -> noscat20130512.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:08: EXTRACT: WARNING - Aperture 1: Dec 10 12:08: Total variance weighted spectrum flux is 8393.781 Dec 10 12:08: Total unweighted spectrum flux is 1821.4 Dec 10 12:08: EXTRACT: Aperture 1 variance spectrum bias factor is 0.216994 Dec 10 12:08: EXTRACT: WARNING - Aperture 92: Dec 10 12:08: Total variance weighted spectrum flux is 19371.45 Dec 10 12:08: Total unweighted spectrum flux is 7316.859 Dec 10 12:08: EXTRACT: Aperture 92 variance spectrum bias factor is 0.3777135 Dec 10 12:08: EXTRACT: WARNING - Aperture 93: Dec 10 12:08: Total variance weighted spectrum flux is 15241.37 Dec 10 12:08: Total unweighted spectrum flux is 4522.662 Dec 10 12:08: EXTRACT: Aperture 93 variance spectrum bias factor is 0.2967359 Dec 10 12:08: EXTRACT: WARNING - Aperture 94: Dec 10 12:08: Total variance weighted spectrum flux is 14560.06 Dec 10 12:08: Total unweighted spectrum flux is 2891.794 Dec 10 12:08: EXTRACT: Aperture 94 variance spectrum bias factor is 0.1986114 Dec 10 12:09: EXTRACT: WARNING - Aperture 95: Dec 10 12:09: Total variance weighted spectrum flux is 12195.29 Dec 10 12:09: Total unweighted spectrum flux is 4521.852 Dec 10 12:09: EXTRACT: Aperture 95 variance spectrum bias factor is 0.3707869 Dec 10 12:09: EXTRACT: WARNING - Aperture 96: Dec 10 12:09: Total variance weighted spectrum flux is 12245.26 Dec 10 12:09: Total unweighted spectrum flux is 4393.332 Dec 10 12:09: EXTRACT: Aperture 96 variance spectrum bias factor is 0.3587781 Dec 10 12:09: EXTRACT: WARNING - Aperture 97: Dec 10 12:09: Total variance weighted spectrum flux is 8672.374 Dec 10 12:09: Total unweighted spectrum flux is 3613.602 Dec 10 12:09: EXTRACT: Aperture 97 variance spectrum bias factor is 0.4166796 Dec 10 12:09: EXTRACT: WARNING - Aperture 98: Dec 10 12:09: Total variance weighted spectrum flux is 11814.07 Dec 10 12:09: Total unweighted spectrum flux is 4926.518 Dec 10 12:09: EXTRACT: Aperture 98 variance spectrum bias factor is 0.4170042 Dec 10 12:09: EXTRACT: WARNING - Aperture 99: Dec 10 12:09: Total variance weighted spectrum flux is 14483.96 Dec 10 12:09: Total unweighted spectrum flux is 3150.074 Dec 10 12:09: EXTRACT: Aperture 99 variance spectrum bias factor is 0.2174872 Dec 10 12:09: EXTRACT: WARNING - Aperture 100: Dec 10 12:09: Total variance weighted spectrum flux is 10939.56 Dec 10 12:09: Total unweighted spectrum flux is 2120.455 Dec 10 12:09: EXTRACT: Aperture 100 variance spectrum bias factor is 0.1938336 Dec 10 12:09: EXTRACT: WARNING - Aperture 101: Dec 10 12:09: Total variance weighted spectrum flux is 14595.67 Dec 10 12:09: Total unweighted spectrum flux is 2957.744 Dec 10 12:09: EXTRACT: Aperture 101 variance spectrum bias factor is 0.2026454 Dec 10 12:09: EXTRACT: WARNING - Aperture 102: Dec 10 12:09: Total variance weighted spectrum flux is 8783.49 Dec 10 12:09: Total unweighted spectrum flux is 3346.348 Dec 10 12:09: EXTRACT: Aperture 102 variance spectrum bias factor is 0.3809816 Dec 10 12:09: EXTRACT: WARNING - Aperture 103: Dec 10 12:09: Total variance weighted spectrum flux is 6445.907 Dec 10 12:09: Total unweighted spectrum flux is 1408.512 Dec 10 12:09: EXTRACT: Aperture 103 variance spectrum bias factor is 0.2185127 Dec 10 12:09: EXTRACT: WARNING - Aperture 104: Dec 10 12:09: Total variance weighted spectrum flux is 5998.643 Dec 10 12:09: Total unweighted spectrum flux is 282.6391 Dec 10 12:09: EXTRACT: Aperture 104 variance spectrum bias factor is 0.04711717 Dec 10 12:09: EXTRACT: WARNING - Aperture 105: Dec 10 12:09: Total variance weighted spectrum flux is 25052.21 Dec 10 12:09: Total unweighted spectrum flux is 1716.662 Dec 10 12:09: EXTRACT: Aperture 105 variance spectrum bias factor is 0.06852335 Dec 10 12:09: EXTRACT: WARNING - Aperture 106: Dec 10 12:09: Total variance weighted spectrum flux is 10381.83 Dec 10 12:09: Total unweighted spectrum flux is 2177.366 Dec 10 12:09: EXTRACT: Aperture 106 variance spectrum bias factor is 0.2097286 Dec 10 12:09: EXTRACT: WARNING - Aperture 107: Dec 10 12:09: Total variance weighted spectrum flux is 20527.12 Dec 10 12:09: Total unweighted spectrum flux is 90.53466 Dec 10 12:09: EXTRACT: Aperture 107 variance spectrum bias factor is 0.00441049 Dec 10 12:09: EXTRACT: WARNING - Aperture 108: Dec 10 12:09: Total variance weighted spectrum flux is 12514.28 Dec 10 12:09: Total unweighted spectrum flux is 561.5155 Dec 10 12:09: EXTRACT: Aperture 108 variance spectrum bias factor is 0.04486999 Dec 10 12:09: EXTRACT: WARNING - Aperture 109: Dec 10 12:09: Total variance weighted spectrum flux is 5703.42 Dec 10 12:09: Total unweighted spectrum flux is 715.177 Dec 10 12:09: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1253944 Dec 10 12:09: EXTRACT: WARNING - Aperture 110: Dec 10 12:09: Total variance weighted spectrum flux is 9936.165 Dec 10 12:09: Total unweighted spectrum flux is -1207.877 Dec 10 12:09: Variance spectrum bias factor ignored Dec 10 12:09: EXTRACT: WARNING - Aperture 111: Dec 10 12:09: Total variance weighted spectrum flux is 9851.685 Dec 10 12:09: Total unweighted spectrum flux is 1370.378 Dec 10 12:09: EXTRACT: Aperture 111 variance spectrum bias factor is 0.1391009 Dec 10 12:09: EXTRACT: WARNING - Aperture 112: Dec 10 12:09: Total variance weighted spectrum flux is 18298.24 Dec 10 12:09: Total unweighted spectrum flux is 3627.572 Dec 10 12:09: EXTRACT: Aperture 112 variance spectrum bias factor is 0.198247 Dec 10 12:09: EXTRACT: WARNING - Aperture 113: Dec 10 12:09: Total variance weighted spectrum flux is 4046.285 Dec 10 12:09: Total unweighted spectrum flux is -500.3394 Dec 10 12:09: Variance spectrum bias factor ignored Dec 10 12:09: EXTRACT: WARNING - Aperture 114: Dec 10 12:09: Total variance weighted spectrum flux is 3116.288 Dec 10 12:09: Total unweighted spectrum flux is -2162.049 Dec 10 12:09: Variance spectrum bias factor ignored Dec 10 12:09: EXTRACT: WARNING - Aperture 115: Dec 10 12:09: Total variance weighted spectrum flux is 3690.712 Dec 10 12:09: Total unweighted spectrum flux is 1286.444 Dec 10 12:09: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3485626 Resampling the object by a factor of 4 in the y direction... 20130512.0022 Magnify image 20130512.0022 to image 20130512.0022. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 20130512.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0022 -> noscat20130512.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 20130512.0023 Magnify image 20130512.0023 to image 20130512.0023. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 20130512.0023,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0023 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0023 -> noscat20130512.0023 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:11: EXTRACT: WARNING - Aperture 1: Dec 10 12:11: Total variance weighted spectrum flux is 13757.21 Dec 10 12:11: Total unweighted spectrum flux is 5436.052 Dec 10 12:11: EXTRACT: Aperture 1 variance spectrum bias factor is 0.3951419 Dec 10 12:12: EXTRACT: WARNING - Aperture 97: Dec 10 12:12: Total variance weighted spectrum flux is 7255.2 Dec 10 12:12: Total unweighted spectrum flux is 2499.304 Dec 10 12:12: EXTRACT: Aperture 97 variance spectrum bias factor is 0.3444845 Dec 10 12:12: EXTRACT: WARNING - Aperture 105: Dec 10 12:12: Total variance weighted spectrum flux is 13932.54 Dec 10 12:12: Total unweighted spectrum flux is 2190.144 Dec 10 12:12: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1571963 Dec 10 12:12: EXTRACT: WARNING - Aperture 106: Dec 10 12:12: Total variance weighted spectrum flux is 8011.739 Dec 10 12:12: Total unweighted spectrum flux is 209.007 Dec 10 12:12: EXTRACT: Aperture 106 variance spectrum bias factor is 0.0260876 Dec 10 12:12: EXTRACT: WARNING - Aperture 107: Dec 10 12:12: Total variance weighted spectrum flux is 7548.962 Dec 10 12:12: Total unweighted spectrum flux is 2648.727 Dec 10 12:12: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3508729 Dec 10 12:12: EXTRACT: WARNING - Aperture 108: Dec 10 12:12: Total variance weighted spectrum flux is 14631.5 Dec 10 12:12: Total unweighted spectrum flux is 5916.925 Dec 10 12:12: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4043964 Dec 10 12:12: EXTRACT: WARNING - Aperture 109: Dec 10 12:12: Total variance weighted spectrum flux is 9436.871 Dec 10 12:12: Total unweighted spectrum flux is 2867.51 Dec 10 12:12: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3038624 Dec 10 12:12: EXTRACT: WARNING - Aperture 110: Dec 10 12:12: Total variance weighted spectrum flux is 22675.91 Dec 10 12:12: Total unweighted spectrum flux is 5635.149 Dec 10 12:12: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2485082 Dec 10 12:12: EXTRACT: WARNING - Aperture 111: Dec 10 12:12: Total variance weighted spectrum flux is 6984.191 Dec 10 12:12: Total unweighted spectrum flux is 2261.041 Dec 10 12:12: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3237369 Dec 10 12:12: EXTRACT: WARNING - Aperture 112: Dec 10 12:12: Total variance weighted spectrum flux is 7916.04 Dec 10 12:12: Total unweighted spectrum flux is 1530.156 Dec 10 12:12: EXTRACT: Aperture 112 variance spectrum bias factor is 0.1932982 Dec 10 12:12: EXTRACT: WARNING - Aperture 113: Dec 10 12:12: Total variance weighted spectrum flux is 8522.114 Dec 10 12:12: Total unweighted spectrum flux is 1347.948 Dec 10 12:12: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1581707 Dec 10 12:12: EXTRACT: WARNING - Aperture 114: Dec 10 12:12: Total variance weighted spectrum flux is 4963.185 Dec 10 12:12: Total unweighted spectrum flux is 1083.044 Dec 10 12:12: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2182155 Dec 10 12:12: EXTRACT: WARNING - Aperture 115: Dec 10 12:12: Total variance weighted spectrum flux is 901.5004 Dec 10 12:12: Total unweighted spectrum flux is -1201.418 Dec 10 12:12: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 20130512.0024 Magnify image 20130512.0024 to image 20130512.0024. 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 20130512.0024,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0024 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0024 -> noscat20130512.0024 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:14: EXTRACT: WARNING - Aperture 106: Dec 10 12:14: Total variance weighted spectrum flux is 7402.835 Dec 10 12:14: Total unweighted spectrum flux is 3202.756 Dec 10 12:14: EXTRACT: Aperture 106 variance spectrum bias factor is 0.4326391 Dec 10 12:14: EXTRACT: WARNING - Aperture 107: Dec 10 12:14: Total variance weighted spectrum flux is 13258.36 Dec 10 12:14: Total unweighted spectrum flux is 5873.982 Dec 10 12:14: EXTRACT: Aperture 107 variance spectrum bias factor is 0.4430399 Dec 10 12:14: EXTRACT: WARNING - Aperture 109: Dec 10 12:14: Total variance weighted spectrum flux is 14360.98 Dec 10 12:14: Total unweighted spectrum flux is 6808.472 Dec 10 12:14: EXTRACT: Aperture 109 variance spectrum bias factor is 0.4740953 Dec 10 12:14: EXTRACT: WARNING - Aperture 110: Dec 10 12:14: Total variance weighted spectrum flux is 10962.88 Dec 10 12:14: Total unweighted spectrum flux is 4764.894 Dec 10 12:14: EXTRACT: Aperture 110 variance spectrum bias factor is 0.4346386 Dec 10 12:14: EXTRACT: WARNING - Aperture 111: Dec 10 12:14: Total variance weighted spectrum flux is 13388.66 Dec 10 12:14: Total unweighted spectrum flux is 6190.841 Dec 10 12:14: EXTRACT: Aperture 111 variance spectrum bias factor is 0.4623942 Dec 10 12:14: EXTRACT: WARNING - Aperture 112: Dec 10 12:14: Total variance weighted spectrum flux is 13050.85 Dec 10 12:14: Total unweighted spectrum flux is 5170.347 Dec 10 12:14: EXTRACT: Aperture 112 variance spectrum bias factor is 0.3961694 Dec 10 12:14: EXTRACT: WARNING - Aperture 113: Dec 10 12:14: Total variance weighted spectrum flux is 5819.528 Dec 10 12:14: Total unweighted spectrum flux is 272.774 Dec 10 12:14: EXTRACT: Aperture 113 variance spectrum bias factor is 0.04687218 Dec 10 12:14: EXTRACT: WARNING - Aperture 114: Dec 10 12:14: Total variance weighted spectrum flux is 5341.565 Dec 10 12:14: Total unweighted spectrum flux is 1370.433 Dec 10 12:14: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2565601 Dec 10 12:14: EXTRACT: WARNING - Aperture 115: Dec 10 12:14: Total variance weighted spectrum flux is 4896.826 Dec 10 12:14: Total unweighted spectrum flux is 1353.91 Dec 10 12:14: EXTRACT: Aperture 115 variance spectrum bias factor is 0.2764872 Resampling the object by a factor of 4 in the y direction... 20130512.0025 Magnify image 20130512.0025 to image 20130512.0025. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 20130512.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0025 -> noscat20130512.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:16: EXTRACT: WARNING - Aperture 104: Dec 10 12:16: Total variance weighted spectrum flux is 13426.91 Dec 10 12:16: Total unweighted spectrum flux is 6545.307 Dec 10 12:16: EXTRACT: Aperture 104 variance spectrum bias factor is 0.4874766 Dec 10 12:16: EXTRACT: WARNING - Aperture 105: Dec 10 12:16: Total variance weighted spectrum flux is 16440.62 Dec 10 12:16: Total unweighted spectrum flux is 6227.345 Dec 10 12:16: EXTRACT: Aperture 105 variance spectrum bias factor is 0.378778 Dec 10 12:16: EXTRACT: WARNING - Aperture 106: Dec 10 12:16: Total variance weighted spectrum flux is 17577.93 Dec 10 12:16: Total unweighted spectrum flux is 5659.028 Dec 10 12:16: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3219395 Dec 10 12:16: EXTRACT: WARNING - Aperture 107: Dec 10 12:16: Total variance weighted spectrum flux is 15314.24 Dec 10 12:16: Total unweighted spectrum flux is 4263.091 Dec 10 12:16: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2783743 Dec 10 12:16: EXTRACT: WARNING - Aperture 108: Dec 10 12:16: Total variance weighted spectrum flux is 7796.962 Dec 10 12:16: Total unweighted spectrum flux is 3775.033 Dec 10 12:16: EXTRACT: Aperture 108 variance spectrum bias factor is 0.4841671 Dec 10 12:16: EXTRACT: WARNING - Aperture 109: Dec 10 12:16: Total variance weighted spectrum flux is 11438.62 Dec 10 12:16: Total unweighted spectrum flux is 1716.759 Dec 10 12:16: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1500845 Dec 10 12:16: EXTRACT: WARNING - Aperture 110: Dec 10 12:16: Total variance weighted spectrum flux is 16994.9 Dec 10 12:16: Total unweighted spectrum flux is 4877.256 Dec 10 12:16: EXTRACT: Aperture 110 variance spectrum bias factor is 0.2869835 Dec 10 12:16: EXTRACT: WARNING - Aperture 111: Dec 10 12:16: Total variance weighted spectrum flux is 7101.881 Dec 10 12:16: Total unweighted spectrum flux is 2411.438 Dec 10 12:16: EXTRACT: Aperture 111 variance spectrum bias factor is 0.3395492 Dec 10 12:16: EXTRACT: WARNING - Aperture 112: Dec 10 12:16: Total variance weighted spectrum flux is 12098.72 Dec 10 12:16: Total unweighted spectrum flux is 2489.447 Dec 10 12:16: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2057612 Dec 10 12:16: EXTRACT: WARNING - Aperture 113: Dec 10 12:16: Total variance weighted spectrum flux is 4415.665 Dec 10 12:16: Total unweighted spectrum flux is 1426.986 Dec 10 12:16: EXTRACT: Aperture 113 variance spectrum bias factor is 0.3231645 Dec 10 12:16: EXTRACT: WARNING - Aperture 114: Dec 10 12:16: Total variance weighted spectrum flux is 2687.753 Dec 10 12:16: Total unweighted spectrum flux is 794.7344 Dec 10 12:16: EXTRACT: Aperture 114 variance spectrum bias factor is 0.2956873 Resampling the object by a factor of 4 in the y direction... 20130512.0026 Magnify image 20130512.0026 to image 20130512.0026. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 20130512.0026,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0026 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0026 -> noscat20130512.0026 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:18: EXTRACT: WARNING - Aperture 105: Dec 10 12:18: Total variance weighted spectrum flux is 23880.82 Dec 10 12:18: Total unweighted spectrum flux is 9165.123 Dec 10 12:18: EXTRACT: Aperture 105 variance spectrum bias factor is 0.3837859 Dec 10 12:18: EXTRACT: WARNING - Aperture 106: Dec 10 12:18: Total variance weighted spectrum flux is 9761.431 Dec 10 12:18: Total unweighted spectrum flux is 1516.149 Dec 10 12:18: EXTRACT: Aperture 106 variance spectrum bias factor is 0.1553204 Dec 10 12:18: EXTRACT: WARNING - Aperture 107: Dec 10 12:18: Total variance weighted spectrum flux is 11169.68 Dec 10 12:18: Total unweighted spectrum flux is 2857.635 Dec 10 12:18: EXTRACT: Aperture 107 variance spectrum bias factor is 0.2558387 Dec 10 12:18: EXTRACT: WARNING - Aperture 108: Dec 10 12:18: Total variance weighted spectrum flux is 8580.116 Dec 10 12:18: Total unweighted spectrum flux is 4147.414 Dec 10 12:18: EXTRACT: Aperture 108 variance spectrum bias factor is 0.483375 Dec 10 12:18: EXTRACT: WARNING - Aperture 109: Dec 10 12:18: Total variance weighted spectrum flux is 14826.4 Dec 10 12:18: Total unweighted spectrum flux is 5223.612 Dec 10 12:18: EXTRACT: Aperture 109 variance spectrum bias factor is 0.3523183 Dec 10 12:18: EXTRACT: WARNING - Aperture 110: Dec 10 12:18: Total variance weighted spectrum flux is 13009.1 Dec 10 12:18: Total unweighted spectrum flux is 2475.761 Dec 10 12:18: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1903099 Dec 10 12:18: EXTRACT: WARNING - Aperture 111: Dec 10 12:18: Total variance weighted spectrum flux is 4936.332 Dec 10 12:18: Total unweighted spectrum flux is -1157.973 Dec 10 12:18: Variance spectrum bias factor ignored Dec 10 12:18: EXTRACT: WARNING - Aperture 112: Dec 10 12:18: Total variance weighted spectrum flux is 11500.46 Dec 10 12:18: Total unweighted spectrum flux is 2404.032 Dec 10 12:18: EXTRACT: Aperture 112 variance spectrum bias factor is 0.2090378 Dec 10 12:18: EXTRACT: WARNING - Aperture 113: Dec 10 12:18: Total variance weighted spectrum flux is 7007.819 Dec 10 12:18: Total unweighted spectrum flux is 1236.607 Dec 10 12:18: EXTRACT: Aperture 113 variance spectrum bias factor is 0.176461 Dec 10 12:18: EXTRACT: WARNING - Aperture 114: Dec 10 12:18: Total variance weighted spectrum flux is 4873.999 Dec 10 12:18: Total unweighted spectrum flux is -743.8146 Dec 10 12:18: Variance spectrum bias factor ignored Dec 10 12:18: EXTRACT: WARNING - Aperture 115: Dec 10 12:18: Total variance weighted spectrum flux is 2652.381 Dec 10 12:18: Total unweighted spectrum flux is -758.6992 Dec 10 12:18: Variance spectrum bias factor ignored Resampling the object by a factor of 4 in the y direction... 20130512.0027 Magnify image 20130512.0027 to image 20130512.0027. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 20130512.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0027 -> noscat20130512.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:19: EXTRACT: WARNING - Aperture 1: Dec 10 12:19: Total variance weighted spectrum flux is 9908.549 Dec 10 12:19: Total unweighted spectrum flux is 4060.957 Dec 10 12:19: EXTRACT: Aperture 1 variance spectrum bias factor is 0.4098438 Dec 10 12:20: EXTRACT: WARNING - Aperture 94: Dec 10 12:20: Total variance weighted spectrum flux is 8714.461 Dec 10 12:20: Total unweighted spectrum flux is 3819.217 Dec 10 12:20: EXTRACT: Aperture 94 variance spectrum bias factor is 0.438262 Dec 10 12:20: EXTRACT: WARNING - Aperture 95: Dec 10 12:20: Total variance weighted spectrum flux is 13777.84 Dec 10 12:20: Total unweighted spectrum flux is 6740.258 Dec 10 12:20: EXTRACT: Aperture 95 variance spectrum bias factor is 0.4892099 Dec 10 12:20: EXTRACT: WARNING - Aperture 96: Dec 10 12:20: Total variance weighted spectrum flux is 5082.704 Dec 10 12:20: Total unweighted spectrum flux is -1353.284 Dec 10 12:20: Variance spectrum bias factor ignored Dec 10 12:20: EXTRACT: WARNING - Aperture 98: Dec 10 12:20: Total variance weighted spectrum flux is 16291.41 Dec 10 12:20: Total unweighted spectrum flux is 5639.794 Dec 10 12:20: EXTRACT: Aperture 98 variance spectrum bias factor is 0.3461821 Dec 10 12:20: EXTRACT: WARNING - Aperture 99: Dec 10 12:20: Total variance weighted spectrum flux is 11636.83 Dec 10 12:20: Total unweighted spectrum flux is 3738.659 Dec 10 12:20: EXTRACT: Aperture 99 variance spectrum bias factor is 0.3212782 Dec 10 12:20: EXTRACT: WARNING - Aperture 100: Dec 10 12:20: Total variance weighted spectrum flux is 20930.1 Dec 10 12:20: Total unweighted spectrum flux is 7388.39 Dec 10 12:20: EXTRACT: Aperture 100 variance spectrum bias factor is 0.3530032 Dec 10 12:20: EXTRACT: WARNING - Aperture 101: Dec 10 12:20: Total variance weighted spectrum flux is 17633.61 Dec 10 12:20: Total unweighted spectrum flux is 1541.743 Dec 10 12:20: EXTRACT: Aperture 101 variance spectrum bias factor is 0.0874321 Dec 10 12:20: EXTRACT: WARNING - Aperture 102: Dec 10 12:20: Total variance weighted spectrum flux is 20371.87 Dec 10 12:20: Total unweighted spectrum flux is 9639.533 Dec 10 12:20: EXTRACT: Aperture 102 variance spectrum bias factor is 0.4731785 Dec 10 12:20: EXTRACT: WARNING - Aperture 104: Dec 10 12:20: Total variance weighted spectrum flux is 10462.3 Dec 10 12:20: Total unweighted spectrum flux is 2138.794 Dec 10 12:20: EXTRACT: Aperture 104 variance spectrum bias factor is 0.2044287 Dec 10 12:20: EXTRACT: WARNING - Aperture 105: Dec 10 12:20: Total variance weighted spectrum flux is 14726.42 Dec 10 12:20: Total unweighted spectrum flux is 1986.788 Dec 10 12:20: EXTRACT: Aperture 105 variance spectrum bias factor is 0.1349132 Dec 10 12:20: EXTRACT: WARNING - Aperture 106: Dec 10 12:20: Total variance weighted spectrum flux is 9761.406 Dec 10 12:20: Total unweighted spectrum flux is 3158.691 Dec 10 12:20: EXTRACT: Aperture 106 variance spectrum bias factor is 0.3235898 Dec 10 12:20: EXTRACT: WARNING - Aperture 107: Dec 10 12:20: Total variance weighted spectrum flux is 4414.616 Dec 10 12:20: Total unweighted spectrum flux is 1452.836 Dec 10 12:20: EXTRACT: Aperture 107 variance spectrum bias factor is 0.3290967 Dec 10 12:20: EXTRACT: WARNING - Aperture 108: Dec 10 12:20: Total variance weighted spectrum flux is 22311.95 Dec 10 12:20: Total unweighted spectrum flux is 6386.04 Dec 10 12:20: EXTRACT: Aperture 108 variance spectrum bias factor is 0.2862161 Dec 10 12:20: EXTRACT: WARNING - Aperture 109: Dec 10 12:20: Total variance weighted spectrum flux is 6251.061 Dec 10 12:20: Total unweighted spectrum flux is 993.6135 Dec 10 12:20: EXTRACT: Aperture 109 variance spectrum bias factor is 0.1589512 Dec 10 12:20: EXTRACT: WARNING - Aperture 110: Dec 10 12:20: Total variance weighted spectrum flux is 13082.54 Dec 10 12:20: Total unweighted spectrum flux is 2443.596 Dec 10 12:20: EXTRACT: Aperture 110 variance spectrum bias factor is 0.1867831 Dec 10 12:20: EXTRACT: WARNING - Aperture 111: Dec 10 12:20: Total variance weighted spectrum flux is 3329.857 Dec 10 12:20: Total unweighted spectrum flux is -947.6435 Dec 10 12:20: Variance spectrum bias factor ignored Dec 10 12:20: EXTRACT: WARNING - Aperture 112: Dec 10 12:20: Total variance weighted spectrum flux is 15259.01 Dec 10 12:20: Total unweighted spectrum flux is -663.3077 Dec 10 12:20: Variance spectrum bias factor ignored Dec 10 12:20: EXTRACT: WARNING - Aperture 113: Dec 10 12:20: Total variance weighted spectrum flux is 4559.65 Dec 10 12:20: Total unweighted spectrum flux is 685.1318 Dec 10 12:20: EXTRACT: Aperture 113 variance spectrum bias factor is 0.1502597 Dec 10 12:20: EXTRACT: WARNING - Aperture 114: Dec 10 12:20: Total variance weighted spectrum flux is 5779.914 Dec 10 12:20: Total unweighted spectrum flux is 786.575 Dec 10 12:20: EXTRACT: Aperture 114 variance spectrum bias factor is 0.1360877 Dec 10 12:20: EXTRACT: WARNING - Aperture 115: Dec 10 12:20: Total variance weighted spectrum flux is 4442.789 Dec 10 12:20: Total unweighted spectrum flux is 748.9691 Dec 10 12:20: EXTRACT: Aperture 115 variance spectrum bias factor is 0.1685809 Resampling the object by a factor of 4 in the y direction... 20130512.0028 Magnify image 20130512.0028 to image 20130512.0028. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 20130512.0028,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0028 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0028 -> noscat20130512.0028 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 12:22: EXTRACT: WARNING - Aperture 114: Dec 10 12:22: Total variance weighted spectrum flux is 12910.35 Dec 10 12:22: Total unweighted spectrum flux is 6031.184 Dec 10 12:22: EXTRACT: Aperture 114 variance spectrum bias factor is 0.4671587 Dec 10 12:22: EXTRACT: WARNING - Aperture 115: Dec 10 12:22: Total variance weighted spectrum flux is 5221.025 Dec 10 12:22: Total unweighted spectrum flux is 1616.343 Dec 10 12:22: EXTRACT: Aperture 115 variance spectrum bias factor is 0.3095834 Resampling the object by a factor of 4 in the y direction... 20130512.0029 Magnify image 20130512.0029 to image 20130512.0029. 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 20130512.0029,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0029 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0029 -> noscat20130512.0029 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 20130512.0030 Magnify image 20130512.0030 to image 20130512.0030. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 20130512.0030,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 20130512.0030 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 20130512.0030 -> noscat20130512.0030 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add ThAr.0001.ec.fits,REFSPEC1 = ThAr.0001.ec.fits ThAr.0001.ec.fits updated add ThAr.0002.ec.fits,REFSPEC1 = ThAr.0002.ec.fits ThAr.0002.ec.fits updated Flatfielding extracted arcs and object spectra... parameter ThAr.0001.ec.fits,UTMIDDLE already exists ThAr.0001.ec.fits updated ThAr.0001.ec.fits,UTMIDDLE: 05:53:46.933 -> 05:54:20.933213 ThAr.0001.ec.fits updated parameter ThAr.0002.ec.fits,UTMIDDLE already exists ThAr.0002.ec.fits updated ThAr.0002.ec.fits,UTMIDDLE: 05:56:49.049 -> 05:57:23.049221 ThAr.0002.ec.fits updated parameter 20130512.0019.ec.fits,UTMIDDLE already exists 20130512.0019.ec.fits updated 20130512.0019.ec.fits,UTMIDDLE: 07:34:49.188 -> 07:35:23.187977 20130512.0019.ec.fits updated parameter 20130512.0020.ec.fits,UTMIDDLE already exists 20130512.0020.ec.fits updated 20130512.0020.ec.fits,UTMIDDLE: 07:56:38.587 -> 07:57:12.586977 20130512.0020.ec.fits updated parameter 20130512.0021.ec.fits,UTMIDDLE already exists 20130512.0021.ec.fits updated 20130512.0021.ec.fits,UTMIDDLE: 08:21:51.747 -> 08:22:25.747193 20130512.0021.ec.fits updated parameter 20130512.0022.ec.fits,UTMIDDLE already exists 20130512.0022.ec.fits updated 20130512.0022.ec.fits,UTMIDDLE: 08:42:55.872 -> 08:43:29.871400 20130512.0022.ec.fits updated parameter 20130512.0023.ec.fits,UTMIDDLE already exists 20130512.0023.ec.fits updated 20130512.0023.ec.fits,UTMIDDLE: 09:03:56.397 -> 09:04:30.396858 20130512.0023.ec.fits updated parameter 20130512.0024.ec.fits,UTMIDDLE already exists 20130512.0024.ec.fits updated 20130512.0024.ec.fits,UTMIDDLE: 09:21:31.858 -> 09:22:05.857894 20130512.0024.ec.fits updated parameter 20130512.0025.ec.fits,UTMIDDLE already exists 20130512.0025.ec.fits updated 20130512.0025.ec.fits,UTMIDDLE: 09:39:05.454 -> 09:39:39.453887 20130512.0025.ec.fits updated parameter 20130512.0026.ec.fits,UTMIDDLE already exists 20130512.0026.ec.fits updated 20130512.0026.ec.fits,UTMIDDLE: 09:59:18.219 -> 09:59:52.219034 20130512.0026.ec.fits updated parameter 20130512.0027.ec.fits,UTMIDDLE already exists 20130512.0027.ec.fits updated 20130512.0027.ec.fits,UTMIDDLE: 10:24:24.237 -> 10:24:58.236730 20130512.0027.ec.fits updated parameter 20130512.0028.ec.fits,UTMIDDLE already exists 20130512.0028.ec.fits updated 20130512.0028.ec.fits,UTMIDDLE: 10:47:08.474 -> 10:47:42.474926 20130512.0028.ec.fits updated parameter 20130512.0029.ec.fits,UTMIDDLE already exists 20130512.0029.ec.fits updated 20130512.0029.ec.fits,UTMIDDLE: 11:04:47.846 -> 11:05:21.845929 20130512.0029.ec.fits updated parameter 20130512.0030.ec.fits,UTMIDDLE already exists 20130512.0030.ec.fits updated 20130512.0030.ec.fits,UTMIDDLE: 11:22:22.383 -> 11:22:56.382925 20130512.0030.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 20130512.0019.ec.fits 2456424.81624 2456424.81693 2456424 20130512.0020.ec.fits 2456424.83140 2456424.83208 2456424 20130512.0021.ec.fits 2456424.84891 2456424.84953 2456424 20130512.0022.ec.fits 2456424.86354 2456424.86410 2456424 20130512.0023.ec.fits 2456424.87813 2456424.87835 2456424 20130512.0024.ec.fits 2456424.89035 2456424.89099 2456424 20130512.0025.ec.fits 2456424.90254 2456424.90312 2456424 20130512.0026.ec.fits 2456424.91658 2456424.91749 2456424 20130512.0027.ec.fits 2456424.93401 2456424.93484 2456424 20130512.0028.ec.fits 2456424.94980 2456424.95004 2456424 20130512.0029.ec.fits 2456424.96206 2456424.96206 2456424 20130512.0030.ec.fits 2456424.97426 2456424.97440 2456424 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 12:26:15 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS ThAr.0001.ec 1928/2055 1928/1928 -2.37 17.4 3.07E-5 0.0111 ThAr.0002.ec 1966/2055 1966/1966 -2.38 17.4 3.08E-5 0.0106 [20130512.0019.ec] refspec1='ThAr.0002.ec' [20130512.0020.ec] refspec1='ThAr.0002.ec' [20130512.0021.ec] refspec1='ThAr.0002.ec' [20130512.0022.ec] refspec1='ThAr.0002.ec' [20130512.0023.ec] refspec1='ThAr.0002.ec' [20130512.0024.ec] refspec1='ThAr.0002.ec' [20130512.0025.ec] refspec1='ThAr.0002.ec' [20130512.0026.ec] refspec1='ThAr.0002.ec' [20130512.0027.ec] refspec1='ThAr.0002.ec' [20130512.0028.ec] refspec1='ThAr.0002.ec' [20130512.0029.ec] refspec1='ThAr.0002.ec' [20130512.0030.ec] refspec1='ThAr.0002.ec' [ThAr.0001.ec] refspec1='ThAr.0001.ec' [ThAr.0002.ec] refspec1='ThAr.0002.ec' 20130512.0019.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0019.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0019.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0019.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0019.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0019.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0019.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0019.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0019.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0019.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0019.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0019.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0019.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0019.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0019.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0019.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0019.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0019.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0019.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0019.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0019.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0019.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0019.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0019.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0019.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0019.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0019.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0019.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0019.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0019.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0019.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0019.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0019.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0019.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0019.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0019.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0019.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0019.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0019.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0019.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0019.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0019.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0019.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0019.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0019.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0019.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0019.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0019.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0019.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0019.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0019.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0019.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0019.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0019.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0019.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0019.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0019.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0019.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0019.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0019.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0019.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0019.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0019.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0019.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0019.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0019.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0019.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0019.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0019.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0019.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0019.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0019.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0019.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0019.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0019.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0019.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0019.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0019.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0019.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0019.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0019.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0019.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0019.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0019.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0019.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0019.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0019.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0019.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0019.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0019.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0019.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0019.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0019.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0019.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0019.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0019.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0019.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0019.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0019.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0019.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0019.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0019.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0019.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0019.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0019.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0019.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0019.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0019.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0019.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0019.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0019.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0019.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0019.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0019.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0019.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0019.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0020.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0020.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0020.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0020.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0020.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0020.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0020.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0020.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0020.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0020.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0020.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0020.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0020.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0020.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0020.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0020.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0020.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0020.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0020.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0020.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0020.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0020.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0020.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0020.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0020.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0020.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0020.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0020.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0020.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0020.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0020.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0020.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0020.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0020.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0020.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0020.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0020.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0020.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0020.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0020.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0020.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0020.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0020.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0020.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0020.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0020.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0020.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0020.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0020.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0020.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0020.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0020.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0020.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0020.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0020.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0020.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0020.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0020.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0020.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0020.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0020.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0020.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0020.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0020.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0020.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0020.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0020.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0020.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0020.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0020.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0020.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0020.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0020.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0020.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0020.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0020.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0020.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0020.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0020.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0020.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0020.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0020.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0020.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0020.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0020.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0020.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0020.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0020.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0020.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0020.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0020.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0020.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0020.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0020.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0020.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0020.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0020.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0020.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0020.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0020.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0020.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0020.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0020.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0020.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0020.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0020.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0020.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0020.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0020.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0020.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0020.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0020.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0020.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0020.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0020.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0020.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0021.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0021.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0021.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0021.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0021.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0021.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0021.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0021.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0021.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0021.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0021.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0021.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0021.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0021.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0021.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0021.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0021.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0021.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0021.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0021.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0021.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0021.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0021.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0021.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0021.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0021.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0021.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0021.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0021.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0021.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0021.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0021.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0021.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0021.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0021.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0021.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0021.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0021.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0021.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0021.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0021.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0021.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0021.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0021.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0021.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0021.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0021.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0021.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0021.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0021.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0021.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0021.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0021.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0021.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0021.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0021.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0021.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0021.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0021.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0021.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0021.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0021.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0021.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0021.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0021.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0021.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0021.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0021.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0021.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0021.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0021.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0021.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0021.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0021.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0021.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0021.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0021.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0021.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0021.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0021.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0021.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0021.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0021.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0021.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0021.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0021.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0021.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0021.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0021.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0021.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0021.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0021.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0021.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0021.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0021.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0021.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0021.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0021.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0021.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0021.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0021.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0021.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0021.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0021.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0021.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0021.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0021.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0021.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0021.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0021.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0021.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0021.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0021.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0021.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0021.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0021.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0022.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0022.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0022.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0022.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0022.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0022.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0022.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0022.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0022.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0022.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0022.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0022.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0022.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0022.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0022.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0022.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0022.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0022.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0022.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0022.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0022.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0022.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0022.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0022.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0022.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0022.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0022.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0022.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0022.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0022.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0022.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0022.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0022.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0022.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0022.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0022.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0022.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0022.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0022.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0022.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0022.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0022.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0022.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0022.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0022.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0022.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0022.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0022.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0022.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0022.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0022.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0022.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0022.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0022.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0022.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0022.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0022.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0022.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0022.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0022.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0022.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0022.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0022.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0022.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0022.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0022.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0022.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0022.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0022.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0022.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0022.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0022.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0022.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0022.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0022.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0022.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0022.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0022.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0022.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0022.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0022.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0022.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0022.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0022.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0022.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0022.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0022.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0022.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0022.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0022.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0022.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0022.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0022.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0022.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0022.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0022.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0022.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0022.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0022.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0022.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0022.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0022.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0022.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0022.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0022.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0022.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0022.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0022.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0022.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0022.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0022.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0022.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0022.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0022.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0022.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0022.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0023.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0023.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0023.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0023.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0023.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0023.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0023.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0023.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0023.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0023.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0023.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0023.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0023.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0023.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0023.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0023.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0023.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0023.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0023.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0023.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0023.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0023.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0023.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0023.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0023.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0023.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0023.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0023.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0023.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0023.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0023.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0023.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0023.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0023.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0023.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0023.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0023.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0023.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0023.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0023.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0023.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0023.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0023.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0023.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0023.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0023.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0023.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0023.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0023.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0023.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0023.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0023.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0023.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0023.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0023.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0023.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0023.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0023.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0023.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0023.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0023.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0023.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0023.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0023.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0023.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0023.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0023.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0023.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0023.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0023.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0023.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0023.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0023.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0023.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0023.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0023.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0023.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0023.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0023.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0023.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0023.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0023.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0023.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0023.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0023.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0023.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0023.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0023.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0023.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0023.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0023.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0023.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0023.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0023.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0023.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0023.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0023.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0023.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0023.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0023.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0023.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0023.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0023.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0023.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0023.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0023.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0023.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0023.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0023.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0023.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0023.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0023.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0023.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0023.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0023.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0023.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0024.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0024.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0024.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0024.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0024.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0024.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0024.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0024.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0024.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0024.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0024.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0024.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0024.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0024.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0024.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0024.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0024.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0024.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0024.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0024.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0024.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0024.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0024.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0024.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0024.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0024.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0024.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0024.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0024.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0024.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0024.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0024.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0024.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0024.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0024.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0024.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0024.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0024.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0024.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0024.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0024.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0024.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0024.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0024.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0024.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0024.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0024.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0024.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0024.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0024.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0024.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0024.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0024.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0024.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0024.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0024.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0024.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0024.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0024.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0024.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0024.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0024.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0024.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0024.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0024.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0024.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0024.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0024.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0024.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0024.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0024.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0024.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0024.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0024.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0024.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0024.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0024.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0024.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0024.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0024.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0024.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0024.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0024.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0024.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0024.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0024.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0024.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0024.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0024.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0024.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0024.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0024.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0024.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0024.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0024.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0024.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0024.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0024.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0024.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0024.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0024.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0024.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0024.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0024.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0024.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0024.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0024.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0024.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0024.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0024.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0024.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0024.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0024.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0024.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0024.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0024.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0025.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0025.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0025.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0025.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0025.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0025.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0025.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0025.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0025.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0025.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0025.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0025.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0025.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0025.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0025.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0025.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0025.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0025.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0025.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0025.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0025.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0025.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0025.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0025.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0025.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0025.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0025.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0025.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0025.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0025.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0025.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0025.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0025.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0025.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0025.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0025.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0025.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0025.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0025.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0025.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0025.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0025.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0025.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0025.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0025.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0025.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0025.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0025.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0025.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0025.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0025.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0025.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0025.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0025.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0025.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0025.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0025.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0025.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0025.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0025.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0025.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0025.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0025.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0025.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0025.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0025.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0025.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0025.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0025.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0025.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0025.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0025.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0025.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0025.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0025.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0025.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0025.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0025.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0025.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0025.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0025.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0025.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0025.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0025.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0025.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0025.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0025.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0025.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0025.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0025.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0025.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0025.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0025.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0025.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0025.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0025.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0025.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0025.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0025.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0025.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0025.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0025.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0025.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0025.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0025.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0025.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0025.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0025.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0025.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0025.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0025.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0025.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0025.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0025.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0025.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0025.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0026.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0026.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0026.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0026.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0026.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0026.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0026.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0026.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0026.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0026.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0026.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0026.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0026.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0026.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0026.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0026.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0026.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0026.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0026.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0026.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0026.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0026.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0026.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0026.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0026.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0026.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0026.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0026.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0026.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0026.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0026.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0026.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0026.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0026.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0026.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0026.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0026.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0026.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0026.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0026.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0026.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0026.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0026.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0026.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0026.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0026.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0026.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0026.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0026.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0026.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0026.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0026.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0026.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0026.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0026.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0026.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0026.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0026.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0026.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0026.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0026.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0026.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0026.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0026.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0026.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0026.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0026.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0026.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0026.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0026.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0026.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0026.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0026.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0026.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0026.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0026.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0026.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0026.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0026.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0026.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0026.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0026.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0026.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0026.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0026.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0026.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0026.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0026.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0026.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0026.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0026.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0026.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0026.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0026.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0026.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0026.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0026.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0026.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0026.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0026.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0026.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0026.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0026.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0026.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0026.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0026.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0026.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0026.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0026.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0026.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0026.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0026.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0026.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0026.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0026.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0026.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0027.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0027.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0027.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0027.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0027.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0027.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0027.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0027.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0027.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0027.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0027.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0027.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0027.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0027.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0027.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0027.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0027.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0027.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0027.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0027.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0027.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0027.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0027.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0027.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0027.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0027.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0027.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0027.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0027.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0027.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0027.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0027.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0027.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0027.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0027.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0027.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0027.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0027.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0027.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0027.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0027.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0027.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0027.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0027.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0027.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0027.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0027.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0027.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0027.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0027.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0027.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0027.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0027.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0027.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0027.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0027.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0027.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0027.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0027.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0027.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0027.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0027.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0027.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0027.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0027.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0027.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0027.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0027.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0027.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0027.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0027.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0027.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0027.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0027.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0027.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0027.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0027.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0027.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0027.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0027.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0027.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0027.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0027.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0027.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0027.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0027.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0027.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0027.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0027.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0027.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0027.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0027.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0027.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0027.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0027.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0027.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0027.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0027.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0027.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0027.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0027.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0027.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0027.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0027.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0027.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0027.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0027.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0027.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0027.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0027.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0027.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0027.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0027.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0027.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0027.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0027.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0028.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0028.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0028.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0028.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0028.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0028.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0028.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0028.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0028.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0028.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0028.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0028.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0028.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0028.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0028.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0028.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0028.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0028.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0028.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0028.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0028.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0028.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0028.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0028.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0028.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0028.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0028.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0028.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0028.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0028.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0028.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0028.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0028.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0028.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0028.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0028.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0028.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0028.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0028.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0028.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0028.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0028.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0028.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0028.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0028.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0028.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0028.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0028.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0028.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0028.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0028.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0028.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0028.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0028.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0028.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0028.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0028.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0028.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0028.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0028.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0028.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0028.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0028.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0028.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0028.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0028.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0028.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0028.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0028.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0028.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0028.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0028.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0028.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0028.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0028.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0028.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0028.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0028.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0028.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0028.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0028.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0028.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0028.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0028.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0028.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0028.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0028.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0028.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0028.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0028.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0028.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0028.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0028.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0028.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0028.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0028.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0028.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0028.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0028.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0028.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0028.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0028.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0028.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0028.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0028.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0028.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0028.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0028.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0028.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0028.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0028.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0028.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0028.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0028.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0028.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0028.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0029.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0029.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0029.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0029.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0029.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0029.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0029.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0029.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0029.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0029.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0029.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0029.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0029.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0029.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0029.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0029.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0029.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0029.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0029.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0029.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0029.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0029.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0029.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0029.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0029.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0029.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0029.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0029.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0029.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0029.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0029.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0029.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0029.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0029.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0029.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0029.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0029.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0029.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0029.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0029.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0029.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0029.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0029.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0029.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0029.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0029.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0029.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0029.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0029.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0029.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0029.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0029.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0029.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0029.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0029.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0029.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0029.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0029.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0029.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0029.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0029.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0029.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0029.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0029.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0029.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0029.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0029.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0029.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0029.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0029.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0029.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0029.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0029.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0029.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0029.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0029.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0029.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0029.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0029.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0029.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0029.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0029.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0029.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0029.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0029.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0029.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0029.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0029.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0029.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0029.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0029.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0029.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0029.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0029.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0029.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0029.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0029.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0029.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0029.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0029.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0029.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0029.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0029.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0029.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0029.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0029.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0029.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0029.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0029.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0029.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0029.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0029.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0029.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0029.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0029.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0029.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 20130512.0030.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' 20130512.0030.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 20130512.0030.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 20130512.0030.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 20130512.0030.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 20130512.0030.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 20130512.0030.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 20130512.0030.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 20130512.0030.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 20130512.0030.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 20130512.0030.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 20130512.0030.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 20130512.0030.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 20130512.0030.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 20130512.0030.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 20130512.0030.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 20130512.0030.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 20130512.0030.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 20130512.0030.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 20130512.0030.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 20130512.0030.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 20130512.0030.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 20130512.0030.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 20130512.0030.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 20130512.0030.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 20130512.0030.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 20130512.0030.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 20130512.0030.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 20130512.0030.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 20130512.0030.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 20130512.0030.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 20130512.0030.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 20130512.0030.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 20130512.0030.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 20130512.0030.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 20130512.0030.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 20130512.0030.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 20130512.0030.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 20130512.0030.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 20130512.0030.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 20130512.0030.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 20130512.0030.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 20130512.0030.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 20130512.0030.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 20130512.0030.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 20130512.0030.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 20130512.0030.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 20130512.0030.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 20130512.0030.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 20130512.0030.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 20130512.0030.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 20130512.0030.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 20130512.0030.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 20130512.0030.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 20130512.0030.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 20130512.0030.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 20130512.0030.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 20130512.0030.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 20130512.0030.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 20130512.0030.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 20130512.0030.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 20130512.0030.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 20130512.0030.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 20130512.0030.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 20130512.0030.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 20130512.0030.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 20130512.0030.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 20130512.0030.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 20130512.0030.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 20130512.0030.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 20130512.0030.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 20130512.0030.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 20130512.0030.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 20130512.0030.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 20130512.0030.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 20130512.0030.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 20130512.0030.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 20130512.0030.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 20130512.0030.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 20130512.0030.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 20130512.0030.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 20130512.0030.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 20130512.0030.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 20130512.0030.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 20130512.0030.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 20130512.0030.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 20130512.0030.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 20130512.0030.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 20130512.0030.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 20130512.0030.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 20130512.0030.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 20130512.0030.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 20130512.0030.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 20130512.0030.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 20130512.0030.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 20130512.0030.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 20130512.0030.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 20130512.0030.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 20130512.0030.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 20130512.0030.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 20130512.0030.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 20130512.0030.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 20130512.0030.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 20130512.0030.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 20130512.0030.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 20130512.0030.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 20130512.0030.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 20130512.0030.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 20130512.0030.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 20130512.0030.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 20130512.0030.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 20130512.0030.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 20130512.0030.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 20130512.0030.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 20130512.0030.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 20130512.0030.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 ThAr.0001.ec.fits: REFSPEC1 = 'ThAr.0001.ec 1.' zThAr.0001.ec.fits: ap = 1, w1 = 10811.37, w2 = 10583.27, dw = -0.13824, nw = 1651 zThAr.0001.ec.fits: ap = 2, w1 = 10611.18, w2 = 10387.3, dw = -0.13569, nw = 1651 zThAr.0001.ec.fits: ap = 3, w1 = 10418.27, w2 = 10198.45, dw = -0.13322, nw = 1651 zThAr.0001.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.35, dw = -0.13085, nw = 1651 zThAr.0001.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.64, dw = -0.12856, nw = 1651 zThAr.0001.ec.fits: ap = 6, w1 = 9879.455, w2 = 9670.988, dw = -0.12634, nw = 1651 zThAr.0001.ec.fits: ap = 7, w1 = 9712.025, w2 = 9507.088, dw = -0.1242, nw = 1651 zThAr.0001.ec.fits: ap = 8, w1 = 9550.175, w2 = 9348.65, dw = -0.12214, nw = 1651 zThAr.0001.ec.fits: ap = 9, w1 = 9393.631, w2 = 9195.407, dw = -0.12014, nw = 1651 zThAr.0001.ec.fits: ap = 10, w1 = 9242.137, w2 = 9047.108, dw = -0.1182, nw = 1651 zThAr.0001.ec.fits: ap = 11, w1 = 9095.452, w2 = 8903.517, dw = -0.11632, nw = 1651 zThAr.0001.ec.fits: ap = 12, w1 = 8953.35, w2 = 8764.412, dw = -0.11451, nw = 1651 zThAr.0001.ec.fits: ap = 13, w1 = 8815.62, w2 = 8629.588, dw = -0.11275, nw = 1651 zThAr.0001.ec.fits: ap = 14, w1 = 8682.064, w2 = 8498.85, dw = -0.11104, nw = 1651 zThAr.0001.ec.fits: ap = 15, w1 = 8552.494, w2 = 8372.014, dw = -0.10938, nw = 1651 zThAr.0001.ec.fits: ap = 16, w1 = 8426.734, w2 = 8248.909, dw = -0.10777, nw = 1651 zThAr.0001.ec.fits: ap = 17, w1 = 8304.62, w2 = 8129.372, dw = -0.10621, nw = 1651 zThAr.0001.ec.fits: ap = 18, w1 = 8185.994, w2 = 8013.25, dw = -0.10469, nw = 1651 zThAr.0001.ec.fits: ap = 19, w1 = 8070.71, w2 = 7900.4, dw = -0.10322, nw = 1651 zThAr.0001.ec.fits: ap = 20, w1 = 7958.627, w2 = 7790.684, dw = -0.10178, nw = 1651 zThAr.0001.ec.fits: ap = 21, w1 = 7849.616, w2 = 7683.974, dw = -0.10039, nw = 1651 zThAr.0001.ec.fits: ap = 22, w1 = 7743.55, w2 = 7580.149, dw = -0.09903, nw = 1651 zThAr.0001.ec.fits: ap = 23, w1 = 7640.313, w2 = 7479.091, dw = -0.09771, nw = 1651 zThAr.0001.ec.fits: ap = 24, w1 = 7539.792, w2 = 7380.694, dw = -0.09642, nw = 1651 zThAr.0001.ec.fits: ap = 25, w1 = 7441.883, w2 = 7284.852, dw = -0.09517, nw = 1651 zThAr.0001.ec.fits: ap = 26, w1 = 7346.483, w2 = 7191.468, dw = -0.09395, nw = 1651 zThAr.0001.ec.fits: ap = 27, w1 = 7253.499, w2 = 7100.448, dw = -0.09276, nw = 1651 zThAr.0001.ec.fits: ap = 28, w1 = 7162.839, w2 = 7011.703, dw = -0.0916, nw = 1651 zThAr.0001.ec.fits: ap = 29, w1 = 7074.418, w2 = 6925.15, dw = -0.09047, nw = 1651 zThAr.0001.ec.fits: ap = 30, w1 = 6988.154, w2 = 6840.708, dw = -0.08936, nw = 1651 zThAr.0001.ec.fits: ap = 31, w1 = 6903.968, w2 = 6758.301, dw = -0.08828, nw = 1651 zThAr.0001.ec.fits: ap = 32, w1 = 6821.786, w2 = 6677.855, dw = -0.08723, nw = 1651 zThAr.0001.ec.fits: ap = 33, w1 = 6741.538, w2 = 6599.303, dw = -0.0862, nw = 1651 zThAr.0001.ec.fits: ap = 34, w1 = 6663.156, w2 = 6522.577, dw = -0.0852, nw = 1651 zThAr.0001.ec.fits: ap = 35, w1 = 6586.577, w2 = 6447.616, dw = -0.08422, nw = 1651 zThAr.0001.ec.fits: ap = 36, w1 = 6511.737, w2 = 6374.358, dw = -0.08326, nw = 1651 zThAr.0001.ec.fits: ap = 37, w1 = 6438.58, w2 = 6302.746, dw = -0.08232, nw = 1651 zThAr.0001.ec.fits: ap = 38, w1 = 6367.048, w2 = 6232.726, dw = -0.08141, nw = 1651 zThAr.0001.ec.fits: ap = 39, w1 = 6297.089, w2 = 6164.245, dw = -0.08051, nw = 1651 zThAr.0001.ec.fits: ap = 40, w1 = 6228.65, w2 = 6097.252, dw = -0.07964, nw = 1651 zThAr.0001.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.7, dw = -0.07878, nw = 1651 zThAr.0001.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.543, dw = -0.07794, nw = 1651 zThAr.0001.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.737, dw = -0.07712, nw = 1651 zThAr.0001.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.239, dw = -0.07631, nw = 1651 zThAr.0001.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.01, dw = -0.07552, nw = 1651 zThAr.0001.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.009, dw = -0.07475, nw = 1651 zThAr.0001.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.201, dw = -0.074, nw = 1651 zThAr.0001.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.549, dw = -0.07325, nw = 1651 zThAr.0001.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.018, dw = -0.07253, nw = 1651 zThAr.0001.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.577, dw = -0.07182, nw = 1651 zThAr.0001.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.192, dw = -0.07112, nw = 1651 zThAr.0001.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.835, dw = -0.07043, nw = 1651 zThAr.0001.ec.fits: ap = 53, w1 = 5457.581, w2 = 5342.475, dw = -0.06976, nw = 1651 zThAr.0001.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.083, dw = -0.0691, nw = 1651 zThAr.0001.ec.fits: ap = 55, w1 = 5355.586, w2 = 5242.634, dw = -0.06846, nw = 1651 zThAr.0001.ec.fits: ap = 56, w1 = 5306.005, w2 = 5194.101, dw = -0.06782, nw = 1651 zThAr.0001.ec.fits: ap = 57, w1 = 5257.334, w2 = 5146.458, dw = -0.0672, nw = 1651 zThAr.0001.ec.fits: ap = 58, w1 = 5209.548, w2 = 5099.682, dw = -0.06659, nw = 1651 zThAr.0001.ec.fits: ap = 59, w1 = 5162.623, w2 = 5053.748, dw = -0.06599, nw = 1651 zThAr.0001.ec.fits: ap = 60, w1 = 5116.537, w2 = 5008.635, dw = -0.0654, nw = 1651 zThAr.0001.ec.fits: ap = 61, w1 = 5071.266, w2 = 4964.32, dw = -0.06482, nw = 1651 zThAr.0001.ec.fits: ap = 62, w1 = 5026.789, w2 = 4920.783, dw = -0.06425, nw = 1651 zThAr.0001.ec.fits: ap = 63, w1 = 4983.086, w2 = 4878.003, dw = -0.06369, nw = 1651 zThAr.0001.ec.fits: ap = 64, w1 = 4940.136, w2 = 4835.961, dw = -0.06314, nw = 1651 zThAr.0001.ec.fits: ap = 65, w1 = 4897.921, w2 = 4794.637, dw = -0.0626, nw = 1651 zThAr.0001.ec.fits: ap = 66, w1 = 4856.422, w2 = 4754.014, dw = -0.06207, nw = 1651 zThAr.0001.ec.fits: ap = 67, w1 = 4815.619, w2 = 4714.074, dw = -0.06154, nw = 1651 zThAr.0001.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.799, dw = -0.06103, nw = 1651 zThAr.0001.ec.fits: ap = 69, w1 = 4736.039, w2 = 4636.174, dw = -0.06052, nw = 1651 zThAr.0001.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.182, dw = -0.06003, nw = 1651 zThAr.0001.ec.fits: ap = 71, w1 = 4659.046, w2 = 4560.808, dw = -0.05954, nw = 1651 zThAr.0001.ec.fits: ap = 72, w1 = 4621.481, w2 = 4524.037, dw = -0.05906, nw = 1651 zThAr.0001.ec.fits: ap = 73, w1 = 4584.518, w2 = 4487.854, dw = -0.05858, nw = 1651 zThAr.0001.ec.fits: ap = 74, w1 = 4548.141, w2 = 4452.246, dw = -0.05812, nw = 1651 zThAr.0001.ec.fits: ap = 75, w1 = 4512.337, w2 = 4417.198, dw = -0.05766, nw = 1651 zThAr.0001.ec.fits: ap = 76, w1 = 4477.092, w2 = 4382.699, dw = -0.05721, nw = 1651 zThAr.0001.ec.fits: ap = 77, w1 = 4442.394, w2 = 4348.734, dw = -0.05676, nw = 1651 zThAr.0001.ec.fits: ap = 78, w1 = 4408.23, w2 = 4315.291, dw = -0.05633, nw = 1651 zThAr.0001.ec.fits: ap = 79, w1 = 4374.587, w2 = 4282.36, dw = -0.0559, nw = 1651 zThAr.0001.ec.fits: ap = 80, w1 = 4341.455, w2 = 4249.927, dw = -0.05547, nw = 1651 zThAr.0001.ec.fits: ap = 81, w1 = 4308.82, w2 = 4217.983, dw = -0.05505, nw = 1651 zThAr.0001.ec.fits: ap = 82, w1 = 4276.672, w2 = 4186.515, dw = -0.05464, nw = 1651 zThAr.0001.ec.fits: ap = 83, w1 = 4245.001, w2 = 4155.514, dw = -0.05423, nw = 1651 zThAr.0001.ec.fits: ap = 84, w1 = 4213.796, w2 = 4124.968, dw = -0.05383, nw = 1651 zThAr.0001.ec.fits: ap = 85, w1 = 4183.046, w2 = 4094.869, dw = -0.05344, nw = 1651 zThAr.0001.ec.fits: ap = 86, w1 = 4152.741, w2 = 4065.205, dw = -0.05305, nw = 1651 zThAr.0001.ec.fits: ap = 87, w1 = 4122.873, w2 = 4035.969, dw = -0.05267, nw = 1651 zThAr.0001.ec.fits: ap = 88, w1 = 4093.431, w2 = 4007.151, dw = -0.05229, nw = 1651 zThAr.0001.ec.fits: ap = 89, w1 = 4064.407, w2 = 3978.741, dw = -0.05192, nw = 1651 zThAr.0001.ec.fits: ap = 90, w1 = 4035.792, w2 = 3950.732, dw = -0.05155, nw = 1651 zThAr.0001.ec.fits: ap = 91, w1 = 4007.577, w2 = 3923.114, dw = -0.05119, nw = 1651 zThAr.0001.ec.fits: ap = 92, w1 = 3979.754, w2 = 3895.881, dw = -0.05083, nw = 1651 zThAr.0001.ec.fits: ap = 93, w1 = 3952.314, w2 = 3869.023, dw = -0.05048, nw = 1651 zThAr.0001.ec.fits: ap = 94, w1 = 3925.25, w2 = 3842.533, dw = -0.05013, nw = 1651 zThAr.0001.ec.fits: ap = 95, w1 = 3898.555, w2 = 3816.403, dw = -0.04979, nw = 1651 zThAr.0001.ec.fits: ap = 96, w1 = 3872.219, w2 = 3790.627, dw = -0.04945, nw = 1651 zThAr.0001.ec.fits: ap = 97, w1 = 3846.238, w2 = 3765.197, dw = -0.04912, nw = 1651 zThAr.0001.ec.fits: ap = 98, w1 = 3820.603, w2 = 3740.106, dw = -0.04879, nw = 1651 zThAr.0001.ec.fits: ap = 99, w1 = 3795.307, w2 = 3715.347, dw = -0.04846, nw = 1651 zThAr.0001.ec.fits: ap = 100, w1 = 3770.344, w2 = 3690.915, dw = -0.04814, nw = 1651 zThAr.0001.ec.fits: ap = 101, w1 = 3745.707, w2 = 3666.802, dw = -0.04782, nw = 1651 zThAr.0001.ec.fits: ap = 102, w1 = 3721.39, w2 = 3643.002, dw = -0.04751, nw = 1651 zThAr.0001.ec.fits: ap = 103, w1 = 3697.386, w2 = 3619.509, dw = -0.0472, nw = 1651 zThAr.0001.ec.fits: ap = 104, w1 = 3673.69, w2 = 3596.318, dw = -0.04689, nw = 1651 zThAr.0001.ec.fits: ap = 105, w1 = 3650.296, w2 = 3573.422, dw = -0.04659, nw = 1651 zThAr.0001.ec.fits: ap = 106, w1 = 3627.198, w2 = 3550.816, dw = -0.04629, nw = 1651 zThAr.0001.ec.fits: ap = 107, w1 = 3604.39, w2 = 3528.495, dw = -0.046, nw = 1651 zThAr.0001.ec.fits: ap = 108, w1 = 3581.867, w2 = 3506.453, dw = -0.04571, nw = 1651 zThAr.0001.ec.fits: ap = 109, w1 = 3559.624, w2 = 3484.685, dw = -0.04542, nw = 1651 zThAr.0001.ec.fits: ap = 110, w1 = 3537.655, w2 = 3463.185, dw = -0.04513, nw = 1651 zThAr.0001.ec.fits: ap = 111, w1 = 3515.955, w2 = 3441.95, dw = -0.04485, nw = 1651 zThAr.0001.ec.fits: ap = 112, w1 = 3494.52, w2 = 3420.974, dw = -0.04457, nw = 1651 zThAr.0001.ec.fits: ap = 113, w1 = 3473.344, w2 = 3400.252, dw = -0.0443, nw = 1651 zThAr.0001.ec.fits: ap = 114, w1 = 3452.424, w2 = 3379.78, dw = -0.04403, nw = 1651 zThAr.0001.ec.fits: ap = 115, w1 = 3431.753, w2 = 3359.553, dw = -0.04376, nw = 1651 ThAr.0002.ec.fits: REFSPEC1 = 'ThAr.0002.ec 1.' zThAr.0002.ec.fits: ap = 1, w1 = 10811.38, w2 = 10583.24, dw = -0.13827, nw = 1651 zThAr.0002.ec.fits: ap = 2, w1 = 10611.19, w2 = 10387.27, dw = -0.13571, nw = 1651 zThAr.0002.ec.fits: ap = 3, w1 = 10418.28, w2 = 10198.43, dw = -0.13324, nw = 1651 zThAr.0002.ec.fits: ap = 4, w1 = 10232.25, w2 = 10016.33, dw = -0.13086, nw = 1651 zThAr.0002.ec.fits: ap = 5, w1 = 10052.76, w2 = 9840.626, dw = -0.12856, nw = 1651 zThAr.0002.ec.fits: ap = 6, w1 = 9879.451, w2 = 9670.976, dw = -0.12635, nw = 1651 zThAr.0002.ec.fits: ap = 7, w1 = 9712.019, w2 = 9507.077, dw = -0.12421, nw = 1651 zThAr.0002.ec.fits: ap = 8, w1 = 9550.167, w2 = 9348.641, dw = -0.12214, nw = 1651 zThAr.0002.ec.fits: ap = 9, w1 = 9393.622, w2 = 9195.4, dw = -0.12013, nw = 1651 zThAr.0002.ec.fits: ap = 10, w1 = 9242.127, w2 = 9047.102, dw = -0.1182, nw = 1651 zThAr.0002.ec.fits: ap = 11, w1 = 9095.441, w2 = 8903.511, dw = -0.11632, nw = 1651 zThAr.0002.ec.fits: ap = 12, w1 = 8953.338, w2 = 8764.408, dw = -0.1145, nw = 1651 zThAr.0002.ec.fits: ap = 13, w1 = 8815.608, w2 = 8629.585, dw = -0.11274, nw = 1651 zThAr.0002.ec.fits: ap = 14, w1 = 8682.051, w2 = 8498.847, dw = -0.11103, nw = 1651 zThAr.0002.ec.fits: ap = 15, w1 = 8552.481, w2 = 8372.012, dw = -0.10938, nw = 1651 zThAr.0002.ec.fits: ap = 16, w1 = 8426.722, w2 = 8248.907, dw = -0.10777, nw = 1651 zThAr.0002.ec.fits: ap = 17, w1 = 8304.607, w2 = 8129.37, dw = -0.1062, nw = 1651 zThAr.0002.ec.fits: ap = 18, w1 = 8185.982, w2 = 8013.249, dw = -0.10469, nw = 1651 zThAr.0002.ec.fits: ap = 19, w1 = 8070.698, w2 = 7900.398, dw = -0.10321, nw = 1651 zThAr.0002.ec.fits: ap = 20, w1 = 7958.616, w2 = 7790.683, dw = -0.10178, nw = 1651 zThAr.0002.ec.fits: ap = 21, w1 = 7849.605, w2 = 7683.973, dw = -0.10038, nw = 1651 zThAr.0002.ec.fits: ap = 22, w1 = 7743.54, w2 = 7580.147, dw = -0.09903, nw = 1651 zThAr.0002.ec.fits: ap = 23, w1 = 7640.304, w2 = 7479.09, dw = -0.09771, nw = 1651 zThAr.0002.ec.fits: ap = 24, w1 = 7539.784, w2 = 7380.692, dw = -0.09642, nw = 1651 zThAr.0002.ec.fits: ap = 25, w1 = 7441.875, w2 = 7284.851, dw = -0.09517, nw = 1651 zThAr.0002.ec.fits: ap = 26, w1 = 7346.476, w2 = 7191.466, dw = -0.09395, nw = 1651 zThAr.0002.ec.fits: ap = 27, w1 = 7253.492, w2 = 7100.446, dw = -0.09276, nw = 1651 zThAr.0002.ec.fits: ap = 28, w1 = 7162.833, w2 = 7011.701, dw = -0.0916, nw = 1651 zThAr.0002.ec.fits: ap = 29, w1 = 7074.413, w2 = 6925.148, dw = -0.09046, nw = 1651 zThAr.0002.ec.fits: ap = 30, w1 = 6988.149, w2 = 6840.705, dw = -0.08936, nw = 1651 zThAr.0002.ec.fits: ap = 31, w1 = 6903.963, w2 = 6758.298, dw = -0.08828, nw = 1651 zThAr.0002.ec.fits: ap = 32, w1 = 6821.782, w2 = 6677.852, dw = -0.08723, nw = 1651 zThAr.0002.ec.fits: ap = 33, w1 = 6741.535, w2 = 6599.3, dw = -0.0862, nw = 1651 zThAr.0002.ec.fits: ap = 34, w1 = 6663.154, w2 = 6522.574, dw = -0.0852, nw = 1651 zThAr.0002.ec.fits: ap = 35, w1 = 6586.574, w2 = 6447.612, dw = -0.08422, nw = 1651 zThAr.0002.ec.fits: ap = 36, w1 = 6511.736, w2 = 6374.354, dw = -0.08326, nw = 1651 zThAr.0002.ec.fits: ap = 37, w1 = 6438.578, w2 = 6302.742, dw = -0.08232, nw = 1651 zThAr.0002.ec.fits: ap = 38, w1 = 6367.047, w2 = 6232.722, dw = -0.08141, nw = 1651 zThAr.0002.ec.fits: ap = 39, w1 = 6297.088, w2 = 6164.24, dw = -0.08051, nw = 1651 zThAr.0002.ec.fits: ap = 40, w1 = 6228.649, w2 = 6097.248, dw = -0.07964, nw = 1651 zThAr.0002.ec.fits: ap = 41, w1 = 6161.683, w2 = 6031.696, dw = -0.07878, nw = 1651 zThAr.0002.ec.fits: ap = 42, w1 = 6096.141, w2 = 5967.539, dw = -0.07794, nw = 1651 zThAr.0002.ec.fits: ap = 43, w1 = 6031.979, w2 = 5904.733, dw = -0.07712, nw = 1651 zThAr.0002.ec.fits: ap = 44, w1 = 5969.154, w2 = 5843.235, dw = -0.07631, nw = 1651 zThAr.0002.ec.fits: ap = 45, w1 = 5907.624, w2 = 5783.005, dw = -0.07553, nw = 1651 zThAr.0002.ec.fits: ap = 46, w1 = 5847.35, w2 = 5724.005, dw = -0.07476, nw = 1651 zThAr.0002.ec.fits: ap = 47, w1 = 5788.294, w2 = 5666.196, dw = -0.074, nw = 1651 zThAr.0002.ec.fits: ap = 48, w1 = 5730.419, w2 = 5609.544, dw = -0.07326, nw = 1651 zThAr.0002.ec.fits: ap = 49, w1 = 5673.69, w2 = 5554.014, dw = -0.07253, nw = 1651 zThAr.0002.ec.fits: ap = 50, w1 = 5618.074, w2 = 5499.573, dw = -0.07182, nw = 1651 zThAr.0002.ec.fits: ap = 51, w1 = 5563.537, w2 = 5446.188, dw = -0.07112, nw = 1651 zThAr.0002.ec.fits: ap = 52, w1 = 5510.049, w2 = 5393.831, dw = -0.07044, nw = 1651 zThAr.0002.ec.fits: ap = 53, w1 = 5457.58, w2 = 5342.471, dw = -0.06976, nw = 1651 zThAr.0002.ec.fits: ap = 54, w1 = 5406.102, w2 = 5292.08, dw = -0.0691, nw = 1651 zThAr.0002.ec.fits: ap = 55, w1 = 5355.585, w2 = 5242.631, dw = -0.06846, nw = 1651 zThAr.0002.ec.fits: ap = 56, w1 = 5306.004, w2 = 5194.098, dw = -0.06782, nw = 1651 zThAr.0002.ec.fits: ap = 57, w1 = 5257.333, w2 = 5146.456, dw = -0.0672, nw = 1651 zThAr.0002.ec.fits: ap = 58, w1 = 5209.547, w2 = 5099.68, dw = -0.06659, nw = 1651 zThAr.0002.ec.fits: ap = 59, w1 = 5162.622, w2 = 5053.746, dw = -0.06599, nw = 1651 zThAr.0002.ec.fits: ap = 60, w1 = 5116.535, w2 = 5008.634, dw = -0.0654, nw = 1651 zThAr.0002.ec.fits: ap = 61, w1 = 5071.264, w2 = 4964.319, dw = -0.06482, nw = 1651 zThAr.0002.ec.fits: ap = 62, w1 = 5026.788, w2 = 4920.783, dw = -0.06425, nw = 1651 zThAr.0002.ec.fits: ap = 63, w1 = 4983.084, w2 = 4878.003, dw = -0.06369, nw = 1651 zThAr.0002.ec.fits: ap = 64, w1 = 4940.135, w2 = 4835.961, dw = -0.06314, nw = 1651 zThAr.0002.ec.fits: ap = 65, w1 = 4897.92, w2 = 4794.638, dw = -0.06259, nw = 1651 zThAr.0002.ec.fits: ap = 66, w1 = 4856.42, w2 = 4754.016, dw = -0.06206, nw = 1651 zThAr.0002.ec.fits: ap = 67, w1 = 4815.618, w2 = 4714.076, dw = -0.06154, nw = 1651 zThAr.0002.ec.fits: ap = 68, w1 = 4775.497, w2 = 4674.802, dw = -0.06103, nw = 1651 zThAr.0002.ec.fits: ap = 69, w1 = 4736.038, w2 = 4636.178, dw = -0.06052, nw = 1651 zThAr.0002.ec.fits: ap = 70, w1 = 4697.227, w2 = 4598.187, dw = -0.06002, nw = 1651 zThAr.0002.ec.fits: ap = 71, w1 = 4659.047, w2 = 4560.813, dw = -0.05954, nw = 1651 zThAr.0002.ec.fits: ap = 72, w1 = 4621.482, w2 = 4524.043, dw = -0.05905, nw = 1651 zThAr.0002.ec.fits: ap = 73, w1 = 4584.519, w2 = 4487.861, dw = -0.05858, nw = 1651 zThAr.0002.ec.fits: ap = 74, w1 = 4548.143, w2 = 4452.253, dw = -0.05812, nw = 1651 zThAr.0002.ec.fits: ap = 75, w1 = 4512.34, w2 = 4417.206, dw = -0.05766, nw = 1651 zThAr.0002.ec.fits: ap = 76, w1 = 4477.096, w2 = 4382.707, dw = -0.05721, nw = 1651 zThAr.0002.ec.fits: ap = 77, w1 = 4442.399, w2 = 4348.743, dw = -0.05676, nw = 1651 zThAr.0002.ec.fits: ap = 78, w1 = 4408.236, w2 = 4315.302, dw = -0.05632, nw = 1651 zThAr.0002.ec.fits: ap = 79, w1 = 4374.595, w2 = 4282.371, dw = -0.05589, nw = 1651 zThAr.0002.ec.fits: ap = 80, w1 = 4341.464, w2 = 4249.94, dw = -0.05547, nw = 1651 zThAr.0002.ec.fits: ap = 81, w1 = 4308.831, w2 = 4217.996, dw = -0.05505, nw = 1651 zThAr.0002.ec.fits: ap = 82, w1 = 4276.685, w2 = 4186.529, dw = -0.05464, nw = 1651 zThAr.0002.ec.fits: ap = 83, w1 = 4245.016, w2 = 4155.528, dw = -0.05423, nw = 1651 zThAr.0002.ec.fits: ap = 84, w1 = 4213.813, w2 = 4124.984, dw = -0.05384, nw = 1651 zThAr.0002.ec.fits: ap = 85, w1 = 4183.065, w2 = 4094.885, dw = -0.05344, nw = 1651 zThAr.0002.ec.fits: ap = 86, w1 = 4152.763, w2 = 4065.223, dw = -0.05305, nw = 1651 zThAr.0002.ec.fits: ap = 87, w1 = 4122.897, w2 = 4035.988, dw = -0.05267, nw = 1651 zThAr.0002.ec.fits: ap = 88, w1 = 4093.459, w2 = 4007.17, dw = -0.0523, nw = 1651 zThAr.0002.ec.fits: ap = 89, w1 = 4064.438, w2 = 3978.762, dw = -0.05192, nw = 1651 zThAr.0002.ec.fits: ap = 90, w1 = 4035.826, w2 = 3950.753, dw = -0.05156, nw = 1651 zThAr.0002.ec.fits: ap = 91, w1 = 4007.614, w2 = 3923.137, dw = -0.0512, nw = 1651 zThAr.0002.ec.fits: ap = 92, w1 = 3979.795, w2 = 3895.904, dw = -0.05084, nw = 1651 zThAr.0002.ec.fits: ap = 93, w1 = 3952.359, w2 = 3869.047, dw = -0.05049, nw = 1651 zThAr.0002.ec.fits: ap = 94, w1 = 3925.299, w2 = 3842.558, dw = -0.05015, nw = 1651 zThAr.0002.ec.fits: ap = 95, w1 = 3898.608, w2 = 3816.429, dw = -0.04981, nw = 1651 zThAr.0002.ec.fits: ap = 96, w1 = 3872.278, w2 = 3790.654, dw = -0.04947, nw = 1651 zThAr.0002.ec.fits: ap = 97, w1 = 3846.301, w2 = 3765.225, dw = -0.04914, nw = 1651 zThAr.0002.ec.fits: ap = 98, w1 = 3820.671, w2 = 3740.134, dw = -0.04881, nw = 1651 zThAr.0002.ec.fits: ap = 99, w1 = 3795.381, w2 = 3715.377, dw = -0.04849, nw = 1651 zThAr.0002.ec.fits: ap = 100, w1 = 3770.424, w2 = 3690.945, dw = -0.04817, nw = 1651 zThAr.0002.ec.fits: ap = 101, w1 = 3745.793, w2 = 3666.833, dw = -0.04785, nw = 1651 zThAr.0002.ec.fits: ap = 102, w1 = 3721.482, w2 = 3643.034, dw = -0.04754, nw = 1651 zThAr.0002.ec.fits: ap = 103, w1 = 3697.486, w2 = 3619.542, dw = -0.04724, nw = 1651 zThAr.0002.ec.fits: ap = 104, w1 = 3673.797, w2 = 3596.352, dw = -0.04694, nw = 1651 zThAr.0002.ec.fits: ap = 105, w1 = 3650.41, w2 = 3573.457, dw = -0.04664, nw = 1651 zThAr.0002.ec.fits: ap = 106, w1 = 3627.32, w2 = 3550.852, dw = -0.04634, nw = 1651 zThAr.0002.ec.fits: ap = 107, w1 = 3604.52, w2 = 3528.531, dw = -0.04605, nw = 1651 zThAr.0002.ec.fits: ap = 108, w1 = 3582.005, w2 = 3506.49, dw = -0.04577, nw = 1651 zThAr.0002.ec.fits: ap = 109, w1 = 3559.771, w2 = 3484.722, dw = -0.04548, nw = 1651 zThAr.0002.ec.fits: ap = 110, w1 = 3537.811, w2 = 3463.223, dw = -0.0452, nw = 1651 zThAr.0002.ec.fits: ap = 111, w1 = 3516.121, w2 = 3441.989, dw = -0.04493, nw = 1651 zThAr.0002.ec.fits: ap = 112, w1 = 3494.696, w2 = 3421.013, dw = -0.04466, nw = 1651 zThAr.0002.ec.fits: ap = 113, w1 = 3473.531, w2 = 3400.292, dw = -0.04439, nw = 1651 zThAr.0002.ec.fits: ap = 114, w1 = 3452.621, w2 = 3379.82, dw = -0.04412, nw = 1651 zThAr.0002.ec.fits: ap = 115, w1 = 3431.961, w2 = 3359.594, dw = -0.04386, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Dec 10 12:27: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0019.ec.fits[ 1] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 2] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 3] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 4] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 5] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 6] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 7] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 8] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 9] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 10] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 11] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 12] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 13] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 14] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 15] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 16] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 17] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 18] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 19] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 20] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 21] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 22] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 23] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 24] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 25] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 26] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 27] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 28] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 29] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 30] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 31] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 32] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 33] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 34] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 35] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 36] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 37] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 38] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 39] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 40] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 41] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 42] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 43] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 44] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 45] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 46] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 47] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 48] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 49] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 50] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 51] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 52] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 53] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 54] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 55] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 56] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 57] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 58] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 59] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 60] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 61] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 62] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 63] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 64] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 65] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 66] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 67] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 68] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 69] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 70] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 71] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 72] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 73] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 74] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 75] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 76] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 77] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 78] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 79] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 80] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 81] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 82] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 83] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 84] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 85] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 86] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 87] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 88] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 89] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 90] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 91] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 92] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 93] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 94] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 95] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 96] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 97] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 98] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[ 99] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[100] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[101] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[102] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[103] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[104] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[105] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[106] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[107] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[108] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[109] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[110] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[111] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[112] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[113] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[114] 720.0 1.000 0. 0.009 20130512.0019.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum20130512.0019.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0020.ec.fits[ 1] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 2] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 3] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 4] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 5] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 6] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 7] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 8] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 9] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 10] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 11] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 12] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 13] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 14] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 15] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 16] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 17] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 18] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 19] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 20] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 21] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 22] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 23] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 24] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 25] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 26] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 27] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 28] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 29] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 30] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 31] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 32] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 33] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 34] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 35] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 36] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 37] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 38] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 39] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 40] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 41] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 42] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 43] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 44] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 45] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 46] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 47] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 48] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 49] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 50] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 51] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 52] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 53] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 54] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 55] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 56] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 57] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 58] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 59] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 60] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 61] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 62] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 63] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 64] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 65] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 66] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 67] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 68] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 69] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 70] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 71] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 72] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 73] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 74] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 75] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 76] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 77] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 78] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 79] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 80] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 81] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 82] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 83] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 84] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 85] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 86] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 87] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 88] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 89] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 90] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 91] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 92] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 93] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 94] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 95] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 96] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 97] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 98] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[ 99] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[100] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[101] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[102] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[103] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[104] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[105] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[106] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[107] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[108] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[109] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[110] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[111] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[112] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[113] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[114] 1200.0 1.000 0. 0.009 20130512.0020.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum20130512.0020.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0021.ec.fits[ 1] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 2] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 3] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 4] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 5] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 6] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 7] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 8] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 9] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 10] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 11] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 12] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 13] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 14] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 15] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 16] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 17] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 18] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 19] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 20] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 21] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 22] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 23] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 24] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 25] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 26] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 27] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 28] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 29] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 30] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 31] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 32] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 33] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 34] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 35] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 36] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 37] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 38] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 39] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 40] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 41] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 42] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 43] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 44] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 45] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 46] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 47] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 48] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 49] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 50] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 51] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 52] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 53] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 54] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 55] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 56] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 57] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 58] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 59] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 60] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 61] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 62] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 63] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 64] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 65] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 66] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 67] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 68] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 69] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 70] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 71] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 72] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 73] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 74] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 75] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 76] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 77] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 78] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 79] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 80] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 81] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 82] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 83] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 84] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 85] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 86] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 87] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 88] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 89] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 90] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 91] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 92] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 93] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 94] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 95] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 96] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 97] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 98] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[ 99] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[100] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[101] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[102] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[103] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[104] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[105] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[106] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[107] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[108] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[109] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[110] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[111] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[112] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[113] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[114] 1500.0 1.000 0. 0.009 20130512.0021.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum20130512.0021.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0022.ec.fits[ 1] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 2] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 3] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 4] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 5] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 6] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 7] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 8] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 9] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 10] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 11] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 12] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 13] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 14] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 15] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 16] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 17] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 18] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 19] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 20] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 21] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 22] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 23] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 24] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 25] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 26] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 27] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 28] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 29] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 30] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 31] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 32] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 33] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 34] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 35] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 36] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 37] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 38] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 39] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 40] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 41] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 42] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 43] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 44] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 45] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 46] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 47] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 48] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 49] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 50] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 51] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 52] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 53] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 54] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 55] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 56] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 57] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 58] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 59] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 60] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 61] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 62] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 63] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 64] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 65] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 66] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 67] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 68] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 69] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 70] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 71] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 72] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 73] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 74] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 75] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 76] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 77] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 78] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 79] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 80] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 81] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 82] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 83] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 84] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 85] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 86] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 87] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 88] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 89] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 90] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 91] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 92] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 93] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 94] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 95] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 96] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 97] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 98] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[ 99] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[100] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[101] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[102] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[103] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[104] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[105] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[106] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[107] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[108] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[109] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[110] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[111] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[112] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[113] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[114] 720.0 1.000 0. 0.009 20130512.0022.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sum20130512.0022.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[100] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[101] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[102] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[103] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[104] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[105] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[106] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[107] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[108] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[109] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[110] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[111] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[112] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[113] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[114] 900.0 1.000 0. 0.009 20130512.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum20130512.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0024.ec.fits[ 1] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 2] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 3] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 4] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 5] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 6] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 7] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 8] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 9] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 10] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 11] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 12] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 13] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 14] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 15] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 16] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 17] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 18] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 19] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 20] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 21] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 22] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 23] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 24] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 25] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 26] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 27] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 28] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 29] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 30] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 31] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 32] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 33] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 34] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 35] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 36] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 37] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 38] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 39] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 40] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 41] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 42] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 43] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 44] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 45] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 46] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 47] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 48] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 49] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 50] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 51] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 52] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 53] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 54] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 55] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 56] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 57] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 58] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 59] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 60] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 61] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 62] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 63] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 64] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 65] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 66] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 67] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 68] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 69] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 70] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 71] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 72] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 73] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 74] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 75] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 76] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 77] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 78] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 79] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 80] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 81] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 82] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 83] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 84] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 85] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 86] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 87] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 88] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 89] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 90] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 91] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 92] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 93] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 94] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 95] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 96] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 97] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 98] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[ 99] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[100] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[101] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[102] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[103] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[104] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[105] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[106] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[107] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[108] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[109] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[110] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[111] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[112] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[113] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[114] 900.0 1.000 0. 0.009 20130512.0024.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum20130512.0024.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[100] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[101] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[102] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[103] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[104] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[105] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[106] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[107] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[108] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[109] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[110] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[111] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[112] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[113] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[114] 900.0 1.000 0. 0.009 20130512.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum20130512.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[100] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[101] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[102] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[103] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[104] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[105] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[106] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[107] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[108] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[109] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[110] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[111] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[112] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[113] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[114] 1200.0 1.000 0. 0.009 20130512.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum20130512.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[100] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[101] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[102] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[103] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[104] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[105] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[106] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[107] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[108] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[109] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[110] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[111] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[112] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[113] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[114] 1500.0 1.000 0. 0.009 20130512.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sum20130512.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[100] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[101] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[102] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[103] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[104] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[105] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[106] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[107] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[108] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[109] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[110] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[111] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[112] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[113] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[114] 900.0 1.000 0. 0.009 20130512.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum20130512.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:41: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0029.ec.fits[ 1] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 2] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 3] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 4] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 5] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 6] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 7] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 8] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 9] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 10] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 11] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 12] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 13] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 14] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 15] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 16] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 17] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 18] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 19] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 20] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 21] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 22] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 23] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 24] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 25] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 26] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 27] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 28] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 29] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 30] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 31] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 32] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 33] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 34] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 35] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 36] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 37] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 38] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 39] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 40] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 41] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 42] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 43] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 44] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 45] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 46] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 47] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 48] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 49] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 50] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 51] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 52] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 53] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 54] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 55] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 56] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 57] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 58] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 59] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 60] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 61] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 62] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 63] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 64] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 65] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 66] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 67] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 68] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 69] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 70] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 71] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 72] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 73] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 74] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 75] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 76] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 77] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 78] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 79] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 80] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 81] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 82] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 83] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 84] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 85] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 86] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 87] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 88] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 89] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 90] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 91] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 92] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 93] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 94] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 95] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 96] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 97] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 98] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[ 99] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[100] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[101] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[102] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[103] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[104] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[105] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[106] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[107] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[108] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[109] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[110] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[111] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[112] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[113] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[114] 900.0 1.000 0. 0.009 20130512.0029.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum20130512.0029.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 20130512.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[100] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[101] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[102] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[103] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[104] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[105] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[106] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[107] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[108] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[109] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[110] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[111] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[112] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[113] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[114] 900.0 1.000 0. 0.009 20130512.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum20130512.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:42: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0019.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[100] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[101] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[102] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[103] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[104] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[105] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[106] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[107] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[108] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[109] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[110] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[111] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[112] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[113] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[114] 720.0 1.000 0. 0.009 fitcont20130512.0019.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont20130512.0019.ec.fits, ncombine = 115, exptime = 82799.99 w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:43: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0020.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont20130512.0020.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont20130512.0020.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:43: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0021.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont20130512.0021.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont20130512.0021.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:44: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0022.ec.fits[ 1] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 2] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 3] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 4] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 5] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 6] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 7] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 8] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 9] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 10] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 11] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 12] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 13] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 14] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 15] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 16] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 17] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 18] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 19] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 20] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 21] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 22] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 23] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 24] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 25] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 26] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 27] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 28] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 29] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 30] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 31] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 32] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 33] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 34] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 35] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 36] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 37] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 38] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 39] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 40] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 41] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 42] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 43] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 44] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 45] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 46] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 47] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 48] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 49] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 50] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 51] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 52] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 53] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 54] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 55] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 56] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 57] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 58] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 59] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 60] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 61] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 62] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 63] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 64] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 65] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 66] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 67] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 68] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 69] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 70] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 71] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 72] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 73] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 74] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 75] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 76] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 77] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 78] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 79] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 80] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 81] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 82] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 83] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 84] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 85] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 86] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 87] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 88] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 89] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 90] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 91] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 92] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 93] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 94] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 95] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 96] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 97] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 98] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[ 99] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[100] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[101] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[102] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[103] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[104] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[105] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[106] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[107] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[108] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[109] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[110] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[111] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[112] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[113] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[114] 720.0 1.000 0. 0.009 fitcont20130512.0022.ec.fits[115] 720.0 1.000 0. 0.009 Output image = sumfitcont20130512.0022.ec.fits, ncombine = 115, exptime = 82800.02 w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:45: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0023.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[100] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[101] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[102] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[103] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[104] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[105] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[106] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[107] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[108] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[109] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[110] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[111] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[112] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[113] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[114] 900.0 1.000 0. 0.009 fitcont20130512.0023.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont20130512.0023.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:45: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0024.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[100] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[101] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[102] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[103] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[104] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[105] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[106] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[107] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[108] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[109] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[110] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[111] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[112] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[113] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[114] 900.0 1.000 0. 0.009 fitcont20130512.0024.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont20130512.0024.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0025.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[100] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[101] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[102] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[103] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[104] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[105] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[106] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[107] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[108] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[109] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[110] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[111] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[112] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[113] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[114] 900.0 1.000 0. 0.009 fitcont20130512.0025.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont20130512.0025.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:46: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0026.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont20130512.0026.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont20130512.0026.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:47: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0027.ec.fits[ 1] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 2] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 3] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 4] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 5] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 6] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 7] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 8] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 9] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 10] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 11] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 12] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 13] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 14] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 15] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 16] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 17] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 18] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 19] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 20] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 21] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 22] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 23] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 24] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 25] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 26] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 27] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 28] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 29] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 30] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 31] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 32] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 33] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 34] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 35] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 36] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 37] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 38] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 39] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 40] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 41] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 42] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 43] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 44] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 45] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 46] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 47] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 48] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 49] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 50] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 51] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 52] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 53] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 54] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 55] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 56] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 57] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 58] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 59] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 60] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 61] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 62] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 63] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 64] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 65] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 66] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 67] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 68] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 69] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 70] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 71] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 72] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 73] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 74] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 75] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 76] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 77] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 78] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 79] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 80] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 81] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 82] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 83] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 84] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 85] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 86] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 87] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 88] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 89] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 90] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 91] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 92] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 93] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 94] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 95] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 96] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 97] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 98] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[ 99] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[100] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[101] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[102] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[103] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[104] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[105] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[106] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[107] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[108] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[109] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[110] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[111] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[112] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[113] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[114] 1500.0 1.000 0. 0.009 fitcont20130512.0027.ec.fits[115] 1500.0 1.000 0. 0.009 Output image = sumfitcont20130512.0027.ec.fits, ncombine = 115, exptime = 172500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:47: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0028.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[100] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[101] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[102] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[103] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[104] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[105] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[106] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[107] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[108] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[109] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[110] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[111] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[112] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[113] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[114] 900.0 1.000 0. 0.009 fitcont20130512.0028.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont20130512.0028.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:48: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0029.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[100] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[101] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[102] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[103] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[104] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[105] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[106] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[107] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[108] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[109] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[110] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[111] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[112] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[113] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[114] 900.0 1.000 0. 0.009 fitcont20130512.0029.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont20130512.0029.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 Dec 10 12:48: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont20130512.0030.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[100] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[101] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[102] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[103] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[104] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[105] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[106] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[107] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[108] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[109] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[110] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[111] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[112] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[113] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[114] 900.0 1.000 0. 0.009 fitcont20130512.0030.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont20130512.0030.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.594, w2 = 10811.38, dw = 0.04385908, nw = 169904., dtype = 0 82799.99 fullspec20130512.0019.ec.fits,EXPTIME: 82799.99 -> 719.999913043 fullspec20130512.0019.ec.fits updated 138000. fullspec20130512.0020.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec20130512.0020.ec.fits updated 172500. fullspec20130512.0021.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec20130512.0021.ec.fits updated 82800.02 fullspec20130512.0022.ec.fits,EXPTIME: 82800.02 -> 720.000173913 fullspec20130512.0022.ec.fits updated 103500. fullspec20130512.0023.ec.fits,EXPTIME: 103500. -> 900.0 fullspec20130512.0023.ec.fits updated 103500. fullspec20130512.0024.ec.fits,EXPTIME: 103500. -> 900.0 fullspec20130512.0024.ec.fits updated 103500. fullspec20130512.0025.ec.fits,EXPTIME: 103500. -> 900.0 fullspec20130512.0025.ec.fits updated 138000. fullspec20130512.0026.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec20130512.0026.ec.fits updated 172500. fullspec20130512.0027.ec.fits,EXPTIME: 172500. -> 1500.0 fullspec20130512.0027.ec.fits updated 103500. fullspec20130512.0028.ec.fits,EXPTIME: 103500. -> 900.0 fullspec20130512.0028.ec.fits updated 103500. fullspec20130512.0029.ec.fits,EXPTIME: 103500. -> 900.0 fullspec20130512.0029.ec.fits updated 103500. fullspec20130512.0030.ec.fits,EXPTIME: 103500. -> 900.0 fullspec20130512.0030.ec.fits updated ALL DONE! Yay! (=^.^=)