![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20050213-214437.fits
Reduced on 20050223-112020 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 | rxh3-20050213-214437.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 1.2 |
| data.pointing_offset_y | 9.9 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 3.1 |
| 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 | 0.034100000000000005 |
| 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: 20050223-112020
Reading data from rxh3-20050213-214437.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 = 2402.3 max = 2421.6 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 34.100 mm
----------------- Data Summary ---------------------
Number of samples: 1466025
This is a 160 GHz map
Number of frequencies: 16
Frequencies (GHz):
160.676000 160.680000 160.684000 160.688000 160.692000 160.696000
160.700000 160.704000 160.708000 160.712000 160.716000 160.720000
160.724000 160.728000 160.732000 160.736000
item min max mean
loreal -3.02734 2.91016 -0.00080
loimag -3.26416 3.00049 -0.00851
hireal -5.00000 4.99756 0.01002
hiimag -5.00000 4.99756 0.02540
xpos -2421.55433 2410.74594 -10.78326
ypos -2402.46804 2402.33885 0.00136
plock160 0.93262 2.26562 1.65673
lorefpwr 1.53076 3.01758 2.53996
losigpwr -4.59961 -0.28076 -4.48161
hirefpwr 1.57227 3.00537 2.55670
hisigpwr -4.51416 4.99756 -1.46078
encltemp 31.66504 32.98340 32.18816
flags 0.00000 256.00000 2.44471
phi-lock -1.19385 0.10986 -0.58348
sindex 0.00000 254.00000 126.60925
time 0.00000 5877.01784 2937.61926
zeropt -0.00732 -0.00244 -0.00489
!!!Warning!!! philock max less than 0.2
----------------------------------------------------
Subtracting zeropt channel
Data contains a total of 255 rows
There are 241 data rows and 14 calibrator rows
Calibrator rows: 0 21 42 63 84 105 126 147 168 189 210 231 252 254
Checking pointing along rasters...
This map is more horizontally scanned than vertically
Mean row spacing = 20.00295 arcsec
Mean row spacing = 20.00296 arcsec (alternate estimator)
Mean tracking incline = -0.17305 arcsec
Mean pointing range = 0.61955 arcsec
Mean pointing rms = 0.11994 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (1.2, 9.9 ) arcsec
Applying pointing lags: (0, 0 ) arcsec
Deciphering frequencies...
Selecting hi/lo channels using method 2
Inverting the phase on this 160 GHz map
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 14000
Extracting frequencies
Selecting all rows from the map (row = -1)
Extracted frequency 0: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 90361 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 90361 data points
No calibration requested...
Creating template maps for gridding
Using a grid cellsize of 20.0 arcseconds
Using a grid of 256 points
Grid has even number of points
Maximum data offset = 2421.55 arcsec
Grid extent = 2550 arcsec
lambda_min = 0.00186512
scale = 0.00259937
Diffraction scale lambda/D = 25.6569 arcsec
Gridding function extent = 153.941 arcsec
Using Gaussian * Airy regridding function
Gaussian FWHM = 76.9706 arcsec
Airy first null at 31.2929 arcsec
Gridding frequency index 0
lambda = 0.00186582 metres, scale = 0.0025984 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 = 2.87489 at (0.0, 0.0) arcsec
Real: mean = 0.000540684 sum of squares = 2063.12
Imag: mean = 0.000145425 sum of squares = 2247.03
Gridding frequency index 1
lambda = 0.00186577 metres, scale = 0.00259846 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 = 2.839 at (0.0, 0.0) arcsec
Real: mean = 0.000404365 sum of squares = 2150.51
Imag: mean = 0.00024793 sum of squares = 2159.62
Gridding frequency index 2
lambda = 0.00186573 metres, scale = 0.00259852 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 = 2.83524 at (0.0, 0.0) arcsec
Real: mean = 0.000237598 sum of squares = 2245.87
Imag: mean = 0.000155451 sum of squares = 2074.15
Gridding frequency index 3
lambda = 0.00186568 metres, scale = 0.00259859 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 = 2.85106 at (0.0, 0.0) arcsec
Real: mean = 0.000346933 sum of squares = 2141.87
Imag: mean = 7.02927e-05 sum of squares = 2190.26
Gridding frequency index 4
lambda = 0.00186563 metres, scale = 0.00259865 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 = 2.88401 at (0.0, 0.0) arcsec
Real: mean = 0.000218095 sum of squares = 2084.86
Imag: mean = 4.97557e-05 sum of squares = 2262.12
Gridding frequency index 5
lambda = 0.00186559 metres, scale = 0.00259872 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 = 2.91875 at (0.0, 0.0) arcsec
Real: mean = 0.000384773 sum of squares = 2233.08
Imag: mean = -0.000145704 sum of squares = 2128.63
Gridding frequency index 6
lambda = 0.00186554 metres, scale = 0.00259878 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 = 2.93203 at (0.0, 0.0) arcsec
Real: mean = 0.000531655 sum of squares = 2254.01
Imag: mean = 5.87298e-05 sum of squares = 2127.24
Gridding frequency index 7
lambda = 0.00186549 metres, scale = 0.00259885 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 = 2.91268 at (0.0, 0.0) arcsec
Real: mean = 0.000446409 sum of squares = 2128.82
Imag: mean = 9.25385e-05 sum of squares = 2281.13
Gridding frequency index 8
lambda = 0.00186545 metres, scale = 0.00259891 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 = 2.88007 at (0.0, 0.0) arcsec
Real: mean = 0.000502868 sum of squares = 2173.03
Imag: mean = 0.000157306 sum of squares = 2263.98
Gridding frequency index 9
lambda = 0.0018654 metres, scale = 0.00259898 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 = 2.88102 at (0.0, 0.0) arcsec
Real: mean = 0.000371871 sum of squares = 2316.97
Imag: mean = 0.00026309 sum of squares = 2147.83
Gridding frequency index 10
lambda = 0.00186536 metres, scale = 0.00259904 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 = 2.90252 at (0.0, 0.0) arcsec
Real: mean = 0.000231707 sum of squares = 2263.24
Imag: mean = 0.000149477 sum of squares = 2227.88
Gridding frequency index 11
lambda = 0.00186531 metres, scale = 0.00259911 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 = 2.92962 at (0.0, 0.0) arcsec
Real: mean = 0.000253022 sum of squares = 2160.65
Imag: mean = -2.03871e-06 sum of squares = 2360.43
Gridding frequency index 12
lambda = 0.00186526 metres, scale = 0.00259917 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 = 2.95873 at (0.0, 0.0) arcsec
Real: mean = 0.000401746 sum of squares = 2288.89
Imag: mean = -5.07196e-05 sum of squares = 2265.06
Gridding frequency index 13
lambda = 0.00186522 metres, scale = 0.00259924 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 = 2.97007 at (0.0, 0.0) arcsec
Real: mean = 0.000432514 sum of squares = 2383.37
Imag: mean = -2.00524e-05 sum of squares = 2207
Gridding frequency index 14
lambda = 0.00186517 metres, scale = 0.0025993 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 = 2.94983 at (0.0, 0.0) arcsec
Real: mean = 0.000578925 sum of squares = 2268.84
Imag: mean = -3.07219e-05 sum of squares = 2356.12
Gridding frequency index 15
lambda = 0.00186512 metres, scale = 0.00259937 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 = 2.91532 at (0.0, 0.0) arcsec
Real: mean = 0.000608118 sum of squares = 2245.74
Imag: mean = 0.000241764 sum of squares = 2410.3
Masking frequency index 0
Mask scale size = 6.11738
Masking frequency index 1
Mask scale size = 6.11753
Masking frequency index 2
Mask scale size = 6.11769
Masking frequency index 3
Mask scale size = 6.11784
Masking frequency index 4
Mask scale size = 6.11799
Masking frequency index 5
Mask scale size = 6.11814
Masking frequency index 6
Mask scale size = 6.11829
Masking frequency index 7
Mask scale size = 6.11845
Masking frequency index 8
Mask scale size = 6.1186
Masking frequency index 9
Mask scale size = 6.11875
Masking frequency index 10
Mask scale size = 6.1189
Masking frequency index 11
Mask scale size = 6.11906
Masking frequency index 12
Mask scale size = 6.11921
Masking frequency index 13
Mask scale size = 6.11936
Masking frequency index 14
Mask scale size = 6.11951
Masking frequency index 15
Mask scale size = 6.11967
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.249023
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.234375
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.222168
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.212402
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.236816
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.229492
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.209961
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.205078
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.20752
Median point-to-point PLL voltage change: 0.00976562
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = -1.0484 134.33
Freq 1: Shift, scale = -1.9191 133.85
Freq 2: Shift, scale = -2.7857 132.64
Freq 3: Shift, scale = 2.6385 133.04
Freq 4: Shift, scale = 1.7755 133.26
Freq 5: Shift, scale = 0.91438 133.94
Freq 6: Shift, scale = 0.047707 134.77
Freq 7: Shift, scale = -0.82353 134.57
Freq 8: Shift, scale = -1.6848 133.82
Freq 9: Shift, scale = -2.5424 134.86
Freq 10: Shift, scale = 2.8774 135.44
Freq 11: Shift, scale = 2.018 135.85
Freq 12: Shift, scale = 1.1536 136.82
Freq 13: Shift, scale = 0.28714 136.98
Freq 14: Shift, scale = -0.57371 137.68
Freq 15: Shift, scale = -1.4395 138
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: -0.12 radians
x offset: -0.0468 arcsec
y offset: 0.0206 arcsec
defocus: -0.00055 mm
Estimated x pointing error is 1.153 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.921 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.099 mm (used 3.1 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.127 radians
x offset: -0.0555 arcsec
y offset: 0.0476 arcsec
defocus: 2.77e-05 mm
Estimated x pointing error is 1.144 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.948 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.1 mm (used 3.1 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.127 radians
x offset: -0.0554 arcsec
y offset: 0.0573 arcsec
defocus: 0.00189 mm
Estimated x pointing error is 1.145 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.957 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.102 mm (used 3.1 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.122 radians
x offset: -0.0513 arcsec
y offset: 0.0491 arcsec
defocus: 0.00148 mm
Estimated x pointing error is 1.149 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.949 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.101 mm (used 3.1 mm)
Fitting frequency 4
Minimiser fit code = 1
piston: -0.121 radians
x offset: -0.051 arcsec
y offset: 0.0315 arcsec
defocus: 0.000154 mm
Estimated x pointing error is 1.149 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.932 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.1 mm (used 3.1 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.118 radians
x offset: -0.0564 arcsec
y offset: 0.0282 arcsec
defocus: -0.00108 mm
Estimated x pointing error is 1.144 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.928 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.099 mm (used 3.1 mm)
Fitting frequency 6
Minimiser fit code = 1
piston: -0.121 radians
x offset: -0.0658 arcsec
y offset: 0.0546 arcsec
defocus: -0.000606 mm
Estimated x pointing error is 1.134 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.955 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.099 mm (used 3.1 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.128 radians
x offset: -0.0746 arcsec
y offset: 0.0746 arcsec
defocus: 0.000717 mm
Estimated x pointing error is 1.125 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.975 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.101 mm (used 3.1 mm)
Fitting frequency 8
Minimiser fit code = 1
piston: -0.125 radians
x offset: -0.0785 arcsec
y offset: 0.065 arcsec
defocus: 0.000904 mm
Estimated x pointing error is 1.121 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.965 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.101 mm (used 3.1 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.122 radians
x offset: -0.0864 arcsec
y offset: 0.035 arcsec
defocus: -0.00122 mm
Estimated x pointing error is 1.114 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.935 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.099 mm (used 3.1 mm)
Fitting frequency 10
Minimiser fit code = 1
piston: -0.124 radians
x offset: -0.0959 arcsec
y offset: 0.0248 arcsec
defocus: -0.00337 mm
Estimated x pointing error is 1.104 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.925 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.097 mm (used 3.1 mm)
Fitting frequency 11
Minimiser fit code = 1
piston: -0.12 radians
x offset: -0.0944 arcsec
y offset: 0.0305 arcsec
defocus: -0.00265 mm
Estimated x pointing error is 1.106 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.93 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.097 mm (used 3.1 mm)
Fitting frequency 12
Minimiser fit code = 1
piston: -0.119 radians
x offset: -0.113 arcsec
y offset: 0.0543 arcsec
defocus: -0.000413 mm
Estimated x pointing error is 1.087 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.954 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.1 mm (used 3.1 mm)
Fitting frequency 13
Minimiser fit code = 1
piston: -0.124 radians
x offset: -0.12 arcsec
y offset: 0.0393 arcsec
defocus: -0.00126 mm
Estimated x pointing error is 1.08 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.939 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.099 mm (used 3.1 mm)
Fitting frequency 14
Minimiser fit code = 1
piston: -0.123 radians
x offset: -0.119 arcsec
y offset: 0.00869 arcsec
defocus: -0.00382 mm
Estimated x pointing error is 1.081 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.909 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.096 mm (used 3.1 mm)
Fitting frequency 15
Minimiser fit code = 1
piston: -0.124 radians
x offset: -0.127 arcsec
y offset: -0.0112 arcsec
defocus: -0.00381 mm
Estimated x pointing error is 1.073 arcsec (used 1.2 arcsec)
Estimated y pointing error is 9.889 arcsec (used 9.9 arcsec)
Estimated defocus error is 3.096 mm (used 3.1 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 -0.00047 piston
1 1 0.00836 tilt_x
1 -1 0.01196 tilt_y
2 2 0.00988 astigmatism_0
2 0 0.00153 curvature
2 -2 -0.09201 astigmatism45
3 3 0.04675 trefoil_0
3 1 0.00509 coma_x
3 -1 0.03803 coma_y
3 -3 0.02654 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 -0.00033 piston
1 1 0.00826 tilt_x
1 -1 0.01256 tilt_y
2 2 0.01493 astigmatism_0
2 0 0.00175 curvature
2 -2 -0.09158 astigmatism45
3 3 0.04516 trefoil_0
3 1 0.00590 coma_x
3 -1 0.03968 coma_y
3 -3 0.01995 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 -0.00023 piston
1 1 0.00859 tilt_x
1 -1 0.01376 tilt_y
2 2 0.01904 astigmatism_0
2 0 0.00175 curvature
2 -2 -0.09119 astigmatism45
3 3 0.04257 trefoil_0
3 1 0.00734 coma_x
3 -1 0.04384 coma_y
3 -3 0.01603 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 -0.00020 piston
1 1 0.00849 tilt_x
1 -1 0.01345 tilt_y
2 2 0.01750 astigmatism_0
2 0 0.00183 curvature
2 -2 -0.09199 astigmatism45
3 3 0.04259 trefoil_0
3 1 0.00702 coma_x
3 -1 0.04355 coma_y
3 -3 0.01801 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 -0.00026 piston
1 1 0.00805 tilt_x
1 -1 0.01210 tilt_y
2 2 0.01191 astigmatism_0
2 0 0.00195 curvature
2 -2 -0.09103 astigmatism45
3 3 0.04429 trefoil_0
3 1 0.00526 coma_x
3 -1 0.03919 coma_y
3 -3 0.02287 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 -0.00036 piston
1 1 0.00786 tilt_x
1 -1 0.01145 tilt_y
2 2 0.01024 astigmatism_0
2 0 0.00191 curvature
2 -2 -0.09035 astigmatism45
3 3 0.04443 trefoil_0
3 1 0.00483 coma_x
3 -1 0.03676 coma_y
3 -3 0.02286 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 -0.00035 piston
1 1 0.00774 tilt_x
1 -1 0.01226 tilt_y
2 2 0.01446 astigmatism_0
2 0 0.00179 curvature
2 -2 -0.09072 astigmatism45
3 3 0.04330 trefoil_0
3 1 0.00476 coma_x
3 -1 0.03915 coma_y
3 -3 0.01721 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 -0.00023 piston
1 1 0.00795 tilt_x
1 -1 0.01339 tilt_y
2 2 0.01887 astigmatism_0
2 0 0.00188 curvature
2 -2 -0.09043 astigmatism45
3 3 0.04223 trefoil_0
3 1 0.00577 coma_x
3 -1 0.04292 coma_y
3 -3 0.01392 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 -0.00024 piston
1 1 0.00887 tilt_x
1 -1 0.01359 tilt_y
2 2 0.01588 astigmatism_0
2 0 0.00186 curvature
2 -2 -0.09078 astigmatism45
3 3 0.04301 trefoil_0
3 1 0.00862 coma_x
3 -1 0.04418 coma_y
3 -3 0.01641 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 -0.00033 piston
1 1 0.00923 tilt_x
1 -1 0.01257 tilt_y
2 2 0.01037 astigmatism_0
2 0 0.00188 curvature
2 -2 -0.08986 astigmatism45
3 3 0.04476 trefoil_0
3 1 0.00972 coma_x
3 -1 0.04125 coma_y
3 -3 0.02015 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 -0.00041 piston
1 1 0.00884 tilt_x
1 -1 0.01131 tilt_y
2 2 0.00775 astigmatism_0
2 0 0.00190 curvature
2 -2 -0.08867 astigmatism45
3 3 0.04548 trefoil_0
3 1 0.00866 coma_x
3 -1 0.03710 coma_y
3 -3 0.02086 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 -0.00042 piston
1 1 0.00893 tilt_x
1 -1 0.01200 tilt_y
2 2 0.01218 astigmatism_0
2 0 0.00174 curvature
2 -2 -0.08968 astigmatism45
3 3 0.04471 trefoil_0
3 1 0.00922 coma_x
3 -1 0.03912 coma_y
3 -3 0.01505 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 -0.00034 piston
1 1 0.00863 tilt_x
1 -1 0.01239 tilt_y
2 2 0.01714 astigmatism_0
2 0 0.00175 curvature
2 -2 -0.09106 astigmatism45
3 3 0.04335 trefoil_0
3 1 0.00860 coma_x
3 -1 0.04046 coma_y
3 -3 0.01070 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 -0.00041 piston
1 1 0.00952 tilt_x
1 -1 0.01211 tilt_y
2 2 0.01449 astigmatism_0
2 0 0.00163 curvature
2 -2 -0.09192 astigmatism45
3 3 0.04485 trefoil_0
3 1 0.01069 coma_x
3 -1 0.04021 coma_y
3 -3 0.01351 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 -0.00054 piston
1 1 0.01002 tilt_x
1 -1 0.01127 tilt_y
2 2 0.00910 astigmatism_0
2 0 0.00149 curvature
2 -2 -0.09216 astigmatism45
3 3 0.04656 trefoil_0
3 1 0.01154 coma_x
3 -1 0.03721 coma_y
3 -3 0.02015 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 -0.00050 piston
1 1 0.00932 tilt_x
1 -1 0.01129 tilt_y
2 2 0.00798 astigmatism_0
2 0 0.00171 curvature
2 -2 -0.09088 astigmatism45
3 3 0.04746 trefoil_0
3 1 0.00962 coma_x
3 -1 0.03732 coma_y
3 -3 0.02114 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: 23.6 23.2 19.7 23.2 23.3 25.4 32 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.2 22.9 19.6 23 23.3 24.2 30.2 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.2 2.2 3.11 4.05 5.32 7.26 10.1 6.63
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 23.2 20 23.4 23.1 25.2 31.9 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.1 22.9 19.9 23.2 23.1 24.1 30.2 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.25 2.29 3.2 4.1 5.3 7.17 10 6.58
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 23.6 20.4 23.7 23.2 25.1 31.7 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.3 23.3 20.3 23.5 23.2 24 30 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.38 2.5 3.43 4.26 5.33 7.12 9.99 6.6
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 23.5 20.8 23.9 23.3 25.1 31.7 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 23.2 20.7 23.8 23.3 24 30 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.37 2.48 3.42 4.26 5.36 7.16 10 6.63
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 23.4 20.2 24.6 23.3 24.9 31.8 26.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 23.1 20.1 24.5 23.3 23.8 30.2 25.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.23 2.25 3.16 4.06 5.26 7.12 9.94 6.52
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 23.3 19.6 24.1 23.2 25.2 31.7 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 23 19.5 24 23.2 24.1 30.2 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.16 2.13 3.02 3.95 5.19 7.06 9.83 6.44
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 23.6 20.1 23.9 23.1 25.3 31.8 26.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 23.3 20 23.7 23.1 24.2 30.3 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.23 2.25 3.15 4.04 5.22 7.05 9.82 6.46
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 23.8 20.5 23.7 23.2 25.2 31.8 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 23.5 20.3 23.6 23.2 24.1 30.2 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.35 2.44 3.36 4.19 5.27 7.04 9.87 6.51
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 23.6 21 23.7 23.4 25.1 31.8 26.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 23.3 20.8 23.5 23.5 24 30.1 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.4 2.52 3.45 4.26 5.3 7.06 9.94 6.56
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.2 23.7 20.8 23.7 23.3 24.9 31.8 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.7 23.3 20.6 23.6 23.4 23.8 30.1 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.32 2.39 3.29 4.13 5.22 7.02 9.86 6.49
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.3 23.5 19.9 23.6 23.1 24.7 31.7 26.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 23.2 19.8 23.5 23.1 23.8 30.1 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.19 2.17 3.05 3.94 5.11 6.94 9.7 6.36
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.3 23.5 20.4 24.3 22.9 24.9 31.8 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.8 23.2 20.2 24.2 23 23.9 30.2 25.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.25 2.28 3.18 4.04 5.18 6.97 9.75 6.41
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.4 23.8 20.7 24.4 22.9 25.1 31.7 26.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 23.5 20.5 24.3 23 24 30.2 25.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.29 2.34 3.26 4.13 5.26 7.06 9.86 6.5
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24.1 23.6 20.7 23.8 23.2 25 31.7 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.6 23.3 20.5 23.6 23.2 24 30.1 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.29 2.36 3.28 4.16 5.31 7.13 9.97 6.57
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.9 23.3 20.7 23.7 23.2 25.1 31.8 26.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.4 23 20.5 23.6 23.2 24 30 25.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.21 2.23 3.14 4.07 5.3 7.19 10 6.58
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 24 23.3 19.7 22.9 23.1 25.1 31.7 26.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 23.5 22.9 19.5 22.8 23.1 24.1 30 25.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 1.2 2.2 3.1 4.02 5.24 7.13 9.96 6.52
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 23 22.7 19.4 22.8 22.4 24.3 30.9 25.6
Mean deviation is 0.30227266183608192 microns
Taper = 10 dB, Ruze illumination-weighted rms = 25.1 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 22.7 micron
Centre pixel: 128.0 128.0 Value = 12951 (estimate), 15687.6 (perfect)
Strehl = 0.681538
Strehl ratio estimate = 0.6815
Estimating beam: f = 900GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 900 GHz Ruze rms = 22.1 micron
Centre pixel: 128.0 128.0 Value = 11074.4 (estimate), 15687.6 (perfect)
Strehl = 0.498345
Strehl ratio estimate = 0.4983
Fitting panels...
No Zernike terms to subtract before panel fitting
edge scale = 0.07514 metres
panel scale = 3.00000 metres
mean frequency = 160.70600 GHz
min edge weight = 0.1
# rng pan adj1 adj2 adj3 qsum
1 1 1 -8.3 8.6 10.3 15.8
2 1 2 -16.4 16.7 3.6 23.7
3 1 3 -29.4 13.3 -11.3 34.2
4 1 4 -32.2 3.7 4.4 32.7
5 1 5 -22.6 -1.2 -16.3 27.9
6 1 6 -47.5 -11.3 -18.5 52.2
7 1 7 -22.0 -25.0 -11.4 35.3
8 1 8 -23.3 -5.4 4.4 24.3
9 1 9 -54.8 1.5 18.8 57.9
10 1 10 -16.5 2.6 16.3 23.3
11 1 11 -16.0 1.5 9.0 18.4
12 1 12 9.1 10.7 5.5 15.1
13 2 1 2.9 12.8 12.8 18.3
14 2 2 5.4 17.2 13.3 22.4
15 2 3 7.3 15.0 23.7 29.0
16 2 4 0.4 19.1 16.0 25.0
17 2 5 -14.2 13.9 4.7 20.4
18 2 6 -7.5 16.1 10.0 20.4
19 2 7 5.9 15.8 16.0 23.3
20 2 8 21.8 24.1 16.0 36.2
21 2 9 -19.4 11.6 7.9 23.9
22 2 10 -11.8 8.9 -0.7 14.8
23 2 11 -8.3 9.4 5.3 13.6
24 2 12 -9.2 11.8 7.7 16.8
25 2 13 -15.3 -16.1 -4.9 22.8
26 2 14 -3.5 7.5 1.7 8.4
27 2 15 -16.4 8.2 18.9 26.3
28 2 16 -1.6 6.7 15.1 16.6
29 2 17 2.9 13.5 22.3 26.3
30 2 18 4.6 15.2 37.5 40.7
31 2 19 15.3 17.3 32.6 40.0
32 2 20 8.1 20.0 19.3 29.0
33 2 21 3.4 13.7 15.2 20.8
34 2 22 16.2 29.6 27.6 43.6
35 2 23 12.6 15.4 13.9 24.3
36 2 24 4.5 -2.2 15.2 16.0
37 3 1 12.2 3.4 23.5 26.7
38 3 2 9.5 8.2 21.8 25.2
39 3 3 5.4 10.3 23.0 25.8
40 3 4 3.0 7.6 7.7 11.2
41 3 5 10.9 5.4 20.8 24.1
42 3 6 12.7 7.2 9.2 17.3
43 3 7 8.7 7.1 10.0 15.1
44 3 8 7.3 4.4 8.1 11.7
45 3 9 5.9 10.8 19.2 22.8
46 3 10 0.7 7.0 14.3 16.0
47 3 11 9.1 7.2 6.9 13.5
48 3 12 13.9 8.9 3.4 16.8
49 3 13 16.8 11.2 7.8 21.6
50 3 14 4.4 4.6 1.5 6.5
51 3 15 1.6 5.4 -1.6 5.8
52 3 16 0.3 9.6 9.3 13.4
53 3 17 -1.9 8.2 5.4 10.0
54 3 18 3.9 1.4 2.3 4.8
55 3 19 -4.2 5.3 12.6 14.3
56 3 20 9.0 2.0 4.3 10.1
57 3 21 3.4 6.2 7.9 10.6
58 3 22 -2.8 -2.8 -3.1 5.1
59 3 23 5.9 0.5 -4.2 7.3
60 3 24 -7.9 -5.8 2.9 10.2
61 3 25 -2.0 -6.7 -3.4 7.8
62 3 26 -8.2 -3.2 -12.0 14.9
63 3 27 9.7 1.4 8.7 13.1
64 3 28 -2.2 2.8 11.8 12.3
65 3 29 8.7 6.3 2.8 11.1
66 3 30 -0.5 -15.7 -2.8 16.0
67 3 31 20.1 3.7 5.1 21.1
68 3 32 18.5 19.2 13.3 29.7
69 3 33 17.5 15.5 10.4 25.6
70 3 34 -0.9 9.8 2.5 10.2
71 3 35 27.7 6.7 21.2 35.5
72 3 36 5.5 21.5 10.6 24.6
73 3 37 36.5 23.5 37.1 57.1
74 3 38 18.2 2.4 12.1 22.0
75 3 39 12.1 10.1 20.1 25.5
76 3 40 17.2 0.2 17.4 24.5
77 3 41 11.0 0.1 -3.3 11.5
78 3 42 -2.5 3.0 -4.3 5.8
79 3 43 5.4 1.6 5.0 7.6
80 3 44 -3.1 0.1 -0.6 3.2
81 3 45 1.7 -1.4 8.9 9.1
82 3 46 9.2 3.6 10.5 14.4
83 3 47 18.0 4.4 21.0 28.0
84 3 48 9.3 3.5 28.5 30.2
85 4 1 8.7 -2.7 -14.9 17.4
86 4 2 2.9 2.4 -3.4 5.1
87 4 3 12.8 1.3 6.9 14.6
88 4 4 6.1 -0.1 17.7 18.7
89 4 5 8.1 1.3 9.3 12.5
90 4 6 -1.7 7.4 11.4 13.7
91 4 7 -2.0 6.2 5.9 8.8
92 4 8 5.6 0.3 1.8 5.9
93 4 9 -0.6 0.9 0.2 1.1
94 4 10 10.0 2.1 6.1 11.9
95 4 11 -5.2 6.7 6.9 10.9
96 4 12 11.0 1.2 3.4 11.6
97 4 13 2.9 2.8 -14.0 14.6
98 4 14 -5.1 -5.0 -0.9 7.2
99 4 15 0.0 0.7 1.6 1.7
100 4 16 6.9 -9.9 0.9 12.2
101 4 17 5.0 -3.5 4.2 7.5
102 4 18 1.0 -7.5 -8.6 11.5
103 4 19 0.1 -5.6 -7.2 9.1
104 4 20 -4.1 -10.9 3.8 12.3
105 4 21 -10.7 -13.3 -2.9 17.3
106 4 22 21.5 -10.4 -19.3 30.7
107 4 23 4.5 -6.0 -24.7 25.8
108 4 24 4.5 -16.2 -16.1 23.3
109 4 25 10.3 -17.5 40.7 45.5
110 4 26 -0.3 -0.7 -6.5 6.6
111 4 27 -3.7 -6.9 -8.1 11.2
112 4 28 -5.0 -0.8 -1.5 5.3
113 4 29 8.4 -5.1 -46.5 47.5
114 4 30 2.0 1.3 -6.6 7.0
115 4 31 19.1 -1.9 5.9 20.1
116 4 32 12.0 0.1 3.1 12.4
117 4 33 20.0 -8.3 -3.0 21.9
118 4 34 9.7 4.0 12.7 16.5
119 4 35 3.7 -5.9 9.6 11.9
120 4 36 19.8 11.2 10.8 25.1
121 4 37 19.6 1.2 2.5 19.8
122 4 38 -4.7 -0.1 7.5 8.9
123 4 39 5.2 -0.6 -9.8 11.1
124 4 40 -13.9 -7.6 -7.1 17.3
125 4 41 -5.2 -19.6 -2.3 20.4
126 4 42 -1.6 -2.8 8.1 8.7
127 4 43 -3.3 1.1 15.2 15.6
128 4 44 -2.5 -6.2 0.9 6.7
129 4 45 -7.6 -6.6 2.1 10.3
130 4 46 1.3 -5.9 1.2 6.2
131 4 47 3.9 -2.7 -18.2 18.8
132 4 48 14.5 -4.5 -8.4 17.3
133 5 1 -14.2 -20.1 -3.2 24.8
134 5 2 -15.3 -5.6 -1.3 16.4
135 5 3 0.9 -21.3 -7.4 22.5
136 5 4 -4.5 -3.0 15.2 16.2
137 5 5 1.0 -1.5 14.8 14.9
138 5 6 4.9 -3.0 0.1 5.8
139 5 7 14.0 -13.7 -8.3 21.3
140 5 8 4.4 -8.6 17.4 19.9
141 5 9 -8.9 -5.3 5.8 11.9
142 5 10 2.7 -1.5 0.4 3.1
143 5 11 -5.9 -5.6 0.5 8.2
144 5 12 -1.7 -14.9 2.6 15.2
145 5 13 0.7 -10.7 3.0 11.2
146 5 14 -7.9 -8.4 0.4 11.5
147 5 15 -8.8 -9.0 1.8 12.7
148 5 16 -4.1 -18.3 -3.0 19.0
149 5 17 -2.9 -22.0 -36.3 42.5
150 5 18 -13.2 -15.2 196.5 197.5
151 5 19 -12.9 -10.6 -2.1 16.8
152 5 20 -2.2 -11.8 -7.9 14.3
153 5 21 -8.0 -22.5 -19.9 31.1
154 5 22 -8.0 -12.1 -18.7 23.7
155 5 23 -6.4 -13.1 -22.4 26.7
156 5 24 -14.8 -10.1 -22.2 28.5
157 5 25 -13.0 -15.0 -7.8 21.3
158 5 26 -12.3 -9.7 -6.3 16.9
159 5 27 2.5 -3.4 8.4 9.4
160 5 28 -5.3 2.8 10.0 11.6
161 5 29 -4.1 2.1 16.3 16.9
162 5 30 1.6 7.3 1.6 7.6
163 5 31 3.7 4.9 6.9 9.3
164 5 32 7.0 -7.1 -5.6 11.4
165 5 33 -8.7 -17.0 -6.0 20.0
166 5 34 0.9 1.4 -10.5 10.6
167 5 35 -8.3 -15.8 -11.4 21.1
168 5 36 7.0 -13.7 10.9 18.9
169 5 37 -11.3 -20.0 13.3 26.5
170 5 38 -9.6 -16.9 -10.9 22.2
171 5 39 -8.0 -30.0 -11.9 33.2
172 5 40 -14.5 -20.3 -15.0 29.1
173 5 41 -16.3 -23.3 -5.7 29.0
174 5 42 -2.4 -10.4 3.3 11.2
175 5 43 3.5 -8.8 -4.3 10.4
176 5 44 -9.7 -22.2 -9.5 26.0
177 5 45 -20.2 -25.0 -3.1 32.3
178 5 46 -11.7 -30.1 -17.5 36.8
179 5 47 -19.4 -19.5 -1.8 27.6
180 5 48 -11.9 -24.5 -3.4 27.5
181 6 1 -9.8 -15.8 18.1 25.9
182 6 2 -5.2 2.3 16.2 17.2
183 6 3 -10.5 3.2 22.3 24.9
184 6 4 -3.6 3.6 20.3 20.9
185 6 5 0.1 6.1 23.5 24.3
186 6 6 -4.5 -6.8 17.5 19.3
187 6 7 -5.2 -1.5 17.3 18.2
188 6 8 5.9 -2.2 -0.0 6.3
189 6 9 9.5 4.9 18.5 21.4
190 6 10 13.1 3.1 18.8 23.1
191 6 11 -8.0 -2.7 8.8 12.2
192 6 12 -2.5 -8.3 18.9 20.8
193 6 13 0.6 0.4 25.0 25.0
194 6 14 -12.6 -1.4 13.1 18.2
195 6 15 3.7 7.5 0.2 8.4
196 6 16 13.7 -17.7 2.8 22.6
197 6 17 4.0 -9.1 6.4 11.9
198 6 18 -4.2 -17.3 23.8 29.8
199 6 19 -19.3 -8.8 -13.8 25.3
200 6 20 -4.2 -26.4 -27.3 38.2
201 6 21 -5.3 -16.3 -4.7 17.8
202 6 22 -19.6 -14.6 -0.6 24.4
203 6 23 -19.2 -7.7 -26.9 34.0
204 6 24 -10.8 -10.3 -7.7 16.8
205 6 25 9.7 -9.5 24.2 27.8
206 6 26 11.1 12.7 1.0 16.9
207 6 27 28.6 9.2 24.6 38.8
208 6 28 22.1 15.0 20.8 33.8
209 6 29 48.0 12.2 36.8 61.7
210 6 30 23.2 2.3 47.7 53.1
211 6 31 7.4 4.9 12.7 15.4
212 6 32 14.9 9.4 1.7 17.7
213 6 33 -6.2 -10.6 0.0 12.3
214 6 34 -14.2 2.5 -0.5 14.4
215 6 35 -16.8 -8.6 -9.0 20.9
216 6 36 4.6 17.2 2.1 17.9
217 6 37 -8.7 -9.5 -5.9 14.2
218 6 38 -19.4 -4.7 -0.7 20.0
219 6 39 -13.4 -10.4 -10.5 20.0
220 6 40 -12.1 -12.6 9.4 19.9
221 6 41 -11.2 -17.5 8.6 22.5
222 6 42 -23.9 -19.3 -0.4 30.7
223 6 43 -17.3 -15.5 -20.5 30.9
224 6 44 -21.6 -15.0 -7.7 27.4
225 6 45 -29.1 -26.4 0.6 39.3
226 6 46 -29.7 -13.6 6.3 33.2
227 6 47 -11.2 -7.7 12.7 18.6
228 6 48 -16.9 -22.2 6.4 28.6
229 7 1 -0.5 -28.3 -13.3 31.3
230 7 2 14.2 -5.5 6.5 16.6
231 7 3 29.9 -9.6 26.1 40.8
232 7 4 16.7 10.5 21.2 29.0
233 7 5 33.3 20.1 65.1 75.9
234 7 6 28.8 19.0 64.6 73.3
235 7 7 1.5 21.6 39.3 44.9
236 7 8 -1.7 3.3 -4.1 5.5
237 7 9 0.2 13.6 28.0 31.1
238 7 10 17.3 10.7 34.4 40.0
239 7 11 -0.3 21.9 21.4 30.6
240 7 12 4.1 5.7 20.3 21.5
241 7 13 26.1 14.7 29.9 42.3
242 7 14 10.0 2.8 18.9 21.5
243 7 15 17.4 15.7 22.5 32.5
244 7 16 1.6 6.7 26.7 27.6
245 7 17 -3.9 7.2 14.9 17.0
246 7 18 -5.6 -10.9 21.5 24.7
247 7 19 -10.6 -3.3 -11.8 16.2
248 7 20 5.6 -11.7 4.6 13.8
249 7 21 -19.2 -19.1 -16.8 31.9
250 7 22 7.8 27.1 -12.5 30.8
251 7 23 -13.5 -16.2 -31.3 37.8
252 7 24 -2.9 -11.0 -31.6 33.6
253 7 25 37.2 -6.4 19.7 42.6
254 7 26 14.1 13.8 9.7 22.0
255 7 27 31.7 19.7 38.0 53.3
256 7 28 32.1 37.8 306.7 310.7
257 7 29 24.0 14.6 39.0 48.1
258 7 30 25.8 33.1 37.2 56.1
259 7 31 40.1 30.5 50.9 71.6
260 7 32 19.6 16.3 50.0 56.1
261 7 33 4.1 -0.3 18.6 19.1
262 7 34 6.5 3.2 15.6 17.2
263 7 35 -4.2 -6.6 9.1 12.0
264 7 36 2.0 -5.0 4.9 7.2
265 7 37 4.9 -14.9 12.2 19.9
266 7 38 4.5 12.4 9.5 16.2
267 7 39 -1.3 -16.7 19.9 26.1
268 7 40 1.8 8.9 29.4 30.7
269 7 41 7.8 0.9 18.9 20.5
270 7 42 -9.8 4.7 22.7 25.1
271 7 43 -34.1 -11.2 27.6 45.2
272 7 44 -1.7 -6.9 17.3 18.7
273 7 45 10.5 -16.8 -1.9 19.9
274 7 46 -2.8 -9.7 4.4 11.0
275 7 47 -1.5 -22.0 -8.7 23.7
276 7 48 -17.0 136.5 -26.3 140.0
Creating sector-motor-move file
sector motor steps
1 1 6
1 2 3
1 3 5
1 4 6
1 5 1
1 6 -1
1 7 8
1 8 -2
1 9 9
1 10 6
1 11 0
1 12 -3
1 13 1
1 14 -1
1 15 4
1 16 4
1 17 0
1 18 -1
1 19 -4
1 20 -8
1 21 0
1 22 5
1 23 -4
1 24 -3
1 25 4
1 26 0
1 27 -1
1 28 5
1 29 0
1 30 1
1 31 -2
1 32 -6
1 33 0
1 34 2
1 35 0
1 36 3
1 37 0
1 38 -1
1 39 -4
1 40 -1
1 41 0
1 42 0
1 43 0
1 44 -6
1 45 -4
1 46 -4
1 47 0
1 48 2
1 49 7
1 50 3
1 51 1
1 52 4
1 53 5
1 54 1
1 55 6
1 56 2
1 57 2
1 58 2
1 59 -2
1 60 3
1 61 7
1 62 1
1 63 3
1 64 4
1 65 0
1 66 3
1 67 2
1 68 2
1 69 0
2 1 -1
2 2 1
2 3 0
2 4 0
2 5 0
2 6 1
2 7 12
2 8 6
2 9 0
2 10 5
2 11 0
2 12 -1
2 13 19
2 14 5
2 15 8
2 16 5
2 17 -2
2 18 -1
2 19 19
2 20 6
2 21 10
2 22 7
2 23 1
2 24 0
2 25 5
2 26 -2
2 27 1
2 28 0
2 29 0
2 30 1
2 31 -2
2 32 -4
2 33 4
2 34 1
2 35 1
2 36 0
2 37 0
2 38 0
2 39 1
2 40 3
2 41 2
2 42 0
2 43 4
2 44 0
2 45 0
2 46 2
2 47 0
2 48 2
2 49 3
2 50 2
2 51 2
2 52 4
2 53 5
2 54 0
2 55 2
2 56 2
2 57 3
2 58 5
2 59 -5
2 60 1
2 61 6
2 62 1
2 63 3
2 64 4
2 65 2
2 66 7
2 67 2
2 68 1
2 69 2
3 1 6
3 2 1
3 3 1
3 4 5
3 5 -2
3 6 0
3 7 6
3 8 6
3 9 0
3 10 2
3 11 0
3 12 -2
3 13 10
3 14 3
3 15 5
3 16 5
3 17 0
3 18 4
3 19 8
3 20 4
3 21 0
3 22 5
3 23 1
3 24 2
3 25 0
3 26 -4
3 27 0
3 28 1
3 29 0
3 30 3
3 31 0
3 32 -1
3 33 -1
3 34 2
3 35 2
3 36 -1
3 37 0
3 38 0
3 39 0
3 40 1
3 41 0
3 42 3
3 43 1
3 44 -1
3 45 -2
3 46 0
3 47 0
3 48 0
3 49 2
3 50 2
3 51 2
3 52 3
3 53 4
3 54 -2
3 55 4
3 56 2
3 57 0
3 58 4
3 59 -9
3 60 -3
3 61 5
3 62 3
3 63 1
3 64 4
3 65 -4
3 66 1
3 67 1
3 68 2
3 69 4
4 1 8
4 2 2
4 3 0
4 4 0
4 5 -5
4 6 4
4 7 6
4 8 4
4 9 5
4 10 0
4 11 2
4 12 1
4 13 5
4 14 0
4 15 3
4 16 4
4 17 0
4 18 -3
4 19 9
4 20 4
4 21 8
4 22 7
4 23 0
4 24 0
4 25 0
4 26 -5
4 27 -1
4 28 0
4 29 -3
4 30 2
4 31 0
4 32 -2
4 33 -2
4 34 0
4 35 0
4 36 0
4 37 0
4 38 -2
4 39 -2
4 40 0
4 41 -1
4 42 -1
4 43 0
4 44 -3
4 45 0
4 46 -4
4 47 0
4 48 0
4 49 0
4 50 1
4 51 0
4 52 4
4 53 7
4 54 6
4 55 0
4 56 1
4 57 1
4 58 1
4 59 -9
4 60 1
4 61 2
4 62 3
4 63 5
4 64 3
4 65 1
4 66 4
4 67 2
4 68 2
4 69 0
5 1 1
5 2 -3
5 3 1
5 4 -8
5 5 -8
5 6 -1
5 7 -3
5 8 0
5 9 -3
5 10 -4
5 11 -2
5 12 -5
5 13 6
5 14 -3
5 15 -1
5 16 7
5 17 -5
5 18 -1
5 19 4
5 20 2
5 21 -1
5 22 1
5 23 -2
5 24 1
5 25 -2
5 26 -3
5 27 0
5 28 1
5 29 -3
5 30 -1
5 31 0
5 32 -3
5 33 -3
5 34 -2
5 35 -1
5 36 0
5 37 60
5 38 -4
5 39 -4
5 40 -2
5 41 -2
5 42 0
5 43 -11
5 44 -6
5 45 0
5 46 1
5 47 -1
5 48 1
5 49 3
5 50 1
5 51 -1
5 52 0
5 53 2
5 54 -3
5 55 0
5 56 0
5 57 1
5 58 0
5 59 -6
5 60 -5
5 61 1
5 62 2
5 63 0
5 64 2
5 65 -5
5 66 2
5 67 1
5 68 0
5 69 2
6 1 -9
6 2 -3
6 3 0
6 4 -2
6 5 -3
6 6 -3
6 7 -9
6 8 -4
6 9 -4
6 10 -8
6 11 -2
6 12 -5
6 13 -3
6 14 8
6 15 2
6 16 0
6 17 -4
6 18 -6
6 19 -5
6 20 -5
6 21 -5
6 22 -1
6 23 -5
6 24 -1
6 25 -6
6 26 -3
6 27 -4
6 28 -4
6 29 -4
6 30 1
6 31 -6
6 32 -4
6 33 -1
6 34 -7
6 35 -1
6 36 1
6 37 -5
6 38 -3
6 39 -2
6 40 -5
6 41 -3
6 42 6
6 43 -6
6 44 -6
6 45 -2
6 46 0
6 47 -4
6 48 -3
6 49 -1
6 50 0
6 51 1
6 52 2
6 53 3
6 54 -2
6 55 0
6 56 0
6 57 0
6 58 -3
6 59 -14
6 60 -5
6 61 2
6 62 1
6 63 1
6 64 -4
6 65 -2
6 66 1
6 67 0
6 68 -1
6 69 -2
7 1 94
7 2 11
7 3 9
7 4 6
7 5 4
7 6 6
7 7 11
7 8 6
7 9 9
7 10 7
7 11 2
7 12 8
7 13 2
7 14 4
7 15 4
7 16 0
7 17 3
7 18 3
7 19 6
7 20 -1
7 21 11
7 22 7
7 23 -2
7 24 2
7 25 3
7 26 0
7 27 -1
7 28 0
7 29 0
7 30 -1
7 31 2
7 32 -1
7 33 0
7 34 -2
7 35 -2
7 36 -1
7 37 -1
7 38 -2
7 39 -3
7 40 -1
7 41 0
7 42 0
7 43 -2
7 44 -4
7 45 -3
7 46 12
7 47 -5
7 48 3
7 49 2
7 50 0
7 51 2
7 52 0
7 53 2
7 54 -1
7 55 -3
7 56 0
7 57 -2
7 58 -7
7 59 -6
7 60 -3
7 61 -1
7 62 -2
7 63 0
7 64 2
7 65 -4
7 66 -1
7 67 3
7 68 0
7 69 0
8 1 15
8 2 5
8 3 6
8 4 0
8 5 2
8 6 4
8 7 15
8 8 9
8 9 12
8 10 3
8 11 1
8 12 2
8 13 11
8 14 10
8 15 7
8 16 14
8 17 0
8 18 7
8 19 11
8 20 4
8 21 7
8 22 11
8 23 3
8 24 14
8 25 -1
8 26 -2
8 27 2
8 28 0
8 29 0
8 30 3
8 31 2
8 32 1
8 33 1
8 34 1
8 35 0
8 36 5
8 37 0
8 38 2
8 39 0
8 40 -2
8 41 0
8 42 0
8 43 5
8 44 0
8 45 -1
8 46 -14
8 47 -1
8 48 2
8 49 1
8 50 1
8 51 6
8 52 4
8 53 2
8 54 0
8 55 0
8 56 -4
8 57 0
8 58 -1
8 59 -7
8 60 1
8 61 0
8 62 1
8 63 2
8 64 4
8 65 -5
8 66 5
8 67 4
8 68 5
8 69 5
9 1 1
9 2 -1
9 3 0
9 4 0
9 5 5
9 6 1
9 7 2
9 8 -2
9 9 -1
9 10 -2
9 11 -2
9 12 -5
9 13 4
9 14 0
9 15 1
9 16 0
9 17 0
9 18 -4
9 19 5
9 20 0
9 21 1
9 22 0
9 23 -3
9 24 -1
9 25 3
9 26 -4
9 27 2
9 28 3
9 29 3
9 30 6
9 31 -3
9 32 -4
9 33 -2
9 34 2
9 35 -1
9 36 1
9 37 -3
9 38 0
9 39 0
9 40 3
9 41 1
9 42 2
9 43 -1
9 44 -5
9 45 -2
9 46 0
9 47 -2
9 48 6
9 49 6
9 50 2
9 51 8
9 52 11
9 53 4
9 54 1
9 55 0
9 56 3
9 57 0
9 58 0
9 59 -16
9 60 5
9 61 3
9 62 4
9 63 5
9 64 5
9 65 0
9 66 6
9 67 3
9 68 6
9 69 1
10 1 9
10 2 2
10 3 0
10 4 2
10 5 -3
10 6 -3
10 7 6
10 8 -5
10 9 0
10 10 -3
10 11 -3
10 12 -4
10 13 2
10 14 3
10 15 1
10 16 0
10 17 -1
10 18 -5
10 19 3
10 20 -4
10 21 1
10 22 -1
10 23 -2
10 24 -2
10 25 -4
10 26 -6
10 27 -4
10 28 -2
10 29 -2
10 30 -4
10 31 -3
10 32 -9
10 33 -2
10 34 -3
10 35 0
10 36 1
10 37 -3
10 38 -5
10 39 -2
10 40 2
10 41 0
10 42 -1
10 43 4
10 44 -6
10 45 -3
10 46 0
10 47 0
10 48 6
10 49 6
10 50 3
10 51 3
10 52 5
10 53 6
10 54 2
10 55 3
10 56 0
10 57 5
10 58 0
10 59 -5
10 60 4
10 61 11
10 62 7
10 63 11
10 64 4
10 65 4
10 66 10
10 67 5
10 68 0
10 69 5
11 1 5
11 2 -2
11 3 0
11 4 -2
11 5 -4
11 6 -6
11 7 8
11 8 -3
11 9 -10
11 10 -6
11 11 -4
11 12 -5
11 13 6
11 14 1
11 15 -3
11 16 0
11 17 -5
11 18 -7
11 19 5
11 20 0
11 21 2
11 22 2
11 23 -5
11 24 -3
11 25 -2
11 26 -6
11 27 -2
11 28 0
11 29 -1
11 30 0
11 31 -1
11 32 -2
11 33 1
11 34 4
11 35 0
11 36 -1
11 37 1
11 38 -3
11 39 0
11 40 2
11 41 0
11 42 0
11 43 -1
11 44 -7
11 45 -5
11 46 0
11 47 -6
11 48 -1
11 49 1
11 50 0
11 51 1
11 52 8
11 53 9
11 54 4
11 55 -1
11 56 0
11 57 0
11 58 0
11 59 -4
11 60 2
11 61 -1
11 62 0
11 63 3
11 64 4
11 65 1
11 66 4
11 67 0
11 68 0
11 69 0
12 1 -8
12 2 41
12 3 -5
12 4 1
12 5 -6
12 6 -5
12 7 -2
12 8 -6
12 9 0
12 10 3
12 11 -2
12 12 -3
12 13 1
12 14 -2
12 15 0
12 16 1
12 17 -4
12 18 -9
12 19 0
12 20 -5
12 21 3
12 22 0
12 23 -8
12 24 -8
12 25 -1
12 26 -7
12 27 -3
12 28 -2
12 29 -1
12 30 4
12 31 0
12 32 -5
12 33 -5
12 34 -5
12 35 0
12 36 1
12 37 -5
12 38 -9
12 39 -3
12 40 0
12 41 -1
12 42 0
12 43 0
12 44 -7
12 45 -6
12 46 0
12 47 -2
12 48 -2
12 49 6
12 50 1
12 51 5
12 52 4
12 53 0
12 54 1
12 55 3
12 56 1
12 57 2
12 58 3
12 59 2
12 60 1
12 61 2
12 62 0
12 63 0
12 64 3
12 65 3
12 66 4
12 67 8
12 68 1
12 69 2
Adjuster movements: rms = 19.7 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050223-114820
Creating HTML output file of plots
Plotting summary text