![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20050213-173829.fits
Reduced on 20050213-185407 by janw on moana
Reduction code id: 2.20 (created Apr 27 2004 at 15:09:15) (TDL_BIN = /.automount/moana/root/export/data/janw/install/tdl_2p21_test2)
Comment:
Reduction log file can be found here: 0log.txt
Moves file: (ring panel actuator microns format): moves_rpa.dat
Moves file: (sector motor format): moves_sm.dat
Average aperture phase
![[summary.gif]](summary.gif)
Summary
![[panel.gif]](panel.gif)
Panel fit
![[pattern0.gif]](pattern0.gif)
Pattern 0
![[pattern1.gif]](pattern1.gif)
Pattern 1
![[pattern2.gif]](pattern2.gif)
Pattern 2
![[pattern3.gif]](pattern3.gif)
Pattern 3
![[pattern4.gif]](pattern4.gif)
Pattern 4
![[pattern5.gif]](pattern5.gif)
Pattern 5
![[pattern6.gif]](pattern6.gif)
Pattern 6
![[pattern7.gif]](pattern7.gif)
Pattern 7
![[pattern8.gif]](pattern8.gif)
Pattern 8
![[pattern9.gif]](pattern9.gif)
Pattern 9
![[pattern10.gif]](pattern10.gif)
Pattern 10
![[pattern11.gif]](pattern11.gif)
Pattern 11
![[pattern12.gif]](pattern12.gif)
Pattern 12
![[pattern13.gif]](pattern13.gif)
Pattern 13
![[pattern14.gif]](pattern14.gif)
Pattern 14
![[pattern15.gif]](pattern15.gif)
Pattern 15
![[aperture0.gif]](aperture0.gif)
Aperture 0
![[aperture1.gif]](aperture1.gif)
Aperture 1
![[aperture2.gif]](aperture2.gif)
Aperture 2
![[aperture3.gif]](aperture3.gif)
Aperture 3
![[aperture4.gif]](aperture4.gif)
Aperture 4
![[aperture5.gif]](aperture5.gif)
Aperture 5
![[aperture6.gif]](aperture6.gif)
Aperture 6
![[aperture7.gif]](aperture7.gif)
Aperture 7
![[aperture8.gif]](aperture8.gif)
Aperture 8
![[aperture9.gif]](aperture9.gif)
Aperture 9
![[aperture10.gif]](aperture10.gif)
Aperture 10
![[aperture11.gif]](aperture11.gif)
Aperture 11
![[aperture12.gif]](aperture12.gif)
Aperture 12
![[aperture13.gif]](aperture13.gif)
Aperture 13
![[aperture14.gif]](aperture14.gif)
Aperture 14
![[aperture15.gif]](aperture15.gif)
Aperture 15
![[finalphi0.gif]](finalphi0.gif)
Final Phase 0
![[finalamp0.gif]](finalamp0.gif)
Final Amplitude 0
![[finalphi1.gif]](finalphi1.gif)
Final Phase 1
![[finalamp1.gif]](finalamp1.gif)
Final Amplitude 1
![[finalphi2.gif]](finalphi2.gif)
Final Phase 2
![[finalamp2.gif]](finalamp2.gif)
Final Amplitude 2
![[finalphi3.gif]](finalphi3.gif)
Final Phase 3
![[finalamp3.gif]](finalamp3.gif)
Final Amplitude 3
![[finalphi4.gif]](finalphi4.gif)
Final Phase 4
![[finalamp4.gif]](finalamp4.gif)
Final Amplitude 4
![[finalphi5.gif]](finalphi5.gif)
Final Phase 5
![[finalamp5.gif]](finalamp5.gif)
Final Amplitude 5
![[finalphi6.gif]](finalphi6.gif)
Final Phase 6
![[finalamp6.gif]](finalamp6.gif)
Final Amplitude 6
![[finalphi7.gif]](finalphi7.gif)
Final Phase 7
![[finalamp7.gif]](finalamp7.gif)
Final Amplitude 7
![[finalphi8.gif]](finalphi8.gif)
Final Phase 8
![[finalamp8.gif]](finalamp8.gif)
Final Amplitude 8
![[finalphi9.gif]](finalphi9.gif)
Final Phase 9
![[finalamp9.gif]](finalamp9.gif)
Final Amplitude 9
![[finalphi10.gif]](finalphi10.gif)
Final Phase 10
![[finalamp10.gif]](finalamp10.gif)
Final Amplitude 10
![[finalphi11.gif]](finalphi11.gif)
Final Phase 11
![[finalamp11.gif]](finalamp11.gif)
Final Amplitude 11
![[finalphi12.gif]](finalphi12.gif)
Final Phase 12
![[finalamp12.gif]](finalamp12.gif)
Final Amplitude 12
![[finalphi13.gif]](finalphi13.gif)
Final Phase 13
![[finalamp13.gif]](finalamp13.gif)
Final Amplitude 13
![[finalphi14.gif]](finalphi14.gif)
Final Phase 14
![[finalamp14.gif]](finalamp14.gif)
Final Amplitude 14
![[finalphi15.gif]](finalphi15.gif)
Final Phase 15
![[finalamp15.gif]](finalamp15.gif)
Final Amplitude 15
![[zernike_model0.gif]](zernike_model0.gif)
Zernike model 0
![[small_scale0.gif]](small_scale0.gif)
Small scale errors 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
| ::holo3_par | |
|---|---|
| con.cal_degree | 0 |
| con.cal_spline_smooth | 0.0 |
| con.correct_for_reference_offset | 1 |
| con.correct_for_sec_diff | 1 |
| con.dft | 0 |
| con.dft_extent | 8.0 |
| con.dmV_dMHz | 29.0 |
| con.far_field | {650 12 0} {900 12 0} |
| con.far_perfect_zernikes | {0.0 4 0} {0.0 3 3} |
| con.fdecipher_method | 1 |
| con.fit_illumination | 0 |
| con.fit_panels | 1 |
| con.grid_cell | 0 |
| con.grid_even | 1 |
| con.grid_npts | 0 |
| con.grid_power_of_two | 1 |
| con.gridder_airy_size | 1.0 |
| con.gridder_extent | 6.0 |
| con.gridder_gaussian_size | 3.0 |
| con.gridder_minwt | 0.5 |
| con.gridder_nlutpts | 5000 |
| con.gridder_type | airy-gaussian |
| con.hilo_method | 2 |
| con.mask_refbeam | 3.87 -0.28 0.0 |
| con.nclip_per_cal_row | 5 |
| con.nclip_per_data_row | 5 |
| con.pattern_mask_scale | 0.98 |
| con.receiver_defocus | 0.0 |
| con.row_odd_even | all |
| con.secdiff_x0 | 0.060 |
| con.secdiff_y0 | -0.040 |
| con.shadow_scale | 1.25 |
| con.shadow_shift | 0.0 |
| con.subtract_zeropt | 1 |
| con.zernike_max_order | 3 |
| con.zernikes_to_fit | 0 1 2 4 |
| data.comment | |
| data.directory | /net/moana/export/data/janw/rxh3 |
| data.filename | rxh3-20050213-173829.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 1.47 |
| data.pointing_offset_y | 12.8 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.88 |
| data.trim_box | |
| data.trim_pixels | |
| err.cal_max_damp | 1.02 |
| err.cal_max_dphi | 10.0 |
| err.tracking_max_range | 4.0 |
| err.tracking_max_rms | 2.0 |
| geom.distance_source | 695.0 |
| geom.focal_bigf | 180.0 |
| geom.focal_littlef | 5.4 |
| geom.mirror_position_x | +1.850 |
| geom.mirror_position_y | +3.861 |
| geom.mirror_position_z | -0.240 |
| geom.primary_diameter | 15.0 |
| geom.secondary_shadow | 1.0 |
| int.secondary_defocus | 0.03388 |
| out.aperture_as_text | 0 |
| out.delete_old | 1 |
| out.farfield_conts | 1 2 3 4 5 10 20 30 40 50 60 70 80 90 |
| out.graph | 2 |
| out.loglevel | 8 |
| out.lut | heat |
| out.plot_device | gif |
| out.plot_height | 600 |
| out.plot_range | 80 |
| out.plot_range_largescale | 25 |
| out.plot_width | 800 |
| out.save_results | 1 |
| out.subdirspec | d |
| out.thumbnails | 1 |
| out.topdir | /home/janw/rxh3/Rxh3red |
| pan.bad_motor_file | |
| pan.edge_factor | 1.0 |
| pan.max_move | 100 |
| pan.min_weight | 0.1 |
| pan.panel_scale | 3.0 |
| pan.zernikes_to_ignore | |
| pan.zero_wt_outside | 1 |
Reduction started at: 20050213-185407
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20050213-173829.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 = 2402.5 max = 2431.2 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.880 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 -3.13477 3.07861 -0.02855
loimag -3.23730 3.14209 0.00734
hireal -5.00000 4.99756 -0.45799
hiimag -5.00000 4.99756 -0.17353
xpos -2431.22804 2420.19259 -8.48324
ypos -2402.52510 2402.61887 -0.00041
plock160 0.84473 2.30225 1.63384
lorefpwr 0.25146 1.65527 1.20614
losigpwr -4.59961 -0.19775 -4.41694
hirefpwr 0.32715 1.70654 1.26616
hisigpwr -4.50195 4.99756 -0.75481
encltemp 31.66504 33.03223 32.26970
flags 0.00000 256.00000 2.76738
phi-lock -1.26221 0.12207 -0.60056
sindex 0.00000 128.00000 63.61104
time 0.00000 2948.00865 1473.10859
zeropt -0.00732 -0.00244 -0.00491
!!!Warning!!! philock max less than 0.2
----------------------------------------------------
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 = 40.00605 arcsec
Mean row spacing = 40.00607 arcsec (alternate estimator)
Mean tracking incline = 0.04601 arcsec
Mean pointing range = 0.57482 arcsec
Mean pointing rms = 0.10497 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (1.47, 12.8 ) 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: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22677 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22677 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 = 2431.23 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 = 2.989 at (0.0, 0.0) arcsec
Real: mean = 0.00185194 sum of squares = 1083.11
Imag: mean = -0.00132921 sum of squares = 900.432
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 = 2.98311 at (0.0, 0.0) arcsec
Real: mean = 0.00136911 sum of squares = 1071.21
Imag: mean = -0.0014117 sum of squares = 910.756
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 = 2.98146 at (0.0, 0.0) arcsec
Real: mean = 0.000980047 sum of squares = 1004.19
Imag: mean = -0.00191615 sum of squares = 976.454
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 = 3.00218 at (0.0, 0.0) arcsec
Real: mean = 0.000954818 sum of squares = 927.789
Imag: mean = -0.00263312 sum of squares = 1050.86
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 = 3.02504 at (0.0, 0.0) arcsec
Real: mean = 0.00139619 sum of squares = 893.26
Imag: mean = -0.00312275 sum of squares = 1085.2
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 = 3.06067 at (0.0, 0.0) arcsec
Real: mean = 0.00189142 sum of squares = 925.44
Imag: mean = -0.00325362 sum of squares = 1053.36
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 = 3.10748 at (0.0, 0.0) arcsec
Real: mean = 0.002305 sum of squares = 1007.09
Imag: mean = -0.00321603 sum of squares = 976.069
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 = 3.15285 at (0.0, 0.0) arcsec
Real: mean = 0.00262063 sum of squares = 1079.61
Imag: mean = -0.003125 sum of squares = 907.737
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 = 3.18063 at (0.0, 0.0) arcsec
Real: mean = 0.00298474 sum of squares = 1089.76
Imag: mean = -0.00299518 sum of squares = 903.767
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 = 3.1906 at (0.0, 0.0) arcsec
Real: mean = 0.0033365 sum of squares = 1029.89
Imag: mean = -0.00261046 sum of squares = 970.101
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 = 3.17472 at (0.0, 0.0) arcsec
Real: mean = 0.00339931 sum of squares = 947.499
Imag: mean = -0.00203103 sum of squares = 1058.39
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 = 3.14595 at (0.0, 0.0) arcsec
Real: mean = 0.00315012 sum of squares = 907.395
Imag: mean = -0.00153033 sum of squares = 1101.15
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 = 3.10296 at (0.0, 0.0) arcsec
Real: mean = 0.00273871 sum of squares = 938.288
Imag: mean = -0.00138774 sum of squares = 1072.18
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 = 3.07027 at (0.0, 0.0) arcsec
Real: mean = 0.00249567 sum of squares = 1016.63
Imag: mean = -0.00132459 sum of squares = 994.175
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 = 3.04141 at (0.0, 0.0) arcsec
Real: mean = 0.00216773 sum of squares = 1086.93
Imag: mean = -0.00134452 sum of squares = 926.934
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 = 3.03713 at (0.0, 0.0) arcsec
Real: mean = 0.00181383 sum of squares = 1103.16
Imag: mean = -0.00148595 sum of squares = 914.719
Masking frequency index 0
Mask scale size = 3.05893
Masking frequency index 1
Mask scale size = 3.059
Masking frequency index 2
Mask scale size = 3.05908
Masking frequency index 3
Mask scale size = 3.05916
Masking frequency index 4
Mask scale size = 3.05923
Masking frequency index 5
Mask scale size = 3.05931
Masking frequency index 6
Mask scale size = 3.05938
Masking frequency index 7
Mask scale size = 3.05946
Masking frequency index 8
Mask scale size = 3.05954
Masking frequency index 9
Mask scale size = 3.05961
Masking frequency index 10
Mask scale size = 3.05969
Masking frequency index 11
Mask scale size = 3.05977
Masking frequency index 12
Mask scale size = 3.05984
Masking frequency index 13
Mask scale size = 3.05992
Masking frequency index 14
Mask scale size = 3.05999
Masking frequency index 15
Mask scale size = 3.06007
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.17334
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.185547
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: 0.202637
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.163574
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.0170898
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 0.7843 109.4
Freq 1: Shift, scale = 0.35143 109.19
Freq 2: Shift, scale = -0.079015 107.96
Freq 3: Shift, scale = -0.51 106.44
Freq 4: Shift, scale = -0.94236 104.63
Freq 5: Shift, scale = -1.3765 103.13
Freq 6: Shift, scale = -1.816 102.26
Freq 7: Shift, scale = -2.2613 102.09
Freq 8: Shift, scale = -2.7112 102.79
Freq 9: Shift, scale = 3.1219 103.9
Freq 10: Shift, scale = 2.6736 105.3
Freq 11: Shift, scale = 2.2308 106.79
Freq 12: Shift, scale = 1.7924 108.27
Freq 13: Shift, scale = 1.3608 109.27
Freq 14: Shift, scale = 0.93371 110.14
Freq 15: Shift, scale = 0.50464 110.08
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 = 3
piston: -0.249 radians
x offset: -0.08 arcsec
y offset: 0.0607 arcsec
defocus: -0.00451 mm
Estimated x pointing error is 1.39 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.86 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.875 mm (used 2.88 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.242 radians
x offset: -0.0933 arcsec
y offset: 0.0507 arcsec
defocus: -0.00515 mm
Estimated x pointing error is 1.377 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.85 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.875 mm (used 2.88 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.235 radians
x offset: -0.0988 arcsec
y offset: 0.0315 arcsec
defocus: -0.0082 mm
Estimated x pointing error is 1.371 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.83 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.872 mm (used 2.88 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.229 radians
x offset: -0.103 arcsec
y offset: 0.036 arcsec
defocus: -0.0109 mm
Estimated x pointing error is 1.367 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.84 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.869 mm (used 2.88 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.225 radians
x offset: -0.107 arcsec
y offset: 0.0433 arcsec
defocus: -0.0123 mm
Estimated x pointing error is 1.363 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.84 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.868 mm (used 2.88 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.223 radians
x offset: -0.124 arcsec
y offset: 0.0512 arcsec
defocus: -0.0135 mm
Estimated x pointing error is 1.346 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.85 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.866 mm (used 2.88 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.226 radians
x offset: -0.133 arcsec
y offset: 0.0762 arcsec
defocus: -0.0131 mm
Estimated x pointing error is 1.337 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.88 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.867 mm (used 2.88 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.233 radians
x offset: -0.133 arcsec
y offset: 0.1 arcsec
defocus: -0.011 mm
Estimated x pointing error is 1.337 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.9 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.869 mm (used 2.88 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.245 radians
x offset: -0.136 arcsec
y offset: 0.106 arcsec
defocus: -0.00975 mm
Estimated x pointing error is 1.334 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.91 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.87 mm (used 2.88 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.256 radians
x offset: -0.115 arcsec
y offset: 0.0794 arcsec
defocus: -0.00847 mm
Estimated x pointing error is 1.355 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.88 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.872 mm (used 2.88 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.267 radians
x offset: -0.0997 arcsec
y offset: 0.0487 arcsec
defocus: -0.0087 mm
Estimated x pointing error is 1.37 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.85 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.871 mm (used 2.88 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.271 radians
x offset: -0.0715 arcsec
y offset: 0.0178 arcsec
defocus: -0.00874 mm
Estimated x pointing error is 1.398 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.82 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.871 mm (used 2.88 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.271 radians
x offset: -0.0466 arcsec
y offset: -0.00534 arcsec
defocus: -0.0108 mm
Estimated x pointing error is 1.423 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.79 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.869 mm (used 2.88 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.266 radians
x offset: -0.0355 arcsec
y offset: -0.0284 arcsec
defocus: -0.0139 mm
Estimated x pointing error is 1.435 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.77 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.866 mm (used 2.88 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.257 radians
x offset: -0.0236 arcsec
y offset: -0.038 arcsec
defocus: -0.019 mm
Estimated x pointing error is 1.446 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.76 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.861 mm (used 2.88 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.248 radians
x offset: -0.0196 arcsec
y offset: -0.0438 arcsec
defocus: -0.0214 mm
Estimated x pointing error is 1.45 arcsec (used 1.47 arcsec)
Estimated y pointing error is 12.76 arcsec (used 12.8 arcsec)
Estimated defocus error is 2.859 mm (used 2.88 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 0.00020 piston
1 1 -0.00064 tilt_x
1 -1 0.02597 tilt_y
2 2 0.05971 astigmatism_0
2 0 0.00428 curvature
2 -2 0.03079 astigmatism45
3 3 -0.01394 trefoil_0
3 1 -0.02043 coma_x
3 -1 0.06550 coma_y
3 -3 -0.02585 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 0.00018 piston
1 1 -0.00152 tilt_x
1 -1 0.02540 tilt_y
2 2 0.05977 astigmatism_0
2 0 0.00422 curvature
2 -2 0.03130 astigmatism45
3 3 -0.01182 trefoil_0
3 1 -0.02280 coma_x
3 -1 0.06388 coma_y
3 -3 -0.02571 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 0.00017 piston
1 1 -0.00204 tilt_x
1 -1 0.02546 tilt_y
2 2 0.05878 astigmatism_0
2 0 0.00427 curvature
2 -2 0.03122 astigmatism45
3 3 -0.01089 trefoil_0
3 1 -0.02378 coma_x
3 -1 0.06405 coma_y
3 -3 -0.02494 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 0.00020 piston
1 1 -0.00144 tilt_x
1 -1 0.02593 tilt_y
2 2 0.05702 astigmatism_0
2 0 0.00457 curvature
2 -2 0.03054 astigmatism45
3 3 -0.01177 trefoil_0
3 1 -0.02131 coma_x
3 -1 0.06544 coma_y
3 -3 -0.02453 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 0.00019 piston
1 1 -0.00102 tilt_x
1 -1 0.02743 tilt_y
2 2 0.05594 astigmatism_0
2 0 0.00473 curvature
2 -2 0.03073 astigmatism45
3 3 -0.01370 trefoil_0
3 1 -0.01946 coma_x
3 -1 0.06916 coma_y
3 -3 -0.02355 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 0.00020 piston
1 1 0.00009 tilt_x
1 -1 0.02865 tilt_y
2 2 0.05490 astigmatism_0
2 0 0.00495 curvature
2 -2 0.03020 astigmatism45
3 3 -0.01633 trefoil_0
3 1 -0.01580 coma_x
3 -1 0.07224 coma_y
3 -3 -0.02343 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 0.00016 piston
1 1 0.00083 tilt_x
1 -1 0.02963 tilt_y
2 2 0.05603 astigmatism_0
2 0 0.00488 curvature
2 -2 0.03024 astigmatism45
3 3 -0.01837 trefoil_0
3 1 -0.01401 coma_x
3 -1 0.07457 coma_y
3 -3 -0.02359 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 0.00018 piston
1 1 0.00148 tilt_x
1 -1 0.03007 tilt_y
2 2 0.05709 astigmatism_0
2 0 0.00487 curvature
2 -2 0.02988 astigmatism45
3 3 -0.01885 trefoil_0
3 1 -0.01256 coma_x
3 -1 0.07571 coma_y
3 -3 -0.02476 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 0.00016 piston
1 1 0.00161 tilt_x
1 -1 0.02989 tilt_y
2 2 0.05931 astigmatism_0
2 0 0.00464 curvature
2 -2 0.03062 astigmatism45
3 3 -0.01880 trefoil_0
3 1 -0.01314 coma_x
3 -1 0.07520 coma_y
3 -3 -0.02606 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 0.00018 piston
1 1 0.00139 tilt_x
1 -1 0.02932 tilt_y
2 2 0.06136 astigmatism_0
2 0 0.00445 curvature
2 -2 0.03145 astigmatism45
3 3 -0.01719 trefoil_0
3 1 -0.01455 coma_x
3 -1 0.07391 coma_y
3 -3 -0.02506 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 0.00020 piston
1 1 0.00085 tilt_x
1 -1 0.02793 tilt_y
2 2 0.06179 astigmatism_0
2 0 0.00430 curvature
2 -2 0.03125 astigmatism45
3 3 -0.01525 trefoil_0
3 1 -0.01661 coma_x
3 -1 0.07057 coma_y
3 -3 -0.02357 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 0.00022 piston
1 1 0.00073 tilt_x
1 -1 0.02675 tilt_y
2 2 0.06121 astigmatism_0
2 0 0.00425 curvature
2 -2 0.03129 astigmatism45
3 3 -0.01378 trefoil_0
3 1 -0.01706 coma_x
3 -1 0.06759 coma_y
3 -3 -0.02192 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 0.00018 piston
1 1 0.00008 tilt_x
1 -1 0.02594 tilt_y
2 2 0.06017 astigmatism_0
2 0 0.00412 curvature
2 -2 0.03110 astigmatism45
3 3 -0.01314 trefoil_0
3 1 -0.01886 coma_x
3 -1 0.06549 coma_y
3 -3 -0.02061 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 0.00016 piston
1 1 -0.00019 tilt_x
1 -1 0.02588 tilt_y
2 2 0.05911 astigmatism_0
2 0 0.00417 curvature
2 -2 0.02996 astigmatism45
3 3 -0.01473 trefoil_0
3 1 -0.01946 coma_x
3 -1 0.06568 coma_y
3 -3 -0.02044 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 0.00012 piston
1 1 -0.00037 tilt_x
1 -1 0.02638 tilt_y
2 2 0.05964 astigmatism_0
2 0 0.00415 curvature
2 -2 0.02872 astigmatism45
3 3 -0.01671 trefoil_0
3 1 -0.01993 coma_x
3 -1 0.06735 coma_y
3 -3 -0.02092 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 0.00010 piston
1 1 -0.00060 tilt_x
1 -1 0.02766 tilt_y
2 2 0.06057 astigmatism_0
2 0 0.00422 curvature
2 -2 0.02813 astigmatism45
3 3 -0.01829 trefoil_0
3 1 -0.02042 coma_x
3 -1 0.07083 coma_y
3 -3 -0.02186 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: 26.6 20.9 21.6 24.6 22.9 26.8 33.9 29.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.3 19.6 19.8 22.5 22 24.1 33.9 28
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.94 7.36 9.26 9.64 9.06 10.3 17 11.5
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26 21 21.6 24 23.1 26.5 33.6 29.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 19.9 19.9 21.8 22.1 23.7 33.9 28.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.89 7.28 9.17 9.56 9.02 10.3 16.9 11.5
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25 20.9 21.4 23.9 23.3 26.3 34.2 29.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.7 19.8 19.8 21.7 22.3 23.5 34.6 28.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.92 7.33 9.22 9.58 8.96 10.2 16.7 11.4
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 21.1 21.1 24.2 23.6 26.2 34.5 29.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 19.9 19.5 22.1 22.8 23.4 35.1 28.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.95 7.37 9.26 9.58 8.85 9.93 16.5 11.3
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 21.2 20.7 24.7 23.7 26.3 35.1 30.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 19.8 18.9 22.7 23.1 23.5 35.4 29.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.12 7.69 9.63 9.88 8.96 9.83 16.6 11.4
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 21.5 20.6 25.2 23.8 26.8 35.6 30.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.3 20.1 18.6 23.4 23.3 24.1 35.6 29.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.24 7.9 9.88 10.1 9.02 9.75 16.7 11.5
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 21.5 21.1 26 23.9 27.1 36.5 30.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 20 19 24.3 23.5 24.5 36.1 29.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.35 8.11 10.1 10.3 9.21 9.95 17.1 11.8
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.9 21.6 22.3 26.9 24.1 27.2 37.2 31.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.6 20.2 20.3 25.1 23.7 24.8 36.3 29.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.4 8.2 10.2 10.5 9.34 10.1 17.3 11.9
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.4 22 23.4 27.7 24.3 27.4 37.7 31.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 20.5 21.5 25.9 23.7 25 36.6 29.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.38 8.17 10.2 10.5 9.49 10.4 17.7 12.1
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.2 22.1 24 28.1 24 27.5 37.3 31.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.1 20.6 22.1 26.2 23.4 25 36.2 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.32 8.07 10.1 10.4 9.56 10.6 17.8 12.2
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.3 21.8 23.8 27.7 23.6 27.3 36.6 30.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.1 20.3 22.1 25.8 23 24.8 35.7 29.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.16 7.77 9.76 10.1 9.38 10.6 17.5 11.9
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.2 21.5 22.8 27.7 23 26.9 35.3 29.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.9 20.2 21 25.7 22.3 24.3 34.8 28.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4 7.48 9.4 9.76 9.16 10.4 17.1 11.6
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.8 21.1 20.9 27.5 22.6 26.5 34.8 29.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.5 19.9 19.1 25.5 22 23.8 34.5 28.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.91 7.31 9.2 9.55 8.98 10.2 16.7 11.4
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 20.8 21.1 26.3 22.5 26.5 34.3 29.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.7 19.8 19.2 24.2 21.9 23.8 34 28
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.93 7.34 9.23 9.55 8.9 10.1 16.6 11.3
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.7 20.5 21.4 25.3 22.6 26.6 34.1 29.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.5 19.5 19.7 23.1 22 23.8 33.9 28
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.03 7.52 9.44 9.75 9.01 10.1 16.8 11.5
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 20.8 21.6 24.6 22.8 26.8 34 29.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.9 19.6 19.8 22.3 22.2 23.9 33.7 28.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 4.23 7.89 9.88 10.2 9.27 10.3 17.3 11.8
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 21.8 19.9 19.7 23 22 25.3 33.7 28.4
Mean deviation is 2.2090195187432382 microns
Taper = 10 dB, Ruze illumination-weighted rms = 27.5 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 = 25.5 micron
Centre pixel: 64.0 64.0 Value = 2690.59 (estimate), 3426.12 (perfect)
Strehl = 0.616724
Strehl ratio estimate = 0.6167
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 = 25.3 micron
Centre pixel: 64.0 64.0 Value = 2172.66 (estimate), 3426.12 (perfect)
Strehl = 0.402141
Strehl ratio estimate = 0.4021
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 1.7 15.4 16.1 22.4
2 1 2 -1.5 15.2 31.3 34.8
3 1 3 7.9 29.8 -8.3 31.9
4 1 4 23.2 15.0 25.2 37.4
5 1 5 9.8 31.2 34.7 47.7
6 1 6 -14.3 9.5 13.1 21.6
7 1 7 -15.5 12.1 40.4 44.9
8 1 8 -20.0 47.3 64.8 82.6
9 1 9 -21.8 23.9 35.6 48.1
10 1 10 5.9 33.7 31.4 46.5
11 1 11 30.3 27.8 39.2 56.8
12 1 12 31.7 32.6 18.0 48.9
13 2 1 21.2 11.1 8.0 25.2
14 2 2 7.6 40.2 25.2 48.0
15 2 3 42.4 6.3 15.3 45.5
16 2 4 30.2 19.9 10.5 37.6
17 2 5 22.1 18.8 22.2 36.5
18 2 6 13.5 39.2 50.7 65.5
19 2 7 26.1 26.7 17.4 41.2
20 2 8 48.3 27.4 2.6 55.6
21 2 9 19.3 0.9 3.0 19.6
22 2 10 25.2 -4.4 -11.6 28.1
23 2 11 8.0 2.0 -2.6 8.7
24 2 12 0.5 1.2 -5.4 5.6
25 2 13 2.2 -17.3 -16.5 24.0
26 2 14 0.7 1.9 1.3 2.4
27 2 15 1.9 3.8 -8.8 9.8
28 2 16 41.4 -21.0 -4.5 46.6
29 2 17 27.9 9.1 11.0 31.3
30 2 18 26.1 16.2 33.1 45.2
31 2 19 33.1 14.8 29.9 47.0
32 2 20 42.1 9.3 1.3 43.1
33 2 21 37.6 -0.7 0.5 37.6
34 2 22 47.0 -2.7 3.5 47.2
35 2 23 44.7 12.7 11.6 47.9
36 2 24 21.8 4.8 18.2 28.8
37 3 1 6.4 10.5 23.8 26.8
38 3 2 7.6 2.4 14.7 16.7
39 3 3 -2.1 7.9 14.8 16.9
40 3 4 7.3 2.0 29.9 30.9
41 3 5 4.2 16.7 22.3 28.2
42 3 6 9.5 7.7 8.3 14.8
43 3 7 12.1 6.7 -6.7 15.3
44 3 8 14.9 10.3 8.1 19.9
45 3 9 18.5 6.8 6.6 20.8
46 3 10 6.7 10.1 -2.9 12.5
47 3 11 32.7 15.3 17.1 40.0
48 3 12 22.1 35.2 16.2 44.6
49 3 13 -9.7 19.8 -2.1 22.1
50 3 14 10.7 1.9 -8.2 13.7
51 3 15 -4.6 1.5 -15.9 16.6
52 3 16 5.0 -7.1 -2.8 9.1
53 3 17 12.8 2.0 -10.6 16.7
54 3 18 2.3 -2.1 -7.6 8.2
55 3 19 5.7 -1.1 -15.1 16.1
56 3 20 6.5 -8.5 -13.3 17.1
57 3 21 1.8 -13.0 0.2 13.1
58 3 22 -17.9 -13.2 -6.1 23.0
59 3 23 9.6 -8.4 -11.8 17.4
60 3 24 -29.3 -16.3 -27.0 43.0
61 3 25 -18.1 -20.0 -20.8 34.1
62 3 26 -6.8 -18.8 -21.0 29.0
63 3 27 -15.7 -13.9 -15.8 26.3
64 3 28 2.6 -20.7 -17.4 27.1
65 3 29 8.9 -13.5 -26.7 31.3
66 3 30 -4.6 -30.9 -49.3 58.4
67 3 31 -3.3 -16.4 -14.6 22.2
68 3 32 6.5 3.6 -19.7 21.1
69 3 33 14.8 1.7 -5.6 16.0
70 3 34 15.4 11.4 -24.7 31.3
71 3 35 51.2 13.8 -6.4 53.4
72 3 36 29.4 29.3 -2.2 41.5
73 3 37 44.5 31.7 13.1 56.2
74 3 38 31.3 -4.7 18.7 36.8
75 3 39 11.2 -4.7 -3.7 12.7
76 3 40 18.5 0.1 -2.0 18.6
77 3 41 22.1 3.3 7.3 23.6
78 3 42 13.5 14.1 0.5 19.5
79 3 43 15.8 13.7 -7.0 22.1
80 3 44 28.4 5.0 -3.0 28.9
81 3 45 28.1 -6.0 -7.4 29.7
82 3 46 3.5 5.6 -3.8 7.7
83 3 47 12.7 1.4 24.5 27.7
84 3 48 0.6 7.5 12.4 14.5
85 4 1 15.1 -33.6 -11.3 38.5
86 4 2 -10.0 -23.6 -17.7 31.1
87 4 3 5.6 -25.6 -42.9 50.3
88 4 4 16.3 -17.8 -43.8 50.0
89 4 5 28.1 -9.7 -22.3 37.2
90 4 6 19.7 -1.9 -8.4 21.5
91 4 7 3.7 -1.7 6.6 7.7
92 4 8 -4.4 0.8 -17.1 17.7
93 4 9 14.7 -1.5 3.6 15.2
94 4 10 2.5 -8.1 -4.2 9.5
95 4 11 -12.6 -1.6 7.2 14.6
96 4 12 17.5 17.0 1.3 24.5
97 4 13 -14.2 -3.3 10.5 18.0
98 4 14 -19.4 -0.4 -2.1 19.5
99 4 15 -22.9 -15.3 6.4 28.3
100 4 16 -23.7 -9.7 8.1 26.8
101 4 17 -14.0 -7.1 7.5 17.4
102 4 18 21.1 -22.4 2.7 30.9
103 4 19 0.3 -21.5 -34.6 40.7
104 4 20 -18.6 -30.4 -22.5 42.1
105 4 21 -28.3 -35.4 -7.2 45.9
106 4 22 -27.2 -24.4 -1.9 36.6
107 4 23 -29.3 -41.5 -24.0 56.2
108 4 24 27.6 -19.1 2.5 33.6
109 4 25 25.4 -20.4 43.2 54.1
110 4 26 -34.3 -23.2 26.7 49.3
111 4 27 -52.3 -25.9 -16.9 60.8
112 4 28 -40.9 -48.5 -18.4 66.0
113 4 29 -37.7 -43.9 -82.3 100.6
114 4 30 -39.9 -49.1 -27.5 69.0
115 4 31 -22.8 -53.0 -21.5 61.6
116 4 32 -29.6 -25.0 -29.5 48.6
117 4 33 -4.5 -23.2 -4.6 24.1
118 4 34 -17.9 -12.8 -3.2 22.2
119 4 35 -31.4 4.2 -7.5 32.5
120 4 36 -13.7 8.4 -6.0 17.1
121 4 37 39.5 16.8 1.8 42.9
122 4 38 6.8 -13.8 16.3 22.5
123 4 39 -5.7 -10.1 7.5 13.8
124 4 40 3.1 -12.7 7.3 15.0
125 4 41 -4.2 -3.6 5.5 7.8
126 4 42 14.6 -16.3 1.0 21.9
127 4 43 4.1 -19.7 21.1 29.2
128 4 44 2.2 -3.1 8.0 8.8
129 4 45 4.0 -14.5 -13.7 20.4
130 4 46 7.8 -20.7 -28.3 35.9
131 4 47 -0.2 -21.0 -40.3 45.4
132 4 48 4.2 -34.4 -14.4 37.5
133 5 1 -16.0 -19.5 -12.8 28.3
134 5 2 20.5 21.6 -43.8 52.9
135 5 3 -24.6 -22.3 -36.5 49.3
136 5 4 -8.8 -23.0 11.1 27.1
137 5 5 -15.8 -19.6 -25.9 36.1
138 5 6 -2.5 -10.5 -33.4 35.1
139 5 7 18.5 -11.4 -1.8 21.8
140 5 8 9.8 6.8 -1.2 12.0
141 5 9 -14.4 -1.9 3.1 14.9
142 5 10 4.2 11.5 1.4 12.3
143 5 11 1.9 3.0 -7.0 7.8
144 5 12 -16.5 9.3 -7.4 20.4
145 5 13 -8.4 3.6 12.9 15.8
146 5 14 1.9 19.7 -8.4 21.5
147 5 15 -11.1 11.6 17.6 23.8
148 5 16 -5.5 -0.1 7.3 9.2
149 5 17 -15.3 -8.4 -15.4 23.3
150 5 18 -22.6 -28.2 179.1 182.7
151 5 19 -32.5 -27.7 12.9 44.6
152 5 20 -17.7 1.5 -1.5 17.8
153 5 21 -9.6 -2.7 4.3 10.9
154 5 22 -3.8 15.0 -16.4 22.6
155 5 23 0.9 12.1 -17.0 20.9
156 5 24 1.7 -4.8 -9.8 11.0
157 5 25 -4.1 -9.6 -4.6 11.4
158 5 26 -1.9 3.2 -23.1 23.4
159 5 27 -13.6 12.7 5.6 19.4
160 5 28 -19.2 -28.4 14.0 37.0
161 5 29 -31.9 -24.4 -10.9 41.6
162 5 30 -32.9 -36.1 -3.7 49.0
163 5 31 -38.1 -33.3 -19.1 54.1
164 5 32 -37.6 -24.0 -29.9 53.7
165 5 33 -20.9 -41.8 2.4 46.8
166 5 34 -19.8 1.3 -8.8 21.7
167 5 35 5.4 13.7 -5.2 15.6
168 5 36 -1.0 14.4 15.4 21.1
169 5 37 3.5 17.3 23.7 29.5
170 5 38 18.7 -1.0 9.7 21.1
171 5 39 -10.4 24.5 -41.2 49.0
172 5 40 2.3 -13.9 -5.8 15.2
173 5 41 4.8 -4.7 10.7 12.7
174 5 42 2.2 -5.7 9.4 11.2
175 5 43 11.1 -4.6 -32.9 35.0
176 5 44 -2.9 -19.7 -28.3 34.6
177 5 45 6.9 -19.0 -27.1 33.8
178 5 46 -9.6 -38.6 18.3 43.7
179 5 47 41.6 22.1 -54.0 71.6
180 5 48 2.2 -19.0 -18.8 26.8
181 6 1 -30.9 -35.6 1.6 47.1
182 6 2 -18.1 -32.7 -20.3 42.5
183 6 3 -11.3 -38.8 -7.7 41.1
184 6 4 -25.2 -42.6 -34.8 60.5
185 6 5 -21.8 -22.9 -38.9 50.2
186 6 6 -36.7 -30.4 -28.0 55.2
187 6 7 -11.8 -26.9 -16.6 33.7
188 6 8 -14.5 -4.5 -30.8 34.3
189 6 9 34.8 -16.1 66.4 76.6
190 6 10 37.8 7.1 41.2 56.4
191 6 11 1.8 5.2 -0.4 5.5
192 6 12 -7.4 0.2 13.2 15.2
193 6 13 7.1 14.8 20.1 26.0
194 6 14 -14.5 11.3 12.2 22.1
195 6 15 29.7 10.8 18.4 36.5
196 6 16 26.5 -10.4 42.8 51.4
197 6 17 -12.1 -8.5 25.5 29.5
198 6 18 -6.1 -2.4 36.3 36.9
199 6 19 1.0 -3.0 39.9 40.0
200 6 20 16.3 5.7 18.3 25.2
201 6 21 -41.8 -10.2 -83.6 94.0
202 6 22 0.9 0.0 31.1 31.1
203 6 23 -17.4 4.4 19.8 26.8
204 6 24 -23.4 -10.8 26.5 37.0
205 6 25 -32.2 -11.4 16.2 37.8
206 6 26 -16.0 -8.4 0.2 18.1
207 6 27 -9.6 -9.3 8.0 15.6
208 6 28 53.0 40.3 189.0 200.3
209 6 29 -6.2 6.0 12.3 15.0
210 6 30 -26.1 -8.6 61.9 67.7
211 6 31 -36.7 -8.4 30.1 48.2
212 6 32 -30.1 -19.1 9.7 37.0
213 6 33 28.2 -8.1 156.3 159.1
214 6 34 78.3 -0.4 63.4 100.7
215 6 35 -4.6 8.7 40.1 41.3
216 6 36 5.0 55.0 37.5 66.8
217 6 37 13.8 39.2 58.4 71.7
218 6 38 19.8 13.4 25.8 35.2
219 6 39 31.6 11.0 52.2 62.0
220 6 40 -32.1 33.9 57.3 73.9
221 6 41 1.1 27.0 -2.5 27.2
222 6 42 -5.5 -18.0 17.8 25.9
223 6 43 -9.1 -19.8 4.0 22.1
224 6 44 -7.9 -19.7 -16.9 27.1
225 6 45 25.5 -40.1 22.8 52.7
226 6 46 -29.4 -41.3 11.1 51.9
227 6 47 -34.2 -37.5 -4.2 50.9
228 6 48 -35.1 -39.5 -5.8 53.1
229 7 1 -58.8 -4.0 1.2 58.9
230 7 2 -32.9 -25.5 -2.3 41.7
231 7 3 -2.5 -28.9 17.3 33.8
232 7 4 -15.3 28.2 45.7 55.8
233 7 5 4.4 -0.7 62.3 62.5
234 7 6 -15.9 10.2 52.1 55.5
235 7 7 -34.3 6.3 16.8 38.7
236 7 8 -21.3 30.7 -9.1 38.5
237 7 9 42.3 -14.6 83.0 94.3
238 7 10 37.1 39.9 46.1 71.3
239 7 11 12.1 42.3 11.5 45.5
240 7 12 8.3 44.4 44.5 63.4
241 7 13 24.9 52.1 64.8 86.8
242 7 14 23.2 53.0 43.9 72.7
243 7 15 21.8 39.0 47.2 65.0
244 7 16 52.6 54.3 45.9 88.5
245 7 17 28.6 1.7 54.2 61.3
246 7 18 22.7 44.1 38.3 62.6
247 7 19 39.3 39.2 44.4 71.1
248 7 20 42.0 5.4 63.2 76.1
249 7 21 62.0 95.1 46.8 122.8
250 7 22 34.3 37.5 36.3 62.5
251 7 23 19.0 38.3 19.8 47.1
252 7 24 3.7 43.1 42.6 60.7
253 7 25 -1.1 44.3 64.0 77.8
254 7 26 5.5 41.2 47.4 63.1
255 7 27 18.1 31.5 63.7 73.3
256 7 28 12.3 87.8 295.2 308.3
257 7 29 8.3 33.2 43.7 55.5
258 7 30 8.1 10.6 29.3 32.2
259 7 31 46.7 10.1 4.9 48.0
260 7 32 28.3 18.3 -1.6 33.8
261 7 33 49.9 -173.2 72.8 194.4
262 7 34 35.5 18.0 -13.1 41.9
263 7 35 43.1 30.8 5.1 53.2
264 7 36 44.9 45.5 25.4 68.8
265 7 37 66.2 43.3 45.0 91.0
266 7 38 58.4 38.0 17.0 71.7
267 7 39 65.0 37.0 9.0 75.3
268 7 40 72.3 183.0 10.6 197.0
269 7 41 34.5 26.5 35.3 56.0
270 7 42 22.5 9.8 18.4 30.7
271 7 43 -43.5 14.2 -25.5 52.3
272 7 44 13.5 -10.7 3.2 17.5
273 7 45 -31.1 -134.5 112.0 177.8
274 7 46 7.7 1.2 7.0 10.5
275 7 47 3.7 6.3 -20.2 21.4
276 7 48 -26.0 131.2 35.1 138.3
Creating sector-motor-move file
sector motor steps
1 1 14
1 2 8
1 3 -4
1 4 -10
1 5 -13
1 6 -7
1 7 5
1 8 -8
1 9 0
1 10 -2
1 11 -11
1 12 -3
1 13 0
1 14 -7
1 15 -10
1 16 -6
1 17 -10
1 18 -5
1 19 0
1 20 -1
1 21 -18
1 22 0
1 23 -10
1 24 -9
1 25 3
1 26 -7
1 27 -2
1 28 -13
1 29 -5
1 30 5
1 31 -11
1 32 -6
1 33 -7
1 34 -13
1 35 -7
1 36 1
1 37 -13
1 38 6
1 39 6
1 40 -5
1 41 -7
1 42 -3
1 43 -3
1 44 -5
1 45 -4
1 46 -3
1 47 -10
1 48 4
1 49 4
1 50 2
1 51 0
1 52 7
1 53 12
1 54 2
1 55 4
1 56 0
1 57 2
1 58 4
1 59 0
1 60 4
1 61 7
1 62 3
1 63 1
1 64 1
1 65 6
1 66 2
1 67 9
1 68 0
1 69 2
2 1 -2
2 2 9
2 3 -6
2 4 -9
2 5 -1
2 6 -4
2 7 5
2 8 1
2 9 -10
2 10 -5
2 11 -8
2 12 -3
2 13 15
2 14 3
2 15 -4
2 16 -8
2 17 -9
2 18 -11
2 19 19
2 20 0
2 21 1
2 22 -11
2 23 -7
2 24 -6
2 25 0
2 26 2
2 27 3
2 28 -5
2 29 0
2 30 -1
2 31 0
2 32 -3
2 33 5
2 34 2
2 35 0
2 36 1
2 37 -10
2 38 -3
2 39 0
2 40 -2
2 41 0
2 42 6
2 43 -7
2 44 -6
2 45 -4
2 46 -6
2 47 -2
2 48 8
2 49 -2
2 50 2
2 51 3
2 52 3
2 53 6
2 54 9
2 55 2
2 56 2
2 57 2
2 58 4
2 59 0
2 60 9
2 61 6
2 62 5
2 63 1
2 64 5
2 65 13
2 66 4
2 67 2
2 68 3
2 69 4
3 1 13
3 2 13
3 3 2
3 4 4
3 5 0
3 6 -2
3 7 3
3 8 12
3 9 3
3 10 0
3 11 1
3 12 0
3 13 14
3 14 12
3 15 11
3 16 12
3 17 2
3 18 11
3 19 25
3 20 -4
3 21 12
3 22 20
3 23 -4
3 24 10
3 25 -2
3 26 2
3 27 -5
3 28 0
3 29 5
3 30 5
3 31 -2
3 32 0
3 33 0
3 34 2
3 35 0
3 36 -3
3 37 0
3 38 3
3 39 1
3 40 -1
3 41 -2
3 42 0
3 43 0
3 44 0
3 45 -4
3 46 1
3 47 0
3 48 4
3 49 5
3 50 4
3 51 10
3 52 15
3 53 12
3 54 4
3 55 0
3 56 3
3 57 2
3 58 9
3 59 2
3 60 -2
3 61 2
3 62 2
3 63 5
3 64 8
3 65 6
3 66 6
3 67 4
3 68 10
3 69 6
4 1 14
4 2 16
4 3 16
4 4 13
4 5 -3
4 6 8
4 7 14
4 8 11
4 9 6
4 10 5
4 11 3
4 12 9
4 13 13
4 14 16
4 15 7
4 16 3
4 17 3
4 18 -4
4 19 19
4 20 15
4 21 7
4 22 6
4 23 4
4 24 2
4 25 2
4 26 0
4 27 -1
4 28 2
4 29 -2
4 30 -7
4 31 5
4 32 3
4 33 -3
4 34 1
4 35 -4
4 36 -7
4 37 -2
4 38 6
4 39 0
4 40 0
4 41 0
4 42 -5
4 43 3
4 44 1
4 45 -2
4 46 3
4 47 -1
4 48 -4
4 49 -4
4 50 0
4 51 -1
4 52 0
4 53 8
4 54 14
4 55 -2
4 56 0
4 57 3
4 58 4
4 59 7
4 60 7
4 61 0
4 62 6
4 63 -2
4 64 0
4 65 8
4 66 5
4 67 0
4 68 -2
4 69 1
5 1 19
5 2 1
5 3 12
5 4 5
5 5 1
5 6 4
5 7 13
5 8 12
5 9 12
5 10 12
5 11 0
5 12 0
5 13 11
5 14 13
5 15 6
5 16 11
5 17 0
5 18 -1
5 19 16
5 20 0
5 21 8
5 22 7
5 23 -2
5 24 -3
5 25 0
5 26 0
5 27 -5
5 28 -6
5 29 -9
5 30 -5
5 31 3
5 32 -8
5 33 -9
5 34 -10
5 35 -6
5 36 0
5 37 54
5 38 -8
5 39 -6
5 40 0
5 41 -6
5 42 6
5 43 -4
5 44 -2
5 45 -4
5 46 2
5 47 -2
5 48 -4
5 49 -4
5 50 0
5 51 1
5 52 -3
5 53 -1
5 54 7
5 55 -2
5 56 0
5 57 0
5 58 9
5 59 3
5 60 10
5 61 -3
5 62 0
5 63 3
5 64 0
5 65 5
5 66 0
5 67 -4
5 68 -2
5 69 1
6 1 13
6 2 13
6 3 1
6 4 8
6 5 -3
6 6 -7
6 7 6
6 8 11
6 9 5
6 10 6
6 11 1
6 12 -5
6 13 11
6 14 11
6 15 10
6 16 9
6 17 0
6 18 0
6 19 14
6 20 29
6 21 19
6 22 -25
6 23 -3
6 24 -12
6 25 -3
6 26 -1
6 27 0
6 28 0
6 29 -5
6 30 8
6 31 -5
6 32 3
6 33 0
6 34 -7
6 35 -12
6 36 -8
6 37 -5
6 38 4
6 39 -1
6 40 0
6 41 -7
6 42 -8
6 43 1
6 44 0
6 45 -2
6 46 -2
6 47 -10
6 48 -8
6 49 -3
6 50 -2
6 51 2
6 52 -1
6 53 0
6 54 0
6 55 -1
6 56 -4
6 57 -5
6 58 2
6 59 -4
6 60 4
6 61 0
6 62 -3
6 63 0
6 64 -5
6 65 2
6 66 0
6 67 -8
6 68 -4
6 69 -8
7 1 90
7 2 26
7 3 3
7 4 57
7 5 12
7 6 16
7 7 19
7 8 9
7 9 5
7 10 2
7 11 -2
7 12 -2
7 13 14
7 14 12
7 15 1
7 16 0
7 17 -2
7 18 -4
7 19 19
7 20 13
7 21 0
7 22 4
7 23 -3
7 24 -9
7 25 4
7 26 -8
7 27 -5
7 28 -5
7 29 -14
7 30 -12
7 31 1
7 32 3
7 33 -4
7 34 -5
7 35 -7
7 36 -16
7 37 -7
7 38 0
7 39 0
7 40 8
7 41 -7
7 42 -10
7 43 -1
7 44 -2
7 45 -1
7 46 13
7 47 -6
7 48 7
7 49 -4
7 50 -4
7 51 -4
7 52 0
7 53 0
7 54 0
7 55 -6
7 56 -5
7 57 -2
7 58 3
7 59 -4
7 60 12
7 61 -6
7 62 -6
7 63 -5
7 64 1
7 65 0
7 66 -5
7 67 -5
7 68 -6
7 69 0
8 1 0
8 2 5
8 3 8
8 4 2
8 5 -5
8 6 -9
8 7 1
8 8 3
8 9 14
8 10 9
8 11 -2
8 12 -11
8 13 9
8 14 3
8 15 2
8 16 18
8 17 -2
8 18 -8
8 19 13
8 20 10
8 21 2
8 22 3
8 23 1
8 24 -1
8 25 -9
8 26 -7
8 27 -11
8 28 -9
8 29 -7
8 30 -9
8 31 -5
8 32 -10
8 33 -11
8 34 -6
8 35 -16
8 36 -6
8 37 -1
8 38 -11
8 39 -10
8 40 -8
8 41 -15
8 42 -12
8 43 -3
8 44 -7
8 45 -9
8 46 -25
8 47 -13
8 48 -11
8 49 -4
8 50 -5
8 51 -1
8 52 -1
8 53 -6
8 54 12
8 55 -15
8 56 -9
8 57 -1
8 58 14
8 59 -6
8 60 19
8 61 -8
8 62 -4
8 63 2
8 64 2
8 65 0
8 66 -2
8 67 -6
8 68 1
8 69 2
9 1 7
9 2 13
9 3 13
9 4 11
9 5 16
9 6 1
9 7 1
9 8 9
9 9 13
9 10 12
9 11 2
9 12 -1
9 13 -4
9 14 5
9 15 10
9 16 19
9 17 0
9 18 24
9 19 22
9 20 -53
9 21 15
9 22 47
9 23 -2
9 24 8
9 25 4
9 26 4
9 27 0
9 28 -1
9 29 2
9 30 -4
9 31 -1
9 32 4
9 33 1
9 34 -2
9 35 1
9 36 -9
9 37 -2
9 38 0
9 39 -6
9 40 0
9 41 -3
9 42 -5
9 43 0
9 44 -12
9 45 -6
9 46 -1
9 47 -7
9 48 -1
9 49 -1
9 50 4
9 51 15
9 52 10
9 53 4
9 54 8
9 55 -7
9 56 3
9 57 4
9 58 7
9 59 -6
9 60 10
9 61 -1
9 62 0
9 63 4
9 64 4
9 65 8
9 66 3
9 67 0
9 68 8
9 69 9
10 1 3
10 2 56
10 3 22
10 4 17
10 5 10
10 6 -9
10 7 2
10 8 11
10 9 19
10 10 16
10 11 3
10 12 9
10 13 5
10 14 11
10 15 17
10 16 7
10 17 4
10 18 6
10 19 13
10 20 13
10 21 20
10 22 17
10 23 12
10 24 4
10 25 -1
10 26 -4
10 27 0
10 28 2
10 29 -3
10 30 0
10 31 -12
10 32 7
10 33 -3
10 34 2
10 35 -3
10 36 -1
10 37 2
10 38 0
10 39 5
10 40 5
10 41 -4
10 42 2
10 43 7
10 44 5
10 45 1
10 46 0
10 47 5
10 48 12
10 49 -1
10 50 -1
10 51 3
10 52 0
10 53 2
10 54 12
10 55 5
10 56 -1
10 57 9
10 58 10
10 59 1
10 60 9
10 61 4
10 62 9
10 63 13
10 64 0
10 65 10
10 66 9
10 67 0
10 68 0
10 69 5
11 1 0
11 2 -3
11 3 4
11 4 -5
11 5 -6
11 6 -2
11 7 -7
11 8 4
11 9 -13
11 10 1
11 11 -6
11 12 -2
11 13 5
11 14 3
11 15 6
11 16 5
11 17 -5
11 18 -1
11 19 10
11 20 8
11 21 10
11 22 0
11 23 8
11 24 0
11 25 -8
11 26 -6
11 27 0
11 28 2
11 29 0
11 30 0
11 31 -10
11 32 -1
11 33 3
11 34 6
11 35 -6
11 36 1
11 37 2
11 38 -1
11 39 0
11 40 0
11 41 -5
11 42 4
11 43 3
11 44 -1
11 45 1
11 46 1
11 47 -1
11 48 -1
11 49 -2
11 50 4
11 51 4
11 52 1
11 53 0
11 54 14
11 55 0
11 56 4
11 57 4
11 58 8
11 59 9
11 60 12
11 61 2
11 62 1
11 63 6
11 64 3
11 65 11
11 66 0
11 67 0
11 68 1
11 69 8
12 1 10
12 2 40
12 3 -7
12 4 -1
12 5 -12
12 6 -10
12 7 -6
12 8 1
12 9 1
12 10 -1
12 11 -11
12 12 -10
12 13 2
12 14 0
12 15 2
12 16 3
12 17 -12
12 18 -9
12 19 34
12 20 -41
12 21 -9
12 22 6
12 23 -12
12 24 7
12 25 -5
12 26 -5
12 27 0
12 28 -4
12 29 -10
12 30 1
12 31 -16
12 32 6
12 33 12
12 34 -12
12 35 -6
12 36 0
12 37 5
12 38 -11
12 39 -2
12 40 -8
12 41 -6
12 42 2
12 43 -8
12 44 -5
12 45 2
12 46 -4
12 47 -4
12 48 1
12 49 7
12 50 0
12 51 3
12 52 5
12 53 1
12 54 6
12 55 -1
12 56 1
12 57 1
12 58 10
12 59 9
12 60 5
12 61 -2
12 62 -1
12 63 8
12 64 3
12 65 13
12 66 3
12 67 3
12 68 2
12 69 0
Adjuster movements: rms = 30.8 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050213-190003
Creating HTML output file of plots
Plotting summary text