![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20041209-022652.fits
Reduced on 20041209-130757 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 | rxh3-20041209-022652.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -2.9 |
| data.pointing_offset_y | 14.6 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.87 |
| 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 | 0.033869999999999997 |
| 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: 20041209-130757
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041209-022652.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 = 2402.8 max = 2431.5 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.870 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 -3.13965 3.08838 -0.04202
loimag -3.27148 3.14697 0.00663
hireal -5.00000 4.99756 -0.54473
hiimag -5.00000 4.99756 -0.36550
xpos -2431.48238 2418.11791 -9.80223
ypos -2402.86208 2402.77131 -0.01715
plock160 0.31494 1.85059 1.13523
lorefpwr 0.13184 1.56250 1.09495
losigpwr -4.55811 -0.12695 -4.38180
hirefpwr 0.19287 1.60400 1.15108
hisigpwr -4.46289 4.99756 -0.70066
encltemp 31.71387 32.95898 32.20230
flags 0.00000 256.00000 2.76738
phi-lock -1.64551 -0.20752 -0.95984
sindex 0.00000 128.00000 63.61104
time 0.00000 2948.01347 1473.11340
zeropt -0.00732 -0.00244 -0.00484
!!!Warning!!! philock max less than 0.2
!!!Warning!!! philock min less than -1.5
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 129 rows
There are 121 data rows and 8 calibrator rows
Calibrator rows: 0 21 42 63 84 105 126 128
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 40.00628 arcsec
Mean row spacing = 40.00630 arcsec (alternate estimator)
Mean tracking incline = -0.24257 arcsec
Mean pointing range = 0.74401 arcsec
Mean pointing rms = 0.15940 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-2.9, 14.6 ) 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: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22682 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 = 2431.48 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 = 3.03639 at (0.0, 0.0) arcsec
Real: mean = 0.00111971 sum of squares = 935.057
Imag: mean = -0.00131925 sum of squares = 943.066
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 = 3.00484 at (0.0, 0.0) arcsec
Real: mean = 0.0010385 sum of squares = 1013.7
Imag: mean = -0.00149064 sum of squares = 866.094
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 = 2.98815 at (0.0, 0.0) arcsec
Real: mean = 0.000730012 sum of squares = 1039.24
Imag: mean = -0.00166833 sum of squares = 840.616
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 = 2.98511 at (0.0, 0.0) arcsec
Real: mean = 0.000449683 sum of squares = 996.33
Imag: mean = -0.00226143 sum of squares = 883.879
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 = 2.99381 at (0.0, 0.0) arcsec
Real: mean = 0.000652031 sum of squares = 913.906
Imag: mean = -0.00310309 sum of squares = 967.36
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 = 3.02317 at (0.0, 0.0) arcsec
Real: mean = 0.00142596 sum of squares = 848.301
Imag: mean = -0.00354897 sum of squares = 1035.02
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 = 3.06391 at (0.0, 0.0) arcsec
Real: mean = 0.00218214 sum of squares = 848.103
Imag: mean = -0.00350105 sum of squares = 1039.44
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 = 3.11376 at (0.0, 0.0) arcsec
Real: mean = 0.00270545 sum of squares = 916.963
Imag: mean = -0.00319921 sum of squares = 976.196
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 = 3.16095 at (0.0, 0.0) arcsec
Real: mean = 0.00307941 sum of squares = 1009.96
Imag: mean = -0.00285129 sum of squares = 890.572
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 = 3.19642 at (0.0, 0.0) arcsec
Real: mean = 0.00336075 sum of squares = 1060.62
Imag: mean = -0.00235161 sum of squares = 847.647
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 = 3.21485 at (0.0, 0.0) arcsec
Real: mean = 0.00336983 sum of squares = 1033.34
Imag: mean = -0.00173279 sum of squares = 884.8
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 = 3.21658 at (0.0, 0.0) arcsec
Real: mean = 0.00306095 sum of squares = 949.308
Imag: mean = -0.00117716 sum of squares = 976.911
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 = 3.18859 at (0.0, 0.0) arcsec
Real: mean = 0.00259841 sum of squares = 876.709
Imag: mean = -0.00089053 sum of squares = 1056.57
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 = 3.15049 at (0.0, 0.0) arcsec
Real: mean = 0.00215034 sum of squares = 871.264
Imag: mean = -0.0008182 sum of squares = 1066.72
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 = 3.09952 at (0.0, 0.0) arcsec
Real: mean = 0.00169881 sum of squares = 937.488
Imag: mean = -0.000805331 sum of squares = 1005.61
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 = 3.07636 at (0.0, 0.0) arcsec
Real: mean = 0.00114928 sum of squares = 1028.21
Imag: mean = -0.00101626 sum of squares = 922.059
Masking frequency index 0
Mask scale size = 3.05924
Masking frequency index 1
Mask scale size = 3.05932
Masking frequency index 2
Mask scale size = 3.05939
Masking frequency index 3
Mask scale size = 3.05947
Masking frequency index 4
Mask scale size = 3.05955
Masking frequency index 5
Mask scale size = 3.05962
Masking frequency index 6
Mask scale size = 3.0597
Masking frequency index 7
Mask scale size = 3.05977
Masking frequency index 8
Mask scale size = 3.05985
Masking frequency index 9
Mask scale size = 3.05993
Masking frequency index 10
Mask scale size = 3.06
Masking frequency index 11
Mask scale size = 3.06008
Masking frequency index 12
Mask scale size = 3.06015
Masking frequency index 13
Mask scale size = 3.06023
Masking frequency index 14
Mask scale size = 3.06031
Masking frequency index 15
Mask scale size = 3.06038
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.185547
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: 0.205078
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.19043
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: 0.178223
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0170898
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 1.4186 105.45
Freq 1: Shift, scale = 0.98448 105.94
Freq 2: Shift, scale = 0.54749 105.76
Freq 3: Shift, scale = 0.11366 104.92
Freq 4: Shift, scale = -0.31765 103.54
Freq 5: Shift, scale = -0.74838 102.12
Freq 6: Shift, scale = -1.1815 100.82
Freq 7: Shift, scale = -1.6165 100.11
Freq 8: Shift, scale = -2.0579 100.14
Freq 9: Shift, scale = -2.5082 100.48
Freq 10: Shift, scale = -2.9597 101.52
Freq 11: Shift, scale = 2.8761 102.74
Freq 12: Shift, scale = 2.4325 104.15
Freq 13: Shift, scale = 1.9935 105.48
Freq 14: Shift, scale = 1.5574 106.49
Freq 15: Shift, scale = 1.1268 107.52
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: -0.27 radians
x offset: 0.235 arcsec
y offset: 0.0348 arcsec
defocus: -0.00606 mm
Estimated x pointing error is -2.665 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.63 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.864 mm (used 2.87 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.266 radians
x offset: 0.236 arcsec
y offset: 0.00932 arcsec
defocus: -0.00861 mm
Estimated x pointing error is -2.664 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.61 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.861 mm (used 2.87 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.263 radians
x offset: 0.223 arcsec
y offset: -0.0172 arcsec
defocus: -0.00802 mm
Estimated x pointing error is -2.677 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.58 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.862 mm (used 2.87 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.258 radians
x offset: 0.224 arcsec
y offset: -0.0167 arcsec
defocus: -0.00861 mm
Estimated x pointing error is -2.676 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.58 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.861 mm (used 2.87 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.251 radians
x offset: 0.213 arcsec
y offset: -0.00912 arcsec
defocus: -0.00959 mm
Estimated x pointing error is -2.687 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.59 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.86 mm (used 2.87 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.245 radians
x offset: 0.219 arcsec
y offset: 0.0243 arcsec
defocus: -0.0103 mm
Estimated x pointing error is -2.681 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.62 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.86 mm (used 2.87 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.242 radians
x offset: 0.223 arcsec
y offset: 0.0654 arcsec
defocus: -0.0118 mm
Estimated x pointing error is -2.677 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.67 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.858 mm (used 2.87 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.24 radians
x offset: 0.214 arcsec
y offset: 0.0943 arcsec
defocus: -0.0127 mm
Estimated x pointing error is -2.686 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.69 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.857 mm (used 2.87 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.245 radians
x offset: 0.211 arcsec
y offset: 0.112 arcsec
defocus: -0.0133 mm
Estimated x pointing error is -2.689 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.71 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.857 mm (used 2.87 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.256 radians
x offset: 0.198 arcsec
y offset: 0.087 arcsec
defocus: -0.011 mm
Estimated x pointing error is -2.702 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.69 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.859 mm (used 2.87 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.269 radians
x offset: 0.199 arcsec
y offset: 0.0566 arcsec
defocus: -0.0105 mm
Estimated x pointing error is -2.701 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.66 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.86 mm (used 2.87 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.278 radians
x offset: 0.21 arcsec
y offset: 0.00221 arcsec
defocus: -0.00986 mm
Estimated x pointing error is -2.69 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.6 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.86 mm (used 2.87 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.283 radians
x offset: 0.239 arcsec
y offset: -0.0392 arcsec
defocus: -0.00996 mm
Estimated x pointing error is -2.661 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.56 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.86 mm (used 2.87 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.284 radians
x offset: 0.278 arcsec
y offset: -0.0715 arcsec
defocus: -0.0109 mm
Estimated x pointing error is -2.622 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.53 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.859 mm (used 2.87 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.282 radians
x offset: 0.287 arcsec
y offset: -0.0803 arcsec
defocus: -0.0118 mm
Estimated x pointing error is -2.613 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.52 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.858 mm (used 2.87 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.275 radians
x offset: 0.298 arcsec
y offset: -0.0848 arcsec
defocus: -0.0148 mm
Estimated x pointing error is -2.602 arcsec (used -2.9 arcsec)
Estimated y pointing error is 14.52 arcsec (used 14.6 arcsec)
Estimated defocus error is 2.855 mm (used 2.87 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 0.00034 piston
1 1 0.00884 tilt_x
1 -1 0.00674 tilt_y
2 2 -0.01335 astigmatism_0
2 0 0.00375 curvature
2 -2 0.05509 astigmatism45
3 3 -0.01170 trefoil_0
3 1 0.02347 coma_x
3 -1 0.00287 coma_y
3 -3 -0.03191 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 0.00038 piston
1 1 0.00781 tilt_x
1 -1 0.00579 tilt_y
2 2 -0.01488 astigmatism_0
2 0 0.00375 curvature
2 -2 0.05456 astigmatism45
3 3 -0.01017 trefoil_0
3 1 0.02093 coma_x
3 -1 0.00026 coma_y
3 -3 -0.03006 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 0.00042 piston
1 1 0.00651 tilt_x
1 -1 0.00535 tilt_y
2 2 -0.01583 astigmatism_0
2 0 0.00378 curvature
2 -2 0.05365 astigmatism45
3 3 -0.00746 trefoil_0
3 1 0.01761 coma_x
3 -1 -0.00076 coma_y
3 -3 -0.02777 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 0.00049 piston
1 1 0.00589 tilt_x
1 -1 0.00466 tilt_y
2 2 -0.01676 astigmatism_0
2 0 0.00394 curvature
2 -2 0.05207 astigmatism45
3 3 -0.00739 trefoil_0
3 1 0.01608 coma_x
3 -1 -0.00203 coma_y
3 -3 -0.02626 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 0.00052 piston
1 1 0.00592 tilt_x
1 -1 0.00535 tilt_y
2 2 -0.01704 astigmatism_0
2 0 0.00414 curvature
2 -2 0.05075 astigmatism45
3 3 -0.00726 trefoil_0
3 1 0.01623 coma_x
3 -1 0.00050 coma_y
3 -3 -0.02701 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 0.00055 piston
1 1 0.00702 tilt_x
1 -1 0.00614 tilt_y
2 2 -0.01670 astigmatism_0
2 0 0.00447 curvature
2 -2 0.05009 astigmatism45
3 3 -0.00886 trefoil_0
3 1 0.01934 coma_x
3 -1 0.00321 coma_y
3 -3 -0.02872 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 0.00056 piston
1 1 0.00873 tilt_x
1 -1 0.00740 tilt_y
2 2 -0.01590 astigmatism_0
2 0 0.00477 curvature
2 -2 0.04958 astigmatism45
3 3 -0.01183 trefoil_0
3 1 0.02386 coma_x
3 -1 0.00697 coma_y
3 -3 -0.03218 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 0.00052 piston
1 1 0.01019 tilt_x
1 -1 0.00857 tilt_y
2 2 -0.01398 astigmatism_0
2 0 0.00482 curvature
2 -2 0.04934 astigmatism45
3 3 -0.01359 trefoil_0
3 1 0.02755 coma_x
3 -1 0.01035 coma_y
3 -3 -0.03460 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 0.00053 piston
1 1 0.01102 tilt_x
1 -1 0.00899 tilt_y
2 2 -0.01374 astigmatism_0
2 0 0.00484 curvature
2 -2 0.04964 astigmatism45
3 3 -0.01616 trefoil_0
3 1 0.02965 coma_x
3 -1 0.01151 coma_y
3 -3 -0.03496 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 0.00051 piston
1 1 0.01092 tilt_x
1 -1 0.00893 tilt_y
2 2 -0.01340 astigmatism_0
2 0 0.00474 curvature
2 -2 0.05000 astigmatism45
3 3 -0.01597 trefoil_0
3 1 0.02930 coma_x
3 -1 0.01113 coma_y
3 -3 -0.03421 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 0.00052 piston
1 1 0.01069 tilt_x
1 -1 0.00811 tilt_y
2 2 -0.01388 astigmatism_0
2 0 0.00466 curvature
2 -2 0.05067 astigmatism45
3 3 -0.01469 trefoil_0
3 1 0.02879 coma_x
3 -1 0.00839 coma_y
3 -3 -0.03160 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 0.00051 piston
1 1 0.00993 tilt_x
1 -1 0.00738 tilt_y
2 2 -0.01459 astigmatism_0
2 0 0.00445 curvature
2 -2 0.05085 astigmatism45
3 3 -0.01325 trefoil_0
3 1 0.02702 coma_x
3 -1 0.00609 coma_y
3 -3 -0.02842 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 0.00049 piston
1 1 0.00962 tilt_x
1 -1 0.00660 tilt_y
2 2 -0.01553 astigmatism_0
2 0 0.00436 curvature
2 -2 0.05152 astigmatism45
3 3 -0.01236 trefoil_0
3 1 0.02659 coma_x
3 -1 0.00366 coma_y
3 -3 -0.02578 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 0.00046 piston
1 1 0.00922 tilt_x
1 -1 0.00612 tilt_y
2 2 -0.01524 astigmatism_0
2 0 0.00424 curvature
2 -2 0.05112 astigmatism45
3 3 -0.01181 trefoil_0
3 1 0.02557 coma_x
3 -1 0.00253 coma_y
3 -3 -0.02445 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 0.00044 piston
1 1 0.00848 tilt_x
1 -1 0.00542 tilt_y
2 2 -0.01491 astigmatism_0
2 0 0.00409 curvature
2 -2 0.05097 astigmatism45
3 3 -0.01280 trefoil_0
3 1 0.02331 coma_x
3 -1 0.00073 coma_y
3 -3 -0.02496 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 0.00042 piston
1 1 0.00827 tilt_x
1 -1 0.00522 tilt_y
2 2 -0.01351 astigmatism_0
2 0 0.00400 curvature
2 -2 0.04917 astigmatism45
3 3 -0.01441 trefoil_0
3 1 0.02229 coma_x
3 -1 0.00085 coma_y
3 -3 -0.02684 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: 32.1 20.1 20.3 26.2 23.9 25.2 43.5 29.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.2 20.4 20.1 26.3 23.7 23.7 39.3 28.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.38 2.72 3.85 5.13 6.68 8.88 12.2 8.07
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 20.5 22.1 24.6 23.8 25.3 43.3 29.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 20.7 22 24.7 23.6 23.7 39.4 28.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.22 2.46 3.57 4.9 6.54 8.75 11.9 7.87
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.4 20.8 22.2 23.4 23.6 25.4 42.9 29.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.4 21 22.1 23.5 23.4 23.7 39.4 28.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.04 2.14 3.24 4.63 6.34 8.53 11.5 7.59
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 21 22.3 22.9 23.8 25.6 42.6 29.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 21.1 22.3 22.9 23.6 23.8 39.4 28.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.959 2 3.07 4.46 6.16 8.3 11.1 7.36
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 20.9 22.3 22.4 24.3 25.8 42.5 29.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 21.1 22.2 22.4 24.1 24.1 39.5 28.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.959 1.99 3.04 4.4 6.06 8.18 11 7.28
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.1 20.9 22.2 22.8 24.7 26 42.6 30.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.2 21.1 22.1 22.7 24.6 24.3 39.5 28.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.15 2.3 3.34 4.59 6.11 8.19 11.2 7.39
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.7 20.7 22.1 23.6 25 26.3 42.9 30.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.8 21.1 21.9 23.5 24.9 24.7 39.5 29
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.44 2.81 3.88 4.97 6.29 8.34 11.6 7.7
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.1 20.7 21.6 24.9 24.6 26.6 43.7 30.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.2 21.1 21.5 24.6 24.7 24.9 39.9 29.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.7 3.26 4.37 5.35 6.44 8.42 12 7.95
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.2 21.2 21.2 26.1 24.4 26.7 44.1 30.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.3 21.6 21.2 25.8 24.6 25.2 39.9 29.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.83 3.5 4.65 5.57 6.58 8.53 12.2 8.14
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.7 21.8 22.2 27.3 24 26.8 44.8 31.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.7 22.2 22.2 27.1 24.2 25.4 40.5 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.81 3.46 4.6 5.53 6.56 8.52 12.2 8.1
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.1 22 23.2 28.4 24.1 26.7 44.8 31.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.2 22.5 23.1 28.3 24.2 25.4 40.5 29.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.73 3.32 4.45 5.41 6.5 8.44 11.9 7.96
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34 21.9 23.8 30.8 24.1 26.5 44.5 31.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34 22.3 23.5 30.7 24.2 25.2 40.4 30.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.6 3.09 4.19 5.2 6.36 8.29 11.6 7.73
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.5 21.4 24.2 38.5 24.2 25.9 44 32.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.5 21.9 23.8 38.4 24.2 24.6 40.2 31.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.55 3.01 4.11 5.15 6.35 8.27 11.5 7.67
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.1 21.1 24.2 29.8 24.1 25.5 43.4 31
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.1 21.5 23.8 30 24 24.1 39.8 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.49 2.9 3.97 5.02 6.24 8.14 11.2 7.51
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 20.6 21.8 26.8 23.9 25.3 42.9 30.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 20.9 21.4 26.9 23.8 23.8 39.5 28.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.36 2.66 3.71 4.83 6.17 8.14 11.1 7.43
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.6 20.5 22.5 25.1 24 25.5 42.4 29.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.6 20.8 22.4 25.1 24 23.9 39 28.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.3 2.55 3.56 4.66 6.01 7.99 11 7.28
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 28.3 19.1 18.8 21.1 22.3 24.2 42 28.3
Mean deviation is 0.50975511383088445 microns
Taper = 10 dB, Ruze illumination-weighted rms = 27.0 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 = 2772.46 (estimate), 3426.12 (perfect)
Strehl = 0.654828
Strehl ratio estimate = 0.6548
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 = 23.3 micron
Centre pixel: 64.0 64.0 Value = 2330.52 (estimate), 3426.12 (perfect)
Strehl = 0.462701
Strehl ratio estimate = 0.4627
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 9.7 20.5 24.7 33.5
2 1 2 15.0 25.6 26.6 39.8
3 1 3 24.0 45.0 -19.1 54.4
4 1 4 2.9 -27.0 -5.0 27.6
5 1 5 21.1 36.6 54.0 68.6
6 1 6 20.3 14.2 14.6 28.7
7 1 7 21.6 15.4 48.2 55.0
8 1 8 16.8 44.1 62.1 78.0
9 1 9 -62.8 25.4 -14.0 69.2
10 1 10 -4.8 -6.5 55.3 55.9
11 1 11 42.2 26.1 40.7 64.1
12 1 12 22.7 34.7 27.2 49.6
13 2 1 15.6 -7.1 -5.1 17.9
14 2 2 10.3 21.0 5.4 24.0
15 2 3 42.5 -16.6 -18.1 49.1
16 2 4 38.9 -10.5 -4.0 40.5
17 2 5 22.3 -3.9 2.0 22.8
18 2 6 11.2 29.5 28.6 42.6
19 2 7 -7.8 11.5 -19.4 23.9
20 2 8 10.4 -9.2 7.1 15.6
21 2 9 30.2 -1.1 -21.3 37.0
22 2 10 -4.8 2.2 22.9 23.5
23 2 11 21.2 11.6 11.9 26.9
24 2 12 18.1 14.7 15.3 27.9
25 2 13 26.6 -16.0 -8.7 32.2
26 2 14 14.3 13.1 6.0 20.3
27 2 15 17.6 7.8 12.4 22.9
28 2 16 16.4 12.5 -4.5 21.1
29 2 17 25.8 -10.1 5.7 28.3
30 2 18 7.4 5.1 -8.5 12.4
31 2 19 -10.8 -32.5 -11.2 36.1
32 2 20 15.3 -22.8 7.8 28.6
33 2 21 32.7 -5.3 -1.6 33.2
34 2 22 58.8 -7.2 -13.3 60.8
35 2 23 38.3 -16.6 5.3 42.1
36 2 24 15.0 -3.9 -3.5 15.9
37 3 1 -12.8 -10.7 -9.0 19.0
38 3 2 -4.1 -12.5 -1.7 13.3
39 3 3 -18.9 -12.8 -4.8 23.3
40 3 4 -3.7 -17.5 1.8 18.0
41 3 5 1.1 -5.1 8.7 10.1
42 3 6 -20.1 -8.8 -3.7 22.2
43 3 7 -27.9 -9.5 -11.5 31.6
44 3 8 -10.8 -14.5 -10.8 21.1
45 3 9 8.7 -17.0 -3.9 19.5
46 3 10 -16.8 -6.0 -2.8 18.1
47 3 11 18.1 -3.4 -3.2 18.7
48 3 12 -10.9 12.0 -10.2 19.1
49 3 13 -36.6 7.8 -12.6 39.5
50 3 14 -21.5 -18.6 -27.5 39.5
51 3 15 -12.1 -10.2 17.3 23.4
52 3 16 3.2 -23.6 -1.3 23.8
53 3 17 -3.4 -11.2 25.9 28.4
54 3 18 21.9 3.3 -0.6 22.1
55 3 19 13.8 5.6 -22.7 27.2
56 3 20 5.8 -9.9 -15.0 18.9
57 3 21 -2.4 -13.4 14.5 19.9
58 3 22 -29.5 -9.1 8.2 31.9
59 3 23 0.9 -3.6 3.3 5.0
60 3 24 -44.7 -6.4 -5.3 45.4
61 3 25 -24.1 -12.5 -6.5 28.0
62 3 26 -11.3 -1.8 -7.0 13.4
63 3 27 -6.7 -0.9 10.8 12.7
64 3 28 7.5 -2.8 16.9 18.7
65 3 29 14.5 2.7 0.1 14.8
66 3 30 5.2 -5.7 -20.6 22.0
67 3 31 15.0 8.0 3.2 17.3
68 3 32 11.0 5.8 12.9 17.9
69 3 33 16.3 0.6 15.4 22.4
70 3 34 -1.4 -14.9 9.2 17.6
71 3 35 16.1 -8.7 -30.3 35.4
72 3 36 -13.6 -9.0 -25.5 30.3
73 3 37 -6.4 -10.5 -9.4 15.5
74 3 38 8.5 23.1 -1.0 24.6
75 3 39 12.2 23.2 -0.0 26.2
76 3 40 23.6 -14.1 3.2 27.7
77 3 41 9.1 -7.2 8.7 14.5
78 3 42 -12.2 4.3 -3.1 13.3
79 3 43 -2.4 6.7 3.0 7.7
80 3 44 15.9 -7.8 -3.1 17.9
81 3 45 24.2 -13.5 3.6 27.9
82 3 46 6.9 -5.7 -4.2 9.9
83 3 47 13.2 -5.2 -5.9 15.3
84 3 48 -16.9 -11.0 -13.8 24.4
85 4 1 24.5 -21.0 -13.1 34.8
86 4 2 8.9 -20.6 21.8 31.3
87 4 3 8.2 -18.0 -43.5 47.8
88 4 4 1.4 -16.0 -30.7 34.6
89 4 5 3.1 -6.0 -7.3 9.9
90 4 6 -8.7 -7.6 10.9 15.9
91 4 7 0.4 -8.9 -2.7 9.3
92 4 8 -11.4 -15.5 -7.8 20.8
93 4 9 -9.4 -19.7 -11.2 24.5
94 4 10 -12.2 1.6 -16.4 20.5
95 4 11 -48.1 13.0 3.3 49.9
96 4 12 0.9 12.2 -34.6 36.7
97 4 13 -23.7 -18.4 -2.7 30.1
98 4 14 -58.0 1.0 -18.9 61.0
99 4 15 -2.3 -1.3 3.7 4.5
100 4 16 -16.3 -5.1 -2.5 17.3
101 4 17 -6.8 6.1 4.6 10.2
102 4 18 0.6 -8.5 10.5 13.5
103 4 19 -9.9 -7.5 -13.4 18.3
104 4 20 -12.3 -13.8 -9.0 20.6
105 4 21 -18.5 -20.7 -3.1 27.9
106 4 22 -10.0 -5.7 -2.7 11.8
107 4 23 -24.6 -18.8 -11.1 32.9
108 4 24 15.4 -15.5 19.8 29.5
109 4 25 17.5 -16.1 57.1 61.8
110 4 26 -21.0 -4.5 24.5 32.6
111 4 27 -21.3 -10.7 0.8 23.8
112 4 28 -15.1 -12.3 4.2 20.0
113 4 29 -0.2 -7.7 -35.4 36.2
114 4 30 -13.8 2.4 5.8 15.2
115 4 31 -5.8 -3.9 31.4 32.1
116 4 32 -4.6 9.1 10.7 14.8
117 4 33 4.7 1.9 14.1 15.0
118 4 34 12.1 9.2 15.4 21.7
119 4 35 -77.2 11.6 -29.4 83.5
120 4 36 -43.9 -8.2 -23.5 50.4
121 4 37 19.2 1.8 6.2 20.2
122 4 38 -2.3 26.0 10.5 28.2
123 4 39 -8.1 -1.4 -4.5 9.4
124 4 40 -8.7 -15.6 6.8 19.1
125 4 41 -12.4 -6.4 16.3 21.5
126 4 42 2.5 4.0 21.3 21.8
127 4 43 3.1 5.0 34.6 35.1
128 4 44 -11.3 1.6 17.6 21.0
129 4 45 -5.4 -1.9 5.2 7.8
130 4 46 11.7 -9.0 -11.1 18.5
131 4 47 2.0 -15.8 -30.2 34.1
132 4 48 11.7 -23.9 -9.2 28.2
133 5 1 -32.8 1.3 44.4 55.2
134 5 2 -16.3 39.4 21.9 47.9
135 5 3 -41.9 9.8 0.1 43.1
136 5 4 -13.6 -23.2 42.1 49.9
137 5 5 -21.6 -19.0 -8.2 29.9
138 5 6 3.4 -7.1 -39.8 40.6
139 5 7 31.1 -11.3 -12.7 35.4
140 5 8 3.2 0.0 3.8 4.9
141 5 9 -20.1 -11.4 -1.0 23.1
142 5 10 -15.8 13.4 -20.2 28.9
143 5 11 6.5 -2.4 -0.9 7.0
144 5 12 -21.5 -20.0 11.9 31.7
145 5 13 -14.8 -10.3 4.4 18.5
146 5 14 -19.0 14.3 -18.0 29.8
147 5 15 -13.2 22.3 -14.8 29.8
148 5 16 -2.3 -1.2 3.4 4.3
149 5 17 2.0 -16.3 -11.8 20.2
150 5 18 1.1 -14.2 201.4 201.9
151 5 19 -12.4 -11.0 12.1 20.5
152 5 20 -3.5 10.3 3.9 11.5
153 5 21 4.9 -1.1 -1.9 5.4
154 5 22 3.5 32.7 -12.7 35.2
155 5 23 -6.2 8.7 -3.4 11.2
156 5 24 -10.6 -7.1 7.3 14.7
157 5 25 -20.4 -11.9 -4.7 24.0
158 5 26 -15.4 -3.4 -12.7 20.3
159 5 27 8.9 25.7 -10.8 29.3
160 5 28 14.5 -13.6 -17.2 26.3
161 5 29 10.8 -8.6 -14.2 19.8
162 5 30 12.4 -0.7 -7.0 14.2
163 5 31 20.4 1.1 -8.8 22.2
164 5 32 18.2 2.0 -0.6 18.3
165 5 33 16.7 -22.5 8.5 29.3
166 5 34 3.4 -3.4 -6.0 7.7
167 5 35 -22.0 3.1 -27.1 35.1
168 5 36 -8.3 -3.6 -27.1 28.6
169 5 37 4.8 0.9 8.4 9.7
170 5 38 6.5 6.1 -33.7 34.8
171 5 39 -8.9 14.3 -51.5 54.2
172 5 40 -5.3 -2.9 -5.6 8.3
173 5 41 15.7 5.4 20.9 26.7
174 5 42 33.3 11.4 8.0 36.1
175 5 43 35.0 13.9 -22.0 43.6
176 5 44 18.1 -4.9 -15.3 24.2
177 5 45 4.4 -6.5 -2.2 8.1
178 5 46 -14.8 19.4 32.6 40.7
179 5 47 -18.0 22.5 25.6 38.6
180 5 48 -18.8 -0.8 51.2 54.5
181 6 1 22.8 -14.2 -16.0 31.3
182 6 2 28.5 -2.9 -33.0 43.7
183 6 3 71.3 -4.3 12.4 72.5
184 6 4 32.1 7.2 66.1 73.8
185 6 5 1.2 9.6 14.1 17.1
186 6 6 -9.3 -21.8 24.6 34.2
187 6 7 -28.4 -17.6 -5.2 33.8
188 6 8 -12.3 -0.3 -40.8 42.6
189 6 9 18.7 -5.0 47.0 50.8
190 6 10 32.3 -14.6 20.7 41.0
191 6 11 5.0 -2.4 -3.8 6.7
192 6 12 1.5 -9.4 2.5 9.8
193 6 13 -1.3 0.2 12.1 12.1
194 6 14 -10.6 -10.9 2.1 15.3
195 6 15 36.1 -6.4 21.9 42.7
196 6 16 15.7 -9.7 31.8 36.8
197 6 17 -2.5 -13.0 9.0 16.1
198 6 18 -13.1 -3.4 49.1 50.9
199 6 19 4.1 -1.0 46.5 46.7
200 6 20 24.3 13.4 33.3 43.4
201 6 21 -6.5 18.9 30.4 36.4
202 6 22 36.6 6.6 73.3 82.2
203 6 23 -1.0 13.8 37.9 40.4
204 6 24 -10.4 -0.2 47.3 48.5
205 6 25 -13.9 0.5 30.0 33.1
206 6 26 2.4 -3.8 18.3 18.8
207 6 27 11.6 -8.8 28.5 32.0
208 6 28 56.1 7.0 158.7 168.5
209 6 29 -22.1 -9.9 -22.7 33.2
210 6 30 -20.1 -33.7 24.0 46.0
211 6 31 -7.5 -36.7 -28.2 46.9
212 6 32 -16.4 -34.0 -49.7 62.4
213 6 33 -4.7 -24.3 63.9 68.5
214 6 34 30.5 0.9 34.6 46.1
215 6 35 -25.7 -3.0 8.9 27.3
216 6 36 -38.0 22.9 5.9 44.8
217 6 37 -25.2 18.4 17.1 35.6
218 6 38 -9.1 -17.9 -9.2 22.1
219 6 39 25.5 -14.4 38.2 48.1
220 6 40 -13.7 9.7 11.0 20.1
221 6 41 2.2 10.9 2.0 11.3
222 6 42 -10.8 -13.9 34.9 39.0
223 6 43 -8.2 -11.5 69.4 70.8
224 6 44 1.5 36.4 46.0 58.7
225 6 45 65.7 20.9 161.3 175.4
226 6 46 54.8 5.8 48.6 73.5
227 6 47 16.9 10.4 0.5 19.8
228 6 48 7.6 -18.9 -13.2 24.3
229 7 1 -47.1 -23.3 -50.9 73.2
230 7 2 -30.8 -35.1 -63.3 78.7
231 7 3 0.4 -48.1 -56.8 74.4
232 7 4 4.9 52.3 -43.0 67.9
233 7 5 17.1 -15.6 25.3 34.3
234 7 6 19.9 33.3 26.9 47.2
235 7 7 -23.0 26.3 17.8 39.2
236 7 8 -15.2 5.5 -26.0 30.6
237 7 9 19.2 -9.6 53.9 58.1
238 7 10 22.9 14.2 16.3 31.5
239 7 11 11.4 9.5 -17.3 22.8
240 7 12 -7.0 11.5 2.0 13.6
241 7 13 15.2 11.1 30.6 35.9
242 7 14 9.4 11.2 4.5 15.3
243 7 15 12.9 9.7 3.0 16.4
244 7 16 45.3 36.8 16.4 60.6
245 7 17 28.0 -27.1 44.0 58.8
246 7 18 25.9 39.9 23.9 53.2
247 7 19 47.1 41.9 47.8 79.1
248 7 20 64.8 20.2 58.9 89.9
249 7 21 49.8 80.2 114.1 148.1
250 7 22 52.1 88.5 85.9 133.9
251 7 23 17.5 47.8 37.7 63.3
252 7 24 1.4 25.7 75.1 79.4
253 7 25 1.5 24.9 45.5 51.9
254 7 26 13.1 19.3 0.9 23.4
255 7 27 -0.6 9.3 24.6 26.3
256 7 28 -6.2 90.8 270.9 285.8
257 7 29 6.7 -36.7 -76.1 84.8
258 7 30 -10.8 -51.7 -85.8 100.8
259 7 31 -26.8 -55.3 -83.6 103.8
260 7 32 -32.9 -38.2 -78.8 93.6
261 7 33 13.7 -280.5 61.2 287.4
262 7 34 6.3 3.2 -53.5 54.0
263 7 35 -2.2 13.3 -47.8 49.7
264 7 36 2.0 11.6 -31.1 33.3
265 7 37 25.2 12.8 -3.1 28.4
266 7 38 14.6 13.4 -42.8 47.1
267 7 39 33.3 8.7 19.1 39.4
268 7 40 65.6 121.6 6.6 138.3
269 7 41 48.4 -21.5 50.3 73.0
270 7 42 36.7 34.7 46.5 68.6
271 7 43 6.2 23.9 -36.2 43.8
272 7 44 22.7 8.1 -0.7 24.1
273 7 45 6.9 -30.7 70.2 77.0
274 7 46 20.8 6.2 5.8 22.4
275 7 47 10.1 8.1 -54.8 56.3
276 7 48 -9.7 116.1 3.4 116.5
Creating sector-motor-move file
sector motor steps
1 1 -13
1 2 16
1 3 1
1 4 20
1 5 2
1 6 9
1 7 -17
1 8 -14
1 9 0
1 10 3
1 11 -1
1 12 21
1 13 -19
1 14 -10
1 15 -9
1 16 -10
1 17 0
1 18 8
1 19 -15
1 20 -7
1 21 -14
1 22 -4
1 23 -4
1 24 7
1 25 12
1 26 -7
1 27 -4
1 28 -9
1 29 -4
1 30 0
1 31 0
1 32 2
1 33 -12
1 34 -13
1 35 -5
1 36 2
1 37 6
1 38 12
1 39 -4
1 40 6
1 41 -6
1 42 2
1 43 13
1 44 0
1 45 -10
1 46 -4
1 47 -6
1 48 7
1 49 -1
1 50 -3
1 51 -5
1 52 1
1 53 6
1 54 3
1 55 0
1 56 -3
1 57 -1
1 58 6
1 59 2
1 60 7
1 61 -2
1 62 -3
1 63 -3
1 64 -5
1 65 4
1 66 -1
1 67 0
1 68 -5
1 69 -1
2 1 -7
2 2 1
2 3 -4
2 4 -12
2 5 0
2 6 -3
2 7 5
2 8 8
2 9 -7
2 10 -1
2 11 -5
2 12 -8
2 13 8
2 14 10
2 15 6
2 16 7
2 17 -6
2 18 -2
2 19 7
2 20 -4
2 21 5
2 22 4
2 23 2
2 24 0
2 25 1
2 26 0
2 27 0
2 28 -2
2 29 -4
2 30 -3
2 31 -3
2 32 -3
2 33 9
2 34 0
2 35 -2
2 36 0
2 37 -12
2 38 -2
2 39 1
2 40 3
2 41 -2
2 42 -2
2 43 -2
2 44 -5
2 45 -6
2 46 -2
2 47 -1
2 48 0
2 49 -3
2 50 -2
2 51 -8
2 52 -1
2 53 -3
2 54 11
2 55 -1
2 56 -2
2 57 -6
2 58 7
2 59 4
2 60 8
2 61 2
2 62 -1
2 63 0
2 64 -1
2 65 13
2 66 -5
2 67 -3
2 68 -4
2 69 -3
3 1 0
3 2 3
3 3 -2
3 4 0
3 5 -2
3 6 0
3 7 -5
3 8 2
3 9 3
3 10 -1
3 11 0
3 12 1
3 13 4
3 14 4
3 15 7
3 16 6
3 17 -4
3 18 9
3 19 16
3 20 -2
3 21 5
3 22 14
3 23 -1
3 24 5
3 25 3
3 26 -6
3 27 -6
3 28 -10
3 29 3
3 30 0
3 31 0
3 32 0
3 33 1
3 34 0
3 35 3
3 36 -14
3 37 -6
3 38 4
3 39 -4
3 40 -5
3 41 0
3 42 -3
3 43 0
3 44 -3
3 45 -6
3 46 -3
3 47 -6
3 48 -2
3 49 0
3 50 -1
3 51 5
3 52 8
3 53 9
3 54 3
3 55 0
3 56 -1
3 57 -5
3 58 13
3 59 7
3 60 -5
3 61 -1
3 62 -5
3 63 2
3 64 3
3 65 6
3 66 0
3 67 -3
3 68 3
3 69 -3
4 1 5
4 2 11
4 3 13
4 4 9
4 5 -2
4 6 4
4 7 0
4 8 2
4 9 3
4 10 6
4 11 -1
4 12 11
4 13 1
4 14 3
4 15 2
4 16 0
4 17 -3
4 18 -3
4 19 9
4 20 3
4 21 4
4 22 3
4 23 0
4 24 0
4 25 1
4 26 0
4 27 0
4 28 0
4 29 -1
4 30 -5
4 31 -4
4 32 6
4 33 -4
4 34 1
4 35 0
4 36 0
4 37 -5
4 38 4
4 39 -5
4 40 -5
4 41 0
4 42 -17
4 43 1
4 44 -3
4 45 -4
4 46 0
4 47 -5
4 48 -7
4 49 5
4 50 -3
4 51 -3
4 52 2
4 53 -2
4 54 3
4 55 -8
4 56 -5
4 57 -6
4 58 -8
4 59 0
4 60 -1
4 61 -3
4 62 2
4 63 -11
4 64 0
4 65 -2
4 66 -5
4 67 0
4 68 -7
4 69 0
5 1 18
5 2 6
5 3 19
5 4 10
5 5 4
5 6 7
5 7 14
5 8 12
5 9 14
5 10 14
5 11 0
5 12 1
5 13 7
5 14 12
5 15 7
5 16 15
5 17 -1
5 18 -4
5 19 13
5 20 -8
5 21 8
5 22 2
5 23 -3
5 24 0
5 25 1
5 26 3
5 27 -1
5 28 -2
5 29 -4
5 30 -3
5 31 3
5 32 -3
5 33 -3
5 34 -4
5 35 -2
5 36 -3
5 37 61
5 38 -4
5 39 0
5 40 3
5 41 -2
5 42 0
5 43 -3
5 44 -4
5 45 0
5 46 1
5 47 1
5 48 -2
5 49 -6
5 50 1
5 51 4
5 52 7
5 53 0
5 54 -1
5 55 0
5 56 1
5 57 6
5 58 11
5 59 6
5 60 16
5 61 7
5 62 -3
5 63 -1
5 64 3
5 65 9
5 66 -6
5 67 -4
5 68 -3
5 69 1
6 1 23
6 2 7
6 3 0
6 4 14
6 5 0
6 6 -3
6 7 11
6 8 14
6 9 5
6 10 11
6 11 4
6 12 0
6 13 26
6 14 27
6 15 15
6 16 22
6 17 2
6 18 11
6 19 35
6 20 24
6 21 15
6 22 9
6 23 5
6 24 -1
6 25 2
6 26 -2
6 27 -3
6 28 6
6 29 -4
6 30 4
6 31 -1
6 32 2
6 33 -1
6 34 -3
6 35 -5
6 36 -7
6 37 -3
6 38 10
6 39 1
6 40 0
6 41 -1
6 42 -3
6 43 0
6 44 0
6 45 1
6 46 0
6 47 -6
6 48 -5
6 49 1
6 50 -1
6 51 0
6 52 4
6 53 4
6 54 5
6 55 2
6 56 -2
6 57 -9
6 58 4
6 59 6
6 60 4
6 61 4
6 62 -4
6 63 0
6 64 -4
6 65 6
6 66 3
6 67 -1
6 68 -1
6 69 -13
7 1 83
7 2 27
7 3 -1
7 4 48
7 5 2
7 6 17
7 7 7
7 8 2
7 9 0
7 10 8
7 11 -2
7 12 3
7 13 0
7 14 5
7 15 4
7 16 5
7 17 -1
7 18 0
7 19 13
7 20 7
7 21 0
7 22 9
7 23 0
7 24 -4
7 25 -5
7 26 -4
7 27 4
7 28 1
7 29 -3
7 30 -4
7 31 -3
7 32 7
7 33 2
7 34 0
7 35 -3
7 36 -6
7 37 -3
7 38 -1
7 39 -4
7 40 7
7 41 -1
7 42 -6
7 43 -1
7 44 -3
7 45 -6
7 46 17
7 47 -4
7 48 5
7 49 3
7 50 0
7 51 -2
7 52 1
7 53 4
7 54 4
7 55 -2
7 56 0
7 57 -3
7 58 4
7 59 6
7 60 14
7 61 -1
7 62 -3
7 63 -7
7 64 2
7 65 8
7 66 -2
7 67 5
7 68 0
7 69 2
8 1 -24
8 2 -11
8 3 -10
8 4 -15
8 5 -10
8 6 -5
8 7 -25
8 8 -16
8 9 -8
8 10 -8
8 11 -11
8 12 -2
8 13 -26
8 14 -15
8 15 -3
8 16 7
8 17 -10
8 18 -6
8 19 -23
8 20 -11
8 21 2
8 22 -6
8 23 -3
8 24 -6
8 25 0
8 26 0
8 27 5
8 28 3
8 29 2
8 30 -1
8 31 -2
8 32 0
8 33 6
8 34 9
8 35 -1
8 36 -1
8 37 -2
8 38 0
8 39 3
8 40 1
8 41 0
8 42 -4
8 43 -4
8 44 -2
8 45 3
8 46 -10
8 47 -2
8 48 0
8 49 0
8 50 2
8 51 4
8 52 -1
8 53 3
8 54 5
8 55 -6
8 56 -1
8 57 1
8 58 13
8 59 5
8 60 19
8 61 0
8 62 0
8 63 4
8 64 -3
8 65 5
8 66 3
8 67 3
8 68 1
8 69 3
9 1 -9
9 2 3
9 3 0
9 4 1
9 5 7
9 6 -11
9 7 -14
9 8 4
9 9 0
9 10 2
9 11 0
9 12 -7
9 13 -16
9 14 0
9 15 1
9 16 10
9 17 0
9 18 9
9 19 18
9 20 -86
9 21 4
9 22 19
9 23 -7
9 24 -1
9 25 -8
9 26 -1
9 27 -2
9 28 -7
9 29 -2
9 30 -13
9 31 -8
9 32 0
9 33 -6
9 34 -9
9 35 3
9 36 -23
9 37 -1
9 38 -1
9 39 1
9 40 4
9 41 2
9 42 3
9 43 2
9 44 -6
9 45 5
9 46 4
9 47 0
9 48 1
9 49 -9
9 50 -2
9 51 4
9 52 -2
9 53 1
9 54 2
9 55 2
9 56 -4
9 57 0
9 58 7
9 59 -19
9 60 -4
9 61 4
9 62 0
9 63 5
9 64 -9
9 65 7
9 66 1
9 67 -7
9 68 -2
9 69 -4
10 1 2
10 2 37
10 3 20
10 4 3
10 5 2
10 6 -4
10 7 5
10 8 2
10 9 10
10 10 11
10 11 -4
10 12 7
10 13 -13
10 14 4
10 15 4
10 16 -2
10 17 -5
10 18 -2
10 19 0
10 20 3
10 21 7
10 22 5
10 23 5
10 24 -7
10 25 -1
10 26 0
10 27 -1
10 28 2
10 29 -4
10 30 -2
10 31 -15
10 32 4
10 33 -2
10 34 -1
10 35 0
10 36 -2
10 37 -10
10 38 1
10 39 1
10 40 3
10 41 7
10 42 0
10 43 2
10 44 0
10 45 1
10 46 1
10 47 0
10 48 5
10 49 0
10 50 7
10 51 3
10 52 2
10 53 -6
10 54 4
10 55 0
10 56 7
10 57 2
10 58 -2
10 59 -1
10 60 16
10 61 -2
10 62 -3
10 63 -1
10 64 -1
10 65 -3
10 66 -3
10 67 0
10 68 -4
10 69 7
11 1 0
11 2 2
11 3 6
11 4 14
11 5 11
11 6 0
11 7 -11
11 8 7
11 9 1
11 10 21
11 11 -3
11 12 -2
11 13 14
11 14 10
11 15 11
11 16 10
11 17 -4
11 18 -3
11 19 15
11 20 -6
11 21 14
11 22 0
11 23 3
11 24 0
11 25 -4
11 26 -1
11 27 5
11 28 5
11 29 0
11 30 -3
11 31 -6
11 32 4
11 33 10
11 34 10
11 35 1
11 36 0
11 37 2
11 38 3
11 39 10
11 40 6
11 41 1
11 42 0
11 43 6
11 44 1
11 45 4
11 46 5
11 47 -1
11 48 -3
11 49 0
11 50 2
11 51 0
11 52 -4
11 53 -2
11 54 18
11 55 0
11 56 1
11 57 -3
11 58 7
11 59 12
11 60 12
11 61 2
11 62 -2
11 63 2
11 64 -5
11 65 10
11 66 0
11 67 0
11 68 -2
11 69 4
12 1 1
12 2 35
12 3 -2
12 4 -4
12 5 -5
12 6 2
12 7 -16
12 8 2
12 9 3
12 10 0
12 11 3
12 12 5
12 13 1
12 14 1
12 15 6
12 16 14
12 17 1
12 18 16
12 19 21
12 20 -9
12 21 2
12 22 49
12 23 6
12 24 20
12 25 15
12 26 0
12 27 -5
12 28 -2
12 29 -7
12 30 3
12 31 7
12 32 6
12 33 -5
12 34 -9
12 35 -4
12 36 0
12 37 9
12 38 5
12 39 -4
12 40 -3
12 41 -2
12 42 3
12 43 0
12 44 -1
12 45 1
12 46 1
12 47 0
12 48 -1
12 49 -1
12 50 -1
12 51 4
12 52 -1
12 53 -1
12 54 4
12 55 -1
12 56 -1
12 57 2
12 58 10
12 59 6
12 60 8
12 61 1
12 62 -4
12 63 7
12 64 -2
12 65 11
12 66 1
12 67 -4
12 68 -3
12 69 -5
Adjuster movements: rms = 29.7 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041209-131531
Creating HTML output file of plots
Plotting summary text