Copying data files and other necessary files Changing to reduced data directory Generating file lists... Setting dispaxis... add 130606.0019.fits,dispaxis = 1 130606.0019.fits updated add 130606.0020.fits,dispaxis = 1 130606.0020.fits updated add 130606.0021.fits,dispaxis = 1 130606.0021.fits updated add 130606.0022.fits,dispaxis = 1 130606.0022.fits updated add 130606.0025.fits,dispaxis = 1 130606.0025.fits updated add 130606.0027.fits,dispaxis = 1 130606.0027.fits updated add Bias.0001.fits,dispaxis = 1 Bias.0001.fits updated add EchelleThAr.0017.fits,dispaxis = 1 EchelleThAr.0017.fits updated add EchelleThAr.0018.fits,dispaxis = 1 EchelleThAr.0018.fits updated add EchelleThAr.0023.fits,dispaxis = 1 EchelleThAr.0023.fits updated add EchelleThAr.0024.fits,dispaxis = 1 EchelleThAr.0024.fits updated add EchelleThAr.0028.fits,dispaxis = 1 EchelleThAr.0028.fits updated add EchelleThAr.0029.fits,dispaxis = 1 EchelleThAr.0029.fits updated add Flat.0002.fits,dispaxis = 1 Flat.0002.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 Flat.0006.fits,dispaxis = 1 Flat.0006.fits updated add Flat.0007.fits,dispaxis = 1 Flat.0007.fits updated add Flat.0008.fits,dispaxis = 1 Flat.0008.fits updated add Flat.0009.fits,dispaxis = 1 Flat.0009.fits updated add FlatBlue.0010.fits,dispaxis = 1 FlatBlue.0010.fits updated add FlatBlue.0011.fits,dispaxis = 1 FlatBlue.0011.fits updated add FlatBlue.0012.fits,dispaxis = 1 FlatBlue.0012.fits updated add FlatBlue.0013.fits,dispaxis = 1 FlatBlue.0013.fits updated add FlatBlue.0014.fits,dispaxis = 1 FlatBlue.0014.fits updated add FlatBlue.0015.fits,dispaxis = 1 FlatBlue.0015.fits updated FIXPIX: image Flat.0002.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 Flat.0006.fits with mask echmask.pl FIXPIX: image Flat.0007.fits with mask echmask.pl FIXPIX: image Flat.0008.fits with mask echmask.pl FIXPIX: image Flat.0009.fits with mask echmask.pl FIXPIX: image FlatBlue.0010.fits with mask echmask.pl FIXPIX: image FlatBlue.0011.fits with mask echmask.pl FIXPIX: image FlatBlue.0012.fits with mask echmask.pl FIXPIX: image FlatBlue.0013.fits with mask echmask.pl FIXPIX: image FlatBlue.0014.fits with mask echmask.pl FIXPIX: image FlatBlue.0015.fits with mask echmask.pl FIXPIX: image 130606.0019.fits with mask echmask.pl FIXPIX: image 130606.0020.fits with mask echmask.pl FIXPIX: image 130606.0021.fits with mask echmask.pl FIXPIX: image 130606.0022.fits with mask echmask.pl FIXPIX: image 130606.0025.fits with mask echmask.pl FIXPIX: image 130606.0027.fits with mask echmask.pl FIXPIX: image EchelleThAr.0017.fits with mask echmask.pl FIXPIX: image EchelleThAr.0018.fits with mask echmask.pl FIXPIX: image EchelleThAr.0023.fits with mask echmask.pl FIXPIX: image EchelleThAr.0024.fits with mask echmask.pl FIXPIX: image EchelleThAr.0028.fits with mask echmask.pl FIXPIX: image EchelleThAr.0029.fits with mask echmask.pl Dec 10 11:13: IMCOMBINE combine = median, scale = none, zero = none, weight = none blank = 0. Images Bias.0001.fits Output image = bias_fid, ncombine = 1 Calibrating object images and flats (bias, and trimming)... 130606.0019.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] bias_fid: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130606.0019.fits: Dec 10 11:13 Zero level correction image is bias_fid 130606.0020.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130606.0020.fits: Dec 10 11:13 Zero level correction image is bias_fid 130606.0021.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130606.0021.fits: Dec 10 11:13 Zero level correction image is bias_fid 130606.0022.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130606.0022.fits: Dec 10 11:13 Zero level correction image is bias_fid 130606.0025.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130606.0025.fits: Dec 10 11:13 Zero level correction image is bias_fid 130606.0027.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] 130606.0027.fits: Dec 10 11:13 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... Flat.0002.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] Flat.0002.fits: Dec 10 11:13 Zero level correction image is bias_fid Flat.0003.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] Flat.0003.fits: Dec 10 11:13 Zero level correction image is bias_fid Flat.0004.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] Flat.0004.fits: Dec 10 11:13 Zero level correction image is bias_fid Flat.0005.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] Flat.0005.fits: Dec 10 11:13 Zero level correction image is bias_fid Flat.0006.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] Flat.0006.fits: Dec 10 11:13 Zero level correction image is bias_fid Flat.0007.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] Flat.0007.fits: Dec 10 11:13 Zero level correction image is bias_fid Flat.0008.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] Flat.0008.fits: Dec 10 11:13 Zero level correction image is bias_fid Flat.0009.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] Flat.0009.fits: Dec 10 11:13 Zero level correction image is bias_fid Calibrating object images and flats (bias, and trimming)... FlatBlue.0010.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] FlatBlue.0010.fits: Dec 10 11:13 Zero level correction image is bias_fid FlatBlue.0011.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] FlatBlue.0011.fits: Dec 10 11:13 Zero level correction image is bias_fid FlatBlue.0012.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] FlatBlue.0012.fits: Dec 10 11:13 Zero level correction image is bias_fid FlatBlue.0013.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] FlatBlue.0013.fits: Dec 10 11:13 Zero level correction image is bias_fid FlatBlue.0014.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] FlatBlue.0014.fits: Dec 10 11:13 Zero level correction image is bias_fid FlatBlue.0015.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] FlatBlue.0015.fits: Dec 10 11:13 Zero level correction image is bias_fid Calibrating ThAr arcs... EchelleThAr.0017.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0017.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0018.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0018.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0023.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0023.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0024.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0024.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0028.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0028.fits: Dec 10 11:13 Zero level correction image is bias_fid EchelleThAr.0029.fits: Dec 10 11:13 Trim data section is [200:1850,1:2048] EchelleThAr.0029.fits: Dec 10 11:13 Zero level correction image is bias_fid Combining red and blue flats into separate fiducial flats... Dec 10 11:14: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp FlatBlue.0010.fits 200.0 FlatBlue.0011.fits 200.0 FlatBlue.0012.fits 200.0 FlatBlue.0013.fits 200.0 FlatBlue.0014.fits 200.0 FlatBlue.0015.fits 200.0 Output image = flat_blue_mean.fits, ncombine = 6 Dec 10 11:14: IMCOMBINE combine = median, scale = none, zero = none, weight = none reject = avsigclip, mclip = yes, nkeep = 1 lsigma = 3., hsigma = 3. blank = 1. Images Exp Flat.0002.fits 7.0 Flat.0003.fits 7.0 Flat.0004.fits 7.0 Flat.0005.fits 7.0 Flat.0006.fits 7.0 Flat.0007.fits 7.0 Flat.0008.fits 7.0 Flat.0009.fits 7.0 Output image = flat_red_mean.fits, ncombine = 8 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 11:15: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 95. Dec 10 11:15: TRACE - Trace of aperture 97 in flat_fid_mag lost at column 94. Dec 10 11:15: TRACE - Trace of aperture 97 in flat_fid_mag recovered at column 93. Dec 10 11:15: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1559. Dec 10 11:15: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 1560. Dec 10 11:15: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 1624. Dec 10 11:15: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 1625. Dec 10 11:15: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 116. Dec 10 11:15: TRACE - Trace of aperture 98 in flat_fid_mag lost at column 115. Dec 10 11:15: TRACE - Trace of aperture 98 in flat_fid_mag recovered at column 114. Dec 10 11:15: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 1608. Dec 10 11:15: TRACE - Trace of aperture 99 in flat_fid_mag recovered at column 1609. Dec 10 11:15: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 142. Dec 10 11:15: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 141. Dec 10 11:15: TRACE - Trace of aperture 99 in flat_fid_mag lost at column 140. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1526. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1527. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1555. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1556. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1557. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1619. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1620. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 1621. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 1622. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 127. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 126. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 125. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag lost at column 111. Dec 10 11:15: TRACE - Trace of aperture 100 in flat_fid_mag recovered at column 110. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1645. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 1646. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 1647. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 107. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 106. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 105. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 103. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 102. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag lost at column 100. Dec 10 11:15: TRACE - Trace of aperture 101 in flat_fid_mag recovered at column 99. Dec 10 11:15: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1606. Dec 10 11:15: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1607. Dec 10 11:15: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 1608. Dec 10 11:15: TRACE - Trace of aperture 102 in flat_fid_mag lost at column 51. Dec 10 11:15: TRACE - Trace of aperture 102 in flat_fid_mag recovered at column 50. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1545. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1546. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1547. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1559. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1560. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1567. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1568. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1579. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1580. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1602. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1603. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1611. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1612. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 1613. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1623. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1624. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 1625. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 144. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 143. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 97. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag recovered at column 96. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 86. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 85. Dec 10 11:15: TRACE - Trace of aperture 103 in flat_fid_mag lost at column 84. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1524. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1525. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1552. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 1553. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1569. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1570. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 1571. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 113. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag recovered at column 112. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 94. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 93. Dec 10 11:15: TRACE - Trace of aperture 104 in flat_fid_mag lost at column 92. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1494. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1495. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1496. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1497. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1524. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag recovered at column 1525. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1559. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1560. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 1561. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 230. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 229. Dec 10 11:15: TRACE - Trace of aperture 105 in flat_fid_mag lost at column 228. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1476. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 1477. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1478. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1479. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 1480. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 199. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 198. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 137. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 136. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 126. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 125. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 106. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag lost at column 105. Dec 10 11:15: TRACE - Trace of aperture 106 in flat_fid_mag recovered at column 104. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1460. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 1461. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1469. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1470. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 1471. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 168. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 167. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 166. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 165. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 161. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 160. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag recovered at column 159. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 153. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 152. Dec 10 11:15: TRACE - Trace of aperture 107 in flat_fid_mag lost at column 151. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1405. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1406. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1407. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1459. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1460. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1499. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1500. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1510. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1511. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1544. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1545. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1546. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1547. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1552. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1553. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 1554. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1556. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1557. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 1558. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 245. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag recovered at column 244. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 233. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 232. Dec 10 11:15: TRACE - Trace of aperture 108 in flat_fid_mag lost at column 231. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1402. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1403. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 1404. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 288. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 287. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 238. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 237. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag recovered at column 236. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 220. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 219. Dec 10 11:15: TRACE - Trace of aperture 109 in flat_fid_mag lost at column 218. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1282. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1283. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1284. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1378. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1379. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1399. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1400. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1401. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1402. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 1403. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1436. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1437. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 1438. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 314. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag recovered at column 313. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 254. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 253. Dec 10 11:15: TRACE - Trace of aperture 110 in flat_fid_mag lost at column 252. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1458. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1459. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1462. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1463. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1464. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 1465. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1467. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1468. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 1469. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 287. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 286. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag recovered at column 285. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 260. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 259. Dec 10 11:15: TRACE - Trace of aperture 111 in flat_fid_mag lost at column 258. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1141. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1142. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1149. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1150. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1223. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1224. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1269. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1270. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1311. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1312. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1360. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1361. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1366. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1367. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1386. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1387. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 1388. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1398. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1399. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 1400. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 413. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag recovered at column 412. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 411. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 410. Dec 10 11:15: TRACE - Trace of aperture 112 in flat_fid_mag lost at column 409. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1148. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1149. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1187. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1188. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1189. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1236. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1237. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1238. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1239. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1240. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1241. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1263. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1264. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1265. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1276. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1277. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1278. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1302. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1303. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1330. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 1331. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1342. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1343. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 1344. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 460. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 459. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 410. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 409. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag recovered at column 408. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 379. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 378. Dec 10 11:15: TRACE - Trace of aperture 113 in flat_fid_mag lost at column 377. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 869. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 870. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 871. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1037. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1038. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 1039. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 647. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 646. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 645. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 555. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag recovered at column 554. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 530. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 529. Dec 10 11:15: TRACE - Trace of aperture 114 in flat_fid_mag lost at column 528. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 860. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 861. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 863. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 864. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 921. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 922. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 938. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 939. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 940. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 762. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 761. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag recovered at column 760. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 732. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 731. Dec 10 11:15: TRACE - Trace of aperture 115 in flat_fid_mag lost at column 730. Normalizing the superflat... flat_fid_mag.ec.fits -> nonorm_flat_fid_mag.ec.fits IMARITH: Operation = + Operand1 = nonorm_flat_fid_mag.ec.fits Operand2 = 23.3 Result = nonorm_flat_fid_mag_bias.fits Result pixel type = real Calculation type = real Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0017.fits Magnify image EchelleThAr.0017.fits to image EchelleThAr.0017.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0017.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0017.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0018.fits Magnify image EchelleThAr.0018.fits to image EchelleThAr.0018.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0018.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0018.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0023.fits Magnify image EchelleThAr.0023.fits to image EchelleThAr.0023.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0023.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0023.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0024.fits Magnify image EchelleThAr.0024.fits to image EchelleThAr.0024.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0024.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0024.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0028.fits Magnify image EchelleThAr.0028.fits to image EchelleThAr.0028.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0028.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0028.fits updated Applying model apertures to the arc and extracting spectra... Resampling the arc by a factor of 4 in the y direction... EchelleThAr.0029.fits Magnify image EchelleThAr.0029.fits to image EchelleThAr.0029.fits. Interpolation is linear. Boundary extension is nearest. Output coordinates in terms of input coordinates: x1 = 1., x2 = 1651., dx = 1. y1 = 1., y2 = 2048., dy = 0.25 EchelleThAr.0029.fits,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] EchelleThAr.0029.fits updated Applying model apertures to the arc and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130606.0019 Magnify image 130606.0019 to image 130606.0019. 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 130606.0019,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130606.0019 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130606.0019 -> noscat130606.0019 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130606.0020 Magnify image 130606.0020 to image 130606.0020. 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 130606.0020,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130606.0020 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130606.0020 -> noscat130606.0020 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130606.0021 Magnify image 130606.0021 to image 130606.0021. 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 130606.0021,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130606.0021 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130606.0021 -> noscat130606.0021 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:19: EXTRACT: WARNING - Aperture 1: Dec 10 11:19: Total variance weighted spectrum flux is 16671.64 Dec 10 11:19: Total unweighted spectrum flux is 5478.657 Dec 10 11:19: EXTRACT: Aperture 1 variance spectrum bias factor is 0.3286213 Resampling the object by a factor of 4 in the y direction... 130606.0022 Magnify image 130606.0022 to image 130606.0022. 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 130606.0022,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130606.0022 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130606.0022 -> noscat130606.0022 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Dec 10 11:21: EXTRACT: WARNING - Aperture 2: Dec 10 11:21: Total variance weighted spectrum flux is 13531.35 Dec 10 11:21: Total unweighted spectrum flux is 5665.339 Dec 10 11:21: EXTRACT: Aperture 2 variance spectrum bias factor is 0.4186825 Resampling the object by a factor of 4 in the y direction... 130606.0025 Magnify image 130606.0025 to image 130606.0025. 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 130606.0025,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130606.0025 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130606.0025 -> noscat130606.0025 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... Resampling the object by a factor of 4 in the y direction... 130606.0027 Magnify image 130606.0027 to image 130606.0027. 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 130606.0027,CCDSEC: [200:1850,1:2048] -> [200:1850,1:8189] 130606.0027 updated Applying model apertures to the object... Removing scattered inter-order light from the spectrum... 130606.0027 -> noscat130606.0027 Removing scattered light with apscatter... Fine-tuning apertures and extracting spectra... add EchelleThAr.0017.ec.fits,REFSPEC1 = EchelleThAr.0017.ec.fits EchelleThAr.0017.ec.fits updated add EchelleThAr.0018.ec.fits,REFSPEC1 = EchelleThAr.0018.ec.fits EchelleThAr.0018.ec.fits updated add EchelleThAr.0023.ec.fits,REFSPEC1 = EchelleThAr.0023.ec.fits EchelleThAr.0023.ec.fits updated add EchelleThAr.0024.ec.fits,REFSPEC1 = EchelleThAr.0024.ec.fits EchelleThAr.0024.ec.fits updated add EchelleThAr.0028.ec.fits,REFSPEC1 = EchelleThAr.0028.ec.fits EchelleThAr.0028.ec.fits updated add EchelleThAr.0029.ec.fits,REFSPEC1 = EchelleThAr.0029.ec.fits EchelleThAr.0029.ec.fits updated Flatfielding extracted arcs and object spectra... parameter EchelleThAr.0017.ec.fits,UTMIDDLE already exists EchelleThAr.0017.ec.fits updated EchelleThAr.0017.ec.fits,UTMIDDLE: 06:34:50.440 -> 06:35:24.440033 EchelleThAr.0017.ec.fits updated parameter EchelleThAr.0018.ec.fits,UTMIDDLE already exists EchelleThAr.0018.ec.fits updated EchelleThAr.0018.ec.fits,UTMIDDLE: 06:37:41.350 -> 06:38:15.349834 EchelleThAr.0018.ec.fits updated parameter EchelleThAr.0023.ec.fits,UTMIDDLE already exists EchelleThAr.0023.ec.fits updated EchelleThAr.0023.ec.fits,UTMIDDLE: 09:30:41.412 -> 09:31:15.411978 EchelleThAr.0023.ec.fits updated parameter EchelleThAr.0024.ec.fits,UTMIDDLE already exists EchelleThAr.0024.ec.fits updated EchelleThAr.0024.ec.fits,UTMIDDLE: 09:33:33.466 -> 09:34:07.466165 EchelleThAr.0024.ec.fits updated parameter EchelleThAr.0028.ec.fits,UTMIDDLE already exists EchelleThAr.0028.ec.fits updated EchelleThAr.0028.ec.fits,UTMIDDLE: 11:06:08.794 -> 11:06:42.793981 EchelleThAr.0028.ec.fits updated parameter EchelleThAr.0029.ec.fits,UTMIDDLE already exists EchelleThAr.0029.ec.fits updated EchelleThAr.0029.ec.fits,UTMIDDLE: 11:09:02.123 -> 11:09:36.122719 EchelleThAr.0029.ec.fits updated parameter 130606.0019.ec.fits,UTMIDDLE already exists 130606.0019.ec.fits updated 130606.0019.ec.fits,UTMIDDLE: 07:24:29.547 -> 07:25:03.547458 130606.0019.ec.fits updated parameter 130606.0020.ec.fits,UTMIDDLE already exists 130606.0020.ec.fits updated 130606.0020.ec.fits,UTMIDDLE: 08:01:49.050 -> 08:02:23.050797 130606.0020.ec.fits updated parameter 130606.0021.ec.fits,UTMIDDLE already exists 130606.0021.ec.fits updated 130606.0021.ec.fits,UTMIDDLE: 08:40:16.287 -> 08:40:50.286890 130606.0021.ec.fits updated parameter 130606.0022.ec.fits,UTMIDDLE already exists 130606.0022.ec.fits updated 130606.0022.ec.fits,UTMIDDLE: 09:12:50.198 -> 09:13:24.198057 130606.0022.ec.fits updated parameter 130606.0025.ec.fits,UTMIDDLE already exists 130606.0025.ec.fits updated 130606.0025.ec.fits,UTMIDDLE: 09:49:44.668 -> 09:50:18.667879 130606.0025.ec.fits updated parameter 130606.0027.ec.fits,UTMIDDLE already exists 130606.0027.ec.fits updated 130606.0027.ec.fits,UTMIDDLE: 10:55:01.419 -> 10:55:35.418832 130606.0027.ec.fits updated Setting Julian Date Keywords # Image jd hjd ljd # SETJD: Observatory parameters for Apache Point Observatory # timezone = 7 130606.0019.ec.fits 2456449.80907 2456449.81102 2456449 130606.0020.ec.fits 2456449.83499 2456449.83608 2456449 130606.0021.ec.fits 2456449.86169 2456449.86286 2456449 130606.0022.ec.fits 2456449.88431 2456449.88548 2456449 130606.0025.ec.fits 2456449.90994 2456449.91102 2456449 130606.0027.ec.fits 2456449.95527 2456449.95636 2456449 ECREIDENTIFY: NOAO/IRAF V2.16.1 jeanm12@tequila.nmsu.edu Tue 11:26:31 10-Dec-2013 Reference image = arcnewref.ec, Refit = yes Image Found Fit Pix Shift User Shift Z Shift RMS EchelleThAr.0017.ec 1108/2055 1108/1108 3.79 -27.8 -4.9E-5 0.0157 EchelleThAr.0018.ec 1956/2055 1956/1956 3.79 -27.8 -4.9E-5 0.0123 EchelleThAr.0023.ec 1107/2055 1107/1107 3.77 -27.6 -4.9E-5 0.0147 EchelleThAr.0024.ec 2004/2055 2004/2004 3.8 -27.9 -4.9E-5 0.0108 EchelleThAr.0028.ec 1055/2055 1055/1055 3.4 -24.9 -4.4E-5 0.0172 EchelleThAr.0029.ec 1988/2055 1988/1988 3.36 -24.6 -4.3E-5 0.0118 [130606.0019.ec] refspec1='EchelleThAr.0018.ec 0.72946233' [130606.0019.ec] refspec2='EchelleThAr.0023.ec 0.27053764' [130606.0020.ec] refspec1='EchelleThAr.0018.ec 0.51371187' [130606.0020.ec] refspec2='EchelleThAr.0023.ec 0.48628813' [130606.0021.ec] refspec1='EchelleThAr.0018.ec 0.29143614' [130606.0021.ec] refspec2='EchelleThAr.0023.ec 0.70856386' [130606.0022.ec] refspec1='EchelleThAr.0018.ec 0.10319918' [130606.0022.ec] refspec2='EchelleThAr.0023.ec 0.89680082' [130606.0025.ec] refspec1='EchelleThAr.0024.ec 0.82517654' [130606.0025.ec] refspec2='EchelleThAr.0028.ec 0.17482348' [130606.0027.ec] refspec1='EchelleThAr.0024.ec 0.12013245' [130606.0027.ec] refspec2='EchelleThAr.0028.ec 0.87986755' [EchelleThAr.0017.ec] refspec1='EchelleThAr.0017.ec' [EchelleThAr.0018.ec] refspec1='EchelleThAr.0018.ec' [EchelleThAr.0023.ec] refspec1='EchelleThAr.0023.ec' [EchelleThAr.0024.ec] refspec1='EchelleThAr.0024.ec' [EchelleThAr.0028.ec] refspec1='EchelleThAr.0028.ec' [EchelleThAr.0029.ec] refspec1='EchelleThAr.0029.ec' 130606.0019.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 0.72946233' 130606.0019.ec.fits: REFSPEC2 = 'EchelleThAr.0023.ec 0.27053764' 130606.0019.ec.fits: ap = 1, w1 = 10812.21, w2 = 10584.05, dw = -0.13828, nw = 1651 130606.0019.ec.fits: ap = 2, w1 = 10612., w2 = 10388.07, dw = -0.13571, nw = 1651 130606.0019.ec.fits: ap = 3, w1 = 10419.08, w2 = 10199.22, dw = -0.13325, nw = 1651 130606.0019.ec.fits: ap = 4, w1 = 10233.04, w2 = 10017.11, dw = -0.13087, nw = 1651 130606.0019.ec.fits: ap = 5, w1 = 10053.53, w2 = 9841.395, dw = -0.12857, nw = 1651 130606.0019.ec.fits: ap = 6, w1 = 9880.215, w2 = 9671.736, dw = -0.12635, nw = 1651 130606.0019.ec.fits: ap = 7, w1 = 9712.771, w2 = 9507.827, dw = -0.12421, nw = 1651 130606.0019.ec.fits: ap = 8, w1 = 9550.908, w2 = 9349.382, dw = -0.12214, nw = 1651 130606.0019.ec.fits: ap = 9, w1 = 9394.352, w2 = 9196.131, dw = -0.12013, nw = 1651 130606.0019.ec.fits: ap = 10, w1 = 9242.845, w2 = 9047.823, dw = -0.1182, nw = 1651 130606.0019.ec.fits: ap = 11, w1 = 9096.148, w2 = 8904.223, dw = -0.11632, nw = 1651 130606.0019.ec.fits: ap = 12, w1 = 8954.034, w2 = 8765.11, dw = -0.1145, nw = 1651 130606.0019.ec.fits: ap = 13, w1 = 8816.293, w2 = 8630.278, dw = -0.11274, nw = 1651 130606.0019.ec.fits: ap = 14, w1 = 8682.726, w2 = 8499.531, dw = -0.11103, nw = 1651 130606.0019.ec.fits: ap = 15, w1 = 8553.145, w2 = 8372.686, dw = -0.10937, nw = 1651 130606.0019.ec.fits: ap = 16, w1 = 8427.375, w2 = 8249.572, dw = -0.10776, nw = 1651 130606.0019.ec.fits: ap = 17, w1 = 8305.251, w2 = 8130.027, dw = -0.1062, nw = 1651 130606.0019.ec.fits: ap = 18, w1 = 8186.616, w2 = 8013.897, dw = -0.10468, nw = 1651 130606.0019.ec.fits: ap = 19, w1 = 8071.322, w2 = 7901.038, dw = -0.1032, nw = 1651 130606.0019.ec.fits: ap = 20, w1 = 7959.231, w2 = 7791.313, dw = -0.10177, nw = 1651 130606.0019.ec.fits: ap = 21, w1 = 7850.21, w2 = 7684.595, dw = -0.10037, nw = 1651 130606.0019.ec.fits: ap = 22, w1 = 7744.137, w2 = 7580.762, dw = -0.09902, nw = 1651 130606.0019.ec.fits: ap = 23, w1 = 7640.892, w2 = 7479.697, dw = -0.09769, nw = 1651 130606.0019.ec.fits: ap = 24, w1 = 7540.363, w2 = 7381.291, dw = -0.09641, nw = 1651 130606.0019.ec.fits: ap = 25, w1 = 7442.446, w2 = 7285.441, dw = -0.09515, nw = 1651 130606.0019.ec.fits: ap = 26, w1 = 7347.039, w2 = 7192.049, dw = -0.09393, nw = 1651 130606.0019.ec.fits: ap = 27, w1 = 7254.047, w2 = 7101.022, dw = -0.09274, nw = 1651 130606.0019.ec.fits: ap = 28, w1 = 7163.381, w2 = 7012.27, dw = -0.09158, nw = 1651 130606.0019.ec.fits: ap = 29, w1 = 7074.953, w2 = 6925.709, dw = -0.09045, nw = 1651 130606.0019.ec.fits: ap = 30, w1 = 6988.682, w2 = 6841.26, dw = -0.08935, nw = 1651 130606.0019.ec.fits: ap = 31, w1 = 6904.489, w2 = 6758.845, dw = -0.08827, nw = 1651 130606.0019.ec.fits: ap = 32, w1 = 6822.301, w2 = 6678.393, dw = -0.08722, nw = 1651 130606.0019.ec.fits: ap = 33, w1 = 6742.048, w2 = 6599.834, dw = -0.08619, nw = 1651 130606.0019.ec.fits: ap = 34, w1 = 6663.66, w2 = 6523.102, dw = -0.08519, nw = 1651 130606.0019.ec.fits: ap = 35, w1 = 6587.075, w2 = 6448.134, dw = -0.08421, nw = 1651 130606.0019.ec.fits: ap = 36, w1 = 6512.23, w2 = 6374.87, dw = -0.08325, nw = 1651 130606.0019.ec.fits: ap = 37, w1 = 6439.067, w2 = 6303.252, dw = -0.08231, nw = 1651 130606.0019.ec.fits: ap = 38, w1 = 6367.53, w2 = 6233.226, dw = -0.0814, nw = 1651 130606.0019.ec.fits: ap = 39, w1 = 6297.565, w2 = 6164.739, dw = -0.0805, nw = 1651 130606.0019.ec.fits: ap = 40, w1 = 6229.122, w2 = 6097.741, dw = -0.07962, nw = 1651 130606.0019.ec.fits: ap = 41, w1 = 6162.15, w2 = 6032.184, dw = -0.07877, nw = 1651 130606.0019.ec.fits: ap = 42, w1 = 6096.604, w2 = 5968.022, dw = -0.07793, nw = 1651 130606.0019.ec.fits: ap = 43, w1 = 6032.437, w2 = 5905.21, dw = -0.07711, nw = 1651 130606.0019.ec.fits: ap = 44, w1 = 5969.608, w2 = 5843.708, dw = -0.0763, nw = 1651 130606.0019.ec.fits: ap = 45, w1 = 5908.074, w2 = 5783.474, dw = -0.07552, nw = 1651 130606.0019.ec.fits: ap = 46, w1 = 5847.796, w2 = 5724.469, dw = -0.07474, nw = 1651 130606.0019.ec.fits: ap = 47, w1 = 5788.736, w2 = 5666.656, dw = -0.07399, nw = 1651 130606.0019.ec.fits: ap = 48, w1 = 5730.857, w2 = 5610., dw = -0.07325, nw = 1651 130606.0019.ec.fits: ap = 49, w1 = 5674.124, w2 = 5554.465, dw = -0.07252, nw = 1651 130606.0019.ec.fits: ap = 50, w1 = 5618.504, w2 = 5500.02, dw = -0.07181, nw = 1651 130606.0019.ec.fits: ap = 51, w1 = 5563.964, w2 = 5446.632, dw = -0.07111, nw = 1651 130606.0019.ec.fits: ap = 52, w1 = 5510.473, w2 = 5394.27, dw = -0.07043, nw = 1651 130606.0019.ec.fits: ap = 53, w1 = 5458.001, w2 = 5342.906, dw = -0.06975, nw = 1651 130606.0019.ec.fits: ap = 54, w1 = 5406.519, w2 = 5292.512, dw = -0.06909, nw = 1651 130606.0019.ec.fits: ap = 55, w1 = 5355.999, w2 = 5243.059, dw = -0.06845, nw = 1651 130606.0019.ec.fits: ap = 56, w1 = 5306.415, w2 = 5194.523, dw = -0.06781, nw = 1651 130606.0019.ec.fits: ap = 57, w1 = 5257.741, w2 = 5146.877, dw = -0.06719, nw = 1651 130606.0019.ec.fits: ap = 58, w1 = 5209.952, w2 = 5100.097, dw = -0.06658, nw = 1651 130606.0019.ec.fits: ap = 59, w1 = 5163.024, w2 = 5054.161, dw = -0.06598, nw = 1651 130606.0019.ec.fits: ap = 60, w1 = 5116.934, w2 = 5009.045, dw = -0.06539, nw = 1651 130606.0019.ec.fits: ap = 61, w1 = 5071.66, w2 = 4964.727, dw = -0.06481, nw = 1651 130606.0019.ec.fits: ap = 62, w1 = 5027.18, w2 = 4921.187, dw = -0.06424, nw = 1651 130606.0019.ec.fits: ap = 63, w1 = 4983.474, w2 = 4878.405, dw = -0.06368, nw = 1651 130606.0019.ec.fits: ap = 64, w1 = 4940.522, w2 = 4836.36, dw = -0.06313, nw = 1651 130606.0019.ec.fits: ap = 65, w1 = 4898.303, w2 = 4795.034, dw = -0.06259, nw = 1651 130606.0019.ec.fits: ap = 66, w1 = 4856.801, w2 = 4754.408, dw = -0.06206, nw = 1651 130606.0019.ec.fits: ap = 67, w1 = 4815.996, w2 = 4714.466, dw = -0.06153, nw = 1651 130606.0019.ec.fits: ap = 68, w1 = 4775.871, w2 = 4675.189, dw = -0.06102, nw = 1651 130606.0019.ec.fits: ap = 69, w1 = 4736.409, w2 = 4636.561, dw = -0.06051, nw = 1651 130606.0019.ec.fits: ap = 70, w1 = 4697.595, w2 = 4598.567, dw = -0.06002, nw = 1651 130606.0019.ec.fits: ap = 71, w1 = 4659.411, w2 = 4561.191, dw = -0.05953, nw = 1651 130606.0019.ec.fits: ap = 72, w1 = 4621.844, w2 = 4524.417, dw = -0.05905, nw = 1651 130606.0019.ec.fits: ap = 73, w1 = 4584.877, w2 = 4488.232, dw = -0.05857, nw = 1651 130606.0019.ec.fits: ap = 74, w1 = 4548.497, w2 = 4452.622, dw = -0.05811, nw = 1651 130606.0019.ec.fits: ap = 75, w1 = 4512.69, w2 = 4417.572, dw = -0.05765, nw = 1651 130606.0019.ec.fits: ap = 76, w1 = 4477.443, w2 = 4383.07, dw = -0.0572, nw = 1651 130606.0019.ec.fits: ap = 77, w1 = 4442.742, w2 = 4349.103, dw = -0.05675, nw = 1651 130606.0019.ec.fits: ap = 78, w1 = 4408.575, w2 = 4315.658, dw = -0.05631, nw = 1651 130606.0019.ec.fits: ap = 79, w1 = 4374.929, w2 = 4282.724, dw = -0.05588, nw = 1651 130606.0019.ec.fits: ap = 80, w1 = 4341.793, w2 = 4250.289, dw = -0.05546, nw = 1651 130606.0019.ec.fits: ap = 81, w1 = 4309.156, w2 = 4218.342, dw = -0.05504, nw = 1651 130606.0019.ec.fits: ap = 82, w1 = 4277.005, w2 = 4186.872, dw = -0.05463, nw = 1651 130606.0019.ec.fits: ap = 83, w1 = 4245.331, w2 = 4155.868, dw = -0.05422, nw = 1651 130606.0019.ec.fits: ap = 84, w1 = 4214.122, w2 = 4125.319, dw = -0.05382, nw = 1651 130606.0019.ec.fits: ap = 85, w1 = 4183.369, w2 = 4095.217, dw = -0.05343, nw = 1651 130606.0019.ec.fits: ap = 86, w1 = 4153.062, w2 = 4065.552, dw = -0.05304, nw = 1651 130606.0019.ec.fits: ap = 87, w1 = 4123.19, w2 = 4036.313, dw = -0.05265, nw = 1651 130606.0019.ec.fits: ap = 88, w1 = 4093.745, w2 = 4007.491, dw = -0.05228, nw = 1651 130606.0019.ec.fits: ap = 89, w1 = 4064.717, w2 = 3979.078, dw = -0.0519, nw = 1651 130606.0019.ec.fits: ap = 90, w1 = 4036.099, w2 = 3951.066, dw = -0.05154, nw = 1651 130606.0019.ec.fits: ap = 91, w1 = 4007.88, w2 = 3923.445, dw = -0.05117, nw = 1651 130606.0019.ec.fits: ap = 92, w1 = 3980.053, w2 = 3896.207, dw = -0.05082, nw = 1651 130606.0019.ec.fits: ap = 93, w1 = 3952.61, w2 = 3869.346, dw = -0.05046, nw = 1651 130606.0019.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.852, dw = -0.05012, nw = 1651 130606.0019.ec.fits: ap = 95, w1 = 3898.843, w2 = 3816.718, dw = -0.04977, nw = 1651 130606.0019.ec.fits: ap = 96, w1 = 3872.504, w2 = 3790.938, dw = -0.04943, nw = 1651 130606.0019.ec.fits: ap = 97, w1 = 3846.518, w2 = 3765.504, dw = -0.0491, nw = 1651 130606.0019.ec.fits: ap = 98, w1 = 3820.879, w2 = 3740.408, dw = -0.04877, nw = 1651 130606.0019.ec.fits: ap = 99, w1 = 3795.579, w2 = 3715.645, dw = -0.04844, nw = 1651 130606.0019.ec.fits: ap = 100, w1 = 3770.611, w2 = 3691.207, dw = -0.04812, nw = 1651 130606.0019.ec.fits: ap = 101, w1 = 3745.97, w2 = 3667.089, dw = -0.04781, nw = 1651 130606.0019.ec.fits: ap = 102, w1 = 3721.648, w2 = 3643.284, dw = -0.04749, nw = 1651 130606.0019.ec.fits: ap = 103, w1 = 3697.64, w2 = 3619.786, dw = -0.04718, nw = 1651 130606.0019.ec.fits: ap = 104, w1 = 3673.94, w2 = 3596.589, dw = -0.04688, nw = 1651 130606.0019.ec.fits: ap = 105, w1 = 3650.541, w2 = 3573.687, dw = -0.04658, nw = 1651 130606.0019.ec.fits: ap = 106, w1 = 3627.437, w2 = 3551.075, dw = -0.04628, nw = 1651 130606.0019.ec.fits: ap = 107, w1 = 3604.624, w2 = 3528.747, dw = -0.04599, nw = 1651 130606.0019.ec.fits: ap = 108, w1 = 3582.096, w2 = 3506.698, dw = -0.0457, nw = 1651 130606.0019.ec.fits: ap = 109, w1 = 3559.848, w2 = 3484.923, dw = -0.04541, nw = 1651 130606.0019.ec.fits: ap = 110, w1 = 3537.873, w2 = 3463.416, dw = -0.04513, nw = 1651 130606.0019.ec.fits: ap = 111, w1 = 3516.168, w2 = 3442.173, dw = -0.04485, nw = 1651 130606.0019.ec.fits: ap = 112, w1 = 3494.727, w2 = 3421.188, dw = -0.04457, nw = 1651 130606.0019.ec.fits: ap = 113, w1 = 3473.546, w2 = 3400.458, dw = -0.0443, nw = 1651 130606.0019.ec.fits: ap = 114, w1 = 3452.619, w2 = 3379.978, dw = -0.04403, nw = 1651 130606.0019.ec.fits: ap = 115, w1 = 3431.943, w2 = 3359.742, dw = -0.04376, nw = 1651 130606.0020.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 0.51371187' 130606.0020.ec.fits: REFSPEC2 = 'EchelleThAr.0023.ec 0.48628813' 130606.0020.ec.fits: ap = 1, w1 = 10812.2, w2 = 10584.05, dw = -0.13827, nw = 1651 130606.0020.ec.fits: ap = 2, w1 = 10612., w2 = 10388.07, dw = -0.13571, nw = 1651 130606.0020.ec.fits: ap = 3, w1 = 10419.07, w2 = 10199.22, dw = -0.13324, nw = 1651 130606.0020.ec.fits: ap = 4, w1 = 10233.04, w2 = 10017.11, dw = -0.13086, nw = 1651 130606.0020.ec.fits: ap = 5, w1 = 10053.53, w2 = 9841.396, dw = -0.12857, nw = 1651 130606.0020.ec.fits: ap = 6, w1 = 9880.213, w2 = 9671.736, dw = -0.12635, nw = 1651 130606.0020.ec.fits: ap = 7, w1 = 9712.769, w2 = 9507.827, dw = -0.12421, nw = 1651 130606.0020.ec.fits: ap = 8, w1 = 9550.906, w2 = 9349.382, dw = -0.12214, nw = 1651 130606.0020.ec.fits: ap = 9, w1 = 9394.35, w2 = 9196.131, dw = -0.12013, nw = 1651 130606.0020.ec.fits: ap = 10, w1 = 9242.843, w2 = 9047.823, dw = -0.11819, nw = 1651 130606.0020.ec.fits: ap = 11, w1 = 9096.146, w2 = 8904.223, dw = -0.11632, nw = 1651 130606.0020.ec.fits: ap = 12, w1 = 8954.033, w2 = 8765.11, dw = -0.1145, nw = 1651 130606.0020.ec.fits: ap = 13, w1 = 8816.292, w2 = 8630.278, dw = -0.11274, nw = 1651 130606.0020.ec.fits: ap = 14, w1 = 8682.724, w2 = 8499.531, dw = -0.11103, nw = 1651 130606.0020.ec.fits: ap = 15, w1 = 8553.144, w2 = 8372.686, dw = -0.10937, nw = 1651 130606.0020.ec.fits: ap = 16, w1 = 8427.374, w2 = 8249.572, dw = -0.10776, nw = 1651 130606.0020.ec.fits: ap = 17, w1 = 8305.25, w2 = 8130.027, dw = -0.1062, nw = 1651 130606.0020.ec.fits: ap = 18, w1 = 8186.615, w2 = 8013.897, dw = -0.10468, nw = 1651 130606.0020.ec.fits: ap = 19, w1 = 8071.321, w2 = 7901.038, dw = -0.1032, nw = 1651 130606.0020.ec.fits: ap = 20, w1 = 7959.23, w2 = 7791.314, dw = -0.10177, nw = 1651 130606.0020.ec.fits: ap = 21, w1 = 7850.21, w2 = 7684.596, dw = -0.10037, nw = 1651 130606.0020.ec.fits: ap = 22, w1 = 7744.136, w2 = 7580.762, dw = -0.09901, nw = 1651 130606.0020.ec.fits: ap = 23, w1 = 7640.891, w2 = 7479.697, dw = -0.09769, nw = 1651 130606.0020.ec.fits: ap = 24, w1 = 7540.362, w2 = 7381.291, dw = -0.09641, nw = 1651 130606.0020.ec.fits: ap = 25, w1 = 7442.445, w2 = 7285.442, dw = -0.09515, nw = 1651 130606.0020.ec.fits: ap = 26, w1 = 7347.038, w2 = 7192.05, dw = -0.09393, nw = 1651 130606.0020.ec.fits: ap = 27, w1 = 7254.047, w2 = 7101.022, dw = -0.09274, nw = 1651 130606.0020.ec.fits: ap = 28, w1 = 7163.38, w2 = 7012.27, dw = -0.09158, nw = 1651 130606.0020.ec.fits: ap = 29, w1 = 7074.952, w2 = 6925.709, dw = -0.09045, nw = 1651 130606.0020.ec.fits: ap = 30, w1 = 6988.68, w2 = 6841.26, dw = -0.08935, nw = 1651 130606.0020.ec.fits: ap = 31, w1 = 6904.488, w2 = 6758.846, dw = -0.08827, nw = 1651 130606.0020.ec.fits: ap = 32, w1 = 6822.3, w2 = 6678.393, dw = -0.08722, nw = 1651 130606.0020.ec.fits: ap = 33, w1 = 6742.046, w2 = 6599.834, dw = -0.08619, nw = 1651 130606.0020.ec.fits: ap = 34, w1 = 6663.658, w2 = 6523.102, dw = -0.08519, nw = 1651 130606.0020.ec.fits: ap = 35, w1 = 6587.073, w2 = 6448.134, dw = -0.08421, nw = 1651 130606.0020.ec.fits: ap = 36, w1 = 6512.228, w2 = 6374.87, dw = -0.08325, nw = 1651 130606.0020.ec.fits: ap = 37, w1 = 6439.065, w2 = 6303.252, dw = -0.08231, nw = 1651 130606.0020.ec.fits: ap = 38, w1 = 6367.528, w2 = 6233.226, dw = -0.0814, nw = 1651 130606.0020.ec.fits: ap = 39, w1 = 6297.563, w2 = 6164.739, dw = -0.0805, nw = 1651 130606.0020.ec.fits: ap = 40, w1 = 6229.12, w2 = 6097.741, dw = -0.07962, nw = 1651 130606.0020.ec.fits: ap = 41, w1 = 6162.148, w2 = 6032.183, dw = -0.07877, nw = 1651 130606.0020.ec.fits: ap = 42, w1 = 6096.601, w2 = 5968.021, dw = -0.07793, nw = 1651 130606.0020.ec.fits: ap = 43, w1 = 6032.435, w2 = 5905.21, dw = -0.07711, nw = 1651 130606.0020.ec.fits: ap = 44, w1 = 5969.605, w2 = 5843.708, dw = -0.0763, nw = 1651 130606.0020.ec.fits: ap = 45, w1 = 5908.071, w2 = 5783.473, dw = -0.07551, nw = 1651 130606.0020.ec.fits: ap = 46, w1 = 5847.793, w2 = 5724.468, dw = -0.07474, nw = 1651 130606.0020.ec.fits: ap = 47, w1 = 5788.733, w2 = 5666.655, dw = -0.07399, nw = 1651 130606.0020.ec.fits: ap = 48, w1 = 5730.853, w2 = 5609.998, dw = -0.07325, nw = 1651 130606.0020.ec.fits: ap = 49, w1 = 5674.121, w2 = 5554.464, dw = -0.07252, nw = 1651 130606.0020.ec.fits: ap = 50, w1 = 5618.5, w2 = 5500.018, dw = -0.07181, nw = 1651 130606.0020.ec.fits: ap = 51, w1 = 5563.96, w2 = 5446.63, dw = -0.07111, nw = 1651 130606.0020.ec.fits: ap = 52, w1 = 5510.469, w2 = 5394.269, dw = -0.07042, nw = 1651 130606.0020.ec.fits: ap = 53, w1 = 5457.996, w2 = 5342.905, dw = -0.06975, nw = 1651 130606.0020.ec.fits: ap = 54, w1 = 5406.514, w2 = 5292.51, dw = -0.06909, nw = 1651 130606.0020.ec.fits: ap = 55, w1 = 5355.994, w2 = 5243.058, dw = -0.06845, nw = 1651 130606.0020.ec.fits: ap = 56, w1 = 5306.41, w2 = 5194.521, dw = -0.06781, nw = 1651 130606.0020.ec.fits: ap = 57, w1 = 5257.736, w2 = 5146.875, dw = -0.06719, nw = 1651 130606.0020.ec.fits: ap = 58, w1 = 5209.947, w2 = 5100.096, dw = -0.06658, nw = 1651 130606.0020.ec.fits: ap = 59, w1 = 5163.019, w2 = 5054.159, dw = -0.06598, nw = 1651 130606.0020.ec.fits: ap = 60, w1 = 5116.929, w2 = 5009.043, dw = -0.06539, nw = 1651 130606.0020.ec.fits: ap = 61, w1 = 5071.655, w2 = 4964.726, dw = -0.06481, nw = 1651 130606.0020.ec.fits: ap = 62, w1 = 5027.175, w2 = 4921.186, dw = -0.06424, nw = 1651 130606.0020.ec.fits: ap = 63, w1 = 4983.469, w2 = 4878.403, dw = -0.06368, nw = 1651 130606.0020.ec.fits: ap = 64, w1 = 4940.517, w2 = 4836.359, dw = -0.06313, nw = 1651 130606.0020.ec.fits: ap = 65, w1 = 4898.298, w2 = 4795.033, dw = -0.06259, nw = 1651 130606.0020.ec.fits: ap = 66, w1 = 4856.796, w2 = 4754.407, dw = -0.06205, nw = 1651 130606.0020.ec.fits: ap = 67, w1 = 4815.991, w2 = 4714.465, dw = -0.06153, nw = 1651 130606.0020.ec.fits: ap = 68, w1 = 4775.866, w2 = 4675.188, dw = -0.06102, nw = 1651 130606.0020.ec.fits: ap = 69, w1 = 4736.405, w2 = 4636.561, dw = -0.06051, nw = 1651 130606.0020.ec.fits: ap = 70, w1 = 4697.59, w2 = 4598.567, dw = -0.06001, nw = 1651 130606.0020.ec.fits: ap = 71, w1 = 4659.406, w2 = 4561.191, dw = -0.05952, nw = 1651 130606.0020.ec.fits: ap = 72, w1 = 4621.839, w2 = 4524.418, dw = -0.05904, nw = 1651 130606.0020.ec.fits: ap = 73, w1 = 4584.872, w2 = 4488.233, dw = -0.05857, nw = 1651 130606.0020.ec.fits: ap = 74, w1 = 4548.493, w2 = 4452.623, dw = -0.0581, nw = 1651 130606.0020.ec.fits: ap = 75, w1 = 4512.686, w2 = 4417.573, dw = -0.05764, nw = 1651 130606.0020.ec.fits: ap = 76, w1 = 4477.439, w2 = 4383.072, dw = -0.05719, nw = 1651 130606.0020.ec.fits: ap = 77, w1 = 4442.738, w2 = 4349.105, dw = -0.05675, nw = 1651 130606.0020.ec.fits: ap = 78, w1 = 4408.571, w2 = 4315.661, dw = -0.05631, nw = 1651 130606.0020.ec.fits: ap = 79, w1 = 4374.925, w2 = 4282.727, dw = -0.05588, nw = 1651 130606.0020.ec.fits: ap = 80, w1 = 4341.79, w2 = 4250.293, dw = -0.05545, nw = 1651 130606.0020.ec.fits: ap = 81, w1 = 4309.152, w2 = 4218.347, dw = -0.05503, nw = 1651 130606.0020.ec.fits: ap = 82, w1 = 4277.002, w2 = 4186.877, dw = -0.05462, nw = 1651 130606.0020.ec.fits: ap = 83, w1 = 4245.328, w2 = 4155.874, dw = -0.05421, nw = 1651 130606.0020.ec.fits: ap = 84, w1 = 4214.119, w2 = 4125.326, dw = -0.05381, nw = 1651 130606.0020.ec.fits: ap = 85, w1 = 4183.367, w2 = 4095.225, dw = -0.05342, nw = 1651 130606.0020.ec.fits: ap = 86, w1 = 4153.06, w2 = 4065.56, dw = -0.05303, nw = 1651 130606.0020.ec.fits: ap = 87, w1 = 4123.189, w2 = 4036.322, dw = -0.05265, nw = 1651 130606.0020.ec.fits: ap = 88, w1 = 4093.744, w2 = 4007.501, dw = -0.05227, nw = 1651 130606.0020.ec.fits: ap = 89, w1 = 4064.717, w2 = 3979.089, dw = -0.0519, nw = 1651 130606.0020.ec.fits: ap = 90, w1 = 4036.099, w2 = 3951.078, dw = -0.05153, nw = 1651 130606.0020.ec.fits: ap = 91, w1 = 4007.88, w2 = 3923.458, dw = -0.05117, nw = 1651 130606.0020.ec.fits: ap = 92, w1 = 3980.054, w2 = 3896.222, dw = -0.05081, nw = 1651 130606.0020.ec.fits: ap = 93, w1 = 3952.611, w2 = 3869.361, dw = -0.05045, nw = 1651 130606.0020.ec.fits: ap = 94, w1 = 3925.544, w2 = 3842.869, dw = -0.05011, nw = 1651 130606.0020.ec.fits: ap = 95, w1 = 3898.845, w2 = 3816.736, dw = -0.04976, nw = 1651 130606.0020.ec.fits: ap = 96, w1 = 3872.507, w2 = 3790.957, dw = -0.04942, nw = 1651 130606.0020.ec.fits: ap = 97, w1 = 3846.522, w2 = 3765.524, dw = -0.04909, nw = 1651 130606.0020.ec.fits: ap = 98, w1 = 3820.883, w2 = 3740.43, dw = -0.04876, nw = 1651 130606.0020.ec.fits: ap = 99, w1 = 3795.584, w2 = 3715.669, dw = -0.04843, nw = 1651 130606.0020.ec.fits: ap = 100, w1 = 3770.617, w2 = 3691.233, dw = -0.04811, nw = 1651 130606.0020.ec.fits: ap = 101, w1 = 3745.976, w2 = 3667.116, dw = -0.04779, nw = 1651 130606.0020.ec.fits: ap = 102, w1 = 3721.656, w2 = 3643.313, dw = -0.04748, nw = 1651 130606.0020.ec.fits: ap = 103, w1 = 3697.648, w2 = 3619.816, dw = -0.04717, nw = 1651 130606.0020.ec.fits: ap = 104, w1 = 3673.949, w2 = 3596.621, dw = -0.04687, nw = 1651 130606.0020.ec.fits: ap = 105, w1 = 3650.551, w2 = 3573.722, dw = -0.04656, nw = 1651 130606.0020.ec.fits: ap = 106, w1 = 3627.448, w2 = 3551.111, dw = -0.04626, nw = 1651 130606.0020.ec.fits: ap = 107, w1 = 3604.636, w2 = 3528.786, dw = -0.04597, nw = 1651 130606.0020.ec.fits: ap = 108, w1 = 3582.109, w2 = 3506.739, dw = -0.04568, nw = 1651 130606.0020.ec.fits: ap = 109, w1 = 3559.862, w2 = 3484.966, dw = -0.04539, nw = 1651 130606.0020.ec.fits: ap = 110, w1 = 3537.888, w2 = 3463.462, dw = -0.04511, nw = 1651 130606.0020.ec.fits: ap = 111, w1 = 3516.184, w2 = 3442.221, dw = -0.04483, nw = 1651 130606.0020.ec.fits: ap = 112, w1 = 3494.745, w2 = 3421.239, dw = -0.04455, nw = 1651 130606.0020.ec.fits: ap = 113, w1 = 3473.564, w2 = 3400.512, dw = -0.04427, nw = 1651 130606.0020.ec.fits: ap = 114, w1 = 3452.639, w2 = 3380.034, dw = -0.044, nw = 1651 130606.0020.ec.fits: ap = 115, w1 = 3431.964, w2 = 3359.801, dw = -0.04374, nw = 1651 130606.0021.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 0.29143614' 130606.0021.ec.fits: REFSPEC2 = 'EchelleThAr.0023.ec 0.70856386' 130606.0021.ec.fits: ap = 1, w1 = 10812.2, w2 = 10584.05, dw = -0.13827, nw = 1651 130606.0021.ec.fits: ap = 2, w1 = 10611.99, w2 = 10388.07, dw = -0.13571, nw = 1651 130606.0021.ec.fits: ap = 3, w1 = 10419.07, w2 = 10199.22, dw = -0.13324, nw = 1651 130606.0021.ec.fits: ap = 4, w1 = 10233.04, w2 = 10017.11, dw = -0.13086, nw = 1651 130606.0021.ec.fits: ap = 5, w1 = 10053.53, w2 = 9841.396, dw = -0.12856, nw = 1651 130606.0021.ec.fits: ap = 6, w1 = 9880.21, w2 = 9671.737, dw = -0.12635, nw = 1651 130606.0021.ec.fits: ap = 7, w1 = 9712.767, w2 = 9507.828, dw = -0.12421, nw = 1651 130606.0021.ec.fits: ap = 8, w1 = 9550.904, w2 = 9349.382, dw = -0.12213, nw = 1651 130606.0021.ec.fits: ap = 9, w1 = 9394.348, w2 = 9196.131, dw = -0.12013, nw = 1651 130606.0021.ec.fits: ap = 10, w1 = 9242.842, w2 = 9047.823, dw = -0.11819, nw = 1651 130606.0021.ec.fits: ap = 11, w1 = 9096.145, w2 = 8904.223, dw = -0.11632, nw = 1651 130606.0021.ec.fits: ap = 12, w1 = 8954.031, w2 = 8765.111, dw = -0.1145, nw = 1651 130606.0021.ec.fits: ap = 13, w1 = 8816.291, w2 = 8630.278, dw = -0.11273, nw = 1651 130606.0021.ec.fits: ap = 14, w1 = 8682.723, w2 = 8499.531, dw = -0.11103, nw = 1651 130606.0021.ec.fits: ap = 15, w1 = 8553.143, w2 = 8372.687, dw = -0.10937, nw = 1651 130606.0021.ec.fits: ap = 16, w1 = 8427.374, w2 = 8249.573, dw = -0.10776, nw = 1651 130606.0021.ec.fits: ap = 17, w1 = 8305.249, w2 = 8130.027, dw = -0.1062, nw = 1651 130606.0021.ec.fits: ap = 18, w1 = 8186.614, w2 = 8013.897, dw = -0.10468, nw = 1651 130606.0021.ec.fits: ap = 19, w1 = 8071.321, w2 = 7901.038, dw = -0.1032, nw = 1651 130606.0021.ec.fits: ap = 20, w1 = 7959.229, w2 = 7791.314, dw = -0.10177, nw = 1651 130606.0021.ec.fits: ap = 21, w1 = 7850.209, w2 = 7684.596, dw = -0.10037, nw = 1651 130606.0021.ec.fits: ap = 22, w1 = 7744.136, w2 = 7580.762, dw = -0.09901, nw = 1651 130606.0021.ec.fits: ap = 23, w1 = 7640.89, w2 = 7479.697, dw = -0.09769, nw = 1651 130606.0021.ec.fits: ap = 24, w1 = 7540.361, w2 = 7381.292, dw = -0.09641, nw = 1651 130606.0021.ec.fits: ap = 25, w1 = 7442.444, w2 = 7285.442, dw = -0.09515, nw = 1651 130606.0021.ec.fits: ap = 26, w1 = 7347.037, w2 = 7192.05, dw = -0.09393, nw = 1651 130606.0021.ec.fits: ap = 27, w1 = 7254.046, w2 = 7101.022, dw = -0.09274, nw = 1651 130606.0021.ec.fits: ap = 28, w1 = 7163.379, w2 = 7012.27, dw = -0.09158, nw = 1651 130606.0021.ec.fits: ap = 29, w1 = 7074.951, w2 = 6925.71, dw = -0.09045, nw = 1651 130606.0021.ec.fits: ap = 30, w1 = 6988.679, w2 = 6841.26, dw = -0.08934, nw = 1651 130606.0021.ec.fits: ap = 31, w1 = 6904.487, w2 = 6758.846, dw = -0.08827, nw = 1651 130606.0021.ec.fits: ap = 32, w1 = 6822.299, w2 = 6678.393, dw = -0.08722, nw = 1651 130606.0021.ec.fits: ap = 33, w1 = 6742.045, w2 = 6599.834, dw = -0.08619, nw = 1651 130606.0021.ec.fits: ap = 34, w1 = 6663.657, w2 = 6523.102, dw = -0.08518, nw = 1651 130606.0021.ec.fits: ap = 35, w1 = 6587.071, w2 = 6448.134, dw = -0.0842, nw = 1651 130606.0021.ec.fits: ap = 36, w1 = 6512.226, w2 = 6374.87, dw = -0.08325, nw = 1651 130606.0021.ec.fits: ap = 37, w1 = 6439.063, w2 = 6303.252, dw = -0.08231, nw = 1651 130606.0021.ec.fits: ap = 38, w1 = 6367.526, w2 = 6233.226, dw = -0.08139, nw = 1651 130606.0021.ec.fits: ap = 39, w1 = 6297.561, w2 = 6164.739, dw = -0.0805, nw = 1651 130606.0021.ec.fits: ap = 40, w1 = 6229.117, w2 = 6097.74, dw = -0.07962, nw = 1651 130606.0021.ec.fits: ap = 41, w1 = 6162.145, w2 = 6032.183, dw = -0.07877, nw = 1651 130606.0021.ec.fits: ap = 42, w1 = 6096.599, w2 = 5968.021, dw = -0.07793, nw = 1651 130606.0021.ec.fits: ap = 43, w1 = 6032.432, w2 = 5905.209, dw = -0.0771, nw = 1651 130606.0021.ec.fits: ap = 44, w1 = 5969.602, w2 = 5843.707, dw = -0.0763, nw = 1651 130606.0021.ec.fits: ap = 45, w1 = 5908.068, w2 = 5783.472, dw = -0.07551, nw = 1651 130606.0021.ec.fits: ap = 46, w1 = 5847.79, w2 = 5724.467, dw = -0.07474, nw = 1651 130606.0021.ec.fits: ap = 47, w1 = 5788.729, w2 = 5666.654, dw = -0.07398, nw = 1651 130606.0021.ec.fits: ap = 48, w1 = 5730.85, w2 = 5609.997, dw = -0.07324, nw = 1651 130606.0021.ec.fits: ap = 49, w1 = 5674.117, w2 = 5554.463, dw = -0.07252, nw = 1651 130606.0021.ec.fits: ap = 50, w1 = 5618.496, w2 = 5500.017, dw = -0.07181, nw = 1651 130606.0021.ec.fits: ap = 51, w1 = 5563.956, w2 = 5446.629, dw = -0.07111, nw = 1651 130606.0021.ec.fits: ap = 52, w1 = 5510.464, w2 = 5394.267, dw = -0.07042, nw = 1651 130606.0021.ec.fits: ap = 53, w1 = 5457.992, w2 = 5342.903, dw = -0.06975, nw = 1651 130606.0021.ec.fits: ap = 54, w1 = 5406.51, w2 = 5292.509, dw = -0.06909, nw = 1651 130606.0021.ec.fits: ap = 55, w1 = 5355.99, w2 = 5243.056, dw = -0.06844, nw = 1651 130606.0021.ec.fits: ap = 56, w1 = 5306.406, w2 = 5194.519, dw = -0.06781, nw = 1651 130606.0021.ec.fits: ap = 57, w1 = 5257.731, w2 = 5146.873, dw = -0.06719, nw = 1651 130606.0021.ec.fits: ap = 58, w1 = 5209.942, w2 = 5100.094, dw = -0.06657, nw = 1651 130606.0021.ec.fits: ap = 59, w1 = 5163.014, w2 = 5054.157, dw = -0.06597, nw = 1651 130606.0021.ec.fits: ap = 60, w1 = 5116.924, w2 = 5009.041, dw = -0.06538, nw = 1651 130606.0021.ec.fits: ap = 61, w1 = 5071.65, w2 = 4964.724, dw = -0.0648, nw = 1651 130606.0021.ec.fits: ap = 62, w1 = 5027.17, w2 = 4921.184, dw = -0.06423, nw = 1651 130606.0021.ec.fits: ap = 63, w1 = 4983.464, w2 = 4878.402, dw = -0.06367, nw = 1651 130606.0021.ec.fits: ap = 64, w1 = 4940.511, w2 = 4836.357, dw = -0.06312, nw = 1651 130606.0021.ec.fits: ap = 65, w1 = 4898.293, w2 = 4795.031, dw = -0.06258, nw = 1651 130606.0021.ec.fits: ap = 66, w1 = 4856.791, w2 = 4754.406, dw = -0.06205, nw = 1651 130606.0021.ec.fits: ap = 67, w1 = 4815.986, w2 = 4714.464, dw = -0.06153, nw = 1651 130606.0021.ec.fits: ap = 68, w1 = 4775.861, w2 = 4675.187, dw = -0.06101, nw = 1651 130606.0021.ec.fits: ap = 69, w1 = 4736.399, w2 = 4636.56, dw = -0.06051, nw = 1651 130606.0021.ec.fits: ap = 70, w1 = 4697.585, w2 = 4598.566, dw = -0.06001, nw = 1651 130606.0021.ec.fits: ap = 71, w1 = 4659.401, w2 = 4561.191, dw = -0.05952, nw = 1651 130606.0021.ec.fits: ap = 72, w1 = 4621.834, w2 = 4524.418, dw = -0.05904, nw = 1651 130606.0021.ec.fits: ap = 73, w1 = 4584.868, w2 = 4488.233, dw = -0.05857, nw = 1651 130606.0021.ec.fits: ap = 74, w1 = 4548.488, w2 = 4452.623, dw = -0.0581, nw = 1651 130606.0021.ec.fits: ap = 75, w1 = 4512.681, w2 = 4417.574, dw = -0.05764, nw = 1651 130606.0021.ec.fits: ap = 76, w1 = 4477.434, w2 = 4383.073, dw = -0.05719, nw = 1651 130606.0021.ec.fits: ap = 77, w1 = 4442.734, w2 = 4349.107, dw = -0.05674, nw = 1651 130606.0021.ec.fits: ap = 78, w1 = 4408.567, w2 = 4315.664, dw = -0.05631, nw = 1651 130606.0021.ec.fits: ap = 79, w1 = 4374.922, w2 = 4282.731, dw = -0.05587, nw = 1651 130606.0021.ec.fits: ap = 80, w1 = 4341.786, w2 = 4250.297, dw = -0.05545, nw = 1651 130606.0021.ec.fits: ap = 81, w1 = 4309.149, w2 = 4218.351, dw = -0.05503, nw = 1651 130606.0021.ec.fits: ap = 82, w1 = 4276.999, w2 = 4186.882, dw = -0.05462, nw = 1651 130606.0021.ec.fits: ap = 83, w1 = 4245.325, w2 = 4155.879, dw = -0.05421, nw = 1651 130606.0021.ec.fits: ap = 84, w1 = 4214.117, w2 = 4125.333, dw = -0.05381, nw = 1651 130606.0021.ec.fits: ap = 85, w1 = 4183.365, w2 = 4095.232, dw = -0.05341, nw = 1651 130606.0021.ec.fits: ap = 86, w1 = 4153.058, w2 = 4065.568, dw = -0.05302, nw = 1651 130606.0021.ec.fits: ap = 87, w1 = 4123.187, w2 = 4036.331, dw = -0.05264, nw = 1651 130606.0021.ec.fits: ap = 88, w1 = 4093.743, w2 = 4007.511, dw = -0.05226, nw = 1651 130606.0021.ec.fits: ap = 89, w1 = 4064.716, w2 = 3979.1, dw = -0.05189, nw = 1651 130606.0021.ec.fits: ap = 90, w1 = 4036.098, w2 = 3951.09, dw = -0.05152, nw = 1651 130606.0021.ec.fits: ap = 91, w1 = 4007.881, w2 = 3923.471, dw = -0.05116, nw = 1651 130606.0021.ec.fits: ap = 92, w1 = 3980.055, w2 = 3896.236, dw = -0.0508, nw = 1651 130606.0021.ec.fits: ap = 93, w1 = 3952.613, w2 = 3869.377, dw = -0.05045, nw = 1651 130606.0021.ec.fits: ap = 94, w1 = 3925.546, w2 = 3842.886, dw = -0.0501, nw = 1651 130606.0021.ec.fits: ap = 95, w1 = 3898.848, w2 = 3816.755, dw = -0.04975, nw = 1651 130606.0021.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.977, dw = -0.04941, nw = 1651 130606.0021.ec.fits: ap = 97, w1 = 3846.526, w2 = 3765.546, dw = -0.04908, nw = 1651 130606.0021.ec.fits: ap = 98, w1 = 3820.888, w2 = 3740.453, dw = -0.04875, nw = 1651 130606.0021.ec.fits: ap = 99, w1 = 3795.589, w2 = 3715.693, dw = -0.04842, nw = 1651 130606.0021.ec.fits: ap = 100, w1 = 3770.623, w2 = 3691.259, dw = -0.0481, nw = 1651 130606.0021.ec.fits: ap = 101, w1 = 3745.983, w2 = 3667.144, dw = -0.04778, nw = 1651 130606.0021.ec.fits: ap = 102, w1 = 3721.663, w2 = 3643.343, dw = -0.04747, nw = 1651 130606.0021.ec.fits: ap = 103, w1 = 3697.657, w2 = 3619.848, dw = -0.04716, nw = 1651 130606.0021.ec.fits: ap = 104, w1 = 3673.958, w2 = 3596.655, dw = -0.04685, nw = 1651 130606.0021.ec.fits: ap = 105, w1 = 3650.561, w2 = 3573.757, dw = -0.04655, nw = 1651 130606.0021.ec.fits: ap = 106, w1 = 3627.46, w2 = 3551.149, dw = -0.04625, nw = 1651 130606.0021.ec.fits: ap = 107, w1 = 3604.649, w2 = 3528.826, dw = -0.04595, nw = 1651 130606.0021.ec.fits: ap = 108, w1 = 3582.122, w2 = 3506.781, dw = -0.04566, nw = 1651 130606.0021.ec.fits: ap = 109, w1 = 3559.876, w2 = 3485.011, dw = -0.04537, nw = 1651 130606.0021.ec.fits: ap = 110, w1 = 3537.904, w2 = 3463.509, dw = -0.04509, nw = 1651 130606.0021.ec.fits: ap = 111, w1 = 3516.201, w2 = 3442.271, dw = -0.04481, nw = 1651 130606.0021.ec.fits: ap = 112, w1 = 3494.762, w2 = 3421.292, dw = -0.04453, nw = 1651 130606.0021.ec.fits: ap = 113, w1 = 3473.583, w2 = 3400.567, dw = -0.04425, nw = 1651 130606.0021.ec.fits: ap = 114, w1 = 3452.659, w2 = 3380.092, dw = -0.04398, nw = 1651 130606.0021.ec.fits: ap = 115, w1 = 3431.985, w2 = 3359.862, dw = -0.04371, nw = 1651 130606.0022.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 0.10319918' 130606.0022.ec.fits: REFSPEC2 = 'EchelleThAr.0023.ec 0.89680082' 130606.0022.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584.05, dw = -0.13827, nw = 1651 130606.0022.ec.fits: ap = 2, w1 = 10611.99, w2 = 10388.07, dw = -0.13571, nw = 1651 130606.0022.ec.fits: ap = 3, w1 = 10419.07, w2 = 10199.22, dw = -0.13324, nw = 1651 130606.0022.ec.fits: ap = 4, w1 = 10233.03, w2 = 10017.12, dw = -0.13086, nw = 1651 130606.0022.ec.fits: ap = 5, w1 = 10053.53, w2 = 9841.397, dw = -0.12856, nw = 1651 130606.0022.ec.fits: ap = 6, w1 = 9880.208, w2 = 9671.737, dw = -0.12635, nw = 1651 130606.0022.ec.fits: ap = 7, w1 = 9712.764, w2 = 9507.828, dw = -0.1242, nw = 1651 130606.0022.ec.fits: ap = 8, w1 = 9550.902, w2 = 9349.382, dw = -0.12213, nw = 1651 130606.0022.ec.fits: ap = 9, w1 = 9394.346, w2 = 9196.131, dw = -0.12013, nw = 1651 130606.0022.ec.fits: ap = 10, w1 = 9242.84, w2 = 9047.823, dw = -0.11819, nw = 1651 130606.0022.ec.fits: ap = 11, w1 = 9096.143, w2 = 8904.223, dw = -0.11632, nw = 1651 130606.0022.ec.fits: ap = 12, w1 = 8954.03, w2 = 8765.111, dw = -0.1145, nw = 1651 130606.0022.ec.fits: ap = 13, w1 = 8816.29, w2 = 8630.278, dw = -0.11273, nw = 1651 130606.0022.ec.fits: ap = 14, w1 = 8682.723, w2 = 8499.531, dw = -0.11103, nw = 1651 130606.0022.ec.fits: ap = 15, w1 = 8553.142, w2 = 8372.687, dw = -0.10937, nw = 1651 130606.0022.ec.fits: ap = 16, w1 = 8427.373, w2 = 8249.573, dw = -0.10776, nw = 1651 130606.0022.ec.fits: ap = 17, w1 = 8305.249, w2 = 8130.027, dw = -0.10619, nw = 1651 130606.0022.ec.fits: ap = 18, w1 = 8186.614, w2 = 8013.897, dw = -0.10468, nw = 1651 130606.0022.ec.fits: ap = 19, w1 = 8071.32, w2 = 7901.038, dw = -0.1032, nw = 1651 130606.0022.ec.fits: ap = 20, w1 = 7959.229, w2 = 7791.314, dw = -0.10177, nw = 1651 130606.0022.ec.fits: ap = 21, w1 = 7850.209, w2 = 7684.596, dw = -0.10037, nw = 1651 130606.0022.ec.fits: ap = 22, w1 = 7744.135, w2 = 7580.762, dw = -0.09901, nw = 1651 130606.0022.ec.fits: ap = 23, w1 = 7640.889, w2 = 7479.697, dw = -0.09769, nw = 1651 130606.0022.ec.fits: ap = 24, w1 = 7540.361, w2 = 7381.292, dw = -0.09641, nw = 1651 130606.0022.ec.fits: ap = 25, w1 = 7442.443, w2 = 7285.442, dw = -0.09515, nw = 1651 130606.0022.ec.fits: ap = 26, w1 = 7347.036, w2 = 7192.05, dw = -0.09393, nw = 1651 130606.0022.ec.fits: ap = 27, w1 = 7254.045, w2 = 7101.022, dw = -0.09274, nw = 1651 130606.0022.ec.fits: ap = 28, w1 = 7163.378, w2 = 7012.27, dw = -0.09158, nw = 1651 130606.0022.ec.fits: ap = 29, w1 = 7074.95, w2 = 6925.71, dw = -0.09045, nw = 1651 130606.0022.ec.fits: ap = 30, w1 = 6988.678, w2 = 6841.26, dw = -0.08934, nw = 1651 130606.0022.ec.fits: ap = 31, w1 = 6904.486, w2 = 6758.846, dw = -0.08827, nw = 1651 130606.0022.ec.fits: ap = 32, w1 = 6822.297, w2 = 6678.394, dw = -0.08721, nw = 1651 130606.0022.ec.fits: ap = 33, w1 = 6742.043, w2 = 6599.834, dw = -0.08619, nw = 1651 130606.0022.ec.fits: ap = 34, w1 = 6663.655, w2 = 6523.102, dw = -0.08518, nw = 1651 130606.0022.ec.fits: ap = 35, w1 = 6587.07, w2 = 6448.134, dw = -0.0842, nw = 1651 130606.0022.ec.fits: ap = 36, w1 = 6512.225, w2 = 6374.87, dw = -0.08325, nw = 1651 130606.0022.ec.fits: ap = 37, w1 = 6439.061, w2 = 6303.252, dw = -0.08231, nw = 1651 130606.0022.ec.fits: ap = 38, w1 = 6367.524, w2 = 6233.226, dw = -0.08139, nw = 1651 130606.0022.ec.fits: ap = 39, w1 = 6297.559, w2 = 6164.738, dw = -0.0805, nw = 1651 130606.0022.ec.fits: ap = 40, w1 = 6229.115, w2 = 6097.74, dw = -0.07962, nw = 1651 130606.0022.ec.fits: ap = 41, w1 = 6162.143, w2 = 6032.183, dw = -0.07876, nw = 1651 130606.0022.ec.fits: ap = 42, w1 = 6096.596, w2 = 5968.02, dw = -0.07792, nw = 1651 130606.0022.ec.fits: ap = 43, w1 = 6032.43, w2 = 5905.209, dw = -0.0771, nw = 1651 130606.0022.ec.fits: ap = 44, w1 = 5969.6, w2 = 5843.706, dw = -0.0763, nw = 1651 130606.0022.ec.fits: ap = 45, w1 = 5908.065, w2 = 5783.471, dw = -0.07551, nw = 1651 130606.0022.ec.fits: ap = 46, w1 = 5847.787, w2 = 5724.466, dw = -0.07474, nw = 1651 130606.0022.ec.fits: ap = 47, w1 = 5788.726, w2 = 5666.653, dw = -0.07398, nw = 1651 130606.0022.ec.fits: ap = 48, w1 = 5730.847, w2 = 5609.996, dw = -0.07324, nw = 1651 130606.0022.ec.fits: ap = 49, w1 = 5674.114, w2 = 5554.461, dw = -0.07252, nw = 1651 130606.0022.ec.fits: ap = 50, w1 = 5618.493, w2 = 5500.016, dw = -0.0718, nw = 1651 130606.0022.ec.fits: ap = 51, w1 = 5563.952, w2 = 5446.627, dw = -0.07111, nw = 1651 130606.0022.ec.fits: ap = 52, w1 = 5510.461, w2 = 5394.266, dw = -0.07042, nw = 1651 130606.0022.ec.fits: ap = 53, w1 = 5457.988, w2 = 5342.902, dw = -0.06975, nw = 1651 130606.0022.ec.fits: ap = 54, w1 = 5406.506, w2 = 5292.507, dw = -0.06909, nw = 1651 130606.0022.ec.fits: ap = 55, w1 = 5355.986, w2 = 5243.055, dw = -0.06844, nw = 1651 130606.0022.ec.fits: ap = 56, w1 = 5306.402, w2 = 5194.518, dw = -0.06781, nw = 1651 130606.0022.ec.fits: ap = 57, w1 = 5257.727, w2 = 5146.872, dw = -0.06718, nw = 1651 130606.0022.ec.fits: ap = 58, w1 = 5209.938, w2 = 5100.092, dw = -0.06657, nw = 1651 130606.0022.ec.fits: ap = 59, w1 = 5163.01, w2 = 5054.156, dw = -0.06597, nw = 1651 130606.0022.ec.fits: ap = 60, w1 = 5116.92, w2 = 5009.04, dw = -0.06538, nw = 1651 130606.0022.ec.fits: ap = 61, w1 = 5071.645, w2 = 4964.723, dw = -0.0648, nw = 1651 130606.0022.ec.fits: ap = 62, w1 = 5027.166, w2 = 4921.183, dw = -0.06423, nw = 1651 130606.0022.ec.fits: ap = 63, w1 = 4983.459, w2 = 4878.4, dw = -0.06367, nw = 1651 130606.0022.ec.fits: ap = 64, w1 = 4940.507, w2 = 4836.356, dw = -0.06312, nw = 1651 130606.0022.ec.fits: ap = 65, w1 = 4898.289, w2 = 4795.03, dw = -0.06258, nw = 1651 130606.0022.ec.fits: ap = 66, w1 = 4856.786, w2 = 4754.405, dw = -0.06205, nw = 1651 130606.0022.ec.fits: ap = 67, w1 = 4815.981, w2 = 4714.463, dw = -0.06153, nw = 1651 130606.0022.ec.fits: ap = 68, w1 = 4775.856, w2 = 4675.187, dw = -0.06101, nw = 1651 130606.0022.ec.fits: ap = 69, w1 = 4736.395, w2 = 4636.56, dw = -0.06051, nw = 1651 130606.0022.ec.fits: ap = 70, w1 = 4697.58, w2 = 4598.566, dw = -0.06001, nw = 1651 130606.0022.ec.fits: ap = 71, w1 = 4659.397, w2 = 4561.191, dw = -0.05952, nw = 1651 130606.0022.ec.fits: ap = 72, w1 = 4621.83, w2 = 4524.418, dw = -0.05904, nw = 1651 130606.0022.ec.fits: ap = 73, w1 = 4584.863, w2 = 4488.234, dw = -0.05856, nw = 1651 130606.0022.ec.fits: ap = 74, w1 = 4548.484, w2 = 4452.624, dw = -0.0581, nw = 1651 130606.0022.ec.fits: ap = 75, w1 = 4512.677, w2 = 4417.576, dw = -0.05764, nw = 1651 130606.0022.ec.fits: ap = 76, w1 = 4477.43, w2 = 4383.075, dw = -0.05719, nw = 1651 130606.0022.ec.fits: ap = 77, w1 = 4442.73, w2 = 4349.109, dw = -0.05674, nw = 1651 130606.0022.ec.fits: ap = 78, w1 = 4408.563, w2 = 4315.666, dw = -0.0563, nw = 1651 130606.0022.ec.fits: ap = 79, w1 = 4374.918, w2 = 4282.734, dw = -0.05587, nw = 1651 130606.0022.ec.fits: ap = 80, w1 = 4341.783, w2 = 4250.3, dw = -0.05544, nw = 1651 130606.0022.ec.fits: ap = 81, w1 = 4309.146, w2 = 4218.355, dw = -0.05503, nw = 1651 130606.0022.ec.fits: ap = 82, w1 = 4276.996, w2 = 4186.887, dw = -0.05461, nw = 1651 130606.0022.ec.fits: ap = 83, w1 = 4245.323, w2 = 4155.884, dw = -0.05421, nw = 1651 130606.0022.ec.fits: ap = 84, w1 = 4214.115, w2 = 4125.338, dw = -0.0538, nw = 1651 130606.0022.ec.fits: ap = 85, w1 = 4183.363, w2 = 4095.239, dw = -0.05341, nw = 1651 130606.0022.ec.fits: ap = 86, w1 = 4153.056, w2 = 4065.575, dw = -0.05302, nw = 1651 130606.0022.ec.fits: ap = 87, w1 = 4123.186, w2 = 4036.338, dw = -0.05263, nw = 1651 130606.0022.ec.fits: ap = 88, w1 = 4093.742, w2 = 4007.52, dw = -0.05226, nw = 1651 130606.0022.ec.fits: ap = 89, w1 = 4064.716, w2 = 3979.11, dw = -0.05188, nw = 1651 130606.0022.ec.fits: ap = 90, w1 = 4036.098, w2 = 3951.1, dw = -0.05151, nw = 1651 130606.0022.ec.fits: ap = 91, w1 = 4007.881, w2 = 3923.483, dw = -0.05115, nw = 1651 130606.0022.ec.fits: ap = 92, w1 = 3980.056, w2 = 3896.249, dw = -0.05079, nw = 1651 130606.0022.ec.fits: ap = 93, w1 = 3952.614, w2 = 3869.39, dw = -0.05044, nw = 1651 130606.0022.ec.fits: ap = 94, w1 = 3925.548, w2 = 3842.9, dw = -0.05009, nw = 1651 130606.0022.ec.fits: ap = 95, w1 = 3898.85, w2 = 3816.77, dw = -0.04975, nw = 1651 130606.0022.ec.fits: ap = 96, w1 = 3872.513, w2 = 3790.994, dw = -0.04941, nw = 1651 130606.0022.ec.fits: ap = 97, w1 = 3846.529, w2 = 3765.564, dw = -0.04907, nw = 1651 130606.0022.ec.fits: ap = 98, w1 = 3820.892, w2 = 3740.473, dw = -0.04874, nw = 1651 130606.0022.ec.fits: ap = 99, w1 = 3795.594, w2 = 3715.714, dw = -0.04841, nw = 1651 130606.0022.ec.fits: ap = 100, w1 = 3770.628, w2 = 3691.281, dw = -0.04809, nw = 1651 130606.0022.ec.fits: ap = 101, w1 = 3745.989, w2 = 3667.168, dw = -0.04777, nw = 1651 130606.0022.ec.fits: ap = 102, w1 = 3721.67, w2 = 3643.368, dw = -0.04746, nw = 1651 130606.0022.ec.fits: ap = 103, w1 = 3697.664, w2 = 3619.875, dw = -0.04714, nw = 1651 130606.0022.ec.fits: ap = 104, w1 = 3673.966, w2 = 3596.684, dw = -0.04684, nw = 1651 130606.0022.ec.fits: ap = 105, w1 = 3650.57, w2 = 3573.788, dw = -0.04653, nw = 1651 130606.0022.ec.fits: ap = 106, w1 = 3627.469, w2 = 3551.181, dw = -0.04623, nw = 1651 130606.0022.ec.fits: ap = 107, w1 = 3604.659, w2 = 3528.86, dw = -0.04594, nw = 1651 130606.0022.ec.fits: ap = 108, w1 = 3582.134, w2 = 3506.817, dw = -0.04565, nw = 1651 130606.0022.ec.fits: ap = 109, w1 = 3559.888, w2 = 3485.049, dw = -0.04536, nw = 1651 130606.0022.ec.fits: ap = 110, w1 = 3537.917, w2 = 3463.549, dw = -0.04507, nw = 1651 130606.0022.ec.fits: ap = 111, w1 = 3516.215, w2 = 3442.313, dw = -0.04479, nw = 1651 130606.0022.ec.fits: ap = 112, w1 = 3494.777, w2 = 3421.336, dw = -0.04451, nw = 1651 130606.0022.ec.fits: ap = 113, w1 = 3473.599, w2 = 3400.613, dw = -0.04423, nw = 1651 130606.0022.ec.fits: ap = 114, w1 = 3452.676, w2 = 3380.141, dw = -0.04396, nw = 1651 130606.0022.ec.fits: ap = 115, w1 = 3432.003, w2 = 3359.913, dw = -0.04369, nw = 1651 130606.0025.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.82517654' 130606.0025.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.17482348' 130606.0025.ec.fits: ap = 1, w1 = 10812.25, w2 = 10584.07, dw = -0.13829, nw = 1651 130606.0025.ec.fits: ap = 2, w1 = 10612.04, w2 = 10388.09, dw = -0.13572, nw = 1651 130606.0025.ec.fits: ap = 3, w1 = 10419.11, w2 = 10199.24, dw = -0.13325, nw = 1651 130606.0025.ec.fits: ap = 4, w1 = 10233.07, w2 = 10017.13, dw = -0.13087, nw = 1651 130606.0025.ec.fits: ap = 5, w1 = 10053.55, w2 = 9841.409, dw = -0.12857, nw = 1651 130606.0025.ec.fits: ap = 6, w1 = 9880.232, w2 = 9671.748, dw = -0.12635, nw = 1651 130606.0025.ec.fits: ap = 7, w1 = 9712.785, w2 = 9507.837, dw = -0.12421, nw = 1651 130606.0025.ec.fits: ap = 8, w1 = 9550.919, w2 = 9349.39, dw = -0.12214, nw = 1651 130606.0025.ec.fits: ap = 9, w1 = 9394.359, w2 = 9196.137, dw = -0.12013, nw = 1651 130606.0025.ec.fits: ap = 10, w1 = 9242.85, w2 = 9047.828, dw = -0.1182, nw = 1651 130606.0025.ec.fits: ap = 11, w1 = 9096.151, w2 = 8904.227, dw = -0.11632, nw = 1651 130606.0025.ec.fits: ap = 12, w1 = 8954.036, w2 = 8765.113, dw = -0.1145, nw = 1651 130606.0025.ec.fits: ap = 13, w1 = 8816.293, w2 = 8630.279, dw = -0.11274, nw = 1651 130606.0025.ec.fits: ap = 14, w1 = 8682.724, w2 = 8499.531, dw = -0.11103, nw = 1651 130606.0025.ec.fits: ap = 15, w1 = 8553.143, w2 = 8372.685, dw = -0.10937, nw = 1651 130606.0025.ec.fits: ap = 16, w1 = 8427.372, w2 = 8249.571, dw = -0.10776, nw = 1651 130606.0025.ec.fits: ap = 17, w1 = 8305.247, w2 = 8130.024, dw = -0.1062, nw = 1651 130606.0025.ec.fits: ap = 18, w1 = 8186.611, w2 = 8013.893, dw = -0.10468, nw = 1651 130606.0025.ec.fits: ap = 19, w1 = 8071.317, w2 = 7901.034, dw = -0.1032, nw = 1651 130606.0025.ec.fits: ap = 20, w1 = 7959.225, w2 = 7791.308, dw = -0.10177, nw = 1651 130606.0025.ec.fits: ap = 21, w1 = 7850.205, w2 = 7684.59, dw = -0.10037, nw = 1651 130606.0025.ec.fits: ap = 22, w1 = 7744.131, w2 = 7580.755, dw = -0.09902, nw = 1651 130606.0025.ec.fits: ap = 23, w1 = 7640.886, w2 = 7479.69, dw = -0.09769, nw = 1651 130606.0025.ec.fits: ap = 24, w1 = 7540.357, w2 = 7381.284, dw = -0.09641, nw = 1651 130606.0025.ec.fits: ap = 25, w1 = 7442.44, w2 = 7285.434, dw = -0.09516, nw = 1651 130606.0025.ec.fits: ap = 26, w1 = 7347.034, w2 = 7192.042, dw = -0.09393, nw = 1651 130606.0025.ec.fits: ap = 27, w1 = 7254.043, w2 = 7101.014, dw = -0.09274, nw = 1651 130606.0025.ec.fits: ap = 28, w1 = 7163.377, w2 = 7012.262, dw = -0.09158, nw = 1651 130606.0025.ec.fits: ap = 29, w1 = 7074.949, w2 = 6925.702, dw = -0.09045, nw = 1651 130606.0025.ec.fits: ap = 30, w1 = 6988.678, w2 = 6841.252, dw = -0.08935, nw = 1651 130606.0025.ec.fits: ap = 31, w1 = 6904.486, w2 = 6758.838, dw = -0.08827, nw = 1651 130606.0025.ec.fits: ap = 32, w1 = 6822.299, w2 = 6678.386, dw = -0.08722, nw = 1651 130606.0025.ec.fits: ap = 33, w1 = 6742.045, w2 = 6599.827, dw = -0.08619, nw = 1651 130606.0025.ec.fits: ap = 34, w1 = 6663.658, w2 = 6523.095, dw = -0.08519, nw = 1651 130606.0025.ec.fits: ap = 35, w1 = 6587.073, w2 = 6448.127, dw = -0.08421, nw = 1651 130606.0025.ec.fits: ap = 36, w1 = 6512.229, w2 = 6374.863, dw = -0.08325, nw = 1651 130606.0025.ec.fits: ap = 37, w1 = 6439.067, w2 = 6303.245, dw = -0.08232, nw = 1651 130606.0025.ec.fits: ap = 38, w1 = 6367.53, w2 = 6233.219, dw = -0.0814, nw = 1651 130606.0025.ec.fits: ap = 39, w1 = 6297.566, w2 = 6164.732, dw = -0.08051, nw = 1651 130606.0025.ec.fits: ap = 40, w1 = 6229.123, w2 = 6097.734, dw = -0.07963, nw = 1651 130606.0025.ec.fits: ap = 41, w1 = 6162.151, w2 = 6032.178, dw = -0.07877, nw = 1651 130606.0025.ec.fits: ap = 42, w1 = 6096.606, w2 = 5968.016, dw = -0.07793, nw = 1651 130606.0025.ec.fits: ap = 43, w1 = 6032.44, w2 = 5905.205, dw = -0.07711, nw = 1651 130606.0025.ec.fits: ap = 44, w1 = 5969.61, w2 = 5843.703, dw = -0.07631, nw = 1651 130606.0025.ec.fits: ap = 45, w1 = 5908.077, w2 = 5783.469, dw = -0.07552, nw = 1651 130606.0025.ec.fits: ap = 46, w1 = 5847.799, w2 = 5724.464, dw = -0.07475, nw = 1651 130606.0025.ec.fits: ap = 47, w1 = 5788.739, w2 = 5666.651, dw = -0.07399, nw = 1651 130606.0025.ec.fits: ap = 48, w1 = 5730.86, w2 = 5609.995, dw = -0.07325, nw = 1651 130606.0025.ec.fits: ap = 49, w1 = 5674.127, w2 = 5554.461, dw = -0.07253, nw = 1651 130606.0025.ec.fits: ap = 50, w1 = 5618.507, w2 = 5500.015, dw = -0.07181, nw = 1651 130606.0025.ec.fits: ap = 51, w1 = 5563.967, w2 = 5446.627, dw = -0.07111, nw = 1651 130606.0025.ec.fits: ap = 52, w1 = 5510.476, w2 = 5394.266, dw = -0.07043, nw = 1651 130606.0025.ec.fits: ap = 53, w1 = 5458.003, w2 = 5342.903, dw = -0.06976, nw = 1651 130606.0025.ec.fits: ap = 54, w1 = 5406.521, w2 = 5292.508, dw = -0.0691, nw = 1651 130606.0025.ec.fits: ap = 55, w1 = 5356.002, w2 = 5243.056, dw = -0.06845, nw = 1651 130606.0025.ec.fits: ap = 56, w1 = 5306.417, w2 = 5194.519, dw = -0.06782, nw = 1651 130606.0025.ec.fits: ap = 57, w1 = 5257.743, w2 = 5146.874, dw = -0.06719, nw = 1651 130606.0025.ec.fits: ap = 58, w1 = 5209.954, w2 = 5100.094, dw = -0.06658, nw = 1651 130606.0025.ec.fits: ap = 59, w1 = 5163.026, w2 = 5054.158, dw = -0.06598, nw = 1651 130606.0025.ec.fits: ap = 60, w1 = 5116.936, w2 = 5009.042, dw = -0.06539, nw = 1651 130606.0025.ec.fits: ap = 61, w1 = 5071.662, w2 = 4964.724, dw = -0.06481, nw = 1651 130606.0025.ec.fits: ap = 62, w1 = 5027.182, w2 = 4921.184, dw = -0.06424, nw = 1651 130606.0025.ec.fits: ap = 63, w1 = 4983.475, w2 = 4878.402, dw = -0.06368, nw = 1651 130606.0025.ec.fits: ap = 64, w1 = 4940.523, w2 = 4836.357, dw = -0.06313, nw = 1651 130606.0025.ec.fits: ap = 65, w1 = 4898.304, w2 = 4795.031, dw = -0.06259, nw = 1651 130606.0025.ec.fits: ap = 66, w1 = 4856.801, w2 = 4754.405, dw = -0.06206, nw = 1651 130606.0025.ec.fits: ap = 67, w1 = 4815.996, w2 = 4714.462, dw = -0.06154, nw = 1651 130606.0025.ec.fits: ap = 68, w1 = 4775.871, w2 = 4675.185, dw = -0.06102, nw = 1651 130606.0025.ec.fits: ap = 69, w1 = 4736.409, w2 = 4636.558, dw = -0.06052, nw = 1651 130606.0025.ec.fits: ap = 70, w1 = 4697.594, w2 = 4598.563, dw = -0.06002, nw = 1651 130606.0025.ec.fits: ap = 71, w1 = 4659.41, w2 = 4561.186, dw = -0.05953, nw = 1651 130606.0025.ec.fits: ap = 72, w1 = 4621.842, w2 = 4524.413, dw = -0.05905, nw = 1651 130606.0025.ec.fits: ap = 73, w1 = 4584.875, w2 = 4488.227, dw = -0.05857, nw = 1651 130606.0025.ec.fits: ap = 74, w1 = 4548.495, w2 = 4452.616, dw = -0.05811, nw = 1651 130606.0025.ec.fits: ap = 75, w1 = 4512.688, w2 = 4417.566, dw = -0.05765, nw = 1651 130606.0025.ec.fits: ap = 76, w1 = 4477.44, w2 = 4383.064, dw = -0.0572, nw = 1651 130606.0025.ec.fits: ap = 77, w1 = 4442.739, w2 = 4349.096, dw = -0.05675, nw = 1651 130606.0025.ec.fits: ap = 78, w1 = 4408.572, w2 = 4315.651, dw = -0.05632, nw = 1651 130606.0025.ec.fits: ap = 79, w1 = 4374.926, w2 = 4282.716, dw = -0.05588, nw = 1651 130606.0025.ec.fits: ap = 80, w1 = 4341.789, w2 = 4250.28, dw = -0.05546, nw = 1651 130606.0025.ec.fits: ap = 81, w1 = 4309.152, w2 = 4218.333, dw = -0.05504, nw = 1651 130606.0025.ec.fits: ap = 82, w1 = 4277.001, w2 = 4186.862, dw = -0.05463, nw = 1651 130606.0025.ec.fits: ap = 83, w1 = 4245.327, w2 = 4155.857, dw = -0.05422, nw = 1651 130606.0025.ec.fits: ap = 84, w1 = 4214.119, w2 = 4125.309, dw = -0.05382, nw = 1651 130606.0025.ec.fits: ap = 85, w1 = 4183.365, w2 = 4095.205, dw = -0.05343, nw = 1651 130606.0025.ec.fits: ap = 86, w1 = 4153.058, w2 = 4065.538, dw = -0.05304, nw = 1651 130606.0025.ec.fits: ap = 87, w1 = 4123.186, w2 = 4036.298, dw = -0.05266, nw = 1651 130606.0025.ec.fits: ap = 88, w1 = 4093.742, w2 = 4007.476, dw = -0.05228, nw = 1651 130606.0025.ec.fits: ap = 89, w1 = 4064.714, w2 = 3979.062, dw = -0.05191, nw = 1651 130606.0025.ec.fits: ap = 90, w1 = 4036.096, w2 = 3951.048, dw = -0.05154, nw = 1651 130606.0025.ec.fits: ap = 91, w1 = 4007.878, w2 = 3923.426, dw = -0.05118, nw = 1651 130606.0025.ec.fits: ap = 92, w1 = 3980.051, w2 = 3896.187, dw = -0.05083, nw = 1651 130606.0025.ec.fits: ap = 93, w1 = 3952.608, w2 = 3869.324, dw = -0.05048, nw = 1651 130606.0025.ec.fits: ap = 94, w1 = 3925.541, w2 = 3842.829, dw = -0.05013, nw = 1651 130606.0025.ec.fits: ap = 95, w1 = 3898.842, w2 = 3816.694, dw = -0.04979, nw = 1651 130606.0025.ec.fits: ap = 96, w1 = 3872.504, w2 = 3790.912, dw = -0.04945, nw = 1651 130606.0025.ec.fits: ap = 97, w1 = 3846.519, w2 = 3765.476, dw = -0.04912, nw = 1651 130606.0025.ec.fits: ap = 98, w1 = 3820.881, w2 = 3740.379, dw = -0.04879, nw = 1651 130606.0025.ec.fits: ap = 99, w1 = 3795.582, w2 = 3715.614, dw = -0.04847, nw = 1651 130606.0025.ec.fits: ap = 100, w1 = 3770.616, w2 = 3691.175, dw = -0.04815, nw = 1651 130606.0025.ec.fits: ap = 101, w1 = 3745.976, w2 = 3667.055, dw = -0.04783, nw = 1651 130606.0025.ec.fits: ap = 102, w1 = 3721.655, w2 = 3643.248, dw = -0.04752, nw = 1651 130606.0025.ec.fits: ap = 103, w1 = 3697.649, w2 = 3619.748, dw = -0.04721, nw = 1651 130606.0025.ec.fits: ap = 104, w1 = 3673.95, w2 = 3596.549, dw = -0.04691, nw = 1651 130606.0025.ec.fits: ap = 105, w1 = 3650.552, w2 = 3573.645, dw = -0.04661, nw = 1651 130606.0025.ec.fits: ap = 106, w1 = 3627.451, w2 = 3551.031, dw = -0.04632, nw = 1651 130606.0025.ec.fits: ap = 107, w1 = 3604.64, w2 = 3528.701, dw = -0.04602, nw = 1651 130606.0025.ec.fits: ap = 108, w1 = 3582.114, w2 = 3506.649, dw = -0.04574, nw = 1651 130606.0025.ec.fits: ap = 109, w1 = 3559.868, w2 = 3484.872, dw = -0.04545, nw = 1651 130606.0025.ec.fits: ap = 110, w1 = 3537.896, w2 = 3463.362, dw = -0.04517, nw = 1651 130606.0025.ec.fits: ap = 111, w1 = 3516.193, w2 = 3442.117, dw = -0.04489, nw = 1651 130606.0025.ec.fits: ap = 112, w1 = 3494.755, w2 = 3421.13, dw = -0.04462, nw = 1651 130606.0025.ec.fits: ap = 113, w1 = 3473.576, w2 = 3400.397, dw = -0.04435, nw = 1651 130606.0025.ec.fits: ap = 114, w1 = 3452.652, w2 = 3379.914, dw = -0.04408, nw = 1651 130606.0025.ec.fits: ap = 115, w1 = 3431.979, w2 = 3359.675, dw = -0.04382, nw = 1651 130606.0027.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 0.12013245' 130606.0027.ec.fits: REFSPEC2 = 'EchelleThAr.0028.ec 0.87986755' 130606.0027.ec.fits: ap = 1, w1 = 10812.17, w2 = 10584.04, dw = -0.13826, nw = 1651 130606.0027.ec.fits: ap = 2, w1 = 10611.96, w2 = 10388.06, dw = -0.1357, nw = 1651 130606.0027.ec.fits: ap = 3, w1 = 10419.03, w2 = 10199.2, dw = -0.13323, nw = 1651 130606.0027.ec.fits: ap = 4, w1 = 10232.99, w2 = 10017.09, dw = -0.13085, nw = 1651 130606.0027.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.372, dw = -0.12855, nw = 1651 130606.0027.ec.fits: ap = 6, w1 = 9880.162, w2 = 9671.71, dw = -0.12633, nw = 1651 130606.0027.ec.fits: ap = 7, w1 = 9712.717, w2 = 9507.799, dw = -0.12419, nw = 1651 130606.0027.ec.fits: ap = 8, w1 = 9550.854, w2 = 9349.352, dw = -0.12212, nw = 1651 130606.0027.ec.fits: ap = 9, w1 = 9394.297, w2 = 9196.099, dw = -0.12012, nw = 1651 130606.0027.ec.fits: ap = 10, w1 = 9242.791, w2 = 9047.79, dw = -0.11818, nw = 1651 130606.0027.ec.fits: ap = 11, w1 = 9096.094, w2 = 8904.189, dw = -0.11631, nw = 1651 130606.0027.ec.fits: ap = 12, w1 = 8953.981, w2 = 8765.075, dw = -0.11449, nw = 1651 130606.0027.ec.fits: ap = 13, w1 = 8816.241, w2 = 8630.242, dw = -0.11273, nw = 1651 130606.0027.ec.fits: ap = 14, w1 = 8682.675, w2 = 8499.494, dw = -0.11102, nw = 1651 130606.0027.ec.fits: ap = 15, w1 = 8553.096, w2 = 8372.65, dw = -0.10936, nw = 1651 130606.0027.ec.fits: ap = 16, w1 = 8427.328, w2 = 8249.536, dw = -0.10775, nw = 1651 130606.0027.ec.fits: ap = 17, w1 = 8305.205, w2 = 8129.99, dw = -0.10619, nw = 1651 130606.0027.ec.fits: ap = 18, w1 = 8186.571, w2 = 8013.86, dw = -0.10467, nw = 1651 130606.0027.ec.fits: ap = 19, w1 = 8071.28, w2 = 7901.001, dw = -0.1032, nw = 1651 130606.0027.ec.fits: ap = 20, w1 = 7959.19, w2 = 7791.277, dw = -0.10177, nw = 1651 130606.0027.ec.fits: ap = 21, w1 = 7850.171, w2 = 7684.559, dw = -0.10037, nw = 1651 130606.0027.ec.fits: ap = 22, w1 = 7744.099, w2 = 7580.726, dw = -0.09901, nw = 1651 130606.0027.ec.fits: ap = 23, w1 = 7640.856, w2 = 7479.661, dw = -0.09769, nw = 1651 130606.0027.ec.fits: ap = 24, w1 = 7540.329, w2 = 7381.256, dw = -0.09641, nw = 1651 130606.0027.ec.fits: ap = 25, w1 = 7442.413, w2 = 7285.407, dw = -0.09516, nw = 1651 130606.0027.ec.fits: ap = 26, w1 = 7347.008, w2 = 7192.015, dw = -0.09393, nw = 1651 130606.0027.ec.fits: ap = 27, w1 = 7254.018, w2 = 7100.988, dw = -0.09275, nw = 1651 130606.0027.ec.fits: ap = 28, w1 = 7163.352, w2 = 7012.237, dw = -0.09159, nw = 1651 130606.0027.ec.fits: ap = 29, w1 = 7074.925, w2 = 6925.677, dw = -0.09045, nw = 1651 130606.0027.ec.fits: ap = 30, w1 = 6988.655, w2 = 6841.228, dw = -0.08935, nw = 1651 130606.0027.ec.fits: ap = 31, w1 = 6904.464, w2 = 6758.814, dw = -0.08827, nw = 1651 130606.0027.ec.fits: ap = 32, w1 = 6822.277, w2 = 6678.362, dw = -0.08722, nw = 1651 130606.0027.ec.fits: ap = 33, w1 = 6742.024, w2 = 6599.803, dw = -0.08619, nw = 1651 130606.0027.ec.fits: ap = 34, w1 = 6663.637, w2 = 6523.072, dw = -0.08519, nw = 1651 130606.0027.ec.fits: ap = 35, w1 = 6587.052, w2 = 6448.104, dw = -0.08421, nw = 1651 130606.0027.ec.fits: ap = 36, w1 = 6512.208, w2 = 6374.84, dw = -0.08325, nw = 1651 130606.0027.ec.fits: ap = 37, w1 = 6439.046, w2 = 6303.223, dw = -0.08232, nw = 1651 130606.0027.ec.fits: ap = 38, w1 = 6367.509, w2 = 6233.197, dw = -0.0814, nw = 1651 130606.0027.ec.fits: ap = 39, w1 = 6297.544, w2 = 6164.71, dw = -0.08051, nw = 1651 130606.0027.ec.fits: ap = 40, w1 = 6229.101, w2 = 6097.712, dw = -0.07963, nw = 1651 130606.0027.ec.fits: ap = 41, w1 = 6162.129, w2 = 6032.155, dw = -0.07877, nw = 1651 130606.0027.ec.fits: ap = 42, w1 = 6096.582, w2 = 5967.993, dw = -0.07793, nw = 1651 130606.0027.ec.fits: ap = 43, w1 = 6032.416, w2 = 5905.182, dw = -0.07711, nw = 1651 130606.0027.ec.fits: ap = 44, w1 = 5969.586, w2 = 5843.679, dw = -0.07631, nw = 1651 130606.0027.ec.fits: ap = 45, w1 = 5908.051, w2 = 5783.445, dw = -0.07552, nw = 1651 130606.0027.ec.fits: ap = 46, w1 = 5847.772, w2 = 5724.44, dw = -0.07475, nw = 1651 130606.0027.ec.fits: ap = 47, w1 = 5788.711, w2 = 5666.626, dw = -0.07399, nw = 1651 130606.0027.ec.fits: ap = 48, w1 = 5730.831, w2 = 5609.97, dw = -0.07325, nw = 1651 130606.0027.ec.fits: ap = 49, w1 = 5674.098, w2 = 5554.435, dw = -0.07252, nw = 1651 130606.0027.ec.fits: ap = 50, w1 = 5618.477, w2 = 5499.989, dw = -0.07181, nw = 1651 130606.0027.ec.fits: ap = 51, w1 = 5563.935, w2 = 5446.601, dw = -0.07111, nw = 1651 130606.0027.ec.fits: ap = 52, w1 = 5510.443, w2 = 5394.239, dw = -0.07043, nw = 1651 130606.0027.ec.fits: ap = 53, w1 = 5457.97, w2 = 5342.875, dw = -0.06975, nw = 1651 130606.0027.ec.fits: ap = 54, w1 = 5406.487, w2 = 5292.48, dw = -0.06909, nw = 1651 130606.0027.ec.fits: ap = 55, w1 = 5355.966, w2 = 5243.027, dw = -0.06845, nw = 1651 130606.0027.ec.fits: ap = 56, w1 = 5306.38, w2 = 5194.49, dw = -0.06781, nw = 1651 130606.0027.ec.fits: ap = 57, w1 = 5257.705, w2 = 5146.844, dw = -0.06719, nw = 1651 130606.0027.ec.fits: ap = 58, w1 = 5209.915, w2 = 5100.064, dw = -0.06658, nw = 1651 130606.0027.ec.fits: ap = 59, w1 = 5162.986, w2 = 5054.127, dw = -0.06597, nw = 1651 130606.0027.ec.fits: ap = 60, w1 = 5116.895, w2 = 5009.011, dw = -0.06538, nw = 1651 130606.0027.ec.fits: ap = 61, w1 = 5071.62, w2 = 4964.693, dw = -0.0648, nw = 1651 130606.0027.ec.fits: ap = 62, w1 = 5027.139, w2 = 4921.153, dw = -0.06423, nw = 1651 130606.0027.ec.fits: ap = 63, w1 = 4983.432, w2 = 4878.37, dw = -0.06367, nw = 1651 130606.0027.ec.fits: ap = 64, w1 = 4940.478, w2 = 4836.325, dw = -0.06312, nw = 1651 130606.0027.ec.fits: ap = 65, w1 = 4898.259, w2 = 4794.999, dw = -0.06258, nw = 1651 130606.0027.ec.fits: ap = 66, w1 = 4856.756, w2 = 4754.373, dw = -0.06205, nw = 1651 130606.0027.ec.fits: ap = 67, w1 = 4815.95, w2 = 4714.43, dw = -0.06153, nw = 1651 130606.0027.ec.fits: ap = 68, w1 = 4775.825, w2 = 4675.153, dw = -0.06101, nw = 1651 130606.0027.ec.fits: ap = 69, w1 = 4736.363, w2 = 4636.526, dw = -0.06051, nw = 1651 130606.0027.ec.fits: ap = 70, w1 = 4697.548, w2 = 4598.531, dw = -0.06001, nw = 1651 130606.0027.ec.fits: ap = 71, w1 = 4659.364, w2 = 4561.155, dw = -0.05952, nw = 1651 130606.0027.ec.fits: ap = 72, w1 = 4621.796, w2 = 4524.382, dw = -0.05904, nw = 1651 130606.0027.ec.fits: ap = 73, w1 = 4584.83, w2 = 4488.197, dw = -0.05857, nw = 1651 130606.0027.ec.fits: ap = 74, w1 = 4548.45, w2 = 4452.587, dw = -0.0581, nw = 1651 130606.0027.ec.fits: ap = 75, w1 = 4512.644, w2 = 4417.537, dw = -0.05764, nw = 1651 130606.0027.ec.fits: ap = 76, w1 = 4477.397, w2 = 4383.036, dw = -0.05719, nw = 1651 130606.0027.ec.fits: ap = 77, w1 = 4442.697, w2 = 4349.069, dw = -0.05674, nw = 1651 130606.0027.ec.fits: ap = 78, w1 = 4408.531, w2 = 4315.625, dw = -0.05631, nw = 1651 130606.0027.ec.fits: ap = 79, w1 = 4374.886, w2 = 4282.692, dw = -0.05588, nw = 1651 130606.0027.ec.fits: ap = 80, w1 = 4341.752, w2 = 4250.258, dw = -0.05545, nw = 1651 130606.0027.ec.fits: ap = 81, w1 = 4309.116, w2 = 4218.312, dw = -0.05503, nw = 1651 130606.0027.ec.fits: ap = 82, w1 = 4276.968, w2 = 4186.843, dw = -0.05462, nw = 1651 130606.0027.ec.fits: ap = 83, w1 = 4245.296, w2 = 4155.84, dw = -0.05422, nw = 1651 130606.0027.ec.fits: ap = 84, w1 = 4214.09, w2 = 4125.294, dw = -0.05382, nw = 1651 130606.0027.ec.fits: ap = 85, w1 = 4183.34, w2 = 4095.193, dw = -0.05342, nw = 1651 130606.0027.ec.fits: ap = 86, w1 = 4153.036, w2 = 4065.529, dw = -0.05303, nw = 1651 130606.0027.ec.fits: ap = 87, w1 = 4123.168, w2 = 4036.291, dw = -0.05265, nw = 1651 130606.0027.ec.fits: ap = 88, w1 = 4093.727, w2 = 4007.472, dw = -0.05228, nw = 1651 130606.0027.ec.fits: ap = 89, w1 = 4064.704, w2 = 3979.062, dw = -0.0519, nw = 1651 130606.0027.ec.fits: ap = 90, w1 = 4036.09, w2 = 3951.052, dw = -0.05154, nw = 1651 130606.0027.ec.fits: ap = 91, w1 = 4007.876, w2 = 3923.433, dw = -0.05118, nw = 1651 130606.0027.ec.fits: ap = 92, w1 = 3980.055, w2 = 3896.199, dw = -0.05082, nw = 1651 130606.0027.ec.fits: ap = 93, w1 = 3952.617, w2 = 3869.34, dw = -0.05047, nw = 1651 130606.0027.ec.fits: ap = 94, w1 = 3925.556, w2 = 3842.85, dw = -0.05013, nw = 1651 130606.0027.ec.fits: ap = 95, w1 = 3898.864, w2 = 3816.72, dw = -0.04978, nw = 1651 130606.0027.ec.fits: ap = 96, w1 = 3872.532, w2 = 3790.943, dw = -0.04945, nw = 1651 130606.0027.ec.fits: ap = 97, w1 = 3846.554, w2 = 3765.512, dw = -0.04912, nw = 1651 130606.0027.ec.fits: ap = 98, w1 = 3820.923, w2 = 3740.421, dw = -0.04879, nw = 1651 130606.0027.ec.fits: ap = 99, w1 = 3795.632, w2 = 3715.662, dw = -0.04847, nw = 1651 130606.0027.ec.fits: ap = 100, w1 = 3770.674, w2 = 3691.229, dw = -0.04815, nw = 1651 130606.0027.ec.fits: ap = 101, w1 = 3746.043, w2 = 3667.116, dw = -0.04783, nw = 1651 130606.0027.ec.fits: ap = 102, w1 = 3721.731, w2 = 3643.316, dw = -0.04752, nw = 1651 130606.0027.ec.fits: ap = 103, w1 = 3697.734, w2 = 3619.823, dw = -0.04722, nw = 1651 130606.0027.ec.fits: ap = 104, w1 = 3674.045, w2 = 3596.632, dw = -0.04692, nw = 1651 130606.0027.ec.fits: ap = 105, w1 = 3650.658, w2 = 3573.736, dw = -0.04662, nw = 1651 130606.0027.ec.fits: ap = 106, w1 = 3627.568, w2 = 3551.13, dw = -0.04633, nw = 1651 130606.0027.ec.fits: ap = 107, w1 = 3604.768, w2 = 3528.809, dw = -0.04604, nw = 1651 130606.0027.ec.fits: ap = 108, w1 = 3582.254, w2 = 3506.767, dw = -0.04575, nw = 1651 130606.0027.ec.fits: ap = 109, w1 = 3560.02, w2 = 3484.999, dw = -0.04547, nw = 1651 130606.0027.ec.fits: ap = 110, w1 = 3538.061, w2 = 3463.5, dw = -0.04519, nw = 1651 130606.0027.ec.fits: ap = 111, w1 = 3516.372, w2 = 3442.265, dw = -0.04491, nw = 1651 130606.0027.ec.fits: ap = 112, w1 = 3494.948, w2 = 3421.289, dw = -0.04464, nw = 1651 130606.0027.ec.fits: ap = 113, w1 = 3473.784, w2 = 3400.567, dw = -0.04437, nw = 1651 130606.0027.ec.fits: ap = 114, w1 = 3452.876, w2 = 3380.096, dw = -0.04411, nw = 1651 130606.0027.ec.fits: ap = 115, w1 = 3432.218, w2 = 3359.869, dw = -0.04385, nw = 1651 EchelleThAr.0017.ec.fits: REFSPEC1 = 'EchelleThAr.0017.ec 1.' zEchelleThAr.0017.ec.fits: ap = 1, w1 = 10812.09, w2 = 10584.13, dw = -0.13815, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 2, w1 = 10611.9, w2 = 10388.15, dw = -0.13561, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 3, w1 = 10419., w2 = 10199.28, dw = -0.13316, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 4, w1 = 10232.98, w2 = 10017.17, dw = -0.13079, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 5, w1 = 10053.48, w2 = 9841.439, dw = -0.12851, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 6, w1 = 9880.176, w2 = 9671.772, dw = -0.12631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 7, w1 = 9712.742, w2 = 9507.857, dw = -0.12417, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 8, w1 = 9550.888, w2 = 9349.405, dw = -0.12211, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 9, w1 = 9394.34, w2 = 9196.149, dw = -0.12012, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 10, w1 = 9242.84, w2 = 9047.837, dw = -0.11818, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 11, w1 = 9096.148, w2 = 8904.234, dw = -0.11631, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 12, w1 = 8954.039, w2 = 8765.118, dw = -0.1145, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 13, w1 = 8816.302, w2 = 8630.283, dw = -0.11274, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 14, w1 = 8682.738, w2 = 8499.533, dw = -0.11103, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 15, w1 = 8553.16, w2 = 8372.687, dw = -0.10938, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 16, w1 = 8427.392, w2 = 8249.572, dw = -0.10777, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 17, w1 = 8305.269, w2 = 8130.025, dw = -0.10621, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 18, w1 = 8186.634, w2 = 8013.894, dw = -0.10469, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 19, w1 = 8071.341, w2 = 7901.035, dw = -0.10322, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 20, w1 = 7959.25, w2 = 7791.31, dw = -0.10178, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 21, w1 = 7850.229, w2 = 7684.592, dw = -0.10039, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 22, w1 = 7744.155, w2 = 7580.758, dw = -0.09903, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 23, w1 = 7640.908, w2 = 7479.694, dw = -0.09771, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 24, w1 = 7540.379, w2 = 7381.288, dw = -0.09642, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 25, w1 = 7442.46, w2 = 7285.439, dw = -0.09516, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 26, w1 = 7347.052, w2 = 7192.048, dw = -0.09394, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 27, w1 = 7254.059, w2 = 7101.021, dw = -0.09275, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 28, w1 = 7163.391, w2 = 7012.269, dw = -0.09159, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 29, w1 = 7074.962, w2 = 6925.709, dw = -0.09046, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 30, w1 = 6988.689, w2 = 6841.261, dw = -0.08935, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 31, w1 = 6904.495, w2 = 6758.847, dw = -0.08827, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 32, w1 = 6822.306, w2 = 6678.396, dw = -0.08722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 33, w1 = 6742.051, w2 = 6599.837, dw = -0.08619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 34, w1 = 6663.662, w2 = 6523.106, dw = -0.08519, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 35, w1 = 6587.075, w2 = 6448.139, dw = -0.0842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 36, w1 = 6512.229, w2 = 6374.875, dw = -0.08324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 37, w1 = 6439.065, w2 = 6303.258, dw = -0.08231, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 38, w1 = 6367.527, w2 = 6233.232, dw = -0.08139, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 39, w1 = 6297.562, w2 = 6164.746, dw = -0.08049, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 40, w1 = 6229.118, w2 = 6097.748, dw = -0.07962, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 41, w1 = 6162.146, w2 = 6032.191, dw = -0.07876, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 42, w1 = 6096.599, w2 = 5968.029, dw = -0.07792, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 43, w1 = 6032.432, w2 = 5905.218, dw = -0.0771, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 44, w1 = 5969.602, w2 = 5843.716, dw = -0.07629, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 45, w1 = 5908.068, w2 = 5783.481, dw = -0.07551, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 46, w1 = 5847.79, w2 = 5724.476, dw = -0.07474, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 47, w1 = 5788.73, w2 = 5666.663, dw = -0.07398, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 48, w1 = 5730.851, w2 = 5610.007, dw = -0.07324, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 49, w1 = 5674.119, w2 = 5554.472, dw = -0.07251, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 50, w1 = 5618.499, w2 = 5500.026, dw = -0.0718, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 51, w1 = 5563.96, w2 = 5446.638, dw = -0.0711, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 52, w1 = 5510.47, w2 = 5394.276, dw = -0.07042, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 53, w1 = 5457.999, w2 = 5342.912, dw = -0.06975, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 54, w1 = 5406.518, w2 = 5292.517, dw = -0.06909, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 55, w1 = 5355.999, w2 = 5243.064, dw = -0.06845, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 56, w1 = 5306.417, w2 = 5194.527, dw = -0.06781, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 57, w1 = 5257.744, w2 = 5146.881, dw = -0.06719, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 58, w1 = 5209.957, w2 = 5100.101, dw = -0.06658, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 59, w1 = 5163.03, w2 = 5054.163, dw = -0.06598, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 60, w1 = 5116.942, w2 = 5009.047, dw = -0.06539, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 61, w1 = 5071.67, w2 = 4964.729, dw = -0.06481, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 62, w1 = 5027.192, w2 = 4921.188, dw = -0.06424, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 63, w1 = 4983.488, w2 = 4878.405, dw = -0.06369, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 64, w1 = 4940.538, w2 = 4836.36, dw = -0.06314, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 65, w1 = 4898.322, w2 = 4795.033, dw = -0.0626, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 66, w1 = 4856.821, w2 = 4754.407, dw = -0.06207, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 67, w1 = 4816.019, w2 = 4714.464, dw = -0.06155, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 68, w1 = 4775.896, w2 = 4675.187, dw = -0.06104, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 69, w1 = 4736.436, w2 = 4636.559, dw = -0.06053, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 70, w1 = 4697.624, w2 = 4598.565, dw = -0.06004, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 71, w1 = 4659.442, w2 = 4561.188, dw = -0.05955, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 72, w1 = 4621.877, w2 = 4524.415, dw = -0.05907, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 73, w1 = 4584.912, w2 = 4488.23, dw = -0.0586, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 74, w1 = 4548.534, w2 = 4452.619, dw = -0.05813, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 75, w1 = 4512.729, w2 = 4417.57, dw = -0.05767, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 76, w1 = 4477.483, w2 = 4383.068, dw = -0.05722, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 77, w1 = 4442.784, w2 = 4349.102, dw = -0.05678, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 78, w1 = 4408.618, w2 = 4315.658, dw = -0.05634, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 79, w1 = 4374.974, w2 = 4282.725, dw = -0.05591, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 80, w1 = 4341.839, w2 = 4250.291, dw = -0.05548, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 81, w1 = 4309.203, w2 = 4218.345, dw = -0.05507, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 82, w1 = 4277.053, w2 = 4186.876, dw = -0.05465, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 83, w1 = 4245.379, w2 = 4155.873, dw = -0.05425, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 84, w1 = 4214.171, w2 = 4125.327, dw = -0.05385, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 85, w1 = 4183.418, w2 = 4095.227, dw = -0.05345, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 86, w1 = 4153.111, w2 = 4065.563, dw = -0.05306, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 87, w1 = 4123.239, w2 = 4036.326, dw = -0.05267, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 88, w1 = 4093.793, w2 = 4007.507, dw = -0.05229, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 89, w1 = 4064.765, w2 = 3979.098, dw = -0.05192, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 90, w1 = 4036.145, w2 = 3951.088, dw = -0.05155, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 91, w1 = 4007.925, w2 = 3923.471, dw = -0.05118, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 92, w1 = 3980.096, w2 = 3896.237, dw = -0.05082, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 93, w1 = 3952.651, w2 = 3869.379, dw = -0.05047, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 94, w1 = 3925.581, w2 = 3842.89, dw = -0.05012, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 95, w1 = 3898.879, w2 = 3816.761, dw = -0.04977, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 96, w1 = 3872.536, w2 = 3790.986, dw = -0.04942, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 97, w1 = 3846.547, w2 = 3765.557, dw = -0.04909, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 98, w1 = 3820.904, w2 = 3740.467, dw = -0.04875, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 99, w1 = 3795.599, w2 = 3715.71, dw = -0.04842, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 100, w1 = 3770.627, w2 = 3691.279, dw = -0.04809, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 101, w1 = 3745.98, w2 = 3667.167, dw = -0.04777, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 102, w1 = 3721.652, w2 = 3643.369, dw = -0.04744, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 103, w1 = 3697.638, w2 = 3619.879, dw = -0.04713, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 104, w1 = 3673.93, w2 = 3596.69, dw = -0.04681, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 105, w1 = 3650.523, w2 = 3573.797, dw = -0.0465, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 106, w1 = 3627.412, w2 = 3551.194, dw = -0.04619, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 107, w1 = 3604.59, w2 = 3528.875, dw = -0.04589, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 108, w1 = 3582.053, w2 = 3506.836, dw = -0.04559, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 109, w1 = 3559.794, w2 = 3485.071, dw = -0.04529, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 110, w1 = 3537.809, w2 = 3463.575, dw = -0.04499, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 111, w1 = 3516.093, w2 = 3442.344, dw = -0.0447, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 112, w1 = 3494.64, w2 = 3421.372, dw = -0.04441, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 113, w1 = 3473.446, w2 = 3400.654, dw = -0.04412, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 114, w1 = 3452.506, w2 = 3380.186, dw = -0.04383, nw = 1651 zEchelleThAr.0017.ec.fits: ap = 115, w1 = 3431.816, w2 = 3359.964, dw = -0.04355, nw = 1651 EchelleThAr.0018.ec.fits: REFSPEC1 = 'EchelleThAr.0018.ec 1.' zEchelleThAr.0018.ec.fits: ap = 1, w1 = 10812.21, w2 = 10584.05, dw = -0.13828, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 2, w1 = 10612.01, w2 = 10388.07, dw = -0.13572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 3, w1 = 10419.08, w2 = 10199.22, dw = -0.13325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 4, w1 = 10233.05, w2 = 10017.11, dw = -0.13087, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 5, w1 = 10053.54, w2 = 9841.395, dw = -0.12857, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 6, w1 = 9880.219, w2 = 9671.736, dw = -0.12635, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 7, w1 = 9712.774, w2 = 9507.827, dw = -0.12421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 8, w1 = 9550.911, w2 = 9349.381, dw = -0.12214, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 9, w1 = 9394.354, w2 = 9196.131, dw = -0.12014, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 10, w1 = 9242.847, w2 = 9047.823, dw = -0.1182, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 11, w1 = 9096.149, w2 = 8904.223, dw = -0.11632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 12, w1 = 8954.036, w2 = 8765.11, dw = -0.1145, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 13, w1 = 8816.294, w2 = 8630.277, dw = -0.11274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 14, w1 = 8682.727, w2 = 8499.53, dw = -0.11103, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 15, w1 = 8553.146, w2 = 8372.686, dw = -0.10937, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 16, w1 = 8427.376, w2 = 8249.572, dw = -0.10776, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 17, w1 = 8305.252, w2 = 8130.026, dw = -0.1062, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 18, w1 = 8186.616, w2 = 8013.896, dw = -0.10468, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 19, w1 = 8071.323, w2 = 7901.037, dw = -0.1032, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 20, w1 = 7959.232, w2 = 7791.313, dw = -0.10177, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 21, w1 = 7850.211, w2 = 7684.595, dw = -0.10037, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 22, w1 = 7744.137, w2 = 7580.761, dw = -0.09902, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 23, w1 = 7640.892, w2 = 7479.696, dw = -0.09769, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 24, w1 = 7540.364, w2 = 7381.29, dw = -0.09641, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 25, w1 = 7442.446, w2 = 7285.441, dw = -0.09515, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 26, w1 = 7347.04, w2 = 7192.049, dw = -0.09393, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 27, w1 = 7254.048, w2 = 7101.021, dw = -0.09274, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 28, w1 = 7163.382, w2 = 7012.269, dw = -0.09158, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 29, w1 = 7074.954, w2 = 6925.709, dw = -0.09045, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 30, w1 = 6988.683, w2 = 6841.259, dw = -0.08935, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 31, w1 = 6904.491, w2 = 6758.845, dw = -0.08827, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 32, w1 = 6822.303, w2 = 6678.393, dw = -0.08722, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 33, w1 = 6742.049, w2 = 6599.834, dw = -0.08619, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 34, w1 = 6663.662, w2 = 6523.102, dw = -0.08519, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 35, w1 = 6587.077, w2 = 6448.134, dw = -0.08421, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 36, w1 = 6512.232, w2 = 6374.87, dw = -0.08325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 37, w1 = 6439.07, w2 = 6303.253, dw = -0.08231, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 38, w1 = 6367.533, w2 = 6233.227, dw = -0.0814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 39, w1 = 6297.569, w2 = 6164.74, dw = -0.0805, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 40, w1 = 6229.125, w2 = 6097.742, dw = -0.07963, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 41, w1 = 6162.154, w2 = 6032.185, dw = -0.07877, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 42, w1 = 6096.608, w2 = 5968.023, dw = -0.07793, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 43, w1 = 6032.442, w2 = 5905.212, dw = -0.07711, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 44, w1 = 5969.612, w2 = 5843.709, dw = -0.0763, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 45, w1 = 5908.078, w2 = 5783.475, dw = -0.07552, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 46, w1 = 5847.8, w2 = 5724.47, dw = -0.07475, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 47, w1 = 5788.74, w2 = 5666.657, dw = -0.07399, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 48, w1 = 5730.862, w2 = 5610.001, dw = -0.07325, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 49, w1 = 5674.129, w2 = 5554.467, dw = -0.07252, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 50, w1 = 5618.509, w2 = 5500.021, dw = -0.07181, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 51, w1 = 5563.969, w2 = 5446.633, dw = -0.07111, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 52, w1 = 5510.478, w2 = 5394.272, dw = -0.07043, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 53, w1 = 5458.006, w2 = 5342.908, dw = -0.06976, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 54, w1 = 5406.524, w2 = 5292.514, dw = -0.0691, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 55, w1 = 5356.004, w2 = 5243.061, dw = -0.06845, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 56, w1 = 5306.421, w2 = 5194.525, dw = -0.06782, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 57, w1 = 5257.747, w2 = 5146.879, dw = -0.06719, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 58, w1 = 5209.958, w2 = 5100.099, dw = -0.06658, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 59, w1 = 5163.03, w2 = 5054.163, dw = -0.06598, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 60, w1 = 5116.94, w2 = 5009.047, dw = -0.06539, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 61, w1 = 5071.666, w2 = 4964.729, dw = -0.06481, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 62, w1 = 5027.186, w2 = 4921.189, dw = -0.06424, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 63, w1 = 4983.48, w2 = 4878.407, dw = -0.06368, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 64, w1 = 4940.528, w2 = 4836.362, dw = -0.06313, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 65, w1 = 4898.31, w2 = 4795.036, dw = -0.06259, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 66, w1 = 4856.807, w2 = 4754.41, dw = -0.06206, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 67, w1 = 4816.002, w2 = 4714.467, dw = -0.06154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 68, w1 = 4775.877, w2 = 4675.19, dw = -0.06102, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 69, w1 = 4736.416, w2 = 4636.562, dw = -0.06052, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 70, w1 = 4697.601, w2 = 4598.568, dw = -0.06002, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 71, w1 = 4659.417, w2 = 4561.191, dw = -0.05953, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 72, w1 = 4621.85, w2 = 4524.417, dw = -0.05905, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 73, w1 = 4584.883, w2 = 4488.232, dw = -0.05858, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 74, w1 = 4548.503, w2 = 4452.621, dw = -0.05811, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 75, w1 = 4512.696, w2 = 4417.57, dw = -0.05765, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 76, w1 = 4477.448, w2 = 4383.068, dw = -0.0572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 77, w1 = 4442.747, w2 = 4349.1, dw = -0.05676, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 78, w1 = 4408.58, w2 = 4315.655, dw = -0.05632, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 79, w1 = 4374.934, w2 = 4282.72, dw = -0.05589, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 80, w1 = 4341.798, w2 = 4250.285, dw = -0.05546, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 81, w1 = 4309.16, w2 = 4218.337, dw = -0.05504, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 82, w1 = 4277.009, w2 = 4186.866, dw = -0.05463, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 83, w1 = 4245.334, w2 = 4155.861, dw = -0.05423, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 84, w1 = 4214.125, w2 = 4125.312, dw = -0.05383, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 85, w1 = 4183.372, w2 = 4095.208, dw = -0.05343, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 86, w1 = 4153.064, w2 = 4065.541, dw = -0.05304, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 87, w1 = 4123.192, w2 = 4036.301, dw = -0.05266, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 88, w1 = 4093.746, w2 = 4007.479, dw = -0.05228, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 89, w1 = 4064.718, w2 = 3979.065, dw = -0.05191, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 90, w1 = 4036.099, w2 = 3951.051, dw = -0.05154, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 91, w1 = 4007.879, w2 = 3923.428, dw = -0.05118, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 92, w1 = 3980.052, w2 = 3896.19, dw = -0.05083, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 93, w1 = 3952.608, w2 = 3869.327, dw = -0.05047, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 94, w1 = 3925.54, w2 = 3842.831, dw = -0.05013, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 95, w1 = 3898.839, w2 = 3816.696, dw = -0.04978, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 96, w1 = 3872.5, w2 = 3790.914, dw = -0.04945, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 97, w1 = 3846.513, w2 = 3765.478, dw = -0.04911, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 98, w1 = 3820.873, w2 = 3740.38, dw = -0.04878, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 99, w1 = 3795.572, w2 = 3715.615, dw = -0.04846, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 100, w1 = 3770.604, w2 = 3691.175, dw = -0.04814, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 101, w1 = 3745.961, w2 = 3667.055, dw = -0.04782, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 102, w1 = 3721.639, w2 = 3643.248, dw = -0.04751, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 103, w1 = 3697.63, w2 = 3619.747, dw = -0.0472, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 104, w1 = 3673.928, w2 = 3596.548, dw = -0.0469, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 105, w1 = 3650.528, w2 = 3573.643, dw = -0.0466, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 106, w1 = 3627.424, w2 = 3551.029, dw = -0.0463, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 107, w1 = 3604.61, w2 = 3528.698, dw = -0.04601, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 108, w1 = 3582.08, w2 = 3506.646, dw = -0.04572, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 109, w1 = 3559.83, w2 = 3484.868, dw = -0.04543, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 110, w1 = 3537.855, w2 = 3463.358, dw = -0.04515, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 111, w1 = 3516.148, w2 = 3442.112, dw = -0.04487, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 112, w1 = 3494.706, w2 = 3421.125, dw = -0.04459, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 113, w1 = 3473.523, w2 = 3400.391, dw = -0.04432, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 114, w1 = 3452.595, w2 = 3379.907, dw = -0.04405, nw = 1651 zEchelleThAr.0018.ec.fits: ap = 115, w1 = 3431.917, w2 = 3359.668, dw = -0.04379, nw = 1651 EchelleThAr.0023.ec.fits: REFSPEC1 = 'EchelleThAr.0023.ec 1.' zEchelleThAr.0023.ec.fits: ap = 1, w1 = 10812.19, w2 = 10584.05, dw = -0.13826, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 2, w1 = 10611.99, w2 = 10388.08, dw = -0.1357, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 3, w1 = 10419.06, w2 = 10199.22, dw = -0.13324, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 4, w1 = 10233.03, w2 = 10017.12, dw = -0.13086, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 5, w1 = 10053.52, w2 = 9841.397, dw = -0.12856, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 6, w1 = 9880.206, w2 = 9671.737, dw = -0.12635, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 7, w1 = 9712.763, w2 = 9507.828, dw = -0.1242, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 8, w1 = 9550.901, w2 = 9349.382, dw = -0.12213, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 9, w1 = 9394.345, w2 = 9196.131, dw = -0.12013, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 10, w1 = 9242.839, w2 = 9047.823, dw = -0.11819, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 11, w1 = 9096.143, w2 = 8904.223, dw = -0.11631, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 12, w1 = 8954.03, w2 = 8765.111, dw = -0.1145, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 13, w1 = 8816.289, w2 = 8630.278, dw = -0.11273, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 14, w1 = 8682.722, w2 = 8499.531, dw = -0.11102, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 15, w1 = 8553.142, w2 = 8372.687, dw = -0.10937, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 16, w1 = 8427.372, w2 = 8249.573, dw = -0.10776, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 17, w1 = 8305.248, w2 = 8130.028, dw = -0.10619, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 18, w1 = 8186.613, w2 = 8013.897, dw = -0.10468, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 19, w1 = 8071.32, w2 = 7901.039, dw = -0.1032, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 20, w1 = 7959.229, w2 = 7791.314, dw = -0.10177, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 21, w1 = 7850.208, w2 = 7684.596, dw = -0.10037, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 22, w1 = 7744.134, w2 = 7580.762, dw = -0.09901, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 23, w1 = 7640.889, w2 = 7479.697, dw = -0.09769, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 24, w1 = 7540.36, w2 = 7381.292, dw = -0.09641, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 25, w1 = 7442.443, w2 = 7285.442, dw = -0.09515, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 26, w1 = 7347.036, w2 = 7192.05, dw = -0.09393, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 27, w1 = 7254.044, w2 = 7101.022, dw = -0.09274, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 28, w1 = 7163.377, w2 = 7012.27, dw = -0.09158, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 29, w1 = 7074.949, w2 = 6925.71, dw = -0.09045, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 30, w1 = 6988.678, w2 = 6841.26, dw = -0.08934, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 31, w1 = 6904.485, w2 = 6758.846, dw = -0.08827, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 32, w1 = 6822.297, w2 = 6678.394, dw = -0.08721, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 33, w1 = 6742.043, w2 = 6599.834, dw = -0.08619, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 34, w1 = 6663.655, w2 = 6523.102, dw = -0.08518, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 35, w1 = 6587.069, w2 = 6448.134, dw = -0.0842, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 36, w1 = 6512.224, w2 = 6374.87, dw = -0.08324, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 37, w1 = 6439.061, w2 = 6303.252, dw = -0.08231, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 38, w1 = 6367.523, w2 = 6233.225, dw = -0.08139, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 39, w1 = 6297.558, w2 = 6164.738, dw = -0.0805, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 40, w1 = 6229.114, w2 = 6097.74, dw = -0.07962, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 41, w1 = 6162.142, w2 = 6032.182, dw = -0.07876, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 42, w1 = 6096.595, w2 = 5968.02, dw = -0.07792, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 43, w1 = 6032.428, w2 = 5905.208, dw = -0.0771, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 44, w1 = 5969.598, w2 = 5843.706, dw = -0.0763, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 45, w1 = 5908.064, w2 = 5783.471, dw = -0.07551, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 46, w1 = 5847.785, w2 = 5724.466, dw = -0.07474, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 47, w1 = 5788.724, w2 = 5666.652, dw = -0.07398, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 48, w1 = 5730.845, w2 = 5609.996, dw = -0.07324, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 49, w1 = 5674.112, w2 = 5554.461, dw = -0.07252, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 50, w1 = 5618.491, w2 = 5500.015, dw = -0.0718, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 51, w1 = 5563.951, w2 = 5446.627, dw = -0.07111, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 52, w1 = 5510.459, w2 = 5394.265, dw = -0.07042, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 53, w1 = 5457.986, w2 = 5342.901, dw = -0.06975, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 54, w1 = 5406.504, w2 = 5292.506, dw = -0.06909, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 55, w1 = 5355.984, w2 = 5243.054, dw = -0.06844, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 56, w1 = 5306.399, w2 = 5194.517, dw = -0.06781, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 57, w1 = 5257.725, w2 = 5146.871, dw = -0.06718, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 58, w1 = 5209.936, w2 = 5100.092, dw = -0.06657, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 59, w1 = 5163.007, w2 = 5054.155, dw = -0.06597, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 60, w1 = 5116.917, w2 = 5009.039, dw = -0.06538, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 61, w1 = 5071.643, w2 = 4964.722, dw = -0.0648, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 62, w1 = 5027.163, w2 = 4921.182, dw = -0.06423, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 63, w1 = 4983.457, w2 = 4878.4, dw = -0.06367, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 64, w1 = 4940.505, w2 = 4836.355, dw = -0.06312, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 65, w1 = 4898.286, w2 = 4795.03, dw = -0.06258, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 66, w1 = 4856.784, w2 = 4754.405, dw = -0.06205, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 67, w1 = 4815.979, w2 = 4714.462, dw = -0.06153, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 68, w1 = 4775.854, w2 = 4675.186, dw = -0.06101, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 69, w1 = 4736.393, w2 = 4636.559, dw = -0.0605, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 70, w1 = 4697.578, w2 = 4598.566, dw = -0.06001, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 71, w1 = 4659.395, w2 = 4561.191, dw = -0.05952, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 72, w1 = 4621.827, w2 = 4524.418, dw = -0.05904, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 73, w1 = 4584.861, w2 = 4488.234, dw = -0.05856, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 74, w1 = 4548.482, w2 = 4452.625, dw = -0.0581, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 75, w1 = 4512.675, w2 = 4417.576, dw = -0.05764, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 76, w1 = 4477.428, w2 = 4383.076, dw = -0.05718, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 77, w1 = 4442.728, w2 = 4349.11, dw = -0.05674, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 78, w1 = 4408.561, w2 = 4315.667, dw = -0.0563, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 79, w1 = 4374.917, w2 = 4282.735, dw = -0.05587, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 80, w1 = 4341.781, w2 = 4250.302, dw = -0.05544, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 81, w1 = 4309.145, w2 = 4218.357, dw = -0.05502, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 82, w1 = 4276.995, w2 = 4186.889, dw = -0.05461, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 83, w1 = 4245.322, w2 = 4155.887, dw = -0.0542, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 84, w1 = 4214.114, w2 = 4125.342, dw = -0.0538, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 85, w1 = 4183.362, w2 = 4095.242, dw = -0.05341, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 86, w1 = 4153.056, w2 = 4065.579, dw = -0.05302, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 87, w1 = 4123.185, w2 = 4036.343, dw = -0.05263, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 88, w1 = 4093.742, w2 = 4007.524, dw = -0.05225, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 89, w1 = 4064.716, w2 = 3979.115, dw = -0.05188, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 90, w1 = 4036.098, w2 = 3951.106, dw = -0.05151, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 91, w1 = 4007.881, w2 = 3923.489, dw = -0.05115, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 92, w1 = 3980.056, w2 = 3896.255, dw = -0.05079, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 93, w1 = 3952.614, w2 = 3869.398, dw = -0.05043, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 94, w1 = 3925.549, w2 = 3842.908, dw = -0.05009, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 95, w1 = 3898.851, w2 = 3816.779, dw = -0.04974, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 96, w1 = 3872.514, w2 = 3791.003, dw = -0.0494, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 97, w1 = 3846.531, w2 = 3765.574, dw = -0.04906, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 98, w1 = 3820.894, w2 = 3740.483, dw = -0.04873, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 99, w1 = 3795.596, w2 = 3715.725, dw = -0.04841, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 100, w1 = 3770.631, w2 = 3691.293, dw = -0.04808, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 101, w1 = 3745.992, w2 = 3667.181, dw = -0.04776, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 102, w1 = 3721.673, w2 = 3643.382, dw = -0.04745, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 103, w1 = 3697.668, w2 = 3619.89, dw = -0.04714, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 104, w1 = 3673.97, w2 = 3596.699, dw = -0.04683, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 105, w1 = 3650.574, w2 = 3573.804, dw = -0.04653, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 106, w1 = 3627.474, w2 = 3551.199, dw = -0.04623, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 107, w1 = 3604.665, w2 = 3528.878, dw = -0.04593, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 108, w1 = 3582.14, w2 = 3506.837, dw = -0.04564, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 109, w1 = 3559.895, w2 = 3485.069, dw = -0.04535, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 110, w1 = 3537.924, w2 = 3463.571, dw = -0.04506, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 111, w1 = 3516.222, w2 = 3442.336, dw = -0.04478, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 112, w1 = 3494.785, w2 = 3421.36, dw = -0.0445, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 113, w1 = 3473.608, w2 = 3400.639, dw = -0.04422, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 114, w1 = 3452.685, w2 = 3380.167, dw = -0.04395, nw = 1651 zEchelleThAr.0023.ec.fits: ap = 115, w1 = 3432.013, w2 = 3359.941, dw = -0.04368, nw = 1651 EchelleThAr.0024.ec.fits: REFSPEC1 = 'EchelleThAr.0024.ec 1.' zEchelleThAr.0024.ec.fits: ap = 1, w1 = 10812.27, w2 = 10584.08, dw = -0.1383, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 2, w1 = 10612.06, w2 = 10388.1, dw = -0.13573, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 3, w1 = 10419.13, w2 = 10199.25, dw = -0.13326, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 4, w1 = 10233.09, w2 = 10017.14, dw = -0.13088, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 5, w1 = 10053.57, w2 = 9841.418, dw = -0.12858, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 6, w1 = 9880.25, w2 = 9671.757, dw = -0.12636, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 7, w1 = 9712.802, w2 = 9507.847, dw = -0.12422, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 8, w1 = 9550.935, w2 = 9349.399, dw = -0.12214, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 9, w1 = 9394.375, w2 = 9196.147, dw = -0.12014, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 10, w1 = 9242.865, w2 = 9047.837, dw = -0.1182, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 11, w1 = 9096.165, w2 = 8904.236, dw = -0.11632, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 12, w1 = 8954.049, w2 = 8765.122, dw = -0.1145, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 13, w1 = 8816.306, w2 = 8630.288, dw = -0.11274, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 14, w1 = 8682.737, w2 = 8499.54, dw = -0.11103, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 15, w1 = 8553.154, w2 = 8372.694, dw = -0.10937, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 16, w1 = 8427.383, w2 = 8249.579, dw = -0.10776, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 17, w1 = 8305.258, w2 = 8130.033, dw = -0.1062, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 18, w1 = 8186.621, w2 = 8013.902, dw = -0.10468, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 19, w1 = 8071.327, w2 = 7901.042, dw = -0.1032, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 20, w1 = 7959.235, w2 = 7791.317, dw = -0.10177, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 21, w1 = 7850.214, w2 = 7684.598, dw = -0.10037, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 22, w1 = 7744.14, w2 = 7580.763, dw = -0.09902, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 23, w1 = 7640.894, w2 = 7479.698, dw = -0.09769, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 24, w1 = 7540.365, w2 = 7381.292, dw = -0.09641, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 25, w1 = 7442.448, w2 = 7285.441, dw = -0.09516, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 26, w1 = 7347.041, w2 = 7192.049, dw = -0.09393, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 27, w1 = 7254.049, w2 = 7101.021, dw = -0.09274, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 28, w1 = 7163.383, w2 = 7012.269, dw = -0.09158, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 29, w1 = 7074.955, w2 = 6925.708, dw = -0.09045, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 30, w1 = 6988.684, w2 = 6841.259, dw = -0.08935, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 31, w1 = 6904.492, w2 = 6758.844, dw = -0.08827, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 32, w1 = 6822.305, w2 = 6678.392, dw = -0.08722, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 33, w1 = 6742.051, w2 = 6599.833, dw = -0.08619, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 34, w1 = 6663.664, w2 = 6523.101, dw = -0.08519, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 35, w1 = 6587.079, w2 = 6448.133, dw = -0.08421, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 36, w1 = 6512.235, w2 = 6374.869, dw = -0.08325, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 37, w1 = 6439.072, w2 = 6303.251, dw = -0.08232, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 38, w1 = 6367.536, w2 = 6233.226, dw = -0.0814, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 39, w1 = 6297.572, w2 = 6164.739, dw = -0.0805, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 40, w1 = 6229.129, w2 = 6097.741, dw = -0.07963, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 41, w1 = 6162.158, w2 = 6032.184, dw = -0.07877, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 42, w1 = 6096.612, w2 = 5968.022, dw = -0.07793, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 43, w1 = 6032.446, w2 = 5905.211, dw = -0.07711, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 44, w1 = 5969.617, w2 = 5843.709, dw = -0.07631, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 45, w1 = 5908.083, w2 = 5783.475, dw = -0.07552, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 46, w1 = 5847.805, w2 = 5724.47, dw = -0.07475, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 47, w1 = 5788.745, w2 = 5666.657, dw = -0.07399, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 48, w1 = 5730.867, w2 = 5610.001, dw = -0.07325, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 49, w1 = 5674.134, w2 = 5554.467, dw = -0.07253, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 50, w1 = 5618.514, w2 = 5500.022, dw = -0.07181, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 51, w1 = 5563.975, w2 = 5446.634, dw = -0.07112, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 52, w1 = 5510.484, w2 = 5394.273, dw = -0.07043, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 53, w1 = 5458.012, w2 = 5342.909, dw = -0.06976, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 54, w1 = 5406.53, w2 = 5292.515, dw = -0.0691, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 55, w1 = 5356.01, w2 = 5243.063, dw = -0.06845, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 56, w1 = 5306.427, w2 = 5194.527, dw = -0.06782, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 57, w1 = 5257.753, w2 = 5146.881, dw = -0.0672, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 58, w1 = 5209.964, w2 = 5100.102, dw = -0.06658, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 59, w1 = 5163.036, w2 = 5054.165, dw = -0.06598, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 60, w1 = 5116.946, w2 = 5009.049, dw = -0.06539, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 61, w1 = 5071.672, w2 = 4964.732, dw = -0.06481, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 62, w1 = 5027.192, w2 = 4921.192, dw = -0.06424, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 63, w1 = 4983.486, w2 = 4878.409, dw = -0.06368, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 64, w1 = 4940.534, w2 = 4836.365, dw = -0.06313, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 65, w1 = 4898.315, w2 = 4795.039, dw = -0.06259, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 66, w1 = 4856.813, w2 = 4754.413, dw = -0.06206, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 67, w1 = 4816.007, w2 = 4714.47, dw = -0.06154, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 68, w1 = 4775.882, w2 = 4675.193, dw = -0.06102, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 69, w1 = 4736.42, w2 = 4636.565, dw = -0.06052, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 70, w1 = 4697.605, w2 = 4598.571, dw = -0.06002, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 71, w1 = 4659.422, w2 = 4561.194, dw = -0.05953, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 72, w1 = 4621.854, w2 = 4524.42, dw = -0.05905, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 73, w1 = 4584.887, w2 = 4488.235, dw = -0.05858, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 74, w1 = 4548.506, w2 = 4452.624, dw = -0.05811, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 75, w1 = 4512.699, w2 = 4417.573, dw = -0.05765, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 76, w1 = 4477.451, w2 = 4383.07, dw = -0.0572, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 77, w1 = 4442.75, w2 = 4349.103, dw = -0.05676, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 78, w1 = 4408.582, w2 = 4315.657, dw = -0.05632, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 79, w1 = 4374.936, w2 = 4282.722, dw = -0.05589, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 80, w1 = 4341.799, w2 = 4250.286, dw = -0.05546, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 81, w1 = 4309.161, w2 = 4218.338, dw = -0.05504, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 82, w1 = 4277.01, w2 = 4186.867, dw = -0.05463, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 83, w1 = 4245.335, w2 = 4155.861, dw = -0.05423, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 84, w1 = 4214.126, w2 = 4125.312, dw = -0.05383, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 85, w1 = 4183.372, w2 = 4095.208, dw = -0.05343, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 86, w1 = 4153.063, w2 = 4065.541, dw = -0.05304, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 87, w1 = 4123.191, w2 = 4036.3, dw = -0.05266, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 88, w1 = 4093.745, w2 = 4007.476, dw = -0.05228, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 89, w1 = 4064.717, w2 = 3979.062, dw = -0.05191, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 90, w1 = 4036.097, w2 = 3951.047, dw = -0.05155, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 91, w1 = 4007.878, w2 = 3923.424, dw = -0.05118, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 92, w1 = 3980.05, w2 = 3896.185, dw = -0.05083, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 93, w1 = 3952.606, w2 = 3869.321, dw = -0.05048, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 94, w1 = 3925.538, w2 = 3842.824, dw = -0.05013, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 95, w1 = 3898.837, w2 = 3816.688, dw = -0.04979, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 96, w1 = 3872.497, w2 = 3790.905, dw = -0.04945, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 97, w1 = 3846.511, w2 = 3765.467, dw = -0.04912, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 98, w1 = 3820.871, w2 = 3740.369, dw = -0.04879, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 99, w1 = 3795.57, w2 = 3715.603, dw = -0.04846, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 100, w1 = 3770.601, w2 = 3691.162, dw = -0.04815, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 101, w1 = 3745.959, w2 = 3667.04, dw = -0.04783, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 102, w1 = 3721.636, w2 = 3643.231, dw = -0.04752, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 103, w1 = 3697.627, w2 = 3619.729, dw = -0.04721, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 104, w1 = 3673.926, w2 = 3596.528, dw = -0.04691, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 105, w1 = 3650.526, w2 = 3573.622, dw = -0.04661, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 106, w1 = 3627.422, w2 = 3551.006, dw = -0.04631, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 107, w1 = 3604.608, w2 = 3528.674, dw = -0.04602, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 108, w1 = 3582.079, w2 = 3506.62, dw = -0.04573, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 109, w1 = 3559.83, w2 = 3484.84, dw = -0.04545, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 110, w1 = 3537.854, w2 = 3463.328, dw = -0.04517, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 111, w1 = 3516.148, w2 = 3442.08, dw = -0.04489, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 112, w1 = 3494.707, w2 = 3421.091, dw = -0.04462, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 113, w1 = 3473.524, w2 = 3400.355, dw = -0.04435, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 114, w1 = 3452.597, w2 = 3379.869, dw = -0.04408, nw = 1651 zEchelleThAr.0024.ec.fits: ap = 115, w1 = 3431.92, w2 = 3359.627, dw = -0.04381, nw = 1651 EchelleThAr.0028.ec.fits: REFSPEC1 = 'EchelleThAr.0028.ec 1.' zEchelleThAr.0028.ec.fits: ap = 1, w1 = 10812.15, w2 = 10584.04, dw = -0.13825, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 2, w1 = 10611.94, w2 = 10388.06, dw = -0.13569, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 3, w1 = 10419.02, w2 = 10199.2, dw = -0.13322, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 4, w1 = 10232.98, w2 = 10017.09, dw = -0.13084, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 5, w1 = 10053.47, w2 = 9841.366, dw = -0.12855, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 6, w1 = 9880.15, w2 = 9671.704, dw = -0.12633, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 7, w1 = 9712.706, w2 = 9507.793, dw = -0.12419, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 8, w1 = 9550.843, w2 = 9349.345, dw = -0.12212, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 9, w1 = 9394.287, w2 = 9196.092, dw = -0.12012, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 10, w1 = 9242.781, w2 = 9047.783, dw = -0.11818, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 11, w1 = 9096.084, w2 = 8904.182, dw = -0.1163, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 12, w1 = 8953.972, w2 = 8765.069, dw = -0.11449, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 13, w1 = 8816.232, w2 = 8630.236, dw = -0.11273, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 14, w1 = 8682.667, w2 = 8499.488, dw = -0.11102, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 15, w1 = 8553.088, w2 = 8372.644, dw = -0.10936, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 16, w1 = 8427.32, w2 = 8249.53, dw = -0.10775, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 17, w1 = 8305.198, w2 = 8129.984, dw = -0.10619, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 18, w1 = 8186.565, w2 = 8013.854, dw = -0.10467, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 19, w1 = 8071.273, w2 = 7900.996, dw = -0.1032, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 20, w1 = 7959.184, w2 = 7791.272, dw = -0.10176, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 21, w1 = 7850.166, w2 = 7684.554, dw = -0.10037, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 22, w1 = 7744.094, w2 = 7580.721, dw = -0.09901, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 23, w1 = 7640.85, w2 = 7479.656, dw = -0.09769, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 24, w1 = 7540.324, w2 = 7381.251, dw = -0.09641, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 25, w1 = 7442.408, w2 = 7285.402, dw = -0.09516, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 26, w1 = 7347.003, w2 = 7192.011, dw = -0.09393, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 27, w1 = 7254.013, w2 = 7100.984, dw = -0.09275, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 28, w1 = 7163.348, w2 = 7012.232, dw = -0.09159, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 29, w1 = 7074.921, w2 = 6925.672, dw = -0.09045, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 30, w1 = 6988.651, w2 = 6841.224, dw = -0.08935, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 31, w1 = 6904.46, w2 = 6758.81, dw = -0.08827, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 32, w1 = 6822.273, w2 = 6678.358, dw = -0.08722, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 33, w1 = 6742.02, w2 = 6599.8, dw = -0.08619, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 34, w1 = 6663.634, w2 = 6523.068, dw = -0.08519, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 35, w1 = 6587.049, w2 = 6448.1, dw = -0.08421, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 36, w1 = 6512.204, w2 = 6374.836, dw = -0.08325, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 37, w1 = 6439.042, w2 = 6303.219, dw = -0.08232, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 38, w1 = 6367.505, w2 = 6233.193, dw = -0.0814, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 39, w1 = 6297.541, w2 = 6164.706, dw = -0.08051, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 40, w1 = 6229.097, w2 = 6097.708, dw = -0.07963, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 41, w1 = 6162.125, w2 = 6032.151, dw = -0.07877, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 42, w1 = 6096.578, w2 = 5967.989, dw = -0.07793, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 43, w1 = 6032.411, w2 = 5905.178, dw = -0.07711, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 44, w1 = 5969.581, w2 = 5843.675, dw = -0.07631, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 45, w1 = 5908.047, w2 = 5783.441, dw = -0.07552, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 46, w1 = 5847.768, w2 = 5724.435, dw = -0.07475, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 47, w1 = 5788.706, w2 = 5666.622, dw = -0.07399, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 48, w1 = 5730.827, w2 = 5609.966, dw = -0.07325, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 49, w1 = 5674.093, w2 = 5554.431, dw = -0.07252, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 50, w1 = 5618.471, w2 = 5499.985, dw = -0.07181, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 51, w1 = 5563.93, w2 = 5446.596, dw = -0.07111, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 52, w1 = 5510.438, w2 = 5394.235, dw = -0.07043, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 53, w1 = 5457.964, w2 = 5342.871, dw = -0.06975, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 54, w1 = 5406.481, w2 = 5292.476, dw = -0.06909, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 55, w1 = 5355.96, w2 = 5243.023, dw = -0.06845, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 56, w1 = 5306.374, w2 = 5194.486, dw = -0.06781, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 57, w1 = 5257.699, w2 = 5146.839, dw = -0.06719, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 58, w1 = 5209.908, w2 = 5100.059, dw = -0.06658, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 59, w1 = 5162.979, w2 = 5054.122, dw = -0.06597, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 60, w1 = 5116.888, w2 = 5009.006, dw = -0.06538, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 61, w1 = 5071.612, w2 = 4964.688, dw = -0.0648, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 62, w1 = 5027.132, w2 = 4921.148, dw = -0.06423, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 63, w1 = 4983.424, w2 = 4878.365, dw = -0.06367, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 64, w1 = 4940.471, w2 = 4836.32, dw = -0.06312, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 65, w1 = 4898.252, w2 = 4794.993, dw = -0.06258, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 66, w1 = 4856.748, w2 = 4754.368, dw = -0.06205, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 67, w1 = 4815.942, w2 = 4714.425, dw = -0.06153, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 68, w1 = 4775.817, w2 = 4675.148, dw = -0.06101, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 69, w1 = 4736.355, w2 = 4636.52, dw = -0.06051, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 70, w1 = 4697.54, w2 = 4598.526, dw = -0.06001, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 71, w1 = 4659.356, w2 = 4561.15, dw = -0.05952, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 72, w1 = 4621.788, w2 = 4524.377, dw = -0.05904, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 73, w1 = 4584.822, w2 = 4488.192, dw = -0.05856, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 74, w1 = 4548.442, w2 = 4452.582, dw = -0.0581, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 75, w1 = 4512.636, w2 = 4417.532, dw = -0.05764, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 76, w1 = 4477.389, w2 = 4383.031, dw = -0.05719, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 77, w1 = 4442.689, w2 = 4349.065, dw = -0.05674, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 78, w1 = 4408.524, w2 = 4315.621, dw = -0.0563, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 79, w1 = 4374.88, w2 = 4282.688, dw = -0.05587, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 80, w1 = 4341.746, w2 = 4250.254, dw = -0.05545, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 81, w1 = 4309.11, w2 = 4218.309, dw = -0.05503, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 82, w1 = 4276.962, w2 = 4186.84, dw = -0.05462, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 83, w1 = 4245.29, w2 = 4155.837, dw = -0.05421, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 84, w1 = 4214.085, w2 = 4125.291, dw = -0.05381, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 85, w1 = 4183.335, w2 = 4095.191, dw = -0.05342, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 86, w1 = 4153.032, w2 = 4065.527, dw = -0.05303, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 87, w1 = 4123.164, w2 = 4036.29, dw = -0.05265, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 88, w1 = 4093.724, w2 = 4007.472, dw = -0.05227, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 89, w1 = 4064.702, w2 = 3979.062, dw = -0.0519, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.052, dw = -0.05154, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 91, w1 = 4007.876, w2 = 3923.435, dw = -0.05118, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 92, w1 = 3980.055, w2 = 3896.201, dw = -0.05082, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 93, w1 = 3952.619, w2 = 3869.343, dw = -0.05047, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 94, w1 = 3925.559, w2 = 3842.853, dw = -0.05012, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 95, w1 = 3898.867, w2 = 3816.724, dw = -0.04978, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 96, w1 = 3872.537, w2 = 3790.948, dw = -0.04945, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 97, w1 = 3846.56, w2 = 3765.518, dw = -0.04912, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 98, w1 = 3820.93, w2 = 3740.428, dw = -0.04879, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 99, w1 = 3795.641, w2 = 3715.67, dw = -0.04847, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 100, w1 = 3770.684, w2 = 3691.239, dw = -0.04815, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 101, w1 = 3746.054, w2 = 3667.126, dw = -0.04783, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 102, w1 = 3721.744, w2 = 3643.328, dw = -0.04753, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 103, w1 = 3697.749, w2 = 3619.836, dw = -0.04722, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 104, w1 = 3674.062, w2 = 3596.646, dw = -0.04692, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 105, w1 = 3650.676, w2 = 3573.752, dw = -0.04662, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 106, w1 = 3627.588, w2 = 3551.147, dw = -0.04633, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 107, w1 = 3604.79, w2 = 3528.828, dw = -0.04604, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 108, w1 = 3582.278, w2 = 3506.787, dw = -0.04575, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 109, w1 = 3560.046, w2 = 3485.021, dw = -0.04547, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 110, w1 = 3538.09, w2 = 3463.523, dw = -0.04519, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 111, w1 = 3516.403, w2 = 3442.29, dw = -0.04492, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 112, w1 = 3494.981, w2 = 3421.316, dw = -0.04465, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 113, w1 = 3473.82, w2 = 3400.596, dw = -0.04438, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 114, w1 = 3452.914, w2 = 3380.127, dw = -0.04411, nw = 1651 zEchelleThAr.0028.ec.fits: ap = 115, w1 = 3432.259, w2 = 3359.902, dw = -0.04385, nw = 1651 EchelleThAr.0029.ec.fits: REFSPEC1 = 'EchelleThAr.0029.ec 1.' zEchelleThAr.0029.ec.fits: ap = 1, w1 = 10812.26, w2 = 10584.03, dw = -0.13832, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 2, w1 = 10612.04, w2 = 10388.05, dw = -0.13575, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 3, w1 = 10419.1, w2 = 10199.2, dw = -0.13328, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 4, w1 = 10233.06, w2 = 10017.09, dw = -0.13089, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 5, w1 = 10053.54, w2 = 9841.365, dw = -0.12859, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 6, w1 = 9880.215, w2 = 9671.703, dw = -0.12637, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 7, w1 = 9712.764, w2 = 9507.792, dw = -0.12423, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 8, w1 = 9550.895, w2 = 9349.344, dw = -0.12215, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 9, w1 = 9394.333, w2 = 9196.091, dw = -0.12015, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 10, w1 = 9242.822, w2 = 9047.782, dw = -0.11821, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 11, w1 = 9096.12, w2 = 8904.18, dw = -0.11633, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 12, w1 = 8954.004, w2 = 8765.066, dw = -0.11451, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 13, w1 = 8816.26, w2 = 8630.233, dw = -0.11274, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 14, w1 = 8682.69, w2 = 8499.485, dw = -0.11103, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 15, w1 = 8553.108, w2 = 8372.64, dw = -0.10937, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 16, w1 = 8427.337, w2 = 8249.526, dw = -0.10776, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 17, w1 = 8305.211, w2 = 8129.98, dw = -0.1062, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 18, w1 = 8186.576, w2 = 8013.849, dw = -0.10468, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 19, w1 = 8071.282, w2 = 7900.99, dw = -0.10321, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 20, w1 = 7959.19, w2 = 7791.266, dw = -0.10177, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 21, w1 = 7850.17, w2 = 7684.548, dw = -0.10038, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 22, w1 = 7744.097, w2 = 7580.715, dw = -0.09902, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 23, w1 = 7640.852, w2 = 7479.65, dw = -0.0977, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 24, w1 = 7540.324, w2 = 7381.244, dw = -0.09641, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 25, w1 = 7442.407, w2 = 7285.395, dw = -0.09516, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 26, w1 = 7347.001, w2 = 7192.004, dw = -0.09394, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 27, w1 = 7254.011, w2 = 7100.977, dw = -0.09275, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 28, w1 = 7163.345, w2 = 7012.225, dw = -0.09159, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 29, w1 = 7074.918, w2 = 6925.665, dw = -0.09046, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 30, w1 = 6988.648, w2 = 6841.216, dw = -0.08935, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 31, w1 = 6904.457, w2 = 6758.803, dw = -0.08828, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 32, w1 = 6822.271, w2 = 6678.351, dw = -0.08722, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 33, w1 = 6742.018, w2 = 6599.793, dw = -0.0862, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 34, w1 = 6663.632, w2 = 6523.061, dw = -0.08519, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 35, w1 = 6587.047, w2 = 6448.094, dw = -0.08421, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 36, w1 = 6512.204, w2 = 6374.83, dw = -0.08326, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 37, w1 = 6439.042, w2 = 6303.213, dw = -0.08232, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 38, w1 = 6367.506, w2 = 6233.188, dw = -0.0814, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 39, w1 = 6297.542, w2 = 6164.702, dw = -0.08051, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 40, w1 = 6229.1, w2 = 6097.704, dw = -0.07963, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 41, w1 = 6162.129, w2 = 6032.148, dw = -0.07878, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 42, w1 = 6096.583, w2 = 5967.986, dw = -0.07794, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 43, w1 = 6032.417, w2 = 5905.175, dw = -0.07712, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 44, w1 = 5969.589, w2 = 5843.673, dw = -0.07631, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 45, w1 = 5908.055, w2 = 5783.439, dw = -0.07552, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 46, w1 = 5847.777, w2 = 5724.435, dw = -0.07475, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 47, w1 = 5788.718, w2 = 5666.622, dw = -0.074, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 48, w1 = 5730.839, w2 = 5609.966, dw = -0.07326, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 49, w1 = 5674.107, w2 = 5554.432, dw = -0.07253, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 50, w1 = 5618.486, w2 = 5499.987, dw = -0.07182, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 51, w1 = 5563.946, w2 = 5446.599, dw = -0.07112, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 52, w1 = 5510.455, w2 = 5394.238, dw = -0.07043, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 53, w1 = 5457.983, w2 = 5342.875, dw = -0.06976, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 54, w1 = 5406.501, w2 = 5292.48, dw = -0.0691, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 55, w1 = 5355.981, w2 = 5243.028, dw = -0.06846, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 56, w1 = 5306.397, w2 = 5194.491, dw = -0.06782, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 57, w1 = 5257.723, w2 = 5146.846, dw = -0.0672, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 58, w1 = 5209.934, w2 = 5100.066, dw = -0.06659, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 59, w1 = 5163.005, w2 = 5054.13, dw = -0.06599, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 60, w1 = 5116.915, w2 = 5009.014, dw = -0.06539, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 61, w1 = 5071.641, w2 = 4964.696, dw = -0.06481, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 62, w1 = 5027.161, w2 = 4921.157, dw = -0.06424, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 63, w1 = 4983.454, w2 = 4878.374, dw = -0.06368, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 64, w1 = 4940.501, w2 = 4836.329, dw = -0.06313, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 65, w1 = 4898.283, w2 = 4795.003, dw = -0.06259, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 66, w1 = 4856.78, w2 = 4754.378, dw = -0.06206, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 67, w1 = 4815.975, w2 = 4714.435, dw = -0.06154, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 68, w1 = 4775.849, w2 = 4675.158, dw = -0.06103, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 69, w1 = 4736.388, w2 = 4636.53, dw = -0.06052, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 70, w1 = 4697.573, w2 = 4598.536, dw = -0.06002, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 71, w1 = 4659.389, w2 = 4561.16, dw = -0.05953, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 72, w1 = 4621.821, w2 = 4524.386, dw = -0.05905, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 73, w1 = 4584.854, w2 = 4488.201, dw = -0.05858, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 74, w1 = 4548.474, w2 = 4452.59, dw = -0.05811, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 75, w1 = 4512.667, w2 = 4417.54, dw = -0.05765, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 76, w1 = 4477.42, w2 = 4383.038, dw = -0.0572, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 77, w1 = 4442.719, w2 = 4349.071, dw = -0.05676, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 78, w1 = 4408.552, w2 = 4315.626, dw = -0.05632, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 79, w1 = 4374.907, w2 = 4282.692, dw = -0.05589, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 80, w1 = 4341.771, w2 = 4250.257, dw = -0.05546, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 81, w1 = 4309.134, w2 = 4218.31, dw = -0.05504, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 82, w1 = 4276.984, w2 = 4186.84, dw = -0.05463, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 83, w1 = 4245.311, w2 = 4155.835, dw = -0.05423, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 84, w1 = 4214.103, w2 = 4125.287, dw = -0.05383, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 85, w1 = 4183.351, w2 = 4095.185, dw = -0.05343, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 86, w1 = 4153.045, w2 = 4065.519, dw = -0.05305, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 87, w1 = 4123.174, w2 = 4036.28, dw = -0.05266, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 88, w1 = 4093.731, w2 = 4007.458, dw = -0.05229, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 89, w1 = 4064.705, w2 = 3979.046, dw = -0.05191, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 90, w1 = 4036.088, w2 = 3951.033, dw = -0.05155, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 91, w1 = 4007.872, w2 = 3923.412, dw = -0.05119, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 92, w1 = 3980.047, w2 = 3896.175, dw = -0.05083, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 93, w1 = 3952.607, w2 = 3869.314, dw = -0.05048, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 94, w1 = 3925.542, w2 = 3842.82, dw = -0.05013, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 95, w1 = 3898.846, w2 = 3816.687, dw = -0.04979, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 96, w1 = 3872.51, w2 = 3790.907, dw = -0.04946, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 97, w1 = 3846.528, w2 = 3765.472, dw = -0.04912, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 98, w1 = 3820.893, w2 = 3740.377, dw = -0.0488, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 99, w1 = 3795.597, w2 = 3715.614, dw = -0.04847, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 100, w1 = 3770.634, w2 = 3691.177, dw = -0.04816, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 101, w1 = 3745.998, w2 = 3667.06, dw = -0.04784, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 102, w1 = 3721.681, w2 = 3643.255, dw = -0.04753, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 103, w1 = 3697.679, w2 = 3619.757, dw = -0.04723, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 104, w1 = 3673.984, w2 = 3596.561, dw = -0.04692, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 105, w1 = 3650.591, w2 = 3573.66, dw = -0.04663, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 106, w1 = 3627.495, w2 = 3551.049, dw = -0.04633, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 107, w1 = 3604.689, w2 = 3528.722, dw = -0.04604, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 108, w1 = 3582.168, w2 = 3506.674, dw = -0.04575, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 109, w1 = 3559.927, w2 = 3484.899, dw = -0.04547, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 110, w1 = 3537.961, w2 = 3463.394, dw = -0.04519, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 111, w1 = 3516.264, w2 = 3442.152, dw = -0.04492, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 112, w1 = 3494.832, w2 = 3421.169, dw = -0.04464, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 113, w1 = 3473.661, w2 = 3400.44, dw = -0.04438, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 114, w1 = 3452.744, w2 = 3379.961, dw = -0.04411, nw = 1651 zEchelleThAr.0029.ec.fits: ap = 115, w1 = 3432.078, w2 = 3359.727, dw = -0.04385, nw = 1651 Continuum fitting the spectra... Singular solution Singular solution Singular solution Singular solution Singular solution Singular solution Combining spectra... Dec 10 11:28: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130606.0019.ec.fits[ 1] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 2] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 3] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 4] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 5] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 6] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 7] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 8] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 9] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 10] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 11] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 12] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 13] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 14] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 15] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 16] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 17] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 18] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 19] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 20] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 21] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 22] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 23] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 24] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 25] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 26] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 27] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 28] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 29] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 30] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 31] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 32] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 33] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 34] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 35] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 36] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 37] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 38] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 39] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 40] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 41] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 42] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 43] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 44] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 45] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 46] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 47] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 48] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 49] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 50] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 51] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 52] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 53] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 54] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 55] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 56] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 57] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 58] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 59] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 60] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 61] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 62] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 63] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 64] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 65] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 66] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 67] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 68] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 69] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 70] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 71] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 72] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 73] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 74] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 75] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 76] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 77] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 78] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 79] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 80] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 81] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 82] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 83] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 84] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 85] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 86] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 87] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 88] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 89] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 90] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 91] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 92] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 93] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 94] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 95] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 96] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 97] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 98] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[ 99] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[100] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[101] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[102] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[103] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[104] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[105] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[106] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[107] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[108] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[109] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[110] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[111] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[112] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[113] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[114] 1800.0 1.000 0. 0.009 130606.0019.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum130606.0019.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.742, w2 = 10812.21, dw = 0.04375823, nw = 170311., dtype = 0 Dec 10 11:29: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130606.0020.ec.fits[ 1] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 2] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 3] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 4] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 5] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 6] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 7] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 8] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 9] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 10] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 11] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 12] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 13] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 14] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 15] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 16] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 17] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 18] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 19] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 20] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 21] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 22] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 23] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 24] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 25] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 26] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 27] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 28] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 29] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 30] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 31] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 32] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 33] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 34] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 35] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 36] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 37] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 38] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 39] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 40] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 41] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 42] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 43] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 44] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 45] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 46] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 47] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 48] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 49] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 50] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 51] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 52] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 53] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 54] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 55] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 56] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 57] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 58] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 59] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 60] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 61] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 62] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 63] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 64] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 65] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 66] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 67] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 68] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 69] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 70] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 71] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 72] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 73] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 74] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 75] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 76] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 77] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 78] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 79] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 80] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 81] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 82] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 83] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 84] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 85] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 86] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 87] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 88] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 89] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 90] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 91] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 92] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 93] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 94] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 95] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 96] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 97] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 98] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[ 99] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[100] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[101] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[102] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[103] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[104] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[105] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[106] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[107] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[108] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[109] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[110] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[111] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[112] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[113] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[114] 1800.0 1.000 0. 0.009 130606.0020.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum130606.0020.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.801, w2 = 10812.2, dw = 0.043735, nw = 170400., dtype = 0 Dec 10 11:30: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130606.0021.ec.fits[ 1] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 2] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 3] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 4] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 5] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 6] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 7] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 8] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 9] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 10] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 11] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 12] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 13] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 14] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 15] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 16] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 17] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 18] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 19] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 20] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 21] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 22] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 23] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 24] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 25] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 26] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 27] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 28] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 29] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 30] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 31] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 32] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 33] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 34] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 35] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 36] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 37] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 38] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 39] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 40] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 41] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 42] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 43] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 44] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 45] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 46] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 47] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 48] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 49] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 50] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 51] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 52] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 53] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 54] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 55] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 56] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 57] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 58] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 59] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 60] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 61] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 62] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 63] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 64] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 65] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 66] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 67] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 68] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 69] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 70] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 71] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 72] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 73] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 74] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 75] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 76] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 77] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 78] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 79] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 80] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 81] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 82] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 83] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 84] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 85] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 86] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 87] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 88] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 89] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 90] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 91] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 92] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 93] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 94] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 95] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 96] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 97] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 98] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[ 99] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[100] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[101] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[102] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[103] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[104] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[105] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[106] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[107] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[108] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[109] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[110] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[111] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[112] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[113] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[114] 1800.0 1.000 0. 0.009 130606.0021.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum130606.0021.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.862, w2 = 10812.2, dw = 0.04371102, nw = 170492., dtype = 0 Dec 10 11:31: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130606.0022.ec.fits[ 1] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 2] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 3] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 4] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 5] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 6] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 7] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 8] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 9] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 10] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 11] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 12] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 13] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 14] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 15] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 16] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 17] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 18] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 19] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 20] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 21] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 22] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 23] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 24] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 25] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 26] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 27] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 28] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 29] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 30] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 31] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 32] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 33] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 34] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 35] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 36] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 37] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 38] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 39] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 40] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 41] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 42] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 43] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 44] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 45] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 46] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 47] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 48] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 49] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 50] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 51] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 52] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 53] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 54] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 55] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 56] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 57] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 58] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 59] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 60] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 61] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 62] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 63] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 64] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 65] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 66] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 67] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 68] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 69] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 70] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 71] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 72] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 73] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 74] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 75] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 76] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 77] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 78] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 79] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 80] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 81] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 82] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 83] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 84] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 85] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 86] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 87] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 88] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 89] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 90] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 91] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 92] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 93] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 94] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 95] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 96] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 97] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 98] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[ 99] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[100] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[101] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[102] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[103] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[104] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[105] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[106] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[107] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[108] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[109] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[110] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[111] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[112] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[113] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[114] 1800.0 1.000 0. 0.009 130606.0022.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sum130606.0022.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.913, w2 = 10812.19, dw = 0.04369121, nw = 170568., dtype = 0 Dec 10 11:32: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130606.0025.ec.fits[ 1] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 2] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 3] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 4] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 5] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 6] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 7] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 8] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 9] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 10] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 11] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 12] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 13] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 14] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 15] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 16] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 17] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 18] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 19] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 20] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 21] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 22] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 23] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 24] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 25] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 26] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 27] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 28] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 29] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 30] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 31] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 32] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 33] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 34] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 35] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 36] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 37] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 38] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 39] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 40] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 41] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 42] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 43] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 44] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 45] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 46] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 47] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 48] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 49] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 50] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 51] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 52] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 53] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 54] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 55] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 56] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 57] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 58] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 59] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 60] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 61] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 62] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 63] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 64] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 65] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 66] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 67] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 68] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 69] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 70] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 71] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 72] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 73] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 74] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 75] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 76] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 77] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 78] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 79] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 80] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 81] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 82] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 83] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 84] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 85] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 86] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 87] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 88] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 89] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 90] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 91] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 92] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 93] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 94] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 95] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 96] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 97] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 98] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[ 99] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[100] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[101] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[102] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[103] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[104] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[105] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[106] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[107] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[108] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[109] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[110] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[111] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[112] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[113] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[114] 1200.0 1.000 0. 0.009 130606.0025.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sum130606.0025.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.675, w2 = 10812.25, dw = 0.04382062, nw = 170071., dtype = 0 Dec 10 11:34: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight 130606.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 130606.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 130606.0027.ec.fits[100] 900.0 1.000 0. 0.009 130606.0027.ec.fits[101] 900.0 1.000 0. 0.009 130606.0027.ec.fits[102] 900.0 1.000 0. 0.009 130606.0027.ec.fits[103] 900.0 1.000 0. 0.009 130606.0027.ec.fits[104] 900.0 1.000 0. 0.009 130606.0027.ec.fits[105] 900.0 1.000 0. 0.009 130606.0027.ec.fits[106] 900.0 1.000 0. 0.009 130606.0027.ec.fits[107] 900.0 1.000 0. 0.009 130606.0027.ec.fits[108] 900.0 1.000 0. 0.009 130606.0027.ec.fits[109] 900.0 1.000 0. 0.009 130606.0027.ec.fits[110] 900.0 1.000 0. 0.009 130606.0027.ec.fits[111] 900.0 1.000 0. 0.009 130606.0027.ec.fits[112] 900.0 1.000 0. 0.009 130606.0027.ec.fits[113] 900.0 1.000 0. 0.009 130606.0027.ec.fits[114] 900.0 1.000 0. 0.009 130606.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sum130606.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.869, w2 = 10812.17, dw = 0.04384762, nw = 169960., dtype = 0 Dec 10 11:35: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130606.0019.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 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74] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont130606.0019.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont130606.0019.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.742, w2 = 10812.21, dw = 0.04375823, nw = 170311., dtype = 0 Dec 10 11:36: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130606.0020.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 18] 1800.0 1.000 0. 0.009 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37] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 55] 1800.0 1.000 0. 0.009 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74] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont130606.0020.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont130606.0020.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.801, w2 = 10812.2, dw = 0.043735, nw = 170400., dtype = 0 Dec 10 11:37: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130606.0021.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 18] 1800.0 1.000 0. 0.009 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37] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont130606.0021.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont130606.0021.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.862, w2 = 10812.2, dw = 0.04371102, nw = 170492., dtype = 0 Dec 10 11:38: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130606.0022.ec.fits[ 1] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 2] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 3] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 4] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 5] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 6] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 7] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 8] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 9] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 10] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 11] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 12] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 13] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 14] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 15] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 16] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 17] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 18] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 19] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 20] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 21] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 22] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 23] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 24] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 25] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 26] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 27] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 28] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 29] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 30] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 31] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 32] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 33] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 34] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 35] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 36] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 37] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 38] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 39] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 40] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 41] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 42] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 43] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 44] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 45] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 46] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 47] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 48] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 49] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 50] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 51] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 52] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 53] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 54] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 55] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 56] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 57] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 58] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 59] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 60] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 61] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 62] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 63] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 64] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 65] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 66] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 67] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 68] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 69] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 70] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 71] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 72] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 73] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 74] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 75] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 76] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 77] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 78] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 79] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 80] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 81] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 82] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 83] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 84] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 85] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 86] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 87] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 88] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 89] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 90] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 91] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 92] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 93] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 94] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 95] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 96] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 97] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 98] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[ 99] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[100] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[101] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[102] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[103] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[104] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[105] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[106] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[107] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[108] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[109] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[110] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[111] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[112] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[113] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[114] 1800.0 1.000 0. 0.009 fitcont130606.0022.ec.fits[115] 1800.0 1.000 0. 0.009 Output image = sumfitcont130606.0022.ec.fits, ncombine = 115, exptime = 207000. w1 = 3359.913, w2 = 10812.19, dw = 0.04369121, nw = 170568., dtype = 0 Dec 10 11:39: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130606.0025.ec.fits[ 1] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 2] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 3] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 4] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 5] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 6] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 7] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 8] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 9] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 10] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 11] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 12] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 13] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 14] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 15] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 16] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 17] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 18] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 19] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 20] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 21] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 22] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 23] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 24] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 25] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 26] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 27] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 28] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 29] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 30] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 31] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 32] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 33] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 34] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 35] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 36] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 37] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 38] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 39] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 40] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 41] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 42] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 43] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 44] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 45] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 46] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 47] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 48] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 49] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 50] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 51] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 52] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 53] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 54] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 55] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 56] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 57] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 58] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 59] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 60] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 61] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 62] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 63] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 64] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 65] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 66] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 67] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 68] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 69] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 70] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 71] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 72] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 73] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 74] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 75] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 76] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 77] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 78] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 79] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 80] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 81] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 82] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 83] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 84] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 85] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 86] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 87] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 88] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 89] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 90] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 91] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 92] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 93] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 94] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 95] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 96] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 97] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 98] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[ 99] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[100] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[101] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[102] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[103] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[104] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[105] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[106] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[107] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[108] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[109] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[110] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[111] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[112] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[113] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[114] 1200.0 1.000 0. 0.009 fitcont130606.0025.ec.fits[115] 1200.0 1.000 0. 0.009 Output image = sumfitcont130606.0025.ec.fits, ncombine = 115, exptime = 138000. w1 = 3359.675, w2 = 10812.25, dw = 0.04382062, nw = 170071., dtype = 0 Dec 10 11:40: SCOMBINE combine = sum blank = 0. Images Exp Scale Zero Weight fitcont130606.0027.ec.fits[ 1] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 2] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 3] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 4] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 5] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 6] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 7] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 8] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 9] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 10] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 11] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 12] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 13] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 14] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 15] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 16] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 17] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 18] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 19] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 20] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 21] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 22] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 23] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 24] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 25] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 26] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 27] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 28] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 29] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 30] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 31] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 32] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 33] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 34] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 35] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 36] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 37] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 38] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 39] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 40] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 41] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 42] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 43] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 44] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 45] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 46] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 47] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 48] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 49] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 50] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 51] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 52] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 53] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 54] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 55] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 56] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 57] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 58] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 59] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 60] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 61] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 62] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 63] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 64] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 65] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 66] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 67] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 68] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 69] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 70] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 71] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 72] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 73] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 74] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 75] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 76] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 77] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 78] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 79] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 80] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 81] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 82] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 83] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 84] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 85] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 86] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 87] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 88] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 89] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 90] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 91] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 92] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 93] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 94] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 95] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 96] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 97] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 98] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[ 99] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[100] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[101] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[102] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[103] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[104] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[105] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[106] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[107] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[108] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[109] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[110] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[111] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[112] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[113] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[114] 900.0 1.000 0. 0.009 fitcont130606.0027.ec.fits[115] 900.0 1.000 0. 0.009 Output image = sumfitcont130606.0027.ec.fits, ncombine = 115, exptime = 103500. w1 = 3359.869, w2 = 10812.17, dw = 0.04384762, nw = 169960., dtype = 0 207000. fullspec130606.0019.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec130606.0019.ec.fits updated 207000. fullspec130606.0020.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec130606.0020.ec.fits updated 207000. fullspec130606.0021.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec130606.0021.ec.fits updated 207000. fullspec130606.0022.ec.fits,EXPTIME: 207000. -> 1800.0 fullspec130606.0022.ec.fits updated 138000. fullspec130606.0025.ec.fits,EXPTIME: 138000. -> 1200.0 fullspec130606.0025.ec.fits updated 103500. fullspec130606.0027.ec.fits,EXPTIME: 103500. -> 900.0 fullspec130606.0027.ec.fits updated ALL DONE! Yay! (=^.^=)