![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20041111-171908.fits
Reduced on 20041115-144242 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 | rxh3-20041111-171908.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -3.84 |
| data.pointing_offset_y | 19.69 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.86 |
| 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 | 0.033860000000000001 |
| 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: 20041115-144242
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041111-171908.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 = 2428.8 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.860 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 -3.33008 3.34961 -0.00539
loimag -3.50342 3.40332 -0.01053
hireal -5.00000 4.99756 -0.01542
hiimag -5.00000 4.99756 -0.00105
xpos -2428.76337 2420.27086 -9.11280
ypos -2402.49179 2402.85324 -0.00119
plock160 0.28320 1.75293 1.07069
lorefpwr 0.22949 1.64551 1.18612
losigpwr -4.52881 0.18555 -4.35520
hirefpwr 0.29297 1.67236 1.23122
hisigpwr -4.44092 4.99756 -0.84052
encltemp 31.56738 32.81250 32.10714
flags 0.00000 256.00000 2.76738
phi-lock -1.71143 -0.30029 -1.04613
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.98981 1473.10425
zeropt -0.00732 -0.00244 -0.00490
!!!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 = 40.00598 arcsec
Mean row spacing = 40.00599 arcsec (alternate estimator)
Mean tracking incline = -0.21568 arcsec
Mean pointing range = 0.66965 arcsec
Mean pointing rms = 0.13719 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-3.84, 19.69 ) 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: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22680 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 = 2428.76 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 = 3.19972 at (0.0, 0.0) arcsec
Real: mean = 0.00147248 sum of squares = 834.472
Imag: mean = -0.0035038 sum of squares = 1047.07
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 = 3.23171 at (0.0, 0.0) arcsec
Real: mean = 0.00231393 sum of squares = 881.848
Imag: mean = -0.00366522 sum of squares = 1003.15
Gridding frequency index 2
lambda = 0.00373145 metres, scale = 0.00129926 radians per metre
Gridding real part of frequency 2...
Gridding imag part of frequency 2...
Pattern is holo(res.pattern2)
Weights in holo(obs.real,wt2) and holo(obs.imag,wt2)
Maximum amplitude = 3.29135 at (0.0, 0.0) arcsec
Real: mean = 0.0030609 sum of squares = 977.302
Imag: mean = -0.00342261 sum of squares = 911.794
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 = 3.33465 at (0.0, 0.0) arcsec
Real: mean = 0.00357888 sum of squares = 1050.86
Imag: mean = -0.00290875 sum of squares = 843.003
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 = 3.38263 at (0.0, 0.0) arcsec
Real: mean = 0.00381856 sum of squares = 1048.55
Imag: mean = -0.00223693 sum of squares = 850.005
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 = 3.38816 at (0.0, 0.0) arcsec
Real: mean = 0.0037932 sum of squares = 972.441
Imag: mean = -0.00157233 sum of squares = 930.093
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 = 3.38265 at (0.0, 0.0) arcsec
Real: mean = 0.00348418 sum of squares = 882.443
Imag: mean = -0.0010131 sum of squares = 1023.87
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 = 3.34775 at (0.0, 0.0) arcsec
Real: mean = 0.00297799 sum of squares = 845.859
Imag: mean = -0.000563786 sum of squares = 1062.93
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 = 3.31304 at (0.0, 0.0) arcsec
Real: mean = 0.0023164 sum of squares = 888.554
Imag: mean = -0.000456695 sum of squares = 1022.23
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 = 3.27432 at (0.0, 0.0) arcsec
Real: mean = 0.00172808 sum of squares = 979.555
Imag: mean = -0.000671758 sum of squares = 934.023
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 = 3.25706 at (0.0, -40.004977724682043) arcsec
Real: mean = 0.00128429 sum of squares = 1053.48
Imag: mean = -0.001046 sum of squares = 862.23
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 = 3.2477 at (0.0, -40.00398208063713) arcsec
Real: mean = 0.0010572 sum of squares = 1060.55
Imag: mean = -0.00154682 sum of squares = 859.489
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 = 3.24451 at (0.0, 0.0) arcsec
Real: mean = 0.00100701 sum of squares = 995.899
Imag: mean = -0.00215276 sum of squares = 926.402
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 = 3.24238 at (0.0, 0.0) arcsec
Real: mean = 0.0012293 sum of squares = 905.961
Imag: mean = -0.0028024 sum of squares = 1019.24
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 = 3.25841 at (0.0, 0.0) arcsec
Real: mean = 0.00181236 sum of squares = 854.354
Imag: mean = -0.00332154 sum of squares = 1072.08
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 = 3.27227 at (0.0, 0.0) arcsec
Real: mean = 0.00264997 sum of squares = 881.818
Imag: mean = -0.00344031 sum of squares = 1046.84
Masking frequency index 0
Mask scale size = 3.05889
Masking frequency index 1
Mask scale size = 3.05896
Masking frequency index 2
Mask scale size = 3.05904
Masking frequency index 3
Mask scale size = 3.05911
Masking frequency index 4
Mask scale size = 3.05919
Masking frequency index 5
Mask scale size = 3.05927
Masking frequency index 6
Mask scale size = 3.05934
Masking frequency index 7
Mask scale size = 3.05942
Masking frequency index 8
Mask scale size = 3.05949
Masking frequency index 9
Mask scale size = 3.05957
Masking frequency index 10
Mask scale size = 3.05965
Masking frequency index 11
Mask scale size = 3.05972
Masking frequency index 12
Mask scale size = 3.0598
Masking frequency index 13
Mask scale size = 3.05988
Masking frequency index 14
Mask scale size = 3.05995
Masking frequency index 15
Mask scale size = 3.06003
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.227051
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.219727
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.158691
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.168457
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.17334
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.178223
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.012207
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.012207
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -1.1206 100.59
Freq 1: Shift, scale = -1.5572 98.905
Freq 2: Shift, scale = -1.9995 97.945
Freq 3: Shift, scale = -2.4441 98.006
Freq 4: Shift, scale = -2.8912 99.015
Freq 5: Shift, scale = 2.9456 100.69
Freq 6: Shift, scale = 2.5017 102.37
Freq 7: Shift, scale = 2.0597 104.08
Freq 8: Shift, scale = 1.6198 105.46
Freq 9: Shift, scale = 1.1868 106.09
Freq 10: Shift, scale = 0.75529 105.92
Freq 11: Shift, scale = 0.32903 105.16
Freq 12: Shift, scale = -0.097801 104.07
Freq 13: Shift, scale = -0.52774 103.1
Freq 14: Shift, scale = -0.96197 101.86
Freq 15: Shift, scale = -1.3986 100.84
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: -0.408 radians
x offset: 0.014 arcsec
y offset: 0.129 arcsec
defocus: -0.00336 mm
Estimated x pointing error is -3.826 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.82 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.857 mm (used 2.86 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.408 radians
x offset: -0.000244 arcsec
y offset: 0.1 arcsec
defocus: -0.00568 mm
Estimated x pointing error is -3.84 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.79 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.854 mm (used 2.86 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.412 radians
x offset: -0.0192 arcsec
y offset: 0.0755 arcsec
defocus: -0.00633 mm
Estimated x pointing error is -3.859 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.77 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.854 mm (used 2.86 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.419 radians
x offset: -0.0272 arcsec
y offset: 0.0632 arcsec
defocus: -0.00555 mm
Estimated x pointing error is -3.867 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.75 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.854 mm (used 2.86 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.429 radians
x offset: -0.0144 arcsec
y offset: 0.0605 arcsec
defocus: -0.00455 mm
Estimated x pointing error is -3.854 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.75 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.855 mm (used 2.86 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.436 radians
x offset: 0.0124 arcsec
y offset: 0.0676 arcsec
defocus: -0.00253 mm
Estimated x pointing error is -3.828 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.76 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.857 mm (used 2.86 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.441 radians
x offset: 0.0336 arcsec
y offset: 0.0838 arcsec
defocus: -0.000967 mm
Estimated x pointing error is -3.806 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.77 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.859 mm (used 2.86 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.444 radians
x offset: 0.0765 arcsec
y offset: 0.0936 arcsec
defocus: 0.00177 mm
Estimated x pointing error is -3.763 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.78 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.862 mm (used 2.86 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.445 radians
x offset: 0.11 arcsec
y offset: 0.0799 arcsec
defocus: 0.00182 mm
Estimated x pointing error is -3.73 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.77 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.862 mm (used 2.86 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.441 radians
x offset: 0.141 arcsec
y offset: 0.076 arcsec
defocus: -0.00186 mm
Estimated x pointing error is -3.699 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.77 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.858 mm (used 2.86 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.436 radians
x offset: 0.146 arcsec
y offset: 0.051 arcsec
defocus: -0.0066 mm
Estimated x pointing error is -3.694 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.74 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.853 mm (used 2.86 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.425 radians
x offset: 0.141 arcsec
y offset: 0.0373 arcsec
defocus: -0.0107 mm
Estimated x pointing error is -3.699 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.73 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.849 mm (used 2.86 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.413 radians
x offset: 0.129 arcsec
y offset: 0.0178 arcsec
defocus: -0.0134 mm
Estimated x pointing error is -3.711 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.71 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.847 mm (used 2.86 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.403 radians
x offset: 0.131 arcsec
y offset: 0.0168 arcsec
defocus: -0.0128 mm
Estimated x pointing error is -3.709 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.71 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.847 mm (used 2.86 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.397 radians
x offset: 0.12 arcsec
y offset: 0.0375 arcsec
defocus: -0.0111 mm
Estimated x pointing error is -3.72 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.73 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.849 mm (used 2.86 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.395 radians
x offset: 0.122 arcsec
y offset: 0.045 arcsec
defocus: -0.00835 mm
Estimated x pointing error is -3.718 arcsec (used -3.84 arcsec)
Estimated y pointing error is 19.74 arcsec (used 19.69 arcsec)
Estimated defocus error is 2.852 mm (used 2.86 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 0.00044 piston
1 1 -0.00088 tilt_x
1 -1 0.01707 tilt_y
2 2 0.10862 astigmatism_0
2 0 0.00588 curvature
2 -2 0.03358 astigmatism45
3 3 0.02175 trefoil_0
3 1 -0.03301 coma_x
3 -1 0.04144 coma_y
3 -3 -0.06293 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 -0.00070 tilt_x
1 -1 0.01801 tilt_y
2 2 0.10608 astigmatism_0
2 0 0.00586 curvature
2 -2 0.03396 astigmatism45
3 3 0.02091 trefoil_0
3 1 -0.03155 coma_x
3 -1 0.04360 coma_y
3 -3 -0.05995 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 0.00027 piston
1 1 -0.00071 tilt_x
1 -1 0.01844 tilt_y
2 2 0.10641 astigmatism_0
2 0 0.00550 curvature
2 -2 0.03429 astigmatism45
3 3 0.02018 trefoil_0
3 1 -0.03165 coma_x
3 -1 0.04394 coma_y
3 -3 -0.05806 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 0.00017 piston
1 1 -0.00060 tilt_x
1 -1 0.01853 tilt_y
2 2 0.10620 astigmatism_0
2 0 0.00518 curvature
2 -2 0.03452 astigmatism45
3 3 0.02020 trefoil_0
3 1 -0.03150 coma_x
3 -1 0.04327 coma_y
3 -3 -0.05731 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 0.00002 piston
1 1 -0.00033 tilt_x
1 -1 0.01852 tilt_y
2 2 0.10834 astigmatism_0
2 0 0.00467 curvature
2 -2 0.03366 astigmatism45
3 3 0.02072 trefoil_0
3 1 -0.03147 coma_x
3 -1 0.04255 coma_y
3 -3 -0.05885 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 -0.00008 piston
1 1 0.00054 tilt_x
1 -1 0.01853 tilt_y
2 2 0.11112 astigmatism_0
2 0 0.00445 curvature
2 -2 0.03443 astigmatism45
3 3 0.02073 trefoil_0
3 1 -0.03037 coma_x
3 -1 0.04222 coma_y
3 -3 -0.06163 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 -0.00005 piston
1 1 0.00042 tilt_x
1 -1 0.01780 tilt_y
2 2 0.11410 astigmatism_0
2 0 0.00427 curvature
2 -2 0.03200 astigmatism45
3 3 0.01979 trefoil_0
3 1 -0.03227 coma_x
3 -1 0.04142 coma_y
3 -3 -0.06417 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 0.00003 piston
1 1 0.00045 tilt_x
1 -1 0.01741 tilt_y
2 2 0.11615 astigmatism_0
2 0 0.00431 curvature
2 -2 0.03168 astigmatism45
3 3 0.01864 trefoil_0
3 1 -0.03338 coma_x
3 -1 0.04156 coma_y
3 -3 -0.06553 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 0.00020 piston
1 1 0.00016 tilt_x
1 -1 0.01709 tilt_y
2 2 0.11614 astigmatism_0
2 0 0.00464 curvature
2 -2 0.03007 astigmatism45
3 3 0.01674 trefoil_0
3 1 -0.03431 coma_x
3 -1 0.04237 coma_y
3 -3 -0.06549 trefoil_30
Fitting many Zernikes for frequency 9
Using terms up to Zernike order 3
Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9
Minimiser fit code = 1
n l coeff name
0 0 0.00037 piston
1 1 -0.00005 tilt_x
1 -1 0.01696 tilt_y
2 2 0.11425 astigmatism_0
2 0 0.00508 curvature
2 -2 0.02999 astigmatism45
3 3 0.01573 trefoil_0
3 1 -0.03422 coma_x
3 -1 0.04302 coma_y
3 -3 -0.06384 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 0.00054 piston
1 1 -0.00015 tilt_x
1 -1 0.01675 tilt_y
2 2 0.11141 astigmatism_0
2 0 0.00554 curvature
2 -2 0.02975 astigmatism45
3 3 0.01486 trefoil_0
3 1 -0.03359 coma_x
3 -1 0.04275 coma_y
3 -3 -0.06168 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 0.00058 piston
1 1 -0.00043 tilt_x
1 -1 0.01710 tilt_y
2 2 0.10865 astigmatism_0
2 0 0.00576 curvature
2 -2 0.03021 astigmatism45
3 3 0.01560 trefoil_0
3 1 -0.03335 coma_x
3 -1 0.04328 coma_y
3 -3 -0.05927 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 0.00056 piston
1 1 -0.00075 tilt_x
1 -1 0.01765 tilt_y
2 2 0.10793 astigmatism_0
2 0 0.00583 curvature
2 -2 0.03002 astigmatism45
3 3 0.01624 trefoil_0
3 1 -0.03362 coma_x
3 -1 0.04411 coma_y
3 -3 -0.05868 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 0.00050 piston
1 1 -0.00059 tilt_x
1 -1 0.01823 tilt_y
2 2 0.10760 astigmatism_0
2 0 0.00590 curvature
2 -2 0.03011 astigmatism45
3 3 0.01653 trefoil_0
3 1 -0.03261 coma_x
3 -1 0.04477 coma_y
3 -3 -0.05976 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 0.00046 piston
1 1 -0.00034 tilt_x
1 -1 0.01848 tilt_y
2 2 0.10861 astigmatism_0
2 0 0.00589 curvature
2 -2 0.02953 astigmatism45
3 3 0.01730 trefoil_0
3 1 -0.03167 coma_x
3 -1 0.04478 coma_y
3 -3 -0.06083 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 0.00055 tilt_x
1 -1 0.01937 tilt_y
2 2 0.10860 astigmatism_0
2 0 0.00602 curvature
2 -2 0.02941 astigmatism45
3 3 0.01689 trefoil_0
3 1 -0.02869 coma_x
3 -1 0.04692 coma_y
3 -3 -0.06307 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: 34.8 25.5 21 22.1 25.1 35 51.7 38.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.7 26.5 20.2 22.2 24.2 27.3 41.1 33.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.08 5.99 8.18 10.1 13 18 26 16.7
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35 25.6 21.3 22.2 25.1 34.8 52.6 38.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 36 26.7 20.5 22.4 24.3 27.4 42.3 33.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.13 6.06 8.22 10.1 12.7 17.5 25.4 16.4
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.5 26 21.7 22.5 25.3 34.9 53.4 38.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.5 27.1 20.7 22.8 24.5 27.6 43.3 34.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.15 6.09 8.26 10.1 12.7 17.5 25.3 16.3
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.7 26 22.2 22.9 25.4 35.1 54 38.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.6 27.2 21.3 23.3 24.6 27.8 44.1 34.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.11 6.03 8.19 10 12.7 17.4 25.2 16.3
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.1 25.9 22.4 23.3 25 35.5 54.3 38.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 37 27.1 21.5 23.7 24.3 27.9 44.2 34
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.08 5.98 8.16 10.1 12.8 17.7 25.6 16.5
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.4 25.8 22.2 23.4 24.4 36 54.5 38.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 37.2 27 21.4 23.7 23.8 27.9 43.9 33.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.03 5.91 8.13 10.1 13.1 18.2 26.3 16.9
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.9 26.3 21.8 23.4 23.9 36.3 53.9 38.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 37.8 27.3 21.1 23.5 23.5 27.8 42.8 33.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.06 5.97 8.23 10.3 13.4 18.6 26.9 17.2
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.6 26.1 21.6 23.3 23.9 36.2 52.9 37.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 37.4 27.2 20.8 23.2 23.4 27.5 41.5 32.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.11 6.06 8.35 10.5 13.6 18.9 27.3 17.5
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.9 26 21.3 22.9 24.2 35.9 52 37.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.8 27.1 20.5 22.8 23.4 27.1 40.4 32.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.17 6.18 8.47 10.5 13.6 18.8 27.2 17.5
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.9 26 20.9 22.6 24.4 35.4 51.4 37.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.9 27.2 20.2 22.6 23.7 26.9 39.8 32
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.2 6.21 8.48 10.5 13.4 18.5 26.8 17.2
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.9 26.4 20.7 22.2 24.4 35 50.7 37.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.9 27.5 20 22.2 23.7 26.9 39.4 32.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.16 6.14 8.36 10.3 13.1 18 26.1 16.8
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.3 26.5 20.8 21.9 24.4 34.6 50.8 37.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.2 27.6 20 21.9 23.7 26.8 39.8 32.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.17 6.15 8.33 10.2 12.8 17.6 25.6 16.5
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.3 26.4 20.8 21.7 24.2 34.6 50.9 37.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.2 27.5 20 21.6 23.6 26.8 40.2 32.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.22 6.22 8.41 10.2 12.7 17.5 25.4 16.4
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.5 26.2 20.9 21.7 23.9 34.6 51.6 37.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.5 27.3 20.2 21.4 23.5 26.7 41.1 33.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.21 6.21 8.4 10.2 12.7 17.5 25.5 16.4
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.8 25.9 21.1 21.9 23.9 35 52.7 38.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.9 27 20.5 21.6 23.5 27.2 42.1 33.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.18 6.16 8.36 10.2 12.8 17.7 25.7 16.5
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 35.7 25.6 21.3 22.3 24 35.3 54 38.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 36.8 26.9 20.8 22 23.7 27.6 43.2 34.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.19 6.18 8.38 10.2 12.9 17.8 25.9 16.6
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 32 24.7 20.3 21.4 23.5 34.2 51.8 37.1
Mean deviation is 2.3851917049268132 microns
Taper = 10 dB, Ruze illumination-weighted rms = 35.7 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 32.5 micron
Centre pixel: 64.0 64.0 Value = 2314.9 (estimate), 3426.12 (perfect)
Strehl = 0.456521
Strehl ratio estimate = 0.4565
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 = 31.2 micron
Centre pixel: 64.0 64.0 Value = 1711.91 (estimate), 3426.12 (perfect)
Strehl = 0.249664
Strehl ratio estimate = 0.2497
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 41.9 6.6 12.1 44.1
2 1 2 53.3 5.7 30.1 61.5
3 1 3 101.5 26.7 26.2 108.2
4 1 4 101.0 25.4 21.3 106.3
5 1 5 70.9 56.8 103.8 137.9
6 1 6 107.2 51.2 47.9 128.1
7 1 7 90.0 49.6 59.9 119.0
8 1 8 78.0 81.3 84.1 140.5
9 1 9 -5.6 36.3 29.6 47.1
10 1 10 73.2 39.9 57.1 101.0
11 1 11 87.9 37.5 13.3 96.4
12 1 12 53.8 -1.1 9.1 54.6
13 2 1 31.3 -36.9 -31.3 57.7
14 2 2 15.5 -13.1 -10.9 23.0
15 2 3 43.7 -20.4 -18.7 51.7
16 2 4 26.7 -8.2 -1.0 27.9
17 2 5 57.1 6.6 5.8 57.8
18 2 6 44.1 10.9 36.8 58.5
19 2 7 31.3 14.2 10.9 36.0
20 2 8 66.6 9.9 -0.0 67.4
21 2 9 59.2 -4.3 -1.7 59.4
22 2 10 45.0 5.7 31.7 55.3
23 2 11 45.9 7.4 -2.1 46.5
24 2 12 44.3 -8.6 -13.8 47.2
25 2 13 59.0 -1.3 -18.2 61.8
26 2 14 49.8 -21.0 3.9 54.2
27 2 15 71.6 -13.7 -15.4 74.5
28 2 16 60.1 13.5 0.8 61.6
29 2 17 41.2 11.2 2.7 42.8
30 2 18 41.7 22.1 -13.1 49.0
31 2 19 7.1 -32.5 -18.3 38.0
32 2 20 48.4 -37.1 -43.4 74.8
33 2 21 29.7 -20.9 -19.0 41.0
34 2 22 21.3 -43.0 -36.8 60.5
35 2 23 39.6 -10.5 -9.9 42.1
36 2 24 26.1 -27.2 -31.1 48.8
37 3 1 -16.7 -1.9 -23.2 28.6
38 3 2 0.9 -5.8 -13.3 14.6
39 3 3 -8.8 -7.4 -18.8 22.0
40 3 4 -4.0 -10.5 11.6 16.1
41 3 5 -14.3 4.1 -9.1 17.4
42 3 6 -20.0 -4.5 -2.4 20.7
43 3 7 -6.7 -4.5 -16.7 18.6
44 3 8 5.0 -2.4 -9.5 11.0
45 3 9 18.0 -8.5 -19.0 27.5
46 3 10 8.8 -1.1 -23.9 25.4
47 3 11 35.3 8.6 -12.1 38.3
48 3 12 18.0 3.6 -15.0 23.7
49 3 13 0.1 12.5 2.0 12.7
50 3 14 22.3 -3.6 -6.1 23.4
51 3 15 -0.3 -2.6 1.9 3.3
52 3 16 18.2 -7.7 -3.3 20.0
53 3 17 31.5 -2.7 -9.7 33.1
54 3 18 23.3 -0.2 -6.1 24.1
55 3 19 21.4 -2.6 -42.0 47.2
56 3 20 3.9 -19.6 -33.0 38.6
57 3 21 -2.6 -26.4 -30.3 40.2
58 3 22 -17.4 -16.4 -11.8 26.7
59 3 23 -34.0 -23.3 -16.9 44.6
60 3 24 -20.5 -33.0 -34.2 51.8
61 3 25 -23.5 -35.3 -22.3 47.9
62 3 26 -58.0 -26.4 -2.2 63.7
63 3 27 -44.8 -27.2 -29.2 60.0
64 3 28 4.9 -28.3 -49.9 57.6
65 3 29 -2.6 -35.9 -39.1 53.1
66 3 30 -1.5 -36.5 -58.8 69.2
67 3 31 5.9 -18.7 -23.5 30.6
68 3 32 19.8 4.3 -37.3 42.5
69 3 33 25.8 12.6 22.7 36.6
70 3 34 25.1 9.6 7.2 27.8
71 3 35 25.0 20.1 -53.3 62.3
72 3 36 4.8 -13.1 -28.4 31.6
73 3 37 -18.9 -18.6 -75.4 79.9
74 3 38 -18.6 -4.7 -43.0 47.0
75 3 39 -11.3 -13.7 -37.3 41.3
76 3 40 26.2 -15.0 -36.4 47.3
77 3 41 -6.8 -22.0 -1.4 23.1
78 3 42 -9.7 -4.5 -6.0 12.3
79 3 43 -12.4 -2.9 -13.0 18.2
80 3 44 8.7 -2.3 -2.6 9.4
81 3 45 11.2 -9.0 -1.8 14.5
82 3 46 -4.3 -4.7 -13.8 15.2
83 3 47 -5.9 -7.5 -19.1 21.3
84 3 48 -15.5 -5.0 -45.8 48.6
85 4 1 -12.9 -25.3 4.5 28.8
86 4 2 -38.4 -25.7 -29.9 55.0
87 4 3 -24.7 -31.2 -40.2 56.6
88 4 4 -7.5 -13.2 -52.2 54.4
89 4 5 8.5 -5.2 -25.5 27.4
90 4 6 9.6 -10.4 -18.4 23.2
91 4 7 12.9 -8.9 -10.0 18.6
92 4 8 -6.8 3.9 -17.5 19.2
93 4 9 -10.5 -4.8 -15.7 19.5
94 4 10 -12.7 -6.8 -28.2 31.7
95 4 11 -20.4 0.1 -8.8 22.2
96 4 12 -25.4 5.4 -28.0 38.2
97 4 13 -6.2 -12.6 40.9 43.3
98 4 14 -7.7 -0.2 6.5 10.1
99 4 15 -18.8 -11.2 -23.9 32.4
100 4 16 -45.8 -1.1 -21.4 50.6
101 4 17 -16.9 -7.1 -21.2 28.0
102 4 18 10.0 -23.9 -0.5 25.9
103 4 19 -22.3 -28.1 -21.2 41.6
104 4 20 -8.7 -17.0 -43.9 47.9
105 4 21 -15.9 -26.4 -33.3 45.4
106 4 22 -63.6 -25.0 -1.2 68.3
107 4 23 -28.9 -58.6 -26.8 70.6
108 4 24 0.5 -22.2 5.7 22.9
109 4 25 -19.8 -22.1 24.7 38.6
110 4 26 -7.8 -41.0 -15.2 44.4
111 4 27 -31.2 -27.9 -15.4 44.6
112 4 28 -15.2 -30.0 -16.1 37.3
113 4 29 -53.6 -12.7 -51.0 75.1
114 4 30 -58.0 -34.7 29.1 73.6
115 4 31 -57.5 -31.8 -8.4 66.2
116 4 32 -44.1 -12.7 -13.9 47.9
117 4 33 -3.4 -15.6 20.7 26.2
118 4 34 18.2 4.8 -5.6 19.7
119 4 35 -79.2 37.7 -54.8 103.4
120 4 36 -48.4 -23.2 -39.5 66.6
121 4 37 -9.1 -17.7 -46.4 50.5
122 4 38 -24.9 -15.2 -22.7 37.0
123 4 39 -27.2 -18.0 -31.0 45.0
124 4 40 -29.8 -3.8 -21.7 37.1
125 4 41 2.4 15.0 15.1 21.4
126 4 42 26.7 -8.9 -8.7 29.4
127 4 43 4.4 -15.1 -23.4 28.2
128 4 44 -12.0 8.4 0.6 14.7
129 4 45 -25.9 -2.7 20.2 32.9
130 4 46 -17.6 -20.6 0.4 27.0
131 4 47 -58.7 -7.1 -48.4 76.4
132 4 48 -34.5 -23.3 -17.7 45.3
133 5 1 -5.3 -0.7 -8.3 9.9
134 5 2 22.9 17.5 -36.2 46.3
135 5 3 -60.2 -3.9 -15.2 62.2
136 5 4 -17.3 -6.9 3.7 19.0
137 5 5 -26.7 -1.1 -18.0 32.2
138 5 6 3.8 3.9 -33.5 34.0
139 5 7 8.6 20.6 10.3 24.5
140 5 8 -0.0 25.4 -4.8 25.8
141 5 9 8.8 15.1 12.3 21.4
142 5 10 -9.3 16.4 14.1 23.5
143 5 11 11.9 0.1 7.1 13.9
144 5 12 -25.9 33.1 16.5 45.1
145 5 13 -9.2 14.5 14.8 22.6
146 5 14 7.1 27.3 -6.7 29.0
147 5 15 -10.0 9.4 8.1 16.0
148 5 16 -5.0 13.6 4.3 15.1
149 5 17 -16.4 13.3 4.1 21.5
150 5 18 -8.2 -20.7 177.9 179.3
151 5 19 -18.0 -24.3 -27.0 40.5
152 5 20 -27.8 -11.5 -23.8 38.4
153 5 21 -7.9 -6.5 -29.9 31.6
154 5 22 -16.8 1.4 -36.3 40.1
155 5 23 -36.4 -20.7 -34.7 54.4
156 5 24 -20.9 -36.4 -19.0 46.0
157 5 25 -21.4 -37.2 -29.2 51.9
158 5 26 -34.5 -10.9 -25.1 44.1
159 5 27 -4.2 -2.4 -26.0 26.4
160 5 28 -7.5 -16.6 -25.7 31.5
161 5 29 4.0 -13.9 -29.6 32.9
162 5 30 6.4 -19.6 -15.5 25.7
163 5 31 17.1 -9.2 -1.6 19.5
164 5 32 -20.6 -4.9 36.9 42.5
165 5 33 -4.1 -1.3 7.2 8.4
166 5 34 -6.1 0.1 23.0 23.8
167 5 35 3.1 47.0 -29.7 55.7
168 5 36 -20.0 -12.6 -25.4 34.6
169 5 37 -13.4 -10.5 -15.2 22.8
170 5 38 7.1 -17.6 -36.0 40.7
171 5 39 -22.0 14.2 -40.3 48.1
172 5 40 -2.3 11.2 -23.8 26.4
173 5 41 15.2 9.9 17.6 25.3
174 5 42 -29.0 24.7 8.5 39.1
175 5 43 30.8 27.3 24.6 47.9
176 5 44 57.2 24.1 -1.9 62.1
177 5 45 24.1 19.2 -41.0 51.3
178 5 46 -3.0 -9.9 26.4 28.3
179 5 47 25.7 1.5 -49.2 55.5
180 5 48 -1.6 -1.4 -21.6 21.7
181 6 1 3.1 -56.0 -90.2 106.2
182 6 2 -12.1 -45.1 -97.0 107.6
183 6 3 42.5 -45.8 -67.5 92.0
184 6 4 -19.9 -12.4 -64.0 68.1
185 6 5 23.6 -12.9 -18.6 32.7
186 6 6 6.7 10.7 -10.4 16.4
187 6 7 -5.9 3.2 -1.8 7.0
188 6 8 -19.6 11.9 -13.8 26.8
189 6 9 52.7 15.8 104.7 118.2
190 6 10 46.2 26.8 62.0 81.8
191 6 11 17.1 31.1 7.1 36.2
192 6 12 17.3 44.9 19.1 51.8
193 6 13 14.3 37.0 15.8 42.7
194 6 14 -13.2 11.5 5.6 18.4
195 6 15 18.5 2.3 38.6 42.9
196 6 16 26.8 3.7 44.3 51.9
197 6 17 -34.0 -6.2 -6.6 35.2
198 6 18 -25.9 -11.3 -15.0 32.0
199 6 19 -10.5 -27.0 8.0 30.1
200 6 20 -9.9 1.9 13.9 17.2
201 6 21 -73.3 -15.1 -105.9 129.7
202 6 22 -3.0 -28.6 19.8 35.0
203 6 23 -36.5 -24.4 33.3 55.1
204 6 24 -54.4 -25.2 8.0 60.4
205 6 25 -80.5 -25.1 -32.7 90.4
206 6 26 -54.2 -47.2 -18.8 74.3
207 6 27 -70.4 -40.4 -11.0 81.9
208 6 28 -15.6 -15.6 20.8 30.3
209 6 29 -44.8 -21.1 -59.5 77.4
210 6 30 -30.7 -11.7 37.7 50.0
211 6 31 -17.7 -11.1 23.5 31.4
212 6 32 -9.3 5.8 -19.8 22.6
213 6 33 24.9 29.1 183.0 187.0
214 6 34 31.0 24.0 45.2 59.8
215 6 35 2.4 51.4 66.3 83.9
216 6 36 -15.8 36.2 76.8 86.3
217 6 37 -21.7 30.3 56.7 67.8
218 6 38 -12.7 -7.5 9.7 17.7
219 6 39 48.4 8.7 61.4 78.7
220 6 40 -62.3 55.2 26.2 87.2
221 6 41 16.6 61.3 66.4 91.8
222 6 42 78.4 15.1 65.4 103.2
223 6 43 6.1 13.2 59.2 61.0
224 6 44 1.7 15.9 38.9 42.1
225 6 45 12.1 10.7 74.8 76.5
226 6 46 41.1 -37.4 -35.0 65.7
227 6 47 -14.0 -48.0 -84.9 98.5
228 6 48 -24.4 -60.0 -101.8 120.7
229 7 1 -119.4 -66.5 -91.3 164.4
230 7 2 -133.4 -83.4 -115.5 195.2
231 7 3 -62.7 -81.5 -53.9 116.1
232 7 4 -35.2 12.3 -37.1 52.6
233 7 5 -47.4 -44.5 22.3 68.7
234 7 6 -24.7 28.6 -10.2 39.1
235 7 7 10.9 26.0 52.7 59.8
236 7 8 32.8 90.3 0.2 96.1
237 7 9 91.6 48.4 103.8 146.6
238 7 10 56.9 86.6 82.6 132.5
239 7 11 20.5 63.7 57.6 88.3
240 7 12 40.4 84.0 89.1 129.0
241 7 13 24.9 91.0 92.1 131.9
242 7 14 24.2 79.9 87.2 120.7
243 7 15 -7.2 54.9 67.9 87.6
244 7 16 47.7 89.6 44.7 110.9
245 7 17 14.3 6.8 87.1 88.6
246 7 18 12.9 48.2 34.7 60.8
247 7 19 15.7 26.6 65.0 72.0
248 7 20 0.2 12.8 66.6 67.8
249 7 21 35.1 49.9 143.0 155.5
250 7 22 -14.4 56.7 103.7 119.1
251 7 23 40.8 62.4 94.0 119.9
252 7 24 9.3 72.9 121.5 142.0
253 7 25 -34.3 73.8 103.7 131.9
254 7 26 -9.1 55.2 57.7 80.3
255 7 27 -43.6 52.6 66.1 95.1
256 7 28 -15.5 82.3 263.3 276.3
257 7 29 -12.2 12.3 -23.4 29.1
258 7 30 -43.9 -23.1 -39.6 63.5
259 7 31 -1.3 -28.3 -46.2 54.3
260 7 32 16.7 15.6 3.6 23.2
261 7 33 61.4 -245.4 159.1 298.8
262 7 34 62.2 50.6 40.7 89.9
263 7 35 82.6 93.5 74.3 145.2
264 7 36 64.7 73.9 98.8 139.3
265 7 37 29.0 79.1 46.9 96.4
266 7 38 27.6 47.8 21.5 59.2
267 7 39 72.5 77.4 41.9 114.1
268 7 40 85.6 255.7 24.4 270.8
269 7 41 70.6 88.6 19.7 115.0
270 7 42 66.0 49.4 71.7 109.3
271 7 43 -8.4 59.6 -69.2 91.7
272 7 44 4.0 -15.9 -14.0 21.6
273 7 45 -56.1 -0.6 18.9 59.2
274 7 46 -29.1 -43.2 -24.8 57.7
275 7 47 -67.7 -26.2 -90.6 116.1
276 7 48 -88.9 53.8 -40.0 111.4
Creating sector-motor-move file
sector motor steps
1 1 -11
1 2 3
1 3 -10
1 4 -19
1 5 -3
1 6 -6
1 7 -16
1 8 -24
1 9 -19
1 10 -20
1 11 -14
1 12 13
1 13 -35
1 14 -25
1 15 -40
1 16 -29
1 17 -13
1 18 -3
1 19 -28
1 20 -20
1 21 -36
1 22 -27
1 23 -17
1 24 0
1 25 1
1 26 -2
1 27 -5
1 28 -16
1 29 -4
1 30 -2
1 31 -4
1 32 -1
1 33 -18
1 34 -12
1 35 -9
1 36 -7
1 37 -11
1 38 5
1 39 7
1 40 -9
1 41 -7
1 42 -11
1 43 -2
1 44 0
1 45 -1
1 46 1
1 47 -7
1 48 -3
1 49 -5
1 50 -2
1 51 -2
1 52 -3
1 53 -4
1 54 4
1 55 -4
1 56 -1
1 57 0
1 58 2
1 59 12
1 60 3
1 61 -7
1 62 0
1 63 -5
1 64 -6
1 65 9
1 66 -9
1 67 3
1 68 -3
1 69 -1
2 1 0
2 2 27
2 3 10
2 4 -4
2 5 3
2 6 -5
2 7 16
2 8 7
2 9 3
2 10 0
2 11 0
2 12 -1
2 13 -3
2 14 8
2 15 -7
2 16 -3
2 17 3
2 18 2
2 19 6
2 20 -13
2 21 -14
2 22 -5
2 23 -3
2 24 7
2 25 -1
2 26 7
2 27 0
2 28 -5
2 29 1
2 30 -2
2 31 3
2 32 6
2 33 2
2 34 -3
2 35 -2
2 36 3
2 37 -10
2 38 1
2 39 1
2 40 -5
2 41 -3
2 42 2
2 43 -5
2 44 0
2 45 -8
2 46 -7
2 47 -1
2 48 2
2 49 -5
2 50 -1
2 51 -2
2 52 0
2 53 -2
2 54 8
2 55 0
2 56 -1
2 57 -6
2 58 1
2 59 16
2 60 9
2 61 -2
2 62 1
2 63 -4
2 64 2
2 65 13
2 66 -5
2 67 -2
2 68 0
2 69 1
3 1 27
3 2 25
3 3 12
3 4 5
3 5 13
3 6 5
3 7 17
3 8 19
3 9 6
3 10 2
3 11 9
3 12 5
3 13 25
3 14 26
3 15 17
3 16 19
3 17 8
3 18 14
3 19 31
3 20 14
3 21 28
3 22 32
3 23 4
3 24 16
3 25 5
3 26 10
3 27 -7
3 28 -8
3 29 1
3 30 -7
3 31 2
3 32 0
3 33 3
3 34 -2
3 35 0
3 36 -6
3 37 4
3 38 5
3 39 -2
3 40 -8
3 41 -2
3 42 -3
3 43 3
3 44 4
3 45 2
3 46 -4
3 47 -1
3 48 -3
3 49 -3
3 50 2
3 51 10
3 52 11
3 53 3
3 54 13
3 55 -7
3 56 0
3 57 2
3 58 8
3 59 31
3 60 8
3 61 -5
3 62 -2
3 63 5
3 64 4
3 65 17
3 66 1
3 67 -4
3 68 1
3 69 5
4 1 13
4 2 27
4 3 14
4 4 13
4 5 1
4 6 8
4 7 20
4 8 16
4 9 -2
4 10 11
4 11 0
4 12 5
4 13 26
4 14 24
4 15 7
4 16 1
4 17 3
4 18 -4
4 19 28
4 20 27
4 21 7
4 22 4
4 23 11
4 24 4
4 25 1
4 26 4
4 27 -1
4 28 -6
4 29 0
4 30 -14
4 31 2
4 32 2
4 33 -3
4 34 -7
4 35 -3
4 36 -5
4 37 -2
4 38 8
4 39 2
4 40 1
4 41 0
4 42 -2
4 43 4
4 44 4
4 45 -2
4 46 12
4 47 -3
4 48 -1
4 49 0
4 50 0
4 51 0
4 52 0
4 53 3
4 54 20
4 55 -1
4 56 -1
4 57 6
4 58 7
4 59 30
4 60 6
4 61 0
4 62 3
4 63 0
4 64 -1
4 65 9
4 66 3
4 67 -1
4 68 -2
4 69 5
5 1 20
5 2 3
5 3 0
5 4 4
5 5 0
5 6 -3
5 7 19
5 8 8
5 9 4
5 10 2
5 11 -8
5 12 -3
5 13 10
5 14 14
5 15 3
5 16 -4
5 17 -3
5 18 -7
5 19 26
5 20 2
5 21 4
5 22 -2
5 23 -1
5 24 -10
5 25 -7
5 26 -3
5 27 -8
5 28 -13
5 29 -5
5 30 -2
5 31 -8
5 32 -7
5 33 -5
5 34 -6
5 35 -8
5 36 -6
5 37 54
5 38 -6
5 39 -2
5 40 0
5 41 -7
5 42 3
5 43 1
5 44 4
5 45 -5
5 46 -6
5 47 -2
5 48 -5
5 49 -12
5 50 0
5 51 6
5 52 9
5 53 1
5 54 13
5 55 -1
5 56 0
5 57 7
5 58 17
5 59 21
5 60 31
5 61 -2
5 62 0
5 63 9
5 64 2
5 65 18
5 66 0
5 67 -10
5 68 -6
5 69 1
6 1 37
6 2 22
6 3 2
6 4 2
6 5 -7
6 6 -16
6 7 28
6 8 19
6 9 12
6 10 10
6 11 -7
6 12 -11
6 13 31
6 14 17
6 15 -4
6 16 6
6 17 -8
6 18 0
6 19 43
6 20 15
6 21 10
6 22 -32
6 23 -4
6 24 -22
6 25 -5
6 26 -11
6 27 -6
6 28 1
6 29 -6
6 30 0
6 31 -10
6 32 -6
6 33 -11
6 34 -8
6 35 -17
6 36 -8
6 37 -11
6 38 0
6 39 -5
6 40 0
6 41 -7
6 42 -19
6 43 -9
6 44 -1
6 45 -2
6 46 -10
6 47 -8
6 48 -4
6 49 -5
6 50 -7
6 51 -10
6 52 -4
6 53 -2
6 54 13
6 55 -3
6 56 -5
6 57 -5
6 58 15
6 59 32
6 60 14
6 61 -9
6 62 -8
6 63 0
6 64 0
6 65 14
6 66 0
6 67 -10
6 68 -10
6 69 -6
7 1 80
7 2 25
7 3 -4
7 4 6
7 5 -4
7 6 -4
7 7 20
7 8 16
7 9 -13
7 10 -3
7 11 -12
7 12 -21
7 13 17
7 14 16
7 15 -2
7 16 -5
7 17 -14
7 18 -16
7 19 31
7 20 22
7 21 -10
7 22 -10
7 23 -7
7 24 -24
7 25 -7
7 26 -5
7 27 -2
7 28 -4
7 29 -9
7 30 -4
7 31 -7
7 32 0
7 33 -1
7 34 -4
7 35 -8
7 36 -9
7 37 -7
7 38 -3
7 39 -10
7 40 -4
7 41 -12
7 42 -2
7 43 -8
7 44 -11
7 45 -6
7 46 7
7 47 -6
7 48 -6
7 49 -8
7 50 -8
7 51 -13
7 52 1
7 53 -6
7 54 15
7 55 0
7 56 -8
7 57 -17
7 58 15
7 59 27
7 60 18
7 61 -6
7 62 -10
7 63 -7
7 64 -4
7 65 18
7 66 -5
7 67 -15
7 68 -8
7 69 1
8 1 1
8 2 4
8 3 5
8 4 -6
8 5 1
8 6 -2
8 7 -14
8 8 -8
8 9 0
8 10 7
8 11 -3
8 12 -5
8 13 -12
8 14 -7
8 15 -13
8 16 11
8 17 -3
8 18 -9
8 19 -7
8 20 3
8 21 -3
8 22 -18
8 23 -6
8 24 -13
8 25 11
8 26 -1
8 27 -6
8 28 -4
8 29 -3
8 30 -13
8 31 0
8 32 -2
8 33 5
8 34 -2
8 35 -9
8 36 -17
8 37 -4
8 38 -6
8 39 1
8 40 8
8 41 -10
8 42 -17
8 43 -9
8 44 -4
8 45 1
8 46 -15
8 47 -3
8 48 -16
8 49 -7
8 50 -5
8 51 1
8 52 0
8 53 4
8 54 18
8 55 -18
8 56 -11
8 57 0
8 58 24
8 59 23
8 60 25
8 61 -11
8 62 -11
8 63 0
8 64 3
8 65 21
8 66 -4
8 67 -11
8 68 1
8 69 6
9 1 30
9 2 22
9 3 19
9 4 23
9 5 11
9 6 -4
9 7 22
9 8 28
9 9 25
9 10 20
9 11 15
9 12 0
9 13 12
9 14 15
9 15 19
9 16 13
9 17 7
9 18 9
9 19 48
9 20 -75
9 21 18
9 22 56
9 23 8
9 24 7
9 25 -7
9 26 -3
9 27 -6
9 28 -12
9 29 -7
9 30 -14
9 31 -9
9 32 14
9 33 0
9 34 -16
9 35 11
9 36 -24
9 37 7
9 38 0
9 39 -1
9 40 -1
9 41 1
9 42 5
9 43 2
9 44 0
9 45 -1
9 46 6
9 47 -4
9 48 -1
9 49 -16
9 50 6
9 51 7
9 52 -4
9 53 6
9 54 12
9 55 2
9 56 2
9 57 7
9 58 11
9 59 -1
9 60 9
9 61 6
9 62 3
9 63 7
9 64 -9
9 65 12
9 66 0
9 67 -8
9 68 -4
9 69 1
10 1 7
10 2 78
10 3 26
10 4 8
10 5 16
10 6 -19
10 7 12
10 8 23
10 9 22
10 10 18
10 11 2
10 12 14
10 13 6
10 14 14
10 15 8
10 16 2
10 17 -2
10 18 -3
10 19 14
10 20 24
10 21 8
10 22 17
10 23 9
10 24 -6
10 25 -7
10 26 3
10 27 0
10 28 -6
10 29 -1
10 30 -9
10 31 -12
10 32 4
10 33 -6
10 34 -9
10 35 -5
10 36 -8
10 37 -11
10 38 -5
10 39 2
10 40 -6
10 41 -4
10 42 -7
10 43 -4
10 44 -3
10 45 -4
10 46 -14
10 47 -5
10 48 -2
10 49 -11
10 50 -4
10 51 -3
10 52 -13
10 53 -11
10 54 14
10 55 -13
10 56 -1
10 57 -5
10 58 12
10 59 22
10 60 17
10 61 -23
10 62 -5
10 63 -5
10 64 -6
10 65 2
10 66 -5
10 67 -11
10 68 -4
10 69 8
11 1 -4
11 2 -4
11 3 1
11 4 11
11 5 4
11 6 0
11 7 -21
11 8 18
11 9 -2
11 10 18
11 11 4
11 12 1
11 13 21
11 14 15
11 15 20
11 16 20
11 17 4
11 18 24
11 19 6
11 20 27
11 21 21
11 22 20
11 23 18
11 24 5
11 25 0
11 26 7
11 27 17
11 28 0
11 29 2
11 30 -3
11 31 7
11 32 8
11 33 9
11 34 -7
11 35 -4
11 36 1
11 37 2
11 38 7
11 39 -8
11 40 -2
11 41 -2
11 42 8
11 43 5
11 44 3
11 45 4
11 46 4
11 47 4
11 48 0
11 49 -3
11 50 0
11 51 -3
11 52 -11
11 53 -13
11 54 6
11 55 -1
11 56 -1
11 57 -2
11 58 11
11 59 26
11 60 4
11 61 0
11 62 -6
11 63 -2
11 64 -3
11 65 9
11 66 -5
11 67 0
11 68 0
11 69 2
12 1 -12
12 2 16
12 3 -27
12 4 -31
12 5 -18
12 6 -7
12 7 -27
12 8 -8
12 9 -20
12 10 -26
12 11 -14
12 12 -4
12 13 -7
12 14 -13
12 15 -8
12 16 -10
12 17 -11
12 18 12
12 19 5
12 20 0
12 21 -17
12 22 22
12 23 3
12 24 3
12 25 -6
12 26 0
12 27 0
12 28 -5
12 29 -7
12 30 -10
12 31 -15
12 32 0
12 33 7
12 34 -14
12 35 -2
12 36 -17
12 37 8
12 38 -3
12 39 0
12 40 0
12 41 -6
12 42 -5
12 43 -12
12 44 5
12 45 7
12 46 6
12 47 0
12 48 -7
12 49 -5
12 50 -2
12 51 -1
12 52 -9
12 53 -8
12 54 7
12 55 -4
12 56 -1
12 57 -1
12 58 0
12 59 16
12 60 2
12 61 0
12 62 -2
12 63 3
12 64 -11
12 65 12
12 66 -3
12 67 -14
12 68 -1
12 69 -4
Adjuster movements: rms = 41.7 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041115-145109
Creating HTML output file of plots
Plotting summary text