![[aveap.gif]](aveap.gif)
Average aperture phaseData File: /net/moana/export/data/janw/rxh3/rxh3-20050213-205300.fits
Reduced on 20050213-215257 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 | rxh3-20050213-205300.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 2.3 |
| data.pointing_offset_y | 14.1 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.95 |
| 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 | 0.033950000000000001 |
| 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: 20050213-215257
Reading data from /net/moana/export/data/janw/rxh3/rxh3-20050213-205300.fits
Reduction ID: default
Read keywords into global array holo_keys
Read binary table data into global array holo_data
Finished reading data
Converted positions to arcsec, times to elapsed seconds, and reversed x-axis
Pattern extent: min = 2402.5 max = 2430.4 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.950 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 -3.01514 2.99316 -0.03564
loimag -3.13965 3.02002 0.01515
hireal -5.00000 4.99756 -0.61296
hiimag -5.00000 4.99756 -0.20034
xpos -2430.44603 2419.92033 -8.27366
ypos -2402.59839 2402.52881 -0.00268
plock160 0.81299 2.26807 1.61637
lorefpwr 0.24902 1.63330 1.20546
losigpwr -4.59473 -0.37842 -4.41214
hirefpwr 0.32959 1.67725 1.26597
hisigpwr -4.49463 4.99756 -0.67069
encltemp 31.68945 32.88574 32.18443
flags 0.00000 256.00000 2.76738
phi-lock -1.25732 0.11475 -0.58185
sindex 0.00000 128.00000 63.61104
time 0.00000 2947.99698 1473.09589
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 = 40.00601 arcsec
Mean row spacing = 40.00603 arcsec (alternate estimator)
Mean tracking incline = 0.05092 arcsec
Mean pointing range = 0.62386 arcsec
Mean pointing rms = 0.10938 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (2.3, 14.1 ) 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: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22682 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22682 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 = 2430.45 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 = 2.96039 at (0.0, 0.0) arcsec
Real: mean = 0.00228903 sum of squares = 992.278
Imag: mean = -0.00102231 sum of squares = 1019.39
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 = 2.91486 at (0.0, 0.0) arcsec
Real: mean = 0.00181792 sum of squares = 1070.35
Imag: mean = -0.00124773 sum of squares = 942.057
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 = 2.88556 at (0.0, 0.0) arcsec
Real: mean = 0.00150252 sum of squares = 1102.45
Imag: mean = -0.0015069 sum of squares = 909.25
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 = 2.88659 at (0.0, 0.0) arcsec
Real: mean = 0.00131494 sum of squares = 1066.55
Imag: mean = -0.00189834 sum of squares = 944.332
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 = 2.89295 at (0.0, 0.0) arcsec
Real: mean = 0.00133023 sum of squares = 990.837
Imag: mean = -0.00234617 sum of squares = 1018.69
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 = 2.91387 at (0.0, 0.0) arcsec
Real: mean = 0.00151839 sum of squares = 924.236
Imag: mean = -0.00274352 sum of squares = 1084.58
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 = 2.92702 at (0.0, 0.0) arcsec
Real: mean = 0.00184533 sum of squares = 912.596
Imag: mean = -0.00298599 sum of squares = 1095.99
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 = 2.96808 at (0.0, 0.0) arcsec
Real: mean = 0.00214835 sum of squares = 966.941
Imag: mean = -0.00315195 sum of squares = 1042.96
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 = 3.00785 at (0.0, 0.0) arcsec
Real: mean = 0.00261283 sum of squares = 1050.08
Imag: mean = -0.00328225 sum of squares = 962.091
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 = 3.05408 at (0.0, 0.0) arcsec
Real: mean = 0.0032163 sum of squares = 1104.66
Imag: mean = -0.00307326 sum of squares = 911.522
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 = 3.07247 at (0.0, 0.0) arcsec
Real: mean = 0.00370025 sum of squares = 1088.29
Imag: mean = -0.00254786 sum of squares = 932.809
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 = 3.07943 at (0.0, 0.0) arcsec
Real: mean = 0.00366491 sum of squares = 1012.59
Imag: mean = -0.0017744 sum of squares = 1013.57
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 = 3.05281 at (0.0, 0.0) arcsec
Real: mean = 0.0032466 sum of squares = 938.271
Imag: mean = -0.00131373 sum of squares = 1090.67
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 = 3.02349 at (0.0, 0.0) arcsec
Real: mean = 0.00275993 sum of squares = 920.867
Imag: mean = -0.00128155 sum of squares = 1109.22
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 = 2.98342 at (0.0, 0.0) arcsec
Real: mean = 0.00258103 sum of squares = 973.365
Imag: mean = -0.00142237 sum of squares = 1057.77
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 = 2.96445 at (0.0, 0.0) arcsec
Real: mean = 0.00249947 sum of squares = 1058.17
Imag: mean = -0.00141215 sum of squares = 976.467
Masking frequency index 0
Mask scale size = 3.05893
Masking frequency index 1
Mask scale size = 3.05901
Masking frequency index 2
Mask scale size = 3.05908
Masking frequency index 3
Mask scale size = 3.05916
Masking frequency index 4
Mask scale size = 3.05924
Masking frequency index 5
Mask scale size = 3.05931
Masking frequency index 6
Mask scale size = 3.05939
Masking frequency index 7
Mask scale size = 3.05947
Masking frequency index 8
Mask scale size = 3.05954
Masking frequency index 9
Mask scale size = 3.05962
Masking frequency index 10
Mask scale size = 3.05969
Masking frequency index 11
Mask scale size = 3.05977
Masking frequency index 12
Mask scale size = 3.05985
Masking frequency index 13
Mask scale size = 3.05992
Masking frequency index 14
Mask scale size = 3.06
Masking frequency index 15
Mask scale size = 3.06007
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0195312
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.202637
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.197754
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0170898
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0170898
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 1.5625 107.63
Freq 1: Shift, scale = 1.1315 109.24
Freq 2: Shift, scale = 0.69765 109.77
Freq 3: Shift, scale = 0.26196 109.41
Freq 4: Shift, scale = -0.17049 108.1
Freq 5: Shift, scale = -0.60098 106.45
Freq 6: Shift, scale = -1.0319 104.79
Freq 7: Shift, scale = -1.4694 103.35
Freq 8: Shift, scale = -1.9114 102.52
Freq 9: Shift, scale = -2.3545 102.2
Freq 10: Shift, scale = -2.8039 102.52
Freq 11: Shift, scale = 3.0323 103.5
Freq 12: Shift, scale = 2.5851 105.11
Freq 13: Shift, scale = 2.1435 107.14
Freq 14: Shift, scale = 1.706 108.72
Freq 15: Shift, scale = 1.2718 110.19
Calculating phase corrections for index 0
Calculating phase corrections for index 1
Calculating phase corrections for index 2
Calculating phase corrections for index 3
Calculating phase corrections for index 4
Calculating phase corrections for index 5
Calculating phase corrections for index 6
Calculating phase corrections for index 7
Calculating phase corrections for index 8
Calculating phase corrections for index 9
Calculating phase corrections for index 10
Calculating phase corrections for index 11
Calculating phase corrections for index 12
Calculating phase corrections for index 13
Calculating phase corrections for index 14
Calculating phase corrections for index 15
Apply near field corrections for frequency 0
Apply secondary diffraction correction for frequency 0
Apply near field corrections for frequency 1
Apply secondary diffraction correction for frequency 1
Apply near field corrections for frequency 2
Apply secondary diffraction correction for frequency 2
Apply near field corrections for frequency 3
Apply secondary diffraction correction for frequency 3
Apply near field corrections for frequency 4
Apply secondary diffraction correction for frequency 4
Apply near field corrections for frequency 5
Apply secondary diffraction correction for frequency 5
Apply near field corrections for frequency 6
Apply secondary diffraction correction for frequency 6
Apply near field corrections for frequency 7
Apply secondary diffraction correction for frequency 7
Apply near field corrections for frequency 8
Apply secondary diffraction correction for frequency 8
Apply near field corrections for frequency 9
Apply secondary diffraction correction for frequency 9
Apply near field corrections for frequency 10
Apply secondary diffraction correction for frequency 10
Apply near field corrections for frequency 11
Apply secondary diffraction correction for frequency 11
Apply near field corrections for frequency 12
Apply secondary diffraction correction for frequency 12
Apply near field corrections for frequency 13
Apply secondary diffraction correction for frequency 13
Apply near field corrections for frequency 14
Apply secondary diffraction correction for frequency 14
Apply near field corrections for frequency 15
Apply secondary diffraction correction for frequency 15
Fitting piston, pointing and defocus terms
Fitting frequency 0
Minimiser fit code = 1
piston: -0.161 radians
x offset: 0.0043 arcsec
y offset: -0.0301 arcsec
defocus: 0.000349 mm
Estimated x pointing error is 2.304 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.07 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.95 mm (used 2.95 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.153 radians
x offset: -0.00444 arcsec
y offset: -0.0644 arcsec
defocus: -0.000985 mm
Estimated x pointing error is 2.296 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.04 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.949 mm (used 2.95 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.148 radians
x offset: -0.0243 arcsec
y offset: -0.0937 arcsec
defocus: -0.00169 mm
Estimated x pointing error is 2.276 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.01 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.948 mm (used 2.95 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.145 radians
x offset: -0.0251 arcsec
y offset: -0.0938 arcsec
defocus: -0.00163 mm
Estimated x pointing error is 2.275 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.01 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.948 mm (used 2.95 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.139 radians
x offset: -0.0223 arcsec
y offset: -0.0834 arcsec
defocus: -0.0021 mm
Estimated x pointing error is 2.278 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.02 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.948 mm (used 2.95 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.132 radians
x offset: -0.00398 arcsec
y offset: -0.0708 arcsec
defocus: -0.00168 mm
Estimated x pointing error is 2.296 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.03 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.948 mm (used 2.95 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.127 radians
x offset: 0.00888 arcsec
y offset: -0.0383 arcsec
defocus: -0.00473 mm
Estimated x pointing error is 2.309 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.06 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.945 mm (used 2.95 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.128 radians
x offset: 0.00454 arcsec
y offset: -0.0159 arcsec
defocus: -0.00594 mm
Estimated x pointing error is 2.305 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.08 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.944 mm (used 2.95 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.134 radians
x offset: 0.00626 arcsec
y offset: 0.00187 arcsec
defocus: -0.00683 mm
Estimated x pointing error is 2.306 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.1 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.943 mm (used 2.95 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.141 radians
x offset: -0.00892 arcsec
y offset: -0.000964 arcsec
defocus: -0.00846 mm
Estimated x pointing error is 2.291 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.1 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.942 mm (used 2.95 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.151 radians
x offset: -0.0203 arcsec
y offset: -0.0104 arcsec
defocus: -0.00672 mm
Estimated x pointing error is 2.28 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.09 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.943 mm (used 2.95 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.159 radians
x offset: -0.017 arcsec
y offset: -0.0436 arcsec
defocus: -0.0053 mm
Estimated x pointing error is 2.283 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.06 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.945 mm (used 2.95 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.167 radians
x offset: 0.00327 arcsec
y offset: -0.0742 arcsec
defocus: -0.00391 mm
Estimated x pointing error is 2.303 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14.03 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.946 mm (used 2.95 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.17 radians
x offset: 0.0332 arcsec
y offset: -0.102 arcsec
defocus: -0.00385 mm
Estimated x pointing error is 2.333 arcsec (used 2.3 arcsec)
Estimated y pointing error is 14 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.946 mm (used 2.95 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.171 radians
x offset: 0.0598 arcsec
y offset: -0.129 arcsec
defocus: -0.00647 mm
Estimated x pointing error is 2.36 arcsec (used 2.3 arcsec)
Estimated y pointing error is 13.97 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.944 mm (used 2.95 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.168 radians
x offset: 0.0789 arcsec
y offset: -0.139 arcsec
defocus: -0.00904 mm
Estimated x pointing error is 2.379 arcsec (used 2.3 arcsec)
Estimated y pointing error is 13.96 arcsec (used 14.1 arcsec)
Estimated defocus error is 2.941 mm (used 2.95 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 -0.00048 piston
1 1 -0.00215 tilt_x
1 -1 0.01545 tilt_y
2 2 0.07661 astigmatism_0
2 0 0.00007 curvature
2 -2 -0.00038 astigmatism45
3 3 0.00706 trefoil_0
3 1 -0.02535 coma_x
3 -1 0.04564 coma_y
3 -3 -0.01469 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 -0.00061 piston
1 1 -0.00390 tilt_x
1 -1 0.01471 tilt_y
2 2 0.07599 astigmatism_0
2 0 -0.00040 curvature
2 -2 -0.00001 astigmatism45
3 3 0.00905 trefoil_0
3 1 -0.03013 coma_x
3 -1 0.04317 coma_y
3 -3 -0.01350 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 -0.00069 piston
1 1 -0.00514 tilt_x
1 -1 0.01454 tilt_y
2 2 0.07637 astigmatism_0
2 0 -0.00068 curvature
2 -2 -0.00083 astigmatism45
3 3 0.01074 trefoil_0
3 1 -0.03368 coma_x
3 -1 0.04235 coma_y
3 -3 -0.01364 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 -0.00073 piston
1 1 -0.00549 tilt_x
1 -1 0.01461 tilt_y
2 2 0.07723 astigmatism_0
2 0 -0.00073 curvature
2 -2 -0.00148 astigmatism45
3 3 0.01064 trefoil_0
3 1 -0.03500 coma_x
3 -1 0.04217 coma_y
3 -3 -0.01459 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 -0.00068 piston
1 1 -0.00504 tilt_x
1 -1 0.01536 tilt_y
2 2 0.07777 astigmatism_0
2 0 -0.00037 curvature
2 -2 -0.00251 astigmatism45
3 3 0.00951 trefoil_0
3 1 -0.03373 coma_x
3 -1 0.04413 coma_y
3 -3 -0.01676 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 -0.00061 piston
1 1 -0.00417 tilt_x
1 -1 0.01644 tilt_y
2 2 0.07750 astigmatism_0
2 0 0.00016 curvature
2 -2 -0.00314 astigmatism45
3 3 0.00783 trefoil_0
3 1 -0.03087 coma_x
3 -1 0.04717 coma_y
3 -3 -0.01832 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 -0.00055 piston
1 1 -0.00275 tilt_x
1 -1 0.01763 tilt_y
2 2 0.07775 astigmatism_0
2 0 0.00061 curvature
2 -2 -0.00294 astigmatism45
3 3 0.00570 trefoil_0
3 1 -0.02662 coma_x
3 -1 0.05056 coma_y
3 -3 -0.01912 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 -0.00053 piston
1 1 -0.00198 tilt_x
1 -1 0.01859 tilt_y
2 2 0.07801 astigmatism_0
2 0 0.00075 curvature
2 -2 -0.00171 astigmatism45
3 3 0.00454 trefoil_0
3 1 -0.02428 coma_x
3 -1 0.05308 coma_y
3 -3 -0.01928 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 -0.00048 piston
1 1 -0.00095 tilt_x
1 -1 0.01921 tilt_y
2 2 0.07827 astigmatism_0
2 0 0.00086 curvature
2 -2 -0.00094 astigmatism45
3 3 0.00300 trefoil_0
3 1 -0.02148 coma_x
3 -1 0.05508 coma_y
3 -3 -0.01849 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 -0.00044 piston
1 1 -0.00067 tilt_x
1 -1 0.01886 tilt_y
2 2 0.07862 astigmatism_0
2 0 0.00071 curvature
2 -2 -0.00075 astigmatism45
3 3 0.00309 trefoil_0
3 1 -0.02109 coma_x
3 -1 0.05446 coma_y
3 -3 -0.01771 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 -0.00046 piston
1 1 -0.00138 tilt_x
1 -1 0.01807 tilt_y
2 2 0.07839 astigmatism_0
2 0 0.00035 curvature
2 -2 0.00027 astigmatism45
3 3 0.00429 trefoil_0
3 1 -0.02330 coma_x
3 -1 0.05219 coma_y
3 -3 -0.01480 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 -0.00049 piston
1 1 -0.00227 tilt_x
1 -1 0.01718 tilt_y
2 2 0.07766 astigmatism_0
2 0 -0.00000 curvature
2 -2 -0.00062 astigmatism45
3 3 0.00563 trefoil_0
3 1 -0.02603 coma_x
3 -1 0.04991 coma_y
3 -3 -0.01302 trefoil_30
Fitting many Zernikes for frequency 12
Using terms up to Zernike order 3
Fitting 10 Zernike terms: 0 1 2 3 4 5 6 7 8 9
Minimiser fit code = 1
n l coeff name
0 0 -0.00056 piston
1 1 -0.00257 tilt_x
1 -1 0.01632 tilt_y
2 2 0.07811 astigmatism_0
2 0 -0.00028 curvature
2 -2 -0.00052 astigmatism45
3 3 0.00711 trefoil_0
3 1 -0.02722 coma_x
3 -1 0.04742 coma_y
3 -3 -0.01123 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 -0.00062 piston
1 1 -0.00281 tilt_x
1 -1 0.01582 tilt_y
2 2 0.07863 astigmatism_0
2 0 -0.00048 curvature
2 -2 -0.00124 astigmatism45
3 3 0.00699 trefoil_0
3 1 -0.02828 coma_x
3 -1 0.04604 coma_y
3 -3 -0.01108 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 -0.00067 piston
1 1 -0.00251 tilt_x
1 -1 0.01574 tilt_y
2 2 0.07959 astigmatism_0
2 0 -0.00053 curvature
2 -2 -0.00231 astigmatism45
3 3 0.00623 trefoil_0
3 1 -0.02781 coma_x
3 -1 0.04586 coma_y
3 -3 -0.01223 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 -0.00071 piston
1 1 -0.00268 tilt_x
1 -1 0.01654 tilt_y
2 2 0.08125 astigmatism_0
2 0 -0.00056 curvature
2 -2 -0.00320 astigmatism45
3 3 0.00596 trefoil_0
3 1 -0.02872 coma_x
3 -1 0.04814 coma_y
3 -3 -0.01578 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: 33.8 22.1 23.5 26.2 22.6 26.4 35.2 28.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33 20.6 22.5 24.9 22.2 23.2 33 26.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.01 5.7 7.33 8.03 8.74 11.2 16.8 11.1
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.8 21.7 23.3 24.5 22.4 26 35.1 28.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32 20.2 22.3 23.1 21.9 22.9 33.2 26.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.04 5.74 7.37 8.04 8.7 11.1 16.7 11.1
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.8 21.6 22.9 23.3 22.2 26 34.9 28
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31 20.1 22 21.7 21.6 22.7 33.2 26.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.12 5.89 7.55 8.2 8.79 11.2 16.9 11.2
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.3 21.3 22.4 22.8 22.6 26 34.9 28.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.4 19.8 21.5 21.1 21.9 22.5 33.2 26.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.16 5.96 7.64 8.31 8.9 11.3 17.1 11.3
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29 21.2 21.8 23 23 26.3 34.8 28.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28 19.6 21 21.4 22.4 22.5 33 26.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.2 6.04 7.74 8.42 9 11.4 17.3 11.5
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28 21.3 21.5 23.6 23.6 26.7 34.8 28.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 19.7 20.7 22.2 23.1 22.8 32.8 27
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.25 6.13 7.84 8.5 9.03 11.4 17.4 11.5
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.4 22 21.2 24.3 23.7 27.1 34.9 29
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.3 20.2 20.2 23.1 23.4 23.2 32.9 27.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.29 6.21 7.94 8.59 9.09 11.4 17.5 11.6
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.6 22.4 21 25.1 23.7 27.4 35.9 29.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.4 20.5 19.8 23.9 23.4 23.6 33.6 27.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.36 6.33 8.1 8.73 9.17 11.5 17.6 11.7
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.7 22.9 22.3 26.1 23.9 27.7 36.8 29.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.5 21 21 25 23.5 24 34.4 28.1
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.4 6.41 8.19 8.81 9.21 11.5 17.7 11.7
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.2 23.5 23.7 27.5 24.1 27.9 37.5 30.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.1 21.7 22.5 26.5 23.6 24.5 35.1 28.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.36 6.34 8.11 8.74 9.2 11.5 17.6 11.7
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.1 23.7 24.7 28.9 24.1 27.9 37.5 30.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.2 21.9 23.6 28 23.6 24.6 35.2 28.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.29 6.21 7.95 8.58 9.09 11.4 17.4 11.6
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.7 23.5 25.4 32.3 23.8 27.6 37.2 30.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.9 21.8 24.5 31.4 23.3 24.4 34.9 29.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.24 6.12 7.83 8.46 8.97 11.3 17.2 11.4
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 34.4 22.8 25.5 34.8 23.3 27 36.3 30.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.6 21.2 24.7 33.5 22.9 23.7 34.1 29
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.15 5.95 7.64 8.3 8.93 11.3 17.1 11.3
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.9 22.3 24.1 29.7 22.9 26.5 35.3 29.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.2 20.8 23.4 28.2 22.5 23.1 33.1 27.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.12 5.89 7.57 8.26 8.95 11.4 17.2 11.4
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33.4 21.7 23 27.2 22.6 26.5 34.5 28.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.6 20.2 22.1 25.7 22.3 22.7 32.2 26.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.09 5.85 7.54 8.26 9.02 11.5 17.3 11.5
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32.8 21.4 23.2 25.5 22.5 27.1 34.2 28.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 19.8 22.2 23.9 22.3 23.1 31.8 26.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 3.23 6.11 7.85 8.59 9.3 11.8 17.9 11.8
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 27.8 20.8 19.9 21.6 21.4 25.4 34 26.9
Mean deviation is 0.81009298207397862 microns
Taper = 10 dB, Ruze illumination-weighted rms = 26.2 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 24.3 micron
Centre pixel: 64.0 64.0 Value = 2751.9 (estimate), 3426.12 (perfect)
Strehl = 0.64515
Strehl ratio estimate = 0.6452
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 = 24.0 micron
Centre pixel: 64.0 64.0 Value = 2277.68 (estimate), 3426.12 (perfect)
Strehl = 0.441956
Strehl ratio estimate = 0.442
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 -24.5 21.4 29.7 44.0
2 1 2 -23.8 29.3 28.3 47.1
3 1 3 -19.6 38.1 -22.6 48.5
4 1 4 -27.8 1.5 -6.1 28.5
5 1 5 -39.5 21.3 31.1 54.6
6 1 6 -62.7 -1.4 -8.8 63.3
7 1 7 -55.2 -10.1 23.1 60.7
8 1 8 -55.5 18.0 45.9 74.2
9 1 9 -70.1 9.2 14.7 72.2
10 1 10 -36.6 3.6 32.5 49.1
11 1 11 3.7 7.8 32.4 33.6
12 1 12 -2.5 37.0 26.0 45.3
13 2 1 13.9 3.7 0.3 14.4
14 2 2 5.9 31.0 18.4 36.6
15 2 3 43.3 -7.8 6.7 44.5
16 2 4 24.5 14.6 14.9 32.2
17 2 5 5.0 9.4 22.3 24.7
18 2 6 0.4 47.3 51.4 69.9
19 2 7 11.7 28.3 20.6 37.0
20 2 8 26.9 31.7 14.5 44.0
21 2 9 3.9 10.1 10.9 15.3
22 2 10 3.6 9.9 -6.6 12.5
23 2 11 -0.5 7.9 1.3 8.1
24 2 12 -15.6 11.6 1.7 19.5
25 2 13 -25.3 -23.4 -21.7 40.7
26 2 14 -17.1 -3.4 -10.1 20.2
27 2 15 -15.5 -9.6 1.3 18.3
28 2 16 17.4 -15.3 -2.2 23.3
29 2 17 14.8 4.0 18.5 24.0
30 2 18 2.6 23.2 35.6 42.5
31 2 19 17.0 5.5 20.7 27.4
32 2 20 17.3 3.3 15.9 23.8
33 2 21 21.5 11.0 12.7 27.3
34 2 22 62.7 18.3 12.0 66.4
35 2 23 37.6 1.1 2.1 37.7
36 2 24 16.1 -4.2 7.8 18.4
37 3 1 2.1 13.3 32.4 35.1
38 3 2 3.3 9.8 27.0 28.9
39 3 3 -9.5 8.1 26.3 29.1
40 3 4 5.7 -2.4 29.0 29.6
41 3 5 2.6 13.6 30.4 33.4
42 3 6 -2.2 4.2 13.5 14.3
43 3 7 -2.0 3.6 1.0 4.2
44 3 8 2.6 4.2 10.2 11.3
45 3 9 17.1 3.0 20.9 27.2
46 3 10 -1.7 14.6 4.5 15.4
47 3 11 38.8 23.4 27.1 52.8
48 3 12 5.3 42.8 21.9 48.4
49 3 13 -4.1 30.7 20.4 37.1
50 3 14 15.8 9.6 13.0 22.6
51 3 15 -3.4 11.2 18.1 21.6
52 3 16 16.7 11.6 24.1 31.5
53 3 17 9.4 19.6 12.6 25.2
54 3 18 14.1 12.7 13.9 23.5
55 3 19 9.5 16.3 4.8 19.5
56 3 20 23.0 4.3 -4.3 23.8
57 3 21 12.5 -5.4 6.6 15.2
58 3 22 -18.2 -11.1 -4.9 21.8
59 3 23 8.4 -5.0 -12.8 16.1
60 3 24 -35.0 -18.4 -18.3 43.5
61 3 25 -20.7 -23.1 -14.4 34.2
62 3 26 -16.2 -9.9 -19.3 27.1
63 3 27 -11.7 -6.7 2.9 13.8
64 3 28 4.6 -11.7 1.4 12.7
65 3 29 22.8 -4.4 -11.1 25.7
66 3 30 -10.2 -14.5 -20.4 27.0
67 3 31 3.0 -1.9 -10.8 11.4
68 3 32 11.6 10.9 1.1 16.0
69 3 33 30.5 3.1 9.4 32.0
70 3 34 8.4 11.1 2.8 14.2
71 3 35 45.7 10.5 2.6 47.0
72 3 36 8.2 21.9 -7.1 24.5
73 3 37 34.8 25.7 22.1 48.6
74 3 38 29.2 17.8 18.5 38.9
75 3 39 29.0 22.3 15.6 39.8
76 3 40 24.2 1.9 14.8 28.4
77 3 41 23.9 9.4 -2.2 25.8
78 3 42 -3.1 15.5 -1.5 15.8
79 3 43 8.7 16.4 5.6 19.4
80 3 44 11.0 11.5 7.3 17.5
81 3 45 21.8 -1.3 22.4 31.2
82 3 46 6.1 8.4 13.7 17.2
83 3 47 26.5 9.2 32.2 42.7
84 3 48 -9.0 12.2 24.4 28.7
85 4 1 18.7 -21.8 -19.2 34.6
86 4 2 -22.5 -7.9 -3.9 24.1
87 4 3 7.5 -19.5 -33.3 39.3
88 4 4 11.6 -11.9 -24.1 29.3
89 4 5 18.8 -5.3 -4.9 20.1
90 4 6 14.2 4.6 11.7 19.0
91 4 7 8.9 6.1 19.2 22.0
92 4 8 -1.6 8.0 -2.4 8.5
93 4 9 7.7 2.5 6.8 10.6
94 4 10 6.8 7.2 4.8 11.0
95 4 11 -14.5 28.0 30.3 43.7
96 4 12 38.4 21.1 5.8 44.2
97 4 13 15.9 11.1 2.9 19.6
98 4 14 -20.8 12.2 3.9 24.4
99 4 15 6.7 6.9 12.9 16.2
100 4 16 5.4 -3.8 17.0 18.2
101 4 17 10.5 8.9 12.8 18.8
102 4 18 19.1 -14.6 2.2 24.1
103 4 19 -1.4 -13.3 -16.3 21.1
104 4 20 -19.8 -18.3 -1.4 27.0
105 4 21 -17.6 -26.8 -3.4 32.2
106 4 22 3.6 -16.0 -10.5 19.5
107 4 23 -24.4 -33.0 -29.0 50.2
108 4 24 41.9 -19.6 2.2 46.3
109 4 25 35.5 -21.0 38.3 56.3
110 4 26 -31.3 -3.2 17.8 36.2
111 4 27 -36.7 -13.9 -16.0 42.3
112 4 28 -26.4 -21.7 -10.6 35.8
113 4 29 -30.8 -20.4 -57.7 68.5
114 4 30 -30.4 -28.9 -17.0 45.3
115 4 31 -0.7 -30.2 -4.0 30.5
116 4 32 -11.6 -8.1 -15.6 21.1
117 4 33 -7.8 -17.2 -15.9 24.7
118 4 34 5.0 4.7 -1.4 7.0
119 4 35 -44.4 1.1 -10.7 45.7
120 4 36 -12.0 -2.8 6.5 13.9
121 4 37 43.2 6.2 12.7 45.5
122 4 38 -5.1 8.9 19.8 22.3
123 4 39 2.6 -2.1 9.1 9.7
124 4 40 -0.5 -10.0 9.8 14.0
125 4 41 -14.0 -8.7 4.7 17.1
126 4 42 10.9 -8.0 8.0 15.7
127 4 43 11.3 -7.1 22.5 26.2
128 4 44 1.7 -1.8 -0.0 2.4
129 4 45 -5.6 -8.1 -4.8 11.0
130 4 46 -1.1 -19.5 -14.4 24.3
131 4 47 -20.8 -15.3 -56.5 62.1
132 4 48 13.2 -23.3 -21.4 34.3
133 5 1 -28.4 -22.2 10.0 37.4
134 5 2 4.6 23.1 -26.7 35.6
135 5 3 -29.8 -17.3 -43.1 55.2
136 5 4 -12.4 -18.6 18.6 29.1
137 5 5 -13.0 -13.2 1.2 18.6
138 5 6 6.4 -3.9 -24.9 26.0
139 5 7 36.4 -12.1 -9.0 39.4
140 5 8 18.1 8.3 17.2 26.3
141 5 9 3.8 6.3 22.7 23.8
142 5 10 10.2 18.9 7.2 22.7
143 5 11 23.2 6.8 5.0 24.7
144 5 12 -6.2 2.3 20.0 21.1
145 5 13 -1.2 3.2 19.2 19.5
146 5 14 11.7 25.3 -6.0 28.5
147 5 15 0.9 19.6 20.0 28.1
148 5 16 2.9 -1.6 4.3 5.4
149 5 17 -0.1 -18.1 -29.2 34.3
150 5 18 -9.8 -20.0 188.8 190.1
151 5 19 -20.2 -15.5 8.9 26.9
152 5 20 -5.8 -4.4 -2.8 7.8
153 5 21 -8.2 -13.0 -10.8 18.7
154 5 22 -1.8 12.3 -38.6 40.6
155 5 23 6.9 4.8 -38.3 39.2
156 5 24 -4.9 -9.9 -31.0 32.9
157 5 25 -6.3 -13.3 -23.8 28.0
158 5 26 -4.2 -4.6 -37.4 38.0
159 5 27 -0.6 4.0 2.6 4.8
160 5 28 -4.1 -12.6 3.6 13.7
161 5 29 -16.8 -9.1 0.8 19.1
162 5 30 -9.5 -10.1 -13.0 19.0
163 5 31 -14.9 -8.2 -3.3 17.3
164 5 32 -13.2 -20.7 -10.8 26.8
165 5 33 -10.5 -36.8 5.0 38.6
166 5 34 -26.7 10.2 -27.7 39.8
167 5 35 -15.9 9.5 -18.0 25.8
168 5 36 0.1 10.7 19.7 22.4
169 5 37 -10.1 3.7 12.5 16.5
170 5 38 -2.0 10.4 -15.4 18.7
171 5 39 -2.3 23.8 -41.6 48.0
172 5 40 -7.0 -10.5 -8.6 15.3
173 5 41 -3.3 -9.0 -12.7 15.9
174 5 42 2.8 -13.1 -3.7 13.9
175 5 43 3.9 -10.2 -18.4 21.4
176 5 44 -8.1 -17.3 -27.7 33.6
177 5 45 3.9 -22.8 -33.3 40.6
178 5 46 -12.8 -31.2 3.2 33.9
179 5 47 4.0 -4.5 -25.1 25.8
180 5 48 -16.8 -25.5 6.6 31.2
181 6 1 -28.2 -55.8 -28.0 68.6
182 6 2 -14.6 -37.6 -52.1 65.9
183 6 3 9.1 -39.8 -9.7 42.0
184 6 4 -11.3 -30.9 -16.3 36.7
185 6 5 -2.8 -14.9 -16.5 22.4
186 6 6 -17.6 -24.5 -0.7 30.2
187 6 7 -9.9 -22.6 5.5 25.3
188 6 8 4.9 9.7 -32.6 34.3
189 6 9 21.9 12.9 74.2 78.4
190 6 10 53.4 10.5 45.0 70.6
191 6 11 3.4 4.6 4.8 7.5
192 6 12 7.8 6.8 13.3 16.9
193 6 13 7.7 18.1 29.6 35.5
194 6 14 -6.8 -1.3 13.1 14.8
195 6 15 31.2 7.7 18.2 37.0
196 6 16 18.5 -24.5 21.0 37.1
197 6 17 -3.7 -14.8 9.2 17.8
198 6 18 -5.8 -17.8 30.6 35.9
199 6 19 -16.8 -14.2 21.8 31.0
200 6 20 6.4 -18.0 -2.1 19.2
201 6 21 -46.3 -19.1 -58.5 76.9
202 6 22 5.7 -21.0 28.5 35.8
203 6 23 -33.3 -10.6 -15.6 38.3
204 6 24 -27.2 -30.0 -4.5 40.8
205 6 25 -19.7 -27.4 3.0 33.9
206 6 26 -12.2 -8.1 -17.4 22.8
207 6 27 17.8 -21.8 19.2 34.1
208 6 28 18.0 26.8 163.3 166.5
209 6 29 3.8 6.5 34.9 35.7
210 6 30 -7.0 -10.0 46.2 47.8
211 6 31 -1.0 -6.6 40.0 40.5
212 6 32 -2.1 0.8 3.9 4.5
213 6 33 -0.1 -14.1 122.8 123.6
214 6 34 60.0 4.4 68.0 90.8
215 6 35 -9.8 9.5 34.6 37.2
216 6 36 5.2 48.0 40.8 63.2
217 6 37 -5.1 19.9 40.2 45.1
218 6 38 9.0 13.3 21.3 26.7
219 6 39 31.2 -1.3 41.0 51.6
220 6 40 -10.5 3.4 64.6 65.5
221 6 41 -16.9 -0.2 9.6 19.4
222 6 42 -26.6 -11.9 21.2 36.0
223 6 43 -23.6 -11.4 -1.6 26.3
224 6 44 -29.4 -15.7 -6.8 34.0
225 6 45 -32.3 -38.1 58.6 77.0
226 6 46 -10.4 -45.5 27.6 54.2
227 6 47 -25.4 -36.4 -31.7 54.5
228 6 48 -29.9 -59.6 -34.3 75.0
229 7 1 -47.2 -30.9 -42.4 70.6
230 7 2 -23.6 -36.4 -41.1 59.7
231 7 3 -8.7 -48.5 4.5 49.4
232 7 4 -10.0 27.5 24.8 38.4
233 7 5 6.8 -10.5 77.3 78.3
234 7 6 2.6 22.3 59.7 63.8
235 7 7 -20.8 17.8 40.2 48.7
236 7 8 -18.8 28.0 10.2 35.2
237 7 9 41.9 -4.6 76.3 87.2
238 7 10 41.3 35.6 48.3 72.8
239 7 11 8.0 46.5 6.0 47.6
240 7 12 7.7 28.8 27.5 40.6
241 7 13 30.9 45.2 46.8 72.1
242 7 14 14.8 24.8 20.1 35.2
243 7 15 17.6 21.4 16.3 32.2
244 7 16 44.5 67.5 8.5 81.3
245 7 17 7.1 -19.8 34.3 40.2
246 7 18 2.0 16.9 15.3 22.9
247 7 19 13.6 22.6 14.1 30.0
248 7 20 40.1 -20.0 39.8 59.9
249 7 21 38.0 118.8 -23.8 127.0
250 7 22 14.3 32.5 7.1 36.2
251 7 23 -17.4 -3.5 -29.3 34.2
252 7 24 -29.5 -3.2 2.0 29.8
253 7 25 -7.6 3.7 28.1 29.4
254 7 26 -10.1 9.6 -10.0 17.1
255 7 27 2.3 8.3 28.8 30.1
256 7 28 8.8 149.8 243.2 285.8
257 7 29 20.2 8.6 43.2 48.5
258 7 30 30.8 34.2 18.2 49.5
259 7 31 43.3 33.6 35.2 65.1
260 7 32 43.1 23.3 34.9 60.2
261 7 33 29.6 -185.8 108.2 217.0
262 7 34 41.2 29.6 16.0 53.2
263 7 35 34.9 32.2 7.4 48.1
264 7 36 35.8 40.5 27.0 60.5
265 7 37 44.5 33.9 41.4 69.6
266 7 38 54.6 41.1 2.1 68.4
267 7 39 47.6 20.9 30.2 60.1
268 7 40 73.8 144.9 24.4 164.4
269 7 41 43.1 23.2 64.3 80.9
270 7 42 23.2 18.9 36.2 46.9
271 7 43 -26.4 6.9 -1.1 27.3
272 7 44 -8.7 7.6 43.7 45.2
273 7 45 2.1 -53.7 67.4 86.2
274 7 46 -0.4 -18.0 -1.6 18.1
275 7 47 -11.1 -19.3 -38.8 44.7
276 7 48 -26.9 95.7 -23.0 102.0
Creating sector-motor-move file
sector motor steps
1 1 7
1 2 8
1 3 -3
1 4 -4
1 5 -9
1 6 -3
1 7 1
1 8 -14
1 9 -2
1 10 -2
1 11 -12
1 12 2
1 13 -12
1 14 -11
1 15 -7
1 16 -15
1 17 -11
1 18 -4
1 19 -13
1 20 -9
1 21 -14
1 22 -8
1 23 -17
1 24 -8
1 25 5
1 26 -5
1 27 -3
1 28 -7
1 29 -3
1 30 3
1 31 -13
1 32 -5
1 33 -9
1 34 -10
1 35 -5
1 36 2
1 37 -8
1 38 7
1 39 1
1 40 -1
1 41 -2
1 42 -6
1 43 3
1 44 -6
1 45 -8
1 46 -5
1 47 -6
1 48 5
1 49 8
1 50 2
1 51 -2
1 52 5
1 53 9
1 54 1
1 55 8
1 56 3
1 57 1
1 58 6
1 59 -7
1 60 9
1 61 9
1 62 4
1 63 0
1 64 -2
1 65 4
1 66 0
1 67 8
1 68 0
1 69 1
2 1 3
2 2 8
2 3 -5
2 4 -9
2 5 2
2 6 1
2 7 12
2 8 5
2 9 -6
2 10 1
2 11 -6
2 12 -3
2 13 18
2 14 6
2 15 0
2 16 0
2 17 -7
2 18 -5
2 19 23
2 20 -3
2 21 2
2 22 -5
2 23 -4
2 24 0
2 25 5
2 26 2
2 27 5
2 28 0
2 29 2
2 30 0
2 31 -2
2 32 -3
2 33 11
2 34 5
2 35 1
2 36 2
2 37 -7
2 38 -1
2 39 1
2 40 3
2 41 1
2 42 4
2 43 0
2 44 -4
2 45 -3
2 46 -1
2 47 -1
2 48 5
2 49 0
2 50 1
2 51 0
2 52 4
2 53 4
2 54 7
2 55 4
2 56 1
2 57 0
2 58 8
2 59 -7
2 60 8
2 61 9
2 62 4
2 63 0
2 64 2
2 65 13
2 66 2
2 67 3
2 68 1
2 69 0
3 1 8
3 2 8
3 3 2
3 4 4
3 5 2
3 6 2
3 7 1
3 8 14
3 9 2
3 10 1
3 11 1
3 12 1
3 13 14
3 14 10
3 15 12
3 16 13
3 17 3
3 18 16
3 19 23
3 20 -1
3 21 12
3 22 22
3 23 3
3 24 6
3 25 6
3 26 0
3 27 -1
3 28 1
3 29 6
3 30 11
3 31 1
3 32 2
3 33 7
3 34 9
3 35 8
3 36 -4
3 37 2
3 38 5
3 39 3
3 40 1
3 41 2
3 42 2
3 43 6
3 44 1
3 45 1
3 46 2
3 47 0
3 48 2
3 49 8
3 50 7
3 51 11
3 52 15
3 53 14
3 54 0
3 55 1
3 56 4
3 57 0
3 58 11
3 59 -6
3 60 -6
3 61 6
3 62 0
3 63 5
3 64 8
3 65 1
3 66 6
3 67 6
3 68 13
3 69 1
4 1 2
4 2 20
4 3 13
4 4 6
4 5 -7
4 6 5
4 7 5
4 8 6
4 9 5
4 10 5
4 11 2
4 12 9
4 13 6
4 14 7
4 15 4
4 16 4
4 17 0
4 18 -2
4 19 14
4 20 13
4 21 9
4 22 9
4 23 5
4 24 2
4 25 1
4 26 0
4 27 0
4 28 5
4 29 -1
4 30 1
4 31 6
4 32 6
4 33 0
4 34 3
4 35 2
4 36 2
4 37 -1
4 38 7
4 39 3
4 40 1
4 41 3
4 42 -6
4 43 5
4 44 0
4 45 0
4 46 0
4 47 3
4 48 4
4 49 5
4 50 3
4 51 -1
4 52 4
4 53 9
4 54 8
4 55 3
4 56 2
4 57 4
4 58 0
4 59 -8
4 60 -1
4 61 6
4 62 9
4 63 -1
4 64 3
4 65 3
4 66 6
4 67 7
4 68 3
4 69 5
5 1 12
5 2 -6
5 3 12
5 4 0
5 5 -5
5 6 1
5 7 4
5 8 6
5 9 4
5 10 6
5 11 -4
5 12 -5
5 13 4
5 14 5
5 15 0
5 16 9
5 17 -5
5 18 -1
5 19 10
5 20 -6
5 21 2
5 22 2
5 23 -4
5 24 -1
5 25 0
5 26 -1
5 27 -1
5 28 0
5 29 -5
5 30 -6
5 31 2
5 32 -4
5 33 -6
5 34 -5
5 35 -4
5 36 0
5 37 57
5 38 -6
5 39 -3
5 40 0
5 41 -4
5 42 5
5 43 -8
5 44 -5
5 45 0
5 46 3
5 47 2
5 48 3
5 49 1
5 50 4
5 51 2
5 52 -2
5 53 3
5 54 1
5 55 4
5 56 3
5 57 4
5 58 6
5 59 -12
5 60 9
5 61 3
5 62 6
5 63 2
5 64 2
5 65 1
5 66 3
5 67 -1
5 68 1
5 69 7
6 1 0
6 2 0
6 3 -9
6 4 -1
6 5 -9
6 6 -8
6 7 -8
6 8 -1
6 9 -5
6 10 -4
6 11 -3
6 12 -10
6 13 2
6 14 9
6 15 4
6 16 8
6 17 -6
6 18 1
6 19 -7
6 20 36
6 21 11
6 22 -17
6 23 -5
6 24 -14
6 25 -9
6 26 -3
6 27 -1
6 28 0
6 29 -6
6 30 12
6 31 -11
6 32 1
6 33 2
6 34 -8
6 35 -10
6 36 -7
6 37 -11
6 38 3
6 39 0
6 40 -3
6 41 -4
6 42 1
6 43 -3
6 44 -3
6 45 -2
6 46 -1
6 47 -8
6 48 -5
6 49 -3
6 50 -1
6 51 2
6 52 0
6 53 3
6 54 -4
6 55 -1
6 56 -3
6 57 -5
6 58 0
6 59 -19
6 60 -2
6 61 2
6 62 -1
6 63 3
6 64 -7
6 65 0
6 66 0
6 67 -5
6 68 -5
6 69 -10
7 1 74
7 2 45
7 3 2
7 4 50
7 5 8
7 6 5
7 7 8
7 8 2
7 9 0
7 10 5
7 11 -6
7 12 5
7 13 -3
7 14 2
7 15 -3
7 16 -5
7 17 -2
7 18 -3
7 19 8
7 20 1
7 21 -2
7 22 0
7 23 -8
7 24 -6
7 25 1
7 26 -3
7 27 -1
7 28 -3
7 29 -6
7 30 -8
7 31 0
7 32 1
7 33 0
7 34 -4
7 35 -4
7 36 -11
7 37 -11
7 38 -1
7 39 -1
7 40 5
7 41 0
7 42 -9
7 43 -7
7 44 -4
7 45 -1
7 46 11
7 47 -6
7 48 10
7 49 0
7 50 -2
7 51 -3
7 52 -3
7 53 -1
7 54 -5
7 55 -5
7 56 -3
7 57 -4
7 58 -3
7 59 -16
7 60 7
7 61 -4
7 62 -7
7 63 -6
7 64 -2
7 65 -7
7 66 -6
7 67 0
7 68 -3
7 69 1
8 1 10
8 2 7
8 3 13
8 4 1
8 5 0
8 6 0
8 7 10
8 8 10
8 9 13
8 10 12
8 11 -2
8 12 0
8 13 5
8 14 10
8 15 9
8 16 14
8 17 -3
8 18 -2
8 19 13
8 20 2
8 21 6
8 22 10
8 23 1
8 24 1
8 25 -3
8 26 -6
8 27 -4
8 28 -4
8 29 -2
8 30 -3
8 31 -1
8 32 -2
8 33 -4
8 34 -1
8 35 -9
8 36 0
8 37 -3
8 38 -3
8 39 -2
8 40 -5
8 41 -8
8 42 -9
8 43 0
8 44 -2
8 45 -5
8 46 -17
8 47 -6
8 48 -9
8 49 -3
8 50 0
8 51 0
8 52 0
8 53 -4
8 54 5
8 55 -6
8 56 -4
8 57 -3
8 58 5
8 59 -17
8 60 14
8 61 -3
8 62 -1
8 63 6
8 64 1
8 65 -4
8 66 0
8 67 0
8 68 3
8 69 3
9 1 8
9 2 12
9 3 10
9 4 12
9 5 14
9 6 1
9 7 2
9 8 9
9 9 10
9 10 10
9 11 2
9 12 -3
9 13 4
9 14 9
9 15 12
9 16 20
9 17 1
9 18 18
9 19 33
9 20 -56
9 21 9
9 22 37
9 23 -4
9 24 0
9 25 6
9 26 3
9 27 0
9 28 1
9 29 0
9 30 -3
9 31 -5
9 32 2
9 33 -4
9 34 -3
9 35 0
9 36 -13
9 37 -8
9 38 3
9 39 -8
9 40 0
9 41 1
9 42 1
9 43 1
9 44 -11
9 45 -3
9 46 -4
9 47 -5
9 48 -2
9 49 0
9 50 3
9 51 14
9 52 10
9 53 7
9 54 0
9 55 0
9 56 3
9 57 2
9 58 2
9 59 -21
9 60 4
9 61 2
9 62 0
9 63 9
9 64 1
9 65 4
9 66 5
9 67 -2
9 68 6
9 69 2
10 1 7
10 2 44
10 3 22
10 4 19
10 5 1
10 6 -3
10 7 9
10 8 6
10 9 14
10 10 12
10 11 0
10 12 9
10 13 0
10 14 12
10 15 16
10 16 6
10 17 4
10 18 2
10 19 12
10 20 10
10 21 13
10 22 12
10 23 6
10 24 -1
10 25 -2
10 26 -3
10 27 -2
10 28 2
10 29 -3
10 30 0
10 31 -12
10 32 7
10 33 0
10 34 2
10 35 0
10 36 0
10 37 -4
10 38 3
10 39 0
10 40 6
10 41 2
10 42 -1
10 43 3
10 44 1
10 45 -3
10 46 3
10 47 1
10 48 13
10 49 4
10 50 6
10 51 8
10 52 4
10 53 1
10 54 5
10 55 5
10 56 5
10 57 8
10 58 1
10 59 -11
10 60 9
10 61 6
10 62 7
10 63 10
10 64 3
10 65 5
10 66 6
10 67 4
10 68 0
10 69 7
11 1 13
11 2 2
11 3 -2
11 4 -2
11 5 -4
11 6 -9
11 7 0
11 8 2
11 9 -8
11 10 0
11 11 -3
11 12 -7
11 13 11
11 14 5
11 15 7
11 16 6
11 17 -3
11 18 -8
11 19 19
11 20 7
11 21 13
11 22 2
11 23 0
11 24 -5
11 25 -8
11 26 -5
11 27 -2
11 28 0
11 29 0
11 30 0
11 31 -5
11 32 -3
11 33 1
11 34 6
11 35 -2
11 36 3
11 37 -1
11 38 -4
11 39 0
11 40 2
11 41 -2
11 42 3
11 43 -3
11 44 -2
11 45 -1
11 46 1
11 47 -2
11 48 -4
11 49 1
11 50 5
11 51 2
11 52 3
11 53 5
11 54 19
11 55 0
11 56 4
11 57 0
11 58 2
11 59 1
11 60 9
11 61 0
11 62 2
11 63 7
11 64 0
11 65 6
11 66 3
11 67 2
11 68 3
11 69 3
12 1 -7
12 2 29
12 3 -8
12 4 -10
12 5 -18
12 6 -9
12 7 -11
12 8 -5
12 9 -3
12 10 -9
12 11 -11
12 12 -7
12 13 0
12 14 -5
12 15 0
12 16 8
12 17 -13
12 18 -3
12 19 20
12 20 -16
12 21 0
12 22 17
12 23 -11
12 24 -9
12 25 2
12 26 -7
12 27 -5
12 28 -6
12 29 -7
12 30 4
12 31 -7
12 32 -1
12 33 1
12 34 -17
12 35 -4
12 36 -6
12 37 0
12 38 -9
12 39 -3
12 40 -4
12 41 -5
12 42 0
12 43 -10
12 44 -6
12 45 1
12 46 -1
12 47 -2
12 48 -1
12 49 9
12 50 2
12 51 8
12 52 2
12 53 -1
12 54 4
12 55 4
12 56 2
12 57 1
12 58 11
12 59 0
12 60 7
12 61 6
12 62 0
12 63 6
12 64 1
12 65 11
12 66 0
12 67 7
12 68 3
12 69 -2
Adjuster movements: rms = 28.1 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050213-215850
Creating HTML output file of plots
Plotting summary text