![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20041111-221936.fits
Reduced on 20041115-163049 by janw on moana
Reduction code id: 2.20 (created Apr 27 2004 at 15:09:15) (TDL_BIN = /.automount/moana/root/export/data/janw/install/tdl_2p21_test2)
Comment:
Reduction log file can be found here: 0log.txt
Moves file: (ring panel actuator microns format): moves_rpa.dat
Moves file: (sector motor format): moves_sm.dat
Average aperture phase
![[summary.gif]](summary.gif)
Summary
![[panel.gif]](panel.gif)
Panel fit
![[pattern0.gif]](pattern0.gif)
Pattern 0
![[pattern1.gif]](pattern1.gif)
Pattern 1
![[pattern2.gif]](pattern2.gif)
Pattern 2
![[pattern3.gif]](pattern3.gif)
Pattern 3
![[pattern4.gif]](pattern4.gif)
Pattern 4
![[pattern5.gif]](pattern5.gif)
Pattern 5
![[pattern6.gif]](pattern6.gif)
Pattern 6
![[pattern7.gif]](pattern7.gif)
Pattern 7
![[pattern8.gif]](pattern8.gif)
Pattern 8
![[pattern9.gif]](pattern9.gif)
Pattern 9
![[pattern10.gif]](pattern10.gif)
Pattern 10
![[pattern11.gif]](pattern11.gif)
Pattern 11
![[pattern12.gif]](pattern12.gif)
Pattern 12
![[pattern13.gif]](pattern13.gif)
Pattern 13
![[pattern14.gif]](pattern14.gif)
Pattern 14
![[pattern15.gif]](pattern15.gif)
Pattern 15
![[aperture0.gif]](aperture0.gif)
Aperture 0
![[aperture1.gif]](aperture1.gif)
Aperture 1
![[aperture2.gif]](aperture2.gif)
Aperture 2
![[aperture3.gif]](aperture3.gif)
Aperture 3
![[aperture4.gif]](aperture4.gif)
Aperture 4
![[aperture5.gif]](aperture5.gif)
Aperture 5
![[aperture6.gif]](aperture6.gif)
Aperture 6
![[aperture7.gif]](aperture7.gif)
Aperture 7
![[aperture8.gif]](aperture8.gif)
Aperture 8
![[aperture9.gif]](aperture9.gif)
Aperture 9
![[aperture10.gif]](aperture10.gif)
Aperture 10
![[aperture11.gif]](aperture11.gif)
Aperture 11
![[aperture12.gif]](aperture12.gif)
Aperture 12
![[aperture13.gif]](aperture13.gif)
Aperture 13
![[aperture14.gif]](aperture14.gif)
Aperture 14
![[aperture15.gif]](aperture15.gif)
Aperture 15
![[finalphi0.gif]](finalphi0.gif)
Final Phase 0
![[finalamp0.gif]](finalamp0.gif)
Final Amplitude 0
![[finalphi1.gif]](finalphi1.gif)
Final Phase 1
![[finalamp1.gif]](finalamp1.gif)
Final Amplitude 1
![[finalphi2.gif]](finalphi2.gif)
Final Phase 2
![[finalamp2.gif]](finalamp2.gif)
Final Amplitude 2
![[finalphi3.gif]](finalphi3.gif)
Final Phase 3
![[finalamp3.gif]](finalamp3.gif)
Final Amplitude 3
![[finalphi4.gif]](finalphi4.gif)
Final Phase 4
![[finalamp4.gif]](finalamp4.gif)
Final Amplitude 4
![[finalphi5.gif]](finalphi5.gif)
Final Phase 5
![[finalamp5.gif]](finalamp5.gif)
Final Amplitude 5
![[finalphi6.gif]](finalphi6.gif)
Final Phase 6
![[finalamp6.gif]](finalamp6.gif)
Final Amplitude 6
![[finalphi7.gif]](finalphi7.gif)
Final Phase 7
![[finalamp7.gif]](finalamp7.gif)
Final Amplitude 7
![[finalphi8.gif]](finalphi8.gif)
Final Phase 8
![[finalamp8.gif]](finalamp8.gif)
Final Amplitude 8
![[finalphi9.gif]](finalphi9.gif)
Final Phase 9
![[finalamp9.gif]](finalamp9.gif)
Final Amplitude 9
![[finalphi10.gif]](finalphi10.gif)
Final Phase 10
![[finalamp10.gif]](finalamp10.gif)
Final Amplitude 10
![[finalphi11.gif]](finalphi11.gif)
Final Phase 11
![[finalamp11.gif]](finalamp11.gif)
Final Amplitude 11
![[finalphi12.gif]](finalphi12.gif)
Final Phase 12
![[finalamp12.gif]](finalamp12.gif)
Final Amplitude 12
![[finalphi13.gif]](finalphi13.gif)
Final Phase 13
![[finalamp13.gif]](finalamp13.gif)
Final Amplitude 13
![[finalphi14.gif]](finalphi14.gif)
Final Phase 14
![[finalamp14.gif]](finalamp14.gif)
Final Amplitude 14
![[finalphi15.gif]](finalphi15.gif)
Final Phase 15
![[finalamp15.gif]](finalamp15.gif)
Final Amplitude 15
![[zernike_model0.gif]](zernike_model0.gif)
Zernike model 0
![[small_scale0.gif]](small_scale0.gif)
Small scale errors 0
![[zernike_model1.gif]](zernike_model1.gif)
Zernike model 1
![[small_scale1.gif]](small_scale1.gif)
Small scale errors 1
![[zernike_model2.gif]](zernike_model2.gif)
Zernike model 2
![[small_scale2.gif]](small_scale2.gif)
Small scale errors 2
![[zernike_model3.gif]](zernike_model3.gif)
Zernike model 3
![[small_scale3.gif]](small_scale3.gif)
Small scale errors 3
![[zernike_model4.gif]](zernike_model4.gif)
Zernike model 4
![[small_scale4.gif]](small_scale4.gif)
Small scale errors 4
![[zernike_model5.gif]](zernike_model5.gif)
Zernike model 5
![[small_scale5.gif]](small_scale5.gif)
Small scale errors 5
![[zernike_model6.gif]](zernike_model6.gif)
Zernike model 6
![[small_scale6.gif]](small_scale6.gif)
Small scale errors 6
![[zernike_model7.gif]](zernike_model7.gif)
Zernike model 7
![[small_scale7.gif]](small_scale7.gif)
Small scale errors 7
![[zernike_model8.gif]](zernike_model8.gif)
Zernike model 8
![[small_scale8.gif]](small_scale8.gif)
Small scale errors 8
![[zernike_model9.gif]](zernike_model9.gif)
Zernike model 9
![[small_scale9.gif]](small_scale9.gif)
Small scale errors 9
![[zernike_model10.gif]](zernike_model10.gif)
Zernike model 10
![[small_scale10.gif]](small_scale10.gif)
Small scale errors 10
![[zernike_model11.gif]](zernike_model11.gif)
Zernike model 11
![[small_scale11.gif]](small_scale11.gif)
Small scale errors 11
![[zernike_model12.gif]](zernike_model12.gif)
Zernike model 12
![[small_scale12.gif]](small_scale12.gif)
Small scale errors 12
![[zernike_model13.gif]](zernike_model13.gif)
Zernike model 13
![[small_scale13.gif]](small_scale13.gif)
Small scale errors 13
![[zernike_model14.gif]](zernike_model14.gif)
Zernike model 14
![[small_scale14.gif]](small_scale14.gif)
Small scale errors 14
![[zernike_model15.gif]](zernike_model15.gif)
Zernike model 15
![[small_scale15.gif]](small_scale15.gif)
Small scale errors 15
| ::holo3_par | |
|---|---|
| con.cal_degree | 0 |
| con.cal_spline_smooth | 0.0 |
| con.correct_for_reference_offset | 1 |
| con.correct_for_sec_diff | 1 |
| con.dft | 0 |
| con.dft_extent | 8.0 |
| con.dmV_dMHz | 29.0 |
| con.far_field | {650 12 0} {900 12 0} |
| con.far_perfect_zernikes | {0.0 4 0} {0.0 3 3} |
| con.fdecipher_method | 1 |
| con.fit_illumination | 0 |
| con.fit_panels | 1 |
| con.grid_cell | 0 |
| con.grid_even | 1 |
| con.grid_npts | 0 |
| con.grid_power_of_two | 1 |
| con.gridder_airy_size | 1.0 |
| con.gridder_extent | 6.0 |
| con.gridder_gaussian_size | 3.0 |
| con.gridder_minwt | 0.5 |
| con.gridder_nlutpts | 5000 |
| con.gridder_type | airy-gaussian |
| con.hilo_method | 2 |
| con.mask_refbeam | 3.87 -0.28 0.0 |
| con.nclip_per_cal_row | 5 |
| con.nclip_per_data_row | 5 |
| con.pattern_mask_scale | 0.98 |
| con.receiver_defocus | 0.0 |
| con.row_odd_even | all |
| con.secdiff_x0 | 0.060 |
| con.secdiff_y0 | -0.040 |
| con.shadow_scale | 1.25 |
| con.shadow_shift | 0.0 |
| con.subtract_zeropt | 1 |
| con.zernike_max_order | 3 |
| con.zernikes_to_fit | 0 1 2 4 |
| data.comment | |
| data.directory | /net/moana/export/data/janw/rxh3 |
| data.filename | rxh3-20041111-221936.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -1.25 |
| data.pointing_offset_y | 12.40 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.93 |
| 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 | 0.033930000000000002 |
| 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: 20041115-163049
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041111-221936.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 = 2402.7 max = 2430.5 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.930 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 3.05908 -0.02259
loimag -3.29590 3.06641 0.00200
hireal -5.00000 4.99756 -0.33215
hiimag -5.00000 4.99756 -0.14298
xpos -2430.54038 2419.98433 -8.09566
ypos -2402.80538 2402.71879 -0.00522
plock160 0.65674 2.12158 1.44724
lorefpwr 0.27832 1.64795 1.22901
losigpwr -4.56055 -0.17822 -4.37941
hirefpwr 0.35156 1.70654 1.27953
hisigpwr -4.46777 4.99756 -0.78415
encltemp 31.56738 32.78809 32.08225
flags 0.00000 256.00000 2.76738
phi-lock -1.44287 -0.05859 -0.77503
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.99386 1473.09190
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 = 40.00627 arcsec
Mean row spacing = 40.00629 arcsec (alternate estimator)
Mean tracking incline = -0.26070 arcsec
Mean pointing range = 0.76060 arcsec
Mean pointing rms = 0.15156 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-1.25, 12.40 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 0 0 0 0 0 0 0 0 4000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22680 data points
No calibration requested...
Creating template maps for gridding
Using a grid cellsize of 40.0 arcseconds
Using a grid of 128 points
Grid has even number of points
Maximum data offset = 2430.54 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 = 2.93296 at (0.0, 0.0) arcsec
Real: mean = 0.00140642 sum of squares = 1079.27
Imag: mean = -0.00129087 sum of squares = 893.767
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 = 2.92249 at (0.0, 0.0) arcsec
Real: mean = 0.00105489 sum of squares = 1017.12
Imag: mean = -0.00156859 sum of squares = 954.643
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 = 2.92204 at (0.0, 0.0) arcsec
Real: mean = 0.000914358 sum of squares = 935.333
Imag: mean = -0.00223265 sum of squares = 1036.77
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 = 2.93136 at (0.0, 0.0) arcsec
Real: mean = 0.00134538 sum of squares = 887.106
Imag: mean = -0.00297626 sum of squares = 1085.35
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 = 2.96902 at (0.0, 0.0) arcsec
Real: mean = 0.00213027 sum of squares = 908.672
Imag: mean = -0.00324811 sum of squares = 1065.78
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 = 3.01673 at (0.0, 0.0) arcsec
Real: mean = 0.00280767 sum of squares = 989.609
Imag: mean = -0.00301334 sum of squares = 989.383
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 = 3.08147 at (0.0, 0.0) arcsec
Real: mean = 0.00315601 sum of squares = 1075.04
Imag: mean = -0.00263458 sum of squares = 910.639
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 = 3.11985 at (0.0, 0.0) arcsec
Real: mean = 0.00336741 sum of squares = 1101.56
Imag: mean = -0.00228555 sum of squares = 891.694
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 = 3.14042 at (0.0, 0.0) arcsec
Real: mean = 0.00354604 sum of squares = 1049.53
Imag: mean = -0.0019153 sum of squares = 950.408
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 = 3.13017 at (0.0, 0.0) arcsec
Real: mean = 0.00356294 sum of squares = 960.693
Imag: mean = -0.00133489 sum of squares = 1044.7
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 = 3.11014 at (0.0, 0.0) arcsec
Real: mean = 0.00325014 sum of squares = 903.917
Imag: mean = -0.000864559 sum of squares = 1103.4
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 = 3.07467 at (0.0, 0.0) arcsec
Real: mean = 0.00272189 sum of squares = 919.885
Imag: mean = -0.000631584 sum of squares = 1088.55
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 = 3.04265 at (0.0, 0.0) arcsec
Real: mean = 0.00227336 sum of squares = 999.169
Imag: mean = -0.000639036 sum of squares = 1010.74
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 = 3.00581 at (0.0, 0.0) arcsec
Real: mean = 0.00186646 sum of squares = 1082.59
Imag: mean = -0.000782595 sum of squares = 929.746
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 = 2.9866 at (0.0, 0.0) arcsec
Real: mean = 0.00152189 sum of squares = 1110.64
Imag: mean = -0.0010636 sum of squares = 905.765
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 = 2.9747 at (0.0, 0.0) arcsec
Real: mean = 0.0012944 sum of squares = 1068.56
Imag: mean = -0.00163518 sum of squares = 951.37
Masking frequency index 0
Mask scale size = 3.05917
Masking frequency index 1
Mask scale size = 3.05925
Masking frequency index 2
Mask scale size = 3.05933
Masking frequency index 3
Mask scale size = 3.0594
Masking frequency index 4
Mask scale size = 3.05948
Masking frequency index 5
Mask scale size = 3.05955
Masking frequency index 6
Mask scale size = 3.05963
Masking frequency index 7
Mask scale size = 3.05971
Masking frequency index 8
Mask scale size = 3.05978
Masking frequency index 9
Mask scale size = 3.05986
Masking frequency index 10
Mask scale size = 3.05994
Masking frequency index 11
Mask scale size = 3.06001
Masking frequency index 12
Mask scale size = 3.06009
Masking frequency index 13
Mask scale size = 3.06016
Masking frequency index 14
Mask scale size = 3.06024
Masking frequency index 15
Mask scale size = 3.06032
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: 0.195312
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.192871
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: 0.185547
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.166016
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.170898
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.168457
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.178223
Median point-to-point PLL voltage change: 0.0146484
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 0.45023 108.28
Freq 1: Shift, scale = 0.01573 107.46
Freq 2: Shift, scale = -0.41819 106.21
Freq 3: Shift, scale = -0.85009 104.48
Freq 4: Shift, scale = -1.2831 102.81
Freq 5: Shift, scale = -1.7182 101.35
Freq 6: Shift, scale = -2.1602 100.94
Freq 7: Shift, scale = -2.6067 101.2
Freq 8: Shift, scale = -3.0541 102.48
Freq 9: Shift, scale = 2.7799 103.93
Freq 10: Shift, scale = 2.3339 105.72
Freq 11: Shift, scale = 1.8924 107.17
Freq 12: Shift, scale = 1.455 108.22
Freq 13: Shift, scale = 1.0234 108.66
Freq 14: Shift, scale = 0.59468 108.65
Freq 15: Shift, scale = 0.16747 108.37
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: -0.198 radians
x offset: 0.0833 arcsec
y offset: -0.0272 arcsec
defocus: -0.0127 mm
Estimated x pointing error is -1.167 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.37 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.917 mm (used 2.93 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.195 radians
x offset: 0.0856 arcsec
y offset: -0.0394 arcsec
defocus: -0.0154 mm
Estimated x pointing error is -1.164 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.36 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.915 mm (used 2.93 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.191 radians
x offset: 0.0893 arcsec
y offset: -0.0499 arcsec
defocus: -0.017 mm
Estimated x pointing error is -1.161 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.35 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.913 mm (used 2.93 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.186 radians
x offset: 0.086 arcsec
y offset: -0.0209 arcsec
defocus: -0.0179 mm
Estimated x pointing error is -1.164 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.38 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.912 mm (used 2.93 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.181 radians
x offset: 0.0698 arcsec
y offset: 0.00796 arcsec
defocus: -0.0177 mm
Estimated x pointing error is -1.18 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.41 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.912 mm (used 2.93 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.18 radians
x offset: 0.0631 arcsec
y offset: 0.0525 arcsec
defocus: -0.0181 mm
Estimated x pointing error is -1.187 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.45 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.912 mm (used 2.93 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.184 radians
x offset: 0.0473 arcsec
y offset: 0.0759 arcsec
defocus: -0.0168 mm
Estimated x pointing error is -1.203 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.48 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.913 mm (used 2.93 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.192 radians
x offset: 0.0491 arcsec
y offset: 0.0671 arcsec
defocus: -0.0148 mm
Estimated x pointing error is -1.201 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.47 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.915 mm (used 2.93 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.201 radians
x offset: 0.0423 arcsec
y offset: 0.0329 arcsec
defocus: -0.0151 mm
Estimated x pointing error is -1.208 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.43 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.915 mm (used 2.93 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.212 radians
x offset: 0.0661 arcsec
y offset: -0.0163 arcsec
defocus: -0.0159 mm
Estimated x pointing error is -1.184 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.38 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.914 mm (used 2.93 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.22 radians
x offset: 0.101 arcsec
y offset: -0.0715 arcsec
defocus: -0.0165 mm
Estimated x pointing error is -1.149 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.33 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.914 mm (used 2.93 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.224 radians
x offset: 0.151 arcsec
y offset: -0.113 arcsec
defocus: -0.0184 mm
Estimated x pointing error is -1.099 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.29 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.912 mm (used 2.93 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.224 radians
x offset: 0.176 arcsec
y offset: -0.122 arcsec
defocus: -0.0209 mm
Estimated x pointing error is -1.074 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.28 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.909 mm (used 2.93 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.218 radians
x offset: 0.212 arcsec
y offset: -0.111 arcsec
defocus: -0.0231 mm
Estimated x pointing error is -1.038 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.29 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.907 mm (used 2.93 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.209 radians
x offset: 0.208 arcsec
y offset: -0.0934 arcsec
defocus: -0.024 mm
Estimated x pointing error is -1.042 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.31 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.906 mm (used 2.93 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.196 radians
x offset: 0.195 arcsec
y offset: -0.0554 arcsec
defocus: -0.0221 mm
Estimated x pointing error is -1.055 arcsec (used -1.25 arcsec)
Estimated y pointing error is 12.34 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.908 mm (used 2.93 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 -0.00071 piston
1 1 0.00166 tilt_x
1 -1 -0.01274 tilt_y
2 2 0.07404 astigmatism_0
2 0 -0.00123 curvature
2 -2 0.01732 astigmatism45
3 3 0.03716 trefoil_0
3 1 -0.01034 coma_x
3 -1 -0.03998 coma_y
3 -3 0.03423 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 -0.00058 piston
1 1 0.00119 tilt_x
1 -1 -0.01339 tilt_y
2 2 0.07131 astigmatism_0
2 0 -0.00083 curvature
2 -2 0.01734 astigmatism45
3 3 0.03823 trefoil_0
3 1 -0.01093 coma_x
3 -1 -0.04200 coma_y
3 -3 0.03661 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 -0.00051 piston
1 1 0.00147 tilt_x
1 -1 -0.01272 tilt_y
2 2 0.07078 astigmatism_0
2 0 -0.00044 curvature
2 -2 0.01752 astigmatism45
3 3 0.03865 trefoil_0
3 1 -0.00982 coma_x
3 -1 -0.04013 coma_y
3 -3 0.03631 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 -0.00046 piston
1 1 0.00192 tilt_x
1 -1 -0.01211 tilt_y
2 2 0.07115 astigmatism_0
2 0 -0.00017 curvature
2 -2 0.01707 astigmatism45
3 3 0.03783 trefoil_0
3 1 -0.00843 coma_x
3 -1 -0.03817 coma_y
3 -3 0.03516 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 -0.00049 piston
1 1 0.00310 tilt_x
1 -1 -0.01077 tilt_y
2 2 0.07337 astigmatism_0
2 0 -0.00000 curvature
2 -2 0.01631 astigmatism45
3 3 0.03673 trefoil_0
3 1 -0.00531 coma_x
3 -1 -0.03394 coma_y
3 -3 0.03323 trefoil_30
Fitting many Zernikes for frequency 5
Using terms up to Zernike order 3
Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9
Minimiser fit code = 1
n l coeff name
0 0 -0.00055 piston
1 1 0.00415 tilt_x
1 -1 -0.00953 tilt_y
2 2 0.07595 astigmatism_0
2 0 -0.00001 curvature
2 -2 0.01558 astigmatism45
3 3 0.03531 trefoil_0
3 1 -0.00300 coma_x
3 -1 -0.02999 coma_y
3 -3 0.03027 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 -0.00063 piston
1 1 0.00521 tilt_x
1 -1 -0.00845 tilt_y
2 2 0.07900 astigmatism_0
2 0 -0.00015 curvature
2 -2 0.01583 astigmatism45
3 3 0.03352 trefoil_0
3 1 -0.00097 coma_x
3 -1 -0.02660 coma_y
3 -3 0.02849 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 -0.00069 piston
1 1 0.00570 tilt_x
1 -1 -0.00833 tilt_y
2 2 0.08042 astigmatism_0
2 0 -0.00041 curvature
2 -2 0.01618 astigmatism45
3 3 0.03305 trefoil_0
3 1 -0.00028 coma_x
3 -1 -0.02583 coma_y
3 -3 0.02783 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 -0.00075 piston
1 1 0.00539 tilt_x
1 -1 -0.00923 tilt_y
2 2 0.08143 astigmatism_0
2 0 -0.00085 curvature
2 -2 0.01672 astigmatism45
3 3 0.03320 trefoil_0
3 1 -0.00166 coma_x
3 -1 -0.02813 coma_y
3 -3 0.03079 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 -0.00073 piston
1 1 0.00504 tilt_x
1 -1 -0.01063 tilt_y
2 2 0.07959 astigmatism_0
2 0 -0.00098 curvature
2 -2 0.01582 astigmatism45
3 3 0.03371 trefoil_0
3 1 -0.00232 coma_x
3 -1 -0.03172 coma_y
3 -3 0.03446 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 -0.00071 piston
1 1 0.00441 tilt_x
1 -1 -0.01192 tilt_y
2 2 0.07761 astigmatism_0
2 0 -0.00112 curvature
2 -2 0.01571 astigmatism45
3 3 0.03444 trefoil_0
3 1 -0.00366 coma_x
3 -1 -0.03578 coma_y
3 -3 0.03891 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 -0.00066 piston
1 1 0.00417 tilt_x
1 -1 -0.01223 tilt_y
2 2 0.07464 astigmatism_0
2 0 -0.00096 curvature
2 -2 0.01526 astigmatism45
3 3 0.03608 trefoil_0
3 1 -0.00335 coma_x
3 -1 -0.03713 coma_y
3 -3 0.04174 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 -0.00059 piston
1 1 0.00358 tilt_x
1 -1 -0.01223 tilt_y
2 2 0.07401 astigmatism_0
2 0 -0.00082 curvature
2 -2 0.01481 astigmatism45
3 3 0.03560 trefoil_0
3 1 -0.00490 coma_x
3 -1 -0.03746 coma_y
3 -3 0.04118 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 -0.00055 piston
1 1 0.00360 tilt_x
1 -1 -0.01195 tilt_y
2 2 0.07484 astigmatism_0
2 0 -0.00059 curvature
2 -2 0.01511 astigmatism45
3 3 0.03470 trefoil_0
3 1 -0.00515 coma_x
3 -1 -0.03700 coma_y
3 -3 0.03809 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 -0.00049 piston
1 1 0.00374 tilt_x
1 -1 -0.01137 tilt_y
2 2 0.07656 astigmatism_0
2 0 -0.00031 curvature
2 -2 0.01401 astigmatism45
3 3 0.03376 trefoil_0
3 1 -0.00512 coma_x
3 -1 -0.03516 coma_y
3 -3 0.03434 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 -0.00051 piston
1 1 0.00321 tilt_x
1 -1 -0.01058 tilt_y
2 2 0.07914 astigmatism_0
2 0 -0.00037 curvature
2 -2 0.01317 astigmatism45
3 3 0.03263 trefoil_0
3 1 -0.00706 coma_x
3 -1 -0.03283 coma_y
3 -3 0.03145 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: 30.2 18.6 19.1 22.6 23.9 27.3 35 27.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.5 18.2 17.8 20.4 21.7 22.6 35.6 26
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.39 4.59 6.13 7.29 8.99 12.4 18.2 11.7
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.3 18.4 19.5 22.5 24.3 27 35.3 27.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 18 18.1 20.3 22.1 22.6 35.8 26.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.51 4.79 6.33 7.4 8.92 12.2 18.1 11.6
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.1 18.1 19.5 22.5 24.8 27 35.8 28.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.4 17.7 18.1 20.5 22.6 22.7 36.1 26.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.39 4.58 6.09 7.2 8.82 12.1 18 11.5
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.7 18 19.4 22.9 25.4 27.4 35.8 28.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28 17.7 18 21 23.1 23.2 36.3 27.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.27 4.36 5.84 7 8.72 12.1 17.8 11.4
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.9 18.1 19.2 23.2 25.5 28.1 35.5 28.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.2 17.9 17.9 21.5 23.3 23.7 36.1 27.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2 3.9 5.35 6.67 8.69 12.2 17.7 11.3
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.5 18.3 19.1 23.8 25.7 28.9 35 28.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.7 18.2 17.9 22.2 23.6 24.4 35.9 27.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.77 3.5 4.95 6.41 8.69 12.3 17.7 11.3
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.7 18.5 19.5 24.4 25.4 29.4 35.3 28.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.9 18.4 18.4 23.1 23.2 24.6 36.2 27.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.58 3.19 4.66 6.29 8.81 12.6 17.9 11.4
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.1 18.6 20 24.9 25.3 29.6 35.5 28.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.3 18.5 19 23.6 23.1 24.8 36.5 27.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.54 3.13 4.62 6.3 8.9 12.7 18.1 11.5
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.4 19.1 20.5 24.8 24.6 29.6 35.9 28.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.6 18.9 19.5 23.4 22.4 24.6 36.8 27.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.67 3.36 4.88 6.54 9.1 13 18.5 11.7
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.5 19.4 20.9 24 24.3 29.3 35.9 28.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 19.1 19.9 22.5 22 24.3 36.8 27.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.86 3.69 5.21 6.74 9.09 12.9 18.5 11.8
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.7 19.2 20.7 23.5 24.1 28.7 35.8 28.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.9 18.9 19.6 21.9 21.8 23.8 36.5 26.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.09 4.08 5.62 7.02 9.15 12.8 18.7 11.9
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.8 18.9 19.9 24.2 24.4 28 35.5 27.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.1 18.7 18.7 22.5 22.1 23.2 36.2 26.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.16 4.19 5.71 7.05 9.04 12.6 18.6 11.8
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.4 18.6 18.9 23.8 24.5 27.4 35.5 27.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.7 18.3 17.7 22.1 22.2 22.8 35.9 26.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.19 4.24 5.75 7.04 8.97 12.5 18.4 11.7
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.7 18.3 18.9 23.3 24.6 27.3 35.2 27.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.9 18.1 17.7 21.5 22.4 22.8 35.5 26.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.17 4.2 5.71 7 8.93 12.5 18.2 11.6
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.5 18.3 19.1 22.6 24.6 27.2 34.9 27.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.7 18.1 17.8 20.7 22.4 22.7 35.2 26.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 2.07 4.03 5.52 6.86 8.9 12.5 18.1 11.5
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.3 18.6 19.3 22.3 24.6 27.4 34.4 27.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.5 18.4 18.1 20.4 22.5 22.8 34.8 26.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.96 3.85 5.35 6.76 8.96 12.6 18.2 11.6
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 26.8 16.8 17.8 21.2 23.5 26.8 33.7 26.5
Mean deviation is 0.64310839360775662 microns
Taper = 10 dB, Ruze illumination-weighted rms = 25.5 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 23.0 micron
Centre pixel: 64.0 64.0 Value = 2815.32 (estimate), 3426.12 (perfect)
Strehl = 0.67523
Strehl ratio estimate = 0.6752
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 = 22.5 micron
Centre pixel: 64.0 64.0 Value = 2389.88 (estimate), 3426.12 (perfect)
Strehl = 0.486572
Strehl ratio estimate = 0.4866
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 -8.5 7.3 6.8 13.1
2 1 2 3.0 8.3 15.0 17.4
3 1 3 19.7 17.2 -11.5 28.6
4 1 4 6.9 -1.3 -31.9 32.6
5 1 5 -25.2 17.1 57.3 64.9
6 1 6 -12.4 7.0 11.5 18.4
7 1 7 -13.7 13.9 33.0 38.4
8 1 8 -26.3 39.7 49.8 68.9
9 1 9 -87.1 -16.5 8.8 89.1
10 1 10 -9.8 10.3 40.5 42.9
11 1 11 24.4 14.4 13.4 31.3
12 1 12 -1.7 3.7 13.2 13.8
13 2 1 19.5 -28.4 -26.4 43.4
14 2 2 3.9 -1.4 -13.6 14.2
15 2 3 32.2 -31.6 -32.9 55.8
16 2 4 6.4 -14.3 -2.8 15.9
17 2 5 16.8 -1.0 8.0 18.6
18 2 6 0.8 17.5 32.0 36.5
19 2 7 0.5 19.4 0.5 19.4
20 2 8 11.8 11.9 14.3 22.1
21 2 9 26.7 -5.7 -7.2 28.3
22 2 10 -0.6 5.0 7.8 9.3
23 2 11 -3.7 1.8 0.9 4.2
24 2 12 -1.9 -1.1 -3.7 4.3
25 2 13 3.4 -6.1 -8.2 10.8
26 2 14 2.9 -9.8 -2.1 10.4
27 2 15 11.1 -7.8 -12.2 18.2
28 2 16 16.2 -3.9 1.0 16.7
29 2 17 14.9 -2.0 -5.2 15.9
30 2 18 0.2 11.2 -5.6 12.6
31 2 19 -2.1 -18.8 7.2 20.3
32 2 20 23.4 -11.3 -10.2 27.9
33 2 21 13.4 4.1 -11.7 18.2
34 2 22 22.9 -13.3 -12.3 29.2
35 2 23 26.3 -17.1 -8.9 32.6
36 2 24 14.6 -19.2 -23.9 34.0
37 3 1 -16.7 4.5 -8.2 19.1
38 3 2 -5.4 -4.3 -4.2 8.1
39 3 3 -23.7 -8.3 -9.7 27.0
40 3 4 -14.6 -14.1 10.3 22.8
41 3 5 -19.8 0.1 1.4 19.8
42 3 6 -32.1 -7.0 0.6 32.8
43 3 7 -20.9 -9.3 -17.2 28.7
44 3 8 -9.5 1.6 -4.0 10.4
45 3 9 16.0 -4.7 3.4 17.1
46 3 10 -1.8 5.6 7.7 9.7
47 3 11 21.2 10.8 13.9 27.5
48 3 12 13.2 26.7 6.7 30.5
49 3 13 -7.1 22.2 31.3 39.0
50 3 14 24.3 12.6 23.6 36.2
51 3 15 -5.8 9.9 24.1 26.6
52 3 16 10.0 10.2 24.3 28.2
53 3 17 13.4 13.8 24.7 31.3
54 3 18 16.2 16.9 30.1 38.1
55 3 19 19.6 15.5 7.5 26.1
56 3 20 17.3 13.1 6.7 22.7
57 3 21 18.2 2.1 9.9 20.9
58 3 22 6.0 3.6 2.4 7.4
59 3 23 13.4 1.5 -11.1 17.4
60 3 24 -4.0 -5.0 -20.8 21.7
61 3 25 6.8 -9.3 -14.1 18.2
62 3 26 -8.1 2.5 -10.8 13.8
63 3 27 -1.4 5.1 2.8 6.0
64 3 28 29.6 8.3 -5.6 31.3
65 3 29 25.1 11.8 7.6 28.8
66 3 30 7.9 -0.3 -0.8 8.0
67 3 31 10.3 15.6 23.1 29.8
68 3 32 15.3 18.6 19.8 31.2
69 3 33 19.7 21.6 28.5 40.9
70 3 34 9.5 2.8 16.0 18.8
71 3 35 37.0 13.9 -5.6 39.9
72 3 36 7.1 12.0 1.2 14.0
73 3 37 19.8 8.3 -19.2 28.8
74 3 38 11.8 18.0 -5.4 22.2
75 3 39 11.8 18.3 -0.3 21.7
76 3 40 36.9 1.2 5.0 37.3
77 3 41 11.9 4.8 4.0 13.5
78 3 42 -7.3 9.5 1.1 12.0
79 3 43 -15.1 8.3 -6.8 18.6
80 3 44 8.4 4.4 -3.4 10.0
81 3 45 10.7 -3.3 3.8 11.8
82 3 46 -6.9 -0.3 -3.5 7.8
83 3 47 4.8 -0.7 -9.8 11.0
84 3 48 -21.6 3.6 -24.0 32.5
85 4 1 1.6 -21.5 -11.6 24.5
86 4 2 -30.3 -24.5 -37.8 54.3
87 4 3 -17.1 -30.1 -47.9 59.1
88 4 4 -8.6 -19.9 -53.6 57.8
89 4 5 7.7 -10.8 -31.3 34.0
90 4 6 2.4 -7.9 -19.7 21.3
91 4 7 10.1 -7.0 -13.0 17.9
92 4 8 -4.3 -0.0 -20.9 21.3
93 4 9 -2.6 -5.4 -13.1 14.4
94 4 10 -2.1 8.4 -25.1 26.6
95 4 11 -10.0 18.1 10.1 23.0
96 4 12 7.5 7.9 -6.3 12.6
97 4 13 13.0 3.9 38.2 40.5
98 4 14 -7.6 19.9 9.0 23.1
99 4 15 15.7 17.9 25.8 35.2
100 4 16 2.8 19.7 24.2 31.3
101 4 17 22.7 27.8 10.7 37.5
102 4 18 34.1 2.4 25.3 42.5
103 4 19 9.7 -1.0 -13.6 16.7
104 4 20 1.7 -2.6 -10.9 11.3
105 4 21 -9.8 -10.6 1.3 14.5
106 4 22 -26.3 3.5 9.9 28.3
107 4 23 -19.2 -19.3 -5.5 27.8
108 4 24 56.0 2.2 13.0 57.5
109 4 25 45.8 1.2 50.2 68.0
110 4 26 -12.7 5.5 36.0 38.6
111 4 27 -27.5 -1.3 10.3 29.4
112 4 28 -20.3 -5.2 11.5 23.9
113 4 29 -26.7 6.8 -36.8 46.0
114 4 30 -17.0 -8.4 10.4 21.6
115 4 31 2.1 -6.6 6.0 9.2
116 4 32 7.4 25.8 -8.4 28.1
117 4 33 6.5 15.4 19.3 25.5
118 4 34 24.8 13.5 19.6 34.3
119 4 35 -51.2 20.2 -33.0 64.2
120 4 36 -12.3 2.0 -8.9 15.4
121 4 37 20.6 3.4 -24.8 32.4
122 4 38 1.7 6.8 3.7 7.9
123 4 39 2.5 8.4 -11.0 14.1
124 4 40 -12.8 -1.8 -6.7 14.5
125 4 41 -3.5 14.8 5.4 16.1
126 4 42 18.9 -3.1 -7.1 20.4
127 4 43 1.5 -3.7 -10.3 11.1
128 4 44 -5.2 3.0 -9.9 11.6
129 4 45 -14.3 -6.5 -13.7 20.8
130 4 46 -14.0 -17.9 -17.2 28.4
131 4 47 -40.5 -18.2 -56.0 71.5
132 4 48 -17.0 -25.1 -23.4 38.3
133 5 1 -27.8 -5.0 -7.2 29.1
134 5 2 9.4 22.8 -33.4 41.6
135 5 3 -55.8 -2.2 -38.7 67.9
136 5 4 -12.9 -15.9 2.6 20.7
137 5 5 -25.4 -8.3 -3.2 26.9
138 5 6 -14.0 -5.3 -22.7 27.2
139 5 7 3.9 -1.6 -7.4 8.6
140 5 8 -8.0 7.1 -15.0 18.4
141 5 9 -1.0 -1.7 8.1 8.3
142 5 10 -10.4 16.2 -7.0 20.5
143 5 11 28.4 -2.3 14.1 31.8
144 5 12 -6.8 19.3 26.4 33.4
145 5 13 4.1 20.7 22.7 31.0
146 5 14 9.7 53.8 -3.7 54.8
147 5 15 20.2 44.3 20.7 52.9
148 5 16 16.6 22.1 11.4 29.9
149 5 17 2.2 11.6 0.6 11.9
150 5 18 6.3 -5.0 199.1 199.3
151 5 19 -3.6 -5.0 -3.8 7.2
152 5 20 4.6 -0.8 -17.1 17.7
153 5 21 1.7 -4.7 -30.6 31.0
154 5 22 2.4 -1.5 -47.4 47.5
155 5 23 -1.2 -12.3 -65.8 66.9
156 5 24 -5.9 -32.7 -62.3 70.6
157 5 25 -2.4 -32.1 -65.4 72.9
158 5 26 4.8 -3.6 -65.5 65.8
159 5 27 30.6 1.8 -39.1 49.7
160 5 28 21.9 -4.9 -21.7 31.3
161 5 29 38.4 1.3 -8.4 39.3
162 5 30 21.9 12.0 11.2 27.4
163 5 31 2.9 18.0 16.9 24.8
164 5 32 0.0 -1.7 11.2 11.4
165 5 33 26.2 -3.9 16.4 31.2
166 5 34 5.4 16.9 3.3 18.0
167 5 35 -6.6 30.2 -37.5 48.6
168 5 36 -8.8 6.9 -37.4 39.0
169 5 37 -9.2 0.2 -19.6 21.7
170 5 38 26.6 2.3 -25.8 37.1
171 5 39 -8.0 30.2 -64.3 71.5
172 5 40 -6.1 0.9 -22.3 23.1
173 5 41 -1.1 2.7 -16.6 16.8
174 5 42 -3.8 -3.7 -18.2 18.9
175 5 43 8.3 -0.6 -16.1 18.1
176 5 44 4.7 6.9 -21.8 23.3
177 5 45 8.6 2.6 -25.2 26.7
178 5 46 -10.5 1.4 12.4 16.3
179 5 47 23.0 15.5 -37.2 46.4
180 5 48 -13.5 -5.0 -5.8 15.5
181 6 1 -2.1 -25.5 -39.3 46.9
182 6 2 -3.3 -26.6 -45.7 53.0
183 6 3 26.2 -23.5 -12.2 37.3
184 6 4 -39.0 -18.1 -51.9 67.4
185 6 5 -6.8 -10.4 -10.9 16.5
186 6 6 -3.5 -9.2 -23.3 25.3
187 6 7 -14.8 -11.7 -15.8 24.6
188 6 8 -22.8 -8.6 -27.5 36.7
189 6 9 10.3 -7.1 30.9 33.3
190 6 10 35.6 8.6 28.9 46.7
191 6 11 1.3 13.3 -3.3 13.8
192 6 12 10.3 34.4 4.1 36.1
193 6 13 19.3 27.0 24.4 41.2
194 6 14 4.3 33.3 15.5 37.0
195 6 15 29.1 23.9 29.6 47.9
196 6 16 20.7 1.3 25.6 32.9
197 6 17 -12.0 1.9 -5.9 13.5
198 6 18 1.1 -13.8 -5.1 14.7
199 6 19 -22.6 -21.3 -10.8 32.9
200 6 20 -5.1 -25.2 -19.3 32.2
201 6 21 -90.5 -38.7 -110.6 148.1
202 6 22 -18.0 -58.0 2.9 60.8
203 6 23 -61.6 -44.7 -20.1 78.7
204 6 24 -72.3 -49.6 -21.6 90.4
205 6 25 -77.9 -51.9 -34.1 99.6
206 6 26 -72.2 -42.2 -34.3 90.4
207 6 27 -30.1 -49.6 4.5 58.2
208 6 28 -13.0 -23.6 35.9 44.9
209 6 29 -30.9 -24.2 -27.2 47.7
210 6 30 -15.0 -10.5 35.7 40.1
211 6 31 22.3 -11.4 3.7 25.3
212 6 32 10.5 0.5 8.1 13.2
213 6 33 -1.3 -4.4 124.9 125.0
214 6 34 43.0 7.3 55.1 70.3
215 6 35 -19.4 25.5 35.7 48.0
216 6 36 -12.4 24.8 46.4 54.0
217 6 37 -20.9 14.2 29.9 39.2
218 6 38 -2.9 -11.7 -2.3 12.2
219 6 39 8.4 -2.3 6.5 10.9
220 6 40 -30.1 3.9 13.8 33.4
221 6 41 -21.6 15.4 -15.0 30.4
222 6 42 -17.3 -5.2 24.9 30.7
223 6 43 -3.2 -7.3 35.2 36.1
224 6 44 -7.9 14.5 9.9 19.3
225 6 45 -5.0 5.2 55.7 56.1
226 6 46 28.7 -9.6 42.7 52.4
227 6 47 -19.1 -9.7 -15.8 26.6
228 6 48 -23.5 -27.1 -28.9 46.1
229 7 1 -28.7 13.1 -18.1 36.4
230 7 2 -33.5 -16.1 -29.5 47.4
231 7 3 -18.6 -9.4 -3.9 21.2
232 7 4 -0.1 64.1 20.5 67.3
233 7 5 -7.8 -12.5 34.0 37.0
234 7 6 4.1 31.1 12.4 33.7
235 7 7 -19.8 23.6 36.1 47.4
236 7 8 12.0 27.7 -48.0 56.7
237 7 9 32.1 18.8 57.7 68.6
238 7 10 25.3 34.4 18.0 46.4
239 7 11 9.5 30.5 -0.2 31.9
240 7 12 14.2 54.6 28.5 63.2
241 7 13 25.1 55.5 54.5 81.8
242 7 14 35.4 57.6 43.5 80.4
243 7 15 -8.9 32.3 23.2 40.8
244 7 16 51.1 70.7 16.9 88.9
245 7 17 5.1 -14.1 18.6 23.8
246 7 18 -4.9 1.1 -11.9 13.0
247 7 19 -13.4 -5.3 18.9 23.8
248 7 20 -20.2 -19.7 33.5 43.8
249 7 21 42.2 138.3 -20.2 146.0
250 7 22 -19.9 3.3 13.5 24.3
251 7 23 -6.8 0.1 3.0 7.4
252 7 24 -24.8 0.5 27.4 37.0
253 7 25 -31.2 8.0 39.2 50.7
254 7 26 -17.1 4.3 -17.3 24.7
255 7 27 -20.9 3.4 24.8 32.6
256 7 28 -2.3 164.2 197.4 256.8
257 7 29 -12.7 1.0 11.3 17.0
258 7 30 -18.8 -17.7 -12.2 28.5
259 7 31 5.7 -22.5 -26.8 35.5
260 7 32 5.9 -6.2 -26.7 28.0
261 7 33 -13.7 -181.0 93.0 204.0
262 7 34 37.0 37.9 -16.3 55.4
263 7 35 49.3 42.9 -1.0 65.4
264 7 36 47.6 29.7 22.8 60.6
265 7 37 35.5 31.6 17.4 50.6
266 7 38 29.6 20.0 -17.4 39.8
267 7 39 25.9 19.8 -1.6 32.6
268 7 40 49.1 104.9 -4.0 115.9
269 7 41 34.8 4.7 51.2 62.1
270 7 42 42.8 18.5 20.8 51.0
271 7 43 -34.0 21.4 -13.7 42.5
272 7 44 7.3 25.4 10.0 28.3
273 7 45 14.8 -26.8 81.6 87.2
274 7 46 25.7 40.3 21.5 52.4
275 7 47 13.2 42.7 -6.4 45.1
276 7 48 7.9 141.5 17.4 142.7
Creating sector-motor-move file
sector motor steps
1 1 6
1 2 19
1 3 0
1 4 -15
1 5 -5
1 6 -11
1 7 -1
1 8 -2
1 9 -5
1 10 -3
1 11 -7
1 12 8
1 13 -9
1 14 -4
1 15 -10
1 16 -14
1 17 -8
1 18 -1
1 19 -5
1 20 4
1 21 -8
1 22 -12
1 23 -7
1 24 0
1 25 0
1 26 -4
1 27 -3
1 28 -16
1 29 -6
1 30 -2
1 31 -11
1 32 0
1 33 -17
1 34 -14
1 35 -9
1 36 -5
1 37 -10
1 38 7
1 39 2
1 40 -11
1 41 -7
1 42 -9
1 43 -2
1 44 -1
1 45 -8
1 46 -3
1 47 -6
1 48 0
1 49 -2
1 50 -2
1 51 -7
1 52 -4
1 53 0
1 54 1
1 55 -1
1 56 -1
1 57 -1
1 58 2
1 59 -2
1 60 2
1 61 -2
1 62 1
1 63 -5
1 64 -9
1 65 5
1 66 -8
1 67 3
1 68 -4
1 69 -4
2 1 -14
2 2 8
2 3 3
2 4 -8
2 5 -2
2 6 -6
2 7 11
2 8 7
2 9 -6
2 10 -4
2 11 -3
2 12 -4
2 13 3
2 14 9
2 15 1
2 16 -7
2 17 -2
2 18 -1
2 19 10
2 20 -3
2 21 -2
2 22 -3
2 23 -3
2 24 -2
2 25 -4
2 26 2
2 27 -2
2 28 -6
2 29 0
2 30 -1
2 31 -2
2 32 0
2 33 1
2 34 -3
2 35 -2
2 36 3
2 37 -6
2 38 -1
2 39 -4
2 40 -6
2 41 -2
2 42 0
2 43 0
2 44 -2
2 45 -7
2 46 -9
2 47 -3
2 48 2
2 49 -5
2 50 -2
2 51 -6
2 52 0
2 53 -4
2 54 1
2 55 0
2 56 -2
2 57 -9
2 58 2
2 59 0
2 60 4
2 61 0
2 62 0
2 63 -6
2 64 0
2 65 9
2 66 -10
2 67 -1
2 68 0
2 69 -2
3 1 8
3 2 16
3 3 4
3 4 1
3 5 10
3 6 3
3 7 0
3 8 9
3 9 2
3 10 -1
3 11 4
3 12 0
3 13 5
3 14 10
3 15 7
3 16 8
3 17 2
3 18 10
3 19 17
3 20 5
3 21 9
3 22 9
3 23 -2
3 24 3
3 25 8
3 26 5
3 27 -2
3 28 -1
3 29 2
3 30 2
3 31 4
3 32 0
3 33 8
3 34 3
3 35 5
3 36 -3
3 37 -2
3 38 4
3 39 -3
3 40 -7
3 41 2
3 42 0
3 43 2
3 44 0
3 45 0
3 46 -4
3 47 -1
3 48 0
3 49 4
3 50 3
3 51 6
3 52 9
3 53 5
3 54 0
3 55 2
3 56 1
3 57 0
3 58 5
3 59 6
3 60 -3
3 61 1
3 62 -1
3 63 4
3 64 5
3 65 5
3 66 2
3 67 2
3 68 8
3 69 4
4 1 5
4 2 21
4 3 15
4 4 7
4 5 0
4 6 6
4 7 7
4 8 9
4 9 -2
4 10 9
4 11 7
4 12 8
4 13 13
4 14 17
4 15 10
4 16 4
4 17 10
4 18 1
4 19 16
4 20 17
4 21 7
4 22 7
4 23 8
4 24 5
4 25 3
4 26 6
4 27 5
4 28 7
4 29 6
4 30 0
4 31 6
4 32 13
4 33 6
4 34 7
4 35 5
4 36 4
4 37 -1
4 38 16
4 39 2
4 40 2
4 41 6
4 42 -2
4 43 6
4 44 6
4 45 1
4 46 11
4 47 1
4 48 3
4 49 7
4 50 3
4 51 -1
4 52 4
4 53 3
4 54 3
4 55 7
4 56 3
4 57 7
4 58 0
4 59 2
4 60 -9
4 61 9
4 62 6
4 63 -2
4 64 -1
4 65 0
4 66 0
4 67 7
4 68 3
4 69 3
5 1 10
5 2 -6
5 3 -6
5 4 -5
5 5 -7
5 6 -1
5 7 5
5 8 -1
5 9 -4
5 10 -3
5 11 -6
5 12 -6
5 13 -3
5 14 0
5 15 -1
5 16 -1
5 17 -4
5 18 0
5 19 5
5 20 -4
5 21 1
5 22 -1
5 23 0
5 24 -3
5 25 -5
5 26 0
5 27 1
5 28 -3
5 29 0
5 30 0
5 31 -1
5 32 -1
5 33 -1
5 34 -4
5 35 0
5 36 2
5 37 61
5 38 -1
5 39 1
5 40 7
5 41 0
5 42 10
5 43 0
5 44 3
5 45 0
5 46 3
5 47 8
5 48 6
5 49 2
5 50 4
5 51 6
5 52 2
5 53 1
5 54 0
5 55 9
5 56 5
5 57 4
5 58 5
5 59 -7
5 60 17
5 61 7
5 62 4
5 63 4
5 64 0
5 65 8
5 66 -2
5 67 2
5 68 4
5 69 5
6 1 8
6 2 0
6 3 -7
6 4 -6
6 5 -15
6 6 -22
6 7 0
6 8 0
6 9 -2
6 10 -6
6 11 -13
6 12 -18
6 13 4
6 14 1
6 15 -6
6 16 0
6 17 -17
6 18 -5
6 19 -6
6 20 42
6 21 12
6 22 -33
6 23 -11
6 24 -27
6 25 -19
6 26 -10
6 27 -1
6 28 3
6 29 0
6 30 17
6 31 -20
6 32 -3
6 33 0
6 34 -1
6 35 -5
6 36 -5
6 37 -14
6 38 0
6 39 0
6 40 3
6 41 1
6 42 -8
6 43 -9
6 44 -1
6 45 0
6 46 0
6 47 -3
6 48 -3
6 49 -3
6 50 0
6 51 4
6 52 -1
6 53 0
6 54 0
6 55 0
6 56 1
6 57 1
6 58 2
6 59 -3
6 60 3
6 61 3
6 62 0
6 63 5
6 64 -1
6 65 -1
6 66 0
6 67 -6
6 68 -1
6 69 -1
7 1 60
7 2 50
7 3 0
7 4 11
7 5 -7
7 6 -3
7 7 7
7 8 1
7 9 -6
7 10 1
7 11 -15
7 12 -9
7 13 -5
7 14 1
7 15 -5
7 16 -10
7 17 -12
7 18 -22
7 19 12
7 20 2
7 21 -9
7 22 -10
7 23 -15
7 24 -23
7 25 -6
7 26 -1
7 27 6
7 28 3
7 29 -1
7 30 -6
7 31 -11
7 32 0
7 33 9
7 34 3
7 35 0
7 36 -8
7 37 -20
7 38 -1
7 39 1
7 40 11
7 41 1
7 42 -3
7 43 -20
7 44 -9
7 45 0
7 46 15
7 47 0
7 48 14
7 49 0
7 50 1
7 51 0
7 52 0
7 53 -2
7 54 0
7 55 -3
7 56 0
7 57 -2
7 58 4
7 59 -4
7 60 10
7 61 -4
7 62 -2
7 63 2
7 64 -2
7 65 1
7 66 -2
7 67 -1
7 68 2
7 69 9
8 1 -8
8 2 -1
8 3 1
8 4 2
8 5 0
8 6 3
8 7 -8
8 8 -6
8 9 1
8 10 1
8 11 -3
8 12 6
8 13 -3
8 14 -5
8 15 -5
8 16 10
8 17 -3
8 18 -4
8 19 3
8 20 0
8 21 -3
8 22 -8
8 23 -7
8 24 -9
8 25 3
8 26 0
8 27 0
8 28 -2
8 29 7
8 30 2
8 31 5
8 32 5
8 33 0
8 34 1
8 35 -2
8 36 0
8 37 3
8 38 3
8 39 6
8 40 3
8 41 -2
8 42 -5
8 43 -2
8 44 0
8 45 11
8 46 -11
8 47 2
8 48 -8
8 49 7
8 50 4
8 51 3
8 52 0
8 53 -1
8 54 4
8 55 0
8 56 0
8 57 2
8 58 12
8 59 -8
8 60 15
8 61 2
8 62 3
8 63 7
8 64 0
8 65 3
8 66 -3
8 67 6
8 68 5
8 69 4
9 1 6
9 2 9
9 3 14
9 4 14
9 5 7
9 6 -3
9 7 0
9 8 13
9 9 15
9 10 10
9 11 7
9 12 -5
9 13 -5
9 14 11
9 15 11
9 16 16
9 17 2
9 18 13
9 19 28
9 20 -55
9 21 -4
9 22 38
9 23 -1
9 24 0
9 25 -11
9 26 2
9 27 -2
9 28 -2
9 29 0
9 30 -3
9 31 -11
9 32 9
9 33 -2
9 34 -10
9 35 6
9 36 -15
9 37 1
9 38 5
9 39 1
9 40 6
9 41 4
9 42 7
9 43 5
9 44 -1
9 45 8
9 46 5
9 47 4
9 48 1
9 49 -1
9 50 4
9 51 11
9 52 -1
9 53 3
9 54 0
9 55 4
9 56 0
9 57 2
9 58 -5
9 59 -26
9 60 2
9 61 8
9 62 6
9 63 6
9 64 -5
9 65 4
9 66 -1
9 67 0
9 68 3
9 69 2
10 1 -1
10 2 32
10 3 15
10 4 4
10 5 1
10 6 -9
10 7 0
10 8 6
10 9 7
10 10 2
10 11 0
10 12 2
10 13 -5
10 14 6
10 15 9
10 16 0
10 17 -3
10 18 0
10 19 5
10 20 9
10 21 10
10 22 9
10 23 4
10 24 -6
10 25 -6
10 26 0
10 27 -1
10 28 -2
10 29 0
10 30 -3
10 31 -19
10 32 9
10 33 -2
10 34 -3
10 35 2
10 36 0
10 37 -7
10 38 0
10 39 8
10 40 1
10 41 2
10 42 0
10 43 -6
10 44 0
10 45 -2
10 46 -7
10 47 1
10 48 6
10 49 0
10 50 5
10 51 3
10 52 -3
10 53 -3
10 54 7
10 55 -1
10 56 5
10 57 3
10 58 3
10 59 -3
10 60 12
10 61 -5
10 62 2
10 63 6
10 64 1
10 65 0
10 66 2
10 67 1
10 68 0
10 69 11
11 1 3
11 2 7
11 3 2
11 4 3
11 5 4
11 6 -2
11 7 -4
11 8 6
11 9 -10
11 10 10
11 11 -2
11 12 0
11 13 6
11 14 5
11 15 13
11 16 7
11 17 -1
11 18 -5
11 19 15
11 20 1
11 21 10
11 22 -4
11 23 4
11 24 -6
11 25 -6
11 26 2
11 27 1
11 28 -3
11 29 0
11 30 -1
11 31 -4
11 32 0
11 33 2
11 34 -3
11 35 -1
11 36 0
11 37 -5
11 38 -1
11 39 -1
11 40 -2
11 41 0
11 42 5
11 43 -5
11 44 0
11 45 0
11 46 1
11 47 4
11 48 -1
11 49 -2
11 50 2
11 51 -4
11 52 -3
11 53 -4
11 54 7
11 55 0
11 56 2
11 57 -2
11 58 4
11 59 7
11 60 4
11 61 1
11 62 1
11 63 3
11 64 -5
11 65 4
11 66 -3
11 67 -1
11 68 1
11 69 2
12 1 5
12 2 43
12 3 2
12 4 -8
12 5 -8
12 6 -7
12 7 -1
12 8 13
12 9 4
12 10 -4
12 11 -2
12 12 -5
12 13 6
12 14 12
12 15 7
12 16 13
12 17 -2
12 18 8
12 19 25
12 20 -8
12 21 4
12 22 17
12 23 1
12 24 -1
12 25 -1
12 26 -1
12 27 -4
12 28 -7
12 29 -7
12 30 -5
12 31 -11
12 32 4
12 33 7
12 34 -17
12 35 -5
12 36 -12
12 37 3
12 38 0
12 39 -3
12 40 -5
12 41 -5
12 42 -4
12 43 -7
12 44 0
12 45 2
12 46 -4
12 47 -1
12 48 -4
12 49 -3
12 50 0
12 51 1
12 52 -7
12 53 -5
12 54 4
12 55 -1
12 56 0
12 57 -2
12 58 1
12 59 0
12 60 4
12 61 1
12 62 -1
12 63 3
12 64 -8
12 65 8
12 66 -2
12 67 -7
12 68 1
12 69 -6
Adjuster movements: rms = 27.5 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041115-163848
Creating HTML output file of plots
Plotting summary text