![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20050420-172845.fits
Reduced on 20050421-230054 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 | rxh3-20050420-172845.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 1.7 |
| data.pointing_offset_y | 13.7 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.84 |
| 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 | 0.033840000000000002 |
| 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: 20050421-230054
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20050420-172845.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 = 2402.0 max = 2433.0 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.840 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 -3.03711 3.05176 -0.03422
loimag -3.17871 3.09082 0.00297
hireal -5.00000 4.99756 -0.39596
hiimag -5.00000 4.99756 -0.26610
xpos -2432.19303 2432.99049 -3.19180
ypos -2402.03054 2402.07013 -0.02432
plock160 0.19531 1.70410 1.02463
lorefpwr 0.16602 1.58447 1.13791
losigpwr -4.52637 -0.29297 -4.33696
hirefpwr 0.23193 1.61377 1.18472
hisigpwr -4.42627 4.99756 -0.87620
encltemp 31.66504 32.93457 32.22123
flags 0.00000 256.00000 2.76738
phi-lock -1.76270 -0.36377 -1.08601
sindex 0.00000 128.00000 63.61104
time 0.00000 2043.98983 1016.77184
zeropt -0.00732 -0.00488 -0.00551
!!!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 = 40.00553 arcsec
Mean row spacing = 40.00555 arcsec (alternate estimator)
Mean tracking incline = 0.40114 arcsec
Mean pointing range = 1.43553 arcsec
Mean pointing rms = 0.26652 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (1.7, 13.7 ) 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: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22671 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22671 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 = 2432.99 arcsec
Grid extent = 2540 arcsec
lambda_min = 0.00373025
scale = 0.00129968
Diffraction scale lambda/D = 51.3137 arcsec
Gridding function extent = 307.882 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 153.941 arcsec
Airy first null at 62.5858 arcsec
Gridding frequency index 0
lambda = 0.00373164 metres, scale = 0.0012992 radians per metre
Gridding real part of frequency 0...
Gridding imag part of frequency 0...
Pattern is holo(res.pattern0)
Weights in holo(obs.real,wt0) and holo(obs.imag,wt0)
Maximum amplitude = 2.87779 at (0.0, 0.0) arcsec
Real: mean = 0.000664957 sum of squares = 832.75
Imag: mean = -0.002591 sum of squares = 1003.04
Gridding frequency index 1
lambda = 0.00373155 metres, scale = 0.00129923 radians per metre
Gridding real part of frequency 1...
Gridding imag part of frequency 1...
Pattern is holo(res.pattern1)
Weights in holo(obs.real,wt1) and holo(obs.imag,wt1)
Maximum amplitude = 2.91824 at (0.0, 0.0) arcsec
Real: mean = 0.00110526 sum of squares = 826.567
Imag: mean = -0.00299027 sum of squares = 1010.14
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 = 2.96268 at (0.0, 0.0) arcsec
Real: mean = 0.00173599 sum of squares = 887.573
Imag: mean = -0.00305187 sum of squares = 952.416
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 = 3.01531 at (0.0, 0.0) arcsec
Real: mean = 0.00222081 sum of squares = 972.965
Imag: mean = -0.00281472 sum of squares = 869.624
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 = 3.05193 at (0.0, 0.0) arcsec
Real: mean = 0.00249648 sum of squares = 1023.98
Imag: mean = -0.0024547 sum of squares = 824.464
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 = 3.07149 at (0.0, 0.0) arcsec
Real: mean = 0.00264986 sum of squares = 1001.04
Imag: mean = -0.00197276 sum of squares = 852.977
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 = 3.05411 at (0.0, 0.0) arcsec
Real: mean = 0.00262112 sum of squares = 921.984
Imag: mean = -0.0016152 sum of squares = 936.389
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 = 3.0294 at (0.0, 0.0) arcsec
Real: mean = 0.00249363 sum of squares = 849.397
Imag: mean = -0.00123443 sum of squares = 1011.76
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 = 2.98376 at (0.0, 0.0) arcsec
Real: mean = 0.00216701 sum of squares = 839.015
Imag: mean = -0.000825575 sum of squares = 1025.83
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 = 2.94858 at (0.0, 0.0) arcsec
Real: mean = 0.0016132 sum of squares = 894.92
Imag: mean = -0.000651128 sum of squares = 972.391
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 = 2.92168 at (0.0, -40.004977724682043) arcsec
Real: mean = 0.00111809 sum of squares = 979.672
Imag: mean = -0.000926211 sum of squares = 889.504
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 = 2.9124 at (0.0, -40.00398208063713) arcsec
Real: mean = 0.000912435 sum of squares = 1031.49
Imag: mean = -0.00136838 sum of squares = 840.696
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 = 2.91785 at (0.0, -40.002986486150171) arcsec
Real: mean = 0.000809901 sum of squares = 1016.19
Imag: mean = -0.00166025 sum of squares = 858.241
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 = 2.89731 at (0.0, -40.001990941217464) arcsec
Real: mean = 0.000678821 sum of squares = 945.693
Imag: mean = -0.00191289 sum of squares = 930.26
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 = 2.91749 at (0.0, 0.0) arcsec
Real: mean = 0.000870978 sum of squares = 868.458
Imag: mean = -0.00243007 sum of squares = 1009.61
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 = 2.9257 at (0.0, 0.0) arcsec
Real: mean = 0.00127316 sum of squares = 839.698
Imag: mean = -0.0028691 sum of squares = 1040.96
Masking frequency index 0
Mask scale size = 3.0583
Masking frequency index 1
Mask scale size = 3.05837
Masking frequency index 2
Mask scale size = 3.05845
Masking frequency index 3
Mask scale size = 3.05853
Masking frequency index 4
Mask scale size = 3.0586
Masking frequency index 5
Mask scale size = 3.05868
Masking frequency index 6
Mask scale size = 3.05875
Masking frequency index 7
Mask scale size = 3.05883
Masking frequency index 8
Mask scale size = 3.05891
Masking frequency index 9
Mask scale size = 3.05898
Masking frequency index 10
Mask scale size = 3.05906
Masking frequency index 11
Mask scale size = 3.05914
Masking frequency index 12
Mask scale size = 3.05921
Masking frequency index 13
Mask scale size = 3.05929
Masking frequency index 14
Mask scale size = 3.05936
Masking frequency index 15
Mask scale size = 3.05944
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.234375
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0195312
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -0.72592 101.42
Freq 1: Shift, scale = -1.1656 99.958
Freq 2: Shift, scale = -1.6057 98.914
Freq 3: Shift, scale = -2.0445 98.416
Freq 4: Shift, scale = -2.4883 99.031
Freq 5: Shift, scale = -2.9415 100.03
Freq 6: Shift, scale = 2.8888 101.21
Freq 7: Shift, scale = 2.4427 102.57
Freq 8: Shift, scale = 2.0026 103.86
Freq 9: Shift, scale = 1.5695 104.63
Freq 10: Shift, scale = 1.1391 104.92
Freq 11: Shift, scale = 0.71369 105.16
Freq 12: Shift, scale = 0.28376 105.64
Freq 13: Shift, scale = -0.14828 104.8
Freq 14: Shift, scale = -0.58599 103.58
Freq 15: Shift, scale = -1.0197 101.88
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: -0.231 radians
x offset: -0.115 arcsec
y offset: 0.118 arcsec
defocus: 0.00423 mm
Estimated x pointing error is 1.585 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.82 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.844 mm (used 2.84 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.235 radians
x offset: -0.125 arcsec
y offset: 0.136 arcsec
defocus: 0.00101 mm
Estimated x pointing error is 1.575 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.84 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.841 mm (used 2.84 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.238 radians
x offset: -0.148 arcsec
y offset: 0.134 arcsec
defocus: 0.000761 mm
Estimated x pointing error is 1.552 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.83 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.841 mm (used 2.84 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.24 radians
x offset: -0.161 arcsec
y offset: 0.164 arcsec
defocus: -0.000243 mm
Estimated x pointing error is 1.539 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.86 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.84 mm (used 2.84 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.246 radians
x offset: -0.179 arcsec
y offset: 0.154 arcsec
defocus: 0.000218 mm
Estimated x pointing error is 1.521 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.85 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.84 mm (used 2.84 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.26 radians
x offset: -0.176 arcsec
y offset: 0.149 arcsec
defocus: 0.00298 mm
Estimated x pointing error is 1.524 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.85 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.843 mm (used 2.84 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.273 radians
x offset: -0.167 arcsec
y offset: 0.129 arcsec
defocus: 0.00608 mm
Estimated x pointing error is 1.533 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.83 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.846 mm (used 2.84 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.281 radians
x offset: -0.128 arcsec
y offset: 0.0877 arcsec
defocus: 0.0047 mm
Estimated x pointing error is 1.572 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.79 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.845 mm (used 2.84 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.283 radians
x offset: -0.0838 arcsec
y offset: 0.0909 arcsec
defocus: 0.00521 mm
Estimated x pointing error is 1.616 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.79 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.845 mm (used 2.84 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.28 radians
x offset: -0.0583 arcsec
y offset: 0.0761 arcsec
defocus: 0.002 mm
Estimated x pointing error is 1.642 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.78 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.842 mm (used 2.84 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.272 radians
x offset: -0.0271 arcsec
y offset: 0.055 arcsec
defocus: -0.000309 mm
Estimated x pointing error is 1.673 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.75 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.84 mm (used 2.84 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.26 radians
x offset: -0.0467 arcsec
y offset: 0.0394 arcsec
defocus: -0.00386 mm
Estimated x pointing error is 1.653 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.74 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.836 mm (used 2.84 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.251 radians
x offset: -0.0333 arcsec
y offset: 0.0048 arcsec
defocus: -0.00458 mm
Estimated x pointing error is 1.667 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.7 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.835 mm (used 2.84 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.244 radians
x offset: -0.0389 arcsec
y offset: 0.0252 arcsec
defocus: -0.00438 mm
Estimated x pointing error is 1.661 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.73 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.836 mm (used 2.84 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.242 radians
x offset: -0.0363 arcsec
y offset: 0.0529 arcsec
defocus: -0.00399 mm
Estimated x pointing error is 1.664 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.75 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.836 mm (used 2.84 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.235 radians
x offset: -0.0232 arcsec
y offset: 0.0661 arcsec
defocus: -0.000589 mm
Estimated x pointing error is 1.677 arcsec (used 1.7 arcsec)
Estimated y pointing error is 13.77 arcsec (used 13.7 arcsec)
Estimated defocus error is 2.839 mm (used 2.84 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 -0.00059 piston
1 1 -0.00752 tilt_x
1 -1 -0.01171 tilt_y
2 2 0.05295 astigmatism_0
2 0 -0.00138 curvature
2 -2 0.04267 astigmatism45
3 3 0.02632 trefoil_0
3 1 -0.03827 coma_x
3 -1 -0.04790 coma_y
3 -3 -0.02887 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 -0.00053 piston
1 1 -0.00664 tilt_x
1 -1 -0.01111 tilt_y
2 2 0.05268 astigmatism_0
2 0 -0.00106 curvature
2 -2 0.04179 astigmatism45
3 3 0.02539 trefoil_0
3 1 -0.03567 coma_x
3 -1 -0.04575 coma_y
3 -3 -0.02974 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 -0.00054 piston
1 1 -0.00556 tilt_x
1 -1 -0.01032 tilt_y
2 2 0.05354 astigmatism_0
2 0 -0.00092 curvature
2 -2 0.04221 astigmatism45
3 3 0.02150 trefoil_0
3 1 -0.03276 coma_x
3 -1 -0.04299 coma_y
3 -3 -0.03075 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 -0.00058 piston
1 1 -0.00470 tilt_x
1 -1 -0.00971 tilt_y
2 2 0.05379 astigmatism_0
2 0 -0.00093 curvature
2 -2 0.04110 astigmatism45
3 3 0.01844 trefoil_0
3 1 -0.03054 coma_x
3 -1 -0.04088 coma_y
3 -3 -0.03213 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 -0.00066 piston
1 1 -0.00442 tilt_x
1 -1 -0.00986 tilt_y
2 2 0.05412 astigmatism_0
2 0 -0.00129 curvature
2 -2 0.04104 astigmatism45
3 3 0.01490 trefoil_0
3 1 -0.03015 coma_x
3 -1 -0.04106 coma_y
3 -3 -0.03126 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 -0.00071 piston
1 1 -0.00394 tilt_x
1 -1 -0.01042 tilt_y
2 2 0.05433 astigmatism_0
2 0 -0.00147 curvature
2 -2 0.04023 astigmatism45
3 3 0.01338 trefoil_0
3 1 -0.02912 coma_x
3 -1 -0.04211 coma_y
3 -3 -0.03120 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 -0.00079 piston
1 1 -0.00429 tilt_x
1 -1 -0.01140 tilt_y
2 2 0.05608 astigmatism_0
2 0 -0.00181 curvature
2 -2 0.04078 astigmatism45
3 3 0.01472 trefoil_0
3 1 -0.03066 coma_x
3 -1 -0.04565 coma_y
3 -3 -0.03074 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 -0.00089 piston
1 1 -0.00510 tilt_x
1 -1 -0.01206 tilt_y
2 2 0.05613 astigmatism_0
2 0 -0.00228 curvature
2 -2 0.04199 astigmatism45
3 3 0.01766 trefoil_0
3 1 -0.03309 coma_x
3 -1 -0.04825 coma_y
3 -3 -0.02835 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 -0.00094 piston
1 1 -0.00551 tilt_x
1 -1 -0.01295 tilt_y
2 2 0.05769 astigmatism_0
2 0 -0.00254 curvature
2 -2 0.04230 astigmatism45
3 3 0.02101 trefoil_0
3 1 -0.03467 coma_x
3 -1 -0.05115 coma_y
3 -3 -0.02829 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 -0.00089 piston
1 1 -0.00603 tilt_x
1 -1 -0.01242 tilt_y
2 2 0.05858 astigmatism_0
2 0 -0.00258 curvature
2 -2 0.04303 astigmatism45
3 3 0.02110 trefoil_0
3 1 -0.03650 coma_x
3 -1 -0.05013 coma_y
3 -3 -0.02805 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 -0.00080 piston
1 1 -0.00644 tilt_x
1 -1 -0.01156 tilt_y
2 2 0.05816 astigmatism_0
2 0 -0.00235 curvature
2 -2 0.04228 astigmatism45
3 3 0.02237 trefoil_0
3 1 -0.03772 coma_x
3 -1 -0.04748 coma_y
3 -3 -0.02850 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 -0.00073 piston
1 1 -0.00666 tilt_x
1 -1 -0.01110 tilt_y
2 2 0.05911 astigmatism_0
2 0 -0.00217 curvature
2 -2 0.04140 astigmatism45
3 3 0.02292 trefoil_0
3 1 -0.03855 coma_x
3 -1 -0.04574 coma_y
3 -3 -0.02942 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 -0.00058 piston
1 1 -0.00632 tilt_x
1 -1 -0.01107 tilt_y
2 2 0.05867 astigmatism_0
2 0 -0.00159 curvature
2 -2 0.03993 astigmatism45
3 3 0.02022 trefoil_0
3 1 -0.03721 coma_x
3 -1 -0.04491 coma_y
3 -3 -0.02781 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 -0.00051 piston
1 1 -0.00611 tilt_x
1 -1 -0.01063 tilt_y
2 2 0.05836 astigmatism_0
2 0 -0.00117 curvature
2 -2 0.03927 astigmatism45
3 3 0.01658 trefoil_0
3 1 -0.03625 coma_x
3 -1 -0.04339 coma_y
3 -3 -0.02849 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 -0.00593 tilt_x
1 -1 -0.01025 tilt_y
2 2 0.05733 astigmatism_0
2 0 -0.00079 curvature
2 -2 0.03724 astigmatism45
3 3 0.01424 trefoil_0
3 1 -0.03520 coma_x
3 -1 -0.04164 coma_y
3 -3 -0.03115 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 -0.00515 tilt_x
1 -1 -0.01013 tilt_y
2 2 0.05645 astigmatism_0
2 0 -0.00052 curvature
2 -2 0.03569 astigmatism45
3 3 0.01179 trefoil_0
3 1 -0.03245 coma_x
3 -1 -0.04056 coma_y
3 -3 -0.03198 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: 25.9 20.9 21.4 23.9 24.5 26.3 42.8 30.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.1 18.6 20.6 22.4 23.1 24.2 40.5 28.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.53 6.6 8.3 8.68 8.81 10.8 16.5 11.1
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26 20.7 20.8 24.2 24.5 26.7 42.6 30.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.1 18.6 20 22.7 23.2 24.6 40.5 28.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.34 6.26 7.89 8.31 8.6 10.7 16.2 10.9
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.8 21 20.5 24.4 24.9 27.2 42.2 30.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26 18.8 19.8 23.1 23.6 25 40.5 29
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.12 5.85 7.43 7.93 8.47 10.7 16 10.7
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27 21.1 20.5 24.8 25 27.9 41.9 30.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.3 19.2 19.7 23.7 23.6 25.6 40.6 29.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.94 5.54 7.06 7.61 8.3 10.6 15.7 10.5
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.5 20.9 21.2 25.4 25 28.1 42.5 30.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 19 20.4 24.5 23.4 25.9 41.2 29.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.94 5.53 7.05 7.6 8.26 10.5 15.6 10.4
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29 21 21.8 26.1 25.1 28.3 42.5 30.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.2 19 21.1 25.4 23.6 26 41.4 29.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.95 5.55 7.07 7.61 8.23 10.5 15.5 10.4
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.2 20.8 22.5 27.1 24.9 27.8 43.1 31
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.5 18.6 21.8 26.3 23.4 25.3 41.9 29.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.17 5.95 7.55 8.04 8.53 10.7 16 10.8
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.7 21.3 22.3 26.6 24.4 27.8 43.5 31
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31 19.1 21.8 25.7 23 25.1 42 29.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.37 6.32 7.99 8.43 8.73 10.8 16.3 11
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.8 21.6 21.7 27.2 23.9 27 43.1 30.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30 19.1 21.2 25.8 22.6 24.2 41.1 28.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.56 6.66 8.4 8.81 9.02 11.1 16.8 11.4
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.4 21.5 19.8 26.8 23.8 26.5 43.2 30.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.6 19.1 19.3 25.2 22.5 23.8 40.9 28.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.57 6.69 8.44 8.88 9.11 11.2 17 11.5
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.3 21.6 20.4 26 23.8 26.2 42.7 30.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.5 19.1 19.7 24.3 22.8 23.7 40.2 28.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.49 6.54 8.26 8.72 9.01 11.2 16.9 11.4
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.8 21.7 20.5 25.1 23.7 25.8 42.8 30
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 19.3 19.7 23.4 22.8 23.5 40.3 28.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.45 6.46 8.17 8.64 9.01 11.2 17 11.4
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.1 21.3 21 24.1 24 25.5 42.4 30
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.4 18.9 20.2 22.5 23.1 23.5 39.9 28.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.36 6.3 7.97 8.44 8.79 11 16.5 11.1
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.5 20.8 21.2 23.4 24.1 25.7 42 30
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 18.6 20.3 21.9 23.1 23.6 40 28.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.26 6.11 7.75 8.23 8.64 10.8 16.2 10.9
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 20.2 21.4 22.9 24.7 26.2 41.8 30.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25 18.2 20.5 21.6 23.6 23.9 40.3 28.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.14 5.9 7.48 7.96 8.41 10.6 15.9 10.6
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.4 19.8 21.1 23.1 24.7 27 41.5 30.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 17.9 20.1 22 23.5 24.7 40.3 29
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3 5.63 7.14 7.63 8.17 10.4 15.5 10.4
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 19.6 18.6 21.8 22.9 25.4 41 28.6
Mean deviation is 0.62411446868681508 microns
Taper = 10 dB, Ruze illumination-weighted rms = 27.3 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 = 24.1 micron
Centre pixel: 64.0 64.0 Value = 2762.84 (estimate), 3426.12 (perfect)
Strehl = 0.650291
Strehl ratio estimate = 0.6503
Estimating beam: f = 900GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 900 GHz Ruze rms = 23.5 micron
Centre pixel: 64.0 64.0 Value = 2314.19 (estimate), 3426.12 (perfect)
Strehl = 0.45624
Strehl ratio estimate = 0.4562
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 -9.8 -9.2 -13.9 19.3
2 1 2 3.1 -11.3 24.0 26.7
3 1 3 30.8 8.1 -7.9 32.8
4 1 4 35.3 4.0 4.5 35.8
5 1 5 13.7 12.9 58.0 61.0
6 1 6 37.7 23.3 30.3 53.7
7 1 7 9.4 39.4 32.9 52.1
8 1 8 9.0 38.6 50.3 64.0
9 1 9 -35.9 14.6 14.0 41.2
10 1 10 7.0 22.0 16.4 28.3
11 1 11 25.1 24.3 12.4 37.1
12 1 12 16.3 1.2 -2.2 16.5
13 2 1 -2.8 -25.5 -23.9 35.1
14 2 2 -8.5 -10.0 -16.5 21.1
15 2 3 11.0 -27.2 -32.2 43.6
16 2 4 8.9 -12.2 -8.9 17.6
17 2 5 21.3 -3.8 24.1 32.4
18 2 6 10.9 29.5 41.5 52.1
19 2 7 -7.4 12.8 20.0 24.9
20 2 8 37.2 18.7 -1.4 41.7
21 2 9 27.2 5.0 19.8 34.0
22 2 10 28.5 10.8 15.7 34.2
23 2 11 19.4 3.4 0.8 19.7
24 2 12 11.0 2.5 -4.0 12.0
25 2 13 25.9 13.1 -2.4 29.1
26 2 14 13.4 -6.5 11.0 18.5
27 2 15 33.8 0.8 -13.1 36.3
28 2 16 30.8 4.8 1.7 31.2
29 2 17 21.9 6.7 -2.1 23.0
30 2 18 14.7 13.8 -2.8 20.4
31 2 19 8.4 -6.4 -6.2 12.3
32 2 20 21.6 -11.5 -3.1 24.6
33 2 21 18.6 5.9 -22.4 29.7
34 2 22 15.3 -39.5 -40.8 58.8
35 2 23 24.1 -23.1 -24.6 41.5
36 2 24 -0.4 -29.5 -27.9 40.6
37 3 1 -22.6 -0.5 -22.0 31.5
38 3 2 -9.2 -12.9 -21.5 26.8
39 3 3 -10.4 -13.8 -28.0 32.9
40 3 4 -1.2 -1.4 7.2 7.4
41 3 5 -20.3 10.4 -10.2 25.0
42 3 6 -20.5 -2.3 -3.2 20.9
43 3 7 -2.8 -4.2 -22.0 22.6
44 3 8 -0.1 12.5 7.2 14.4
45 3 9 24.6 1.3 -8.2 25.9
46 3 10 15.8 15.4 -1.8 22.2
47 3 11 30.8 18.5 3.8 36.2
48 3 12 14.8 43.9 6.3 46.7
49 3 13 -13.6 31.6 10.8 36.1
50 3 14 15.2 13.4 6.2 21.2
51 3 15 5.9 16.3 17.3 24.5
52 3 16 29.8 21.9 17.3 40.8
53 3 17 32.4 26.5 5.4 42.2
54 3 18 29.4 20.7 18.3 40.4
55 3 19 26.2 18.3 -19.7 37.6
56 3 20 8.9 13.8 -2.0 16.5
57 3 21 7.6 6.0 -15.3 18.1
58 3 22 0.3 -3.4 -10.8 11.3
59 3 23 4.2 0.8 -10.6 11.4
60 3 24 -10.4 1.7 -17.9 20.8
61 3 25 -5.7 -0.9 -3.7 6.9
62 3 26 -6.5 1.9 -2.1 7.1
63 3 27 -6.1 -2.6 -13.8 15.3
64 3 28 24.0 7.7 -18.8 31.4
65 3 29 17.7 8.4 -6.2 20.5
66 3 30 12.1 -8.9 -23.9 28.2
67 3 31 2.7 3.6 -10.3 11.2
68 3 32 8.1 9.7 -13.0 18.1
69 3 33 19.5 10.2 12.0 25.0
70 3 34 24.1 11.4 15.1 30.7
71 3 35 35.5 13.9 -16.0 41.3
72 3 36 20.5 14.5 -3.7 25.4
73 3 37 5.8 11.5 -39.6 41.6
74 3 38 16.2 19.8 -12.0 28.3
75 3 39 18.4 7.0 -17.3 26.2
76 3 40 15.7 11.7 -17.8 26.4
77 3 41 10.5 17.6 -4.6 21.0
78 3 42 0.8 5.2 -8.3 9.8
79 3 43 -12.3 2.3 -6.7 14.2
80 3 44 17.2 8.2 -10.4 21.7
81 3 45 8.5 0.3 -6.8 10.9
82 3 46 -3.4 -6.5 -17.6 19.1
83 3 47 -7.4 -13.4 -18.6 24.1
84 3 48 -21.9 -3.1 -45.2 50.4
85 4 1 14.6 -27.8 -16.1 35.3
86 4 2 -18.5 -36.9 -33.7 53.3
87 4 3 -19.4 -30.1 -53.9 64.8
88 4 4 -7.4 -9.7 -72.7 73.7
89 4 5 5.9 -2.2 -34.3 34.8
90 4 6 12.1 -3.3 -24.4 27.4
91 4 7 10.4 -3.8 -0.8 11.1
92 4 8 -7.7 12.8 -25.5 29.6
93 4 9 9.1 6.1 -5.3 12.2
94 4 10 -14.9 6.0 -16.2 22.8
95 4 11 -3.5 12.0 4.5 13.2
96 4 12 3.0 24.5 -1.1 24.7
97 4 13 -2.0 4.4 42.0 42.2
98 4 14 3.6 19.0 6.9 20.6
99 4 15 4.7 -0.2 6.9 8.3
100 4 16 -8.1 22.5 7.5 25.1
101 4 17 8.6 17.0 -13.8 23.5
102 4 18 25.0 -7.7 -0.1 26.2
103 4 19 -2.7 -8.2 -20.8 22.5
104 4 20 -2.2 -4.9 -28.7 29.2
105 4 21 -4.6 -10.6 -13.2 17.6
106 4 22 -51.4 -10.4 5.5 52.8
107 4 23 -35.2 -29.0 -8.3 46.4
108 4 24 19.1 4.8 13.0 23.6
109 4 25 3.6 5.2 34.2 34.8
110 4 26 -18.4 -3.2 9.7 21.0
111 4 27 -17.3 -6.1 -6.0 19.3
112 4 28 -16.8 -23.0 -3.8 28.7
113 4 29 -41.8 -11.3 -68.2 80.7
114 4 30 -31.0 -28.9 -15.2 45.0
115 4 31 -31.0 -28.5 -19.5 46.4
116 4 32 -29.8 -0.2 -30.5 42.6
117 4 33 -21.7 0.0 -3.0 21.9
118 4 34 7.0 -6.1 -15.9 18.4
119 4 35 -26.4 9.6 -26.0 38.3
120 4 36 -23.6 0.6 -16.0 28.5
121 4 37 17.2 11.1 -3.7 20.8
122 4 38 -2.5 -2.0 2.4 4.0
123 4 39 -10.4 0.5 6.3 12.2
124 4 40 6.3 -1.3 -5.7 8.6
125 4 41 -13.5 24.6 -15.6 32.1
126 4 42 0.7 -10.8 -21.9 24.4
127 4 43 -7.6 -14.0 -21.9 27.1
128 4 44 -16.4 4.1 -18.3 24.9
129 4 45 -7.2 -7.6 -33.7 35.3
130 4 46 -22.1 -26.9 -35.3 49.6
131 4 47 -30.0 -40.7 -81.7 96.1
132 4 48 -21.3 -33.4 -32.6 51.3
133 5 1 -20.9 5.6 -2.6 21.8
134 5 2 11.9 12.9 -33.4 37.7
135 5 3 -39.8 2.2 -40.6 56.9
136 5 4 -22.2 -13.8 -11.8 28.7
137 5 5 -23.1 -14.9 -39.1 47.9
138 5 6 -7.0 -5.0 -39.7 40.6
139 5 7 -1.8 7.9 -3.3 8.8
140 5 8 2.8 24.3 -20.9 32.2
141 5 9 5.2 8.9 6.8 12.4
142 5 10 -2.0 26.5 -1.9 26.6
143 5 11 13.3 18.6 -2.6 23.0
144 5 12 -7.1 38.8 2.7 39.5
145 5 13 -4.3 20.2 6.0 21.5
146 5 14 17.7 43.7 -12.8 48.9
147 5 15 13.7 31.7 14.7 37.6
148 5 16 4.6 25.4 -1.2 25.9
149 5 17 -8.5 20.5 29.2 36.7
150 5 18 0.3 -12.1 201.0 201.4
151 5 19 -27.8 -13.0 -20.9 37.1
152 5 20 -25.9 2.5 -22.6 34.5
153 5 21 -8.9 8.5 -5.5 13.5
154 5 22 -13.8 20.9 -19.7 31.9
155 5 23 -3.3 15.7 -16.3 22.9
156 5 24 16.2 6.4 -2.3 17.5
157 5 25 13.5 7.8 -6.6 17.0
158 5 26 -1.1 18.1 -19.2 26.4
159 5 27 4.5 30.0 -14.0 33.4
160 5 28 0.4 -7.6 3.4 8.3
161 5 29 -9.1 0.3 -26.3 27.8
162 5 30 -14.7 -26.7 -10.9 32.4
163 5 31 -22.7 -21.3 -27.5 41.5
164 5 32 -30.3 -21.2 -12.2 39.0
165 5 33 3.0 -8.8 0.6 9.4
166 5 34 -18.4 -5.2 -4.3 19.6
167 5 35 -0.9 20.1 -1.3 20.2
168 5 36 -3.0 11.4 -10.1 15.5
169 5 37 10.2 28.6 -20.8 36.9
170 5 38 1.0 19.1 -18.5 26.6
171 5 39 -3.2 60.7 -53.5 81.0
172 5 40 -9.1 18.9 -12.5 24.4
173 5 41 15.1 26.0 6.7 30.8
174 5 42 -10.8 -10.5 -21.8 26.5
175 5 43 -13.7 -4.0 -39.7 42.2
176 5 44 -5.4 4.1 -32.9 33.6
177 5 45 3.8 2.5 -29.9 30.3
178 5 46 -18.8 -11.3 45.7 50.7
179 5 47 12.4 9.7 -42.6 45.5
180 5 48 -20.8 9.2 -18.0 29.0
181 6 1 -22.3 -15.6 -41.3 49.5
182 6 2 -24.4 -20.8 -53.7 62.5
183 6 3 2.8 -29.5 -32.6 44.1
184 6 4 -40.3 -18.4 -58.6 73.5
185 6 5 -19.2 -16.8 -50.0 56.2
186 6 6 -16.7 -7.6 -35.4 39.9
187 6 7 -10.3 -15.2 -41.0 44.9
188 6 8 -14.8 10.0 -28.9 34.0
189 6 9 12.6 4.9 38.7 41.0
190 6 10 26.7 11.6 20.4 35.6
191 6 11 11.3 5.7 -17.2 21.4
192 6 12 3.3 24.2 -13.1 27.7
193 6 13 8.4 24.0 -22.1 33.7
194 6 14 -3.1 9.7 -27.8 29.6
195 6 15 15.4 -5.1 8.9 18.5
196 6 16 8.4 15.3 27.6 32.6
197 6 17 -29.1 -0.2 -26.2 39.2
198 6 18 -13.3 2.8 -91.3 92.3
199 6 19 -0.3 -11.9 9.5 15.2
200 6 20 -10.5 14.1 25.1 30.6
201 6 21 -54.6 0.9 -74.0 92.0
202 6 22 20.3 -11.1 -3.5 23.4
203 6 23 -8.7 -9.3 26.4 29.3
204 6 24 -21.6 3.0 -0.3 21.8
205 6 25 -37.5 1.2 -37.3 52.9
206 6 26 -29.1 -7.3 -13.6 33.0
207 6 27 -27.7 -10.8 -6.8 30.5
208 6 28 -4.6 36.4 172.1 176.0
209 6 29 -62.8 24.9 -26.1 72.4
210 6 30 -46.7 -11.1 38.9 61.8
211 6 31 -29.9 -13.3 -3.9 32.9
212 6 32 -37.1 -37.3 -7.9 53.2
213 6 33 7.6 -18.1 142.9 144.2
214 6 34 63.3 2.2 43.6 76.9
215 6 35 5.1 -0.5 29.3 29.7
216 6 36 -6.7 37.1 29.4 47.8
217 6 37 -5.3 30.6 38.5 49.5
218 6 38 16.2 14.1 7.1 22.6
219 6 39 39.1 12.3 47.3 62.5
220 6 40 -10.6 39.8 40.6 57.8
221 6 41 -8.8 35.1 0.7 36.2
222 6 42 11.6 10.7 32.1 35.8
223 6 43 -8.4 1.9 34.1 35.1
224 6 44 -15.7 16.2 14.4 26.8
225 6 45 -14.2 19.7 75.5 79.3
226 6 46 19.3 -6.5 41.2 46.0
227 6 47 -26.0 -17.6 -36.1 47.9
228 6 48 -24.0 -17.2 -16.2 33.7
229 7 1 -46.6 49.0 1.3 67.6
230 7 2 -44.8 -1.7 -25.6 51.6
231 7 3 -36.7 -0.5 -14.4 39.4
232 7 4 -23.6 34.9 13.8 44.4
233 7 5 -33.3 -7.4 5.8 34.6
234 7 6 -32.9 29.5 -9.6 45.3
235 7 7 -30.8 17.5 -4.3 35.7
236 7 8 -17.8 41.5 -8.6 46.0
237 7 9 43.5 13.5 52.3 69.4
238 7 10 20.0 43.1 12.4 49.1
239 7 11 14.6 30.0 -10.2 34.9
240 7 12 16.4 50.5 26.4 59.3
241 7 13 -20.1 44.2 -2.0 48.6
242 7 14 3.1 49.0 6.7 49.6
243 7 15 3.9 19.9 -6.3 21.2
244 7 16 42.8 64.1 -28.4 82.2
245 7 17 12.1 3.4 7.1 14.4
246 7 18 -7.6 38.8 -27.6 48.3
247 7 19 11.9 25.1 -2.1 27.9
248 7 20 8.2 -20.9 -2.8 22.7
249 7 21 16.5 86.8 -7.4 88.7
250 7 22 -42.1 -185.2 -41.1 194.3
251 7 23 -1.7 1.2 -17.5 17.6
252 7 24 -37.5 37.2 19.2 56.2
253 7 25 -58.7 35.3 20.1 71.4
254 7 26 -24.3 31.6 -2.4 39.9
255 7 27 -14.9 18.8 -1.6 24.0
256 7 28 -43.6 29.5 291.9 296.6
257 7 29 -0.2 22.1 -19.0 29.1
258 7 30 -13.5 -21.8 -38.5 46.2
259 7 31 -39.9 -8.8 -62.1 74.3
260 7 32 -17.5 3.7 -55.8 58.6
261 7 33 6.5 -200.3 58.8 208.9
262 7 34 4.7 9.6 -46.5 47.7
263 7 35 19.5 32.4 -15.3 40.8
264 7 36 14.8 46.9 -1.9 49.2
265 7 37 27.4 61.1 23.4 71.0
266 7 38 29.9 45.9 -15.6 57.0
267 7 39 62.1 60.9 10.7 87.7
268 7 40 82.4 166.6 -14.4 186.4
269 7 41 34.8 54.5 54.3 84.5
270 7 42 37.4 48.9 25.8 66.7
271 7 43 -15.4 59.5 5.6 61.7
272 7 44 24.2 54.2 43.0 73.3
273 7 45 10.0 -11.6 81.9 83.3
274 7 46 12.5 45.8 43.1 64.2
275 7 47 11.5 56.0 3.0 57.3
276 7 48 4.1 161.5 51.0 169.4
Creating sector-motor-move file
sector motor steps
1 1 4
1 2 10
1 3 -7
1 4 -17
1 5 -5
1 6 -12
1 7 -4
1 8 0
1 9 -11
1 10 -10
1 11 -9
1 12 0
1 13 -7
1 14 0
1 15 -13
1 16 -16
1 17 -6
1 18 -7
1 19 0
1 20 15
1 21 -14
1 22 -12
1 23 -4
1 24 -6
1 25 -3
1 26 -4
1 27 -6
1 28 -22
1 29 -2
1 30 -2
1 31 -12
1 32 0
1 33 -12
1 34 -16
1 35 -9
1 36 -5
1 37 -10
1 38 3
1 39 3
1 40 -10
1 41 -11
1 42 -5
1 43 0
1 44 1
1 45 -6
1 46 -4
1 47 -8
1 48 4
1 49 -8
1 50 -4
1 51 -3
1 52 -5
1 53 -3
1 54 -2
1 55 -6
1 56 -3
1 57 -2
1 58 -2
1 59 -3
1 60 -4
1 61 -6
1 62 0
1 63 -6
1 64 -8
1 65 0
1 66 -7
1 67 2
1 68 0
1 69 0
2 1 -2
2 2 12
2 3 -5
2 4 -8
2 5 3
2 6 -4
2 7 -1
2 8 5
2 9 -9
2 10 -12
2 11 -4
2 12 -3
2 13 -2
2 14 9
2 15 -10
2 16 -10
2 17 -2
2 18 -5
2 19 1
2 20 -2
2 21 -10
2 22 -15
2 23 -5
2 24 -5
2 25 -6
2 26 7
2 27 0
2 28 -7
2 29 3
2 30 -2
2 31 -1
2 32 2
2 33 0
2 34 0
2 35 -1
2 36 3
2 37 -12
2 38 -1
2 39 -2
2 40 -7
2 41 -1
2 42 3
2 43 -12
2 44 -4
2 45 -7
2 46 -10
2 47 0
2 48 1
2 49 -6
2 50 -1
2 51 0
2 52 -2
2 53 -3
2 54 2
2 55 0
2 56 0
2 57 -6
2 58 -3
2 59 0
2 60 7
2 61 -3
2 62 3
2 63 -6
2 64 -1
2 65 3
2 66 -9
2 67 2
2 68 3
2 69 0
3 1 8
3 2 15
3 3 5
3 4 -4
3 5 7
3 6 1
3 7 -3
3 8 9
3 9 4
3 10 -5
3 11 1
3 12 3
3 13 3
3 14 13
3 15 6
3 16 6
3 17 3
3 18 8
3 19 16
3 20 4
3 21 13
3 22 11
3 23 1
3 24 3
3 25 0
3 26 11
3 27 -2
3 28 0
3 29 7
3 30 0
3 31 0
3 32 5
3 33 4
3 34 1
3 35 3
3 36 -1
3 37 0
3 38 8
3 39 0
3 40 -4
3 41 1
3 42 -4
3 43 2
3 44 2
3 45 1
3 46 -1
3 47 1
3 48 2
3 49 1
3 50 5
3 51 9
3 52 12
3 53 9
3 54 3
3 55 0
3 56 4
3 57 4
3 58 2
3 59 9
3 60 -2
3 61 -2
3 62 0
3 63 7
3 64 3
3 65 6
3 66 7
3 67 1
3 68 13
3 69 4
4 1 -8
4 2 19
4 3 13
4 4 8
4 5 4
4 6 2
4 7 -1
4 8 6
4 9 1
4 10 2
4 11 -1
4 12 4
4 13 2
4 14 15
4 15 0
4 16 -8
4 17 2
4 18 0
4 19 0
4 20 13
4 21 -6
4 22 -6
4 23 7
4 24 2
4 25 0
4 26 7
4 27 1
4 28 2
4 29 6
4 30 -2
4 31 4
4 32 9
4 33 4
4 34 2
4 35 0
4 36 1
4 37 -3
4 38 13
4 39 5
4 40 2
4 41 5
4 42 1
4 43 1
4 44 6
4 45 -1
4 46 12
4 47 1
4 48 0
4 49 5
4 50 5
4 51 1
4 52 0
4 53 5
4 54 11
4 55 1
4 56 4
4 57 4
4 58 1
4 59 10
4 60 1
4 61 3
4 62 9
4 63 -4
4 64 1
4 65 -2
4 66 6
4 67 5
4 68 6
4 69 9
5 1 0
5 2 -6
5 3 2
5 4 7
5 5 4
5 6 -3
5 7 0
5 8 7
5 9 3
5 10 2
5 11 -3
5 12 0
5 13 -8
5 14 11
5 15 -2
5 16 -28
5 17 0
5 18 -4
5 19 2
5 20 1
5 21 3
5 22 -8
5 23 0
5 24 -8
5 25 -6
5 26 0
5 27 -7
5 28 -8
5 29 -1
5 30 0
5 31 -6
5 32 -3
5 33 -8
5 34 -6
5 35 -2
5 36 0
5 37 61
5 38 -3
5 39 0
5 40 0
5 41 -2
5 42 7
5 43 8
5 44 6
5 45 -2
5 46 -4
5 47 5
5 48 2
5 49 -6
5 50 5
5 51 8
5 52 4
5 53 3
5 54 8
5 55 5
5 56 6
5 57 9
5 58 3
5 59 4
5 60 17
5 61 1
5 62 8
5 63 9
5 64 1
5 65 8
5 66 6
5 67 0
5 68 4
5 69 2
6 1 5
6 2 11
6 3 -11
6 4 0
6 5 0
6 6 -6
6 7 -5
6 8 0
6 9 0
6 10 8
6 11 -2
6 12 -2
6 13 -12
6 14 -56
6 15 -12
6 16 -1
6 17 -3
6 18 6
6 19 -2
6 20 26
6 21 5
6 22 -22
6 23 0
6 24 -16
6 25 0
6 26 1
6 27 4
6 28 3
6 29 1
6 30 5
6 31 -4
6 32 4
6 33 -1
6 34 -2
6 35 -8
6 36 -10
6 37 -6
6 38 6
6 39 -4
6 40 1
6 41 -3
6 42 -15
6 43 -1
6 44 2
6 45 -2
6 46 -4
6 47 -3
6 48 -1
6 49 -3
6 50 0
6 51 1
6 52 -1
6 53 0
6 54 3
6 55 -3
6 56 -1
6 57 0
6 58 7
6 59 11
6 60 9
6 61 -4
6 62 1
6 63 2
6 64 4
6 65 5
6 66 0
6 67 -5
6 68 0
6 69 -3
7 1 89
7 2 9
7 3 -13
7 4 52
7 5 11
7 6 -1
7 7 0
7 8 5
7 9 -4
7 10 -2
7 11 -3
7 12 -8
7 13 0
7 14 9
7 15 -7
7 16 -4
7 17 -2
7 18 -8
7 19 6
7 20 10
7 21 -18
7 22 -11
7 23 0
7 24 -11
7 25 1
7 26 -2
7 27 0
7 28 -1
7 29 -7
7 30 -5
7 31 -4
7 32 9
7 33 1
7 34 -1
7 35 -1
7 36 -5
7 37 -5
7 38 5
7 39 0
7 40 2
7 41 0
7 42 -5
7 43 -2
7 44 2
7 45 4
7 46 10
7 47 1
7 48 1
7 49 -4
7 50 0
7 51 -1
7 52 3
7 53 -1
7 54 4
7 55 0
7 56 0
7 57 -2
7 58 12
7 59 2
7 60 10
7 61 -1
7 62 0
7 63 -1
7 64 0
7 65 7
7 66 0
7 67 -5
7 68 2
7 69 7
8 1 -17
8 2 1
8 3 -5
8 4 -2
8 5 -11
8 6 -11
8 7 -19
8 8 -2
8 9 -12
8 10 -1
8 11 -4
8 12 -9
8 13 -11
8 14 -6
8 15 -4
8 16 11
8 17 -3
8 18 -14
8 19 -5
8 20 6
8 21 0
8 22 -8
8 23 7
8 24 -19
8 25 -3
8 26 -6
8 27 -9
8 28 -9
8 29 0
8 30 -9
8 31 -8
8 32 -6
8 33 -6
8 34 -5
8 35 -8
8 36 -9
8 37 -3
8 38 -8
8 39 -4
8 40 -4
8 41 -8
8 42 -9
8 43 -8
8 44 0
8 45 -2
8 46 -20
8 47 -3
8 48 -12
8 49 -3
8 50 1
8 51 0
8 52 0
8 53 1
8 54 9
8 55 -7
8 56 -2
8 57 3
8 58 11
8 59 2
8 60 15
8 61 -1
8 62 2
8 63 5
8 64 2
8 65 10
8 66 -4
8 67 -3
8 68 2
8 69 2
9 1 0
9 2 14
9 3 4
9 4 9
9 5 11
9 6 -2
9 7 -4
9 8 9
9 9 5
9 10 8
9 11 0
9 12 1
9 13 -14
9 14 2
9 15 1
9 16 13
9 17 0
9 18 19
9 19 18
9 20 -61
9 21 2
9 22 43
9 23 -5
9 24 2
9 25 -3
9 26 3
9 27 0
9 28 -4
9 29 0
9 30 -7
9 31 0
9 32 6
9 33 0
9 34 -7
9 35 2
9 36 -8
9 37 -1
9 38 -1
9 39 -5
9 40 -4
9 41 -1
9 42 2
9 43 0
9 44 -2
9 45 0
9 46 0
9 47 0
9 48 -6
9 49 -4
9 50 4
9 51 10
9 52 0
9 53 4
9 54 4
9 55 4
9 56 3
9 57 7
9 58 4
9 59 -11
9 60 4
9 61 3
9 62 3
9 63 5
9 64 -1
9 65 6
9 66 0
9 67 -1
9 68 4
9 69 6
10 1 -4
10 2 51
10 3 25
10 4 12
10 5 12
10 6 -3
10 7 3
10 8 18
10 9 19
10 10 14
10 11 3
10 12 11
10 13 -4
10 14 14
10 15 9
10 16 2
10 17 4
10 18 4
10 19 7
10 20 18
10 21 8
10 22 11
10 23 9
10 24 -1
10 25 -3
10 26 5
10 27 -2
10 28 -1
10 29 0
10 30 1
10 31 -16
10 32 18
10 33 0
10 34 1
10 35 0
10 36 -3
10 37 -5
10 38 5
10 39 0
10 40 0
10 41 0
10 42 0
10 43 -6
10 44 8
10 45 3
10 46 -1
10 47 3
10 48 5
10 49 -5
10 50 2
10 51 5
10 52 0
10 53 -3
10 54 6
10 55 -3
10 56 6
10 57 4
10 58 6
10 59 2
10 60 5
10 61 -12
10 62 3
10 63 1
10 64 1
10 65 2
10 66 -1
10 67 -5
10 68 3
10 69 4
11 1 13
11 2 16
11 3 7
11 4 4
11 5 4
11 6 -4
11 7 1
11 8 18
11 9 -4
11 10 10
11 11 0
11 12 -2
11 13 7
11 14 14
11 15 11
11 16 9
11 17 3
11 18 3
11 19 16
11 20 16
11 21 10
11 22 0
11 23 10
11 24 -2
11 25 -10
11 26 1
11 27 -1
11 28 -5
11 29 1
11 30 -5
11 31 -12
11 32 -1
11 33 -4
11 34 -6
11 35 -4
11 36 -2
11 37 -6
11 38 -3
11 39 -3
11 40 -6
11 41 -3
11 42 0
11 43 2
11 44 7
11 45 4
11 46 -4
11 47 7
11 48 -4
11 49 -2
11 50 0
11 51 -3
11 52 -12
11 53 -12
11 54 4
11 55 -2
11 56 1
11 57 0
11 58 7
11 59 7
11 60 3
11 61 -1
11 62 5
11 63 3
11 64 -7
11 65 5
11 66 -6
11 67 -3
11 68 2
11 69 5
12 1 15
12 2 49
12 3 1
12 4 -4
12 5 -5
12 6 -7
12 7 0
12 8 17
12 9 3
12 10 -11
12 11 -5
12 12 -7
12 13 13
12 14 14
12 15 3
12 16 12
12 17 -1
12 18 5
12 19 25
12 20 -3
12 21 3
12 22 23
12 23 6
12 24 -4
12 25 -5
12 26 2
12 27 -6
12 28 -9
12 29 -10
12 30 -6
12 31 -13
12 32 2
12 33 3
12 34 -25
12 35 -12
12 36 -9
12 37 14
12 38 -3
12 39 -5
12 40 -10
12 41 -8
12 42 -6
12 43 -9
12 44 0
12 45 1
12 46 -10
12 47 -2
12 48 -2
12 49 -5
12 50 -4
12 51 -2
12 52 -8
12 53 -9
12 54 0
12 55 -5
12 56 -1
12 57 -1
12 58 0
12 59 4
12 60 0
12 61 -2
12 62 0
12 63 2
12 64 -7
12 65 7
12 66 -7
12 67 -13
12 68 0
12 69 -6
Adjuster movements: rms = 30.4 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050421-230700
Creating HTML output file of plots
Plotting summary text