![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20041111-212945.fits
Reduced on 20041115-161736 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 | rxh3-20041111-212945.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -0.83 |
| data.pointing_offset_y | 12.40 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.88 |
| 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 | 0.03388 |
| 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: 20041115-161736
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20041111-212945.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 = 2402.9 max = 2430.9 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.880 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 -3.06641 3.07373 -0.02181
loimag -3.27637 3.11768 0.00176
hireal -5.00000 4.99756 -0.32188
hiimag -5.00000 4.99756 -0.13524
xpos -2430.92255 2419.06888 -8.89285
ypos -2402.90334 2402.87572 -0.00446
plock160 0.58838 2.05322 1.37742
lorefpwr 0.28809 1.67236 1.22387
losigpwr -4.55322 -0.15625 -4.37225
hirefpwr 0.35645 1.70898 1.27316
hisigpwr -4.46289 4.99756 -0.78060
encltemp 31.51855 32.78809 32.08847
flags 0.00000 256.00000 2.76738
phi-lock -1.49658 -0.11230 -0.82768
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.99394 1473.10865
zeropt -0.00732 -0.00244 -0.00489
!!!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 = 40.00636 arcsec
Mean row spacing = 40.00640 arcsec (alternate estimator)
Mean tracking incline = -0.25808 arcsec
Mean pointing range = 0.78029 arcsec
Mean pointing rms = 0.15325 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-0.83, 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: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22678 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22678 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 = 2430.92 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 = 2.94797 at (0.0, 0.0) arcsec
Real: mean = 0.000976705 sum of squares = 1055.85
Imag: mean = -0.00134172 sum of squares = 908.348
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 = 2.93396 at (0.0, 0.0) arcsec
Real: mean = 0.000838278 sum of squares = 983.269
Imag: mean = -0.00197364 sum of squares = 979.932
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 = 2.94134 at (0.0, 0.0) arcsec
Real: mean = 0.00112086 sum of squares = 911.248
Imag: mean = -0.00268235 sum of squares = 1053.02
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 = 2.95468 at (0.0, 0.0) arcsec
Real: mean = 0.00173946 sum of squares = 886.161
Imag: mean = -0.00312552 sum of squares = 1079.86
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 = 2.99829 at (0.0, 0.0) arcsec
Real: mean = 0.00240936 sum of squares = 930.428
Imag: mean = -0.00311402 sum of squares = 1038.85
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 = 3.04651 at (0.0, 0.0) arcsec
Real: mean = 0.00285288 sum of squares = 1017.49
Imag: mean = -0.00288951 sum of squares = 957.531
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 = 3.10816 at (0.0, 0.0) arcsec
Real: mean = 0.00317629 sum of squares = 1087.22
Imag: mean = -0.00269558 sum of squares = 893.822
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 = 3.14071 at (0.0, 0.0) arcsec
Real: mean = 0.00357216 sum of squares = 1086.58
Imag: mean = -0.00243574 sum of squares = 900.889
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 = 3.15829 at (0.0, 0.0) arcsec
Real: mean = 0.00395533 sum of squares = 1014.03
Imag: mean = -0.00184706 sum of squares = 978.302
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 = 3.13914 at (0.0, 0.0) arcsec
Real: mean = 0.00388668 sum of squares = 929.841
Imag: mean = -0.00099918 sum of squares = 1066.73
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 = 3.11794 at (0.0, 0.0) arcsec
Real: mean = 0.00325189 sum of squares = 898.007
Imag: mean = -0.000357114 sum of squares = 1100.21
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 = 3.07187 at (0.0, 0.0) arcsec
Real: mean = 0.00241992 sum of squares = 941.31
Imag: mean = -0.000266259 sum of squares = 1058.74
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 = 3.04171 at (0.0, 0.0) arcsec
Real: mean = 0.0019124 sum of squares = 1027.46
Imag: mean = -0.000635417 sum of squares = 975.752
Gridding frequency index 13
lambda = 0.00373043 metres, scale = 0.00129962 radians per metre
Gridding real part of frequency 13...
Gridding imag part of frequency 13...
Pattern is holo(res.pattern13)
Weights in holo(obs.real,wt13) and holo(obs.imag,wt13)
Maximum amplitude = 2.99991 at (0.0, 0.0) arcsec
Real: mean = 0.00173069 sum of squares = 1092.89
Imag: mean = -0.00100411 sum of squares = 913.915
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 = 2.99495 at (0.0, 0.0) arcsec
Real: mean = 0.00152971 sum of squares = 1097.56
Imag: mean = -0.00124812 sum of squares = 913.614
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 = 2.99125 at (0.0, 0.0) arcsec
Real: mean = 0.0013646 sum of squares = 1038.78
Imag: mean = -0.00166456 sum of squares = 975.775
Masking frequency index 0
Mask scale size = 3.05937
Masking frequency index 1
Mask scale size = 3.05945
Masking frequency index 2
Mask scale size = 3.05953
Masking frequency index 3
Mask scale size = 3.0596
Masking frequency index 4
Mask scale size = 3.05968
Masking frequency index 5
Mask scale size = 3.05975
Masking frequency index 6
Mask scale size = 3.05983
Masking frequency index 7
Mask scale size = 3.05991
Masking frequency index 8
Mask scale size = 3.05998
Masking frequency index 9
Mask scale size = 3.06006
Masking frequency index 10
Mask scale size = 3.06014
Masking frequency index 11
Mask scale size = 3.06021
Masking frequency index 12
Mask scale size = 3.06029
Masking frequency index 13
Mask scale size = 3.06036
Masking frequency index 14
Mask scale size = 3.06044
Masking frequency index 15
Mask scale size = 3.06052
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.214844
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.214844
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.185547
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: 0.197754
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.163574
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.17334
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.185547
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: 0.170898
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0146484
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 0.29606 107.6
Freq 1: Shift, scale = -0.13556 106.76
Freq 2: Shift, scale = -0.56714 105.65
Freq 3: Shift, scale = -0.9991 104.14
Freq 4: Shift, scale = -1.4343 102.5
Freq 5: Shift, scale = -1.8723 101.3
Freq 6: Shift, scale = -2.3156 100.98
Freq 7: Shift, scale = -2.7652 101.65
Freq 8: Shift, scale = 3.068 103.12
Freq 9: Shift, scale = 2.617 104.36
Freq 10: Shift, scale = 2.1732 105.6
Freq 11: Shift, scale = 1.7382 106.81
Freq 12: Shift, scale = 1.3071 108.03
Freq 13: Shift, scale = 0.87743 108.95
Freq 14: Shift, scale = 0.44587 109.41
Freq 15: Shift, scale = 0.013421 108.61
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: -0.208 radians
x offset: 0.0866 arcsec
y offset: -0.0414 arcsec
defocus: -0.00897 mm
Estimated x pointing error is -0.7434 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.36 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.871 mm (used 2.88 mm)
Fitting frequency 1
Minimiser fit code = 3
piston: -0.2 radians
x offset: 0.0802 arcsec
y offset: -0.018 arcsec
defocus: -0.00838 mm
Estimated x pointing error is -0.7498 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.38 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.872 mm (used 2.88 mm)
Fitting frequency 2
Minimiser fit code = 3
piston: -0.195 radians
x offset: 0.0848 arcsec
y offset: 0.00552 arcsec
defocus: -0.00926 mm
Estimated x pointing error is -0.7452 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.41 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.871 mm (used 2.88 mm)
Fitting frequency 3
Minimiser fit code = 3
piston: -0.191 radians
x offset: 0.0696 arcsec
y offset: 0.0407 arcsec
defocus: -0.0113 mm
Estimated x pointing error is -0.7604 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.44 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.869 mm (used 2.88 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.189 radians
x offset: 0.0603 arcsec
y offset: 0.057 arcsec
defocus: -0.0123 mm
Estimated x pointing error is -0.7697 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.46 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.868 mm (used 2.88 mm)
Fitting frequency 5
Minimiser fit code = 3
piston: -0.189 radians
x offset: 0.0523 arcsec
y offset: 0.0697 arcsec
defocus: -0.0127 mm
Estimated x pointing error is -0.7777 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.47 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.867 mm (used 2.88 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.194 radians
x offset: 0.0314 arcsec
y offset: 0.0607 arcsec
defocus: -0.011 mm
Estimated x pointing error is -0.7986 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.46 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.869 mm (used 2.88 mm)
Fitting frequency 7
Minimiser fit code = 3
piston: -0.205 radians
x offset: 0.0285 arcsec
y offset: 0.0373 arcsec
defocus: -0.0108 mm
Estimated x pointing error is -0.8015 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.44 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.869 mm (used 2.88 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.217 radians
x offset: 0.0314 arcsec
y offset: -0.0022 arcsec
defocus: -0.0113 mm
Estimated x pointing error is -0.7986 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.4 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.869 mm (used 2.88 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.23 radians
x offset: 0.0683 arcsec
y offset: -0.0391 arcsec
defocus: -0.0111 mm
Estimated x pointing error is -0.7617 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.36 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.869 mm (used 2.88 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.236 radians
x offset: 0.111 arcsec
y offset: -0.0796 arcsec
defocus: -0.0119 mm
Estimated x pointing error is -0.7189 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.32 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.868 mm (used 2.88 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.233 radians
x offset: 0.154 arcsec
y offset: -0.106 arcsec
defocus: -0.0123 mm
Estimated x pointing error is -0.6764 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.29 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.868 mm (used 2.88 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.227 radians
x offset: 0.184 arcsec
y offset: -0.0925 arcsec
defocus: -0.0144 mm
Estimated x pointing error is -0.6457 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.31 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.866 mm (used 2.88 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.219 radians
x offset: 0.194 arcsec
y offset: -0.0668 arcsec
defocus: -0.0164 mm
Estimated x pointing error is -0.6357 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.33 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.864 mm (used 2.88 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.212 radians
x offset: 0.185 arcsec
y offset: -0.0435 arcsec
defocus: -0.0176 mm
Estimated x pointing error is -0.6453 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.36 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.862 mm (used 2.88 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.205 radians
x offset: 0.178 arcsec
y offset: -0.0259 arcsec
defocus: -0.0174 mm
Estimated x pointing error is -0.6522 arcsec (used -0.83 arcsec)
Estimated y pointing error is 12.37 arcsec (used 12.4 arcsec)
Estimated defocus error is 2.863 mm (used 2.88 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 0.00015 piston
1 1 -0.00148 tilt_x
1 -1 -0.00315 tilt_y
2 2 0.02738 astigmatism_0
2 0 0.00169 curvature
2 -2 0.01192 astigmatism45
3 3 0.01964 trefoil_0
3 1 -0.01087 coma_x
3 -1 -0.01260 coma_y
3 -3 0.00669 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 0.00023 piston
1 1 -0.00171 tilt_x
1 -1 -0.00296 tilt_y
2 2 0.02748 astigmatism_0
2 0 0.00197 curvature
2 -2 0.01150 astigmatism45
3 3 0.01974 trefoil_0
3 1 -0.01155 coma_x
3 -1 -0.01203 coma_y
3 -3 0.00616 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 0.00029 piston
1 1 -0.00134 tilt_x
1 -1 -0.00209 tilt_y
2 2 0.02693 astigmatism_0
2 0 0.00230 curvature
2 -2 0.01083 astigmatism45
3 3 0.01905 trefoil_0
3 1 -0.01024 coma_x
3 -1 -0.00934 coma_y
3 -3 0.00540 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 0.00031 piston
1 1 -0.00026 tilt_x
1 -1 -0.00081 tilt_y
2 2 0.02819 astigmatism_0
2 0 0.00260 curvature
2 -2 0.01025 astigmatism45
3 3 0.01747 trefoil_0
3 1 -0.00730 coma_x
3 -1 -0.00552 coma_y
3 -3 0.00367 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 0.00030 piston
1 1 0.00097 tilt_x
1 -1 0.00054 tilt_y
2 2 0.02942 astigmatism_0
2 0 0.00279 curvature
2 -2 0.01014 astigmatism45
3 3 0.01628 trefoil_0
3 1 -0.00381 coma_x
3 -1 -0.00150 coma_y
3 -3 0.00335 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 0.00028 piston
1 1 0.00164 tilt_x
1 -1 0.00142 tilt_y
2 2 0.03024 astigmatism_0
2 0 0.00282 curvature
2 -2 0.01043 astigmatism45
3 3 0.01595 trefoil_0
3 1 -0.00202 coma_x
3 -1 0.00098 coma_y
3 -3 0.00318 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 0.00022 piston
1 1 0.00190 tilt_x
1 -1 0.00167 tilt_y
2 2 0.03111 astigmatism_0
2 0 0.00257 curvature
2 -2 0.01135 astigmatism45
3 3 0.01524 trefoil_0
3 1 -0.00159 coma_x
3 -1 0.00159 coma_y
3 -3 0.00339 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 0.00017 piston
1 1 0.00169 tilt_x
1 -1 0.00089 tilt_y
2 2 0.03169 astigmatism_0
2 0 0.00225 curvature
2 -2 0.01125 astigmatism45
3 3 0.01648 trefoil_0
3 1 -0.00237 coma_x
3 -1 -0.00048 coma_y
3 -3 0.00444 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 0.00012 piston
1 1 0.00142 tilt_x
1 -1 -0.00015 tilt_y
2 2 0.03205 astigmatism_0
2 0 0.00190 curvature
2 -2 0.01142 astigmatism45
3 3 0.01677 trefoil_0
3 1 -0.00336 coma_x
3 -1 -0.00326 coma_y
3 -3 0.00671 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 0.00014 piston
1 1 0.00165 tilt_x
1 -1 -0.00128 tilt_y
2 2 0.03251 astigmatism_0
2 0 0.00189 curvature
2 -2 0.01075 astigmatism45
3 3 0.01708 trefoil_0
3 1 -0.00275 coma_x
3 -1 -0.00607 coma_y
3 -3 0.00979 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 0.00017 piston
1 1 0.00140 tilt_x
1 -1 -0.00201 tilt_y
2 2 0.03085 astigmatism_0
2 0 0.00187 curvature
2 -2 0.01050 astigmatism45
3 3 0.01643 trefoil_0
3 1 -0.00314 coma_x
3 -1 -0.00816 coma_y
3 -3 0.01175 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 0.00019 piston
1 1 0.00120 tilt_x
1 -1 -0.00164 tilt_y
2 2 0.03032 astigmatism_0
2 0 0.00195 curvature
2 -2 0.00967 astigmatism45
3 3 0.01581 trefoil_0
3 1 -0.00361 coma_x
3 -1 -0.00707 coma_y
3 -3 0.01150 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 0.00021 piston
1 1 0.00065 tilt_x
1 -1 -0.00145 tilt_y
2 2 0.03064 astigmatism_0
2 0 0.00198 curvature
2 -2 0.00872 astigmatism45
3 3 0.01465 trefoil_0
3 1 -0.00544 coma_x
3 -1 -0.00640 coma_y
3 -3 0.00946 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 0.00023 piston
1 1 0.00062 tilt_x
1 -1 -0.00103 tilt_y
2 2 0.03156 astigmatism_0
2 0 0.00212 curvature
2 -2 0.00907 astigmatism45
3 3 0.01392 trefoil_0
3 1 -0.00587 coma_x
3 -1 -0.00546 coma_y
3 -3 0.00704 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 0.00027 piston
1 1 0.00038 tilt_x
1 -1 -0.00062 tilt_y
2 2 0.03248 astigmatism_0
2 0 0.00230 curvature
2 -2 0.00765 astigmatism45
3 3 0.01324 trefoil_0
3 1 -0.00677 coma_x
3 -1 -0.00392 coma_y
3 -3 0.00525 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 0.00030 piston
1 1 0.00009 tilt_x
1 -1 0.00008 tilt_y
2 2 0.03314 astigmatism_0
2 0 0.00246 curvature
2 -2 0.00770 astigmatism45
3 3 0.01342 trefoil_0
3 1 -0.00763 coma_x
3 -1 -0.00196 coma_y
3 -3 0.00433 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: 29.4 19.3 19.4 21.1 23 23.4 35.3 27
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.4 19.1 19.1 20.7 22.4 22.4 36.5 27
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.967 1.85 2.44 2.87 3.56 4.91 7.14 4.61
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.4 19.1 19.5 21 22.9 23.5 35 27.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.4 18.9 19.2 20.6 22.3 22.5 36.1 27.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.969 1.85 2.44 2.86 3.54 4.89 7.12 4.6
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.3 18.8 19.4 21.2 23.1 23.4 34.8 27.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.3 18.6 19.2 20.8 22.5 22.4 35.9 27.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.81 1.56 2.11 2.58 3.37 4.74 6.81 4.38
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 18.9 19.3 21.7 23.3 23.7 34.9 27.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 18.8 19.1 21.4 22.7 22.6 36.1 27.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.548 1.12 1.65 2.27 3.29 4.75 6.66 4.26
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 19.3 19.2 22 23.8 24.1 35.2 28
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 19.3 19 21.8 23.2 23 36.4 28
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.287 0.723 1.31 2.1 3.3 4.83 6.67 4.25
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.5 19.7 19.7 22.7 24.1 24.8 35.7 28.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.5 19.6 19.4 22.5 23.4 23.7 37 28.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.212 0.64 1.26 2.11 3.36 4.92 6.79 4.32
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.7 19.6 20.5 23.4 24.4 25.3 36.2 28.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.7 19.5 20.2 23.2 23.7 24.1 37.5 28.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.216 0.659 1.31 2.18 3.45 5.04 6.94 4.41
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 19.5 21.4 23.9 24.3 25.6 36.3 28.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 19.5 21.1 23.7 23.6 24.5 37.6 28.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.224 0.675 1.33 2.22 3.53 5.17 7.13 4.53
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32 19.6 21.8 23.7 24.1 25.6 36.2 28.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32 19.5 21.5 23.5 23.4 24.4 37.5 28.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.322 0.803 1.45 2.31 3.61 5.27 7.3 4.63
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 19.6 21.8 22.8 23.8 25.1 35.8 27.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 19.4 21.5 22.4 23.1 23.8 37.2 27.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.421 0.951 1.59 2.43 3.69 5.38 7.51 4.76
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.1 19.3 21 23.2 23.5 24.6 35.5 27.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.1 19.1 20.7 22.9 22.9 23.3 36.8 27.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.528 1.11 1.71 2.45 3.59 5.2 7.33 4.65
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33 19.2 19.9 23.2 23.1 24 35.1 27.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33 19 19.6 22.8 22.5 22.9 36.4 27.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.483 1.03 1.61 2.35 3.49 5.07 7.13 4.52
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.3 19.3 19.2 22.3 22.6 23.6 34.4 26.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.3 19.1 18.9 22 22 22.5 35.7 26.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.509 1.07 1.64 2.34 3.44 4.97 6.97 4.43
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.2 19.4 19.2 21.4 22.5 23.2 33.8 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.2 19.3 19 21.1 21.9 22 35 26.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.491 1.04 1.63 2.35 3.47 5.01 6.99 4.45
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.5 19.4 19.5 20.9 22.6 23 33.7 26.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.5 19.3 19.3 20.6 22 21.8 35 26.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.482 1.03 1.62 2.34 3.48 5.03 6.99 4.46
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.8 19.6 19.8 20.8 23.1 22.8 33.9 27
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.8 19.5 19.5 20.4 22.5 21.6 35.2 26.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.487 1.04 1.64 2.37 3.54 5.11 7.09 4.53
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 17.8 18.4 20.1 22 22.4 33.5 25.9
Mean deviation is 1.4144446307991869 microns
Taper = 10 dB, Ruze illumination-weighted rms = 24.9 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 = 22.1 micron
Centre pixel: 64.0 64.0 Value = 2856.06 (estimate), 3426.12 (perfect)
Strehl = 0.694911
Strehl ratio estimate = 0.6949
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 = 21.7 micron
Centre pixel: 64.0 64.0 Value = 2447.48 (estimate), 3426.12 (perfect)
Strehl = 0.510311
Strehl ratio estimate = 0.5103
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 -8.6 3.9 4.0 10.3
2 1 2 10.0 1.7 17.6 20.3
3 1 3 6.7 32.9 -40.3 52.4
4 1 4 10.6 -8.9 -18.5 23.2
5 1 5 -17.4 12.5 56.3 60.2
6 1 6 -8.9 7.7 22.0 24.9
7 1 7 -8.7 22.2 40.2 46.8
8 1 8 -14.7 44.4 52.1 70.1
9 1 9 -82.1 3.0 8.9 82.6
10 1 10 -13.8 0.1 40.2 42.5
11 1 11 28.2 20.2 11.3 36.5
12 1 12 -2.3 5.1 9.8 11.3
13 2 1 24.5 -30.1 -28.9 48.3
14 2 2 9.3 4.3 -7.8 12.9
15 2 3 27.9 -23.1 -15.3 39.3
16 2 4 7.0 -7.5 -1.5 10.4
17 2 5 21.9 -1.2 -0.9 21.9
18 2 6 2.1 30.7 17.6 35.4
19 2 7 -13.2 -4.0 13.0 18.9
20 2 8 14.9 19.7 0.6 24.7
21 2 9 15.9 0.7 4.9 16.6
22 2 10 5.7 12.0 16.0 20.8
23 2 11 13.8 0.4 -2.9 14.1
24 2 12 12.3 -5.0 -6.4 14.8
25 2 13 21.8 -11.3 -14.3 28.4
26 2 14 16.7 -7.9 2.0 18.5
27 2 15 29.2 -4.1 -8.1 30.6
28 2 16 32.4 5.1 8.5 33.9
29 2 17 16.0 14.1 7.7 22.7
30 2 18 8.9 10.3 15.7 20.8
31 2 19 -2.9 -1.6 -6.3 7.1
32 2 20 24.3 -25.8 3.4 35.6
33 2 21 21.3 9.4 -2.2 23.4
34 2 22 40.2 -16.8 -17.1 46.8
35 2 23 25.8 -6.8 -8.8 28.1
36 2 24 19.6 -19.2 -22.1 35.3
37 3 1 -11.3 6.7 -3.2 13.5
38 3 2 -1.1 -3.4 -0.8 3.7
39 3 3 -22.5 -5.3 -7.1 24.2
40 3 4 -13.6 -13.1 15.4 24.3
41 3 5 -30.4 3.9 7.5 31.6
42 3 6 -18.4 -5.7 -4.1 19.7
43 3 7 -8.7 -8.2 -12.3 17.2
44 3 8 0.0 7.0 -5.5 8.9
45 3 9 -1.7 0.7 6.8 7.1
46 3 10 -6.2 5.5 -13.2 15.6
47 3 11 23.6 13.8 -0.2 27.3
48 3 12 -8.4 25.2 -2.6 26.7
49 3 13 -12.5 13.9 8.5 20.6
50 3 14 9.3 6.9 13.5 17.8
51 3 15 -2.9 3.8 27.0 27.4
52 3 16 21.5 4.5 25.5 33.7
53 3 17 18.3 10.3 23.9 31.8
54 3 18 24.3 10.3 16.4 31.0
55 3 19 14.7 10.4 -6.0 19.0
56 3 20 6.7 2.5 -0.0 7.1
57 3 21 -0.6 -3.8 11.3 11.9
58 3 22 -10.3 -4.5 1.6 11.3
59 3 23 11.0 -1.2 -5.5 12.3
60 3 24 -27.9 0.7 -16.2 32.3
61 3 25 -17.2 -4.5 -12.0 21.5
62 3 26 -7.0 -0.6 -5.6 9.0
63 3 27 -11.8 -1.8 0.0 11.9
64 3 28 14.1 7.5 0.7 16.0
65 3 29 18.0 6.4 0.1 19.1
66 3 30 8.9 -3.9 -12.6 16.0
67 3 31 14.4 10.6 9.9 20.5
68 3 32 22.6 21.6 8.2 32.3
69 3 33 33.5 21.4 36.5 54.0
70 3 34 18.4 -0.4 30.4 35.6
71 3 35 48.2 14.8 8.2 51.1
72 3 36 20.5 7.6 3.5 22.1
73 3 37 9.7 6.7 -19.2 22.6
74 3 38 4.6 20.9 -6.1 22.2
75 3 39 18.1 29.6 -8.0 35.6
76 3 40 34.1 4.6 -3.1 34.6
77 3 41 12.5 8.2 5.4 15.9
78 3 42 1.9 4.4 -6.4 8.0
79 3 43 -3.8 3.1 -9.6 10.8
80 3 44 -4.4 6.7 6.9 10.6
81 3 45 14.2 -5.6 7.0 16.8
82 3 46 -7.0 1.5 -2.4 7.6
83 3 47 5.6 1.4 -4.5 7.3
84 3 48 -12.8 4.9 -20.4 24.6
85 4 1 9.3 -21.7 0.2 23.7
86 4 2 0.8 -16.6 15.9 23.0
87 4 3 3.5 -19.2 -51.4 55.0
88 4 4 6.4 -4.9 -43.3 44.0
89 4 5 7.9 -0.2 -12.4 14.7
90 4 6 12.0 -3.2 -11.2 16.7
91 4 7 5.3 -7.4 -8.0 12.1
92 4 8 -1.7 3.1 -22.4 22.7
93 4 9 9.6 -11.4 -16.3 22.1
94 4 10 0.0 7.2 -25.0 26.0
95 4 11 -35.9 16.9 -9.7 40.9
96 4 12 5.2 23.6 -21.9 32.6
97 4 13 -2.2 -10.0 17.5 20.3
98 4 14 -5.4 14.1 7.8 17.0
99 4 15 10.9 8.6 9.0 16.5
100 4 16 -11.0 11.0 10.5 18.8
101 4 17 7.2 16.1 1.7 17.7
102 4 18 24.9 -3.4 14.7 29.1
103 4 19 2.4 -6.5 -12.7 14.5
104 4 20 0.6 -6.7 -10.5 12.5
105 4 21 -17.0 -18.8 2.2 25.4
106 4 22 -30.9 -0.9 8.1 32.0
107 4 23 -30.2 -18.1 -14.8 38.2
108 4 24 53.4 3.2 5.4 53.8
109 4 25 49.8 3.2 38.9 63.3
110 4 26 -12.0 6.2 27.0 30.2
111 4 27 -23.9 -1.8 3.7 24.2
112 4 28 -23.3 -17.1 11.7 31.1
113 4 29 -23.3 -1.7 -44.6 50.4
114 4 30 -23.2 -15.3 7.2 28.7
115 4 31 -2.5 -14.3 -4.8 15.3
116 4 32 -3.6 12.3 -6.5 14.3
117 4 33 -3.3 1.9 4.8 6.2
118 4 34 26.0 10.1 -0.9 27.9
119 4 35 -37.4 27.9 -18.2 50.1
120 4 36 -24.4 -6.9 -23.7 34.7
121 4 37 32.3 7.4 -3.7 33.3
122 4 38 6.2 -4.3 -5.0 9.0
123 4 39 -4.9 9.1 -12.8 16.4
124 4 40 -5.9 -5.4 -6.8 10.5
125 4 41 -5.5 7.6 -6.1 11.2
126 4 42 8.0 -2.6 -1.1 8.5
127 4 43 12.9 -1.6 -2.6 13.3
128 4 44 -8.1 8.0 7.1 13.4
129 4 45 0.7 4.4 -10.0 11.0
130 4 46 18.9 -13.8 -32.3 39.9
131 4 47 -8.4 -13.0 -27.1 31.2
132 4 48 -8.8 -23.4 -17.3 30.4
133 5 1 -11.0 -4.1 -10.7 15.9
134 5 2 28.0 21.9 -43.4 56.1
135 5 3 -39.7 -5.7 -18.8 44.3
136 5 4 -2.9 -9.4 -2.4 10.2
137 5 5 -22.9 -8.9 6.2 25.4
138 5 6 5.7 6.4 -34.1 35.2
139 5 7 14.1 10.3 3.9 17.9
140 5 8 -3.9 -2.5 -1.5 4.9
141 5 9 -10.8 0.3 -5.6 12.1
142 5 10 -12.9 6.3 -3.5 14.8
143 5 11 13.7 -3.1 3.2 14.4
144 5 12 -14.3 1.8 21.2 25.6
145 5 13 -9.5 8.3 13.8 18.7
146 5 14 10.1 39.3 -8.9 41.6
147 5 15 9.7 27.9 8.6 30.8
148 5 16 20.6 11.6 11.8 26.5
149 5 17 -10.3 4.4 1.9 11.3
150 5 18 5.6 -9.5 188.8 189.1
151 5 19 -4.4 -12.9 -12.5 18.6
152 5 20 -6.2 -9.1 -20.8 23.6
153 5 21 -7.4 -11.9 -28.2 31.5
154 5 22 -5.4 0.4 -53.5 53.7
155 5 23 -6.8 -7.8 -49.9 51.0
156 5 24 -16.2 -28.4 -38.5 50.5
157 5 25 -15.3 -29.6 -41.3 53.1
158 5 26 -1.8 -2.2 -48.5 48.5
159 5 27 20.2 0.9 -26.5 33.3
160 5 28 13.8 -9.8 -15.5 22.9
161 5 29 19.5 -2.6 -10.6 22.4
162 5 30 5.6 -13.5 7.4 16.4
163 5 31 0.0 -6.8 -13.9 15.5
164 5 32 -16.9 -19.9 -5.5 26.7
165 5 33 17.3 -25.9 -4.1 31.5
166 5 34 -4.5 -0.9 7.9 9.1
167 5 35 24.1 17.9 -33.3 44.9
168 5 36 -9.1 -2.7 -33.8 35.1
169 5 37 0.3 7.8 -12.9 15.1
170 5 38 -6.2 -5.6 -40.7 41.5
171 5 39 -17.5 25.5 -70.7 77.1
172 5 40 -1.7 -7.2 -23.0 24.2
173 5 41 -1.0 -5.3 2.4 5.9
174 5 42 5.2 -1.5 -18.0 18.7
175 5 43 17.3 1.7 -29.2 34.0
176 5 44 -14.2 9.7 -7.7 18.9
177 5 45 1.2 -2.7 -17.9 18.1
178 5 46 -1.0 -14.1 46.1 48.3
179 5 47 48.4 15.2 -56.9 76.3
180 5 48 1.8 -3.2 -17.9 18.3
181 6 1 -0.8 -18.5 -19.1 26.6
182 6 2 4.8 -19.0 -28.6 34.6
183 6 3 31.6 -13.2 9.1 35.4
184 6 4 -16.7 -10.8 18.7 27.3
185 6 5 -12.4 -3.0 3.8 13.3
186 6 6 1.8 -6.8 -22.3 23.4
187 6 7 -10.6 -11.4 -18.5 24.2
188 6 8 -11.2 -4.9 -34.1 36.2
189 6 9 14.8 -16.5 55.9 60.1
190 6 10 20.9 -4.5 15.6 26.5
191 6 11 -6.3 1.5 -14.5 15.8
192 6 12 8.5 8.3 1.0 11.9
193 6 13 9.6 8.2 16.7 21.0
194 6 14 -1.5 14.9 11.3 18.7
195 6 15 26.7 10.6 33.4 44.0
196 6 16 5.3 1.7 19.1 19.9
197 6 17 -19.5 -5.5 -10.2 22.6
198 6 18 -21.5 -9.0 1.6 23.4
199 6 19 -21.6 -15.7 19.7 33.1
200 6 20 1.5 -6.8 -1.8 7.2
201 6 21 -60.9 -19.4 -78.7 101.4
202 6 22 29.8 -41.8 0.5 51.4
203 6 23 -21.7 -26.6 -20.8 40.2
204 6 24 -31.7 -30.5 -25.1 50.7
205 6 25 -31.1 -31.3 -32.0 54.5
206 6 26 -16.0 -15.0 -34.5 40.8
207 6 27 24.3 -22.0 4.3 33.1
208 6 28 -5.2 20.2 137.3 138.8
209 6 29 -41.6 5.3 11.5 43.5
210 6 30 -18.8 -10.3 58.6 62.4
211 6 31 -15.9 -10.8 5.0 19.9
212 6 32 -17.2 -26.7 -13.9 34.7
213 6 33 -2.1 -23.9 108.9 111.5
214 6 34 32.7 2.3 29.3 44.0
215 6 35 -25.4 8.0 32.4 42.0
216 6 36 -24.9 30.7 38.7 55.3
217 6 37 -28.0 23.1 25.2 44.2
218 6 38 -29.9 -3.5 -16.6 34.4
219 6 39 0.8 -5.0 8.6 10.0
220 6 40 -67.3 24.5 -3.1 71.7
221 6 41 -19.2 14.0 -6.2 24.6
222 6 42 -11.6 -9.3 32.0 35.2
223 6 43 8.3 -6.9 -3.8 11.4
224 6 44 -17.5 8.3 16.8 25.6
225 6 45 -10.5 -2.5 96.7 97.3
226 6 46 27.2 -15.6 29.1 42.8
227 6 47 -14.5 -17.1 -18.4 29.0
228 6 48 -28.8 -17.6 -22.6 40.6
229 7 1 -31.7 27.3 14.8 44.4
230 7 2 -27.1 -2.3 -5.8 27.8
231 7 3 4.2 5.0 1.3 6.7
232 7 4 14.3 6.0 49.3 51.7
233 7 5 4.2 7.4 54.2 54.9
234 7 6 15.9 44.3 36.1 59.4
235 7 7 -22.2 33.6 34.8 53.2
236 7 8 12.4 9.0 -43.5 46.1
237 7 9 16.0 19.1 36.4 44.1
238 7 10 18.0 21.6 -0.6 28.1
239 7 11 -2.2 5.3 -22.5 23.3
240 7 12 10.2 26.1 13.8 31.2
241 7 13 14.5 29.7 41.7 53.2
242 7 14 19.0 50.8 22.8 58.8
243 7 15 -16.4 28.0 10.9 34.3
244 7 16 41.9 66.1 12.1 79.2
245 7 17 9.5 -9.0 18.9 23.0
246 7 18 7.5 10.5 -16.2 20.7
247 7 19 4.1 4.7 23.6 24.5
248 7 20 3.6 -23.1 26.2 35.1
249 7 21 25.6 68.3 13.9 74.2
250 7 22 -23.0 15.3 29.4 40.4
251 7 23 11.1 12.1 27.7 32.2
252 7 24 -6.5 36.2 45.1 58.2
253 7 25 -8.3 45.6 85.8 97.6
254 7 26 9.4 51.0 35.9 63.1
255 7 27 -0.3 49.5 89.7 102.5
256 7 28 9.0 104.7 293.7 311.9
257 7 29 -26.0 24.3 58.0 68.0
258 7 30 16.1 -7.1 5.6 18.4
259 7 31 -2.6 1.0 -15.1 15.4
260 7 32 8.8 -7.9 -15.8 19.7
261 7 33 20.7 -186.9 55.7 196.1
262 7 34 18.0 25.0 -33.6 45.6
263 7 35 36.7 33.3 9.7 50.5
264 7 36 34.7 37.0 18.8 54.1
265 7 37 23.6 42.9 12.1 50.5
266 7 38 15.2 29.3 -25.6 41.8
267 7 39 29.1 23.7 0.7 37.5
268 7 40 42.6 117.6 3.9 125.1
269 7 41 37.6 16.0 34.8 53.6
270 7 42 19.6 18.5 24.2 36.2
271 7 43 -12.9 9.2 -43.5 46.3
272 7 44 -15.7 18.5 -2.6 24.4
273 7 45 4.5 -56.0 88.2 104.6
274 7 46 21.9 39.1 27.3 52.5
275 7 47 6.6 46.4 4.6 47.1
276 7 48 -7.2 159.3 36.6 163.6
Creating sector-motor-move file
sector motor steps
1 1 15
1 2 1
1 3 4
1 4 5
1 5 -3
1 6 -5
1 7 0
1 8 1
1 9 1
1 10 2
1 11 -4
1 12 9
1 13 -1
1 14 0
1 15 -8
1 16 -8
1 17 -5
1 18 1
1 19 4
1 20 8
1 21 -9
1 22 -5
1 23 -5
1 24 0
1 25 0
1 26 -2
1 27 0
1 28 -13
1 29 -1
1 30 1
1 31 -5
1 32 -1
1 33 -12
1 34 -15
1 35 -5
1 36 1
1 37 -13
1 38 6
1 39 8
1 40 4
1 41 -5
1 42 0
1 43 -3
1 44 -1
1 45 -3
1 46 0
1 47 -6
1 48 2
1 49 -2
1 50 -1
1 51 -6
1 52 -2
1 53 1
1 54 2
1 55 0
1 56 -1
1 57 0
1 58 1
1 59 -2
1 60 1
1 61 0
1 62 2
1 63 -3
1 64 -7
1 65 7
1 66 -8
1 67 4
1 68 -4
1 69 -4
2 1 -13
2 2 2
2 3 3
2 4 -10
2 5 -1
2 6 -3
2 7 10
2 8 10
2 9 -6
2 10 -5
2 11 -3
2 12 -3
2 13 11
2 14 13
2 15 4
2 16 -6
2 17 -2
2 18 0
2 19 16
2 20 2
2 21 1
2 22 1
2 23 0
2 24 -3
2 25 0
2 26 0
2 27 -1
2 28 -6
2 29 0
2 30 0
2 31 1
2 32 3
2 33 4
2 34 -2
2 35 -2
2 36 1
2 37 -10
2 38 1
2 39 1
2 40 -3
2 41 0
2 42 3
2 43 1
2 44 -2
2 45 -7
2 46 -3
2 47 0
2 48 2
2 49 -3
2 50 -2
2 51 -2
2 52 0
2 53 -2
2 54 2
2 55 -1
2 56 -1
2 57 -5
2 58 0
2 59 3
2 60 5
2 61 2
2 62 1
2 63 -9
2 64 0
2 65 8
2 66 -4
2 67 -1
2 68 2
2 69 0
3 1 4
3 2 7
3 3 3
3 4 0
3 5 2
3 6 2
3 7 -6
3 8 1
3 9 0
3 10 -4
3 11 0
3 12 -1
3 13 0
3 14 6
3 15 5
3 16 4
3 17 -1
3 18 6
3 19 11
3 20 5
3 21 4
3 22 17
3 23 -5
3 24 4
3 25 6
3 26 0
3 27 -4
3 28 -6
3 29 7
3 30 1
3 31 0
3 32 0
3 33 4
3 34 -2
3 35 5
3 36 -11
3 37 -1
3 38 1
3 39 -3
3 40 -7
3 41 2
3 42 0
3 43 -1
3 44 0
3 45 -3
3 46 -5
3 47 -3
3 48 2
3 49 0
3 50 4
3 51 7
3 52 5
3 53 9
3 54 0
3 55 -4
3 56 1
3 57 -1
3 58 10
3 59 2
3 60 -12
3 61 2
3 62 0
3 63 0
3 64 -1
3 65 6
3 66 0
3 67 0
3 68 7
3 69 -2
4 1 3
4 2 20
4 3 12
4 4 5
4 5 0
4 6 1
4 7 3
4 8 8
4 9 -5
4 10 10
4 11 3
4 12 8
4 13 6
4 14 15
4 15 5
4 16 3
4 17 4
4 18 0
4 19 12
4 20 9
4 21 4
4 22 5
4 23 2
4 24 2
4 25 3
4 26 3
4 27 6
4 28 3
4 29 3
4 30 -3
4 31 2
4 32 8
4 33 2
4 34 2
4 35 2
4 36 3
4 37 -2
4 38 12
4 39 3
4 40 2
4 41 4
4 42 -1
4 43 4
4 44 2
4 45 -2
4 46 5
4 47 -3
4 48 0
4 49 8
4 50 1
4 51 0
4 52 0
4 53 6
4 54 4
4 55 4
4 56 2
4 57 2
4 58 -2
4 59 3
4 60 -5
4 61 2
4 62 4
4 63 -3
4 64 0
4 65 -4
4 66 3
4 67 7
4 68 1
4 69 6
5 1 8
5 2 -7
5 3 1
5 4 0
5 5 -2
5 6 0
5 7 7
5 8 1
5 9 1
5 10 6
5 11 -4
5 12 -6
5 13 -4
5 14 3
5 15 2
5 16 0
5 17 -2
5 18 -6
5 19 5
5 20 -2
5 21 2
5 22 -3
5 23 -1
5 24 -5
5 25 -6
5 26 -2
5 27 -1
5 28 -3
5 29 -2
5 30 0
5 31 -3
5 32 -3
5 33 -1
5 34 -3
5 35 -1
5 36 0
5 37 57
5 38 -2
5 39 1
5 40 4
5 41 -1
5 42 7
5 43 0
5 44 1
5 45 -3
5 46 0
5 47 4
5 48 2
5 49 -1
5 50 3
5 51 4
5 52 4
5 53 3
5 54 1
5 55 5
5 56 3
5 57 7
5 58 3
5 59 -5
5 60 17
5 61 7
5 62 3
5 63 5
5 64 0
5 65 4
5 66 1
5 67 0
5 68 0
5 69 2
6 1 13
6 2 11
6 3 -2
6 4 -7
6 5 -9
6 6 -9
6 7 8
6 8 3
6 9 3
6 10 -6
6 11 -8
6 12 -6
6 13 9
6 14 4
6 15 -7
6 16 0
6 17 -12
6 18 9
6 19 4
6 20 20
6 21 7
6 22 -24
6 23 -5
6 24 -18
6 25 -11
6 26 -8
6 27 -4
6 28 1
6 29 0
6 30 16
6 31 -15
6 32 -2
6 33 -2
6 34 -4
6 35 -5
6 36 -9
6 37 -16
6 38 0
6 39 -1
6 40 2
6 41 0
6 42 -9
6 43 -8
6 44 -3
6 45 -2
6 46 0
6 47 -5
6 48 -5
6 49 -1
6 50 0
6 51 3
6 52 -1
6 53 -1
6 54 3
6 55 0
6 56 -1
6 57 -3
6 58 2
6 59 -2
6 60 6
6 61 3
6 62 -1
6 63 0
6 64 -3
6 65 4
6 66 0
6 67 -4
6 68 0
6 69 -8
7 1 90
7 2 32
7 3 2
7 4 42
7 5 6
7 6 -1
7 7 27
7 8 15
7 9 0
7 10 1
7 11 -6
7 12 7
7 13 11
7 14 15
7 15 2
7 16 -10
7 17 -4
7 18 -4
7 19 26
7 20 13
7 21 -2
7 22 -9
7 23 -9
7 24 -9
7 25 -4
7 26 -3
7 27 4
7 28 3
7 29 -5
7 30 -7
7 31 -8
7 32 0
7 33 6
7 34 1
7 35 0
7 36 -7
7 37 -14
7 38 0
7 39 0
7 40 8
7 41 1
7 42 -3
7 43 -12
7 44 -9
7 45 -4
7 46 11
7 47 0
7 48 15
7 49 0
7 50 0
7 51 -3
7 52 0
7 53 -2
7 54 5
7 55 -1
7 56 0
7 57 -2
7 58 6
7 59 -2
7 60 12
7 61 -3
7 62 -1
7 63 -5
7 64 -1
7 65 6
7 66 -4
7 67 0
7 68 2
7 69 4
8 1 -4
8 2 -2
8 3 2
8 4 -4
8 5 -8
8 6 -5
8 7 -4
8 8 0
8 9 0
8 10 1
8 11 -3
8 12 -4
8 13 1
8 14 -2
8 15 4
8 16 17
8 17 -3
8 18 -5
8 19 17
8 20 7
8 21 -7
8 22 3
8 23 1
8 24 -12
8 25 -1
8 26 -6
8 27 -5
8 28 -1
8 29 3
8 30 -1
8 31 -4
8 32 -2
8 33 0
8 34 -1
8 35 -4
8 36 0
8 37 2
8 38 -4
8 39 1
8 40 2
8 41 -4
8 42 -7
8 43 -3
8 44 0
8 45 5
8 46 -13
8 47 0
8 48 -7
8 49 3
8 50 3
8 51 4
8 52 2
8 53 1
8 54 9
8 55 -3
8 56 -1
8 57 2
8 58 13
8 59 -4
8 60 15
8 61 0
8 62 1
8 63 5
8 64 4
8 65 8
8 66 -2
8 67 2
8 68 6
8 69 6
9 1 5
9 2 11
9 3 10
9 4 11
9 5 9
9 6 -7
9 7 2
9 8 10
9 9 11
9 10 9
9 11 2
9 12 -7
9 13 -10
9 14 7
9 15 5
9 16 8
9 17 0
9 18 10
9 19 17
9 20 -57
9 21 6
9 22 33
9 23 -7
9 24 0
9 25 -10
9 26 0
9 27 -2
9 28 -7
9 29 -2
9 30 -7
9 31 -10
9 32 5
9 33 7
9 34 -5
9 35 8
9 36 -11
9 37 2
9 38 0
9 39 -1
9 40 0
9 41 3
9 42 7
9 43 -1
9 44 -7
9 45 5
9 46 1
9 47 0
9 48 -1
9 49 2
9 50 4
9 51 14
9 52 4
9 53 3
9 54 2
9 55 9
9 56 0
9 57 5
9 58 0
9 59 -25
9 60 2
9 61 11
9 62 6
9 63 10
9 64 0
9 65 4
9 66 2
9 67 1
9 68 2
9 69 6
10 1 1
10 2 36
10 3 13
10 4 0
10 5 7
10 6 -20
10 7 0
10 8 7
10 9 8
10 10 2
10 11 -1
10 12 0
10 13 -7
10 14 8
10 15 4
10 16 -5
10 17 -1
10 18 -9
10 19 3
10 20 13
10 21 7
10 22 7
10 23 7
10 24 -8
10 25 -7
10 26 -2
10 27 0
10 28 -2
10 29 -1
10 30 -1
10 31 -21
10 32 7
10 33 -5
10 34 -3
10 35 2
10 36 -1
10 37 -12
10 38 -1
10 39 -1
10 40 -1
10 41 -1
10 42 1
10 43 -3
10 44 2
10 45 0
10 46 -1
10 47 2
10 48 9
10 49 -2
10 50 9
10 51 5
10 52 1
10 53 -7
10 54 7
10 55 -1
10 56 6
10 57 1
10 58 0
10 59 -4
10 60 12
10 61 -5
10 62 2
10 63 2
10 64 2
10 65 0
10 66 -1
10 67 0
10 68 1
10 69 10
11 1 0
11 2 5
11 3 -4
11 4 5
11 5 2
11 6 -5
11 7 -13
11 8 2
11 9 -3
11 10 -1
11 11 -2
11 12 2
11 13 7
11 14 5
11 15 6
11 16 9
11 17 -2
11 18 -3
11 19 10
11 20 4
11 21 11
11 22 -1
11 23 4
11 24 -5
11 25 -2
11 26 2
11 27 -4
11 28 2
11 29 2
11 30 -2
11 31 -8
11 32 0
11 33 5
11 34 0
11 35 0
11 36 3
11 37 -5
11 38 0
11 39 1
11 40 0
11 41 0
11 42 2
11 43 0
11 44 -1
11 45 0
11 46 -1
11 47 2
11 48 -1
11 49 -2
11 50 0
11 51 -1
11 52 -5
11 53 -5
11 54 12
11 55 -1
11 56 1
11 57 0
11 58 6
11 59 8
11 60 3
11 61 1
11 62 2
11 63 3
11 64 -2
11 65 6
11 66 0
11 67 2
11 68 2
11 69 -1
12 1 11
12 2 48
12 3 -2
12 4 -6
12 5 -5
12 6 -8
12 7 1
12 8 14
12 9 2
12 10 -5
12 11 -5
12 12 -4
12 13 8
12 14 12
12 15 6
12 16 8
12 17 -4
12 18 8
12 19 27
12 20 -17
12 21 1
12 22 29
12 23 0
12 24 -3
12 25 -5
12 26 0
12 27 0
12 28 -5
12 29 -7
12 30 -2
12 31 -17
12 32 4
12 33 14
12 34 -8
12 35 -3
12 36 -2
12 37 14
12 38 -4
12 39 0
12 40 -9
12 41 -4
12 42 5
12 43 -5
12 44 0
12 45 0
12 46 -3
12 47 1
12 48 0
12 49 -1
12 50 0
12 51 1
12 52 -6
12 53 -5
12 54 6
12 55 0
12 56 0
12 57 -2
12 58 1
12 59 0
12 60 3
12 61 2
12 62 -1
12 63 4
12 64 -9
12 65 7
12 66 -2
12 67 -6
12 68 1
12 69 -3
Adjuster movements: rms = 26.9 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20041115-162656
Creating HTML output file of plots
Plotting summary text