![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20041111-230959.fits
Reduced on 20041115-164151 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: reverse=1
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 | reverse=1 |
| data.directory | /net/moana/export/data/janw/rxh3 |
| data.filename | rxh3-20041111-230959.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -7.54 |
| data.pointing_offset_y | 11.52 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.89 |
| 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 | 0.033890000000000003 |
| 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: 20041115-164151
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041111-230959.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 = 2402.6 max = 2428.5 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.890 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 -3.09326 3.10059 -0.02298
loimag -3.24951 3.14697 0.00232
hireal -5.00000 4.99756 -0.34078
hiimag -5.00000 4.99756 -0.14184
xpos -2428.29778 2428.46440 -3.42779
ypos -2402.75669 2402.58129 -0.02608
plock160 0.72754 2.15088 1.49723
lorefpwr 0.30518 1.65527 1.23158
losigpwr -4.56543 -0.17090 -4.38497
hirefpwr 0.37109 1.68701 1.28303
hisigpwr -4.47266 4.99756 -0.78404
encltemp 31.56738 32.81250 32.08100
flags 0.00000 256.00000 2.76738
phi-lock -1.39160 -0.03662 -0.73775
sindex 0.00000 128.00000 63.61104
time 0.00000 2045.00999 1016.12452
zeropt -0.00732 -0.00244 -0.00488
!!!Warning!!! philock max less than 0.2
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 129 rows
There are 121 data rows and 8 calibrator rows
Calibrator rows: 0 21 42 63 84 105 126 128
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 40.00611 arcsec
Mean row spacing = 40.00612 arcsec (alternate estimator)
Mean tracking incline = 0.44007 arcsec
Mean pointing range = 1.48512 arcsec
Mean pointing rms = 0.28692 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-7.54, 11.52 ) 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: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22675 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22675 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 = 2428.46 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 = 2.96034 at (0.0, 0.0) arcsec
Real: mean = 0.00137521 sum of squares = 1036.7
Imag: mean = -0.00151408 sum of squares = 848.489
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 = 2.95094 at (0.0, 0.0) arcsec
Real: mean = 0.00123058 sum of squares = 987.277
Imag: mean = -0.00187109 sum of squares = 897.526
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 = 2.94261 at (0.0, 0.0) arcsec
Real: mean = 0.00128988 sum of squares = 910.238
Imag: mean = -0.00238323 sum of squares = 974.799
Gridding frequency index 3
lambda = 0.00373136 metres, scale = 0.00129929 radians per metre
Gridding real part of frequency 3...
Gridding imag part of frequency 3...
Pattern is holo(res.pattern3)
Weights in holo(obs.real,wt3) and holo(obs.imag,wt3)
Maximum amplitude = 2.96232 at (0.0, 0.0) arcsec
Real: mean = 0.00170698 sum of squares = 852.777
Imag: mean = -0.00281857 sum of squares = 1032.04
Gridding frequency index 4
lambda = 0.00373127 metres, scale = 0.00129933 radians per metre
Gridding real part of frequency 4...
Gridding imag part of frequency 4...
Pattern is holo(res.pattern4)
Weights in holo(obs.real,wt4) and holo(obs.imag,wt4)
Maximum amplitude = 2.98486 at (0.0, 0.0) arcsec
Real: mean = 0.00227983 sum of squares = 857.75
Imag: mean = -0.00290696 sum of squares = 1029.18
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 = 3.03433 at (0.0, 0.0) arcsec
Real: mean = 0.00271801 sum of squares = 926.985
Imag: mean = -0.00273546 sum of squares = 964.555
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 = 3.07909 at (0.0, 0.0) arcsec
Real: mean = 0.00297283 sum of squares = 1013.82
Imag: mean = -0.0025182 sum of squares = 883.985
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 = 3.12042 at (0.0, 0.0) arcsec
Real: mean = 0.00323018 sum of squares = 1055.38
Imag: mean = -0.00225444 sum of squares = 848.218
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 = 3.13167 at (0.0, 0.0) arcsec
Real: mean = 0.0034426 sum of squares = 1019.13
Imag: mean = -0.00189478 sum of squares = 890.565
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 = 3.13723 at (0.0, 0.0) arcsec
Real: mean = 0.00351833 sum of squares = 934.312
Imag: mean = -0.00136597 sum of squares = 979.032
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 = 3.10837 at (0.0, 0.0) arcsec
Real: mean = 0.00317863 sum of squares = 867.94
Imag: mean = -0.000821086 sum of squares = 1047.71
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 = 3.08975 at (0.0, 0.0) arcsec
Real: mean = 0.00253029 sum of squares = 867.597
Imag: mean = -0.000632022 sum of squares = 1050.08
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 = 3.0433 at (0.0, 0.0) arcsec
Real: mean = 0.00205828 sum of squares = 935.846
Imag: mean = -0.000841483 sum of squares = 983.728
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 = 3.01945 at (0.0, 0.0) arcsec
Real: mean = 0.00191172 sum of squares = 1021.2
Imag: mean = -0.00113404 sum of squares = 901.761
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 = 2.98962 at (0.0, 0.0) arcsec
Real: mean = 0.00176803 sum of squares = 1061.79
Imag: mean = -0.00126244 sum of squares = 864.301
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 = 3.00491 at (0.0, 0.0) arcsec
Real: mean = 0.00155492 sum of squares = 1035.81
Imag: mean = -0.00154434 sum of squares = 893.887
Masking frequency index 0
Mask scale size = 3.059
Masking frequency index 1
Mask scale size = 3.05908
Masking frequency index 2
Mask scale size = 3.05915
Masking frequency index 3
Mask scale size = 3.05923
Masking frequency index 4
Mask scale size = 3.0593
Masking frequency index 5
Mask scale size = 3.05938
Masking frequency index 6
Mask scale size = 3.05946
Masking frequency index 7
Mask scale size = 3.05953
Masking frequency index 8
Mask scale size = 3.05961
Masking frequency index 9
Mask scale size = 3.05968
Masking frequency index 10
Mask scale size = 3.05976
Masking frequency index 11
Mask scale size = 3.05984
Masking frequency index 12
Mask scale size = 3.05991
Masking frequency index 13
Mask scale size = 3.05999
Masking frequency index 14
Mask scale size = 3.06007
Masking frequency index 15
Mask scale size = 3.06014
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.17334
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0146484
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 0.54618 106.82
Freq 1: Shift, scale = 0.11527 106.76
Freq 2: Shift, scale = -0.32068 106.07
Freq 3: Shift, scale = -0.75639 104.57
Freq 4: Shift, scale = -1.1935 102.7
Freq 5: Shift, scale = -1.6312 100.82
Freq 6: Shift, scale = -2.0721 99.819
Freq 7: Shift, scale = -2.5136 99.674
Freq 8: Shift, scale = -2.9597 100.72
Freq 9: Shift, scale = 2.8764 102.2
Freq 10: Shift, scale = 2.431 104.15
Freq 11: Shift, scale = 1.9877 105.74
Freq 12: Shift, scale = 1.5522 107.1
Freq 13: Shift, scale = 1.1189 108.07
Freq 14: Shift, scale = 0.68519 108.45
Freq 15: Shift, scale = 0.25345 108
Calculating phase corrections for index 0
Calculating phase corrections for index 1
Calculating phase corrections for index 2
Calculating phase corrections for index 3
Calculating phase corrections for index 4
Calculating phase corrections for index 5
Calculating phase corrections for index 6
Calculating phase corrections for index 7
Calculating phase corrections for index 8
Calculating phase corrections for index 9
Calculating phase corrections for index 10
Calculating phase corrections for index 11
Calculating phase corrections for index 12
Calculating phase corrections for index 13
Calculating phase corrections for index 14
Calculating phase corrections for index 15
Apply near field corrections for frequency 0
Apply secondary diffraction correction for frequency 0
Apply near field corrections for frequency 1
Apply secondary diffraction correction for frequency 1
Apply near field corrections for frequency 2
Apply secondary diffraction correction for frequency 2
Apply near field corrections for frequency 3
Apply secondary diffraction correction for frequency 3
Apply near field corrections for frequency 4
Apply secondary diffraction correction for frequency 4
Apply near field corrections for frequency 5
Apply secondary diffraction correction for frequency 5
Apply near field corrections for frequency 6
Apply secondary diffraction correction for frequency 6
Apply near field corrections for frequency 7
Apply secondary diffraction correction for frequency 7
Apply near field corrections for frequency 8
Apply secondary diffraction correction for frequency 8
Apply near field corrections for frequency 9
Apply secondary diffraction correction for frequency 9
Apply near field corrections for frequency 10
Apply secondary diffraction correction for frequency 10
Apply near field corrections for frequency 11
Apply secondary diffraction correction for frequency 11
Apply near field corrections for frequency 12
Apply secondary diffraction correction for frequency 12
Apply near field corrections for frequency 13
Apply secondary diffraction correction for frequency 13
Apply near field corrections for frequency 14
Apply secondary diffraction correction for frequency 14
Apply near field corrections for frequency 15
Apply secondary diffraction correction for frequency 15
Fitting piston, pointing and defocus terms
Fitting frequency 0
Minimiser fit code = 1
piston: -0.216 radians
x offset: 0.0907 arcsec
y offset: 0.0339 arcsec
defocus: -0.00872 mm
Estimated x pointing error is -7.449 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.55 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.881 mm (used 2.89 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.208 radians
x offset: 0.0964 arcsec
y offset: 0.0638 arcsec
defocus: -0.00746 mm
Estimated x pointing error is -7.444 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.58 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.883 mm (used 2.89 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.205 radians
x offset: 0.0932 arcsec
y offset: 0.0725 arcsec
defocus: -0.00649 mm
Estimated x pointing error is -7.447 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.59 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.884 mm (used 2.89 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.204 radians
x offset: 0.104 arcsec
y offset: 0.0742 arcsec
defocus: -0.00892 mm
Estimated x pointing error is -7.436 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.59 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.881 mm (used 2.89 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.205 radians
x offset: 0.0879 arcsec
y offset: 0.056 arcsec
defocus: -0.0123 mm
Estimated x pointing error is -7.452 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.58 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.878 mm (used 2.89 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.208 radians
x offset: 0.0725 arcsec
y offset: 0.0542 arcsec
defocus: -0.0164 mm
Estimated x pointing error is -7.468 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.57 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.874 mm (used 2.89 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.212 radians
x offset: 0.0585 arcsec
y offset: 0.0441 arcsec
defocus: -0.0179 mm
Estimated x pointing error is -7.482 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.56 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.872 mm (used 2.89 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.215 radians
x offset: 0.0404 arcsec
y offset: 0.0341 arcsec
defocus: -0.0178 mm
Estimated x pointing error is -7.5 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.55 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.872 mm (used 2.89 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.223 radians
x offset: 0.0362 arcsec
y offset: 0.0218 arcsec
defocus: -0.0161 mm
Estimated x pointing error is -7.504 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.54 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.874 mm (used 2.89 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.232 radians
x offset: 0.0447 arcsec
y offset: 0.0193 arcsec
defocus: -0.0153 mm
Estimated x pointing error is -7.495 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.54 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.875 mm (used 2.89 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.237 radians
x offset: 0.0962 arcsec
y offset: 0.00523 arcsec
defocus: -0.0121 mm
Estimated x pointing error is -7.444 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.53 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.878 mm (used 2.89 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.241 radians
x offset: 0.143 arcsec
y offset: -0.00705 arcsec
defocus: -0.0102 mm
Estimated x pointing error is -7.397 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.51 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.88 mm (used 2.89 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.239 radians
x offset: 0.182 arcsec
y offset: -0.0177 arcsec
defocus: -0.0107 mm
Estimated x pointing error is -7.358 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.5 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.879 mm (used 2.89 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.235 radians
x offset: 0.207 arcsec
y offset: -0.0306 arcsec
defocus: -0.0138 mm
Estimated x pointing error is -7.333 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.49 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.876 mm (used 2.89 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.231 radians
x offset: 0.22 arcsec
y offset: -0.0383 arcsec
defocus: -0.0166 mm
Estimated x pointing error is -7.32 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.48 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.873 mm (used 2.89 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.225 radians
x offset: 0.195 arcsec
y offset: -0.0499 arcsec
defocus: -0.0201 mm
Estimated x pointing error is -7.345 arcsec (used -7.54 arcsec)
Estimated y pointing error is 11.47 arcsec (used 11.52 arcsec)
Estimated defocus error is 2.87 mm (used 2.89 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 0.00074 piston
1 1 0.00058 tilt_x
1 -1 -0.00495 tilt_y
2 2 0.06468 astigmatism_0
2 0 0.00236 curvature
2 -2 0.03544 astigmatism45
3 3 0.02532 trefoil_0
3 1 -0.00733 coma_x
3 -1 -0.02740 coma_y
3 -3 0.00736 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 0.00078 piston
1 1 -0.00004 tilt_x
1 -1 -0.00483 tilt_y
2 2 0.06659 astigmatism_0
2 0 0.00248 curvature
2 -2 0.03472 astigmatism45
3 3 0.02641 trefoil_0
3 1 -0.00929 coma_x
3 -1 -0.02664 coma_y
3 -3 0.00576 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 0.00087 piston
1 1 0.00001 tilt_x
1 -1 -0.00429 tilt_y
2 2 0.06697 astigmatism_0
2 0 0.00278 curvature
2 -2 0.03377 astigmatism45
3 3 0.02594 trefoil_0
3 1 -0.00897 coma_x
3 -1 -0.02431 coma_y
3 -3 0.00521 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 0.00089 piston
1 1 0.00044 tilt_x
1 -1 -0.00363 tilt_y
2 2 0.06534 astigmatism_0
2 0 0.00302 curvature
2 -2 0.03354 astigmatism45
3 3 0.02571 trefoil_0
3 1 -0.00720 coma_x
3 -1 -0.02197 coma_y
3 -3 0.00709 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 0.00089 piston
1 1 0.00080 tilt_x
1 -1 -0.00282 tilt_y
2 2 0.06281 astigmatism_0
2 0 0.00317 curvature
2 -2 0.03381 astigmatism45
3 3 0.02401 trefoil_0
3 1 -0.00553 coma_x
3 -1 -0.01938 coma_y
3 -3 0.00897 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 0.00090 piston
1 1 0.00197 tilt_x
1 -1 -0.00243 tilt_y
2 2 0.06137 astigmatism_0
2 0 0.00337 curvature
2 -2 0.03347 astigmatism45
3 3 0.02360 trefoil_0
3 1 -0.00188 coma_x
3 -1 -0.01802 coma_y
3 -3 0.01208 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 0.00092 piston
1 1 0.00265 tilt_x
1 -1 -0.00262 tilt_y
2 2 0.06066 astigmatism_0
2 0 0.00341 curvature
2 -2 0.03384 astigmatism45
3 3 0.02229 trefoil_0
3 1 0.00009 coma_x
3 -1 -0.01877 coma_y
3 -3 0.01479 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 0.00297 tilt_x
1 -1 -0.00292 tilt_y
2 2 0.06131 astigmatism_0
2 0 0.00320 curvature
2 -2 0.03386 astigmatism45
3 3 0.02207 trefoil_0
3 1 0.00067 coma_x
3 -1 -0.01980 coma_y
3 -3 0.01569 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 0.00086 piston
1 1 0.00299 tilt_x
1 -1 -0.00335 tilt_y
2 2 0.06411 astigmatism_0
2 0 0.00287 curvature
2 -2 0.03397 astigmatism45
3 3 0.02282 trefoil_0
3 1 0.00007 coma_x
3 -1 -0.02132 coma_y
3 -3 0.01477 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 0.00081 piston
1 1 0.00250 tilt_x
1 -1 -0.00368 tilt_y
2 2 0.06547 astigmatism_0
2 0 0.00253 curvature
2 -2 0.03365 astigmatism45
3 3 0.02343 trefoil_0
3 1 -0.00187 coma_x
3 -1 -0.02236 coma_y
3 -3 0.01298 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 0.00083 piston
1 1 0.00274 tilt_x
1 -1 -0.00373 tilt_y
2 2 0.06823 astigmatism_0
2 0 0.00248 curvature
2 -2 0.03296 astigmatism45
3 3 0.02327 trefoil_0
3 1 -0.00172 coma_x
3 -1 -0.02238 coma_y
3 -3 0.01156 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 0.00081 piston
1 1 0.00253 tilt_x
1 -1 -0.00327 tilt_y
2 2 0.06965 astigmatism_0
2 0 0.00243 curvature
2 -2 0.03282 astigmatism45
3 3 0.02376 trefoil_0
3 1 -0.00255 coma_x
3 -1 -0.02083 coma_y
3 -3 0.00992 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 0.00086 piston
1 1 0.00215 tilt_x
1 -1 -0.00295 tilt_y
2 2 0.06970 astigmatism_0
2 0 0.00254 curvature
2 -2 0.03296 astigmatism45
3 3 0.02241 trefoil_0
3 1 -0.00341 coma_x
3 -1 -0.01978 coma_y
3 -3 0.00992 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 0.00093 piston
1 1 0.00171 tilt_x
1 -1 -0.00300 tilt_y
2 2 0.06898 astigmatism_0
2 0 0.00274 curvature
2 -2 0.03270 astigmatism45
3 3 0.02150 trefoil_0
3 1 -0.00443 coma_x
3 -1 -0.01978 coma_y
3 -3 0.01034 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 0.00103 piston
1 1 0.00164 tilt_x
1 -1 -0.00340 tilt_y
2 2 0.06725 astigmatism_0
2 0 0.00307 curvature
2 -2 0.03251 astigmatism45
3 3 0.02036 trefoil_0
3 1 -0.00410 coma_x
3 -1 -0.02109 coma_y
3 -3 0.01172 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 0.00106 piston
1 1 0.00088 tilt_x
1 -1 -0.00360 tilt_y
2 2 0.06465 astigmatism_0
2 0 0.00325 curvature
2 -2 0.03137 astigmatism45
3 3 0.02004 trefoil_0
3 1 -0.00557 coma_x
3 -1 -0.02149 coma_y
3 -3 0.01313 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: 29.6 19.7 24 33.6 37.9 56.5 90.9 56
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.8 19.5 23.4 32.5 37.1 54.5 89.9 54.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.67 3.29 4.63 5.95 7.91 10.9 15.3 9.93
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.7 19.7 24.1 33.3 37.9 56.5 91.2 56.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.9 19.4 23.4 32.2 37.2 54.4 90.2 55.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.66 3.29 4.64 5.99 8.03 11.1 15.6 10.1
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.4 19.5 23.9 33.2 38.2 56.5 90.5 55.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.6 19.2 23.3 32.2 37.6 54.4 89.5 54.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.53 3.07 4.41 5.81 7.95 11.1 15.5 10
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.6 19 23.9 33 38.5 56 89.7 55.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.8 18.8 23.2 32.1 37.8 54 88.7 54.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.38 2.8 4.11 5.56 7.76 10.9 15.1 9.76
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.3 18.5 23.8 32.8 38.7 55.7 89.6 55.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.5 18.4 23.1 32 37.9 53.7 88.7 54.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.21 2.51 3.79 5.29 7.5 10.6 14.6 9.41
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.5 18.4 23.8 32.8 38.8 55.7 91.2 56.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.7 18.4 23.1 32.1 38 53.8 90.4 55.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.09 2.31 3.58 5.12 7.36 10.4 14.4 9.24
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.7 18.5 24.1 33.2 38.6 55.8 92.2 56.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.8 18.4 23.4 32.5 37.7 53.9 91.4 55.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.13 2.36 3.63 5.15 7.34 10.3 14.3 9.22
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.3 18.8 24.8 33.8 38.4 56.1 92.9 56.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.5 18.7 24.2 33.2 37.4 54.1 92.1 55.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.19 2.46 3.74 5.25 7.42 10.4 14.5 9.32
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.1 19.3 25.4 34.3 38.2 56.1 93 56.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.2 19.2 24.7 33.5 37.3 54 92.2 55.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.27 2.62 3.94 5.46 7.68 10.8 15 9.65
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.5 19.6 25.5 34.2 38 56.2 92.8 56.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.7 19.5 24.9 33.4 37.1 54.1 91.9 55.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.34 2.73 4.06 5.57 7.78 10.9 15.2 9.78
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.2 19.4 25.3 33.8 37.9 56.1 91.9 56.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.4 19.3 24.7 32.9 37.1 53.9 90.9 55.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.34 2.75 4.11 5.66 7.96 11.2 15.5 10
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.5 19.4 24.4 34.2 37.9 56.2 91.1 55.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.7 19.2 23.9 33.3 37.1 53.9 90 54.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.26 2.63 4.01 5.63 8.03 11.3 15.7 10.1
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.1 19.5 23.4 33.9 38.1 55.9 90.6 55.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.2 19.3 22.9 33 37.4 53.7 89.5 54.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.21 2.55 3.93 5.57 8.01 11.3 15.6 10.1
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.8 19.5 23.3 33.2 38.4 56.1 90.5 55.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30 19.3 22.8 32.3 37.7 53.9 89.4 54.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.22 2.56 3.93 5.54 7.93 11.2 15.5 9.95
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.3 19.5 23.7 32.5 38.6 55.7 91.2 55.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 19.3 23.1 31.7 37.9 53.7 90 54.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.29 2.66 3.99 5.52 7.79 11 15.2 9.79
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.9 19.5 23.9 32.1 38.6 55.6 91.8 56.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29 19.4 23.2 31.3 37.9 53.7 90.8 55.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.32 2.7 3.98 5.42 7.55 10.6 14.7 9.49
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 17.6 22.7 31.9 37.5 55.3 90.5 55.2
Mean deviation is 0.5542531818261186 microns
Taper = 10 dB, Ruze illumination-weighted rms = 50.8 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 = 32.9 micron
Centre pixel: 64.0 64.0 Value = 2291.21 (estimate), 3426.12 (perfect)
Strehl = 0.447224
Strehl ratio estimate = 0.4472
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 = 29.7 micron
Centre pixel: 64.0 64.0 Value = 1829.1 (estimate), 3426.12 (perfect)
Strehl = 0.285016
Strehl ratio estimate = 0.285
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 2.3 9.6 17.6 20.1
2 1 2 9.8 21.1 21.8 31.9
3 1 3 24.1 26.8 -25.3 44.0
4 1 4 10.6 -7.8 -12.8 18.4
5 1 5 -9.7 18.4 55.6 59.4
6 1 6 -11.4 15.4 21.5 28.8
7 1 7 -12.7 23.1 43.9 51.2
8 1 8 -19.3 43.5 55.9 73.4
9 1 9 -76.4 -3.7 12.0 77.5
10 1 10 -5.5 8.6 34.6 36.1
11 1 11 26.8 21.5 30.1 45.7
12 1 12 9.0 17.6 16.6 25.8
13 2 1 16.6 -7.0 -8.2 19.8
14 2 2 13.4 -5.1 -17.0 22.2
15 2 3 30.6 -28.1 -26.6 49.3
16 2 4 17.2 -22.2 -13.8 31.3
17 2 5 22.7 -6.3 6.9 24.5
18 2 6 2.2 25.1 13.1 28.4
19 2 7 -4.7 1.0 5.8 7.6
20 2 8 15.8 7.0 11.8 20.9
21 2 9 25.7 -3.4 -0.6 26.0
22 2 10 10.9 4.6 2.7 12.2
23 2 11 10.3 -5.3 0.3 11.6
24 2 12 3.9 8.4 -3.3 9.8
25 2 13 3.2 5.7 6.8 9.4
26 2 14 7.5 -14.6 8.1 18.3
27 2 15 26.3 -11.2 -21.0 35.4
28 2 16 31.1 -7.1 2.4 32.0
29 2 17 21.4 -6.0 -4.2 22.6
30 2 18 5.1 16.3 -1.5 17.2
31 2 19 5.5 -8.5 -9.9 14.2
32 2 20 21.6 -29.1 -7.2 36.9
33 2 21 21.5 2.0 -0.6 21.6
34 2 22 31.5 -12.8 -8.6 35.1
35 2 23 34.6 -9.5 -15.8 39.2
36 2 24 26.5 -27.6 -29.5 48.3
37 3 1 -14.8 -5.3 1.3 15.8
38 3 2 -5.6 -21.6 -2.1 22.4
39 3 3 3.7 -10.7 -28.2 30.4
40 3 4 -8.7 -12.9 1.7 15.7
41 3 5 -5.8 -3.8 -6.5 9.5
42 3 6 -26.1 -7.6 8.3 28.4
43 3 7 -27.7 -10.3 -12.5 32.1
44 3 8 -17.7 -14.3 -3.7 23.1
45 3 9 10.0 -15.5 -4.5 19.0
46 3 10 -7.7 7.2 -3.9 11.3
47 3 11 5.9 7.6 -1.3 9.7
48 3 12 -5.1 17.8 -1.0 18.6
49 3 13 -10.2 11.9 25.1 29.6
50 3 14 14.2 17.7 16.0 27.8
51 3 15 -6.2 14.1 6.1 16.6
52 3 16 1.4 4.0 14.4 15.0
53 3 17 13.8 8.1 15.5 22.2
54 3 18 16.5 11.3 15.5 25.3
55 3 19 11.6 12.1 -2.9 17.0
56 3 20 15.0 8.1 -3.5 17.4
57 3 21 15.4 3.9 -5.0 16.7
58 3 22 3.9 -3.3 -3.3 6.1
59 3 23 -6.9 8.3 4.3 11.6
60 3 24 -19.3 0.5 20.2 27.9
61 3 25 -17.8 -5.4 22.6 29.3
62 3 26 -38.0 9.5 4.4 39.4
63 3 27 -7.0 -4.0 -2.8 8.5
64 3 28 17.0 24.7 -9.6 31.5
65 3 29 21.3 15.4 -3.8 26.5
66 3 30 -5.7 0.1 -11.3 12.6
67 3 31 -1.8 7.8 10.3 13.0
68 3 32 16.3 14.6 -0.5 21.9
69 3 33 11.2 11.7 17.2 23.7
70 3 34 9.0 5.3 10.2 14.6
71 3 35 45.8 13.2 -9.5 48.7
72 3 36 12.5 7.4 2.9 14.8
73 3 37 6.1 4.2 -23.9 25.1
74 3 38 3.1 11.2 -18.9 22.2
75 3 39 4.6 16.1 -1.8 16.8
76 3 40 46.7 3.4 5.9 47.2
77 3 41 11.8 -1.2 -5.0 12.9
78 3 42 -12.7 11.7 6.8 18.6
79 3 43 -10.5 9.5 18.3 23.1
80 3 44 33.6 -3.5 -18.2 38.4
81 3 45 14.8 1.4 0.5 14.9
82 3 46 34.9 -5.1 -25.4 43.5
83 3 47 15.4 -22.5 -6.6 28.1
84 3 48 -18.7 -6.7 -17.9 26.7
85 4 1 61.4 -3.3 -59.3 85.4
86 4 2 -7.2 -33.4 -95.3 101.2
87 4 3 -23.2 -18.1 -39.1 48.9
88 4 4 -9.8 -27.4 -50.5 58.3
89 4 5 0.2 -10.4 -29.2 31.0
90 4 6 2.5 -9.3 -25.8 27.5
91 4 7 18.3 -10.7 -9.9 23.4
92 4 8 -2.8 5.0 -19.2 20.0
93 4 9 -8.3 -11.2 -17.9 22.7
94 4 10 -6.7 12.1 -25.1 28.6
95 4 11 -27.5 19.2 -1.3 33.6
96 4 12 3.3 20.4 -15.9 26.0
97 4 13 9.1 -1.8 37.0 38.2
98 4 14 -0.0 20.3 15.0 25.3
99 4 15 2.3 9.4 12.5 15.8
100 4 16 -3.7 13.8 19.1 23.8
101 4 17 10.9 19.5 10.7 24.8
102 4 18 21.0 1.7 28.2 35.2
103 4 19 -0.6 -1.9 -11.7 11.9
104 4 20 -0.9 -5.4 -6.3 8.4
105 4 21 3.5 -19.7 -1.8 20.1
106 4 22 -13.3 -1.2 7.1 15.1
107 4 23 -43.9 -11.9 -57.2 73.1
108 4 24 24.4 4.9 -5.1 25.4
109 4 25 -0.2 3.2 27.7 27.9
110 4 26 -63.5 36.0 -19.2 75.5
111 4 27 -6.9 -11.2 -3.3 13.6
112 4 28 11.6 -25.3 -6.7 28.6
113 4 29 5.9 5.3 -30.3 31.3
114 4 30 -21.2 5.6 -16.6 27.4
115 4 31 -7.1 2.5 0.7 7.5
116 4 32 -4.7 12.5 -2.8 13.6
117 4 33 -10.0 9.4 15.1 20.4
118 4 34 10.6 11.1 -2.1 15.5
119 4 35 -54.0 16.9 -26.3 62.4
120 4 36 -15.7 -6.3 1.8 17.0
121 4 37 16.0 -1.4 -11.8 19.9
122 4 38 -19.8 2.6 0.3 20.0
123 4 39 3.4 15.5 -4.5 16.5
124 4 40 -17.3 -3.3 -1.1 17.6
125 4 41 -0.0 15.1 11.5 19.0
126 4 42 41.6 -2.6 -13.5 43.8
127 4 43 -6.0 0.5 -3.8 7.2
128 4 44 -11.6 29.8 -4.1 32.2
129 4 45 -1.6 -19.4 -23.9 30.8
130 4 46 -13.5 9.7 -5.2 17.4
131 4 47 -0.5 -32.8 -169.4 172.6
132 4 48 45.5 -12.5 -66.5 81.5
133 5 1 -24.6 11.3 -9.9 28.9
134 5 2 34.4 9.3 -17.3 39.6
135 5 3 -55.6 -24.7 -7.2 61.2
136 5 4 -14.7 -10.0 -0.1 17.7
137 5 5 -24.9 -14.8 -7.7 30.0
138 5 6 -9.2 -2.7 -29.4 30.9
139 5 7 -3.7 2.0 -4.5 6.2
140 5 8 -7.7 2.6 -13.7 16.0
141 5 9 -2.7 0.2 7.7 8.2
142 5 10 -13.3 22.4 -0.3 26.1
143 5 11 12.0 4.7 5.2 13.9
144 5 12 -11.4 17.7 23.6 31.6
145 5 13 5.6 22.6 22.1 32.1
146 5 14 16.9 42.9 -3.6 46.3
147 5 15 15.6 34.0 30.3 48.2
148 5 16 14.7 21.7 13.0 29.3
149 5 17 6.1 14.3 8.1 17.5
150 5 18 14.0 -4.7 199.6 200.1
151 5 19 -6.5 -4.3 -5.6 9.6
152 5 20 -7.4 -3.2 -14.6 16.7
153 5 21 -2.3 -13.4 -14.4 19.8
154 5 22 -13.6 13.6 11.9 22.7
155 5 23 -20.0 11.8 -40.4 46.6
156 5 24 -7.3 -31.0 -40.1 51.2
157 5 25 -1.5 -29.4 -44.4 53.3
158 5 26 -14.6 22.9 -35.3 44.6
159 5 27 1.4 18.5 77.6 79.8
160 5 28 17.9 -27.5 -10.6 34.5
161 5 29 10.7 4.5 -45.4 46.8
162 5 30 -2.3 -5.9 2.9 7.0
163 5 31 -12.3 -1.9 -10.9 16.6
164 5 32 -2.9 -1.4 -1.9 3.8
165 5 33 30.3 -21.9 19.1 42.0
166 5 34 -0.4 17.1 17.2 24.3
167 5 35 3.6 16.2 -39.4 42.7
168 5 36 2.1 11.7 -19.3 22.6
169 5 37 -2.1 8.7 -0.8 9.0
170 5 38 15.5 8.8 -25.0 30.7
171 5 39 -0.8 47.3 -42.6 63.7
172 5 40 5.4 2.9 -13.9 15.2
173 5 41 -0.6 4.7 -14.7 15.4
174 5 42 -27.8 2.5 -15.6 32.0
175 5 43 -9.8 23.8 -60.7 66.0
176 5 44 14.8 -7.1 -23.7 28.8
177 5 45 -4.8 -0.2 -6.1 7.7
178 5 46 -28.2 -15.4 162.1 165.2
179 5 47 41.0 -6.2 -6.0 41.9
180 5 48 -9.7 13.5 -3.7 17.1
181 6 1 -19.2 -36.9 -50.1 65.1
182 6 2 3.5 -32.1 -70.8 77.8
183 6 3 39.7 -24.7 -8.6 47.6
184 6 4 -69.9 -17.6 -67.2 98.6
185 6 5 -10.9 -13.3 -17.7 24.7
186 6 6 -9.6 -11.3 -29.2 32.7
187 6 7 -4.4 -18.2 -18.9 26.6
188 6 8 -20.9 -6.5 -23.7 32.3
189 6 9 10.3 -9.6 53.8 55.6
190 6 10 31.1 14.4 20.8 40.1
191 6 11 -4.3 22.7 -3.4 23.3
192 6 12 10.7 30.1 7.1 32.7
193 6 13 18.2 27.6 22.8 40.2
194 6 14 2.6 24.4 12.2 27.4
195 6 15 34.6 18.0 35.0 52.4
196 6 16 21.7 7.6 33.8 40.9
197 6 17 -6.7 5.1 0.6 8.4
198 6 18 -3.8 -5.5 3.7 7.6
199 6 19 -13.1 -13.7 18.4 26.4
200 6 20 15.2 -10.4 1.8 18.5
201 6 21 -79.2 -7.3 -55.9 97.3
202 6 22 22.6 -59.2 -2.2 63.4
203 6 23 -41.6 -42.5 1.3 59.5
204 6 24 -52.2 -34.2 4.9 62.6
205 6 25 -59.2 -34.9 -8.5 69.2
206 6 26 -53.3 -50.5 6.6 73.8
207 6 27 15.6 -73.4 0.3 75.1
208 6 28 -180.9 209.0 652.8 708.9
209 6 29 -37.3 -40.3 6.5 55.3
210 6 30 -55.8 -2.7 42.9 70.5
211 6 31 -5.8 -33.4 15.7 37.4
212 6 32 -8.8 -16.7 -7.8 20.4
213 6 33 1.5 -4.9 119.5 119.6
214 6 34 49.5 15.6 45.1 68.7
215 6 35 -26.5 21.4 29.7 45.2
216 6 36 -10.2 41.9 50.2 66.2
217 6 37 -8.2 29.2 37.8 48.5
218 6 38 -12.4 14.1 -1.1 18.8
219 6 39 29.8 13.7 16.4 36.6
220 6 40 -45.2 24.4 19.4 55.0
221 6 41 -8.2 18.7 8.0 21.9
222 6 42 -1.4 -13.1 35.7 38.1
223 6 43 20.3 -18.3 31.7 41.9
224 6 44 -27.2 37.2 20.1 50.3
225 6 45 -142.4 36.2 78.6 166.6
226 6 46 72.9 -7.7 67.2 99.4
227 6 47 9.3 -29.4 -58.7 66.3
228 6 48 -40.2 -36.6 -45.6 71.0
229 7 1 1.6 15.4 -43.5 46.2
230 7 2 -0.3 -14.4 -56.6 58.4
231 7 3 -35.5 -5.2 -7.8 36.7
232 7 4 0.9 13.4 3.5 13.9
233 7 5 -4.4 -23.1 36.2 43.1
234 7 6 -2.3 24.8 10.7 27.1
235 7 7 -24.2 16.7 22.0 36.7
236 7 8 2.9 28.3 -59.6 66.1
237 7 9 32.7 -13.6 68.0 76.7
238 7 10 34.7 29.0 31.7 55.2
239 7 11 17.8 31.8 -0.9 36.4
240 7 12 19.1 42.3 28.0 54.2
241 7 13 26.0 48.3 42.2 69.2
242 7 14 29.6 52.8 35.2 70.1
243 7 15 -10.5 30.1 14.3 34.9
244 7 16 55.0 69.4 6.8 88.8
245 7 17 9.4 -6.7 24.8 27.3
246 7 18 8.7 9.5 -6.8 14.6
247 7 19 2.2 3.2 8.8 9.6
248 7 20 -6.7 -28.4 21.9 36.5
249 7 21 9.2 34.7 54.6 65.4
250 7 22 -1.3 8.5 35.0 36.0
251 7 23 15.0 12.3 -53.6 57.0
252 7 24 43.3 -26.9 -46.8 69.2
253 7 25 45.1 -20.5 -46.2 67.7
254 7 26 27.5 31.1 -171.0 175.9
255 7 27 62.1 8.4 71.3 94.9
256 7 28 -91.1 -354.3 557.8 667.0
257 7 29 -23.3 55.1 -111.3 126.3
258 7 30 -19.5 -17.0 -28.6 38.6
259 7 31 10.0 -7.6 -37.1 39.2
260 7 32 7.0 -12.5 -16.5 21.8
261 7 33 36.4 -245.3 71.0 258.0
262 7 34 29.1 29.3 -28.4 50.1
263 7 35 37.4 37.6 0.8 53.1
264 7 36 53.5 34.1 23.4 67.6
265 7 37 36.8 40.5 15.4 56.9
266 7 38 34.4 35.5 -13.5 51.2
267 7 39 37.8 30.8 16.1 51.3
268 7 40 61.3 121.2 13.1 136.4
269 7 41 35.4 16.9 61.7 73.2
270 7 42 53.5 12.4 38.4 67.0
271 7 43 -29.2 26.1 1.5 39.2
272 7 44 -7.7 -10.9 20.4 24.4
273 7 45 118.9 100.4 -137.2 207.5
274 7 46 -50.7 69.3 111.1 140.4
275 7 47 58.6 73.1 -50.1 106.2
276 7 48 51.2 138.7 -20.4 149.2
Creating sector-motor-move file
sector motor steps
1 1 1
1 2 4
1 3 0
1 4 -20
1 5 -5
1 6 -21
1 7 -2
1 8 -1
1 9 -10
1 10 -2
1 11 -7
1 12 12
1 13 -17
1 14 -4
1 15 0
1 16 -21
1 17 -9
1 18 1
1 19 -13
1 20 4
1 21 0
1 22 -15
1 23 -11
1 24 -5
1 25 0
1 26 -3
1 27 -4
1 28 -15
1 29 -8
1 30 -3
1 31 -2
1 32 -7
1 33 -17
1 34 -11
1 35 -5
1 36 -7
1 37 -5
1 38 2
1 39 10
1 40 -29
1 41 -10
1 42 -2
1 43 -3
1 44 3
1 45 -7
1 46 -18
1 47 -1
1 48 18
1 49 -8
1 50 -3
1 51 1
1 52 -5
1 53 -1
1 54 4
1 55 0
1 56 -6
1 57 -1
1 58 2
1 59 0
1 60 5
1 61 0
1 62 -1
1 63 -4
1 64 -8
1 65 5
1 66 -2
1 67 0
1 68 -3
1 69 -2
2 1 -18
2 2 8
2 3 0
2 4 -7
2 5 -1
2 6 -6
2 7 6
2 8 5
2 9 -7
2 10 -5
2 11 -5
2 12 -1
2 13 3
2 14 7
2 15 0
2 16 -8
2 17 -3
2 18 -2
2 19 11
2 20 -7
2 21 -1
2 22 -5
2 23 -4
2 24 -3
2 25 -4
2 26 0
2 27 -2
2 28 -5
2 29 1
2 30 0
2 31 -1
2 32 0
2 33 -1
2 34 -3
2 35 -3
2 36 5
2 37 -9
2 38 0
2 39 -2
2 40 -7
2 41 -2
2 42 0
2 43 -2
2 44 -4
2 45 -7
2 46 -8
2 47 -3
2 48 0
2 49 -3
2 50 -3
2 51 -8
2 52 -4
2 53 -6
2 54 5
2 55 2
2 56 -2
2 57 -8
2 58 6
2 59 3
2 60 6
2 61 -1
2 62 -1
2 63 -1
2 64 -1
2 65 9
2 66 -8
2 67 -1
2 68 -4
2 69 -5
3 1 8
3 2 12
3 3 5
3 4 2
3 5 9
3 6 3
3 7 0
3 8 9
3 9 5
3 10 -1
3 11 6
3 12 -1
3 13 9
3 14 8
3 15 10
3 16 6
3 17 4
3 18 9
3 19 20
3 20 -4
3 21 10
3 22 16
3 23 -2
3 24 3
3 25 7
3 26 5
3 27 -3
3 28 -4
3 29 6
3 30 1
3 31 1
3 32 1
3 33 3
3 34 0
3 35 5
3 36 -8
3 37 0
3 38 6
3 39 -4
3 40 -7
3 41 3
3 42 -2
3 43 2
3 44 0
3 45 0
3 46 -5
3 47 -3
3 48 -2
3 49 0
3 50 2
3 51 1
3 52 4
3 53 7
3 54 0
3 55 -1
3 56 2
3 57 -2
3 58 8
3 59 7
3 60 -7
3 61 -1
3 62 -4
3 63 3
3 64 0
3 65 6
3 66 2
3 67 0
3 68 5
3 69 -1
4 1 2
4 2 21
4 3 16
4 4 10
4 5 2
4 6 6
4 7 4
4 8 9
4 9 -3
4 10 10
4 11 5
4 12 10
4 13 10
4 14 16
4 15 9
4 16 3
4 17 7
4 18 0
4 19 12
4 20 14
4 21 7
4 22 7
4 23 8
4 24 5
4 25 4
4 26 6
4 27 4
4 28 5
4 29 4
4 30 -1
4 31 9
4 32 10
4 33 4
4 34 3
4 35 2
4 36 0
4 37 -1
4 38 13
4 39 5
4 40 4
4 41 6
4 42 0
4 43 6
4 44 6
4 45 1
4 46 11
4 47 0
4 48 2
4 49 1
4 50 4
4 51 -1
4 52 3
4 53 2
4 54 4
4 55 4
4 56 5
4 57 4
4 58 -2
4 59 3
4 60 -3
4 61 7
4 62 3
4 63 -3
4 64 -1
4 65 -1
4 66 1
4 67 4
4 68 1
4 69 0
5 1 6
5 2 -8
5 3 -2
5 4 0
5 5 -3
5 6 4
5 7 2
5 8 0
5 9 0
5 10 5
5 11 -4
5 12 -4
5 13 -2
5 14 2
5 15 2
5 16 1
5 17 -1
5 18 -1
5 19 7
5 20 -2
5 21 2
5 22 0
5 23 1
5 24 -2
5 25 -4
5 26 0
5 27 -2
5 28 -1
5 29 -1
5 30 0
5 31 -1
5 32 -1
5 33 -2
5 34 -3
5 35 0
5 36 0
5 37 61
5 38 -1
5 39 4
5 40 8
5 41 0
5 42 6
5 43 2
5 44 4
5 45 1
5 46 3
5 47 5
5 48 3
5 49 0
5 50 3
5 51 3
5 52 0
5 53 1
5 54 3
5 55 4
5 56 3
5 57 5
5 58 5
5 59 -2
5 60 17
5 61 4
5 62 2
5 63 4
5 64 -1
5 65 7
5 66 0
5 67 -1
5 68 2
5 69 4
6 1 -14
6 2 -8
6 3 13
6 4 1
6 5 -10
6 6 -16
6 7 -16
6 8 3
6 9 4
6 10 0
6 11 -13
6 12 -12
6 13 10
6 14 2
6 15 0
6 16 0
6 17 -18
6 18 6
6 19 16
6 20 10
6 21 2
6 22 -17
6 23 -2
6 24 -24
6 25 -12
6 26 -9
6 27 -2
6 28 -1
6 29 1
6 30 7
6 31 -12
6 32 3
6 33 -6
6 34 -17
6 35 -3
6 36 -13
6 37 3
6 38 4
6 39 -4
6 40 2
6 41 0
6 42 -4
6 43 -4
6 44 -4
6 45 0
6 46 0
6 47 -6
6 48 1
6 49 1
6 50 2
6 51 -2
6 52 -1
6 53 2
6 54 1
6 55 -1
6 56 -1
6 57 1
6 58 4
6 59 -3
6 60 6
6 61 -1
6 62 1
6 63 4
6 64 1
6 65 3
6 66 0
6 67 6
6 68 0
6 69 -5
7 1 100
7 2 -100
7 3 -27
7 4 100
7 5 64
7 6 -55
7 7 21
7 8 2
7 9 19
7 10 0
7 11 -22
7 12 4
7 13 -52
7 14 9
7 15 8
7 16 2
7 17 -15
7 18 -16
7 19 -14
7 20 -6
7 21 13
7 22 -2
7 23 -10
7 24 -18
7 25 -3
7 26 -8
7 27 5
7 28 -2
7 29 -7
7 30 3
7 31 23
7 32 5
7 33 0
7 34 -1
7 35 -3
7 36 -2
7 37 -10
7 38 7
7 39 -4
7 40 -5
7 41 11
7 42 -19
7 43 -13
7 44 -9
7 45 0
7 46 8
7 47 0
7 48 0
7 49 0
7 50 -1
7 51 -2
7 52 2
7 53 -4
7 54 2
7 55 1
7 56 2
7 57 -11
7 58 7
7 59 -3
7 60 13
7 61 6
7 62 -1
7 63 -5
7 64 -3
7 65 0
7 66 2
7 67 -2
7 68 7
7 69 5
8 1 -5
8 2 -3
8 3 2
8 4 -2
8 5 -5
8 6 -2
8 7 -11
8 8 -2
8 9 3
8 10 4
8 11 -10
8 12 -1
8 13 -8
8 14 -5
8 15 -5
8 16 13
8 17 0
8 18 -17
8 19 -34
8 20 16
8 21 -7
8 22 1
8 23 -12
8 24 -11
8 25 0
8 26 0
8 27 0
8 28 0
8 29 3
8 30 -1
8 31 -3
8 32 0
8 33 -3
8 34 0
8 35 0
8 36 -2
8 37 0
8 38 -1
8 39 0
8 40 -5
8 41 1
8 42 -6
8 43 -13
8 44 1
8 45 3
8 46 -9
8 47 1
8 48 1
8 49 3
8 50 2
8 51 0
8 52 0
8 53 -2
8 54 9
8 55 -3
8 56 0
8 57 -1
8 58 13
8 59 -5
8 60 17
8 61 -1
8 62 4
8 63 6
8 64 -1
8 65 8
8 66 -6
8 67 0
8 68 4
8 69 5
9 1 7
9 2 10
9 3 16
9 4 15
9 5 12
9 6 -3
9 7 0
9 8 11
9 9 11
9 10 9
9 11 6
9 12 -8
9 13 -8
9 14 8
9 15 8
9 16 13
9 17 4
9 18 15
9 19 21
9 20 -75
9 21 11
9 22 36
9 23 -1
9 24 0
9 25 -5
9 26 3
9 27 0
9 28 0
9 29 -1
9 30 -4
9 31 -12
9 32 4
9 33 1
9 34 -8
9 35 5
9 36 -16
9 37 5
9 38 5
9 39 0
9 40 0
9 41 3
9 42 3
9 43 5
9 44 -6
9 45 9
9 46 4
9 47 2
9 48 -3
9 49 -2
9 50 4
9 51 14
9 52 0
9 53 5
9 54 1
9 55 3
9 56 1
9 57 2
9 58 -1
9 59 -23
9 60 3
9 61 5
9 62 3
9 63 3
9 64 -2
9 65 6
9 66 -1
9 67 0
9 68 2
9 69 3
10 1 4
10 2 37
10 3 18
10 4 5
10 5 7
10 6 -13
10 7 4
10 8 9
10 9 11
10 10 5
10 11 4
10 12 9
10 13 -4
10 14 10
10 15 10
10 16 0
10 17 4
10 18 -3
10 19 4
10 20 12
10 21 11
10 22 11
10 23 8
10 24 -2
10 25 -4
10 26 0
10 27 1
10 28 0
10 29 -1
10 30 -5
10 31 -13
10 32 14
10 33 0
10 34 -1
10 35 4
10 36 1
10 37 -7
10 38 2
10 39 4
10 40 0
10 41 0
10 42 -6
10 43 0
10 44 2
10 45 0
10 46 -3
10 47 0
10 48 4
10 49 0
10 50 4
10 51 1
10 52 -2
10 53 -8
10 54 6
10 55 -5
10 56 3
10 57 0
10 58 2
10 59 -1
10 60 10
10 61 -7
10 62 1
10 63 1
10 64 0
10 65 1
10 66 -3
10 67 1
10 68 1
10 69 14
11 1 6
11 2 -3
11 3 -2
11 4 6
11 5 11
11 6 -8
11 7 0
11 8 7
11 9 -8
11 10 9
11 11 -5
11 12 6
11 13 11
11 14 3
11 15 16
11 16 10
11 17 -4
11 18 0
11 19 18
11 20 5
11 21 10
11 22 2
11 23 5
11 24 -2
11 25 -7
11 26 -2
11 27 4
11 28 -1
11 29 9
11 30 -3
11 31 -18
11 32 7
11 33 -3
11 34 -1
11 35 0
11 36 -1
11 37 -4
11 38 0
11 39 -8
11 40 -4
11 41 0
11 42 12
11 43 -4
11 44 1
11 45 0
11 46 3
11 47 4
11 48 0
11 49 5
11 50 2
11 51 -3
11 52 -2
11 53 -3
11 54 9
11 55 2
11 56 3
11 57 -3
11 58 6
11 59 8
11 60 9
11 61 -1
11 62 0
11 63 3
11 64 -2
11 65 6
11 66 0
11 67 -5
11 68 -1
11 69 10
12 1 -6
12 2 42
12 3 15
12 4 -14
12 5 -11
12 6 -12
12 7 -15
12 8 22
12 9 17
12 10 -18
12 11 -9
12 12 2
12 13 34
12 14 21
12 15 -15
12 16 20
12 17 -2
12 18 22
12 19 -42
12 20 30
12 21 36
12 22 24
12 23 11
12 24 -43
12 25 -1
12 26 4
12 27 -2
12 28 -20
12 29 -3
12 30 13
12 31 -1
12 32 -1
12 33 12
12 34 -51
12 35 -10
12 36 0
12 37 49
12 38 -4
12 39 -8
12 40 -1
12 41 2
12 42 -4
12 43 -1
12 44 0
12 45 -1
12 46 -7
12 47 -5
12 48 0
12 49 -2
12 50 -6
12 51 4
12 52 -9
12 53 -8
12 54 8
12 55 -7
12 56 -1
12 57 10
12 58 5
12 59 2
12 60 5
12 61 0
12 62 0
12 63 4
12 64 -2
12 65 10
12 66 -4
12 67 -5
12 68 -2
12 69 -5
!!!Warning!!! Truncated 3 recommended moves exceeding 100 steps
!!!Warning!!! sector 7 motor 4:: move = 200
!!!Warning!!! sector 7 motor 2:: move = -108
!!!Warning!!! sector 7 motor 1:: move = 171
Adjuster movements: rms = 45.9 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041115-164941
Creating HTML output file of plots
Plotting summary text