![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20040808-224129.fits
Reduced on 20040809-143826 by janw on moana
Reduction code id: 2.20 (created Jan 28 2004 at 09:18:22) (TDL_BIN = /jac_sw/itsroot/install/tdl_2p20)
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 | rxh3-20040808-224129.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | -4.7 |
| data.pointing_offset_y | 10.9 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.87 |
| 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 | 0.033869999999999997 |
| 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: 20040809-143826
Reading data from rxh3-20040808-224129.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 = 2402.2 max = 2432.6 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.870 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 2.92236 -0.02580
loimag -3.17627 3.06885 0.00101
hireal -5.00000 4.99756 -0.31165
hiimag -5.00000 4.99756 -0.20395
xpos -2432.61352 2416.96798 -10.03238
ypos -2402.80673 2402.18132 -0.00404
plock160 0.73486 2.24854 1.55545
lorefpwr 0.30029 1.65283 1.24242
losigpwr -4.57031 -0.28809 -4.38280
hirefpwr 0.37598 1.70410 1.29395
hisigpwr -4.47754 4.99756 -0.77316
encltemp 31.56738 32.76367 32.08485
flags 0.00000 256.00000 2.76738
phi-lock -1.31836 0.08545 -0.63963
sindex 0.00000 128.00000 63.61104
time 0.00000 2948.99435 1473.94078
zeropt -0.00732 -0.00244 -0.00423
!!!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 = 40.00622 arcsec
Mean row spacing = 40.00625 arcsec (alternate estimator)
Mean tracking incline = 0.03536 arcsec
Mean pointing range = 0.57510 arcsec
Mean pointing rms = 0.10440 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (-4.7, 10.9 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Doing geometric phase correction
Status bits counts:
bit: 0 1 2 3 4 5 6 7 8
set: 0 0 0 0 0 0 0 0 4000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 22680 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 22680 data points
No calibration requested...
Creating template maps for gridding
Using a grid cellsize of 40.0 arcseconds
Using a grid of 128 points
Grid has even number of points
Maximum data offset = 2432.61 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 = 2.81673 at (0.0, -40.01493689163285) arcsec
Real: mean = 0.00128122 sum of squares = 1063.31
Imag: mean = -0.0014898 sum of squares = 933.985
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 = 2.82197 at (0.0, 0.0) arcsec
Real: mean = 0.000990112 sum of squares = 986.417
Imag: mean = -0.0018786 sum of squares = 1011.56
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 = 2.83164 at (0.0, 0.0) arcsec
Real: mean = 0.00105121 sum of squares = 917.771
Imag: mean = -0.00252031 sum of squares = 1080.02
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 = 2.86423 at (0.0, 0.0) arcsec
Real: mean = 0.0015456 sum of squares = 905.281
Imag: mean = -0.00310245 sum of squares = 1092.76
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 = 2.90627 at (0.0, 0.0) arcsec
Real: mean = 0.00229039 sum of squares = 959.808
Imag: mean = -0.0032155 sum of squares = 1040.17
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 = 2.97055 at (0.0, 0.0) arcsec
Real: mean = 0.00281715 sum of squares = 1047.64
Imag: mean = -0.00285059 sum of squares = 957.714
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 = 3.02396 at (0.0, 0.0) arcsec
Real: mean = 0.00304091 sum of squares = 1106.65
Imag: mean = -0.00245079 sum of squares = 906.175
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 = 3.05423 at (0.0, 0.0) arcsec
Real: mean = 0.00314656 sum of squares = 1090.37
Imag: mean = -0.00220528 sum of squares = 928.688
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 = 3.04714 at (0.0, 0.0) arcsec
Real: mean = 0.00332062 sum of squares = 1013.35
Imag: mean = -0.00189807 sum of squares = 1011.75
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 = 3.02288 at (0.0, 0.0) arcsec
Real: mean = 0.00335326 sum of squares = 936.683
Imag: mean = -0.00139608 sum of squares = 1091.31
Gridding frequency index 10
lambda = 0.00373071 metres, scale = 0.00129952 radians per metre
Gridding real part of frequency 10...
Gridding imag part of frequency 10...
Pattern is holo(res.pattern10)
Weights in holo(obs.real,wt10) and holo(obs.imag,wt10)
Maximum amplitude = 2.98062 at (0.0, 0.0) arcsec
Real: mean = 0.0029797 sum of squares = 919.528
Imag: mean = -0.000896129 sum of squares = 1111.98
Gridding frequency index 11
lambda = 0.00373062 metres, scale = 0.00129955 radians per metre
Gridding real part of frequency 11...
Gridding imag part of frequency 11...
Pattern is holo(res.pattern11)
Weights in holo(obs.real,wt11) and holo(obs.imag,wt11)
Maximum amplitude = 2.94801 at (0.0, 0.0) arcsec
Real: mean = 0.00246035 sum of squares = 972.292
Imag: mean = -0.000762808 sum of squares = 1061.91
Gridding frequency index 12
lambda = 0.00373053 metres, scale = 0.00129959 radians per metre
Gridding real part of frequency 12...
Gridding imag part of frequency 12...
Pattern is holo(res.pattern12)
Weights in holo(obs.real,wt12) and holo(obs.imag,wt12)
Maximum amplitude = 2.90727 at (0.0, 0.0) arcsec
Real: mean = 0.00203513 sum of squares = 1058.96
Imag: mean = -0.000888334 sum of squares = 979.738
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 = 2.89093 at (0.0, 0.0) arcsec
Real: mean = 0.00173048 sum of squares = 1117.63
Imag: mean = -0.00107586 sum of squares = 926.51
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 = 2.87365 at (0.0, 0.0) arcsec
Real: mean = 0.00140699 sum of squares = 1108.03
Imag: mean = -0.00134255 sum of squares = 940.823
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 = 2.89403 at (0.0, 0.0) arcsec
Real: mean = 0.00123842 sum of squares = 1040.71
Imag: mean = -0.00186016 sum of squares = 1012.24
Masking frequency index 0
Mask scale size = 3.05849
Masking frequency index 1
Mask scale size = 3.05857
Masking frequency index 2
Mask scale size = 3.05864
Masking frequency index 3
Mask scale size = 3.05872
Masking frequency index 4
Mask scale size = 3.05879
Masking frequency index 5
Mask scale size = 3.05887
Masking frequency index 6
Mask scale size = 3.05895
Masking frequency index 7
Mask scale size = 3.05902
Masking frequency index 8
Mask scale size = 3.0591
Masking frequency index 9
Mask scale size = 3.05918
Masking frequency index 10
Mask scale size = 3.05925
Masking frequency index 11
Mask scale size = 3.05933
Masking frequency index 12
Mask scale size = 3.0594
Masking frequency index 13
Mask scale size = 3.05948
Masking frequency index 14
Mask scale size = 3.05956
Masking frequency index 15
Mask scale size = 3.05963
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.178223
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.17334
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.166016
Median point-to-point PLL voltage change: 0.0146484
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.0146484
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 0.234 110.43
Freq 1: Shift, scale = -0.19967 109.21
Freq 2: Shift, scale = -0.63455 107.51
Freq 3: Shift, scale = -1.0684 105.56
Freq 4: Shift, scale = -1.5021 103.98
Freq 5: Shift, scale = -1.9406 103.05
Freq 6: Shift, scale = -2.3821 103.29
Freq 7: Shift, scale = -2.8298 104.28
Freq 8: Shift, scale = 3.003 105.68
Freq 9: Shift, scale = 2.5543 107.2
Freq 10: Shift, scale = 2.1099 108.59
Freq 11: Shift, scale = 1.6726 109.93
Freq 12: Shift, scale = 1.2407 110.71
Freq 13: Shift, scale = 0.812 111.3
Freq 14: Shift, scale = 0.38293 111.06
Freq 15: Shift, scale = -0.045207 110.16
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: -0.134 radians
x offset: -0.0426 arcsec
y offset: 0.032 arcsec
defocus: 0.00209 mm
Estimated x pointing error is -4.743 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.93 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.872 mm (used 2.87 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.131 radians
x offset: -0.0585 arcsec
y offset: 0.0531 arcsec
defocus: 0.00192 mm
Estimated x pointing error is -4.758 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.95 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.872 mm (used 2.87 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.127 radians
x offset: -0.0537 arcsec
y offset: 0.0781 arcsec
defocus: 0.00208 mm
Estimated x pointing error is -4.754 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.98 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.872 mm (used 2.87 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.117 radians
x offset: -0.214 arcsec
y offset: 0.0863 arcsec
defocus: 0.00617 mm
Estimated x pointing error is -4.914 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.99 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.876 mm (used 2.87 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.115 radians
x offset: -0.22 arcsec
y offset: 0.0789 arcsec
defocus: 0.00266 mm
Estimated x pointing error is -4.92 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.98 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.873 mm (used 2.87 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.118 radians
x offset: -0.239 arcsec
y offset: 0.0802 arcsec
defocus: 0.00107 mm
Estimated x pointing error is -4.939 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.98 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.871 mm (used 2.87 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.121 radians
x offset: -0.249 arcsec
y offset: 0.0726 arcsec
defocus: 0.00107 mm
Estimated x pointing error is -4.949 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.97 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.871 mm (used 2.87 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.131 radians
x offset: -0.245 arcsec
y offset: 0.0524 arcsec
defocus: 0.00202 mm
Estimated x pointing error is -4.945 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.95 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.872 mm (used 2.87 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.142 radians
x offset: -0.212 arcsec
y offset: 0.0283 arcsec
defocus: 0.00448 mm
Estimated x pointing error is -4.912 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.93 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.874 mm (used 2.87 mm)
Fitting frequency 9
Minimiser fit code = 1
piston: -0.154 radians
x offset: -0.154 arcsec
y offset: 0.00725 arcsec
defocus: 0.00316 mm
Estimated x pointing error is -4.854 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.91 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.873 mm (used 2.87 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.161 radians
x offset: -0.101 arcsec
y offset: -0.0185 arcsec
defocus: 0.00345 mm
Estimated x pointing error is -4.801 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.88 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.873 mm (used 2.87 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.162 radians
x offset: -0.0377 arcsec
y offset: -0.0287 arcsec
defocus: 0.00121 mm
Estimated x pointing error is -4.738 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.87 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.871 mm (used 2.87 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.157 radians
x offset: -0.00083 arcsec
y offset: -0.021 arcsec
defocus: -0.00145 mm
Estimated x pointing error is -4.701 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.88 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.869 mm (used 2.87 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.149 radians
x offset: 0.032 arcsec
y offset: -0.0112 arcsec
defocus: -0.0038 mm
Estimated x pointing error is -4.668 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.89 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.866 mm (used 2.87 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.139 radians
x offset: 0.0357 arcsec
y offset: -0.00305 arcsec
defocus: -0.00482 mm
Estimated x pointing error is -4.664 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.9 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.865 mm (used 2.87 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.129 radians
x offset: 0.0399 arcsec
y offset: -0.00452 arcsec
defocus: -0.00608 mm
Estimated x pointing error is -4.66 arcsec (used -4.7 arcsec)
Estimated y pointing error is 10.9 arcsec (used 10.9 arcsec)
Estimated defocus error is 2.864 mm (used 2.87 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 -0.00078 piston
1 1 0.00304 tilt_x
1 -1 0.00041 tilt_y
2 2 0.05757 astigmatism_0
2 0 -0.00168 curvature
2 -2 0.01865 astigmatism45
3 3 -0.00691 trefoil_0
3 1 -0.00540 coma_x
3 -1 -0.00296 coma_y
3 -3 -0.00076 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 -0.00074 piston
1 1 0.00274 tilt_x
1 -1 0.00088 tilt_y
2 2 0.05869 astigmatism_0
2 0 -0.00149 curvature
2 -2 0.01793 astigmatism45
3 3 -0.00736 trefoil_0
3 1 -0.00665 coma_x
3 -1 -0.00146 coma_y
3 -3 -0.00190 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 0.00349 tilt_x
1 -1 0.00168 tilt_y
2 2 0.05868 astigmatism_0
2 0 -0.00114 curvature
2 -2 0.01687 astigmatism45
3 3 -0.00772 trefoil_0
3 1 -0.00416 coma_x
3 -1 0.00137 coma_y
3 -3 -0.00260 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 -0.00106 piston
1 1 -0.00022 tilt_x
1 -1 0.00290 tilt_y
2 2 0.06943 astigmatism_0
2 0 -0.00297 curvature
2 -2 0.01531 astigmatism45
3 3 -0.00124 trefoil_0
3 1 -0.01789 coma_x
3 -1 0.00496 coma_y
3 -3 -0.00323 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 -0.00106 piston
1 1 0.00030 tilt_x
1 -1 0.00397 tilt_y
2 2 0.06837 astigmatism_0
2 0 -0.00288 curvature
2 -2 0.01425 astigmatism45
3 3 -0.00222 trefoil_0
3 1 -0.01574 coma_x
3 -1 0.00871 coma_y
3 -3 -0.00234 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 -0.00109 piston
1 1 0.00111 tilt_x
1 -1 0.00446 tilt_y
2 2 0.06789 astigmatism_0
2 0 -0.00284 curvature
2 -2 0.01550 astigmatism45
3 3 -0.00246 trefoil_0
3 1 -0.01295 coma_x
3 -1 0.01005 coma_y
3 -3 -0.00090 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 -0.00117 piston
1 1 0.00130 tilt_x
1 -1 0.00455 tilt_y
2 2 0.06823 astigmatism_0
2 0 -0.00313 curvature
2 -2 0.01667 astigmatism45
3 3 -0.00180 trefoil_0
3 1 -0.01257 coma_x
3 -1 0.01010 coma_y
3 -3 -0.00075 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 -0.00121 piston
1 1 0.00175 tilt_x
1 -1 0.00419 tilt_y
2 2 0.06784 astigmatism_0
2 0 -0.00324 curvature
2 -2 0.01864 astigmatism45
3 3 -0.00121 trefoil_0
3 1 -0.01138 coma_x
3 -1 0.00865 coma_y
3 -3 -0.00020 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 -0.00120 piston
1 1 0.00226 tilt_x
1 -1 0.00343 tilt_y
2 2 0.06804 astigmatism_0
2 0 -0.00319 curvature
2 -2 0.01915 astigmatism45
3 3 -0.00219 trefoil_0
3 1 -0.01015 coma_x
3 -1 0.00644 coma_y
3 -3 0.00081 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 -0.00113 piston
1 1 0.00254 tilt_x
1 -1 0.00241 tilt_y
2 2 0.06600 astigmatism_0
2 0 -0.00305 curvature
2 -2 0.01806 astigmatism45
3 3 -0.00346 trefoil_0
3 1 -0.00912 coma_x
3 -1 0.00382 coma_y
3 -3 0.00175 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 -0.00104 piston
1 1 0.00345 tilt_x
1 -1 0.00183 tilt_y
2 2 0.06576 astigmatism_0
2 0 -0.00269 curvature
2 -2 0.01650 astigmatism45
3 3 -0.00492 trefoil_0
3 1 -0.00635 coma_x
3 -1 0.00252 coma_y
3 -3 0.00190 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 -0.00095 piston
1 1 0.00366 tilt_x
1 -1 0.00163 tilt_y
2 2 0.06305 astigmatism_0
2 0 -0.00234 curvature
2 -2 0.01510 astigmatism45
3 3 -0.00753 trefoil_0
3 1 -0.00516 coma_x
3 -1 0.00214 coma_y
3 -3 0.00104 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 -0.00087 piston
1 1 0.00421 tilt_x
1 -1 0.00183 tilt_y
2 2 0.06216 astigmatism_0
2 0 -0.00197 curvature
2 -2 0.01430 astigmatism45
3 3 -0.01043 trefoil_0
3 1 -0.00335 coma_x
3 -1 0.00296 coma_y
3 -3 0.00017 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 -0.00082 piston
1 1 0.00466 tilt_x
1 -1 0.00209 tilt_y
2 2 0.06226 astigmatism_0
2 0 -0.00169 curvature
2 -2 0.01452 astigmatism45
3 3 -0.01247 trefoil_0
3 1 -0.00208 coma_x
3 -1 0.00370 coma_y
3 -3 -0.00130 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 -0.00075 piston
1 1 0.00465 tilt_x
1 -1 0.00235 tilt_y
2 2 0.06269 astigmatism_0
2 0 -0.00148 curvature
2 -2 0.01432 astigmatism45
3 3 -0.01409 trefoil_0
3 1 -0.00204 coma_x
3 -1 0.00477 coma_y
3 -3 -0.00118 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 -0.00067 piston
1 1 0.00463 tilt_x
1 -1 0.00260 tilt_y
2 2 0.06255 astigmatism_0
2 0 -0.00118 curvature
2 -2 0.01372 astigmatism45
3 3 -0.01403 trefoil_0
3 1 -0.00177 coma_x
3 -1 0.00576 coma_y
3 -3 -0.00082 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: 28.6 18.4 19.5 28 25.6 30.4 38 30.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.6 18 19.1 27.3 25.1 28.1 37.5 29.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.47 1.29 2.42 4.03 6.1 8.57 11.5 7.57
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.7 18.2 19.6 31.7 25.7 30.5 38.3 31.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.7 17.8 19.2 31.1 25.2 28.2 37.9 30.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.502 1.34 2.48 4.1 6.19 8.7 11.6 7.69
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27 17.8 19.4 35.2 25.7 30.5 37.9 31.7
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.9 17.4 19 34.7 25.2 28.2 37.6 31
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.403 1.21 2.37 4.02 6.15 8.66 11.6 7.63
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.1 17.8 19 36 25.7 30.5 37.3 31.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27 17.4 18.7 35.3 25.1 28.1 37.3 31
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.12 2.36 3.58 5.16 7.27 10 13.6 9.05
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.3 18.2 18.9 32.6 25.8 30.9 37.1 31.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.2 17.7 18.5 32 25.2 28.5 37 30.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.09 2.29 3.49 5.05 7.14 9.87 13.4 8.88
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28 18.7 19.4 30.2 26.2 31.3 37.3 31
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 27.9 18.2 19.1 29.6 25.6 29 37.2 30.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.01 2.15 3.36 4.96 7.1 9.83 13.3 8.82
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29 18.6 20.5 28.7 26.4 31.7 38.2 31.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.9 18.1 20.1 28.2 25.8 29.4 38 30.3
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.992 2.14 3.35 4.98 7.15 9.91 13.4 8.89
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 18.7 21.4 27.3 26.4 31.9 38.7 31
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.3 18.2 21.1 26.6 25.8 29.6 38.4 30.2
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.895 1.99 3.22 4.9 7.14 9.93 13.4 8.86
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 32 18.7 21.7 25.7 26.3 31.8 39.1 30.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 18.3 21.4 24.9 25.7 29.4 38.7 30
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.779 1.81 3.07 4.83 7.14 9.97 13.4 8.87
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33 18.6 21.6 24.9 25.9 31.3 38.7 30.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33 18.2 21.4 24 25.4 28.9 38.3 29.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.668 1.63 2.87 4.62 6.9 9.66 12.9 8.57
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 33 18.2 20.7 24.5 25.7 30.9 38.2 29.9
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 33 17.8 20.5 23.6 25.1 28.5 37.7 29
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.526 1.44 2.69 4.49 6.81 9.58 12.8 8.46
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 17.9 19.4 24.9 25.3 30.5 37.8 29.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 31.9 17.5 19.1 24 24.7 28.2 37.3 28.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.464 1.33 2.54 4.28 6.52 9.18 12.3 8.11
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 18 19.1 25.1 25.2 30.5 37.4 29.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 30.4 17.6 18.7 24.4 24.6 28.1 36.8 28.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.418 1.26 2.47 4.2 6.43 9.07 12.1 8
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.8 18 19.2 25.9 25.2 30.4 37.1 29.6
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.8 17.7 18.8 25.2 24.6 28 36.4 28.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.411 1.26 2.47 4.21 6.46 9.13 12.2 8.05
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 17.9 19.3 26.9 25.1 30.4 36.8 29.8
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 29.6 17.6 18.9 26.3 24.4 27.9 36.1 28.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.447 1.3 2.52 4.25 6.52 9.21 12.3 8.13
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.8 17.8 19.4 30.2 25.3 30.4 36.5 30.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 28.8 17.4 19 29.6 24.6 27.9 35.8 29.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.479 1.34 2.54 4.25 6.5 9.17 12.3 8.1
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 16.5 17.7 21.8 24.5 29.6 36.3 28.4
Mean deviation is -0.58744942195848704 microns
Taper = 10 dB, Ruze illumination-weighted rms = 27.4 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 24.1 micron
Centre pixel: 64.0 64.0 Value = 2988.36 (estimate), 3708.89 (perfect)
Strehl = 0.6492
Strehl ratio estimate = 0.6492
Estimating beam: f = 900GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 900 GHz Ruze rms = 23.3 micron
Centre pixel: 64.0 64.0 Value = 2524.11 (estimate), 3708.89 (perfect)
Strehl = 0.463159
Strehl ratio estimate = 0.4632
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 -36.3 -7.5 -4.1 37.3
2 1 2 -25.1 -1.8 8.6 26.6
3 1 3 -2.5 5.3 -22.0 22.8
4 1 4 -10.9 -7.6 -30.5 33.3
5 1 5 -42.7 8.2 41.3 60.0
6 1 6 -38.4 -3.2 -12.1 40.4
7 1 7 -36.4 -11.5 24.0 45.1
8 1 8 -43.1 26.9 41.3 65.4
9 1 9 -102.1 -6.3 10.1 102.8
10 1 10 -32.5 9.3 23.5 41.1
11 1 11 -6.7 0.3 2.1 7.0
12 1 12 -29.8 -7.1 -2.1 30.7
13 2 1 3.5 -15.1 -12.1 19.7
14 2 2 -7.2 12.0 0.1 14.0
15 2 3 12.4 -14.0 -17.8 25.8
16 2 4 -1.7 -13.6 -2.0 13.9
17 2 5 3.8 1.3 6.8 7.9
18 2 6 -8.7 26.7 31.3 42.1
19 2 7 -11.0 14.9 14.6 23.6
20 2 8 4.9 20.6 9.6 23.2
21 2 9 12.5 -2.0 -3.4 13.1
22 2 10 -0.6 0.4 -2.7 2.8
23 2 11 -19.7 1.1 2.1 19.8
24 2 12 -23.9 1.6 -12.9 27.2
25 2 13 -27.4 -9.6 -15.8 33.1
26 2 14 -24.3 -19.8 2.4 31.4
27 2 15 -7.0 -1.0 -11.0 13.1
28 2 16 13.7 -11.1 -4.8 18.3
29 2 17 9.3 -5.7 -3.2 11.4
30 2 18 6.0 11.8 10.6 16.9
31 2 19 0.1 -0.0 6.4 6.4
32 2 20 11.7 -13.9 -15.7 24.0
33 2 21 1.2 -5.9 -20.6 21.5
34 2 22 8.1 -22.1 -16.1 28.5
35 2 23 0.5 -10.1 2.0 10.3
36 2 24 -3.8 -8.0 -9.7 13.1
37 3 1 8.1 11.1 4.7 14.5
38 3 2 11.7 13.2 2.4 17.8
39 3 3 -1.7 7.3 5.0 9.0
40 3 4 8.7 7.2 32.0 33.9
41 3 5 -3.5 23.4 26.5 35.5
42 3 6 -16.7 8.7 24.9 31.3
43 3 7 -17.6 6.7 -0.0 18.8
44 3 8 -5.1 9.8 2.6 11.4
45 3 9 7.3 8.4 4.7 12.1
46 3 10 -4.1 14.2 -0.9 14.8
47 3 11 25.6 19.7 11.9 34.4
48 3 12 10.0 31.4 9.4 34.3
49 3 13 5.3 26.0 40.4 48.3
50 3 14 22.9 13.5 60.4 66.0
51 3 15 -5.1 10.7 24.4 27.1
52 3 16 7.7 16.8 25.7 31.7
53 3 17 12.4 24.2 25.1 37.0
54 3 18 10.7 19.8 30.1 37.6
55 3 19 18.0 21.1 15.3 31.7
56 3 20 17.4 18.4 12.7 28.3
57 3 21 14.9 7.6 10.9 20.0
58 3 22 1.1 1.1 6.4 6.5
59 3 23 5.1 0.9 -12.7 13.7
60 3 24 -16.4 -10.3 -24.7 31.3
61 3 25 -7.9 -14.6 -20.1 26.1
62 3 26 -12.5 2.3 -8.7 15.4
63 3 27 -1.6 2.4 4.4 5.3
64 3 28 30.8 14.2 0.4 33.9
65 3 29 30.8 17.7 4.0 35.7
66 3 30 6.2 2.8 2.8 7.3
67 3 31 -2.0 17.0 23.4 29.0
68 3 32 12.4 25.6 14.3 31.8
69 3 33 15.7 24.1 25.3 38.3
70 3 34 12.4 6.7 14.3 20.1
71 3 35 51.8 16.7 3.3 54.5
72 3 36 26.1 24.1 8.9 36.7
73 3 37 27.3 20.4 -11.0 35.8
74 3 38 21.3 11.5 3.7 24.4
75 3 39 6.4 11.5 -4.7 14.0
76 3 40 24.2 3.7 5.3 25.1
77 3 41 6.1 6.6 9.7 13.2
78 3 42 -9.7 18.1 9.5 22.6
79 3 43 -4.0 17.8 9.1 20.4
80 3 44 20.5 17.3 9.7 28.6
81 3 45 23.6 8.7 9.5 26.9
82 3 46 8.5 9.0 3.4 12.8
83 3 47 16.4 8.8 -3.7 19.0
84 3 48 -1.0 12.2 -15.2 19.5
85 4 1 -19.9 -24.1 -5.4 31.8
86 4 2 7.1 -16.5 -50.3 53.4
87 4 3 3.5 -13.1 -29.0 32.1
88 4 4 8.3 3.8 -35.8 37.0
89 4 5 20.8 4.4 -17.2 27.3
90 4 6 27.5 10.6 -12.2 31.9
91 4 7 29.8 10.2 5.9 32.1
92 4 8 11.9 14.0 -3.4 18.7
93 4 9 8.6 5.7 -6.9 12.4
94 4 10 1.0 12.0 -17.2 21.0
95 4 11 -3.6 10.9 -41.0 42.6
96 4 12 -26.1 -3.9 5.2 26.9
97 4 13 22.7 11.6 21.3 33.2
98 4 14 19.9 1.6 -28.5 34.8
99 4 15 13.3 12.6 20.2 27.2
100 4 16 6.0 22.8 20.8 31.4
101 4 17 20.3 29.8 22.4 42.5
102 4 18 44.8 7.4 27.6 53.1
103 4 19 16.2 6.4 -18.7 25.6
104 4 20 7.0 -1.6 -12.5 14.4
105 4 21 -8.1 -8.6 -4.8 12.8
106 4 22 -28.4 -1.8 4.6 28.8
107 4 23 -28.0 -11.4 -25.0 39.3
108 4 24 -19.5 -12.1 6.2 23.8
109 4 25 -32.6 -10.1 34.9 48.9
110 4 26 -23.4 -13.3 -30.9 41.0
111 4 27 -16.9 -9.3 4.4 19.8
112 4 28 -14.2 -7.5 4.3 16.7
113 4 29 -24.5 6.0 -39.1 46.6
114 4 30 -11.2 -6.3 8.6 15.4
115 4 31 10.2 -6.6 8.1 14.6
116 4 32 7.3 19.6 6.0 21.7
117 4 33 12.0 13.6 18.2 25.7
118 4 34 17.7 12.5 16.2 27.1
119 4 35 -26.5 4.2 -47.8 54.8
120 4 36 -15.2 2.1 -11.6 19.2
121 4 37 20.7 9.4 2.3 22.8
122 4 38 6.6 -5.4 -20.4 22.1
123 4 39 5.9 7.5 -5.2 10.9
124 4 40 -9.2 9.4 -5.0 14.1
125 4 41 7.5 21.5 16.6 28.2
126 4 42 37.3 5.1 6.6 38.2
127 4 43 14.7 4.1 -2.5 15.5
128 4 44 4.2 10.3 -3.3 11.6
129 4 45 1.8 3.6 -15.5 16.0
130 4 46 2.0 -15.1 -23.5 28.0
131 4 47 -14.8 -17.1 -46.5 51.7
132 4 48 -15.3 -20.1 -18.6 31.4
133 5 1 -3.9 -3.8 -7.1 8.9
134 5 2 -10.0 -4.1 -9.1 14.1
135 5 3 -14.8 -14.4 -29.7 36.1
136 5 4 0.8 0.9 8.0 8.1
137 5 5 -7.8 4.3 0.6 8.9
138 5 6 10.2 9.4 -12.9 19.0
139 5 7 14.0 11.5 2.9 18.3
140 5 8 9.3 17.1 -5.9 20.4
141 5 9 6.4 7.6 4.7 11.0
142 5 10 -7.7 -19.5 -31.9 38.2
143 5 11 2.7 -5.0 12.2 13.4
144 5 12 -15.1 17.6 10.3 25.4
145 5 13 -0.4 12.6 8.0 15.0
146 5 14 -6.8 12.4 6.5 15.6
147 5 15 14.1 -2.8 -14.6 20.5
148 5 16 22.5 21.6 14.5 34.4
149 5 17 10.3 15.0 -11.6 21.6
150 5 18 -3.1 -4.9 214.8 214.8
151 5 19 -10.5 -3.9 11.2 15.9
152 5 20 -6.5 12.2 -2.7 14.1
153 5 21 9.7 9.4 -3.3 13.9
154 5 22 3.3 -21.2 -34.3 40.5
155 5 23 -16.0 -11.5 -33.2 38.6
156 5 24 0.7 -20.3 -47.0 51.2
157 5 25 2.8 -20.7 -52.4 56.4
158 5 26 -3.8 -6.9 -36.0 36.8
159 5 27 10.2 -31.4 -41.1 52.7
160 5 28 20.9 8.4 -22.0 31.5
161 5 29 19.5 10.3 -0.7 22.1
162 5 30 9.2 5.5 15.8 19.1
163 5 31 -0.7 6.8 10.3 12.4
164 5 32 -3.7 6.1 1.0 7.2
165 5 33 8.1 0.6 -2.1 8.4
166 5 34 15.4 -12.4 -34.1 39.5
167 5 35 -7.2 0.6 0.2 7.3
168 5 36 -0.8 7.5 -27.0 28.0
169 5 37 5.4 5.0 -10.1 12.5
170 5 38 2.5 -9.4 -9.7 13.7
171 5 39 -0.2 -1.0 -40.1 40.1
172 5 40 4.1 14.9 -10.0 18.4
173 5 41 8.3 12.0 -16.1 21.7
174 5 42 5.2 1.1 -9.7 11.1
175 5 43 12.0 2.5 -12.9 17.8
176 5 44 1.9 4.9 -9.7 11.0
177 5 45 11.7 1.6 -23.9 26.7
178 5 46 10.8 -27.3 -46.7 55.2
179 5 47 -2.3 -24.1 -28.2 37.1
180 5 48 -6.8 -5.3 -26.9 28.2
181 6 1 -9.8 -34.8 -35.1 50.4
182 6 2 -3.5 -29.1 -52.8 60.4
183 6 3 -24.8 -15.1 -42.1 51.2
184 6 4 -38.1 1.7 -100.7 107.7
185 6 5 -2.1 -7.2 -15.8 17.5
186 6 6 1.1 -7.4 -18.0 19.5
187 6 7 -2.0 -9.2 -15.2 17.8
188 6 8 -8.6 -3.4 -20.9 22.9
189 6 9 -16.2 7.0 -45.6 48.8
190 6 10 -36.9 16.8 -3.5 40.7
191 6 11 -9.6 10.6 -13.8 19.9
192 6 12 4.5 15.7 -6.9 17.8
193 6 13 0.3 9.4 -2.0 9.6
194 6 14 -10.0 11.3 1.4 15.2
195 6 15 -14.6 18.3 4.7 23.9
196 6 16 -3.5 -1.0 -47.9 48.0
197 6 17 -15.6 -7.9 0.3 17.5
198 6 18 2.2 -0.3 12.9 13.1
199 6 19 -3.4 -7.5 8.4 11.8
200 6 20 13.0 -10.0 -6.5 17.6
201 6 21 -47.6 -11.7 -63.9 80.6
202 6 22 -69.9 -26.5 -2.6 74.8
203 6 23 -59.5 -26.2 -1.0 65.1
204 6 24 -71.5 -33.7 0.5 79.1
205 6 25 -73.7 -35.3 -18.2 83.7
206 6 26 -61.2 -28.3 -16.6 69.4
207 6 27 -76.4 -18.4 -7.4 78.9
208 6 28 -61.6 -32.0 -71.2 99.4
209 6 29 -18.4 -0.9 -31.3 36.3
210 6 30 -0.5 -0.8 38.3 38.3
211 6 31 12.7 -0.9 7.3 14.7
212 6 32 2.8 -13.5 6.5 15.2
213 6 33 -39.5 4.2 -84.8 93.6
214 6 34 -125.5 32.0 -25.8 132.0
215 6 35 -0.6 14.5 40.9 43.4
216 6 36 -4.0 25.9 51.7 58.0
217 6 37 -7.3 13.2 40.4 43.1
218 6 38 -7.1 -5.4 6.2 10.9
219 6 39 -36.5 16.9 10.0 41.5
220 6 40 -31.9 9.2 -40.0 52.0
221 6 41 -10.4 14.1 7.1 18.9
222 6 42 2.7 0.8 36.9 37.1
223 6 43 6.2 -1.3 -1.6 6.6
224 6 44 -11.9 0.8 -0.6 12.0
225 6 45 -51.1 13.8 -97.0 110.5
226 6 46 -77.8 -4.2 -20.9 80.7
227 6 47 -35.8 -28.0 -35.0 57.4
228 6 48 -41.5 -36.4 -39.4 67.8
229 7 1 -36.2 -8.7 -26.8 45.9
230 7 2 -41.9 -20.4 -42.3 62.9
231 7 3 -12.4 -13.6 -16.3 24.6
232 7 4 2.2 -69.6 46.8 83.9
233 7 5 7.0 -11.5 30.2 33.1
234 7 6 1.8 35.0 24.1 42.5
235 7 7 -21.5 25.5 33.4 47.2
236 7 8 36.5 -4.3 -43.3 56.8
237 7 9 34.6 -74.3 40.8 91.5
238 7 10 34.9 21.7 25.8 48.5
239 7 11 9.5 18.6 -18.3 27.8
240 7 12 6.0 29.4 17.4 34.7
241 7 13 1.8 33.0 26.4 42.3
242 7 14 7.9 42.8 17.4 46.8
243 7 15 6.5 20.1 14.0 25.3
244 7 16 9.5 -52.9 32.3 62.7
245 7 17 10.9 11.4 16.6 22.9
246 7 18 2.0 21.7 0.5 21.8
247 7 19 3.8 13.6 31.5 34.5
248 7 20 13.6 7.6 31.6 35.2
249 7 21 17.0 -34.9 71.1 81.0
250 7 22 13.9 -4.2 31.4 34.6
251 7 23 10.1 25.4 -23.1 35.8
252 7 24 -2.7 12.7 1.9 13.1
253 7 25 -16.4 21.1 8.7 28.2
254 7 26 -5.9 12.4 -54.4 56.1
255 7 27 -3.5 11.4 -10.5 15.9
256 7 28 22.1 -53.0 228.7 235.8
257 7 29 13.5 -37.6 9.7 41.1
258 7 30 -20.0 -28.7 -16.8 38.8
259 7 31 -6.8 -23.9 -31.7 40.3
260 7 32 36.0 -23.9 -24.7 49.8
261 7 33 -20.2 -49.1 -7.0 53.5
262 7 34 31.9 39.6 -3.5 50.9
263 7 35 38.9 37.0 3.0 53.8
264 7 36 42.5 40.8 33.8 67.9
265 7 37 37.1 41.3 23.3 60.2
266 7 38 24.2 35.1 -22.3 48.1
267 7 39 40.7 33.7 14.1 54.6
268 7 40 37.6 -14.5 29.1 49.7
269 7 41 62.3 20.9 15.6 67.5
270 7 42 25.8 13.3 19.4 34.9
271 7 43 -34.6 14.8 -45.5 59.0
272 7 44 12.2 2.6 -11.6 17.1
273 7 45 8.6 -66.9 16.6 69.5
274 7 46 9.9 5.8 -17.3 20.7
275 7 47 -19.1 5.8 -51.8 55.5
276 7 48 -23.8 121.3 -19.5 125.2
Creating sector-motor-move file
sector motor steps
1 1 14
1 2 -21
1 3 0
1 4 -30
1 5 0
1 6 -11
1 7 -4
1 8 -4
1 9 -3
1 10 -12
1 11 -4
1 12 -7
1 13 -12
1 14 -6
1 15 -12
1 16 -16
1 17 -8
1 18 -1
1 19 -8
1 20 -2
1 21 -11
1 22 -10
1 23 -10
1 24 -2
1 25 2
1 26 0
1 27 0
1 28 -10
1 29 1
1 30 2
1 31 -9
1 32 -4
1 33 -4
1 34 -8
1 35 -4
1 36 1
1 37 -2
1 38 -1
1 39 -3
1 40 -15
1 41 -5
1 42 2
1 43 -2
1 44 -1
1 45 -1
1 46 -1
1 47 -7
1 48 -6
1 49 1
1 50 2
1 51 0
1 52 0
1 53 3
1 54 -2
1 55 0
1 56 4
1 57 3
1 58 -2
1 59 -11
1 60 -1
1 61 1
1 62 3
1 63 2
1 64 -4
1 65 1
1 66 -3
1 67 9
1 68 2
1 69 2
2 1 -13
2 2 -1
2 3 11
2 4 -6
2 5 -1
2 6 -2
2 7 10
2 8 7
2 9 -6
2 10 -4
2 11 -2
2 12 0
2 13 7
2 14 10
2 15 0
2 16 -5
2 17 -2
2 18 0
2 19 9
2 20 -3
2 21 2
2 22 -4
2 23 -2
2 24 0
2 25 -1
2 26 5
2 27 2
2 28 -1
2 29 4
2 30 3
2 31 0
2 32 3
2 33 4
2 34 1
2 35 3
2 36 9
2 37 -3
2 38 2
2 39 3
2 40 -3
2 41 3
2 42 8
2 43 0
2 44 1
2 45 -2
2 46 -5
2 47 1
2 48 6
2 49 0
2 50 2
2 51 -5
2 52 0
2 53 -4
2 54 0
2 55 7
2 56 2
2 57 -5
2 58 0
2 59 -7
2 60 2
2 61 8
2 62 7
2 63 -1
2 64 0
2 65 3
2 66 -5
2 67 0
2 68 3
2 69 -1
3 1 5
3 2 9
3 3 1
3 4 -2
3 5 4
3 6 1
3 7 -5
3 8 5
3 9 2
3 10 -4
3 11 3
3 12 -2
3 13 7
3 14 6
3 15 10
3 16 -1
3 17 5
3 18 -11
3 19 12
3 20 -22
3 21 10
3 22 -13
3 23 2
3 24 -4
3 25 3
3 26 5
3 27 -4
3 28 1
3 29 -1
3 30 -8
3 31 3
3 32 -1
3 33 0
3 34 -12
3 35 3
3 36 -1
3 37 -9
3 38 -5
3 39 -2
3 40 -5
3 41 3
3 42 0
3 43 1
3 44 2
3 45 1
3 46 -2
3 47 1
3 48 2
3 49 3
3 50 6
3 51 7
3 52 9
3 53 8
3 54 -2
3 55 0
3 56 4
3 57 -1
3 58 1
3 59 0
3 60 -6
3 61 1
3 62 2
3 63 2
3 64 4
3 65 1
3 66 2
3 67 2
3 68 9
3 69 3
4 1 9
4 2 -16
4 3 2
4 4 -14
4 5 0
4 6 -1
4 7 4
4 8 6
4 9 1
4 10 1
4 11 5
4 12 -4
4 13 5
4 14 13
4 15 2
4 16 0
4 17 3
4 18 -3
4 19 8
4 20 10
4 21 0
4 22 0
4 23 2
4 24 0
4 25 4
4 26 6
4 27 6
4 28 6
4 29 7
4 30 1
4 31 -4
4 32 0
4 33 4
4 34 6
4 35 3
4 36 4
4 37 2
4 38 3
4 39 -2
4 40 -8
4 41 0
4 42 6
4 43 2
4 44 3
4 45 0
4 46 6
4 47 3
4 48 6
4 49 7
4 50 3
4 51 -1
4 52 2
4 53 6
4 54 1
4 55 18
4 56 4
4 57 7
4 58 -2
4 59 -3
4 60 -9
4 61 12
4 62 7
4 63 1
4 64 0
4 65 -3
4 66 4
4 67 7
4 68 5
4 69 2
5 1 9
5 2 2
5 3 4
5 4 -1
5 5 -3
5 6 3
5 7 9
5 8 4
5 9 1
5 10 2
5 11 -2
5 12 -1
5 13 0
5 14 6
5 15 0
5 16 3
5 17 0
5 18 0
5 19 5
5 20 3
5 21 3
5 22 0
5 23 -2
5 24 -4
5 25 0
5 26 3
5 27 -1
5 28 -3
5 29 0
5 30 2
5 31 3
5 32 -1
5 33 -3
5 34 -5
5 35 1
5 36 4
5 37 65
5 38 -1
5 39 0
5 40 8
5 41 2
5 42 13
5 43 -3
5 44 4
5 45 3
5 46 6
5 47 9
5 48 6
5 49 4
5 50 6
5 51 5
5 52 0
5 53 0
5 54 0
5 55 9
5 56 6
5 57 3
5 58 2
5 59 -13
5 60 12
5 61 7
5 62 7
5 63 3
5 64 0
5 65 3
5 66 -1
5 67 3
5 68 5
5 69 5
6 1 0
6 2 3
6 3 0
6 4 0
6 5 -10
6 6 -21
6 7 -7
6 8 7
6 9 3
6 10 0
6 11 -8
6 12 -18
6 13 9
6 14 -1
6 15 4
6 16 0
6 17 -8
6 18 -21
6 19 21
6 20 -10
6 21 5
6 22 -19
6 23 -3
6 24 -14
6 25 -14
6 26 -6
6 27 0
6 28 1
6 29 -3
6 30 -5
6 31 -10
6 32 -3
6 33 -4
6 34 -7
6 35 -3
6 36 -8
6 37 -10
6 38 -6
6 39 1
6 40 1
6 41 0
6 42 -8
6 43 -1
6 44 2
6 45 2
6 46 -1
6 47 -2
6 48 -2
6 49 -3
6 50 0
6 51 1
6 52 -3
6 53 0
6 54 -7
6 55 1
6 56 0
6 57 0
6 58 0
6 59 -11
6 60 -3
6 61 3
6 62 2
6 63 4
6 64 -2
6 65 -6
6 66 0
6 67 -7
6 68 -3
6 69 -5
7 1 70
7 2 -16
7 3 6
7 4 -21
7 5 -9
7 6 -18
7 7 -3
7 8 3
7 9 -1
7 10 -2
7 11 -5
7 12 -23
7 13 -16
7 14 3
7 15 -1
7 16 -5
7 17 -8
7 18 -18
7 19 2
7 20 6
7 21 -5
7 22 -5
7 23 -10
7 24 -22
7 25 -6
7 26 2
7 27 6
7 28 1
7 29 -2
7 30 -4
7 31 -12
7 32 -9
7 33 3
7 34 1
7 35 -2
7 36 -5
7 37 -11
7 38 -2
7 39 -1
7 40 -9
7 41 -4
7 42 -7
7 43 -16
7 44 -6
7 45 0
7 46 10
7 47 -3
7 48 -10
7 49 1
7 50 0
7 51 0
7 52 0
7 53 -6
7 54 -7
7 55 -2
7 56 0
7 57 -3
7 58 -3
7 59 -11
7 60 7
7 61 -6
7 62 -4
7 63 -2
7 64 0
7 65 -8
7 66 -4
7 67 0
7 68 4
7 69 9
8 1 -7
8 2 -7
8 3 11
8 4 1
8 5 -4
8 6 0
8 7 -9
8 8 -7
8 9 -2
8 10 2
8 11 0
8 12 3
8 13 -5
8 14 -8
8 15 -6
8 16 11
8 17 0
8 18 0
8 19 2
8 20 -11
8 21 4
8 22 -9
8 23 0
8 24 -5
8 25 0
8 26 1
8 27 -1
8 28 1
8 29 6
8 30 2
8 31 3
8 32 2
8 33 0
8 34 2
8 35 -2
8 36 3
8 37 4
8 38 1
8 39 2
8 40 2
8 41 -1
8 42 -3
8 43 0
8 44 3
8 45 5
8 46 -11
8 47 1
8 48 -7
8 49 7
8 50 5
8 51 0
8 52 -1
8 53 -3
8 54 4
8 55 0
8 56 0
8 57 1
8 58 8
8 59 -13
8 60 12
8 61 1
8 62 5
8 63 9
8 64 -1
8 65 -2
8 66 -3
8 67 4
8 68 7
8 69 3
9 1 10
9 2 12
9 3 13
9 4 15
9 5 7
9 6 -1
9 7 0
9 8 11
9 9 11
9 10 12
9 11 4
9 12 0
9 13 -1
9 14 12
9 15 9
9 16 -7
9 17 9
9 18 -38
9 19 -2
9 20 -15
9 21 -6
9 22 -26
9 23 1
9 24 -12
9 25 -8
9 26 2
9 27 0
9 28 -3
9 29 0
9 30 -4
9 31 0
9 32 0
9 33 -2
9 34 -14
9 35 1
9 36 -8
9 37 -10
9 38 -3
9 39 4
9 40 4
9 41 3
9 42 5
9 43 0
9 44 0
9 45 2
9 46 5
9 47 4
9 48 3
9 49 1
9 50 5
9 51 15
9 52 3
9 53 3
9 54 1
9 55 4
9 56 2
9 57 3
9 58 -1
9 59 -31
9 60 3
9 61 7
9 62 7
9 63 4
9 64 0
9 65 2
9 66 0
9 67 2
9 68 7
9 69 8
10 1 8
10 2 -4
10 3 11
10 4 -12
10 5 2
10 6 -9
10 7 4
10 8 10
10 9 12
10 10 3
10 11 5
10 12 -11
10 13 -6
10 14 10
10 15 7
10 16 1
10 17 -1
10 18 -2
10 19 7
10 20 12
10 21 11
10 22 12
10 23 4
10 24 -2
10 25 -3
10 26 4
10 27 1
10 28 -1
10 29 2
10 30 -2
10 31 -12
10 32 0
10 33 0
10 34 -1
10 35 2
10 36 1
10 37 -2
10 38 -2
10 39 0
10 40 -6
10 41 -1
10 42 2
10 43 -3
10 44 1
10 45 1
10 46 0
10 47 2
10 48 6
10 49 -1
10 50 3
10 51 1
10 52 -4
10 53 -4
10 54 3
10 55 1
10 56 3
10 57 6
10 58 2
10 59 -9
10 60 7
10 61 -3
10 62 6
10 63 8
10 64 -1
10 65 0
10 66 1
10 67 1
10 68 1
10 69 7
11 1 -3
11 2 0
11 3 3
11 4 0
11 5 0
11 6 -3
11 7 -13
11 8 4
11 9 -10
11 10 0
11 11 0
11 12 1
11 13 5
11 14 4
11 15 7
11 16 11
11 17 0
11 18 0
11 19 4
11 20 6
11 21 19
11 22 2
11 23 4
11 24 -3
11 25 -2
11 26 1
11 27 0
11 28 -1
11 29 3
11 30 1
11 31 -3
11 32 0
11 33 3
11 34 0
11 35 1
11 36 4
11 37 -2
11 38 0
11 39 1
11 40 2
11 41 1
11 42 11
11 43 -4
11 44 3
11 45 2
11 46 5
11 47 6
11 48 2
11 49 2
11 50 5
11 51 -1
11 52 -4
11 53 -6
11 54 2
11 55 2
11 56 5
11 57 -2
11 58 0
11 59 -2
11 60 0
11 61 2
11 62 2
11 63 1
11 64 -3
11 65 0
11 66 -6
11 67 2
11 68 5
11 69 6
12 1 -5
12 2 37
12 3 -7
12 4 -12
12 5 -11
12 6 -12
12 7 -15
12 8 1
12 9 -5
12 10 -10
12 11 -8
12 12 -10
12 13 -5
12 14 1
12 15 3
12 16 -6
12 17 -1
12 18 -23
12 19 5
12 20 -20
12 21 2
12 22 -29
12 23 4
12 24 -15
12 25 -8
12 26 -1
12 27 -2
12 28 -5
12 29 -6
12 30 -4
12 31 -8
12 32 -7
12 33 0
12 34 -14
12 35 -5
12 36 -4
12 37 -14
12 38 -8
12 39 3
12 40 -7
12 41 -4
12 42 0
12 43 -7
12 44 0
12 45 3
12 46 -4
12 47 1
12 48 0
12 49 -1
12 50 2
12 51 5
12 52 -2
12 53 -2
12 54 -1
12 55 1
12 56 2
12 57 2
12 58 -2
12 59 -9
12 60 0
12 61 2
12 62 2
12 63 7
12 64 -4
12 65 0
12 66 0
12 67 -4
12 68 3
12 69 0
Adjuster movements: rms = 25.5 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20040809-144721
Creating HTML output file of plots
Plotting summary text