Reduction started at: 20050727-101245 Reading data from rxh3-20050727-090535.fits Reduction ID: default Read keywords into global array holo_keys Read binary table data into global array holo_data Finished reading data Converted positions to arcsec, times to elapsed seconds, and reversed x-axis Pattern extent: min = 2401.6 max = 2431.7 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.720 mm ----------------- Data Summary --------------------- Number of samples: 370025 This is a 80 GHz map Number of frequencies: 16 Frequencies (GHz): 80.338000 80.340000 80.342000 80.344000 80.346000 80.348000 80.350000 80.352000 80.354000 80.356000 80.358000 80.360000 80.362000 80.364000 80.366000 80.368000 item min max mean loreal -3.08105 3.20801 -0.01751 loimag -3.26904 3.21533 0.00302 hireal -5.00000 4.99756 -0.20410 hiimag -5.00000 4.99756 -0.18745 xpos -2431.16078 2431.73595 -3.88091 ypos -2401.60297 2402.29414 -0.02416 plock160 0.48340 1.99707 1.29183 lorefpwr -0.01709 1.58447 1.07482 losigpwr -4.54834 -0.12451 -4.27010 hirefpwr 0.05127 1.63086 1.12973 hisigpwr -4.45312 4.99756 -1.19700 encltemp 31.68945 32.86133 32.18584 flags 0.00000 256.00000 2.76738 phi-lock -1.74072 -0.31006 -1.07123 sindex 0.00000 128.00000 63.61104 time 0.00000 2041.98127 1015.29160 zeropt 0.00000 0.00488 0.00245 !!!Warning!!! philock max less than 0.2 !!!Warning!!! philock min less than -1.5 ---------------------------------------------------- Subtracting zeropt channel Data contains a total of 129 rows There are 121 data rows and 8 calibrator rows Calibrator rows: 0 21 42 63 84 105 126 128 Checking pointing along rasters... This map is more horizontally scanned than vertically Mean row spacing = 40.00525 arcsec Mean row spacing = 40.00526 arcsec (alternate estimator) Mean tracking incline = 0.55244 arcsec Mean pointing range = 1.39861 arcsec Mean pointing rms = 0.27420 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (-31, 70 ) arcsec Applying pointing lags: (0, 0 ) arcsec Deciphering frequencies... Selecting hi/lo channels using method 2 Doing geometric phase correction Status bits counts: bit: 0 1 2 3 4 5 6 7 8 set: 0 0 0 0 0 0 0 0 4000 Extracting frequencies Selecting all rows from the map (row = -1) Extracted frequency 0: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22673 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22673 data points No calibration requested... Creating template maps for gridding Using a grid cellsize of 40.0 arcseconds Using a grid of 128 points Grid has even number of points Maximum data offset = 2431.74 arcsec Grid extent = 2540 arcsec lambda_min = 0.00373025 scale = 0.00129968 Diffraction scale lambda/D = 51.3137 arcsec Gridding function extent = 307.882 arcsec Using Gaussian * Airy regridding function Gaussian FWHM = 153.941 arcsec Airy first null at 62.5858 arcsec Gridding frequency index 0 lambda = 0.00373164 metres, scale = 0.0012992 radians per metre Gridding real part of frequency 0... Gridding imag part of frequency 0... Pattern is holo(res.pattern0) Weights in holo(obs.real,wt0) and holo(obs.imag,wt0) Maximum amplitude = 3.08298 at (0.0, -40.01493689163285) arcsec Real: mean = 0.00114513 sum of squares = 811.665 Imag: mean = -0.00312113 sum of squares = 1009.14 Gridding frequency index 1 lambda = 0.00373155 metres, scale = 0.00129923 radians per metre Gridding real part of frequency 1... Gridding imag part of frequency 1... Pattern is holo(res.pattern1) Weights in holo(obs.real,wt1) and holo(obs.imag,wt1) Maximum amplitude = 3.09395 at (0.0, -40.013940751804832) arcsec Real: mean = 0.0016757 sum of squares = 855.706 Imag: mean = -0.00293793 sum of squares = 966.395 Gridding frequency index 2 lambda = 0.00373145 metres, scale = 0.00129926 radians per metre Gridding real part of frequency 2... Gridding imag part of frequency 2... Pattern is holo(res.pattern2) Weights in holo(obs.real,wt2) and holo(obs.imag,wt2) Maximum amplitude = 3.08608 at (0.0, -40.01294466157178) arcsec Real: mean = 0.00208724 sum of squares = 940.793 Imag: mean = -0.00272747 sum of squares = 884.821 Gridding frequency index 3 lambda = 0.00373136 metres, scale = 0.00129929 radians per metre Gridding real part of frequency 3... Gridding imag part of frequency 3... Pattern is holo(res.pattern3) Weights in holo(obs.real,wt3) and holo(obs.imag,wt3) Maximum amplitude = 3.12496 at (0.0, -40.011948620929999) arcsec Real: mean = 0.00227344 sum of squares = 1008.89 Imag: mean = -0.00237833 sum of squares = 822.838 Gridding frequency index 4 lambda = 0.00373127 metres, scale = 0.00129933 radians per metre Gridding real part of frequency 4... Gridding imag part of frequency 4... Pattern is holo(res.pattern4) Weights in holo(obs.real,wt4) and holo(obs.imag,wt4) Maximum amplitude = 3.131 at (0.0, -40.010952629875788) arcsec Real: mean = 0.00241255 sum of squares = 1006.38 Imag: mean = -0.00195782 sum of squares = 829.535 Gridding frequency index 5 lambda = 0.00373118 metres, scale = 0.00129936 radians per metre Gridding real part of frequency 5... Gridding imag part of frequency 5... Pattern is holo(res.pattern5) Weights in holo(obs.real,wt5) and holo(obs.imag,wt5) Maximum amplitude = 3.15101 at (0.0, -40.009956688405431) arcsec Real: mean = 0.00251856 sum of squares = 938.466 Imag: mean = -0.00156763 sum of squares = 901.067 Gridding frequency index 6 lambda = 0.00373108 metres, scale = 0.00129939 radians per metre Gridding real part of frequency 6... Gridding imag part of frequency 6... Pattern is holo(res.pattern6) Weights in holo(obs.real,wt6) and holo(obs.imag,wt6) Maximum amplitude = 3.15131 at (0.0, -40.008960796515247) arcsec Real: mean = 0.00224251 sum of squares = 858.414 Imag: mean = -0.00103751 sum of squares = 985.26 Gridding frequency index 7 lambda = 0.00373099 metres, scale = 0.00129942 radians per metre Gridding real part of frequency 7... Gridding imag part of frequency 7... Pattern is holo(res.pattern7) Weights in holo(obs.real,wt7) and holo(obs.imag,wt7) Maximum amplitude = 3.1562 at (0.0, -40.007964954201512) arcsec Real: mean = 0.00159952 sum of squares = 823.79 Imag: mean = -0.000710801 sum of squares = 1019.11 Gridding frequency index 8 lambda = 0.0037309 metres, scale = 0.00129946 radians per metre Gridding real part of frequency 8... Gridding imag part of frequency 8... Pattern is holo(res.pattern8) Weights in holo(obs.real,wt8) and holo(obs.imag,wt8) Maximum amplitude = 3.1565 at (0.0, -40.006969161460532) arcsec Real: mean = 0.00119403 sum of squares = 862.034 Imag: mean = -0.000906272 sum of squares = 984.144 Gridding frequency index 9 lambda = 0.0037308 metres, scale = 0.00129949 radians per metre Gridding real part of frequency 9... Gridding imag part of frequency 9... Pattern is holo(res.pattern9) Weights in holo(obs.real,wt9) and holo(obs.imag,wt9) Maximum amplitude = 3.15969 at (0.0, -40.005973418288612) arcsec Real: mean = 0.000891506 sum of squares = 941.654 Imag: mean = -0.00119099 sum of squares = 904.85 Gridding frequency index 10 lambda = 0.00373071 metres, scale = 0.00129952 radians per metre Gridding real part of frequency 10... Gridding imag part of frequency 10... Pattern is holo(res.pattern10) Weights in holo(obs.real,wt10) and holo(obs.imag,wt10) Maximum amplitude = 3.164 at (0.0, -40.004977724682043) arcsec Real: mean = 0.00062459 sum of squares = 1008.32 Imag: mean = -0.00140663 sum of squares = 841.947 Gridding frequency index 11 lambda = 0.00373062 metres, scale = 0.00129955 radians per metre Gridding real part of frequency 11... Gridding imag part of frequency 11... Pattern is holo(res.pattern11) Weights in holo(obs.real,wt11) and holo(obs.imag,wt11) Maximum amplitude = 3.15905 at (0.0, -40.00398208063713) arcsec Real: mean = 0.000491844 sum of squares = 1017.4 Imag: mean = -0.0018159 sum of squares = 836.124 Gridding frequency index 12 lambda = 0.00373053 metres, scale = 0.00129959 radians per metre Gridding real part of frequency 12... Gridding imag part of frequency 12... Pattern is holo(res.pattern12) Weights in holo(obs.real,wt12) and holo(obs.imag,wt12) Maximum amplitude = 3.145 at (0.0, -40.002986486150171) arcsec Real: mean = 0.000595015 sum of squares = 963.381 Imag: mean = -0.00232924 sum of squares = 896.638 Gridding frequency index 13 lambda = 0.00373043 metres, scale = 0.00129962 radians per metre Gridding real part of frequency 13... Gridding imag part of frequency 13... Pattern is holo(res.pattern13) Weights in holo(obs.real,wt13) and holo(obs.imag,wt13) Maximum amplitude = 3.13473 at (0.0, -40.001990941217464) arcsec Real: mean = 0.000788556 sum of squares = 881.165 Imag: mean = -0.00266552 sum of squares = 978.716 Gridding frequency index 14 lambda = 0.00373034 metres, scale = 0.00129965 radians per metre Gridding real part of frequency 14... Gridding imag part of frequency 14... Pattern is holo(res.pattern14) Weights in holo(obs.real,wt14) and holo(obs.imag,wt14) Maximum amplitude = 3.11987 at (0.0, -40.000995445835301) arcsec Real: mean = 0.0012631 sum of squares = 831.283 Imag: mean = -0.00295858 sum of squares = 1031.2 Gridding frequency index 15 lambda = 0.00373025 metres, scale = 0.00129968 radians per metre Gridding real part of frequency 15... Gridding imag part of frequency 15... Pattern is holo(res.pattern15) Weights in holo(obs.real,wt15) and holo(obs.imag,wt15) Maximum amplitude = 3.11259 at (0.0, -40.0) arcsec Real: mean = 0.00200843 sum of squares = 850.362 Imag: mean = -0.00298734 sum of squares = 1010.46 Masking frequency index 0 Mask scale size = 3.05775 Masking frequency index 1 Mask scale size = 3.05783 Masking frequency index 2 Mask scale size = 3.05791 Masking frequency index 3 Mask scale size = 3.05798 Masking frequency index 4 Mask scale size = 3.05806 Masking frequency index 5 Mask scale size = 3.05813 Masking frequency index 6 Mask scale size = 3.05821 Masking frequency index 7 Mask scale size = 3.05829 Masking frequency index 8 Mask scale size = 3.05836 Masking frequency index 9 Mask scale size = 3.05844 Masking frequency index 10 Mask scale size = 3.05851 Masking frequency index 11 Mask scale size = 3.05859 Masking frequency index 12 Mask scale size = 3.05867 Masking frequency index 13 Mask scale size = 3.05874 Masking frequency index 14 Mask scale size = 3.05882 Masking frequency index 15 Mask scale size = 3.0589 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.229492 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.241699 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.239258 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.239258 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.239258 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.234375 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.222168 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.229492 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.239258 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.231934 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.236816 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.234375 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.229492 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.224609 Median point-to-point PLL voltage change: 0.0219727 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.239258 Median point-to-point PLL voltage change: 0.0244141 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.236816 Median point-to-point PLL voltage change: 0.0219727 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = -1.205 98.606 Freq 1: Shift, scale = -1.644 97.225 Freq 2: Shift, scale = -2.0853 96.453 Freq 3: Shift, scale = -2.5247 97.073 Freq 4: Shift, scale = -2.967 98.363 Freq 5: Shift, scale = 2.865 99.456 Freq 6: Shift, scale = 2.4229 101.11 Freq 7: Shift, scale = 1.9838 102.74 Freq 8: Shift, scale = 1.5489 104.09 Freq 9: Shift, scale = 1.1166 104.5 Freq 10: Shift, scale = 0.68132 104.23 Freq 11: Shift, scale = 0.25175 103.65 Freq 12: Shift, scale = -0.18205 101.97 Freq 13: Shift, scale = -0.61391 100.33 Freq 14: Shift, scale = -1.038 98.92 Freq 15: Shift, scale = -1.4742 97.78 Calculating phase corrections for index 0 Calculating phase corrections for index 1 Calculating phase corrections for index 2 Calculating phase corrections for index 3 Calculating phase corrections for index 4 Calculating phase corrections for index 5 Calculating phase corrections for index 6 Calculating phase corrections for index 7 Calculating phase corrections for index 8 Calculating phase corrections for index 9 Calculating phase corrections for index 10 Calculating phase corrections for index 11 Calculating phase corrections for index 12 Calculating phase corrections for index 13 Calculating phase corrections for index 14 Calculating phase corrections for index 15 Apply near field corrections for frequency 0 Apply secondary diffraction correction for frequency 0 Apply near field corrections for frequency 1 Apply secondary diffraction correction for frequency 1 Apply near field corrections for frequency 2 Apply secondary diffraction correction for frequency 2 Apply near field corrections for frequency 3 Apply secondary diffraction correction for frequency 3 Apply near field corrections for frequency 4 Apply secondary diffraction correction for frequency 4 Apply near field corrections for frequency 5 Apply secondary diffraction correction for frequency 5 Apply near field corrections for frequency 6 Apply secondary diffraction correction for frequency 6 Apply near field corrections for frequency 7 Apply secondary diffraction correction for frequency 7 Apply near field corrections for frequency 8 Apply secondary diffraction correction for frequency 8 Apply near field corrections for frequency 9 Apply secondary diffraction correction for frequency 9 Apply near field corrections for frequency 10 Apply secondary diffraction correction for frequency 10 Apply near field corrections for frequency 11 Apply secondary diffraction correction for frequency 11 Apply near field corrections for frequency 12 Apply secondary diffraction correction for frequency 12 Apply near field corrections for frequency 13 Apply secondary diffraction correction for frequency 13 Apply near field corrections for frequency 14 Apply secondary diffraction correction for frequency 14 Apply near field corrections for frequency 15 Apply secondary diffraction correction for frequency 15 Fitting piston, pointing and defocus terms Fitting frequency 0 Minimiser fit code = 1 piston: -0.451 radians x offset: -0.0968 arcsec y offset: -0.367 arcsec defocus: 0.00222 mm Estimated x pointing error is -31.1 arcsec (used -31 arcsec) Estimated y pointing error is 69.63 arcsec (used 70 arcsec) Estimated defocus error is 2.722 mm (used 2.72 mm) Fitting frequency 1 Minimiser fit code = 1 piston: -0.455 radians x offset: -0.0804 arcsec y offset: -0.385 arcsec defocus: -0.000175 mm Estimated x pointing error is -31.08 arcsec (used -31 arcsec) Estimated y pointing error is 69.61 arcsec (used 70 arcsec) Estimated defocus error is 2.72 mm (used 2.72 mm) Fitting frequency 2 Minimiser fit code = 1 piston: -0.458 radians x offset: -0.119 arcsec y offset: -0.397 arcsec defocus: 0.000135 mm Estimated x pointing error is -31.12 arcsec (used -31 arcsec) Estimated y pointing error is 69.6 arcsec (used 70 arcsec) Estimated defocus error is 2.72 mm (used 2.72 mm) Fitting frequency 3 Minimiser fit code = 1 piston: -0.461 radians x offset: -0.0882 arcsec y offset: -0.421 arcsec defocus: -0.000558 mm Estimated x pointing error is -31.09 arcsec (used -31 arcsec) Estimated y pointing error is 69.58 arcsec (used 70 arcsec) Estimated defocus error is 2.719 mm (used 2.72 mm) Fitting frequency 4 Minimiser fit code = 1 piston: -0.463 radians x offset: -0.126 arcsec y offset: -0.417 arcsec defocus: 0.00171 mm Estimated x pointing error is -31.13 arcsec (used -31 arcsec) Estimated y pointing error is 69.58 arcsec (used 70 arcsec) Estimated defocus error is 2.722 mm (used 2.72 mm) Fitting frequency 5 Minimiser fit code = 3 piston: -0.476 radians x offset: -0.0678 arcsec y offset: -0.441 arcsec defocus: 0.00328 mm Estimated x pointing error is -31.07 arcsec (used -31 arcsec) Estimated y pointing error is 69.56 arcsec (used 70 arcsec) Estimated defocus error is 2.723 mm (used 2.72 mm) Fitting frequency 6 Minimiser fit code = 3 piston: -0.479 radians x offset: -0.0507 arcsec y offset: -0.443 arcsec defocus: 0.00445 mm Estimated x pointing error is -31.05 arcsec (used -31 arcsec) Estimated y pointing error is 69.56 arcsec (used 70 arcsec) Estimated defocus error is 2.724 mm (used 2.72 mm) Fitting frequency 7 Minimiser fit code = 3 piston: -0.48 radians x offset: 0.0104 arcsec y offset: -0.456 arcsec defocus: 0.00486 mm Estimated x pointing error is -30.99 arcsec (used -31 arcsec) Estimated y pointing error is 69.54 arcsec (used 70 arcsec) Estimated defocus error is 2.725 mm (used 2.72 mm) Fitting frequency 8 Minimiser fit code = 1 piston: -0.478 radians x offset: 0.0232 arcsec y offset: -0.478 arcsec defocus: 0.00139 mm Estimated x pointing error is -30.98 arcsec (used -31 arcsec) Estimated y pointing error is 69.52 arcsec (used 70 arcsec) Estimated defocus error is 2.721 mm (used 2.72 mm) Fitting frequency 9 Minimiser fit code = 3 piston: -0.477 radians x offset: 0.0688 arcsec y offset: -0.483 arcsec defocus: -0.00493 mm Estimated x pointing error is -30.93 arcsec (used -31 arcsec) Estimated y pointing error is 69.52 arcsec (used 70 arcsec) Estimated defocus error is 2.715 mm (used 2.72 mm) Fitting frequency 10 Minimiser fit code = 3 piston: -0.475 radians x offset: 0.0524 arcsec y offset: -0.499 arcsec defocus: -0.00875 mm Estimated x pointing error is -30.95 arcsec (used -31 arcsec) Estimated y pointing error is 69.5 arcsec (used 70 arcsec) Estimated defocus error is 2.711 mm (used 2.72 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.47 radians x offset: 0.0883 arcsec y offset: -0.488 arcsec defocus: -0.0131 mm Estimated x pointing error is -30.91 arcsec (used -31 arcsec) Estimated y pointing error is 69.51 arcsec (used 70 arcsec) Estimated defocus error is 2.707 mm (used 2.72 mm) Fitting frequency 12 Minimiser fit code = 1 piston: -0.463 radians x offset: 0.0621 arcsec y offset: -0.469 arcsec defocus: -0.0128 mm Estimated x pointing error is -30.94 arcsec (used -31 arcsec) Estimated y pointing error is 69.53 arcsec (used 70 arcsec) Estimated defocus error is 2.707 mm (used 2.72 mm) Fitting frequency 13 Minimiser fit code = 3 piston: -0.455 radians x offset: 0.0914 arcsec y offset: -0.473 arcsec defocus: -0.00959 mm Estimated x pointing error is -30.91 arcsec (used -31 arcsec) Estimated y pointing error is 69.53 arcsec (used 70 arcsec) Estimated defocus error is 2.71 mm (used 2.72 mm) Fitting frequency 14 Minimiser fit code = 1 piston: -0.44 radians x offset: 0.097 arcsec y offset: -0.458 arcsec defocus: -0.00824 mm Estimated x pointing error is -30.9 arcsec (used -31 arcsec) Estimated y pointing error is 69.54 arcsec (used 70 arcsec) Estimated defocus error is 2.712 mm (used 2.72 mm) Fitting frequency 15 Minimiser fit code = 1 piston: -0.433 radians x offset: 0.0321 arcsec y offset: -0.464 arcsec defocus: -0.00202 mm Estimated x pointing error is -30.97 arcsec (used -31 arcsec) Estimated y pointing error is 69.54 arcsec (used 70 arcsec) Estimated defocus error is 2.718 mm (used 2.72 mm) Making masked surfaces in microns, and cubes Fitting Zernikes Fitting many Zernikes for frequency 0 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00120 piston 1 1 -0.00465 tilt_x 1 -1 0.01551 tilt_y 2 2 -0.00478 astigmatism_0 2 0 0.00155 curvature 2 -2 0.13909 astigmatism45 3 3 0.01591 trefoil_0 3 1 -0.02454 coma_x 3 -1 0.00198 coma_y 3 -3 -0.10936 trefoil_30 Fitting many Zernikes for frequency 1 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00120 piston 1 1 -0.00358 tilt_x 1 -1 0.01561 tilt_y 2 2 -0.00749 astigmatism_0 2 0 0.00174 curvature 2 -2 0.13930 astigmatism45 3 3 0.01541 trefoil_0 3 1 -0.02018 coma_x 3 -1 0.00216 coma_y 3 -3 -0.10973 trefoil_30 Fitting many Zernikes for frequency 2 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00139 piston 1 1 -0.00369 tilt_x 1 -1 0.01687 tilt_y 2 2 -0.00605 astigmatism_0 2 0 0.00111 curvature 2 -2 0.14081 astigmatism45 3 3 0.01487 trefoil_0 3 1 -0.02102 coma_x 3 -1 0.00515 coma_y 3 -3 -0.10599 trefoil_30 Fitting many Zernikes for frequency 3 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00144 piston 1 1 -0.00299 tilt_x 1 -1 0.01642 tilt_y 2 2 -0.00708 astigmatism_0 2 0 0.00093 curvature 2 -2 0.14023 astigmatism45 3 3 0.01480 trefoil_0 3 1 -0.01887 coma_x 3 -1 0.00359 coma_y 3 -3 -0.10861 trefoil_30 Fitting many Zernikes for frequency 4 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00153 piston 1 1 -0.00428 tilt_x 1 -1 0.01702 tilt_y 2 2 -0.00448 astigmatism_0 2 0 0.00023 curvature 2 -2 0.14123 astigmatism45 3 3 0.01593 trefoil_0 3 1 -0.02338 coma_x 3 -1 0.00429 coma_y 3 -3 -0.10613 trefoil_30 Fitting many Zernikes for frequency 5 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00143 piston 1 1 -0.00383 tilt_x 1 -1 0.01667 tilt_y 2 2 -0.00469 astigmatism_0 2 0 0.00043 curvature 2 -2 0.14011 astigmatism45 3 3 0.01347 trefoil_0 3 1 -0.02255 coma_x 3 -1 0.00360 coma_y 3 -3 -0.10766 trefoil_30 Fitting many Zernikes for frequency 6 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00130 piston 1 1 -0.00424 tilt_x 1 -1 0.01613 tilt_y 2 2 -0.00449 astigmatism_0 2 0 0.00071 curvature 2 -2 0.13998 astigmatism45 3 3 0.01301 trefoil_0 3 1 -0.02389 coma_x 3 -1 0.00197 coma_y 3 -3 -0.10655 trefoil_30 Fitting many Zernikes for frequency 7 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00117 piston 1 1 -0.00357 tilt_x 1 -1 0.01538 tilt_y 2 2 -0.00682 astigmatism_0 2 0 0.00116 curvature 2 -2 0.13708 astigmatism45 3 3 0.01181 trefoil_0 3 1 -0.02150 coma_x 3 -1 0.00134 coma_y 3 -3 -0.10713 trefoil_30 Fitting many Zernikes for frequency 8 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00108 piston 1 1 -0.00340 tilt_x 1 -1 0.01517 tilt_y 2 2 -0.00735 astigmatism_0 2 0 0.00161 curvature 2 -2 0.13708 astigmatism45 3 3 0.00963 trefoil_0 3 1 -0.02076 coma_x 3 -1 0.00073 coma_y 3 -3 -0.10693 trefoil_30 Fitting many Zernikes for frequency 9 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00100 piston 1 1 -0.00262 tilt_x 1 -1 0.01413 tilt_y 2 2 -0.00780 astigmatism_0 2 0 0.00195 curvature 2 -2 0.13486 astigmatism45 3 3 0.00745 trefoil_0 3 1 -0.01814 coma_x 3 -1 -0.00110 coma_y 3 -3 -0.10729 trefoil_30 Fitting many Zernikes for frequency 10 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00104 piston 1 1 -0.00247 tilt_x 1 -1 0.01510 tilt_y 2 2 -0.00636 astigmatism_0 2 0 0.00221 curvature 2 -2 0.13727 astigmatism45 3 3 0.00535 trefoil_0 3 1 -0.01773 coma_x 3 -1 0.00128 coma_y 3 -3 -0.10671 trefoil_30 Fitting many Zernikes for frequency 11 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00104 piston 1 1 -0.00175 tilt_x 1 -1 0.01480 tilt_y 2 2 -0.00773 astigmatism_0 2 0 0.00252 curvature 2 -2 0.13598 astigmatism45 3 3 0.00495 trefoil_0 3 1 -0.01470 coma_x 3 -1 0.00095 coma_y 3 -3 -0.10749 trefoil_30 Fitting many Zernikes for frequency 12 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00120 piston 1 1 -0.00223 tilt_x 1 -1 0.01630 tilt_y 2 2 -0.00653 astigmatism_0 2 0 0.00218 curvature 2 -2 0.13858 astigmatism45 3 3 0.00579 trefoil_0 3 1 -0.01634 coma_x 3 -1 0.00481 coma_y 3 -3 -0.10772 trefoil_30 Fitting many Zernikes for frequency 13 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00115 piston 1 1 -0.00191 tilt_x 1 -1 0.01664 tilt_y 2 2 -0.00760 astigmatism_0 2 0 0.00244 curvature 2 -2 0.13715 astigmatism45 3 3 0.00611 trefoil_0 3 1 -0.01500 coma_x 3 -1 0.00651 coma_y 3 -3 -0.10813 trefoil_30 Fitting many Zernikes for frequency 14 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00123 piston 1 1 -0.00185 tilt_x 1 -1 0.01692 tilt_y 2 2 -0.00692 astigmatism_0 2 0 0.00211 curvature 2 -2 0.13741 astigmatism45 3 3 0.00737 trefoil_0 3 1 -0.01522 coma_x 3 -1 0.00774 coma_y 3 -3 -0.10657 trefoil_30 Fitting many Zernikes for frequency 15 Using terms up to Zernike order 3 Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9 Minimiser fit code = 1 n l coeff name 0 0 -0.00138 piston 1 1 -0.00352 tilt_x 1 -1 0.01737 tilt_y 2 2 -0.00322 astigmatism_0 2 0 0.00137 curvature 2 -2 0.13694 astigmatism45 3 3 0.01151 trefoil_0 3 1 -0.02127 coma_x 3 -1 0.00927 coma_y 3 -3 -0.10942 trefoil_30 Averaged 16 maps to make holo(res.mean_surface) Computing differences from mean surface (phase) Unweighted rms analysis, frequency 0 Total errors: ring: 1 2 3 4 5 6 7 total rms: 51.4 37 31.9 47.6 40.2 48.2 62.2 50.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 51.2 36.9 31.2 45.8 36.9 42.1 55.1 46 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.53 3.73 6.76 11 16.4 23.5 32.4 21.1 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 50.9 36.8 31.1 44.4 40 48.6 62.7 49.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 50.7 36.7 30.3 42.6 36.7 42.2 55.7 45.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.3 3.43 6.53 10.8 16.4 23.6 32.4 21.1 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 49.6 36.7 30.9 41.9 39.7 47.7 62.4 48.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 49.5 36.6 30.1 40.2 36.5 41.5 54.9 44.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.37 3.53 6.64 10.9 16.4 23.5 32.3 21 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 47.7 36.6 30.6 41.2 40.2 48.1 63.5 49.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 47.6 36.6 29.8 39.2 37.2 41.9 55.8 44.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.25 3.37 6.51 10.9 16.5 23.6 32.4 21.1 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 46.3 37 30.6 40 40.2 47.9 63.9 48.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 46.2 36.9 29.9 38 37.2 41.6 56 44.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.48 3.69 6.77 11 16.5 23.6 32.4 21.1 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 45.9 37.6 31.4 39.5 40.9 47.7 64.6 49.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 45.7 37.6 30.7 37.4 38.1 41.6 56.5 44.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.43 3.61 6.69 10.9 16.4 23.5 32.3 21 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 45.1 38.1 31.2 38.9 40.8 48.1 64.6 49.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 45 38 30.5 36.8 38 41.7 56.8 44.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.49 3.69 6.74 10.9 16.4 23.4 32.2 21 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 44.6 38.1 31.9 38.8 41.3 47.9 64.2 49.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 44.5 38 31.3 36.5 38.6 41.8 56.5 44.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.36 3.48 6.5 10.7 16.1 23.1 31.8 20.7 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 45.4 39.3 32 40.2 41 48.5 63.9 49.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 45.2 39.2 31.4 38 38.3 42.2 56.5 45.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.32 3.42 6.46 10.7 16.1 23.1 31.8 20.6 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 47.5 40.6 31.7 41.5 40.8 48.5 61.8 49.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 47.4 40.5 31.1 39.4 38.2 42.4 54.6 45 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.19 3.22 6.24 10.5 15.9 22.8 31.4 20.4 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 49.6 40.4 32.2 42.6 40.2 48.8 62.3 49.7 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 49.5 40.3 31.6 40.6 37.6 42.6 55 45.5 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.17 3.23 6.31 10.6 16.1 23.1 31.7 20.6 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 51 39.8 32.4 43.3 40.4 49 62.1 49.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 50.9 39.7 31.7 41.3 37.9 42.7 55.2 45.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.02 3.04 6.14 10.5 16 23 31.6 20.5 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 51.1 38.9 32.5 43.8 39.9 48.8 62.2 50 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 50.9 38.9 31.7 42 37.2 42.4 54.9 45.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.13 3.21 6.34 10.7 16.2 23.3 32 20.8 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 50.4 38.2 32.1 44.7 40.6 49.2 62 50.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 50.2 38.2 31.4 43 38 42.8 55.1 46.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.09 3.15 6.27 10.6 16.1 23.2 31.8 20.7 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 49.7 37.2 31.6 47.1 40.3 48.7 62.4 50.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 49.6 37.1 30.9 45.3 37.8 42.3 55.1 46.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.13 3.19 6.31 10.6 16.1 23.1 31.7 20.6 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 48.5 36.4 31.2 45.4 40.5 49.4 62.2 49.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 48.3 36.3 30.6 43.6 38 42.9 55 45.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 1.44 3.59 6.62 10.8 16.2 23.2 32 20.8 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 46.2 37.1 30.1 37.7 39.4 47.2 61.6 47.9 Mean deviation is 0.88563292691251261 microns Taper = 10 dB, Ruze illumination-weighted rms = 46.7 micron Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm Sigma = 4.51193 (Taper = 12 dB) Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12) Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6) f = 650 GHz Ruze rms = 42.0 micron Centre pixel: 64.0 64.0 Value = 1926.65 (estimate), 3708.89 (perfect) Strehl = 0.269846 Strehl ratio estimate = 0.2698 Estimating beam: f = 900GHz Taper = 12dB defocus = 0mm Sigma = 4.51193 (Taper = 12 dB) Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12) Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6) f = 900 GHz Ruze rms = 40.5 micron Centre pixel: 64.0 64.0 Value = 1152.45 (estimate), 3708.89 (perfect) Strehl = 0.0965509 Strehl ratio estimate = 0.09655 Fitting panels... No Zernike terms to subtract before panel fitting edge scale = 0.15028 metres panel scale = 3.00000 metres mean frequency = 80.35300 GHz min edge weight = 0.1 # rng pan adj1 adj2 adj3 qsum 1 1 1 92.3 11.9 -33.7 99.0 2 1 2 106.0 -14.3 41.1 114.5 3 1 3 130.7 13.3 31.1 135.0 4 1 4 136.1 43.6 -4.2 143.0 5 1 5 30.7 -19.5 68.5 77.6 6 1 6 110.7 31.8 52.2 126.4 7 1 7 24.7 51.3 -15.0 58.9 8 1 8 28.9 46.4 58.9 80.4 9 1 9 20.9 -19.1 43.6 51.9 10 1 10 134.8 62.4 48.2 156.1 11 1 11 129.5 87.3 30.7 159.1 12 1 12 128.0 8.9 22.9 130.4 13 2 1 39.4 -46.7 -38.7 72.4 14 2 2 31.0 -72.9 -57.0 97.6 15 2 3 62.6 -38.9 -52.7 90.6 16 2 4 1.3 -35.6 -29.3 46.1 17 2 5 67.1 -37.9 8.8 77.5 18 2 6 71.3 -19.2 -2.1 73.9 19 2 7 2.1 -21.6 -12.9 25.2 20 2 8 92.1 -69.7 -64.1 132.1 21 2 9 30.0 -39.2 1.3 49.4 22 2 10 35.7 -13.2 26.6 46.4 23 2 11 20.1 -31.8 -5.4 38.0 24 2 12 6.1 -55.4 -56.4 79.3 25 2 13 18.2 32.2 -12.9 39.2 26 2 14 37.8 -74.9 -9.6 84.5 27 2 15 31.6 -0.6 -58.9 66.8 28 2 16 20.6 -2.0 -15.7 26.0 29 2 17 -0.1 -12.7 -26.8 29.7 30 2 18 44.3 -21.9 -69.4 85.2 31 2 19 2.2 -35.6 -53.6 64.3 32 2 20 83.8 -70.7 -18.3 111.2 33 2 21 88.2 37.4 -64.6 115.6 34 2 22 -50.5 -71.0 -75.5 115.3 35 2 23 117.0 -26.9 -31.4 124.1 36 2 24 65.2 -53.6 -91.7 124.6 37 3 1 -23.9 7.8 -34.6 42.8 38 3 2 -22.0 7.0 -56.4 61.0 39 3 3 -5.1 3.1 -77.2 77.5 40 3 4 -26.2 2.7 -53.4 59.5 41 3 5 -48.9 -12.4 -77.1 92.2 42 3 6 -41.3 11.9 -60.1 73.9 43 3 7 0.6 8.8 -74.7 75.2 44 3 8 -8.7 2.8 -43.4 44.4 45 3 9 19.9 -6.8 -69.1 72.3 46 3 10 46.2 24.1 -41.2 66.5 47 3 11 -24.5 12.4 -55.4 61.8 48 3 12 20.3 24.5 -27.8 42.3 49 3 13 -17.1 9.9 -38.5 43.2 50 3 14 -17.4 28.2 -47.6 57.9 51 3 15 -4.3 25.2 -24.0 35.1 52 3 16 14.1 23.7 -34.5 44.2 53 3 17 51.0 6.4 -40.0 65.1 54 3 18 37.1 31.6 -4.5 48.9 55 3 19 20.5 25.1 -87.4 93.3 56 3 20 -46.9 3.3 -40.9 62.3 57 3 21 -43.5 11.4 -66.9 80.6 58 3 22 1.0 31.4 -4.7 31.8 59 3 23 -48.6 12.9 -35.6 61.7 60 3 24 9.0 1.3 -44.8 45.8 61 3 25 -10.6 -4.2 -33.5 35.4 62 3 26 -51.4 6.1 -1.1 51.7 63 3 27 -55.1 11.4 -69.5 89.4 64 3 28 -22.3 -3.6 -92.9 95.6 65 3 29 -15.2 -15.0 -51.9 56.1 66 3 30 0.4 3.7 -60.3 60.4 67 3 31 -34.2 23.4 -27.0 49.4 68 3 32 -21.4 -12.8 -87.8 91.3 69 3 33 -13.0 19.2 -37.4 44.0 70 3 34 17.3 12.1 -26.3 33.8 71 3 35 -8.7 31.9 -81.6 88.0 72 3 36 50.5 12.0 -32.3 61.1 73 3 37 -40.4 10.7 -81.1 91.3 74 3 38 -38.8 30.3 -63.6 80.4 75 3 39 13.4 10.6 -61.6 63.9 76 3 40 -11.7 30.0 -68.9 76.1 77 3 41 19.2 30.3 -13.0 38.2 78 3 42 31.6 36.0 -31.4 57.3 79 3 43 -13.8 38.9 -40.3 57.7 80 3 44 24.3 7.4 -2.1 25.5 81 3 45 4.1 26.3 -65.6 70.8 82 3 46 14.5 18.2 -58.6 63.0 83 3 47 -58.9 9.9 -59.7 84.5 84 3 48 18.9 0.5 -54.4 57.6 85 4 1 -42.4 -25.7 -10.7 50.8 86 4 2 -5.9 -17.9 -117.3 118.9 87 4 3 -46.4 -20.1 -94.3 107.0 88 4 4 -26.0 -10.1 -128.4 131.4 89 4 5 2.6 -4.5 -70.1 70.3 90 4 6 -22.3 10.6 -79.0 82.8 91 4 7 -26.3 5.6 -37.1 45.8 92 4 8 -47.4 11.2 -88.4 100.9 93 4 9 -18.8 2.6 -39.2 43.6 94 4 10 -39.1 19.4 -64.4 77.8 95 4 11 -7.8 -18.1 -111.9 113.7 96 4 12 -82.9 49.7 -75.9 122.8 97 4 13 -4.1 14.4 10.0 18.0 98 4 14 55.4 14.3 -58.4 81.8 99 4 15 -58.9 -22.1 -66.1 91.3 100 4 16 -74.8 58.2 -45.3 105.1 101 4 17 -20.7 26.9 -70.2 78.0 102 4 18 19.6 21.0 -11.3 30.9 103 4 19 -59.9 8.8 -57.8 83.7 104 4 20 -12.6 23.2 -58.3 64.0 105 4 21 -21.2 6.4 -28.3 35.9 106 4 22 -125.6 23.9 57.8 140.3 107 4 23 -63.5 4.4 14.2 65.2 108 4 24 -49.7 24.9 19.7 59.0 109 4 25 -66.8 32.9 14.2 75.8 110 4 26 -29.9 13.1 -69.2 76.6 111 4 27 -47.2 42.0 38.5 74.0 112 4 28 -55.7 -27.0 -2.0 61.9 113 4 29 -120.3 2.7 -105.7 160.2 114 4 30 -106.3 -23.1 -24.1 111.4 115 4 31 -81.4 -20.3 -80.3 116.1 116 4 32 -92.4 -34.7 -56.4 113.7 117 4 33 -69.4 1.0 -20.2 72.3 118 4 34 -25.4 -21.8 -81.8 88.3 119 4 35 -27.1 12.7 -110.1 114.1 120 4 36 -70.5 10.3 -90.0 114.8 121 4 37 -59.1 31.5 -76.5 101.7 122 4 38 -27.5 -7.1 -113.0 116.5 123 4 39 -9.2 37.0 -1.2 38.2 124 4 40 8.0 24.1 -19.8 32.2 125 4 41 -15.5 76.6 -40.7 88.1 126 4 42 -12.8 38.6 -61.6 73.8 127 4 43 -38.5 27.0 -100.3 110.8 128 4 44 21.9 26.0 -27.4 43.7 129 4 45 13.9 24.6 -62.2 68.4 130 4 46 -15.4 -12.0 -74.3 76.8 131 4 47 -9.2 3.3 -97.2 97.7 132 4 48 -48.4 -18.8 -29.0 59.4 133 5 1 12.1 31.2 -40.1 52.2 134 5 2 -20.6 1.2 -44.8 49.3 135 5 3 -58.8 29.4 -92.3 113.3 136 5 4 -38.7 -13.2 -81.0 90.7 137 5 5 -36.8 -22.7 -121.4 128.9 138 5 6 -24.0 9.5 -116.4 119.3 139 5 7 -4.5 49.1 -27.4 56.4 140 5 8 -21.7 40.0 -82.2 93.9 141 5 9 -1.8 13.6 -40.8 43.0 142 5 10 -43.7 17.9 -71.7 85.9 143 5 11 -18.8 18.2 -6.7 27.1 144 5 12 -33.4 69.6 -35.5 85.0 145 5 13 -13.5 35.9 -44.8 59.0 146 5 14 -30.5 35.5 -15.0 49.2 147 5 15 -11.3 5.1 -60.4 61.6 148 5 16 -6.2 50.0 -14.6 52.4 149 5 17 13.6 23.5 44.0 51.7 150 5 18 7.6 16.3 155.9 156.9 151 5 19 -49.4 5.1 -47.1 68.5 152 5 20 -80.6 -10.4 -52.1 96.5 153 5 21 4.7 48.2 7.2 49.0 154 5 22 -11.6 28.7 12.6 33.4 155 5 23 -24.8 18.3 46.7 56.0 156 5 24 72.2 42.7 47.0 96.1 157 5 25 55.4 48.3 16.5 75.3 158 5 26 -17.7 20.5 36.6 45.6 159 5 27 10.8 20.5 -74.8 78.3 160 5 28 -40.1 12.8 -25.2 49.0 161 5 29 1.4 17.6 -67.8 70.0 162 5 30 -28.2 -14.6 35.9 47.9 163 5 31 -53.5 -2.8 -61.6 81.7 164 5 32 -98.0 -40.6 -31.6 110.7 165 5 33 -56.0 3.3 -77.6 95.8 166 5 34 -49.8 -62.3 -55.8 97.3 167 5 35 -22.5 7.8 -30.9 39.0 168 5 36 -53.6 5.3 -57.3 78.7 169 5 37 -29.3 44.2 -73.7 90.8 170 5 38 -39.7 31.8 -29.6 58.9 171 5 39 6.3 110.0 -62.6 126.7 172 5 40 -15.2 36.6 -22.5 45.6 173 5 41 46.7 80.4 11.0 93.6 174 5 42 -15.0 39.7 -48.4 64.3 175 5 43 3.4 36.8 -62.9 73.0 176 5 44 30.7 21.9 -51.5 63.9 177 5 45 36.8 50.0 -75.7 97.9 178 5 46 8.1 52.5 -58.8 79.3 179 5 47 -21.7 10.7 -48.2 53.9 180 5 48 9.1 37.8 -40.3 56.0 181 6 1 -8.5 15.1 -67.2 69.4 182 6 2 -23.0 -18.8 -92.9 97.5 183 6 3 -59.5 -19.0 -115.1 130.9 184 6 4 -39.7 -23.3 -149.5 156.5 185 6 5 -35.7 -29.6 -87.8 99.3 186 6 6 -24.1 1.4 -96.9 99.8 187 6 7 -15.2 -17.7 -101.2 103.8 188 6 8 -34.7 1.0 -72.6 80.5 189 6 9 -29.7 -6.1 -67.4 73.9 190 6 10 -101.2 54.0 -69.0 133.9 191 6 11 54.3 25.5 -26.6 65.7 192 6 12 -1.7 28.0 -25.8 38.1 193 6 13 -2.5 28.4 -65.5 71.4 194 6 14 -9.8 46.0 -91.0 102.4 195 6 15 -55.1 14.6 -64.3 85.9 196 6 16 -40.6 41.5 -94.3 110.7 197 6 17 -57.3 1.1 -62.5 84.8 198 6 18 -55.3 37.8 -159.3 172.8 199 6 19 44.3 22.3 -4.5 49.8 200 6 20 -8.5 48.4 82.3 95.9 201 6 21 -36.6 61.1 -38.2 80.8 202 6 22 34.3 94.4 -5.1 100.6 203 6 23 33.1 62.9 117.2 137.1 204 6 24 8.0 52.6 7.5 53.8 205 6 25 -36.2 50.0 -87.7 107.3 206 6 26 -1.6 -11.9 -31.5 33.7 207 6 27 -99.7 22.6 -62.4 119.7 208 6 28 -120.0 -44.7 -79.8 150.9 209 6 29 -139.3 44.5 -74.2 164.0 210 6 30 -67.6 18.6 28.5 75.7 211 6 31 -61.8 33.5 -26.9 75.3 212 6 32 -77.8 -100.1 -6.7 127.0 213 6 33 -109.5 2.8 -64.0 126.8 214 6 34 -142.7 -4.7 -118.8 185.7 215 6 35 -46.8 -5.6 -47.9 67.2 216 6 36 -29.2 24.2 19.5 42.7 217 6 37 -4.0 23.1 29.4 37.5 218 6 38 52.5 61.1 1.6 80.6 219 6 39 7.7 92.5 15.7 94.2 220 6 40 34.2 82.2 -16.1 90.4 221 6 41 24.9 65.7 4.0 70.4 222 6 42 73.6 15.2 39.7 85.0 223 6 43 -18.7 32.1 70.7 79.9 224 6 44 11.0 27.1 32.8 44.0 225 6 45 22.5 91.5 -87.9 128.9 226 6 46 -9.3 48.9 -43.4 66.0 227 6 47 -12.1 23.6 -27.4 38.1 228 6 48 3.6 19.8 -17.2 26.4 229 7 1 -47.7 48.1 -43.4 80.5 230 7 2 -78.0 -14.7 -84.3 115.8 231 7 3 -53.0 -9.2 -77.1 94.0 232 7 4 -19.7 -88.0 -33.0 96.0 233 7 5 -33.2 -39.6 -73.2 89.6 234 7 6 -52.8 26.1 -72.0 93.0 235 7 7 -36.9 2.7 -50.4 62.5 236 7 8 3.2 15.0 -57.8 59.7 237 7 9 38.8 -73.1 12.8 83.7 238 7 10 -14.0 81.2 7.8 82.7 239 7 11 21.9 31.1 -15.7 41.1 240 7 12 22.7 66.0 44.9 83.0 241 7 13 -26.9 63.3 -3.5 68.8 242 7 14 -26.7 71.5 13.3 77.4 243 7 15 -44.7 27.7 4.7 52.8 244 7 16 -3.8 -37.3 -25.0 45.1 245 7 17 5.5 35.7 -18.6 40.6 246 7 18 -23.5 86.7 -20.0 92.0 247 7 19 33.7 21.0 74.0 84.0 248 7 20 26.6 25.1 -18.1 40.8 249 7 21 101.6 -11.3 142.2 175.2 250 7 22 -2.7 63.6 104.3 122.2 251 7 23 115.5 84.8 55.8 153.7 252 7 24 51.2 72.0 70.9 113.3 253 7 25 -10.0 65.8 -15.2 68.2 254 7 26 1.2 64.2 -9.6 65.0 255 7 27 -41.2 82.3 2.4 92.1 256 7 28 -59.2 -110.3 240.5 271.1 257 7 29 13.1 -109.0 -111.5 156.5 258 7 30 -38.5 -50.4 -75.9 98.9 259 7 31 -99.6 -24.9 -156.2 187.0 260 7 32 -25.3 -53.6 -133.2 145.8 261 7 33 -72.5 -26.5 -115.8 139.2 262 7 34 -16.8 -33.7 -120.2 126.0 263 7 35 -21.0 25.7 -70.2 77.6 264 7 36 22.0 17.8 -43.8 52.2 265 7 37 27.3 58.4 10.7 65.4 266 7 38 36.3 77.6 2.3 85.7 267 7 39 141.7 140.4 10.7 199.7 268 7 40 85.3 63.0 50.7 117.5 269 7 41 66.8 72.4 18.8 100.3 270 7 42 69.5 47.1 -0.5 84.0 271 7 43 -14.4 81.8 -53.4 98.7 272 7 44 40.9 79.6 -6.2 89.7 273 7 45 46.2 -23.1 34.0 61.9 274 7 46 100.2 38.6 3.9 107.5 275 7 47 35.5 72.7 -79.8 113.7 276 7 48 17.4 173.3 40.0 178.7 Creating sector-motor-move file sector motor steps 1 1 -10 1 2 -26 1 3 -6 1 4 -45 1 5 -7 1 6 -12 1 7 -23 1 8 -2 1 9 -16 1 10 -35 1 11 -5 1 12 -18 1 13 -25 1 14 -4 1 15 -23 1 16 -28 1 17 -5 1 18 -7 1 19 -13 1 20 14 1 21 -14 1 22 -20 1 23 4 1 24 -2 1 25 -24 1 26 -4 1 27 -11 1 28 -39 1 29 -3 1 30 -7 1 31 -28 1 32 9 1 33 -18 1 34 -28 1 35 -6 1 36 -14 1 37 -13 1 38 0 1 39 -6 1 40 -35 1 41 -5 1 42 -1 1 43 -12 1 44 9 1 45 3 1 46 -3 1 47 -7 1 48 -13 1 49 -23 1 50 0 1 51 -1 1 52 -17 1 53 -22 1 54 9 1 55 -17 1 56 2 1 57 -6 1 58 3 1 59 28 1 60 -10 1 61 -10 1 62 2 1 63 -7 1 64 -11 1 65 12 1 66 -11 1 67 -16 1 68 0 1 69 -8 2 1 -17 2 2 4 2 3 0 2 4 -22 2 5 0 2 6 -10 2 7 -15 2 8 0 2 9 -11 2 10 -31 2 11 -5 2 12 -4 2 13 -22 2 14 8 2 15 -16 2 16 -29 2 17 0 2 18 -7 2 19 -22 2 20 -12 2 21 -10 2 22 -26 2 23 -9 2 24 -10 2 25 -25 2 26 12 2 27 -6 2 28 -27 2 29 3 2 30 -14 2 31 -8 2 32 15 2 33 -1 2 34 -11 2 35 1 2 36 -8 2 37 -35 2 38 2 2 39 -7 2 40 -24 2 41 3 2 42 -6 2 43 -37 2 44 -6 2 45 -11 2 46 -21 2 47 -1 2 48 0 2 49 -22 2 50 2 2 51 0 2 52 -9 2 53 -10 2 54 0 2 55 -18 2 56 3 2 57 -12 2 58 -4 2 59 32 2 60 12 2 61 -23 2 62 -3 2 63 -15 2 64 -11 2 65 19 2 66 -16 2 67 -13 2 68 0 2 69 -2 3 1 13 3 2 20 3 3 6 3 4 -7 3 5 8 3 6 0 3 7 -4 3 8 9 3 9 6 3 10 -8 3 11 7 3 12 16 3 13 2 3 14 24 3 15 -4 3 16 -21 3 17 16 3 18 -31 3 19 3 3 20 -22 3 21 11 3 22 -20 3 23 -1 3 24 -9 3 25 -10 3 26 21 3 27 -10 3 28 -23 3 29 15 3 30 -25 3 31 -2 3 32 5 3 33 -5 3 34 -34 3 35 -5 3 36 -2 3 37 -22 3 38 5 3 39 -13 3 40 -19 3 41 5 3 42 -12 3 43 -12 3 44 4 3 45 0 3 46 -12 3 47 0 3 48 -5 3 49 -17 3 50 3 3 51 -7 3 52 0 3 53 -5 3 54 21 3 55 -12 3 56 7 3 57 14 3 58 4 3 59 40 3 60 9 3 61 -21 3 62 -2 3 63 6 3 64 -6 3 65 20 3 66 2 3 67 -8 3 68 7 3 69 6 4 1 -7 4 2 -11 4 3 -1 4 4 -28 4 5 12 4 6 -12 4 7 1 4 8 8 4 9 -13 4 10 -19 4 11 4 4 12 -16 4 13 4 4 14 21 4 15 -8 4 16 -27 4 17 14 4 18 -3 4 19 -1 4 20 19 4 21 -8 4 22 -20 4 23 8 4 24 0 4 25 -4 4 26 15 4 27 -1 4 28 -13 4 29 17 4 30 -22 4 31 -18 4 32 1 4 33 -3 4 34 -20 4 35 -6 4 36 -18 4 37 -4 4 38 10 4 39 -9 4 40 -17 4 41 4 4 42 17 4 43 -13 4 44 11 4 45 -4 4 46 3 4 47 4 4 48 -1 4 49 -7 4 50 7 4 51 -1 4 52 -19 4 53 -21 4 54 28 4 55 -14 4 56 8 4 57 -5 4 58 13 4 59 41 4 60 -1 4 61 -11 4 62 3 4 63 -5 4 64 -12 4 65 0 4 66 -3 4 67 -10 4 68 7 4 69 4 5 1 -5 5 2 7 5 3 8 5 4 25 5 5 14 5 6 -2 5 7 22 5 8 6 5 9 10 5 10 -1 5 11 6 5 12 13 5 13 -6 5 14 26 5 15 -7 5 16 -48 5 17 11 5 18 -16 5 19 -5 5 20 10 5 21 1 5 22 -19 5 23 0 5 24 -17 5 25 -15 5 26 -3 5 27 -24 5 28 -17 5 29 7 5 30 -3 5 31 -14 5 32 1 5 33 -15 5 34 -17 5 35 2 5 36 -18 5 37 47 5 38 5 5 39 2 5 40 -3 5 41 6 5 42 6 5 43 13 5 44 7 5 45 4 5 46 -21 5 47 8 5 48 -6 5 49 -26 5 50 7 5 51 6 5 52 8 5 53 -4 5 54 10 5 55 -1 5 56 9 5 57 11 5 58 -5 5 59 9 5 60 21 5 61 -12 5 62 1 5 63 15 5 64 -9 5 65 9 5 66 0 5 67 -12 5 68 1 5 69 -14 6 1 21 6 2 22 6 3 15 6 4 2 6 5 16 6 6 2 6 7 17 6 8 25 6 9 35 6 10 35 6 11 19 6 12 10 6 13 32 6 14 19 6 15 0 6 16 -1 6 17 28 6 18 10 6 19 43 6 20 -3 6 21 31 6 22 -11 6 23 18 6 24 -11 6 25 14 6 26 13 6 27 22 6 28 6 6 29 7 6 30 -15 6 31 14 6 32 5 6 33 -7 6 34 4 6 35 1 6 36 -19 6 37 3 6 38 8 6 39 -3 6 40 17 6 41 7 6 42 -38 6 43 2 6 44 14 6 45 1 6 46 -8 6 47 1 6 48 -6 6 49 -10 6 50 3 6 51 -14 6 52 -17 6 53 -16 6 54 1 6 55 -1 6 56 9 6 57 0 6 58 9 6 59 33 6 60 16 6 61 -20 6 62 3 6 63 -13 6 64 9 6 65 6 6 66 -1 6 67 -13 6 68 0 6 69 2 7 1 73 7 2 -33 7 3 -18 7 4 -24 7 5 -13 7 6 -36 7 7 0 7 8 25 7 9 -12 7 10 -19 7 11 6 7 12 -30 7 13 -2 7 14 19 7 15 0 7 16 -9 7 17 -3 7 18 0 7 19 -4 7 20 20 7 21 -3 7 22 -26 7 23 15 7 24 -11 7 25 -7 7 26 3 7 27 -12 7 28 0 7 29 -8 7 30 -17 7 31 -22 7 32 6 7 33 3 7 34 11 7 35 12 7 36 -14 7 37 11 7 38 6 7 39 -5 7 40 -21 7 41 4 7 42 -9 7 43 5 7 44 14 7 45 16 7 46 4 7 47 10 7 48 -20 7 49 -21 7 50 3 7 51 -16 7 52 -2 7 53 -22 7 54 11 7 55 0 7 56 1 7 57 -15 7 58 15 7 59 7 7 60 -4 7 61 -10 7 62 -1 7 63 -3 7 64 0 7 65 5 7 66 -3 7 67 -28 7 68 -1 7 69 -6 8 1 -40 8 2 -16 8 3 -7 8 4 -2 8 5 -30 8 6 -23 8 7 -47 8 8 -7 8 9 -30 8 10 -8 8 11 10 8 12 -18 8 13 -23 8 14 -15 8 15 -11 8 16 8 8 17 5 8 18 -20 8 19 -34 8 20 -33 8 21 4 8 22 -22 8 23 13 8 24 -42 8 25 -9 8 26 -12 8 27 -30 8 28 -17 8 29 -10 8 30 -28 8 31 -18 8 32 0 8 33 -16 8 34 -24 8 35 -6 8 36 -24 8 37 11 8 38 -4 8 39 -8 8 40 -7 8 41 -7 8 42 -32 8 43 -20 8 44 5 8 45 0 8 46 -32 8 47 0 8 48 -36 8 49 -8 8 50 7 8 51 -10 8 52 -4 8 53 0 8 54 6 8 55 -18 8 56 1 8 57 0 8 58 14 8 59 8 8 60 18 8 61 -15 8 62 -4 8 63 -4 8 64 -3 8 65 9 8 66 -18 8 67 -26 8 68 -3 8 69 -6 9 1 -13 9 2 5 9 3 6 9 4 5 9 5 7 9 6 -8 9 7 -21 9 8 7 9 9 -6 9 10 -14 9 11 -1 9 12 -14 9 13 -36 9 14 -10 9 15 -5 9 16 -36 9 17 -1 9 18 -43 9 19 -35 9 20 -8 9 21 -22 9 22 -19 9 23 0 9 24 -33 9 25 -17 9 26 1 9 27 -16 9 28 -27 9 29 3 9 30 -21 9 31 -9 9 32 2 9 33 -6 9 34 -33 9 35 3 9 36 -8 9 37 -17 9 38 -19 9 39 -15 9 40 -25 9 41 -6 9 42 -7 9 43 -23 9 44 1 9 45 -17 9 46 -6 9 47 0 9 48 -21 9 49 -25 9 50 9 9 51 -2 9 52 -21 9 53 -6 9 54 13 9 55 -8 9 56 3 9 57 5 9 58 -5 9 59 6 9 60 13 9 61 -11 9 62 5 9 63 -3 9 64 -10 9 65 0 9 66 -8 9 67 -9 9 68 3 9 69 15 10 1 15 10 2 19 10 3 26 10 4 -4 10 5 25 10 6 10 10 7 3 10 8 43 10 9 43 10 10 4 10 11 28 10 12 2 10 13 0 10 14 23 10 15 11 10 16 0 10 17 18 10 18 16 10 19 3 10 20 17 10 21 8 10 22 9 10 23 7 10 24 -1 10 25 -6 10 26 11 10 27 -4 10 28 -6 10 29 7 10 30 2 10 31 -19 10 32 33 10 33 1 10 34 0 10 35 11 10 36 -2 10 37 -9 10 38 9 10 39 -12 10 40 -34 10 41 -2 10 42 -8 10 43 -22 10 44 13 10 45 -8 10 46 -23 10 47 9 10 48 -18 10 49 -18 10 50 3 10 51 4 10 52 -5 10 53 -21 10 54 25 10 55 -19 10 56 9 10 57 -11 10 58 19 10 59 41 10 60 14 10 61 -24 10 62 3 10 63 -12 10 64 11 10 65 0 10 66 -16 10 67 -21 10 68 9 10 69 -3 11 1 -1 11 2 24 11 3 12 11 4 10 11 5 8 11 6 3 11 7 -16 11 8 25 11 9 -4 11 10 21 11 11 9 11 12 -5 11 13 0 11 14 14 11 15 21 11 16 12 11 17 4 11 18 22 11 19 5 11 20 22 11 21 20 11 22 1 11 23 20 11 24 7 11 25 -15 11 26 6 11 27 9 11 28 -8 11 29 7 11 30 6 11 31 -19 11 32 11 11 33 1 11 34 -30 11 35 8 11 36 -11 11 37 -14 11 38 12 11 39 -4 11 40 -18 11 41 11 11 42 -3 11 43 3 11 44 24 11 45 14 11 46 -12 11 47 23 11 48 -4 11 49 -12 11 50 11 11 51 -4 11 52 -23 11 53 -21 11 54 -15 11 55 -9 11 56 11 11 57 9 11 58 26 11 59 39 11 60 9 11 61 -3 11 62 9 11 63 5 11 64 -8 11 65 27 11 66 -19 11 67 0 11 68 2 11 69 7 12 1 12 12 2 53 12 3 5 12 4 -5 12 5 6 12 6 1 12 7 -24 12 8 22 12 9 10 12 10 -8 12 11 7 12 12 -3 12 13 1 12 14 11 12 15 30 12 16 -13 12 17 15 12 18 -2 12 19 10 12 20 -7 12 21 14 12 22 -26 12 23 28 12 24 6 12 25 -12 12 26 11 12 27 2 12 28 -8 12 29 -5 12 30 -14 12 31 -14 12 32 3 12 33 -6 12 34 -29 12 35 1 12 36 -2 12 37 -18 12 38 16 12 39 2 12 40 -22 12 41 -3 12 42 -4 12 43 -23 12 44 15 12 45 11 12 46 -19 12 47 7 12 48 4 12 49 -18 12 50 3 12 51 -18 12 52 -28 12 53 -16 12 54 19 12 55 -17 12 56 5 12 57 4 12 58 2 12 59 39 12 60 7 12 61 -20 12 62 8 12 63 1 12 64 -14 12 65 35 12 66 -9 12 67 -16 12 68 0 12 69 5 Adjuster movements: rms = 51.6 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20050727-101843 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1