Reduction started at: 20041123-130631 Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041117-211625.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 = 2400.5 max = 5456.6 arcsec Nominal defocus setting was 31. mm Using actual defocus setting of 33.830 mm ----------------- Data Summary --------------------- Number of samples: 369525 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 -3.16895 3.16162 -0.03044 loimag -3.30078 3.12012 0.01353 hireal -5.00000 4.99756 -0.54370 hiimag -5.00000 4.99756 -0.15146 xpos -2430.90832 5456.63612 16.71201 ypos -2400.47250 2402.57031 0.07873 plock160 1.30615 2.74414 2.05453 lorefpwr 0.33936 1.68945 1.27308 losigpwr -4.62646 -0.26123 -4.44303 hirefpwr 0.40283 1.76514 1.33610 hisigpwr -4.53125 4.99756 -0.69342 encltemp 30.00488 32.71484 30.83243 flags 0.00000 256.00000 2.42473 phi-lock -0.95459 0.36621 -0.31739 sindex 0.00000 127.00000 62.69711 time 0.00000 2945.57503 1472.60700 zeropt -0.00732 -0.00244 -0.00487 ---------------------------------------------------- Subtracting zeropt channel Data contains a total of 128 rows There are 121 data rows and 7 calibrator rows Calibrator rows: 20 41 62 83 104 125 127 Checking pointing along rasters... This map is more horizontally scanned than vertically Mean row spacing = 39.91660 arcsec Mean row spacing = 40.03479 arcsec (alternate estimator) Mean tracking incline = -0.20203 arcsec Mean pointing range = 0.69839 arcsec Mean pointing rms = 0.13588 arcsec This map *probably* has non-inclined rows Applying pointing shifts: (-5.3, 14.1 ) arcsec Applying pointing lags: (0, 0 ) arcsec Deciphering frequencies... !Warning! Found 2 bad patterns (line 387 of data.cxx) 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 3500 Extracting frequencies Selecting all rows from the map (row = -1) Extracted frequency 0: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 1: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 2: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 3: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 4: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 5: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 6: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 7: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 8: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 9: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 10: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 11: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 12: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 13: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 14: 22679 data points Selecting all rows from the map (row = -1) Extracted frequency 15: 22679 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 = 5456.64 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 = 3.06601 at (0.0, 0.0) arcsec Real: mean = 0.00186931 sum of squares = 1082.4 Imag: mean = -0.000977728 sum of squares = 1016.03 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 = 3.0312 at (0.0, 0.0) arcsec Real: mean = 0.00150957 sum of squares = 1142.32 Imag: mean = -0.00108562 sum of squares = 954.155 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 = 3.00965 at (0.0, 0.0) arcsec Real: mean = 0.00105355 sum of squares = 1135.68 Imag: mean = -0.00134399 sum of squares = 958.219 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 = 3.00654 at (0.0, 0.0) arcsec Real: mean = 0.000788109 sum of squares = 1069.04 Imag: mean = -0.00194345 sum of squares = 1023.72 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 = 3.00615 at (0.0, 0.0) arcsec Real: mean = 0.000916457 sum of squares = 987.832 Imag: mean = -0.002619 sum of squares = 1103.07 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 = 3.02867 at (0.0, 0.0) arcsec Real: mean = 0.0014531 sum of squares = 945.443 Imag: mean = -0.00306954 sum of squares = 1145.01 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 = 3.06175 at (0.0, 0.0) arcsec Real: mean = 0.00201893 sum of squares = 972.781 Imag: mean = -0.0031228 sum of squares = 1119 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 = 3.12184 at (0.0, 0.0) arcsec Real: mean = 0.00238631 sum of squares = 1056.01 Imag: mean = -0.00302399 sum of squares = 1040.18 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 = 3.16657 at (0.0, 0.0) arcsec Real: mean = 0.00273227 sum of squares = 1136.76 Imag: mean = -0.0030237 sum of squares = 964.228 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 = 3.20382 at (0.0, 0.0) arcsec Real: mean = 0.00325243 sum of squares = 1154.73 Imag: mean = -0.00279371 sum of squares = 952.179 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 = 3.20921 at (0.0, 0.0) arcsec Real: mean = 0.0036521 sum of squares = 1095.95 Imag: mean = -0.00218496 sum of squares = 1016.08 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 = 3.20097 at (0.0, 0.0) arcsec Real: mean = 0.00346247 sum of squares = 1005.77 Imag: mean = -0.00130077 sum of squares = 1107.37 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 = 3.1738 at (0.0, 0.0) arcsec Real: mean = 0.00292328 sum of squares = 955.476 Imag: mean = -0.000890011 sum of squares = 1160.69 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 = 3.13542 at (0.0, 0.0) arcsec Real: mean = 0.00241129 sum of squares = 981.63 Imag: mean = -0.000902973 sum of squares = 1135.75 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 = 3.08726 at (0.0, 0.0) arcsec Real: mean = 0.00215394 sum of squares = 1064.07 Imag: mean = -0.000970119 sum of squares = 1055.48 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 = 3.0626 at (0.0, 0.0) arcsec Real: mean = 0.00180416 sum of squares = 1143.62 Imag: mean = -0.00107211 sum of squares = 980.358 Masking frequency index 0 Mask scale size = 3.05631 Masking frequency index 1 Mask scale size = 3.05639 Masking frequency index 2 Mask scale size = 3.05647 Masking frequency index 3 Mask scale size = 3.05654 Masking frequency index 4 Mask scale size = 3.05662 Masking frequency index 5 Mask scale size = 3.05669 Masking frequency index 6 Mask scale size = 3.05677 Masking frequency index 7 Mask scale size = 3.05685 Masking frequency index 8 Mask scale size = 3.05692 Masking frequency index 9 Mask scale size = 3.057 Masking frequency index 10 Mask scale size = 3.05708 Masking frequency index 11 Mask scale size = 3.05715 Masking frequency index 12 Mask scale size = 3.05723 Masking frequency index 13 Mask scale size = 3.0573 Masking frequency index 14 Mask scale size = 3.05738 Masking frequency index 15 Mask scale size = 3.05746 Checking phase lock voltage for frequency 0... Max point-to-point PLL voltage change: 0.209961 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 1... Max point-to-point PLL voltage change: 0.219727 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 2... Max point-to-point PLL voltage change: 0.192871 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 3... Max point-to-point PLL voltage change: 0.183105 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 4... Max point-to-point PLL voltage change: 0.178223 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 5... Max point-to-point PLL voltage change: 0.19043 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 6... Max point-to-point PLL voltage change: 0.205078 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 7... Max point-to-point PLL voltage change: 0.20752 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 8... Max point-to-point PLL voltage change: 0.202637 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 9... Max point-to-point PLL voltage change: 0.178223 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 10... Max point-to-point PLL voltage change: 0.187988 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 11... Max point-to-point PLL voltage change: 0.185547 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 12... Max point-to-point PLL voltage change: 0.180664 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 13... Max point-to-point PLL voltage change: 0.197754 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 14... Max point-to-point PLL voltage change: 0.185547 Median point-to-point PLL voltage change: 0.0170898 Checking phase lock voltage for frequency 15... Max point-to-point PLL voltage change: 0.192871 Median point-to-point PLL voltage change: 0.0170898 Doing FFT of patterns... Normalising FFT patterns... Freq 0: Shift, scale = 1.2976 109.77 Freq 1: Shift, scale = 0.86384 110.68 Freq 2: Shift, scale = 0.428 110.59 Freq 3: Shift, scale = -0.0036088 109.62 Freq 4: Shift, scale = -0.43578 107.95 Freq 5: Shift, scale = -0.86747 106.26 Freq 6: Shift, scale = -1.3022 104.69 Freq 7: Shift, scale = -1.7397 103.66 Freq 8: Shift, scale = -2.1856 103.24 Freq 9: Shift, scale = -2.6315 103.55 Freq 10: Shift, scale = -3.0791 104.5 Freq 11: Shift, scale = 2.757 105.96 Freq 12: Shift, scale = 2.3124 107.78 Freq 13: Shift, scale = 1.8729 109.36 Freq 14: Shift, scale = 1.4383 110.52 Freq 15: Shift, scale = 1.0087 111.39 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: -0.198 radians x offset: 0.136 arcsec y offset: 0.0208 arcsec defocus: 0.000323 mm Estimated x pointing error is -5.164 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.12 arcsec (used 14.1 arcsec) Estimated defocus error is 2.83 mm (used 2.83 mm) Fitting frequency 1 Minimiser fit code = 1 piston: -0.193 radians x offset: 0.13 arcsec y offset: 0.0288 arcsec defocus: 0.000486 mm Estimated x pointing error is -5.17 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.13 arcsec (used 14.1 arcsec) Estimated defocus error is 2.83 mm (used 2.83 mm) Fitting frequency 2 Minimiser fit code = 1 piston: -0.188 radians x offset: 0.129 arcsec y offset: 0.0475 arcsec defocus: 0.0026 mm Estimated x pointing error is -5.171 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.15 arcsec (used 14.1 arcsec) Estimated defocus error is 2.833 mm (used 2.83 mm) Fitting frequency 3 Minimiser fit code = 3 piston: -0.182 radians x offset: 0.123 arcsec y offset: 0.0678 arcsec defocus: 0.00266 mm Estimated x pointing error is -5.177 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.17 arcsec (used 14.1 arcsec) Estimated defocus error is 2.833 mm (used 2.83 mm) Fitting frequency 4 Minimiser fit code = 3 piston: -0.176 radians x offset: 0.119 arcsec y offset: 0.076 arcsec defocus: 0.0016 mm Estimated x pointing error is -5.181 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.18 arcsec (used 14.1 arcsec) Estimated defocus error is 2.832 mm (used 2.83 mm) Fitting frequency 5 Minimiser fit code = 1 piston: -0.171 radians x offset: 0.127 arcsec y offset: 0.0774 arcsec defocus: -0.000464 mm Estimated x pointing error is -5.173 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.18 arcsec (used 14.1 arcsec) Estimated defocus error is 2.83 mm (used 2.83 mm) Fitting frequency 6 Minimiser fit code = 3 piston: -0.17 radians x offset: 0.119 arcsec y offset: 0.076 arcsec defocus: -0.00331 mm Estimated x pointing error is -5.181 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.18 arcsec (used 14.1 arcsec) Estimated defocus error is 2.827 mm (used 2.83 mm) Fitting frequency 7 Minimiser fit code = 3 piston: -0.173 radians x offset: 0.112 arcsec y offset: 0.0653 arcsec defocus: -0.00728 mm Estimated x pointing error is -5.188 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.17 arcsec (used 14.1 arcsec) Estimated defocus error is 2.823 mm (used 2.83 mm) Fitting frequency 8 Minimiser fit code = 3 piston: -0.182 radians x offset: 0.105 arcsec y offset: 0.0613 arcsec defocus: -0.00844 mm Estimated x pointing error is -5.195 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.16 arcsec (used 14.1 arcsec) Estimated defocus error is 2.822 mm (used 2.83 mm) Fitting frequency 9 Minimiser fit code = 3 piston: -0.189 radians x offset: 0.0816 arcsec y offset: 0.051 arcsec defocus: -0.00768 mm Estimated x pointing error is -5.218 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.15 arcsec (used 14.1 arcsec) Estimated defocus error is 2.822 mm (used 2.83 mm) Fitting frequency 10 Minimiser fit code = 1 piston: -0.198 radians x offset: 0.0705 arcsec y offset: 0.0502 arcsec defocus: -0.00628 mm Estimated x pointing error is -5.23 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.15 arcsec (used 14.1 arcsec) Estimated defocus error is 2.824 mm (used 2.83 mm) Fitting frequency 11 Minimiser fit code = 3 piston: -0.206 radians x offset: 0.0873 arcsec y offset: 0.0358 arcsec defocus: -0.00334 mm Estimated x pointing error is -5.213 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.14 arcsec (used 14.1 arcsec) Estimated defocus error is 2.827 mm (used 2.83 mm) Fitting frequency 12 Minimiser fit code = 1 piston: -0.211 radians x offset: 0.114 arcsec y offset: 0.0165 arcsec defocus: -0.000967 mm Estimated x pointing error is -5.186 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.12 arcsec (used 14.1 arcsec) Estimated defocus error is 2.829 mm (used 2.83 mm) Fitting frequency 13 Minimiser fit code = 1 piston: -0.213 radians x offset: 0.156 arcsec y offset: 0.00406 arcsec defocus: -0.00104 mm Estimated x pointing error is -5.144 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.1 arcsec (used 14.1 arcsec) Estimated defocus error is 2.829 mm (used 2.83 mm) Fitting frequency 14 Minimiser fit code = 1 piston: -0.21 radians x offset: 0.184 arcsec y offset: -0.00948 arcsec defocus: -0.00243 mm Estimated x pointing error is -5.116 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.09 arcsec (used 14.1 arcsec) Estimated defocus error is 2.828 mm (used 2.83 mm) Fitting frequency 15 Minimiser fit code = 3 piston: -0.203 radians x offset: 0.198 arcsec y offset: -0.0316 arcsec defocus: -0.00582 mm Estimated x pointing error is -5.102 arcsec (used -5.3 arcsec) Estimated y pointing error is 14.07 arcsec (used 14.1 arcsec) Estimated defocus error is 2.824 mm (used 2.83 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 -0.00043 piston 1 1 0.00576 tilt_x 1 -1 0.00361 tilt_y 2 2 0.04698 astigmatism_0 2 0 0.00138 curvature 2 -2 0.04109 astigmatism45 3 3 0.01128 trefoil_0 3 1 0.00586 coma_x 3 -1 -0.00050 coma_y 3 -3 0.00406 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 -0.00042 piston 1 1 0.00514 tilt_x 1 -1 0.00377 tilt_y 2 2 0.04822 astigmatism_0 2 0 0.00142 curvature 2 -2 0.04029 astigmatism45 3 3 0.01122 trefoil_0 3 1 0.00382 coma_x 3 -1 0.00003 coma_y 3 -3 0.00189 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 -0.00039 piston 1 1 0.00492 tilt_x 1 -1 0.00408 tilt_y 2 2 0.05010 astigmatism_0 2 0 0.00159 curvature 2 -2 0.03979 astigmatism45 3 3 0.01081 trefoil_0 3 1 0.00286 coma_x 3 -1 0.00102 coma_y 3 -3 0.00031 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 -0.00030 piston 1 1 0.00452 tilt_x 1 -1 0.00396 tilt_y 2 2 0.05027 astigmatism_0 2 0 0.00183 curvature 2 -2 0.03822 astigmatism45 3 3 0.00998 trefoil_0 3 1 0.00171 coma_x 3 -1 0.00128 coma_y 3 -3 -0.00039 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 -0.00024 piston 1 1 0.00435 tilt_x 1 -1 0.00472 tilt_y 2 2 0.04867 astigmatism_0 2 0 0.00211 curvature 2 -2 0.03782 astigmatism45 3 3 0.00999 trefoil_0 3 1 0.00179 coma_x 3 -1 0.00372 coma_y 3 -3 -0.00000 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 -0.00016 piston 1 1 0.00506 tilt_x 1 -1 0.00541 tilt_y 2 2 0.04646 astigmatism_0 2 0 0.00250 curvature 2 -2 0.03743 astigmatism45 3 3 0.00897 trefoil_0 3 1 0.00458 coma_x 3 -1 0.00609 coma_y 3 -3 0.00183 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 -0.00013 piston 1 1 0.00563 tilt_x 1 -1 0.00591 tilt_y 2 2 0.04316 astigmatism_0 2 0 0.00271 curvature 2 -2 0.03819 astigmatism45 3 3 0.00874 trefoil_0 3 1 0.00707 coma_x 3 -1 0.00741 coma_y 3 -3 0.00475 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 -0.00016 piston 1 1 0.00651 tilt_x 1 -1 0.00602 tilt_y 2 2 0.04189 astigmatism_0 2 0 0.00271 curvature 2 -2 0.03840 astigmatism45 3 3 0.00878 trefoil_0 3 1 0.00997 coma_x 3 -1 0.00770 coma_y 3 -3 0.00720 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 -0.00023 piston 1 1 0.00714 tilt_x 1 -1 0.00638 tilt_y 2 2 0.04270 astigmatism_0 2 0 0.00253 curvature 2 -2 0.03974 astigmatism45 3 3 0.00919 trefoil_0 3 1 0.01145 coma_x 3 -1 0.00820 coma_y 3 -3 0.00728 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 -0.00037 piston 1 1 0.00716 tilt_x 1 -1 0.00673 tilt_y 2 2 0.04598 astigmatism_0 2 0 0.00210 curvature 2 -2 0.04119 astigmatism45 3 3 0.01188 trefoil_0 3 1 0.01067 coma_x 3 -1 0.00848 coma_y 3 -3 0.00657 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 -0.00045 piston 1 1 0.00671 tilt_x 1 -1 0.00666 tilt_y 2 2 0.04948 astigmatism_0 2 0 0.00167 curvature 2 -2 0.04110 astigmatism45 3 3 0.01291 trefoil_0 3 1 0.00830 coma_x 3 -1 0.00808 coma_y 3 -3 0.00484 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 -0.00044 piston 1 1 0.00653 tilt_x 1 -1 0.00618 tilt_y 2 2 0.05107 astigmatism_0 2 0 0.00153 curvature 2 -2 0.04029 astigmatism45 3 3 0.01201 trefoil_0 3 1 0.00709 coma_x 3 -1 0.00713 coma_y 3 -3 0.00510 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 -0.00042 piston 1 1 0.00672 tilt_x 1 -1 0.00591 tilt_y 2 2 0.05291 astigmatism_0 2 0 0.00153 curvature 2 -2 0.03890 astigmatism45 3 3 0.01179 trefoil_0 3 1 0.00713 coma_x 3 -1 0.00685 coma_y 3 -3 0.00501 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 -0.00037 piston 1 1 0.00680 tilt_x 1 -1 0.00549 tilt_y 2 2 0.05261 astigmatism_0 2 0 0.00166 curvature 2 -2 0.03707 astigmatism45 3 3 0.00982 trefoil_0 3 1 0.00746 coma_x 3 -1 0.00636 coma_y 3 -3 0.00538 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 -0.00033 piston 1 1 0.00652 tilt_x 1 -1 0.00512 tilt_y 2 2 0.05218 astigmatism_0 2 0 0.00177 curvature 2 -2 0.03656 astigmatism45 3 3 0.00831 trefoil_0 3 1 0.00678 coma_x 3 -1 0.00557 coma_y 3 -3 0.00591 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 -0.00028 piston 1 1 0.00578 tilt_x 1 -1 0.00485 tilt_y 2 2 0.05057 astigmatism_0 2 0 0.00184 curvature 2 -2 0.03566 astigmatism45 3 3 0.00738 trefoil_0 3 1 0.00507 coma_x 3 -1 0.00504 coma_y 3 -3 0.00625 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: 33.7 20.3 21.2 25.6 24 25.1 35.7 28.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.7 20.1 20.9 24.7 23 23 36.4 27.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.452 1.31 2.55 4.23 6.37 8.93 11.9 7.74 Unweighted rms analysis, frequency 1 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33 20.1 21.2 24.5 23.8 25 35.3 28.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33 19.9 20.9 23.6 22.9 22.8 36 27.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.376 1.23 2.49 4.2 6.39 8.99 12 7.77 Unweighted rms analysis, frequency 2 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.2 19.8 21 24 23.9 25.1 34.9 28.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.2 19.6 20.8 23 22.9 22.6 35.8 27.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.359 1.22 2.51 4.24 6.48 9.14 12.2 7.9 Unweighted rms analysis, frequency 3 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.9 19.5 20.7 23.8 24.2 25.1 34.7 28.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.9 19.2 20.4 22.9 23.2 22.5 35.6 27.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.335 1.19 2.46 4.16 6.38 9.01 12 7.79 Unweighted rms analysis, frequency 4 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.9 19.3 20.3 24 24.6 25 34.6 28.5 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.9 19 19.9 23.1 23.7 22.5 35.7 28.1 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.384 1.22 2.44 4.1 6.24 8.8 11.8 7.61 Unweighted rms analysis, frequency 5 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.6 19.2 19.8 24.3 24.9 25.1 35 28.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.5 18.9 19.4 23.6 24 22.7 36.1 28.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.525 1.36 2.51 4.06 6.07 8.51 11.4 7.4 Unweighted rms analysis, frequency 6 Total errors: ring: 1 2 3 4 5 6 7 total rms: 29.8 19.5 19.5 24.8 24.9 25.5 35.7 29.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 29.8 19.3 19 24.2 24.1 23.2 36.7 28.8 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.649 1.52 2.61 4.04 5.92 8.23 11 7.19 Unweighted rms analysis, frequency 7 Total errors: ring: 1 2 3 4 5 6 7 total rms: 30.5 19.6 20 25.6 25.2 25.9 36.3 29.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 30.4 19.5 19.6 25 24.4 23.7 37.2 29.2 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.771 1.7 2.75 4.11 5.89 8.15 11 7.16 Unweighted rms analysis, frequency 8 Total errors: ring: 1 2 3 4 5 6 7 total rms: 31.6 20.2 21.3 26.7 25.3 26.3 36.6 29.8 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 31.6 20 20.9 26.2 24.5 24.2 37.4 29.4 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.853 1.84 2.92 4.28 6.07 8.36 11.3 7.37 Unweighted rms analysis, frequency 9 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33.2 20.8 22.5 27.8 25.4 26.6 36.9 30.1 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 33.2 20.6 22 27.2 24.5 24.5 37.6 29.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.835 1.84 2.99 4.47 6.41 8.88 12 7.8 Unweighted rms analysis, frequency 10 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.9 21.3 23.2 29.2 25 26.6 37.1 30.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34.8 21 22.9 28.6 24.1 24.4 37.6 29.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.733 1.71 2.92 4.52 6.62 9.24 12.4 8.07 Unweighted rms analysis, frequency 11 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.8 21.2 23.6 31.4 24.8 26.3 37.1 30.3 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35.7 20.9 23.3 30.7 23.9 24.2 37.5 29.7 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.657 1.6 2.84 4.48 6.66 9.33 12.5 8.13 Unweighted rms analysis, frequency 12 Total errors: ring: 1 2 3 4 5 6 7 total rms: 35.5 20.9 22.9 28.7 24.6 25.9 36.6 29.4 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 35.4 20.6 22.6 27.9 23.6 23.7 37 28.9 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.652 1.6 2.84 4.5 6.7 9.42 12.7 8.2 Unweighted rms analysis, frequency 13 Total errors: ring: 1 2 3 4 5 6 7 total rms: 34.1 20.2 20.5 27.2 24.3 25.5 35.9 28.6 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 34 20 20.1 26.4 23.4 23.2 36.5 28 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.645 1.57 2.79 4.39 6.55 9.21 12.4 8.03 Unweighted rms analysis, frequency 14 Total errors: ring: 1 2 3 4 5 6 7 total rms: 33 19.6 20.7 25.7 23.9 25.3 35.3 28.2 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.9 19.4 20.3 24.9 23.1 22.8 36 27.6 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.593 1.5 2.7 4.31 6.46 9.1 12.2 7.92 Unweighted rms analysis, frequency 15 Total errors: ring: 1 2 3 4 5 6 7 total rms: 32.4 19.3 20.6 24.2 23.8 24.9 34.8 27.9 Small-scale errors: ring: 1 2 3 4 5 6 7 total rms: 32.4 19.1 20.2 23.5 23 22.5 35.5 27.3 Large-scale errors: ring: 1 2 3 4 5 6 7 total rms: 0.511 1.37 2.56 4.15 6.26 8.83 11.9 7.67 Total errors on mean aperture: ring: 1 2 3 4 5 6 7 total rms: 29.3 18.5 18.6 22.6 23.1 24.2 34.3 27.1 Mean deviation is 1.3598776003537807 microns Taper = 10 dB, Ruze illumination-weighted rms = 26.2 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 = 23.9 micron Centre pixel: 64.0 64.0 Value = 2772.95 (estimate), 3426.12 (perfect) Strehl = 0.655056 Strehl ratio estimate = 0.6551 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 = 23.5 micron Centre pixel: 64.0 64.0 Value = 2316.4 (estimate), 3426.12 (perfect) Strehl = 0.457111 Strehl ratio estimate = 0.4571 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 -25.4 10.9 15.2 31.5 2 1 2 -6.8 3.9 16.6 18.4 3 1 3 22.6 24.9 -3.7 33.9 4 1 4 -1.7 -13.5 -30.3 33.2 5 1 5 -29.7 13.6 54.5 63.6 6 1 6 -23.7 6.5 -0.7 24.6 7 1 7 -17.7 -0.2 32.2 36.7 8 1 8 -42.6 43.0 46.2 76.1 9 1 9 -90.9 -10.8 16.3 93.0 10 1 10 -2.6 25.6 71.5 76.0 11 1 11 38.3 7.7 -5.1 39.4 12 1 12 -18.9 8.7 14.2 25.2 13 2 1 19.7 -22.6 -17.5 34.7 14 2 2 3.2 19.3 5.3 20.3 15 2 3 33.2 -18.8 -13.7 40.5 16 2 4 2.5 -0.6 6.2 6.7 17 2 5 16.9 -4.9 5.9 18.6 18 2 6 0.7 26.1 37.8 46.0 19 2 7 -3.1 37.2 -4.8 37.7 20 2 8 5.2 17.0 19.4 26.3 21 2 9 17.5 3.3 4.5 18.4 22 2 10 15.4 0.6 -2.0 15.5 23 2 11 -2.8 7.7 2.8 8.7 24 2 12 -5.5 6.5 2.6 8.9 25 2 13 -6.3 -7.4 -12.4 15.8 26 2 14 -4.3 -10.6 -7.0 13.5 27 2 15 2.3 -8.0 -5.7 10.0 28 2 16 28.5 -24.3 -4.9 37.8 29 2 17 13.3 0.8 4.4 14.0 30 2 18 2.6 16.6 -3.2 17.1 31 2 19 19.0 -23.1 35.4 46.4 32 2 20 30.7 -7.4 -18.6 36.7 33 2 21 12.0 -6.8 -4.7 14.5 34 2 22 28.0 -0.6 11.6 30.3 35 2 23 21.4 5.3 6.1 22.9 36 2 24 11.1 -3.4 -7.3 13.8 37 3 1 -6.9 4.5 14.2 16.4 38 3 2 -9.9 8.3 11.9 17.6 39 3 3 -22.2 1.8 8.7 23.9 40 3 4 -5.2 -8.7 20.3 22.7 41 3 5 -13.3 8.0 16.2 22.4 42 3 6 -19.9 -2.0 3.5 20.3 43 3 7 -12.8 -2.2 -5.6 14.1 44 3 8 -4.0 0.5 2.9 4.9 45 3 9 5.0 -6.0 6.1 9.9 46 3 10 -6.4 7.2 -4.4 10.6 47 3 11 27.7 11.2 13.4 32.8 48 3 12 6.6 30.2 4.1 31.2 49 3 13 -12.2 20.7 19.0 30.6 50 3 14 14.2 9.6 7.4 18.7 51 3 15 -3.9 5.8 17.0 18.4 52 3 16 21.6 6.6 25.2 33.8 53 3 17 7.1 13.8 7.0 17.1 54 3 18 6.5 11.2 18.6 22.6 55 3 19 22.4 14.0 3.0 26.6 56 3 20 20.3 2.7 -0.4 20.5 57 3 21 10.5 -10.2 10.8 18.2 58 3 22 -7.1 -1.6 1.0 7.4 59 3 23 6.6 -2.8 -6.9 9.9 60 3 24 -6.6 -16.9 -19.5 26.6 61 3 25 7.5 -23.1 -27.7 36.8 62 3 26 -6.8 -3.9 -20.3 21.8 63 3 27 -4.2 2.5 -2.3 5.4 64 3 28 20.2 -4.5 -5.9 21.5 65 3 29 25.8 2.6 -1.8 26.0 66 3 30 12.5 -5.3 -8.9 16.2 67 3 31 -10.6 8.3 17.4 22.0 68 3 32 16.8 17.1 -24.3 34.1 69 3 33 40.3 12.9 30.2 52.0 70 3 34 8.5 4.0 20.6 22.6 71 3 35 31.4 13.6 -22.0 40.7 72 3 36 7.3 24.4 -9.9 27.3 73 3 37 22.6 18.9 -26.4 39.6 74 3 38 15.1 8.6 -8.0 19.2 75 3 39 6.9 14.5 -3.3 16.4 76 3 40 13.3 6.7 7.6 16.7 77 3 41 23.4 15.0 11.8 30.2 78 3 42 8.7 15.1 -3.1 17.7 79 3 43 3.5 14.1 6.5 15.9 80 3 44 -1.8 8.5 19.1 20.9 81 3 45 9.5 -2.7 28.6 30.3 82 3 46 -10.4 10.3 23.1 27.3 83 3 47 4.9 11.8 14.2 19.0 84 3 48 -17.4 4.6 2.8 18.2 85 4 1 -16.5 -27.3 -4.9 32.3 86 4 2 -34.1 -12.0 -12.7 38.4 87 4 3 -11.9 -28.7 -48.2 57.3 88 4 4 2.2 -23.9 -50.1 55.6 89 4 5 11.4 -16.6 -36.1 41.4 90 4 6 10.0 -13.1 -25.9 30.7 91 4 7 10.0 -13.8 -12.5 21.2 92 4 8 -0.9 1.6 -16.3 16.4 93 4 9 -2.8 -7.3 -13.4 15.5 94 4 10 -7.5 13.9 -23.8 28.5 95 4 11 -32.8 24.7 9.5 42.1 96 4 12 13.2 11.8 -19.2 26.1 97 4 13 15.5 -2.4 10.0 18.6 98 4 14 -22.1 12.6 2.7 25.6 99 4 15 9.3 8.3 19.7 23.3 100 4 16 2.8 2.4 16.2 16.6 101 4 17 12.3 16.4 20.7 29.1 102 4 18 25.7 -0.9 26.8 37.1 103 4 19 5.4 -4.4 0.5 7.0 104 4 20 -3.2 -0.6 -5.4 6.3 105 4 21 -7.0 -7.1 -1.9 10.2 106 4 22 -9.6 9.1 6.1 14.6 107 4 23 -4.8 -16.7 2.7 17.6 108 4 24 36.9 -6.0 28.0 46.7 109 4 25 30.0 -7.0 62.5 69.7 110 4 26 9.2 -21.1 36.9 43.5 111 4 27 -38.6 -6.9 -2.9 39.4 112 4 28 -24.7 -7.4 -5.7 26.4 113 4 29 -32.4 2.3 -47.5 57.6 114 4 30 -24.9 -15.8 8.2 30.6 115 4 31 0.7 -15.6 5.4 16.5 116 4 32 -5.5 8.6 19.1 21.7 117 4 33 7.6 -20.3 8.8 23.4 118 4 34 27.4 17.0 13.5 35.0 119 4 35 -77.4 27.8 -28.3 87.0 120 4 36 -5.8 -18.4 8.9 21.2 121 4 37 28.5 -12.5 -12.7 33.6 122 4 38 -4.9 4.0 9.7 11.6 123 4 39 7.1 12.3 9.5 17.1 124 4 40 4.0 -3.2 -2.2 5.5 125 4 41 -2.5 6.5 22.8 23.8 126 4 42 30.5 6.0 14.1 34.1 127 4 43 31.0 5.5 8.7 32.6 128 4 44 17.2 8.2 1.2 19.1 129 4 45 8.9 -0.8 -13.9 16.6 130 4 46 11.4 -17.0 -23.1 30.9 131 4 47 -36.5 -10.9 -67.6 77.6 132 4 48 -20.6 -26.4 -9.3 34.8 133 5 1 -16.6 -9.6 -13.9 23.7 134 5 2 22.0 15.9 -39.9 48.2 135 5 3 -47.2 -14.7 -40.6 64.0 136 5 4 -14.7 -30.9 4.2 34.5 137 5 5 -39.0 -20.8 -16.8 47.3 138 5 6 -17.3 -15.3 -40.4 46.5 139 5 7 3.4 -14.6 -12.3 19.4 140 5 8 -8.3 -5.7 0.2 10.1 141 5 9 0.6 -11.1 11.1 15.7 142 5 10 -12.7 8.5 -6.7 16.7 143 5 11 20.5 -3.9 2.7 21.0 144 5 12 -15.8 -0.7 25.4 29.9 145 5 13 -4.0 1.0 20.4 20.9 146 5 14 8.9 18.9 1.0 20.9 147 5 15 12.1 26.5 5.5 29.7 148 5 16 0.8 16.5 1.3 16.6 149 5 17 3.3 1.2 -12.1 12.6 150 5 18 8.9 -5.3 199.8 200.1 151 5 19 -1.8 -4.0 2.2 4.9 152 5 20 5.6 3.8 -5.5 8.7 153 5 21 13.1 1.1 -21.9 25.6 154 5 22 16.3 12.2 -48.4 52.5 155 5 23 6.0 -4.1 -52.3 52.8 156 5 24 -0.9 -24.0 -49.0 54.6 157 5 25 -3.0 -25.7 -59.1 64.5 158 5 26 16.1 -6.2 -65.8 68.0 159 5 27 33.5 -4.3 -50.3 60.6 160 5 28 24.3 -7.1 -27.4 37.3 161 5 29 29.1 -6.0 -7.8 30.7 162 5 30 11.1 9.2 8.6 16.8 163 5 31 -0.2 10.3 9.5 14.0 164 5 32 -8.0 -7.9 -1.6 11.3 165 5 33 -11.7 -3.5 0.1 12.2 166 5 34 2.2 12.8 -6.2 14.4 167 5 35 -4.5 6.0 -25.0 26.1 168 5 36 0.4 -8.5 -9.5 12.8 169 5 37 -18.2 -23.1 -15.2 33.1 170 5 38 11.7 9.0 -30.2 33.7 171 5 39 -0.9 27.2 -67.2 72.5 172 5 40 -3.4 -1.6 -25.8 26.0 173 5 41 4.6 2.2 -27.6 28.1 174 5 42 -4.4 3.1 -8.9 10.4 175 5 43 16.6 8.7 -2.9 19.0 176 5 44 -7.0 9.1 2.2 11.7 177 5 45 8.4 1.9 5.4 10.2 178 5 46 1.5 -9.1 27.9 29.4 179 5 47 39.8 25.6 -42.0 63.3 180 5 48 -0.1 -10.3 -4.1 11.1 181 6 1 -18.5 -36.7 -13.7 43.3 182 6 2 -2.4 -31.6 -28.9 42.9 183 6 3 20.9 -30.3 0.1 36.8 184 6 4 -26.9 -27.8 -6.0 39.1 185 6 5 -17.5 -25.0 -10.7 32.3 186 6 6 -19.5 -22.3 -16.4 33.9 187 6 7 -19.6 -23.0 -11.4 32.3 188 6 8 -16.4 -4.8 -33.0 37.1 189 6 9 -6.8 -0.9 70.2 70.6 190 6 10 34.2 8.6 33.9 49.0 191 6 11 -10.3 12.1 -2.6 16.2 192 6 12 12.5 11.1 6.1 17.8 193 6 13 11.3 8.8 27.9 31.3 194 6 14 -1.4 3.7 14.9 15.4 195 6 15 23.2 9.9 22.7 34.0 196 6 16 36.2 -6.9 58.5 69.1 197 6 17 -12.5 0.5 -0.7 12.6 198 6 18 -3.8 -14.2 15.4 21.3 199 6 19 -22.9 -17.6 4.6 29.3 200 6 20 1.6 -12.2 -9.2 15.4 201 6 21 -75.4 -15.9 -83.5 113.7 202 6 22 -1.4 -28.2 25.8 38.3 203 6 23 -34.7 -19.8 -2.0 40.0 204 6 24 -45.8 -28.2 6.8 54.2 205 6 25 -52.4 -30.4 -9.3 61.2 206 6 26 -41.5 -21.7 -19.2 50.6 207 6 27 -28.4 -25.3 3.1 38.2 208 6 28 -26.0 -35.1 -7.7 44.4 209 6 29 -47.2 -17.5 -22.2 55.0 210 6 30 -24.0 -24.5 19.6 39.5 211 6 31 20.6 -20.4 -17.8 34.0 212 6 32 -0.4 8.2 -20.4 22.0 213 6 33 35.4 -24.6 158.7 164.4 214 6 34 8.9 14.9 30.0 34.7 215 6 35 -12.0 7.6 45.1 47.3 216 6 36 -7.1 27.5 52.9 60.1 217 6 37 -24.8 6.8 34.4 42.9 218 6 38 -7.7 -11.2 2.4 13.8 219 6 39 10.3 -1.8 10.1 14.5 220 6 40 -53.2 -8.3 -0.5 53.8 221 6 41 -10.8 2.2 18.5 21.6 222 6 42 -2.1 0.0 24.9 25.0 223 6 43 11.0 -1.2 3.3 11.6 224 6 44 1.1 0.2 -7.8 7.9 225 6 45 16.0 -19.1 28.1 37.5 226 6 46 13.9 -22.2 44.6 51.8 227 6 47 -27.4 -19.8 -6.8 34.5 228 6 48 -47.1 -38.4 -21.9 64.5 229 7 1 -29.2 5.1 -6.1 30.2 230 7 2 -18.2 -23.4 -24.8 38.7 231 7 3 -6.9 -17.1 -7.3 19.9 232 7 4 10.4 71.2 1.0 72.0 233 7 5 -14.2 -5.4 73.5 75.0 234 7 6 3.5 34.3 53.6 63.7 235 7 7 -27.6 27.4 57.4 69.4 236 7 8 0.3 38.6 -17.4 42.3 237 7 9 24.3 12.0 88.8 92.9 238 7 10 36.5 39.9 31.6 62.6 239 7 11 11.5 38.1 10.8 41.3 240 7 12 7.9 28.5 42.1 51.5 241 7 13 22.5 43.2 61.5 78.4 242 7 14 24.1 44.6 41.0 65.2 243 7 15 14.2 22.8 38.7 47.1 244 7 16 48.1 54.9 40.6 83.5 245 7 17 4.0 -12.6 29.5 32.3 246 7 18 -4.3 19.4 9.7 22.1 247 7 19 4.4 20.5 25.2 32.8 248 7 20 8.2 -6.4 41.6 42.8 249 7 21 38.1 107.8 51.6 125.4 250 7 22 3.5 70.5 75.5 103.3 251 7 23 15.2 45.0 45.1 65.5 252 7 24 0.9 41.7 71.7 83.0 253 7 25 -17.1 50.3 83.5 99.0 254 7 26 -9.2 24.3 24.6 35.8 255 7 27 -43.7 24.2 52.8 72.7 256 7 28 -2.3 117.0 207.1 237.9 257 7 29 -25.5 -20.9 -35.4 48.4 258 7 30 -25.6 -29.2 -78.0 87.1 259 7 31 -12.4 -30.4 -47.0 57.3 260 7 32 -6.4 -16.9 -24.3 30.3 261 7 33 18.1 -201.0 88.1 220.2 262 7 34 34.0 45.2 2.6 56.6 263 7 35 42.6 36.7 17.3 58.9 264 7 36 41.4 36.2 44.3 70.6 265 7 37 26.4 36.1 17.9 48.2 266 7 38 33.4 24.9 -7.2 42.3 267 7 39 25.5 11.2 7.7 28.9 268 7 40 50.2 85.2 -11.4 99.6 269 7 41 34.7 25.7 14.5 45.6 270 7 42 24.3 13.0 30.1 40.8 271 7 43 -38.4 7.9 -2.8 39.4 272 7 44 17.3 19.6 13.5 29.4 273 7 45 -12.3 -87.7 109.9 141.2 274 7 46 17.1 31.9 21.3 42.0 275 7 47 6.7 29.9 -1.6 30.7 276 7 48 -2.7 133.1 29.6 136.4 Creating sector-motor-move file sector motor steps 1 1 0 1 2 21 1 3 3 1 4 -1 1 5 -8 1 6 -8 1 7 -2 1 8 -5 1 9 -2 1 10 0 1 11 -9 1 12 6 1 13 -7 1 14 -7 1 15 -5 1 16 -8 1 17 -9 1 18 0 1 19 -1 1 20 1 1 21 -8 1 22 -4 1 23 -11 1 24 -5 1 25 1 1 26 -9 1 27 -4 1 28 -15 1 29 -7 1 30 0 1 31 -12 1 32 -4 1 33 -14 1 34 -14 1 35 -8 1 36 -3 1 37 -12 1 38 4 1 39 6 1 40 -3 1 41 -3 1 42 -10 1 43 -4 1 44 -2 1 45 -5 1 46 -1 1 47 -8 1 48 -5 1 49 2 1 50 0 1 51 -6 1 52 1 1 53 5 1 54 0 1 55 3 1 56 2 1 57 -3 1 58 3 1 59 -7 1 60 4 1 61 4 1 62 1 1 63 -2 1 64 -5 1 65 6 1 66 -5 1 67 6 1 68 -2 1 69 -1 2 1 -5 2 2 11 2 3 0 2 4 -10 2 5 -1 2 6 -5 2 7 17 2 8 8 2 9 -8 2 10 -3 2 11 -7 2 12 -6 2 13 16 2 14 10 2 15 1 2 16 -5 2 17 -6 2 18 -5 2 19 22 2 20 -1 2 21 -4 2 22 -3 2 23 -7 2 24 -5 2 25 0 2 26 -1 2 27 -2 2 28 -4 2 29 0 2 30 0 2 31 -3 2 32 -4 2 33 1 2 34 -3 2 35 -4 2 36 3 2 37 -12 2 38 -4 2 39 -5 2 40 -7 2 41 -4 2 42 3 2 43 -5 2 44 -6 2 45 -11 2 46 -11 2 47 -5 2 48 3 2 49 -1 2 50 0 2 51 -3 2 52 1 2 53 0 2 54 0 2 55 1 2 56 0 2 57 -6 2 58 1 2 59 -2 2 60 5 2 61 4 2 62 2 2 63 -4 2 64 -1 2 65 10 2 66 -4 2 67 0 2 68 0 2 69 -1 3 1 12 3 2 8 3 3 2 3 4 1 3 5 3 3 6 3 3 7 3 3 8 11 3 9 3 3 10 0 3 11 3 3 12 -3 3 13 9 3 14 12 3 15 11 3 16 10 3 17 2 3 18 10 3 19 27 3 20 3 3 21 7 3 22 21 3 23 0 3 24 -2 3 25 7 3 26 0 3 27 -4 3 28 -5 3 29 3 3 30 4 3 31 0 3 32 -1 3 33 6 3 34 2 3 35 7 3 36 -10 3 37 -2 3 38 2 3 39 -3 3 40 -7 3 41 4 3 42 -2 3 43 3 3 44 -3 3 45 0 3 46 -4 3 47 -2 3 48 0 3 49 4 3 50 3 3 51 8 3 52 11 3 53 8 3 54 0 3 55 -1 3 56 2 3 57 -1 3 58 7 3 59 6 3 60 -1 3 61 1 3 62 -1 3 63 1 3 64 11 3 65 5 3 66 1 3 67 1 3 68 9 3 69 2 4 1 12 4 2 16 4 3 14 4 4 17 4 5 -2 4 6 11 4 7 11 4 8 6 4 9 4 4 10 6 4 11 3 4 12 7 4 13 12 4 14 13 4 15 7 4 16 4 4 17 1 4 18 0 4 19 18 4 20 13 4 21 6 4 22 8 4 23 2 4 24 3 4 25 0 4 26 5 4 27 0 4 28 4 4 29 0 4 30 0 4 31 1 4 32 8 4 33 3 4 34 6 4 35 2 4 36 2 4 37 0 4 38 5 4 39 2 4 40 0 4 41 3 4 42 -6 4 43 6 4 44 0 4 45 -1 4 46 3 4 47 0 4 48 4 4 49 5 4 50 1 4 51 -1 4 52 5 4 53 5 4 54 1 4 55 2 4 56 2 4 57 4 4 58 -4 4 59 0 4 60 -9 4 61 5 4 62 6 4 63 -3 4 64 1 4 65 0 4 66 -1 4 67 7 4 68 2 4 69 6 5 1 12 5 2 -1 5 3 2 5 4 -2 5 5 -3 5 6 0 5 7 7 5 8 6 5 9 1 5 10 1 5 11 -5 5 12 -7 5 13 2 5 14 5 5 15 -1 5 16 4 5 17 -4 5 18 -1 5 19 9 5 20 -3 5 21 1 5 22 0 5 23 0 5 24 -3 5 25 -1 5 26 1 5 27 1 5 28 -1 5 29 0 5 30 0 5 31 0 5 32 -1 5 33 0 5 34 0 5 35 -1 5 36 1 5 37 61 5 38 -1 5 39 2 5 40 8 5 41 0 5 42 7 5 43 -3 5 44 0 5 45 1 5 46 6 5 47 5 5 48 3 5 49 0 5 50 4 5 51 6 5 52 0 5 53 0 5 54 4 5 55 5 5 56 3 5 57 2 5 58 4 5 59 -9 5 60 16 5 61 2 5 62 4 5 63 2 5 64 2 5 65 5 5 66 1 5 67 0 5 68 0 5 69 6 6 1 22 6 2 12 6 3 0 6 4 2 6 5 -8 6 6 -14 6 7 13 6 8 13 6 9 4 6 10 0 6 11 -6 6 12 -10 6 13 23 6 14 21 6 15 1 6 16 7 6 17 -8 6 18 0 6 19 15 6 20 33 6 21 11 6 22 -25 6 23 -4 6 24 -23 6 25 -15 6 26 -7 6 27 0 6 28 8 6 29 -1 6 30 11 6 31 -16 6 32 -1 6 33 1 6 34 0 6 35 -5 6 36 -1 6 37 -14 6 38 3 6 39 4 6 40 1 6 41 2 6 42 -2 6 43 -6 6 44 0 6 45 4 6 46 0 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40 2 8 41 -4 8 42 -7 8 43 -2 8 44 -1 8 45 8 8 46 -14 8 47 0 8 48 -9 8 49 5 8 50 2 8 51 -3 8 52 -1 8 53 -7 8 54 8 8 55 -2 8 56 -1 8 57 3 8 58 13 8 59 -13 8 60 14 8 61 0 8 62 0 8 63 7 8 64 0 8 65 0 8 66 -1 8 67 -7 8 68 5 8 69 5 9 1 13 9 2 11 9 3 12 9 4 16 9 5 8 9 6 -2 9 7 5 9 8 11 9 9 13 9 10 13 9 11 2 9 12 -3 9 13 0 9 14 13 9 15 10 9 16 9 9 17 4 9 18 2 9 19 27 9 20 -61 9 21 5 9 22 48 9 23 -7 9 24 10 9 25 -2 9 26 -2 9 27 0 9 28 2 9 29 -5 9 30 -1 9 31 -7 9 32 1 9 33 -1 9 34 -8 9 35 8 9 36 -23 9 37 -1 9 38 3 9 39 0 9 40 4 9 41 5 9 42 8 9 43 0 9 44 -1 9 45 -3 9 46 2 9 47 -6 9 48 2 9 49 -6 9 50 4 9 51 9 9 52 0 9 53 5 9 54 0 9 55 6 9 56 1 9 57 2 9 58 -3 9 59 -27 9 60 5 9 61 9 9 62 3 9 63 12 9 64 -7 9 65 4 9 66 1 9 67 -3 9 68 7 9 69 2 10 1 -3 10 2 26 10 3 15 10 4 0 10 5 -2 10 6 -16 10 7 2 10 8 3 10 9 7 10 10 3 10 11 0 10 12 3 10 13 -2 10 14 7 10 15 10 10 16 0 10 17 -3 10 18 -2 10 19 5 10 20 11 10 21 8 10 22 10 10 23 2 10 24 -7 10 25 -7 10 26 0 10 27 -1 10 28 0 10 29 0 10 30 1 10 31 -20 10 32 8 10 33 0 10 34 2 10 35 3 10 36 2 10 37 -9 10 38 2 10 39 3 10 40 2 10 41 1 10 42 -1 10 43 -4 10 44 -7 10 45 -5 10 46 -3 10 47 -3 10 48 8 10 49 0 10 50 4 10 51 2 10 52 -5 10 53 -2 10 54 9 10 55 -2 10 56 2 10 57 4 10 58 7 10 59 0 10 60 21 10 61 -8 10 62 5 10 63 6 10 64 -2 10 65 5 10 66 10 10 67 2 10 68 2 10 69 4 11 1 4 11 2 6 11 3 5 11 4 -2 11 5 0 11 6 0 11 7 0 11 8 2 11 9 -11 11 10 1 11 11 0 11 12 3 11 13 9 11 14 3 11 15 7 11 16 7 11 17 0 11 18 0 11 19 4 11 20 7 11 21 10 11 22 5 11 23 0 11 24 -3 11 25 0 11 26 2 11 27 -2 11 28 0 11 29 2 11 30 5 11 31 0 11 32 2 11 33 5 11 34 2 11 35 1 11 36 9 11 37 -2 11 38 0 11 39 -1 11 40 4 11 41 1 11 42 9 11 43 -8 11 44 0 11 45 1 11 46 6 11 47 2 11 48 0 11 49 1 11 50 4 11 51 1 11 52 3 11 53 0 11 54 8 11 55 0 11 56 4 11 57 2 11 58 2 11 59 11 11 60 -1 11 61 3 11 62 4 11 63 7 11 64 1 11 65 3 11 66 -1 11 67 5 11 68 2 11 69 0 12 1 9 12 2 40 12 3 0 12 4 -6 12 5 -11 12 6 -14 12 7 0 12 8 9 12 9 2 12 10 -2 12 11 -6 12 12 -8 12 13 6 12 14 9 12 15 5 12 16 13 12 17 -6 12 18 4 12 19 33 12 20 -26 12 21 -3 12 22 8 12 23 -5 12 24 4 12 25 -1 12 26 -3 12 27 0 12 28 -2 12 29 -8 12 30 -6 12 31 -12 12 32 7 12 33 12 12 34 -20 12 35 -3 12 36 -11 12 37 8 12 38 -2 12 39 0 12 40 -7 12 41 -5 12 42 3 12 43 1 12 44 0 12 45 2 12 46 -4 12 47 0 12 48 2 12 49 4 12 50 3 12 51 1 12 52 -2 12 53 -1 12 54 3 12 55 7 12 56 3 12 57 -3 12 58 2 12 59 -5 12 60 4 12 61 8 12 62 0 12 63 2 12 64 -6 12 65 6 12 66 1 12 67 0 12 68 1 12 69 -5 Adjuster movements: rms = 28.0 micron Looking for bad motors No bad motor file specified Finished panel fit Evaluating simulated dish from adjuster moves Reduction ended at: 20041123-131512 Creating HTML output file of plots Plotting summary text Saving results to disk - level = 1