![[aveap.gif]](aveap.gif)
Average aperture phaseData File: rxh3-20050119-230706.fits
Reduced on 20050120-115844 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 | rxh3-20050119-230706.fits |
| data.pointing_lag_x | 0 |
| data.pointing_lag_y | 0 |
| data.pointing_offset_x | 0.0 |
| data.pointing_offset_y | 12.2 |
| data.process_freqs | all |
| data.secondary_defocus_offset | 2.92 |
| 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 | 0.033920000000000006 |
| 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: 20050120-115844
Reading data from rxh3-20050119-230706.fits
Reduction ID: default
Read keywords into global array holo_keys
Read binary table data into global array holo_data
Finished reading data
Converted positions to arcsec, times to elapsed seconds, and reversed x-axis
Pattern extent: min = 2402.5 max = 2426.4 arcsec
Nominal defocus setting was 31. mm
Using actual defocus setting of 33.920 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 -2.95898 3.01758 -0.00242
loimag -3.21777 3.12744 -0.00885
hireal -5.00000 4.99756 0.00270
hiimag -5.00000 4.99756 0.01825
xpos -2426.43212 2405.17321 -13.29676
ypos -2402.88856 2402.50134 0.00046
plock160 0.97168 2.33154 1.70425
lorefpwr 1.54541 2.90283 2.43321
losigpwr -4.59717 -0.34912 -4.48364
hirefpwr 1.59668 2.92480 2.45347
hisigpwr -4.51416 4.99756 -1.48548
encltemp 31.59180 32.93457 32.14122
flags 0.00000 256.00000 2.44471
phi-lock -1.25000 0.08789 -0.62353
sindex 0.00000 254.00000 126.60925
time 0.00000 5877.01074 2937.60520
zeropt -0.00732 -0.00244 -0.00492
!!!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 = 20.00301 arcsec
Mean row spacing = 20.00302 arcsec (alternate estimator)
Mean tracking incline = -0.01136 arcsec
Mean pointing range = 0.50621 arcsec
Mean pointing rms = 0.09150 arcsec
This map *probably* has non-inclined rows
Applying pointing shifts: (0.0, 12.2 ) 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: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 1: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 2: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 3: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 4: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 5: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 6: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 7: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 8: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 9: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 10: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 11: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 12: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 13: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 14: 90356 data points
Selecting all rows from the map (row = -1)
Extracted frequency 15: 90356 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 = 2426.43 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 = 2.94334 at (0.0, 0.0) arcsec
Real: mean = -0.000598517 sum of squares = 1988.36
Imag: mean = -0.000500891 sum of squares = 2033.21
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 = 2.9933 at (0.0, 0.0) arcsec
Real: mean = -0.000409475 sum of squares = 1941.02
Imag: mean = -0.000642239 sum of squares = 2094.44
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 = 3.03044 at (0.0, 0.0) arcsec
Real: mean = -0.000223602 sum of squares = 2072.55
Imag: mean = -0.00061501 sum of squares = 1982.5
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 = 3.04626 at (0.0, 0.0) arcsec
Real: mean = -9.10287e-05 sum of squares = 2093.81
Imag: mean = -0.000462788 sum of squares = 1980.76
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 = 3.02459 at (0.0, 0.0) arcsec
Real: mean = -0.000126471 sum of squares = 1980.73
Imag: mean = -0.000267085 sum of squares = 2113.24
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 = 2.9818 at (0.0, 0.0) arcsec
Real: mean = -0.00027632 sum of squares = 2020.58
Imag: mean = -0.000149575 sum of squares = 2101.61
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 = 2.96396 at (0.0, 0.0) arcsec
Real: mean = -0.000510288 sum of squares = 2154.22
Imag: mean = -0.000237519 sum of squares = 2004.96
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 = 2.98884 at (0.0, 0.0) arcsec
Real: mean = -0.000596975 sum of squares = 2110.78
Imag: mean = -0.000424394 sum of squares = 2079.42
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 = 3.03519 at (0.0, 0.0) arcsec
Real: mean = -0.000461657 sum of squares = 2022.16
Imag: mean = -0.000627791 sum of squares = 2198.28
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 = 3.0748 at (0.0, 0.0) arcsec
Real: mean = -0.000302797 sum of squares = 2133.57
Imag: mean = -0.000618356 sum of squares = 2114.01
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 = 3.09194 at (0.0, 0.0) arcsec
Real: mean = -9.90933e-05 sum of squares = 2219.93
Imag: mean = -0.000616321 sum of squares = 2061.55
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 = 3.07602 at (0.0, 0.0) arcsec
Real: mean = -4.70451e-05 sum of squares = 2124.25
Imag: mean = -0.000252996 sum of squares = 2202.04
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 = 3.05218 at (0.0, 0.0) arcsec
Real: mean = -0.000272048 sum of squares = 2113.11
Imag: mean = -0.000223458 sum of squares = 2255.79
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 = 3.04309 at (0.0, 0.0) arcsec
Real: mean = -0.000404483 sum of squares = 2259.91
Imag: mean = -0.000109344 sum of squares = 2150.27
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 = 3.07741 at (0.0, 0.0) arcsec
Real: mean = -0.000685314 sum of squares = 2280.89
Imag: mean = -0.000389 sum of squares = 2173.88
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 = 3.11822 at (0.0, 0.0) arcsec
Real: mean = -0.000508441 sum of squares = 2172.23
Imag: mean = -0.000594144 sum of squares = 2332.89
Masking frequency index 0
Mask scale size = 6.11779
Masking frequency index 1
Mask scale size = 6.11795
Masking frequency index 2
Mask scale size = 6.1181
Masking frequency index 3
Mask scale size = 6.11825
Masking frequency index 4
Mask scale size = 6.1184
Masking frequency index 5
Mask scale size = 6.11856
Masking frequency index 6
Mask scale size = 6.11871
Masking frequency index 7
Mask scale size = 6.11886
Masking frequency index 8
Mask scale size = 6.11901
Masking frequency index 9
Mask scale size = 6.11917
Masking frequency index 10
Mask scale size = 6.11932
Masking frequency index 11
Mask scale size = 6.11947
Masking frequency index 12
Mask scale size = 6.11962
Masking frequency index 13
Mask scale size = 6.11977
Masking frequency index 14
Mask scale size = 6.11993
Masking frequency index 15
Mask scale size = 6.12008
Checking phase lock voltage for frequency 0...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 1...
Max point-to-point PLL voltage change: 0.180664
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 2...
Max point-to-point PLL voltage change: 0.200195
Median point-to-point PLL voltage change: 0.00732422
Checking phase lock voltage for frequency 3...
Max point-to-point PLL voltage change: 0.168457
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 4...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 5...
Max point-to-point PLL voltage change: 0.175781
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 6...
Max point-to-point PLL voltage change: 0.192871
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 7...
Max point-to-point PLL voltage change: 0.183105
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 8...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 9...
Max point-to-point PLL voltage change: 0.185547
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 10...
Max point-to-point PLL voltage change: 0.178223
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 11...
Max point-to-point PLL voltage change: 0.195312
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 12...
Max point-to-point PLL voltage change: 0.17334
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 13...
Max point-to-point PLL voltage change: 0.214844
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 14...
Max point-to-point PLL voltage change: 0.187988
Median point-to-point PLL voltage change: 0.00976562
Checking phase lock voltage for frequency 15...
Max point-to-point PLL voltage change: 0.19043
Median point-to-point PLL voltage change: 0.00976562
Doing FFT of patterns...
Normalising FFT patterns...
Freq 0: Shift, scale = 2.6471 127.32
Freq 1: Shift, scale = 1.786 128.44
Freq 2: Shift, scale = 0.92257 128.78
Freq 3: Shift, scale = 0.059022 129.73
Freq 4: Shift, scale = -0.81326 130
Freq 5: Shift, scale = -1.6809 128.74
Freq 6: Shift, scale = -2.5329 128.65
Freq 7: Shift, scale = 2.8928 130.07
Freq 8: Shift, scale = 2.0298 131.65
Freq 9: Shift, scale = 1.1593 132.16
Freq 10: Shift, scale = 0.2917 132.26
Freq 11: Shift, scale = -0.57066 132.26
Freq 12: Shift, scale = -1.4336 132.89
Freq 13: Shift, scale = -2.2962 133.36
Freq 14: Shift, scale = 3.1214 134.1
Freq 15: Shift, scale = 2.258 134.75
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: -0.401 radians
x offset: 0.0532 arcsec
y offset: 0.0318 arcsec
defocus: 0.000494 mm
Estimated x pointing error is 0.05324 arcsec (used 0 arcsec)
Estimated y pointing error is 12.23 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.92 mm (used 2.92 mm)
Fitting frequency 1
Minimiser fit code = 1
piston: -0.399 radians
x offset: 0.0466 arcsec
y offset: 0.042 arcsec
defocus: 0.000859 mm
Estimated x pointing error is 0.04656 arcsec (used 0 arcsec)
Estimated y pointing error is 12.24 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.921 mm (used 2.92 mm)
Fitting frequency 2
Minimiser fit code = 1
piston: -0.399 radians
x offset: 0.0406 arcsec
y offset: 0.0271 arcsec
defocus: -0.000589 mm
Estimated x pointing error is 0.04063 arcsec (used 0 arcsec)
Estimated y pointing error is 12.23 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.919 mm (used 2.92 mm)
Fitting frequency 3
Minimiser fit code = 1
piston: -0.4 radians
x offset: 0.0401 arcsec
y offset: 0.0156 arcsec
defocus: -0.00197 mm
Estimated x pointing error is 0.04006 arcsec (used 0 arcsec)
Estimated y pointing error is 12.22 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.918 mm (used 2.92 mm)
Fitting frequency 4
Minimiser fit code = 3
piston: -0.408 radians
x offset: 0.0322 arcsec
y offset: 0.0173 arcsec
defocus: -0.00191 mm
Estimated x pointing error is 0.03221 arcsec (used 0 arcsec)
Estimated y pointing error is 12.22 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.918 mm (used 2.92 mm)
Fitting frequency 5
Minimiser fit code = 1
piston: -0.411 radians
x offset: 0.0249 arcsec
y offset: 0.0423 arcsec
defocus: -5.4e-05 mm
Estimated x pointing error is 0.02493 arcsec (used 0 arcsec)
Estimated y pointing error is 12.24 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.92 mm (used 2.92 mm)
Fitting frequency 6
Minimiser fit code = 3
piston: -0.4 radians
x offset: 0.0132 arcsec
y offset: 0.0553 arcsec
defocus: -0.000173 mm
Estimated x pointing error is 0.01324 arcsec (used 0 arcsec)
Estimated y pointing error is 12.26 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.92 mm (used 2.92 mm)
Fitting frequency 7
Minimiser fit code = 1
piston: -0.396 radians
x offset: 0.0116 arcsec
y offset: 0.0332 arcsec
defocus: -0.00167 mm
Estimated x pointing error is 0.01157 arcsec (used 0 arcsec)
Estimated y pointing error is 12.23 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.918 mm (used 2.92 mm)
Fitting frequency 8
Minimiser fit code = 3
piston: -0.397 radians
x offset: 0.0158 arcsec
y offset: 0.0163 arcsec
defocus: -0.00379 mm
Estimated x pointing error is 0.01584 arcsec (used 0 arcsec)
Estimated y pointing error is 12.22 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.916 mm (used 2.92 mm)
Fitting frequency 9
Minimiser fit code = 3
piston: -0.402 radians
x offset: 0.00979 arcsec
y offset: 0.0153 arcsec
defocus: -0.00285 mm
Estimated x pointing error is 0.00979 arcsec (used 0 arcsec)
Estimated y pointing error is 12.22 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.917 mm (used 2.92 mm)
Fitting frequency 10
Minimiser fit code = 3
piston: -0.407 radians
x offset: -0.00481 arcsec
y offset: 0.034 arcsec
defocus: -0.0026 mm
Estimated x pointing error is -0.004805 arcsec (used 0 arcsec)
Estimated y pointing error is 12.23 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.917 mm (used 2.92 mm)
Fitting frequency 11
Minimiser fit code = 3
piston: -0.407 radians
x offset: -0.0174 arcsec
y offset: 0.0402 arcsec
defocus: -0.00279 mm
Estimated x pointing error is -0.01744 arcsec (used 0 arcsec)
Estimated y pointing error is 12.24 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.917 mm (used 2.92 mm)
Fitting frequency 12
Minimiser fit code = 3
piston: -0.406 radians
x offset: -0.0189 arcsec
y offset: 0.00811 arcsec
defocus: -0.0034 mm
Estimated x pointing error is -0.01891 arcsec (used 0 arcsec)
Estimated y pointing error is 12.21 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.917 mm (used 2.92 mm)
Fitting frequency 13
Minimiser fit code = 3
piston: -0.405 radians
x offset: -0.0206 arcsec
y offset: -0.021 arcsec
defocus: -0.00534 mm
Estimated x pointing error is -0.02059 arcsec (used 0 arcsec)
Estimated y pointing error is 12.18 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.915 mm (used 2.92 mm)
Fitting frequency 14
Minimiser fit code = 3
piston: -0.405 radians
x offset: -0.0276 arcsec
y offset: -0.0344 arcsec
defocus: -0.00476 mm
Estimated x pointing error is -0.02756 arcsec (used 0 arcsec)
Estimated y pointing error is 12.17 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.915 mm (used 2.92 mm)
Fitting frequency 15
Minimiser fit code = 3
piston: -0.404 radians
x offset: -0.0378 arcsec
y offset: -0.0128 arcsec
defocus: -0.00486 mm
Estimated x pointing error is -0.03783 arcsec (used 0 arcsec)
Estimated y pointing error is 12.19 arcsec (used 12.2 arcsec)
Estimated defocus error is 2.915 mm (used 2.92 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 0.00285 piston
1 1 -0.00786 tilt_x
1 -1 -0.00091 tilt_y
2 2 0.03724 astigmatism_0
2 0 0.00867 curvature
2 -2 0.04790 astigmatism45
3 3 -0.00153 trefoil_0
3 1 -0.01353 coma_x
3 -1 0.00196 coma_y
3 -3 -0.05609 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 0.00297 piston
1 1 -0.00843 tilt_x
1 -1 -0.00036 tilt_y
2 2 0.03935 astigmatism_0
2 0 0.00881 curvature
2 -2 0.04815 astigmatism45
3 3 -0.00209 trefoil_0
3 1 -0.01474 coma_x
3 -1 0.00455 coma_y
3 -3 -0.05895 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 0.00288 piston
1 1 -0.00906 tilt_x
1 -1 -0.00120 tilt_y
2 2 0.03488 astigmatism_0
2 0 0.00882 curvature
2 -2 0.04885 astigmatism45
3 3 0.00020 trefoil_0
3 1 -0.01734 coma_x
3 -1 0.00236 coma_y
3 -3 -0.05652 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 0.00281 piston
1 1 -0.00884 tilt_x
1 -1 -0.00139 tilt_y
2 2 0.03297 astigmatism_0
2 0 0.00870 curvature
2 -2 0.05080 astigmatism45
3 3 0.00085 trefoil_0
3 1 -0.01674 coma_x
3 -1 0.00170 coma_y
3 -3 -0.05455 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 0.00285 piston
1 1 -0.00873 tilt_x
1 -1 -0.00149 tilt_y
2 2 0.03305 astigmatism_0
2 0 0.00882 curvature
2 -2 0.05180 astigmatism45
3 3 0.00004 trefoil_0
3 1 -0.01590 coma_x
3 -1 0.00123 coma_y
3 -3 -0.05539 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 0.00286 piston
1 1 -0.00801 tilt_x
1 -1 -0.00015 tilt_y
2 2 0.03596 astigmatism_0
2 0 0.00873 curvature
2 -2 0.05018 astigmatism45
3 3 -0.00038 trefoil_0
3 1 -0.01346 coma_x
3 -1 0.00564 coma_y
3 -3 -0.05878 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 0.00290 piston
1 1 -0.00761 tilt_x
1 -1 0.00043 tilt_y
2 2 0.03852 astigmatism_0
2 0 0.00865 curvature
2 -2 0.05000 astigmatism45
3 3 -0.00254 trefoil_0
3 1 -0.01184 coma_x
3 -1 0.00796 coma_y
3 -3 -0.06188 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 0.00290 piston
1 1 -0.00799 tilt_x
1 -1 -0.00042 tilt_y
2 2 0.03555 astigmatism_0
2 0 0.00871 curvature
2 -2 0.05207 astigmatism45
3 3 -0.00038 trefoil_0
3 1 -0.01338 coma_x
3 -1 0.00557 coma_y
3 -3 -0.06023 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 0.00283 piston
1 1 -0.00799 tilt_x
1 -1 -0.00144 tilt_y
2 2 0.03226 astigmatism_0
2 0 0.00866 curvature
2 -2 0.05262 astigmatism45
3 3 0.00250 trefoil_0
3 1 -0.01416 coma_x
3 -1 0.00189 coma_y
3 -3 -0.05656 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 0.00284 piston
1 1 -0.00787 tilt_x
1 -1 -0.00129 tilt_y
2 2 0.03307 astigmatism_0
2 0 0.00874 curvature
2 -2 0.05189 astigmatism45
3 3 0.00239 trefoil_0
3 1 -0.01377 coma_x
3 -1 0.00226 coma_y
3 -3 -0.05691 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 0.00293 piston
1 1 -0.00778 tilt_x
1 -1 -0.00089 tilt_y
2 2 0.03679 astigmatism_0
2 0 0.00885 curvature
2 -2 0.05033 astigmatism45
3 3 0.00049 trefoil_0
3 1 -0.01265 coma_x
3 -1 0.00352 coma_y
3 -3 -0.06111 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 0.00295 piston
1 1 -0.00693 tilt_x
1 -1 -0.00028 tilt_y
2 2 0.03833 astigmatism_0
2 0 0.00875 curvature
2 -2 0.04909 astigmatism45
3 3 -0.00139 trefoil_0
3 1 -0.00978 coma_x
3 -1 0.00572 coma_y
3 -3 -0.06241 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 0.00289 piston
1 1 -0.00685 tilt_x
1 -1 -0.00044 tilt_y
2 2 0.03562 astigmatism_0
2 0 0.00864 curvature
2 -2 0.05047 astigmatism45
3 3 0.00010 trefoil_0
3 1 -0.01003 coma_x
3 -1 0.00558 coma_y
3 -3 -0.06041 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 0.00284 piston
1 1 -0.00698 tilt_x
1 -1 -0.00143 tilt_y
2 2 0.03241 astigmatism_0
2 0 0.00870 curvature
2 -2 0.05274 astigmatism45
3 3 0.00363 trefoil_0
3 1 -0.01108 coma_x
3 -1 0.00245 coma_y
3 -3 -0.05787 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 0.00282 piston
1 1 -0.00690 tilt_x
1 -1 -0.00184 tilt_y
2 2 0.03201 astigmatism_0
2 0 0.00876 curvature
2 -2 0.05198 astigmatism45
3 3 0.00298 trefoil_0
3 1 -0.01072 coma_x
3 -1 0.00073 coma_y
3 -3 -0.05816 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 0.00291 piston
1 1 -0.00732 tilt_x
1 -1 -0.00130 tilt_y
2 2 0.03675 astigmatism_0
2 0 0.00874 curvature
2 -2 0.05063 astigmatism45
3 3 -0.00007 trefoil_0
3 1 -0.01097 coma_x
3 -1 0.00199 coma_y
3 -3 -0.06192 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: 26 24 18.1 21.8 21.9 22.7 33 25.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.9 24 18 21.8 21.8 22.1 31.6 24.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.449 0.927 1.56 2.45 3.71 5.4 7.58 4.86
Unweighted rms analysis, frequency 1
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.9 23.9 18.5 22.6 21.9 22.8 32.7 25.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 23.9 18.5 22.7 21.8 22.1 31.2 24.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.501 1.01 1.66 2.56 3.84 5.59 7.87 5.04
Unweighted rms analysis, frequency 2
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 23.3 18.8 22.9 21.7 22.8 32.2 25.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 23.3 18.7 22.9 21.7 22.3 30.7 24.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.559 1.09 1.7 2.53 3.72 5.38 7.59 4.88
Unweighted rms analysis, frequency 3
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 23.3 18.3 22.1 21.7 22.7 32.3 25.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.5 23.2 18.2 22.1 21.6 22.1 30.8 24.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.54 1.06 1.68 2.52 3.7 5.34 7.5 4.83
Unweighted rms analysis, frequency 4
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26 23.5 18.3 21.5 21.8 22.8 32.5 25.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.9 23.5 18.3 21.6 21.7 22.2 31.2 24.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.515 1.03 1.66 2.53 3.75 5.42 7.6 4.89
Unweighted rms analysis, frequency 5
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 23.6 18 21.4 22 22.8 33 25.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 23.7 17.9 21.4 21.9 22.1 31.5 24.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.476 0.972 1.62 2.53 3.82 5.55 7.81 5.01
Unweighted rms analysis, frequency 6
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.7 23.5 18.2 21.7 22 22.7 32.6 25.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 23.6 18.2 21.6 21.9 22 31.1 24.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.468 0.968 1.64 2.59 3.93 5.74 8.1 5.17
Unweighted rms analysis, frequency 7
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 23.6 18.4 21.9 21.6 22.7 32.1 25.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.2 23.6 18.4 21.9 21.5 22 30.5 24.5
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.474 0.976 1.64 2.58 3.9 5.68 7.99 5.11
Unweighted rms analysis, frequency 8
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.5 23.4 18.6 22.4 21.4 22.7 32.2 25.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.5 23.4 18.5 22.5 21.3 22.1 30.7 24.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.467 0.958 1.6 2.51 3.77 5.47 7.67 4.93
Unweighted rms analysis, frequency 9
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26 23.1 18.5 22.6 21.6 22.8 32.6 25.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.9 23.1 18.4 22.6 21.4 22.1 31.2 24.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.458 0.944 1.59 2.5 3.77 5.47 7.68 4.93
Unweighted rms analysis, frequency 10
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 23.6 18 22.1 21.8 22.8 32.8 25.4
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 23.6 17.9 22.1 21.7 22.1 31.5 24.8
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.435 0.917 1.58 2.54 3.88 5.67 7.98 5.1
Unweighted rms analysis, frequency 11
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.5 23.6 18.1 21.6 21.8 22.8 32.4 25.2
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 23.6 18.1 21.6 21.7 22.1 30.9 24.6
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.385 0.848 1.53 2.51 3.89 5.71 8.04 5.13
Unweighted rms analysis, frequency 12
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.5 22.9 18.3 21.5 21.6 22.7 31.9 25
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.6 23 18.2 21.5 21.5 22 30.4 24.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.388 0.849 1.52 2.49 3.83 5.61 7.89 5.04
Unweighted rms analysis, frequency 13
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.9 22.9 18.2 21.9 21.5 22.7 32 25.1
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.9 22.9 18.1 21.9 21.4 22 30.6 24.4
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.385 0.844 1.51 2.47 3.79 5.53 7.74 4.96
Unweighted rms analysis, frequency 14
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 23.5 18.2 21.8 21.6 22.9 32.6 25.3
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 26.1 23.5 18.1 21.8 21.5 22.3 31.2 24.7
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.368 0.816 1.47 2.43 3.75 5.49 7.69 4.92
Unweighted rms analysis, frequency 15
Total errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.9 23.6 18.1 22.1 21.9 22.9 33 25.5
Small-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 25.8 23.6 18 22.1 21.8 22.3 31.6 24.9
Large-scale errors:
ring: 1 2 3 4 5 6 7 total
rms: 0.381 0.843 1.52 2.51 3.89 5.71 8.02 5.12
Total errors on mean aperture:
ring: 1 2 3 4 5 6 7 total
rms: 25 22.7 17 20.8 20.8 21.9 31.6 24.4
Mean deviation is 0.87149989524431049 microns
Taper = 10 dB, Ruze illumination-weighted rms = 23.9 micron
Estimating beam: f = 650GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 650 GHz Ruze rms = 21.6 micron
Centre pixel: 128.0 128.0 Value = 13196.1 (estimate), 15687.6 (perfect)
Strehl = 0.707584
Strehl ratio estimate = 0.7076
Estimating beam: f = 900GHz Taper = 12dB defocus = 0mm
Sigma = 4.51193 (Taper = 12 dB)
Added 0.0 of Zernike 4 0 (name=spherical_aberration, index = 12)
Added 0.0 of Zernike 3 3 (name=trefoil_0, index = 6)
f = 900 GHz Ruze rms = 21.0 micron
Centre pixel: 128.0 128.0 Value = 11477.9 (estimate), 15687.6 (perfect)
Strehl = 0.535319
Strehl ratio estimate = 0.5353
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 15.7 -5.9 -7.8 18.4
2 1 2 15.4 1.1 9.1 18.0
3 1 3 28.4 -1.3 18.7 34.0
4 1 4 39.4 8.8 16.5 43.6
5 1 5 46.2 21.6 27.3 57.8
6 1 6 57.2 36.3 32.8 75.2
7 1 7 52.1 34.0 27.1 67.9
8 1 8 43.2 19.2 14.3 49.4
9 1 9 -36.4 19.1 1.6 41.2
10 1 10 34.1 17.0 -9.3 39.2
11 1 11 23.4 4.9 -9.3 25.6
12 1 12 28.1 -10.4 -9.0 31.3
13 2 1 -5.1 -10.2 -7.2 13.5
14 2 2 -0.3 -8.9 -11.6 14.6
15 2 3 -4.3 -10.7 -11.2 16.1
16 2 4 2.3 -12.7 -12.6 18.0
17 2 5 18.8 -4.9 -2.4 19.6
18 2 6 16.3 -2.6 0.7 16.6
19 2 7 10.9 -9.5 1.5 14.5
20 2 8 26.2 4.4 0.9 26.6
21 2 9 26.3 1.3 6.2 27.0
22 2 10 28.3 8.0 15.5 33.3
23 2 11 27.2 7.1 10.2 29.9
24 2 12 32.6 5.5 4.1 33.3
25 2 13 33.0 17.6 10.7 38.9
26 2 14 24.9 0.3 8.8 26.4
27 2 15 33.5 9.5 2.5 34.9
28 2 16 24.1 7.5 5.9 25.9
29 2 17 10.8 5.1 -15.0 19.2
30 2 18 12.8 -18.2 -20.7 30.4
31 2 19 2.9 -11.5 -24.6 27.3
32 2 20 -1.6 -11.6 -10.5 15.8
33 2 21 4.7 -17.4 -14.3 23.0
34 2 22 -21.7 -13.9 -8.6 27.2
35 2 23 12.0 -7.4 -2.2 14.3
36 2 24 -7.4 -17.6 -13.8 23.5
37 3 1 -6.8 -9.2 -26.8 29.1
38 3 2 2.8 -7.2 -21.8 23.1
39 3 3 3.6 -6.7 -15.5 17.2
40 3 4 -0.8 -0.1 -5.2 5.3
41 3 5 -9.1 -1.0 -1.7 9.3
42 3 6 -9.1 -1.3 0.9 9.2
43 3 7 -7.1 -2.8 -5.7 9.6
44 3 8 -5.0 -1.3 -4.8 7.1
45 3 9 5.0 -3.8 -14.6 15.9
46 3 10 0.6 2.6 -9.8 10.2
47 3 11 0.0 -2.6 -11.8 12.0
48 3 12 1.9 -1.9 -9.1 9.5
49 3 13 0.7 -2.0 -13.0 13.2
50 3 14 0.7 -0.8 -19.8 19.9
51 3 15 4.0 -5.1 -4.0 7.6
52 3 16 8.1 0.3 -7.2 10.9
53 3 17 9.6 -2.3 -2.3 10.2
54 3 18 3.3 4.2 -8.9 10.4
55 3 19 10.4 2.7 -12.8 16.7
56 3 20 1.7 4.3 -5.0 6.8
57 3 21 6.6 3.9 -6.3 9.9
58 3 22 9.4 6.7 -1.3 11.6
59 3 23 6.0 2.9 -1.8 6.9
60 3 24 6.7 -1.7 -9.9 12.1
61 3 25 7.9 -2.3 -7.5 11.1
62 3 26 -7.3 -1.6 -1.9 7.7
63 3 27 1.2 0.3 -7.3 7.4
64 3 28 7.8 -0.6 -9.6 12.4
65 3 29 -7.0 -0.6 -0.9 7.0
66 3 30 -1.5 -23.0 -2.9 23.2
67 3 31 -7.1 -0.0 -11.0 13.1
68 3 32 0.9 -0.8 -22.6 22.7
69 3 33 -3.3 3.4 3.9 6.2
70 3 34 -5.1 -20.3 4.1 21.4
71 3 35 -12.6 -14.4 -21.5 28.8
72 3 36 -5.2 -14.5 -16.1 22.2
73 3 37 -28.3 -18.4 -25.2 42.1
74 3 38 -8.6 -8.8 -7.6 14.5
75 3 39 -15.5 2.5 -24.4 29.0
76 3 40 -10.7 -7.4 -12.0 17.7
77 3 41 -3.6 -2.4 8.1 9.2
78 3 42 3.9 -1.1 2.2 4.6
79 3 43 -5.1 0.7 -2.9 5.9
80 3 44 -2.9 -4.2 4.5 6.8
81 3 45 -0.3 0.6 -9.5 9.5
82 3 46 0.5 -6.9 -10.3 12.4
83 3 47 -7.8 -5.8 -23.3 25.3
84 3 48 -1.0 -8.1 -28.8 29.9
85 4 1 -8.1 -5.8 -3.6 10.7
86 4 2 -3.9 -8.4 -13.2 16.2
87 4 3 -11.7 -7.7 -5.9 15.2
88 4 4 -6.5 -6.5 -12.3 15.4
89 4 5 -4.1 -4.5 -9.0 10.8
90 4 6 1.2 -4.7 -12.3 13.2
91 4 7 11.6 -4.9 -8.1 14.9
92 4 8 -1.6 4.4 -2.8 5.5
93 4 9 -10.1 6.4 -8.0 14.3
94 4 10 -3.7 -3.1 -11.2 12.2
95 4 11 0.1 -5.2 -9.1 10.4
96 4 12 -15.3 2.8 -16.1 22.4
97 4 13 -5.0 -3.3 0.8 6.0
98 4 14 0.4 -0.5 -5.9 5.9
99 4 15 -11.1 -3.3 -11.4 16.2
100 4 16 -10.0 1.7 -11.8 15.5
101 4 17 -12.3 -1.1 -11.5 16.9
102 4 18 4.4 -6.2 -8.8 11.6
103 4 19 -4.0 -8.7 -18.6 20.9
104 4 20 -3.6 1.4 -19.9 20.3
105 4 21 -0.9 -3.1 -10.5 11.0
106 4 22 -18.1 -5.7 -2.9 19.2
107 4 23 -12.8 -5.5 -5.9 15.2
108 4 24 -14.0 -8.4 -6.1 17.4
109 4 25 -16.0 -4.1 34.4 38.1
110 4 26 -9.8 -13.2 -10.7 19.6
111 4 27 -3.6 -11.8 -5.4 13.5
112 4 28 6.5 -6.6 -12.8 15.8
113 4 29 1.3 2.1 -54.0 54.0
114 4 30 -1.0 3.3 -4.7 5.9
115 4 31 2.5 4.4 3.4 6.1
116 4 32 -15.3 -4.2 15.9 22.4
117 4 33 -13.8 -2.4 -4.4 14.7
118 4 34 6.9 -1.8 0.2 7.2
119 4 35 -10.4 -6.4 -4.6 13.1
120 4 36 -26.8 -12.1 -24.6 38.3
121 4 37 -10.7 -2.4 -9.9 14.7
122 4 38 -5.1 -1.1 -12.9 14.0
123 4 39 -3.0 0.5 -3.9 4.9
124 4 40 -7.1 16.2 2.9 17.9
125 4 41 11.6 14.1 13.4 22.6
126 4 42 12.4 8.1 -0.5 14.8
127 4 43 11.9 4.9 -10.6 16.6
128 4 44 6.7 4.9 -3.0 8.8
129 4 45 -0.8 3.6 -3.3 4.9
130 4 46 -0.5 -2.0 -1.8 2.7
131 4 47 0.7 -2.6 -7.6 8.0
132 4 48 -5.3 -5.3 -7.8 10.8
133 5 1 -7.1 -2.1 -9.8 12.3
134 5 2 -9.2 -3.7 -5.4 11.3
135 5 3 1.5 0.7 11.4 11.5
136 5 4 -4.3 2.8 -6.6 8.4
137 5 5 -5.8 3.0 -11.4 13.2
138 5 6 2.0 -1.7 -4.9 5.6
139 5 7 -8.8 8.4 2.2 12.3
140 5 8 -9.0 1.7 -14.1 16.8
141 5 9 6.8 -2.2 -4.9 8.6
142 5 10 -11.5 1.1 -5.1 12.6
143 5 11 -6.4 -0.5 -8.0 10.2
144 5 12 -4.7 3.7 -1.6 6.2
145 5 13 -5.5 6.0 -4.0 9.0
146 5 14 -4.3 2.9 -2.2 5.6
147 5 15 -5.3 -5.1 -11.1 13.4
148 5 16 -1.7 -3.6 -6.8 7.8
149 5 17 -13.5 5.9 -7.4 16.5
150 5 18 -9.4 -9.6 197.3 197.7
151 5 19 -12.8 -11.9 -24.3 29.9
152 5 20 -18.3 -4.3 -13.1 22.9
153 5 21 -7.0 -4.3 -9.4 12.5
154 5 22 -8.6 -11.4 -4.0 14.8
155 5 23 -16.1 -7.6 -4.1 18.3
156 5 24 -10.5 -7.7 -1.3 13.1
157 5 25 -11.1 -9.5 -11.8 18.8
158 5 26 -10.2 -12.5 -12.4 20.4
159 5 27 -6.8 -11.5 -15.1 20.2
160 5 28 -5.3 -11.5 -13.1 18.2
161 5 29 -3.6 -6.9 -15.4 17.2
162 5 30 -5.1 -6.8 3.1 9.1
163 5 31 8.1 -2.4 -5.6 10.1
164 5 32 3.9 6.9 1.0 8.0
165 5 33 10.1 13.9 1.5 17.3
166 5 34 -9.4 -15.3 -5.7 18.8
167 5 35 7.6 -11.4 7.9 15.8
168 5 36 -8.6 0.7 -17.6 19.6
169 5 37 10.3 -5.2 -3.1 11.9
170 5 38 7.4 0.8 -2.2 7.8
171 5 39 5.4 -2.7 17.3 18.4
172 5 40 20.6 9.8 6.2 23.6
173 5 41 8.7 16.8 9.1 21.0
174 5 42 -5.8 13.7 7.4 16.6
175 5 43 6.3 12.6 2.8 14.4
176 5 44 9.0 13.6 8.4 18.4
177 5 45 -1.4 13.4 -0.8 13.5
178 5 46 -1.5 4.2 11.1 12.0
179 5 47 -5.4 -2.3 -11.9 13.3
180 5 48 -9.8 -0.5 -10.2 14.1
181 6 1 7.9 -6.5 -32.4 34.0
182 6 2 5.6 -4.0 -28.2 29.0
183 6 3 16.1 -5.5 -12.8 21.3
184 6 4 4.1 12.3 -10.9 17.0
185 6 5 6.4 5.5 7.9 11.6
186 6 6 8.6 12.5 -0.9 15.2
187 6 7 3.5 11.3 7.2 13.8
188 6 8 -7.8 11.8 11.2 18.0
189 6 9 -4.6 8.5 -3.0 10.1
190 6 10 -5.0 6.4 -3.0 8.7
191 6 11 1.6 10.4 -3.0 11.0
192 6 12 -4.7 12.6 -0.3 13.4
193 6 13 8.8 5.6 -0.6 10.4
194 6 14 -1.6 6.9 4.9 8.6
195 6 15 5.2 1.8 -6.2 8.3
196 6 16 10.5 5.6 -8.5 14.6
197 6 17 -17.2 -1.4 -14.0 22.2
198 6 18 -22.8 -1.7 -5.5 23.6
199 6 19 -11.0 -6.8 -8.9 15.7
200 6 20 -23.3 11.1 10.6 27.9
201 6 21 -9.8 9.5 11.6 17.9
202 6 22 8.2 9.0 2.6 12.5
203 6 23 12.1 9.0 14.9 21.2
204 6 24 4.5 8.5 -0.9 9.6
205 6 25 -1.3 8.5 -21.2 22.8
206 6 26 4.3 -7.3 -3.6 9.2
207 6 27 -12.1 -3.9 -13.3 18.4
208 6 28 -23.6 -3.0 1.2 23.8
209 6 29 -46.0 -7.7 -19.9 50.7
210 6 30 -20.0 -8.1 18.0 28.1
211 6 31 2.5 -11.1 -19.0 22.1
212 6 32 -19.7 -0.2 -3.2 19.9
213 6 33 3.9 10.3 -4.4 11.9
214 6 34 -2.0 8.3 6.7 10.9
215 6 35 -0.3 -2.1 -1.3 2.5
216 6 36 -13.4 25.0 14.0 31.6
217 6 37 -3.1 1.7 13.7 14.2
218 6 38 5.7 0.8 11.3 12.7
219 6 39 6.5 18.4 15.2 24.7
220 6 40 -5.1 17.4 5.9 19.0
221 6 41 9.2 17.1 10.8 22.2
222 6 42 15.1 19.9 7.3 26.0
223 6 43 19.1 17.5 23.8 35.2
224 6 44 20.0 20.6 24.4 37.7
225 6 45 11.4 24.1 -2.1 26.7
226 6 46 25.0 1.5 -12.2 27.9
227 6 47 6.4 1.0 -22.0 23.0
228 6 48 -5.9 -3.7 -27.4 28.3
229 7 1 -25.1 -25.2 -62.5 71.9
230 7 2 -29.9 -31.7 -65.7 78.8
231 7 3 -13.3 -31.2 -63.8 72.2
232 7 4 -12.7 -12.2 -51.4 54.4
233 7 5 -7.6 -16.3 -36.9 41.1
234 7 6 -0.6 10.5 -38.0 39.4
235 7 7 19.1 11.0 15.4 26.9
236 7 8 22.0 30.6 -32.4 49.7
237 7 9 10.4 21.3 32.3 40.1
238 7 10 3.5 25.2 25.7 36.2
239 7 11 -5.6 9.2 17.0 20.1
240 7 12 -12.6 22.5 17.2 31.0
241 7 13 2.6 15.1 25.7 29.9
242 7 14 7.1 20.9 27.1 35.0
243 7 15 -15.0 15.8 17.0 27.6
244 7 16 -3.7 13.0 14.8 20.1
245 7 17 -7.9 6.9 16.7 19.7
246 7 18 -4.5 22.9 18.1 29.5
247 7 19 5.5 17.1 30.8 35.7
248 7 20 -1.7 21.3 21.1 30.0
249 7 21 7.8 32.1 39.7 51.6
250 7 22 -0.4 37.0 33.2 49.7
251 7 23 12.3 27.5 35.5 46.6
252 7 24 -0.4 18.1 31.6 36.4
253 7 25 -20.1 15.2 -11.4 27.6
254 7 26 -9.4 6.8 -2.0 11.7
255 7 27 -13.9 5.8 -18.7 24.0
256 7 28 -18.8 2.0 256.0 256.7
257 7 29 -18.3 -7.9 -20.4 28.5
258 7 30 -11.5 -21.0 -29.6 38.1
259 7 31 -46.3 -13.9 -21.1 52.7
260 7 32 -21.4 11.6 -38.1 45.2
261 7 33 -7.9 27.2 19.0 34.1
262 7 34 9.0 28.0 24.9 38.5
263 7 35 -7.1 26.6 21.4 34.9
264 7 36 6.9 24.0 26.1 36.1
265 7 37 6.6 26.4 35.1 44.4
266 7 38 4.5 22.3 30.0 37.7
267 7 39 12.7 40.3 34.4 54.5
268 7 40 13.9 27.3 20.5 36.9
269 7 41 13.3 32.5 17.2 39.1
270 7 42 17.5 15.8 31.6 39.4
271 7 43 -33.6 28.4 -15.4 46.7
272 7 44 2.4 15.0 1.6 15.2
273 7 45 -12.6 15.2 -2.5 19.9
274 7 46 -5.4 -2.5 0.4 5.9
275 7 47 -17.6 0.5 -41.3 44.9
276 7 48 -19.6 172.2 -30.3 175.9
Creating sector-motor-move file
sector motor steps
1 1 -15
1 2 -3
1 3 -3
1 4 -3
1 5 3
1 6 1
1 7 -19
1 8 -9
1 9 -4
1 10 -3
1 11 -1
1 12 4
1 13 -20
1 14 -9
1 15 -9
1 16 -8
1 17 -1
1 18 1
1 19 -19
1 20 -7
1 21 -7
1 22 -9
1 23 -1
1 24 2
1 25 -2
1 26 0
1 27 -1
1 28 -3
1 29 -1
1 30 -2
1 31 3
1 32 0
1 33 0
1 34 -1
1 35 -2
1 36 -3
1 37 -1
1 38 -1
1 39 -2
1 40 -4
1 41 -2
1 42 -1
1 43 -3
1 44 0
1 45 -2
1 46 -1
1 47 -1
1 48 -2
1 49 -4
1 50 -2
1 51 1
1 52 -3
1 53 -2
1 54 0
1 55 -6
1 56 -2
1 57 0
1 58 -1
1 59 4
1 60 -2
1 61 -8
1 62 -2
1 63 -2
1 64 -3
1 65 -1
1 66 -2
1 67 -1
1 68 0
1 69 0
2 1 -9
2 2 9
2 3 6
2 4 3
2 5 3
2 6 -2
2 7 4
2 8 3
2 9 5
2 10 2
2 11 3
2 12 1
2 13 -11
2 14 3
2 15 0
2 16 0
2 17 3
2 18 2
2 19 -11
2 20 -4
2 21 -2
2 22 2
2 23 1
2 24 1
2 25 -4
2 26 0
2 27 -2
2 28 0
2 29 1
2 30 0
2 31 0
2 32 2
2 33 -2
2 34 -2
2 35 -1
2 36 3
2 37 -1
2 38 0
2 39 0
2 40 -3
2 41 -1
2 42 0
2 43 -3
2 44 0
2 45 -1
2 46 -2
2 47 -1
2 48 -1
2 49 -1
2 50 0
2 51 -2
2 52 -3
2 53 -3
2 54 0
2 55 0
2 56 0
2 57 -2
2 58 0
2 59 4
2 60 2
2 61 0
2 62 0
2 63 -2
2 64 -1
2 65 -1
2 66 -3
2 67 -1
2 68 0
2 69 -1
3 1 5
3 2 6
3 3 -3
3 4 0
3 5 3
3 6 -1
3 7 5
3 8 2
3 9 -1
3 10 0
3 11 3
3 12 0
3 13 7
3 14 7
3 15 1
3 16 0
3 17 1
3 18 -1
3 19 9
3 20 6
3 21 3
3 22 0
3 23 2
3 24 -1
3 25 0
3 26 1
3 27 -1
3 28 -4
3 29 0
3 30 -4
3 31 -2
3 32 0
3 33 -1
3 34 -2
3 35 -1
3 36 0
3 37 -1
3 38 0
3 39 -3
3 40 -3
3 41 0
3 42 -1
3 43 -1
3 44 0
3 45 2
3 46 -2
3 47 1
3 48 -3
3 49 -3
3 50 0
3 51 0
3 52 0
3 53 0
3 54 5
3 55 -3
3 56 0
3 57 0
3 58 0
3 59 8
3 60 5
3 61 -4
3 62 -1
3 63 1
3 64 -2
3 65 5
3 66 0
3 67 -2
3 68 0
3 69 0
4 1 4
4 2 3
4 3 -1
4 4 -2
4 5 1
4 6 3
4 7 5
4 8 4
4 9 -4
4 10 -1
4 11 0
4 12 1
4 13 8
4 14 6
4 15 2
4 16 1
4 17 2
4 18 0
4 19 7
4 20 4
4 21 0
4 22 0
4 23 1
4 24 2
4 25 -2
4 26 -1
4 27 0
4 28 -3
4 29 0
4 30 -3
4 31 -3
4 32 -1
4 33 -1
4 34 -3
4 35 -1
4 36 -3
4 37 0
4 38 0
4 39 -1
4 40 -1
4 41 0
4 42 0
4 43 -1
4 44 1
4 45 -1
4 46 0
4 47 -1
4 48 -1
4 49 -1
4 50 -1
4 51 1
4 52 0
4 53 1
4 54 8
4 55 -6
4 56 0
4 57 0
4 58 2
4 59 12
4 60 5
4 61 -3
4 62 0
4 63 0
4 64 0
4 65 3
4 66 0
4 67 -2
4 68 0
4 69 2
5 1 6
5 2 6
5 3 0
5 4 3
5 5 3
5 6 -7
5 7 9
5 8 5
5 9 1
5 10 -2
5 11 -2
5 12 -3
5 13 5
5 14 7
5 15 -1
5 16 -1
5 17 0
5 18 -7
5 19 5
5 20 2
5 21 -2
5 22 -4
5 23 0
5 24 -5
5 25 -4
5 26 -1
5 27 -5
5 28 -6
5 29 0
5 30 -1
5 31 -7
5 32 -3
5 33 -3
5 34 -5
5 35 -2
5 36 -1
5 37 60
5 38 -2
5 39 -2
5 40 -2
5 41 -1
5 42 1
5 43 -2
5 44 1
5 45 -4
5 46 -3
5 47 0
5 48 -3
5 49 -3
5 50 0
5 51 3
5 52 4
5 53 2
5 54 8
5 55 -2
5 56 1
5 57 1
5 58 6
5 59 14
5 60 8
5 61 0
5 62 0
5 63 2
5 64 2
5 65 8
5 66 1
5 67 -1
5 68 1
5 69 0
6 1 9
6 2 5
6 3 0
6 4 0
6 5 2
6 6 1
6 7 10
6 8 8
6 9 3
6 10 4
6 11 2
6 12 3
6 13 10
6 14 11
6 15 0
6 16 0
6 17 2
6 18 2
6 19 12
6 20 9
6 21 2
6 22 3
6 23 2
6 24 -3
6 25 0
6 26 -2
6 27 -3
6 28 -1
6 29 -2
6 30 -4
6 31 -1
6 32 -2
6 33 -4
6 34 -1
6 35 -1
6 36 -3
6 37 -1
6 38 -3
6 39 -2
6 40 0
6 41 -1
6 42 -5
6 43 -2
6 44 -1
6 45 -2
6 46 -3
6 47 0
6 48 0
6 49 0
6 50 0
6 51 1
6 52 1
6 53 1
6 54 10
6 55 0
6 56 2
6 57 2
6 58 11
6 59 17
6 60 10
6 61 -1
6 62 1
6 63 2
6 64 5
6 65 8
6 66 3
6 67 -3
6 68 0
6 69 2
7 1 78
7 2 0
7 3 -5
7 4 0
7 5 0
7 6 -7
7 7 -5
7 8 1
7 9 -4
7 10 -4
7 11 -1
7 12 -3
7 13 0
7 14 2
7 15 -2
7 16 -1
7 17 -2
7 18 1
7 19 -3
7 20 4
7 21 -6
7 22 -6
7 23 2
7 24 0
7 25 -4
7 26 -3
7 27 -1
7 28 -3
7 29 -2
7 30 1
7 31 -4
7 32 -3
7 33 -2
7 34 -1
7 35 -3
7 36 -1
7 37 -3
7 38 -3
7 39 -3
7 40 -3
7 41 -4
7 42 -3
7 43 -3
7 44 -2
7 45 -3
7 46 10
7 47 -1
7 48 -4
7 49 -2
7 50 0
7 51 0
7 52 2
7 53 0
7 54 7
7 55 0
7 56 0
7 57 -2
7 58 10
7 59 15
7 60 8
7 61 -2
7 62 0
7 63 2
7 64 2
7 65 10
7 66 3
7 67 -2
7 68 0
7 69 2
8 1 -11
8 2 3
8 3 -6
8 4 0
8 5 0
8 6 -6
8 7 -6
8 8 -4
8 9 -14
8 10 -5
8 11 -3
8 12 0
8 13 -9
8 14 -6
8 15 -3
8 16 5
8 17 -2
8 18 -6
8 19 -6
8 20 -2
8 21 -5
8 22 -6
8 23 -2
8 24 -14
8 25 0
8 26 2
8 27 1
8 28 4
8 29 -1
8 30 -4
8 31 -1
8 32 0
8 33 2
8 34 1
8 35 1
8 36 0
8 37 0
8 38 -2
8 39 -1
8 40 -1
8 41 1
8 42 0
8 43 -4
8 44 -2
8 45 -1
8 46 -16
8 47 0
8 48 0
8 49 -3
8 50 0
8 51 -2
8 52 1
8 53 2
8 54 7
8 55 0
8 56 -7
8 57 0
8 58 5
8 59 13
8 60 4
8 61 0
8 62 0
8 63 -2
8 64 1
8 65 10
8 66 0
8 67 -6
8 68 0
8 69 0
9 1 8
9 2 7
9 3 2
9 4 4
9 5 7
9 6 -4
9 7 6
9 8 8
9 9 -2
9 10 0
9 11 0
9 12 0
9 13 7
9 14 8
9 15 2
9 16 2
9 17 2
9 18 0
9 19 5
9 20 8
9 21 -2
9 22 -1
9 23 3
9 24 1
9 25 -5
9 26 0
9 27 -2
9 28 -7
9 29 -3
9 30 -8
9 31 2
9 32 -3
9 33 2
9 34 -1
9 35 -1
9 36 -3
9 37 -1
9 38 -4
9 39 -2
9 40 0
9 41 0
9 42 2
9 43 0
9 44 4
9 45 3
9 46 -1
9 47 0
9 48 -4
9 49 -6
9 50 -4
9 51 -3
9 52 -6
9 53 -5
9 54 3
9 55 1
9 56 -6
9 57 -1
9 58 5
9 59 -11
9 60 0
9 61 1
9 62 1
9 63 -1
9 64 -3
9 65 3
9 66 -4
9 67 -4
9 68 -4
9 69 -1
10 1 6
10 2 8
10 3 4
10 4 1
10 5 5
10 6 -1
10 7 10
10 8 12
10 9 3
10 10 4
10 11 5
10 12 1
10 13 9
10 14 6
10 15 1
10 16 3
10 17 0
10 18 1
10 19 10
10 20 8
10 21 2
10 22 4
10 23 0
10 24 0
10 25 1
10 26 3
10 27 6
10 28 0
10 29 4
10 30 -2
10 31 5
10 32 0
10 33 1
10 34 -1
10 35 0
10 36 0
10 37 0
10 38 0
10 39 2
10 40 -3
10 41 0
10 42 -1
10 43 0
10 44 -1
10 45 3
10 46 -3
10 47 0
10 48 -3
10 49 -7
10 50 0
10 51 -4
10 52 -3
10 53 -3
10 54 0
10 55 -2
10 56 -2
10 57 -2
10 58 5
10 59 10
10 60 -2
10 61 -7
10 62 -5
10 63 -8
10 64 -5
10 65 0
10 66 -7
10 67 -3
10 68 -2
10 69 -3
11 1 0
11 2 4
11 3 0
11 4 7
11 5 6
11 6 6
11 7 -4
11 8 8
11 9 -10
11 10 7
11 11 5
11 12 5
11 13 9
11 14 4
11 15 5
11 16 2
11 17 6
11 18 4
11 19 5
11 20 9
11 21 4
11 22 3
11 23 5
11 24 2
11 25 2
11 26 4
11 27 2
11 28 0
11 29 1
11 30 2
11 31 0
11 32 3
11 33 1
11 34 -3
11 35 1
11 36 3
11 37 2
11 38 4
11 39 -1
11 40 0
11 41 2
11 42 3
11 43 2
11 44 5
11 45 2
11 46 4
11 47 4
11 48 3
11 49 0
11 50 0
11 51 -1
11 52 -2
11 53 -4
11 54 -6
11 55 0
11 56 0
11 57 1
11 58 1
11 59 7
11 60 -2
11 61 2
11 62 0
11 63 -1
11 64 -2
11 65 1
11 66 -4
11 67 1
11 68 -1
11 69 0
12 1 -9
12 2 52
12 3 -5
12 4 -8
12 5 -1
12 6 -1
12 7 -12
12 8 0
12 9 -5
12 10 -6
12 11 0
12 12 1
12 13 0
12 14 0
12 15 -1
12 16 -3
12 17 0
12 18 7
12 19 0
12 20 4
12 21 -3
12 22 0
12 23 7
12 24 3
12 25 -3
12 26 0
12 27 -2
12 28 -2
12 29 -1
12 30 -1
12 31 -3
12 32 0
12 33 -1
12 34 -2
12 35 0
12 36 0
12 37 3
12 38 1
12 39 0
12 40 0
12 41 0
12 42 0
12 43 0
12 44 4
12 45 0
12 46 -1
12 47 1
12 48 0
12 49 -7
12 50 -1
12 51 -2
12 52 -4
12 53 -5
12 54 -2
12 55 -3
12 56 -2
12 57 0
12 58 -3
12 59 8
12 60 -2
12 61 -2
12 62 0
12 63 0
12 64 -3
12 65 3
12 66 0
12 67 -8
12 68 -2
12 69 0
Adjuster movements: rms = 19.4 micron
Looking for bad motors
No bad motor file specified
Finished panel fit
Evaluating simulated dish from adjuster moves
Reduction ended at: 20050120-122150
Creating HTML output file of plots
Plotting summary text